From d630c565cf5cc0453495b1eadb556a0ee4e83cc9 Mon Sep 17 00:00:00 2001
From: MdeLange <44737030+bullant@users.noreply.github.com>
Date: Thu, 10 Jul 2025 13:47:06 +1000
Subject: [PATCH 001/332] [Edit] General: Routing

---
 content/general/concepts/routing/routing.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/content/general/concepts/routing/routing.md b/content/general/concepts/routing/routing.md
index 2b2afa34efd..6992c897351 100644
--- a/content/general/concepts/routing/routing.md
+++ b/content/general/concepts/routing/routing.md
@@ -13,9 +13,9 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-**Routing** is the process of deciding what paths communication signals may take across one or more networks. This process is used in many scenarios related to computer networking, including:
+**Routing** is the process of deciding what paths communication signals may take across one or more networks. The difference between routers and switches is that switches connect devices within the same network, while routers connect different networks. Routers are therefore also known as layer 3 devices whereas switches mainly operate at layer 2 (data link layer) of the OSI model. When a device on the LAN needs to communicate outside of its subnet, a switch forwards the traffic to the router that sends the traffic to the appropriate external network. The routing process is used in many scenarios related to computer networking, including:
 
-- A PC communicating with a printer across a Local Area Network, or LAN.
+- A PC communicating with a printer located in a different subnet of the same Local Area Network, or LAN.
 - A phone's web browser communicating with a web server over the Internet.
 
 Through routing, these communication signals, called packets, can take multiple paths from the source to the destination.

From 9c1aa5cf8975a7d0da73849f3e34837ac7cb1267 Mon Sep 17 00:00:00 2001
From: Jana Maire <33980489+joha1na@users.noreply.github.com>
Date: Thu, 10 Jul 2025 05:57:32 +0200
Subject: [PATCH 002/332] [Term Entry] JavaScript Strings: .endsWith()

* Add documentation for the JavaScript .endsWith() method

* Update endsWith.md

* Update endsWith.md

* Update endsWith.md

---------
---
 .../strings/terms/endsWith/endsWith.md        | 54 +++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 content/javascript/concepts/strings/terms/endsWith/endsWith.md

diff --git a/content/javascript/concepts/strings/terms/endsWith/endsWith.md b/content/javascript/concepts/strings/terms/endsWith/endsWith.md
new file mode 100644
index 00000000000..57b5cb6f48f
--- /dev/null
+++ b/content/javascript/concepts/strings/terms/endsWith/endsWith.md
@@ -0,0 +1,54 @@
+---
+Title: '.endsWith()'
+Description: 'Checks if a string ends with a specified substring, returning true if it does and false otherwise.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Methods'
+  - 'Strings'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.endsWith()`** JavaScript string method checks whether a string ends with a given substring, returning `true` if it does and `false` otherwise. It returns `true` when the specified string is empty (`""`). The method is case-sensitive.
+
+## Syntax
+
+```pseudo
+string.endsWith(searchString, endPosition);
+```
+
+**Parameters:**
+
+- `searchString`: The characters to search for at the end of `string`.
+- `length` (optional): If provided, it considers only the first [`length`](https://www.codecademy.com/resources/docs/javascript/strings/length) characters of the string.
+
+## Example
+
+In this example, the `.endsWith()` method checks if a string ends with a given substring, optionally considering only a portion of the string based on the provided length:
+
+```js
+console.log('Hello, World! This is JavaScript.'.endsWith('JavaScript.'));
+
+console.log('Hello, World! This is JavaScript.'.endsWith('JavaScript'));
+
+console.log('Hello, World! This is JavaScript.'.endsWith('World', 12));
+```
+
+The output of this code is:
+
+```shell
+true
+false
+true
+```
+
+## Codebyte Example
+
+This codebyte example is runnable and checks whether a string, up to the specified position, ends with the given search string:
+
+```codebyte/javascript
+console.log('Does Codecademy end with my?'.endsWith('my', 15));
+```

From 9c395c66dd105b959c8760e7a70d2d13705a23f3 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 10 Jul 2025 22:20:23 +0530
Subject: [PATCH 003/332] [Edit]: Python `hash()` (#7197)

* [Edit]: Python `hash()`

* Update content/python/concepts/built-in-functions/terms/hash/hash.md

* Update content/python/concepts/built-in-functions/terms/hash/hash.md

* Update content/python/concepts/built-in-functions/terms/hash/hash.md

* Update content/python/concepts/built-in-functions/terms/hash/hash.md

* Update content/python/concepts/built-in-functions/terms/hash/hash.md

* Update content/python/concepts/built-in-functions/terms/hash/hash.md

* Update content/python/concepts/built-in-functions/terms/hash/hash.md

---------
---
 .../built-in-functions/terms/hash/hash.md     | 176 +++++++++++++++---
 1 file changed, 147 insertions(+), 29 deletions(-)

diff --git a/content/python/concepts/built-in-functions/terms/hash/hash.md b/content/python/concepts/built-in-functions/terms/hash/hash.md
index e57df598390..b3568c510d2 100644
--- a/content/python/concepts/built-in-functions/terms/hash/hash.md
+++ b/content/python/concepts/built-in-functions/terms/hash/hash.md
@@ -1,20 +1,22 @@
 ---
 Title: 'hash()'
-Description: 'Returns the hash value as a fixed sized integer.'
+Description: 'Returns the hash value of an object for efficient dictionary key comparisons and data retrieval operations.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Data Science'
 Tags:
-  - 'Integers'
+  - 'Data Structures'
   - 'Functions'
-  - 'Input'
+  - 'Hashes'
   - 'Methods'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-The built-in **`hash()`** function returns a fixed-size integer hash value for an object, such as numbers, strings, tuples, or custom objects implementing the `__hash__()` method. Using type-specific algorithms, it facilitates efficient dictionary key comparisons during lookups. It can be used directly without requiring any imports.
+The **`hash()`** function is a [built-in](https://www.codecademy.com/resources/docs/python/built-in-functions) Python function that returns an object's hash value if it has one. Hash values are integers used to quickly compare dictionary keys during lookups, making data retrieval operations more efficient. The `hash()` function facilitates efficient [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) key comparisons and is essential for implementing hashable collections like sets and dictionary keys.
+
+The `hash()` function works with hashable objects such as numbers, [strings](https://www.codecademy.com/resources/docs/python/strings), [tuples](https://www.codecademy.com/resources/docs/python/tuples), and custom objects that implement the `__hash__()` method. It plays a crucial role in Python's internal data structures and is commonly used for data integrity checks, caching mechanisms, and creating unique identifiers for objects.
 
 ## Syntax
 
@@ -22,42 +24,158 @@ The built-in **`hash()`** function returns a fixed-size integer hash value for a
 hash(object)
 ```
 
-The `hash()` function takes a single argument, `object`, which represents the object from which to obtain the hash value.
+**Parameters:**
 
-The `object` can be of any hashable type, such as numbers, strings, tuples, or custom objects that implement the `__hash__()` method.
+- `object`: The object for which to calculate the hash value. The object must be hashable (immutable types like numbers, strings, tuples, or custom objects implementing `__hash__()`).
 
-## Example
+**Return value:**
 
-The example below defines a class called `MyClass`, with an attribute called `value`. The `__hash__()` method is implemented to customize the hashing behavior based on the `value` attribute.
+The `hash()` function returns an integer representing the hash value of the object. If the object is not hashable, it raises a `TypeError`.
 
-Two instances of `MyClass`, `obj1` and `obj2`, are created with different values. The `hash()` function is used to calculate the hash values of these objects. These values are then printed to the console.
+## Example 1: Basic Hash Calculation
 
-This example demonstrates how to customize the hash function for a custom class using the `__hash__()` method.
+This example demonstrates how to calculate hash values for different data types including integers, strings, and floats:
 
 ```py
-# Define a class
-class MyClass:
-    def __init__(self, value):
-        self.value = value
+# Hash different data types
+number = 42
+text = "Python Programming"
+decimal = 3.14159
+
+# Calculate hash values
+number_hash = hash(number)
+text_hash = hash(text)
+decimal_hash = hash(decimal)
+
+# Display the results
+print(f"Hash of {number}: {number_hash}")
+print(f"Hash of '{text}': {text_hash}")
+print(f"Hash of {decimal}: {decimal_hash}")
+```
+
+The output of the above code is:
+
+```shell
+Hash of 42: 42
+Hash of 'Python Programming': -1234567890123456789
+Hash of 3.14159: 1234567890987654321
+```
 
-    def __hash__(self):
-        return hash(self.value)
+> **Note:** These are placeholder values. Hash values for strings and floats can vary between runs due to hash randomization.
 
-# Create instances of MyClass
-obj1 = MyClass(42)
-obj2 = MyClass("Hello")
+The above example shows that `hash()` works with various immutable data types. Notice that integers often return themselves as hash values for small numbers, while strings and floats produce larger hash values.
 
-# Check the hash values
-print(hash(obj1))
-print(hash(obj2))
+## Example 2: Hashable vs Non-Hashable Objects
+
+This example illustrates the difference between hashable and non-hashable objects, demonstrating why some objects can be hashed while others cannot:
+
+```py
+# Hashable objects (immutable)
+hashable_tuple = (1, 2, 3, "hello")
+hashable_string = "Python"
+hashable_number = 100
+
+# Calculate hash for hashable objects
+print(f"Tuple hash: {hash(hashable_tuple)}")
+print(f"String hash: {hash(hashable_string)}")
+print(f"Number hash: {hash(hashable_number)}")
+
+# Non-hashable objects (mutable)
+mutable_list = [1, 2, 3]
+mutable_dict = {"key": "value"}
+
+# Attempting to hash mutable objects will raise TypeError
+try:
+  print(f"List hash: {hash(mutable_list)}")
+except TypeError as e:
+  print(f"Error hashing list: {e}")
+
+try:
+  print(f"Dict hash: {hash(mutable_dict)}")
+except TypeError as e:
+  print(f"Error hashing dictionary: {e}")
 ```
 
-## Codebyte Example
+The output of the above code is as follows:
+
+```shell
+Tuple hash: -1815842884691876695
+String hash: -8264853706715907173
+Number hash: 100
+Error hashing list: unhashable type: 'list'
+Error hashing dictionary: unhashable type: 'dict'
+```
+
+The above example demonstrates that only immutable objects can be hashed. Mutable objects like [lists](https://www.codecademy.com/resources/docs/python/lists) and dictionaries raise a `TypeError` when passed to the `hash()` function because their contents can change, which would invalidate their hash values.
+
+## Codebyte Example: Custom Object Hashing
 
-In the example below, we define `my_tuple` as `(1, 2, 3)`. Subsequently, we use the `hash()` function to obtain the hash value of the input `my_tuple`. Then, we print the output of the `hash()` function.
+This example shows how to implement custom hashing behavior for user-defined classes by overriding the `__hash__()` and `__eq__()` methods:
 
-```codebyte/python
-my_tuple = (1, 2, 3)
-hash_value = hash(my_tuple)
-print(hash_value)
+```py
+class Student:
+  def __init__(self, name, student_id, grade):
+    self.name = name
+    self.student_id = student_id
+    self.grade = grade
+
+  def __hash__(self):
+    # Create hash based on immutable attributes
+    return hash((self.name, self.student_id))
+
+  def __eq__(self, other):
+    # Define equality for proper hash behavior
+    if isinstance(other, Student):
+      return (self.name == other.name and
+              self.student_id == other.student_id)
+    return False
+
+  def __repr__(self):
+    return f"Student('{self.name}', {self.student_id}, '{self.grade}')"
+
+# Create student objects
+student1 = Student("Alice Johnson", 12345, "A")
+student2 = Student("Bob Smith", 54321, "B")
+student3 = Student("Alice Johnson", 12345, "A+")  # Same name and ID
+
+# Calculate and display hash values
+print(f"Student 1 hash: {hash(student1)}")
+print(f"Student 2 hash: {hash(student2)}")
+print(f"Student 3 hash: {hash(student3)}")
+
+# Check if students with same name and ID have same hash
+print(f"Student 1 == Student 3: {student1 == student3}")
+print(f"Same hash values: {hash(student1) == hash(student3)}")
+
+# Use students as dictionary keys
+student_grades = {
+  student1: "Excellent",
+  student2: "Good"
+}
+
+print(f"Grades dictionary: {student_grades}")
 ```
+
+The above example demonstrates proper implementation of custom hashing. The `__hash__()` method uses only immutable attributes (name and student_id), while the `__eq__()` method ensures that objects comparing as equal have the same hash value, which is required for correct behavior in hash-based collections.
+
+## Frequently Asked Questions
+
+### 1. Is there a built-in hash table in Python?
+
+Yes, Python's `dict` (dictionary) is implemented as a hash table internally. Dictionaries use hash values of keys for fast lookups, insertions, and deletions. The `hash()` function is used internally to compute these hash values.
+
+## 2. Does Python have a built-in hashmap?
+
+Python's `dict` type serves as the built-in hashmap implementation. It provides `O(1)` average-case time complexity for key operations and automatically handles hash collisions and table resizing.
+
+## 3. Can I hash mutable objects in Python?
+
+No, mutable objects like lists, dictionaries, and sets cannot be hashed directly because their contents can change, which would invalidate their hash values. Only immutable objects can be safely hashed.
+
+## 4. Why do hash values change between Python sessions?
+
+Python uses hash randomization by default for security reasons. This means hash values for strings and other objects may differ between program runs but remain consistent within a single session.
+
+## 5. How can I make my custom class hashable?
+
+Implement both `__hash__()` and `__eq__()` methods in your class. The `__hash__()` method should return an integer based on immutable attributes, and objects that compare as equal must have the same hash value.

From 4d4c3eaf173ef5a47bd1d279bbc4bec9982fb6a2 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 10 Jul 2025 22:32:02 +0530
Subject: [PATCH 004/332] [Edit]: Python `.isnumeric()` (#7199)

* [Edit]: Python `.isnumeric()`

* Update content/python/concepts/strings/terms/isnumeric/isnumeric.md

* Update content/python/concepts/strings/terms/isnumeric/isnumeric.md

* Update content/python/concepts/strings/terms/isnumeric/isnumeric.md

* Update content/python/concepts/strings/terms/isnumeric/isnumeric.md

---------
---
 .../strings/terms/isnumeric/isnumeric.md      | 138 +++++++++++++-----
 1 file changed, 104 insertions(+), 34 deletions(-)

diff --git a/content/python/concepts/strings/terms/isnumeric/isnumeric.md b/content/python/concepts/strings/terms/isnumeric/isnumeric.md
index 961ca63231b..8658eb6dac7 100644
--- a/content/python/concepts/strings/terms/isnumeric/isnumeric.md
+++ b/content/python/concepts/strings/terms/isnumeric/isnumeric.md
@@ -1,64 +1,134 @@
 ---
 Title: '.isnumeric()'
-Description: 'Verifies that all the characters within the string variable are numeric.'
+Description: 'Returns True if all characters in a string are numeric characters.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
+  - 'Booleans'
   - 'Methods'
-  - 'Functions'
+  - 'Strings'
+  - 'Validation'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-**`.isnumeric()`** is used to verify that the string variable consists of numerical characters only. Which means the string cannot contain a space, comma, dash, or any other characters that are not numerical.
+The **`.isnumeric()`** method is a built-in [string](https://www.codecademy.com/resources/docs/python/strings) method in Python that determines whether all characters in a string are numeric characters. This method returns a [Boolean](https://www.codecademy.com/resources/docs/general/data-types/boolean) value indicating if the string consists entirely of numeric characters and is not empty. It is commonly used for input validation, data processing, and string analysis tasks where numeric content verification is required.
 
-## Syntax
+The `.isnumeric()` method provides a reliable way to check if a string contains only numeric characters, including digits (0-9), subscripts, superscripts, fractions, and other Unicode numeric characters. It is particularly useful in scenarios such as validating user input, processing CSV data, or filtering numeric content from mixed datasets.
 
-There are two ways of using this function:
+## Syntax
 
 ```pseudo
-str.isnumeric(str_variable)
-
-str_variable.isnumeric()
+string.isnumeric()
 ```
 
-## Example
+**Parameters:**
+
+The `.isnumeric()` method does not take any parameters.
+
+**Return value:**
+
+- Returns `True` if all characters in the string are numeric characters and the string is not empty
+- Returns `False` if the string contains any non-numeric characters, is empty, or contains whitespace
+
+## Example 1: Basic Usage
 
-The following examples implement `.isnumeric()` and will return `True`:
+This example demonstrates the fundamental use of the `.isnumeric()` method to check if a string contains only numeric characters:
 
-```python
-print(str.isnumeric("2"))
-print(str.isnumeric("½"))
-print(str.isnumeric("2023"))
+```py
+# Check if string contains only numeric characters
+text = "123456"
+result = text.isnumeric()
+print(result)
+
+# Check with mixed content
+mixed_text = "123abc"
+mixed_result = mixed_text.isnumeric()
+print(mixed_result)
+
+# Check with empty string
+empty_text = ""
+empty_result = empty_text.isnumeric()
+print(empty_result)
+```
+
+This example results in the following output:
+
+```shell
+True
+False
+False
 ```
 
-or
+In the above code, the first string returns `True` because it contains only numeric digits. The second returns `False` because it contains alphabetic characters, and the third returns `False` because empty strings are not considered numeric.
+
+## Example 2: Input Validation
 
-```python
-# Define the string variables
-num = "2"
-one_half = "½"
-year = "2023"
+This example shows how to use `.isnumeric()` for validating user input in a real-world scenario where only numeric input is acceptable:
 
-# Show the results
-print(num.isnumeric())
-print(one_half.isnumeric())
-print(year.isnumeric())
+```py
+# Simulate user input validation for age
+user_inputs = ["25", "thirty", "18", "12.5", "0"]
+
+for user_input in user_inputs:
+  if user_input.isnumeric():
+    age = int(user_input)
+    if age >= 18:
+      print(f"Age {age}: Valid adult")
+    else:
+      print(f"Age {age}: Valid minor")
+  else:
+    print(f"'{user_input}': Invalid input - not numeric")
 ```
 
-## Codebyte Example
+The output of the above code will be:
+
+```shell
+Age 25: Valid adult
+'thirty': Invalid input - not numeric
+Age 18: Valid adult
+'12.5': Invalid input - not numeric
+Age 0: Valid minor
+```
 
-This example is runnable and demonstrates instances where non-numeric values are passed into the `.isnumeric()` function:
+The above example demonstrates how `.isnumeric()` can be used to filter valid numeric input before converting to integers and performing age validation logic.
 
-```codebyte/python
-# A string that includes a space
-print(str.isnumeric("20 21"))
+## Codebyte Example: Data Processing
 
-# A string that includes a comma
-print(str.isnumeric("20,21"))
+This example illustrates using `.isnumeric()` to process and filter numeric data from a mixed dataset, which is common when working with CSV files or user-generated content:
 
-# A string that includes a dash
-print(str.isnumeric("-21"))
+```codebyte/python
+# Process mixed data to extract numeric values
+data_list = ["100", "hello", "250", "world", "75", "test123", "500"]
+numeric_values = []
+non_numeric_items = []
+
+for item in data_list:
+  if item.isnumeric():
+    numeric_values.append(int(item))
+  else:
+    non_numeric_items.append(item)
+
+print("Numeric values:", numeric_values)
+print("Non-numeric items:", non_numeric_items)
+print("Sum of numeric values:", sum(numeric_values))
+print("Average:", sum(numeric_values) / len(numeric_values))
 ```
+
+This demonstrates a practical application of `.isnumeric()` for data cleaning and processing, separating numeric data for mathematical operations while identifying non-numeric entries for further handling.
+
+## Frequently Asked Questions
+
+### 1. What's the difference between `.isnumeric()`, `.isdigit()`, and `.isdecimal()`?
+
+`.isnumeric()` accepts the widest range of numeric characters including Unicode numerals, superscripts, and fractions. `.isdigit()` accepts digits and superscripts but not fractions. `.isdecimal()` only accepts standard decimal digits (0-9).
+
+### 2. Does `.isnumeric()` work with negative numbers or decimals?
+
+No, `.isnumeric()` returns `False` for strings containing minus signs (-) or decimal points (.). It only recognizes pure numeric characters without mathematical symbols.
+
+### 3. Why does `.isnumeric()` return `False` for empty strings?
+
+An empty string is not considered to contain numeric characters, so `.isnumeric()` returns `False` following Python's convention that validation methods require actual content to return `True`.

From ed5472849479a812ee15189e258e81fd3f37bed4 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 11 Jul 2025 23:07:39 +0530
Subject: [PATCH 005/332] [Edit]: Python `eval()` (#7205)

* [Edit]: Python `eval()`

* Update eval.md

* Changed Code

* Update content/python/concepts/built-in-functions/terms/eval/eval.md

* Update content/python/concepts/built-in-functions/terms/eval/eval.md

* Update content/python/concepts/built-in-functions/terms/eval/eval.md

* Update content/python/concepts/built-in-functions/terms/eval/eval.md

* Update content/python/concepts/built-in-functions/terms/eval/eval.md

---------
---
 .../built-in-functions/terms/eval/eval.md     | 167 +++++++++++++++---
 1 file changed, 138 insertions(+), 29 deletions(-)

diff --git a/content/python/concepts/built-in-functions/terms/eval/eval.md b/content/python/concepts/built-in-functions/terms/eval/eval.md
index d2253788e7c..ff8310bd164 100644
--- a/content/python/concepts/built-in-functions/terms/eval/eval.md
+++ b/content/python/concepts/built-in-functions/terms/eval/eval.md
@@ -1,23 +1,23 @@
 ---
 Title: 'eval()'
-Description: 'Returns the value of a Python expression passed as a string.'
+Description: 'Evaluates and executes Python expressions from string input dynamically.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
 Tags:
   - 'Functions'
-  - 'Methods'
+  - 'Python'
   - 'Strings'
 CatalogContent:
   - 'learn-python-3'
-  - 'paths/data-science'
+  - 'paths/computer-science'
 ---
 
-The **`eval()`** function returns the value of a Python expression passed as a [string](https://www.codecademy.com/resources/docs/python/strings).
+The **`eval()`** function is a [built-in](https://www.codecademy.com/resources/docs/python/built-in-functions) Python function that dynamically evaluates and executes Python expressions from [string](https://www.codecademy.com/resources/docs/python/strings)-based input. This powerful function parses a string containing a Python expression, compiles it into bytecode, and then evaluates it as if it were written directly in the code.
 
-## Security Concerns
+The `eval()` function is commonly used in scenarios where there is a need to evaluate mathematical expressions from user input, create dynamic code execution systems, or process expressions stored as strings. However, it should be used with caution due to significant security implications when handling untrusted input.
 
-While `eval()` can be useful, care must be taken to understand the security implications of this function. If `eval()` is used with user-generated strings, a malicious user could execute arbitrary code through the function. Good programming practice generally advises against using `eval()`. If it is used, it should never be used with untrusted input.
+> **Note:** Never use `eval()` on untrusted input without strict validation or sandboxing, as it can execute arbitrary code and pose major security risks.
 
 ## Syntax
 
@@ -25,40 +25,149 @@ While `eval()` can be useful, care must be taken to understand the security impl
 eval(expression, globals, locals)
 ```
 
-The `eval()` function uses the following parameters:
+**Parameters:**
 
-- `expression`: The expression to evaluate.
-- `globals` (optional): A [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) defining which [variables](https://www.codecademy.com/resources/docs/python/variables) are in the `expression`'s global [scope](https://www.codecademy.com/resources/docs/python/scope). If `globals` isn't specified, `eval()` uses the current global scope.
-- `locals` (optional): A dictionary defining the variables in the `expression`'s local scope. If the `locals` argument is specified, the `globals` argument must be specified as well.
+- `expression`: A string containing a valid Python expression to be evaluated
+- `globals` (optional): A [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) specifying the global namespace for the evaluation
+- `locals` (optional): A dictionary specifying the local namespace for the evaluation
 
-> **Note:** While using the `globals` argument overrides the user defined variables available, if it doesn't specify a value for the `__builtins__` key, then a reference for it is automatically added so that `eval()` will have access to all of Python's built-in names when evaluating `expression`.
->
-> **Note:** `eval()` does not support keyword arguments and it doesn't work on compound statements or assignment operations. It only works with expressions that can be evaluated to be equal to some value.
+**Return value:**
 
-## Example
+The `eval()` function returns the result of the evaluated expression. The return type depends on the expression being evaluated.
 
-The following example uses `eval()` to evaluate an expression using variables in the current global scope, then evaluates the same expression with its own global scope:
+## Example 1: Basic Mathematical Evaluation
+
+The following example demonstrates the fundamental usage of `eval()` for evaluating simple mathematical expressions:
 
 ```py
-x = 10
-y = 5
+# Evaluating basic arithmetic expressions
+result1 = eval("5 + 3")
+print(f"5 + 3 = {result1}")
+
+result2 = eval("10 * 2 - 5")
+print(f"10 * 2 - 5 = {result2}")
 
-print(eval("x + y")) # Output: 15
-print(eval("x + y", {"x":15, "y":y})) # Output: 20
+# Evaluating expressions with variables
+x = 4
+result3 = eval("x ** 2 + 1")
+print(f"x ** 2 + 1 = {result3}")
 ```
 
-## Codebyte Example
+The output of this code is:
 
-In the examples below, the `eval()` function is used to return a value from a string:
+```shell
+5 + 3 = 8
+10 * 2 - 5 = 15
+x ** 2 + 1 = 17
+```
 
-```codebyte/python
-x = 2
-y = 3
+This example shows how `eval()` can process mathematical expressions stored as strings and return their computed values.
+
+## Example 2: Dynamic Calculator Application
+
+The following example demonstrates a real-world scenario where `eval()` can be used to create a simple calculator that processes user input:
+
+```py
+def safe_calculator():
+  # Define allowed mathematical operations
+  allowed_names = {
+    'abs': abs, 'round': round, 'min': min, 'max': max,
+    'sum': sum, 'pow': pow, 'sqrt': lambda x: x ** 0.5
+  }
 
-print(eval("x * y"))
-print(eval("x * y", {"x": 3, "y": y}))
-print(eval("min([-10, 20, 45])"))
+  # Set up a safe global environment (no built-ins, only allowed functions)
+  safe_globals = {"__builtins__": None}
+  safe_globals.update(allowed_names)
 
-# The following example will create a TypeError as the first argument must be a string
-# print(eval(x*y))
+  print("Simple Calculator (type 'quit' to exit)")
+
+  while True:
+    try:
+      # Get user input
+      expression = input("Enter expression: ")
+
+      if expression.lower() == 'quit':
+        break
+
+      # Evaluate with restricted namespace
+      result = eval(expression, safe_globals)
+      print(f"Result: {result}")
+
+    except Exception as e:
+      print(f"Error: {e}")
+
+safe_calculator()
+
+# Example usage
+# User inputs: "25 + 17", "sqrt(144)", "pow(2, 3)"
 ```
+
+The above code will produce the following output based on the example inputs:
+
+```shell
+Simple Calculator (type 'quit' to exit)
+Enter expression: 25 + 17
+Result: 42
+Enter expression: sqrt(144)
+Result: 12.0
+Enter expression: pow(2, 3)
+Result: 8
+```
+
+This example shows how `eval()` can create an interactive calculator while using restricted namespaces to improve security.
+
+## Codebyte Example: Configuration File Processing
+
+The following example illustrates how `eval()` can be used to process configuration values stored as strings:
+
+```codebyte/python
+import json
+
+def process_config(config_data):
+  """Process configuration with dynamic evaluation"""
+
+  # Sample configuration with expressions
+  config = {
+    "max_connections": "50 * 2",
+    "timeout_seconds": "30 + 15",
+    "cache_size": "1024 * 1024",
+    "debug_mode": "True"
+  }
+
+  processed_config = {}
+
+  # Safe namespace for evaluation
+  safe_globals = {"__builtins__": {}}
+  safe_locals = {"True": True, "False": False}
+
+  for key, value in config.items():
+    try:
+      # Evaluate the expression safely
+      processed_config[key] = eval(value, safe_globals, safe_locals)
+      print(f"{key}: {value} -> {processed_config[key]}")
+    except:
+      # If evaluation fails, keep original string
+      processed_config[key] = value
+      print(f"{key}: {value} (kept as string)")
+
+  return processed_config
+
+# Execute the function
+result = process_config({})
+```
+
+This example demonstrates how `eval()` can dynamically process configuration values while maintaining security through restricted namespaces.
+
+## Frequently Asked Questions
+
+### 1. What's the difference between `eval()` and `exec()`?
+
+`eval()` evaluates expressions and returns a value, while `exec()` executes statements and returns None. Use `eval()` for expressions like "2 + 3" and `exec()` for statements like "x = 5".
+
+### 2. Can `eval()` handle multi-line expressions?
+
+No, `eval()` only works with single expressions. For multi-line code execution, use `exec()` instead.
+
+### 3. What happens if `eval()` receives invalid syntax?
+
+`eval()` raises a `SyntaxError` exception if the expression contains invalid Python syntax.

From 8b15709ff61679043158eb53a7479a32e36c0d4f Mon Sep 17 00:00:00 2001
From: Aslak2322 <147713237+Aslak2322@users.noreply.github.com>
Date: Mon, 14 Jul 2025 06:00:38 +0200
Subject: [PATCH 006/332] [Term Entry] C++ Pointers: .release()

* done

* content fixes

* Minor changes

---------
---
 .../pointers/terms/release/release.md         | 107 ++++++++++++++++++
 1 file changed, 107 insertions(+)
 create mode 100644 content/cpp/concepts/pointers/terms/release/release.md

diff --git a/content/cpp/concepts/pointers/terms/release/release.md b/content/cpp/concepts/pointers/terms/release/release.md
new file mode 100644
index 00000000000..85e05197fdc
--- /dev/null
+++ b/content/cpp/concepts/pointers/terms/release/release.md
@@ -0,0 +1,107 @@
+---
+Title: '.release()'
+Description: 'Releases ownership of the managed object from a `std::unique_ptr`, returning the raw pointer and leaving the `unique_ptr` empty.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Memory'
+  - 'Pointers'
+  - 'Programming'
+  - 'Variables'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.release()`** function is a member of the smart pointer class `std::unique_ptr`. It releases ownership of the managed object and returns a raw pointer to that object. After calling `.release()`, the `unique_ptr` becomes empty and holds `nullptr`.
+
+## Syntax
+
+If `ptr` is a `std::unique_ptr`, then:
+
+```pseudo
+ptr.release();
+```
+
+**Parameters:**
+
+The function takes no parameters.
+
+**Return value:**
+
+Returns the raw pointer to the object managed by the `unique_ptr` before the call.
+
+## Example
+
+This example demonstrates how to use `.release()`:
+
+```cpp
+#include <iostream>
+#include <memory>
+
+int main() {
+  // Create a unique_ptr managing a new int
+  std::unique_ptr<int> auto_pointer(new int);
+
+  // Assign value 10 to the managed object
+  *auto_pointer = 10;
+
+  // Release ownership and get the raw pointer
+  int* manual_pointer = auto_pointer.release();
+
+  // Output the value pointed to by manual_pointer
+  std::cout << "manual_pointer now points to " << *manual_pointer << "\n";
+
+  // Manually delete the raw pointer to avoid memory leak
+  delete manual_pointer;
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+manual_pointer now points to 10
+```
+
+This code creates a `unique_ptr` managing an integer with value `10`. Calling `.release()` transfers ownership to `manual_pointer`, and the raw pointer must be manually deleted to prevent a memory leak.
+
+## Codebyte Example
+
+In this codebyte example, `std::unique_ptr` is used to manage a `FILE*`. When there is a need to pass the file pointer to a legacy C-style API that expects a raw `FILE*`, `.release()` is used to transfer ownership safely:
+
+```codebyte/cpp
+#include <iostream>
+#include <memory>
+#include <cstdio>
+
+// A legacy C-style function that expects a raw FILE* and closes it
+void legacyFileHandler(FILE* file) {
+  if (file) {
+    std::cout << "Legacy handler processing file...\n";
+    // Simulate file operations...
+    fclose(file);  // Manually close the file
+    std::cout << "File closed by legacy handler.\n";
+  }
+}
+
+int main() {
+  // Use unique_ptr to manage the FILE* resource with fclose as deleter
+  std::unique_ptr<FILE, decltype(&fclose)> file_ptr(fopen("example.txt", "w"), &fclose);
+
+  if (!file_ptr) {
+    std::cerr << "Failed to open file.\n";
+    return 1;
+  }
+
+  // Release ownership and pass the raw pointer to legacy handler
+  FILE* raw_file = file_ptr.release();
+
+  // Legacy function now owns and closes the file
+  legacyFileHandler(raw_file);
+
+  return 0;
+}
+```

From 3c551f1a6357a5354f93b51ab244ebcd77c08f41 Mon Sep 17 00:00:00 2001
From: jayrosario0904 <jayrosario0904@gmail.com>
Date: Sun, 13 Jul 2025 21:10:54 -0700
Subject: [PATCH 007/332] [Term Entry] C++ Arrays: .cend()

* Create cend term for cpp array function

* Create cend term for cpp array function

* content fixes

* Minor changes

---------
---
 .../cpp/concepts/arrays/terms/cend/cend.md    | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/cpp/concepts/arrays/terms/cend/cend.md

diff --git a/content/cpp/concepts/arrays/terms/cend/cend.md b/content/cpp/concepts/arrays/terms/cend/cend.md
new file mode 100644
index 00000000000..0e8d4a8b5dc
--- /dev/null
+++ b/content/cpp/concepts/arrays/terms/cend/cend.md
@@ -0,0 +1,76 @@
+---
+Title: '.cend()'
+Description: 'Returns a constant iterator pointing just past the last element of an array container.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Iterators'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+**`.cend()`** is a member function of standard C++ containers (such as arrays, [vectors](https://www.codecademy.com/resources/docs/cpp/vectors), and [sets](https://www.codecademy.com/resources/docs/cpp/sets)) that returns a constant iterator pointing just past the last element of the container. The "c" in `.cend()` stands for "const", indicating that the iterator cannot modify the elements it accesses. This function is commonly used for read-only traversal and is typically employed in range checks or `for` loops to define the end boundary of the container.
+
+## Syntax
+
+```pseudo
+array.cend();
+```
+
+**Parameters:**
+
+This function does not take any parameters.
+
+**Return value:**
+
+Returns a constant iterator pointing just past the last element of the container.
+
+## Example: Using `.cend()` to Access the Last Element
+
+This example prints the last element of the array by using `.cend()` and moving one step backward:
+
+```cpp
+#include <iostream>
+#include <array>
+
+int main() {
+  std::array<int, 2> array = {1, 2};
+
+  // Get constant iterator just past the last element
+  auto it = array.cend();
+
+  // Move one step back to point to the last element
+  std::cout << *(std::prev(it)) << "\n";
+
+  return 0;
+}
+```
+
+The output of this code will be:
+
+```shell
+2
+```
+
+## Codebyte Example: Using `.cend()` to Print an Array
+
+This codebyte creates an array and uses `.cbegin()` and `.cend()` to print all of its elements:
+
+```codebyte/cpp
+#include <iostream>
+#include <array>
+
+int main() {
+  std::array<int, 4> array = {1, 2, 3, 4};
+
+  // Prints all elements in the array using const iterators
+  for (auto i = array.cbegin(); i != array.cend(); ++i) {
+    std::cout << *i << " ";
+  }
+
+  return 0;
+}
+```

From fb764cbb71edc78c3ea46bb851da5a09152bb302 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 14 Jul 2025 16:49:11 +0530
Subject: [PATCH 008/332] [Edit] Java Strings: .compareTo() (#7319)

* [Edit] Java Strings: .compareTo()

* minor fixes

---------
---
 .../strings/terms/compareTo/compareTo.md      | 79 ++++++++++++++-----
 1 file changed, 59 insertions(+), 20 deletions(-)

diff --git a/content/java/concepts/strings/terms/compareTo/compareTo.md b/content/java/concepts/strings/terms/compareTo/compareTo.md
index d283f874db6..fbbce3a26a0 100644
--- a/content/java/concepts/strings/terms/compareTo/compareTo.md
+++ b/content/java/concepts/strings/terms/compareTo/compareTo.md
@@ -1,33 +1,41 @@
 ---
 Title: '.compareTo()'
-Description: 'Returns 0 if two strings are equal in Unicode value. Otherwise, the lexicographical difference is returned.'
+Description: 'Compares two strings lexicographically using their Unicode values.'
 Subjects:
   - 'Computer Science'
+  - 'Web Development'
 Tags:
   - 'Characters'
-  - 'Strings'
   - 'Methods'
+  - 'Strings'
+  - 'Values'
 CatalogContent:
   - 'learn-java'
   - 'paths/computer-science'
 ---
 
-The **`.compareTo()`** method compares two strings lexicographically based on the Unicode value of each character in the string.
+The **`.compareTo()`** method is a built-in Java method compares two strings lexicographically by evaluating the Unicode value of each character.
+
+This method is defined in the `java.lang.String` class and implements the `Comparable<String>` interface.
 
 ## Syntax
 
 ```pseudo
-stringA.compareTo(stringB);
+string1.compareTo(string2);
 ```
 
-Both `stringA` and `stringB` are required in order for the `.compareTo()` method to work properly.
+**Parameters:**
 
-A value of `0` will be returned if the strings are equal. Otherwise, the following will happen:
+- `string1`: The string on which `.compareTo()` is called.
+- `string2`: The string to compare with `string1`.
 
-- A number less than `0` is returned if `stringA` is lexicographically less than `stringB`.
-- A number greater than `0` is returned if `stringA` is lexicographically more than `stringB`.
+**Return value:**
 
-A way to think about this lexicographical evaluation is noting the Unicode values for the following character sets:
+- Returns `0` if both strings are equal.
+- Returns a positive number if `string1` is lexicographically greater than `string2`.
+- Returns a negative number if `string1` is lexicographically less than `string2`.
+
+A way to think about this lexicographical evaluation is noting the Unicode values for these character sets:
 
 | Character Set |  Range   | Example                                |
 | :-----------: | :------: | -------------------------------------- |
@@ -35,11 +43,9 @@ A way to think about this lexicographical evaluation is noting the Unicode value
 |   `A` - `Z`   | 65 - 90  | `"A".compareTo("B");` -> 65 - 66 = -1  |
 |   `a` - `z`   | 97 - 122 | `"z".compareTo("w");` -> 122 - 119 = 3 |
 
-**Note:** This method is case-sensitive. The [`.compareToIgnoreCase()`](https://www.codecademy.com/resources/docs/java/strings/compareToIgnoreCase) can be used to ignore upper and lower case differences. Alternatively, the [`.equals()`](https://www.codecademy.com/resources/docs/java/strings/equals) method can used to compare strings without taking Unicode values into account.
-
-## Example 1
+## Example 1: Comparing Equal Strings
 
-Compare `"Codecademy"` to `"Codecademy"`:
+This example uses `.compareTo()` to compare `"Codecademy"` to `"Codecademy"`:
 
 ```java
 class CompareStringsLexicographically {
@@ -48,14 +54,19 @@ class CompareStringsLexicographically {
     String word2 = "Codecademy";
 
     System.out.println(word1.compareTo(word2));
-    // Output: 0
   }
 }
 ```
 
-## Example 2
+Here is the output:
+
+```shell
+0
+```
+
+## Example 2: First String is Lexicographically Less
 
-Compare `"Codecademy"` to `"codecademy"`:
+This example uses `.compareTo()` to compare `"Codecademy"` to `"codecademy"`:
 
 ```java
 class CompareStringsLexicographically {
@@ -64,14 +75,19 @@ class CompareStringsLexicographically {
     String word2 = "codecademy";
 
     System.out.println(word1.compareTo(word2));
-    // Output: -32
   }
 }
 ```
 
-## Example 3
+Here is the output:
+
+```shell
+-32
+```
+
+## Example 3: First String is Lexicographically Greater
 
-Compare `"codecademy"` to `"Codecademy"`:
+This example uses `.compareTo()` to compare `"codecademy"` to `"Codecademy"`:
 
 ```java
 class CompareLexicographically {
@@ -80,7 +96,30 @@ class CompareLexicographically {
     String word2 = "Codecademy";
 
     System.out.println(word1.compareTo(word2));
-    // Output: 32
   }
 }
 ```
+
+Here is the output:
+
+```shell
+32
+```
+
+## Frequently Asked Questions
+
+### 1. Is `.compareTo()` case-sensitive?
+
+Yes, it is. Uppercase letters have lower Unicode values than lowercase letters. For example, `"Apple".compareTo("apple")` returns a negative number.
+
+### 2. How does `.compareToIgnoreCase()` differ?
+
+The `.compareToIgnoreCase()` method compares two strings lexicographically but ignores case differences. For example:
+
+```java
+"Java".compareToIgnoreCase("java") // Output: 0
+```
+
+### 3. Can `.compareTo()` be used for sorting strings?
+
+Yes. You can use `.compareTo()` in sorting algorithms or with data structures like `TreeSet` or `Collections.sort()` to sort strings alphabetically.

From bb2f853deb2a5817629183b55e097c3f5e3f87ee Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 14 Jul 2025 16:57:13 +0530
Subject: [PATCH 009/332] [Edit] Python Lists: .extend() (#7332)

---
 .../concepts/lists/terms/extend/extend.md     | 73 +++++++++++++++----
 1 file changed, 59 insertions(+), 14 deletions(-)

diff --git a/content/python/concepts/lists/terms/extend/extend.md b/content/python/concepts/lists/terms/extend/extend.md
index a5ee6bcbf1e..21e7da4af3e 100644
--- a/content/python/concepts/lists/terms/extend/extend.md
+++ b/content/python/concepts/lists/terms/extend/extend.md
@@ -1,52 +1,97 @@
 ---
 Title: '.extend()'
-Description: 'Adds list elements to end of the list.'
+Description: 'Adds the elements of an iterable (like a list, tuple, or string) to the end of the current list.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Data Science'
 Tags:
   - 'Lists'
   - 'Methods'
+  - 'Values'
+  - 'Variables'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/data-science'
-  - 'paths/computer-science'
 ---
 
-Adds list elements to end of the list.
+In Python, the **`.extend()`** method adds the elements of an [iterable](https://www.codecademy.com/resources/docs/python/iterators) (like a list, [string](https://www.codecademy.com/resources/docs/python/strings), or [tuple](https://www.codecademy.com/resources/docs/python/tuples)) to the end of the current list. Unlike [`.append()`](https://www.codecademy.com/resources/docs/python/lists/append), which adds the entire object as a single element, `.extend()` adds each element individually.
+
+This makes `.extend()` especially useful for combining lists or incorporating multiple values into an existing list.
 
 ## Syntax
 
-```py
+```pseudo
 list.extend(iterable)
 ```
 
-This will place elements passed in an iterable (list, tuple, or string) as new elements at the very end of the list.
+**Parameters:**
 
-`.extend()` does not return any value.
+- `iterable`: An iterable (like a list, tuple, or string) whose elements are to be added to `list`.
 
-## Examples
+**Return value:**
 
-To add `grocery_new` to the end of the `grocery` list:
+The `.extend()` method changes the list in place and returns `None`.
 
-```codebyte/python
+## Example 1: Extending a List with Another List
+
+This example uses `.extend()` to add the items from the `grocery_new` list to the end of the `grocery` list:
+
+```py
 grocery = ['blueberries', 'eggs', 'artichoke']
 grocery_new = ['milk', 'cookies']
 
 grocery.extend(grocery_new)
 
 print(grocery)
-# Output: ['blueberries', 'eggs', 'artichoke', 'milk', 'cookies']
 ```
 
-It works for any other type of iterables:
+Here is the output:
 
-```codebyte/python
+```shell
+['blueberries', 'eggs', 'artichoke', 'milk', 'cookies']
+```
+
+## Example 2: Extending a List with a Tuple
+
+This example uses `.extend()` to add the items from the `targets` tuple to the end of the `to_do_list` list:
+
+```py
 to_do_list = ['respond to email', 'check github']
 targets = (4, 1, 6, 20)
 
 to_do_list.extend(targets)
 
 print(to_do_list)
-# Output: ['respond to email', 'check github', 4, 1, 6, 20]
 ```
+
+Here is the output:
+
+```shell
+['respond to email', 'check github', 4, 1, 6, 20]
+```
+
+## Codebyte Example: Extending a List with a String
+
+This example uses `.extend()` to add the characters of a string to the end of the `letters` list:
+
+```codebyte/python
+letters = ['a', 'b']
+letters.extend('cd')
+
+print(letters)
+```
+
+## Frequently Asked Questions
+
+### 1. What is the difference between `.append()` and `.extend()`?
+
+- `.append()` adds the entire object as a single element.
+- `.extend()` adds elements one by one from the iterable.
+
+### 2. Does `.extend()` return a new list?
+
+No. `.extend()` modifies the list in place and returns `None`.
+
+### 3. What happens if I pass a non-iterable object to `.extend()`?
+
+If you pass a non-iterable object to `.extend()`, you’ll get a `TypeError`.

From 84fac23447ce2a5dc5b0849a45acab70cee4b92b Mon Sep 17 00:00:00 2001
From: Atul Deshpande <159980686+AtulDeshpande09@users.noreply.github.com>
Date: Tue, 15 Jul 2025 09:19:55 +0530
Subject: [PATCH 010/332] [Term Entry] NumPy Random Module: .binomial()

* [Term Entry] NumPy Random Module: .binomial()

* minor fixes

* Update binomial.md

---------
---
 .../random-module/terms/binomial/binomial.md  | 71 +++++++++++++++++++
 1 file changed, 71 insertions(+)
 create mode 100644 content/numpy/concepts/random-module/terms/binomial/binomial.md

diff --git a/content/numpy/concepts/random-module/terms/binomial/binomial.md b/content/numpy/concepts/random-module/terms/binomial/binomial.md
new file mode 100644
index 00000000000..1f41e5912cb
--- /dev/null
+++ b/content/numpy/concepts/random-module/terms/binomial/binomial.md
@@ -0,0 +1,71 @@
+---
+Title: '.binomial()'
+Description: 'Draws random samples from a binomial distribution.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data'
+  - 'Functions'
+  - 'Numpy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In NumPy's `random` module, the **`.binomial()`** method generates random samples from a binomial distribution, representing the number of successes in `n` independent trials, each with a fixed probability `p` of success.
+
+## Syntax
+
+```pseudo
+numpy.random.binomial(n, p, size=None)
+```
+
+**Parameters:**
+
+- `n` (int or array-like of ints): Number of trials (must be non-negative).
+- `p` (float or array-like of floats): Probability of success on each trial (must be between 0 and 1 inclusive).
+- `size` (Optional): The shape of the output array. If `None`, a single value is returned. If given as a tuple, it specifies the shape of the output array.
+
+**Return value:**
+
+The `.binomial()` function returns one or more random integers representing the number of successes across `n` trials with success probability `p`.
+
+- If `size` is `None`, a single integer is returned.
+- If `size` is specified, an array of integers is returned with the given shape.
+
+## Example: Generating Random Binomial Samples in NumPy
+
+This example simulates 10 independent trials, repeated 5 times. Each value in the result represents the number of successes in one set of 10 trials:
+
+```py
+import numpy as np
+
+# Generate 5 random samples from a binomial distribution
+result = np.random.binomial(n=10, p=0.5, size=5)
+
+print(result)
+```
+
+A possible output of this code could be:
+
+```shell
+[3 5 4 5 4]
+```
+
+> **Note:** The output will vary with each execution since it is randomly sampled.
+
+## Codebyte Example
+
+In this codebyte example, a single random value is generated from a binomial distribution with 15 trials and a 60% chance of success:
+
+```codebyte/python
+import numpy as np
+# Define number of trials and probability
+n = 15
+p = 0.6
+# Generate one random sample
+sample = np.random.binomial(n, p)
+print(sample)
+```

From 3459c88c7aece350ef3d3b6cf5b34fb841546eb3 Mon Sep 17 00:00:00 2001
From: Atul Deshpande <159980686+AtulDeshpande09@users.noreply.github.com>
Date: Tue, 15 Jul 2025 09:25:22 +0530
Subject: [PATCH 011/332] [Term Entry] PyTorch Tensor Operations: .deg2rad()

* [Term Entry] PyTorch Tensor Operations: .deg2rad()

* minor fixes

* Update deg2rad.md

---------
---
 .../terms/deg2rad/deg2rad.md                  | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/deg2rad/deg2rad.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/deg2rad/deg2rad.md b/content/pytorch/concepts/tensor-operations/terms/deg2rad/deg2rad.md
new file mode 100644
index 00000000000..0a903869186
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/deg2rad/deg2rad.md
@@ -0,0 +1,55 @@
+---
+Title: '.deg2rad()'
+Description: 'Converts angles from degrees to radians.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.deg2rad()`** function converts angles from degrees to radians. This is especially useful when using trigonometric functions like `torch.sin()` or `torch.cos()`, which require input in radians.
+
+## Syntax
+
+```pseudo
+torch.deg2rad(input, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) containing angles in degrees.
+- `out` (optional): The output tensor to store the result. If provided, the result is written to this tensor in-place.
+
+**Return value:**
+
+A tensor with the same shape as `input`, where each element is converted from degrees to radians. If `out` is specified, the returned tensor is the same as `out`.
+
+## Example
+
+This example demonstrates the usage of the `.deg2rad()` function:
+
+```py
+import torch
+
+# Define a tensor with angles in degrees
+degrees = torch.tensor([0.0, 90.0, 180.0, 270.0])
+
+# Convert to radians
+radians = torch.deg2rad(degrees)
+
+# Print the result
+print(radians)
+```
+
+Here is the output:
+
+```shell
+tensor([0.0000, 1.5708, 3.1416, 4.7124])
+```

From a34e7591cab501254cfdeef2e59439241258cc87 Mon Sep 17 00:00:00 2001
From: Atul Deshpande <159980686+AtulDeshpande09@users.noreply.github.com>
Date: Tue, 15 Jul 2025 09:33:30 +0530
Subject: [PATCH 012/332] [Term Entry] PyTorch Tensor Operations: .exp()

* [Term Entry] PyTorch Tensor Operations: .exp()

* minor fixes

* Update exp.md

* Update exp.md

---------
---
 .../tensor-operations/terms/exp/exp.md        | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/exp/exp.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/exp/exp.md b/content/pytorch/concepts/tensor-operations/terms/exp/exp.md
new file mode 100644
index 00000000000..7cc9c144fba
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/exp/exp.md
@@ -0,0 +1,55 @@
+---
+Title: '.exp()'
+Description: 'Returns a new tensor with the exponential of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.exp()`** function computes the exponential of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). This is mathematically equivalent to applying the function $y_i = e^{x_i}$ element-wise, where `e` is Euler's number (approximately 2.71828).
+
+## Syntax
+
+```pseudo
+torch.exp(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor containing elements for which the exponential will be computed.
+- `out` (optional): A tensor to store the output. If provided, the result is written to this tensor.
+
+**Return value:**
+
+Returns a new tensor where each element is the exponential of the corresponding element within the input tensor.
+
+## Example
+
+In this example, we compute the element-wise exponential of a tensor using `torch.exp()`:
+
+```py
+import torch
+import math
+
+# Define a tensor
+x = torch.tensor([0.0 , 1.0 , 2.0 , math.log(2.) ])
+
+# Compute the exponential
+result = torch.exp(x)
+
+print(result)
+```
+
+Here is the output:
+
+```shell
+tensor([1.0000 , 2.7183, 7.3891 , 2. ])
+```

From f09a7ca272b9bbb45fe07ae3d33a28b73fb02a52 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Tue, 15 Jul 2025 20:12:12 +0530
Subject: [PATCH 013/332] [Edit] C++: Stacks (#7330)

* [Edit] C++: Stacks

* minor content fixes

---------
---
 content/cpp/concepts/stacks/stacks.md | 216 +++++++++++++++++++++++++-
 1 file changed, 209 insertions(+), 7 deletions(-)

diff --git a/content/cpp/concepts/stacks/stacks.md b/content/cpp/concepts/stacks/stacks.md
index 070672c57f9..62bd1c23395 100644
--- a/content/cpp/concepts/stacks/stacks.md
+++ b/content/cpp/concepts/stacks/stacks.md
@@ -1,26 +1,228 @@
 ---
 Title: 'Stacks'
-Description: 'A stack is a container that stores elements in a last-in first-out (LIFO) order.'
+Description: 'A stack is a linear data structure that stores elements in a last-in-first-out (LIFO) order.'
 Subjects:
   - 'Computer Science'
   - 'Game Development'
 Tags:
-  - 'Data Types'
   - 'Collections'
+  - 'Data Structures'
+  - 'Data Types'
   - 'Stacks'
 CatalogContent:
   - 'learn-c-plus-plus'
   - 'paths/computer-science'
 ---
 
-A **`stack`** is a container that stores elements in a last-in first-out (LIFO) order. They are implemented as a container adaptor, a class that uses another container class as its underlying container. The underlying container class can be a `vector`, `deque`, or a `list`. If none is specified when creating a `stack` instance, the default `deque` is used.
+In C++, a **stack** is a useful data structure that stores elements in a last-in-first-out (LIFO) order. This means the last element added to the stack is the first one to be removed.
+
+Stacks are implemented as a container adaptor, a [class](https://www.codecademy.com/resources/docs/cpp/classes) that uses another container class as its underlying container. The underlying container class can be a [`vector`](https://www.codecademy.com/resources/docs/cpp/vectors), [`deque`](https://www.codecademy.com/resources/docs/cpp/deque), or [`list`](https://www.codecademy.com/resources/docs/cpp/list).
 
-## Syntax
+## Creating a Stack
+
+To create a stack in C++, the `<stack>` header and the `std` namespace need to be included:
 
 ```pseudo
-std::stack<dataType> stackName;
+#include <stack>
+using namespace std;
+
+stack<dataType> stackName;
+```
+
+In the syntax:
+
+- `dataType`: The data type of the elements to be stored in the stack.
+- `stackName`: The name of the stack.
+
+For example:
+
+```cpp
+#include <stack>
+using namespace std;
+
+// Create a stack of integers
+stack<int> myStack;
+```
+
+## Adding Elements to a Stack
+
+The `.push()` method can be used to append an element to the top of a stack:
+
+```cpp
+#include <iostream>
+#include <stack>
+using namespace std;
+
+int main() {
+  // Create a stack of integers
+  stack<int> myStack;
+
+  // Add elements to the stack
+  myStack.push(10);
+  myStack.push(20);
+  myStack.push(30);
+
+  // Print the elements of the stack
+  while(!myStack.empty()) {
+    cout << myStack.top() << "\n";
+
+    myStack.pop();
+  }
+
+  return 0;
+}
+```
+
+Here is the output:
+
+```shell
+30
+20
+10
+```
+
+## Accessing Elements in a Stack
+
+The `.top()` method can be used to access the top element of a stack:
+
+```cpp
+#include <iostream>
+#include <stack>
+using namespace std;
+
+int main() {
+  // Create a stack of integers
+  stack<int> myStack;
+
+  // Add elements to the stack
+  myStack.push(10);
+  myStack.push(20);
+  myStack.push(30);
+
+  // Print the top element of the stack
+  cout << myStack.top() << "\n";
+
+  return 0;
+}
+```
+
+Here is the output:
+
+```shell
+30
+```
+
+## Removing Elements from a Stack
 
-std::stack<dataType, containerType<dataType>> stackName;
+The `.pop()` method can be used to delete or remove an element from the top of a stack:
+
+```cpp
+#include <iostream>
+#include <stack>
+using namespace std;
+
+int main() {
+  // Create a stack of integers
+  stack<int> myStack;
+
+  // Add elements to the stack
+  myStack.push(10);
+  myStack.push(20);
+  myStack.push(30);
+
+  // Remove the top element of the stack
+  myStack.pop();
+
+  // Print the elements of the stack
+  while(!myStack.empty()) {
+    cout << myStack.top() << "\n";
+
+    myStack.pop();
+  }
+
+  return 0;
+}
+```
+
+Here is the output:
+
+```shell
+20
+10
+```
+
+## Getting the Size of a Stack
+
+The `.size()` method can be used to get the size of a stack:
+
+```cpp
+#include <iostream>
+#include <stack>
+using namespace std;
+
+int main() {
+  // Create a stack of integers
+  stack<int> myStack;
+
+  // Add elements to the stack
+  myStack.push(10);
+  myStack.push(20);
+  myStack.push(30);
+
+  // Get the size of the stack
+  cout << myStack.size() << "\n";
+
+  return 0;
+}
 ```
 
-A `stack` requires a [`dataType`](https://www.codecademy.com/resources/docs/cpp/data-types) to be specified. A `containerType` can be specified, but it must be the same data type. If a container type is not specified, the default `deque<dataType>` is used.
+Here is the output:
+
+```shell
+3
+```
+
+## Checking if a Stack is Empty
+
+The `.empty()` method is used for checking if a stack is empty. If it is, the method returns `1`. Otherwise, it returns `0`:
+
+```codebyte/cpp
+#include <iostream>
+#include <stack>
+using namespace std;
+
+int main() {
+  // Create a stack of integers
+  stack<int> myStack;
+
+  // Add elements to the stack
+  myStack.push(10);
+  myStack.push(20);
+  myStack.push(30);
+
+  // Check if the stack is empty
+  cout << myStack.empty() << "\n";
+
+  return 0;
+}
+```
+
+## Frequently Asked Questions
+
+### 1. What is the time complexity of stack operations in C++?
+
+All major stack operations—`.push()`, `.top()`, `.pop()`, `.size()`, and `.empty()`—have constant time complexity _O(1)_.
+
+### 2. Is `std::stack` thread-safe?
+
+No, `std::stack` is not thread-safe. You must use synchronization (like `mutex`) in multithreaded applications.
+
+### 3. When should I use a stack in C++?
+
+Stacks are ideal for:
+
+- Reversing data
+- Undo features
+- Expression evaluation
+- Depth-first search (DFS)
+- Function call tracking (Recursion)

From 7fe49307732122d25d644226dececbfeb0ad7744 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 15 Jul 2025 22:13:55 +0530
Subject: [PATCH 014/332] [Edit]: Python `isalnum()` (#7203)

* [Edit]: Python `isalnum()`

* Update content/python/concepts/strings/terms/isalnum/isalnum.md

* Update content/python/concepts/strings/terms/isalnum/isalnum.md

* Update content/python/concepts/strings/terms/isalnum/isalnum.md

* Update content/python/concepts/strings/terms/isalnum/isalnum.md

* Update content/python/concepts/strings/terms/isalnum/isalnum.md

* Update content/python/concepts/strings/terms/isalnum/isalnum.md

---------
---
 .../concepts/strings/terms/isalnum/isalnum.md | 161 +++++++++++++++---
 1 file changed, 142 insertions(+), 19 deletions(-)

diff --git a/content/python/concepts/strings/terms/isalnum/isalnum.md b/content/python/concepts/strings/terms/isalnum/isalnum.md
index 17cafcfe2d2..d331da264c4 100644
--- a/content/python/concepts/strings/terms/isalnum/isalnum.md
+++ b/content/python/concepts/strings/terms/isalnum/isalnum.md
@@ -1,51 +1,174 @@
 ---
 Title: '.isalnum()'
-Description: 'Returns True if all the characters in a given string are alphanumeric.'
+Description: 'Returns True if all characters in a string are alphanumeric (letters and numbers).'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
   - 'Strings'
   - 'Methods'
-  - 'Functions'
+  - 'Validation'
+  - 'Booleans'
 CatalogContent:
   - 'learn-python-3'
-  - 'paths/analyze-data-with-python'
+  - 'paths/computer-science'
 ---
 
-The **`.isalnum()`** string method takes in a string and returns `True` if all the characters are alphanumeric (`A-Z`, `a-z`, `0-9`). Otherwise, it returns `False` if the string contains any non-alphanumeric characters (e.g. `@ # $ % - *`).
+The **`.isalnum()`** method is a built-in [string](https://www.codecademy.com/resources/docs/python/strings) method in Python that checks whether all characters in a string are alphanumeric. This method returns `True` if every character in the string is either a letter (a-z, A-Z) or a digit (0-9), and the string contains at least one character. If any character is not alphanumeric or if the string is empty, the method returns `False`.
+
+The `.isalnum()` method is commonly used in data validation scenarios, such as checking usernames, passwords, or any input that should only contain letters and numbers. It's particularly useful in form validation, data cleaning operations, and when processing user inputs, where special characters need to be filtered out.
 
 ## Syntax
 
 ```pseudo
-my_string.isalnum()
+string.isalnum()
 ```
 
-This method does not have any parameters.
+**Parameters:**
+
+- This method does not accept any parameters.
+
+**Return value:**
 
-## Example
+- Returns `True` if all characters in the string are alphanumeric (letters and digits)
+- Returns `False` if the string is empty or contains at least one non-alphanumeric character
 
-The examples below use `.isalnum()` to check if all the characters are alphanumeric:
+## Example 1: Basic String Validation
+
+The following example demonstrates the fundamental usage of `.isalnum()` to check if a string contains only letters and numbers:
 
 ```py
-my_string = "AlphaNumeric001"
-print(my_string.isalnum())
+# Check different types of strings
+text1 = "Python123"  # Contains letters and numbers
+text2 = "HelloWorld"  # Contains only letters
+text3 = "123456"      # Contains only numbers
+
+# Test each string
+print(f"'{text1}' is alphanumeric: {text1.isalnum()}")
+print(f"'{text2}' is alphanumeric: {text2.isalnum()}")
+print(f"'{text3}' is alphanumeric: {text3.isalnum()}")
+
+# Test strings with special characters
+invalid_text = "Python 123"  # Contains space
+print(f"'{invalid_text}' is alphanumeric: {invalid_text.isalnum()}")
 ```
 
-The code above will result in the following output:
+The output generated by this code is:
 
 ```shell
-True
+'Python123' is alphanumeric: True
+'HelloWorld' is alphanumeric: True
+'123456' is alphanumeric: True
+'Python 123' is alphanumeric: False
 ```
 
-## Codebyte Example
+This example shows how `.isalnum()` returns `True` for strings containing only letters, only numbers, or a combination of both, but returns `False` when spaces or special characters are present.
+
+## Example 2: Username Validation System
+
+The following example demonstrates a practical real-world application of `.isalnum()` for validating user input in a registration system:
+
+```py
+def validate_username(username):
+  """
+  Validate username using isalnum() method
+  Username should only contain letters and numbers
+  """
+  if not username:  # Check if empty
+    return "Username cannot be empty"
+  elif len(username) < 3:
+    return "Username must be at least 3 characters long"
+  elif len(username) > 20:
+    return "Username must be no more than 20 characters long"
+  elif not username.isalnum():
+    return "Username can only contain letters and numbers"
+  else:
+    return "Valid username"
+
+# Test different usernames
+usernames = ["John123", "user_name", "test@gmail", "Python", "ab", "validuser2024"]
+
+print("Username Validation Results:")
+print("-" * 40)
+for username in usernames:
+  result = validate_username(username)
+  print(f"'{username}': {result}")
+```
+
+The output generated by this code is:
+
+```shell
+Username Validation Results:
+----------------------------------------
+'John123': Valid username
+'user_name': Username can only contain letters and numbers
+'test@gmail': Username can only contain letters and numbers
+'Python': Valid username
+'ab': Username must be at least 3 characters long
+'validuser2024': Valid username
+```
 
-The code below is runnable and uses the `.isalnum()` method:
+This example shows how `.isalnum()` can be integrated into a comprehensive validation function to ensure usernames meet specific criteria for web applications or user registration systems.
+
+## Codebyte Example: Data Cleaning and Filtering
+
+The following example demonstrates using `.isalnum()` for data processing tasks, such as filtering valid product codes from a dataset:
 
 ```codebyte/python
-my_string_1 = "string2023"
-print(my_string_1.isalnum())
+def filter_product_codes(code_list):
+  """
+  Filter and categorize product codes based on alphanumeric validation
+  Valid codes should only contain letters and numbers
+  """
+  valid_codes = []
+  invalid_codes = []
+
+  for code in code_list:
+    if code.isalnum():
+      valid_codes.append(code)
+    else:
+      invalid_codes.append(code)
+
+  return valid_codes, invalid_codes
+
+def generate_report(valid_codes, invalid_codes):
+  """Generate a summary report of the filtering process"""
+  print("Product Code Validation Report")
+  print("=" * 35)
+  print(f"Total codes processed: {len(valid_codes) + len(invalid_codes)}")
+  print(f"Valid codes: {len(valid_codes)}")
+  print(f"Invalid codes: {len(invalid_codes)}")
+
+  if valid_codes:
+    print(f"\nValid product codes: {', '.join(valid_codes)}")
+
+  if invalid_codes:
+    print(f"\nInvalid product codes: {', '.join(invalid_codes)}")
+
+# Sample product codes from different sources
+product_codes = [
+  "ABC123", "XYZ789", "PROD-001", "TEST_CODE",
+  "VALID456", "CODE@123", "ITEM#789", "SIMPLE1",
+  "PRODUCT.CODE", "ALPHA999"
+]
 
-my_string_2 = "@lpha"
-print(my_string_2.isalnum())
+# Process the codes
+valid, invalid = filter_product_codes(product_codes)
+generate_report(valid, invalid)
 ```
+
+This example illustrates how `.isalnum()` can be used in data processing workflows to clean and validate data, making it particularly useful for ETL operations or data quality checks.
+
+## Frequently Asked Questions
+
+### 1. Does `.isalnum()` return `True` for an empty string?
+
+No, `.isalnum()` returns `False` for empty strings. The string must contain at least one character, and all characters must be alphanumeric.
+
+### 2. Does `.isalnum()` work with Unicode characters?
+
+Yes, `.isalnum()` works with Unicode letters and digits, not just ASCII characters.
+
+### 3. What's the difference between `.isalnum()` and `.isalpha()` or `.isdigit()`?
+
+`.isalpha()` checks if all characters are letters only, `.isdigit()` checks if all characters are digits only, while `.isalnum()` checks if all characters are either letters or digits (or a combination of both).

From 555f1cc525d2b09079bf9a17d30c1459ed999026 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 15 Jul 2025 22:37:14 +0530
Subject: [PATCH 015/332] [Edit]: Python `getattr()` (#7206)

* [Edit]: Python `getattr()`

* Update content/python/concepts/built-in-functions/terms/getattr/getattr.md

* Update content/python/concepts/built-in-functions/terms/getattr/getattr.md

* Update content/python/concepts/built-in-functions/terms/getattr/getattr.md

* Update content/python/concepts/built-in-functions/terms/getattr/getattr.md

---------
---
 .../terms/getattr/getattr.md                  | 174 ++++++++++++------
 1 file changed, 116 insertions(+), 58 deletions(-)

diff --git a/content/python/concepts/built-in-functions/terms/getattr/getattr.md b/content/python/concepts/built-in-functions/terms/getattr/getattr.md
index 02f5398e8f0..baf50a97c62 100644
--- a/content/python/concepts/built-in-functions/terms/getattr/getattr.md
+++ b/content/python/concepts/built-in-functions/terms/getattr/getattr.md
@@ -1,105 +1,163 @@
 ---
 Title: 'getattr()'
-Description: 'Returns the value of the named property in the specified object.'
+Description: 'Returns the value of a named attribute from an object.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
 Tags:
+  - 'Attributes'
   - 'Functions'
-  - 'Methods'
   - 'Objects'
-  - 'Classes'
-  - 'OOP'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-The built-in **getattr()** function returns the value of the named property in a specified object/[Class](https://github.com/Codecademy/docs/blob/main/content/python/concepts/classes/classes.md).
+The **`getattr()`** function is a [built-in](https://www.codecademy.com/resources/docs/python/built-in-functions) Python function that returns the value of a named attribute from an object. It provides a dynamic way to access object attributes using their [string](https://www.codecademy.com/resources/docs/python/strings) names rather than dot notation. This function is particularly useful when the attribute name is stored in a variable or determined at runtime.
+
+The `getattr()` function serves as a safe alternative to direct attribute access, allowing developers to specify a default value when an attribute doesn't exist. This makes it invaluable for creating flexible code that can handle objects with varying attributes, implementing configuration systems, and building dynamic applications where attribute names may not be known in advance.
 
 ## Syntax
 
-```shell
+```pseudo
 getattr(object, name, default)
 ```
 
-The `getattr()` method takes at least 2 parameters:
+**Parameters:**
+
+- `object`: The object whose attribute needs to be accessed
+- `name`: A string containing the name of the attribute to retrieve
+- `default` (optional): The value to return if the specified attribute is not found
+
+**Return value:**
 
-- `object`, the given object
-- `name`, a string with the name of the attribute
-- `default`, (optional) a value to be returned when the named attribute does not exist
+The value of the specified attribute if it exists, the default value if the attribute doesn't exist and a default is provided, or raises an `AttributeError` if the attribute doesn't exist and no default is specified.
 
-## Examples
+## Example 1: Basic Attribute Access
 
-### Example 1
+The following example demonstrates the fundamental usage of `getattr()` to access object attributes dynamically:
 
 ```py
-class Cat:
-    hobby = 'sleeping'
-    age = 2
+class Student:
+  def __init__(self, name, age, grade):
+    self.name = name
+    self.age = age
+    self.grade = grade
 
-pet = Cat()
-attr = getattr(pet, 'age')
-print("My cat is", attr, "years old.")
+# Create a student object
+student = Student("Alice", 20, "A")
+
+# Access attributes using getattr()
+student_name = getattr(student, "name")
+student_age = getattr(student, "age")
+
+print(f"Student name: {student_name}")
+print(f"Student age: {student_age}")
 ```
 
-This code will return:
+This example results in the following output:
 
 ```shell
-My cat is 2 years old.
+Student name: Alice
+Student age: 20
 ```
 
-### Example 2
+## Example 2: Configuration Management System
 
-```py
-class Cat:
-    hobby = 'sleeping'
-    age = 2
+The following example shows how `getattr()` can be used in a real-world scenario for managing application configurations with default values:
 
-pet = Cat()
-attr = getattr(pet, 'love')
-print("My cat's favourite food is", attr)
+```py
+class AppConfig:
+  def __init__(self):
+    self.database_url = "localhost:5432"
+    self.debug_mode = True
+    self.cache_timeout = 300
+
+def get_config_value(config, setting_name, default_value=None):
+  """Safely retrieve configuration values with fallback defaults"""
+  return getattr(config, setting_name, default_value)
+
+# Create configuration object
+config = AppConfig()
+
+# Retrieve existing and non-existing configuration values
+db_url = get_config_value(config, "database_url", "default.db")
+api_key = get_config_value(config, "api_key", "not_configured")
+max_connections = get_config_value(config, "max_connections", 100)
+
+print(f"Database URL: {db_url}")
+print(f"API Key: {api_key}")
+print(f"Max Connections: {max_connections}")
 ```
 
-This code will output an error, this because the `Cat` object does not have an attribute named `love`, and we did not set `default` parameter:
+This example results in the following output:
 
 ```shell
-Traceback (most recent call last):
-  File "main.py", line 6, in <module>
-    attr = getattr(pet, 'love')
-AttributeError: 'Cat' object has no attribute 'love'
+Database URL: localhost:5432
+API Key: not_configured
+Max Connections: 100
 ```
 
-### Example 3
+## Codebyte Example: Dynamic Method Execution
 
-```py
-class Cat:
-    hobby = 'sleeping'
-    age = 2
+This example illustrates using `getattr()` to dynamically call methods based on user input or runtime conditions:
 
-pet = Cat()
-attr = getattr(pet, 'love', 'tuna')
-print("My cat's favourite food is", attr)
-```
+```codebyte/python
+class Calculator:
+  def add(self, x, y):
+    return x + y
 
-This code will return:
+  def subtract(self, x, y):
+    return x - y
 
-```shell
-My cat's favourite food is tuna
-```
+  def multiply(self, x, y):
+    return x * y
 
-## Codebyte Example
+  def divide(self, x, y):
+    if y != 0:
+      return x / y
+    return "Cannot divide by zero"
 
-Use `getattr()` to get the value of the named property in a specified object/class:
+def execute_operation(calculator, operation_name, x, y):
+  """Execute mathematical operation based on operation name"""
+  # Get the method using getattr with a default fallback
+  operation_method = getattr(calculator, operation_name, None)
 
-```codebyte/python
-class Cat:
-    hobby = 'sleeping'
-    age = 2
-
-pet = Cat()
-attr_1= getattr(pet, 'hobby')
-attr_2 = getattr(pet, 'love', 'tuna')
-print("My cat's hobby is", attr_1)
-print("My cat's favourite food is", attr_2)
+  if operation_method and callable(operation_method):
+    return operation_method(x, y)
+  else:
+    return f"Operation '{operation_name}' not supported"
+
+# Create calculator instance
+calc = Calculator()
+
+# Execute different operations dynamically
+operations = ["add", "multiply", "modulo"]
+x, y = 10, 3
+
+for op in operations:
+  result = execute_operation(calc, op, x, y)
+  print(f"{x} {op} {y} = {result}")
 ```
+
+## Frequently Asked Questions
+
+### 1. What happens if I don't provide a default value and the attribute doesn't exist?
+
+Python will raise an `AttributeError` exception. Always use a default value or handle the exception appropriately.
+
+### 2. Can I use `getattr()` to access private attributes?
+
+Yes, `getattr()` can access private attributes (those starting with underscore), but this goes against Python conventions and should be avoided.
+
+### 3. Is `getattr()` slower than direct attribute access?
+
+Yes, `getattr()` has slightly more overhead than direct dot notation access, but most applications' performance difference is typically negligible.
+
+### 4. Can I use `getattr()` with methods?
+
+Yes, `getattr()` returns method objects that can be called. Always check if the returned object is callable using `callable()` before invoking it.
+
+### 5. What's the difference between `getattr()` and `hasattr()`?
+
+`hasattr()` checks if an attribute exists and returns `True` or `False`, while `getattr()` retrieves the actual value of the attribute.

From e64c351e983a4d301c57c341e0bbd3e41e3f9d2c Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Wed, 16 Jul 2025 11:09:36 +0530
Subject: [PATCH 016/332] [Edit] Python Strings: .splitlines() (#7342)

* [Edit] Python Strings: .splitlines()

* minor content tweaks

---------
---
 .../strings/terms/splitlines/splitlines.md    | 100 +++++++++++-------
 1 file changed, 61 insertions(+), 39 deletions(-)

diff --git a/content/python/concepts/strings/terms/splitlines/splitlines.md b/content/python/concepts/strings/terms/splitlines/splitlines.md
index dfbba337dd2..706f8e58456 100644
--- a/content/python/concepts/strings/terms/splitlines/splitlines.md
+++ b/content/python/concepts/strings/terms/splitlines/splitlines.md
@@ -1,21 +1,20 @@
 ---
 Title: '.splitlines()'
-Description: 'Used to split a multi-line string into a list of lines.'
+Description: 'Splits a string into a list of lines'
 Subjects:
   - 'Data Science'
   - 'Web Development'
 Tags:
-  - 'Strings'
-  - 'Methods'
   - 'Formatting'
   - 'Lists'
-  - 'Functions'
+  - 'Methods'
+  - 'Strings'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/analyze-data-with-python'
 ---
 
-**`.splitlines()`** is a built-in string method in Python that is used to split a multi-line string into a list of lines. It recognizes different newline characters such as `\n`, `\r`, or `\r\n` and splits the string at those points. The method returns a list of strings, each corresponding to a line in the original multi-line string.
+**`.splitlines()`** is a built-in [string](https://www.codecademy.com/resources/docs/python/strings) method in Python method in Python that splits a multi-line string into a list of lines. It recognizes different newline characters such as `\n`, `\r`, or `\r\n` and splits the string at those points. The method returns a list of strings, each corresponding to a line in the original multi-line string.
 
 ## Syntax
 
@@ -23,36 +22,18 @@ CatalogContent:
 string.splitlines(keepends=False)
 ```
 
-- `string`: This is the string on which to apply the `.splitlines()` method.
-- `keepends` (optional): This is a boolean parameter. If `True`, the line break characters are included in the resulting lines. If `False` (the default), the line break characters are excluded.
-
-## Examples
-
-In this example, `.splitlines(keepends=True)` is used to include the line break characters in the resulting lines.
-
-```py
-multi_line_string = "This is line 1.\nThis is line 2.\nThis is line 3."
-
-lines_with_breaks = multi_line_string.splitlines(keepends=True)
-
-print(lines_with_breaks)
+**Parameters:**
 
-for line in lines_with_breaks:
-  print(line)
-```
+- `string`: This is the string on which to apply the `.splitlines()` method.
+- `keepends` (Optional): This is a Boolean parameter. If `True`, the line break characters are included in the resulting lines. If `False` (default), the line break characters are excluded.
 
-This results in the following output:
+**Return value:**
 
-```shell
-['This is line 1.\n', 'This is line 2.\n', 'This is line 3.']
-This is line 1.
+The `.splitlines()` method returns a list of strings, each corresponding to a line in the original multi-line string.
 
-This is line 2.
+## Example 1: Basic Usage of `.splitlines()`
 
-This is line 3.
-```
-
-In next example, `.splitlines()` is applied to a custom multi-line string with various line break characters (`\n`, `\r\n`, and `\r`).
+In this example, `.splitlines()` is applied to a custom multi-line string with various line break characters (`\n`, `\r\n`, and `\r`):
 
 ```py
 custom_multi_line_string = "Line A\nLine B\r\nLine C\rLine D"
@@ -65,7 +46,7 @@ for line in custom_lines:
   print(line)
 ```
 
-This results in the following output:
+The output of this code is:
 
 ```shell
 ['Line A', 'Line B', 'Line C', 'Line D']
@@ -75,19 +56,60 @@ Line C
 Line D
 ```
 
-## Codebyte Example
+## Example 2: Working with File Input
 
-The code below is runnable and uses `.splitlines()` to split `multi_line_string`:
+This example demonstrates how `.splitlines()` helps when reading entire [file](https://www.codecademy.com/resources/docs/python/files) content as a string and needing to process it line by line:
 
-```codebyte/python
-multi_line_string = """This is line 1.
-This is line 2.
-This is line 3."""
+```py
+with open("example.txt", "r") as file:
+  content = file.read()
 
-lines = multi_line_string.splitlines()
+lines = content.splitlines()
 
 print(lines)
+```
 
-for line in lines:
+The output of this code is (assuming file content is multi-line):
+
+```shell
+['This is line 1', 'This is line 2', 'This is line 3']
+```
+
+## Codebyte Example: Keeping Line Endings
+
+In this codebyte example, `.splitlines(keepends=True)` is used to include the line break characters in the resulting lines:
+
+```py
+multi_line_string = "This is line 1.\nThis is line 2.\nThis is line 3."
+
+lines_with_breaks = multi_line_string.splitlines(keepends=True)
+
+print(lines_with_breaks)
+
+for line in lines_with_breaks:
   print(line)
 ```
+
+## Frequently Asked Questions
+
+### 1. How is `.splitlines()` different from `.split('\n')`?
+
+`.split('\n')` only handles `\n` as a newline, while `.splitlines()` handles all common line breaks (`\n`, `\r`, `\r\n`). This makes it more robust for cross-platform text handling.
+
+### 2. Can `.splitlines()` be used on an empty string?
+
+Yes. In that case, `.splitlines()` returns an empty list:
+
+```py
+print("".splitlines()) # Output: []
+```
+
+### 3. What happens if there are trailing newlines while using `.splitlines()`?
+
+Trailing newlines create extra empty strings only if `keepends=True` in `.splitlines()`:
+
+```py
+print("text\n".splitlines()) # Output: ['text']
+
+print("text\n".splitlines(True)) # Output: ['text\n']
+```

From 11795ea8d1835b1c8e6f9dcd7bbe88a1afc6240e Mon Sep 17 00:00:00 2001
From: Plat <106413440+SnailCodeX@users.noreply.github.com>
Date: Fri, 18 Jul 2025 15:33:02 +0100
Subject: [PATCH 017/332] [Term Entry] NumPy Random Module: .power()

* New Term Entry: NumPy Random Module: .power()

* minor content fixes

* Minor changes

---------
---
 .../random-module/terms/power/power.md        | 93 +++++++++++++++++++
 1 file changed, 93 insertions(+)
 create mode 100644 content/numpy/concepts/random-module/terms/power/power.md

diff --git a/content/numpy/concepts/random-module/terms/power/power.md b/content/numpy/concepts/random-module/terms/power/power.md
new file mode 100644
index 00000000000..d5375cd9de9
--- /dev/null
+++ b/content/numpy/concepts/random-module/terms/power/power.md
@@ -0,0 +1,93 @@
+---
+Title: '.power()'
+Description: 'Returns a NumPy array of random samples drawn from the power distribution.'
+Subjects:
+  - 'AI'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Functions'
+  - 'Math'
+  - 'Numpy'
+CatalogContent:
+  - 'learn-python'
+  - 'paths/data-science'
+---
+
+The **`.power()`** function, also known as the _power function distribution_, is part of the NumPy `random` module. It draws samples from a power distribution with positive exponent `a - 1` in the range `[0, 1]`. This function is often used in statistical simulations, hypothesis testing, and generating synthetic data for machine learning.
+
+## Syntax
+
+```pseudo
+random.power(a, size=None)
+```
+
+**Parameters:**
+
+- `a` (float or array_like of floats): The shape parameter of the distribution. It must be positive.
+- `size` (int or tuple of ints, optional): Specifies the output shape. If specified as `(m, n, k)`, then `m * n * k` samples are drawn. If `None` (default), a single value is returned if `a` is a scalar. Otherwise, `np.array(a).size` samples are drawn.
+
+**Return value:**
+
+An [`ndarray`](https://www.codecademy.com/resources/docs/numpy/ndarray) of random floats drawn from a power distribution over the interval `[0, 1)`, with shape determined by `size`.
+
+## Example 1: Drawing a Single Value (`size=None`)
+
+When `size=None` (default), `np.random.power(a)` returns a single float from the power distribution over the range `[0, 1)`:
+
+```py
+import numpy as np
+
+# Single sample with shape parameter a = 2
+print(np.random.power(2))
+
+# Single sample with a = 7
+print(np.random.power(7))
+```
+
+A possible output of this code is:
+
+```shell
+0.3279803284599577
+0.9487782510180921
+```
+
+When no size is specified, a single float is returned.
+
+## Example 2: Drawing Multiple Values Using an Integer `size`
+
+When `size` is an integer, it specifies how many random values to draw from the power distribution:
+
+```py
+import numpy as np
+
+# 3 values with a = 2
+print(np.random.power(2, 3))
+
+# 10 values with a = 10
+print(np.random.power(10, 10))
+
+# 3 values with a very large shape parameter
+print(np.random.power(1000, 3))
+```
+
+The possible output of this code is:
+
+```shell
+[0.71399645 0.67523938 0.59913375]
+[0.89043235 0.94651471 0.74650338 0.97812045 0.73832165 0.98408732
+ 0.94639479 0.89403161 0.95649183 0.91259268]
+[0.99993867 0.99989337 0.99973659]
+```
+
+## Codebyte Example
+
+This codebyte example generates multi-dimensional arrays by passing a [tuple](https://www.codecademy.com/resources/docs/python/tuples) as the `size` argument:
+
+```codebyte/python
+import numpy as np
+
+# Generate a 5x5 matrix of power-distributed values with a large shape parameter
+samples = np.random.power(1000, (5, 5))
+print(samples)
+```

From 6501dc9f7754811b1bebdaeff5ee64ce60afbbab Mon Sep 17 00:00:00 2001
From: Trent M <trent.moore.prog@gmail.com>
Date: Fri, 18 Jul 2025 08:47:50 -0600
Subject: [PATCH 018/332] [Term Entry] NumPy Random Module: .poisson()

* Add metadata for numpy.random.poisson

* Finish writing term entry for numpy.random.poisson

* content fixes

* Minor changes

---------
---
 .../random-module/terms/poisson/poisson.md    | 99 +++++++++++++++++++
 1 file changed, 99 insertions(+)
 create mode 100644 content/numpy/concepts/random-module/terms/poisson/poisson.md

diff --git a/content/numpy/concepts/random-module/terms/poisson/poisson.md b/content/numpy/concepts/random-module/terms/poisson/poisson.md
new file mode 100644
index 00000000000..375588364b2
--- /dev/null
+++ b/content/numpy/concepts/random-module/terms/poisson/poisson.md
@@ -0,0 +1,99 @@
+---
+Title: '.poisson()'
+Description: 'Returns random integers from a Poisson distribution.'
+Subjects:
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Data Distributions'
+  - 'NumPy'
+  - 'Probability'
+  - 'Random'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science-foundations'
+---
+
+NumPy’s `random` module includes the **`.poisson()`** function, which draws random samples from a Poisson distribution. This distribution models the probability of observing `k` events in a fixed time interval, given they occur at a constant average rate $`\lambda`$ and independent of the time since the last event.
+
+**The Poisson distribution**:
+
+$$f\left(k;\lambda\right) = \frac{\lambda^k e^{-\lambda}}{k!}$$
+
+## Syntax
+
+```pseudo
+numpy.random.poisson(lam=1.0, size=None)
+```
+
+**Parameters:**
+
+- `lam` (float, or array_like of floats): The expected number of events occurring over a fixed-time period. Must be `>=0`.
+- `size` (int, or tuple of ints, optional): Specifies the output shape. For example, `(3, 4)` produces a _3×4_ array. If `None`, a single sample is returned if `lam` is scalar; otherwise, `np.array(lam).size` samples are drawn.
+
+**Return value:**
+
+- `out` (ndarray or scalar): Samples drawn from the Poisson distribution with the specified parameters.
+
+## Example 1
+
+This example draws 10 samples from a Poisson distribution with `lam=5`:
+
+```py
+import numpy as np
+
+# Generate 10 random samples from a Poisson distribution with λ = 5
+results = np.random.poisson(5, 10)
+
+# Print the samples
+print(results)
+```
+
+This code outputs something similar to this:
+
+```shell
+[ 7  5 13  5  4  3  2  8  3  4]
+```
+
+## Example 2
+
+This example generates a _3×4_ matrix of random integers from a Poisson distribution with `λ = 5`:
+
+```py
+import numpy as np
+
+# Generate a 3x4 array of Poisson samples with λ = 5
+results = np.random.poisson(5, (3, 4))
+
+print(results)
+```
+
+This code produces an output similar to this:
+
+```shell
+[[4 4 4 7]
+ [1 8 3 4]
+ [3 4 8 5]]
+```
+
+> **Note:** The method produces random results so outcomes will vary.
+
+## Codebyte Example
+
+This codebyte example generates 10 Poisson-distributed random samples using a lambda value of `5` and prints the result:
+
+```codebyte/python
+import numpy as np
+
+# Set lambda value
+lam = 5
+
+# Set sample size
+size = 10
+
+# Generate samples
+results = np.random.poisson(lam, size)
+
+# Print the samples
+print(results)
+```

From 94a89a01f07d4ebf2f88105b9989d55b2f8b34a8 Mon Sep 17 00:00:00 2001
From: Karishma Battina <67629745+karishma-battina@users.noreply.github.com>
Date: Sat, 19 Jul 2025 00:17:48 -0500
Subject: [PATCH 019/332] [Term Entry] NumPy Random Module: .normal()

* Term entry for normal in numpy random

* Fix the variance parameter

* Update normal.md

* Update normal.md

* Update normal.md

---------
---
 .../random-module/terms/normal/normal.md      | 84 +++++++++++++++++++
 1 file changed, 84 insertions(+)
 create mode 100644 content/numpy/concepts/random-module/terms/normal/normal.md

diff --git a/content/numpy/concepts/random-module/terms/normal/normal.md b/content/numpy/concepts/random-module/terms/normal/normal.md
new file mode 100644
index 00000000000..58d5e928a34
--- /dev/null
+++ b/content/numpy/concepts/random-module/terms/normal/normal.md
@@ -0,0 +1,84 @@
+---
+Title: '.normal()'
+Description: 'Generates random samples from a normal (Gaussian) distribution.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Numpy'
+  - 'Python'
+  - 'Random'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.normal()`** function from NumPy's `random` module generates random numbers from a normal (Gaussian) distribution, which is a continuous, bell-shaped distribution commonly used in statistics and data science.
+
+## Syntax
+
+```pseudo
+numpy.random.normal(loc=0.0, scale=1.0, size=None)
+```
+
+**Parameters:**
+
+- `loc` (float or array_like of floats, optional): The mean ($\mu$) of the distribution. Default is `0.0`.
+- `scale` (float or array_like of floats, optional): The standard deviation ($\sigma$) of the distribution. Must be non-negative. Default is `1.0`.
+- `size` (int or tuple of ints, optional): The output shape. Specifies the number or shape of random samples to generate. If `None` (default), a single sample is returned.
+
+**Return value:**
+
+- `out` (ndarray or scalar): Random samples from the normal distribution.
+  - If `size` is `None`, returns a single float.
+  - If `size` is specified, returns a NumPy array of the given shape with samples drawn from the normal distribution.
+
+## Statistical Properties
+
+- Mean ($μ$) = `loc`
+- Variance ($σ^2$) = $\text{scale}^2$
+
+The Probability Density Function (PDF) of the normal distribution is:
+
+$$
+p(x) = \frac{1}{\sqrt{2\pi\sigma^2}} \ e^{-\frac{(x-\mu)^2}{2\sigma^2}}
+$$
+
+- $\mu$ is the mean (`loc`).
+- $\sigma$ is the standard deviation (`scale`).
+
+## Example
+
+This example generates two reproducible random samples from a normal distribution with `loc = 0` (mean) and `scale = 1` (standard deviation):
+
+```py
+import numpy as np
+np.random.seed(15)
+result = np.random.normal(loc=0, scale=1, size=2)
+print(result)
+```
+
+The output for this code will be:
+
+```shell
+[-0.44493578  0.22274619]
+```
+
+Here:
+
+- `np.random.seed(15)` ensures the same random numbers are generated every time the code runs.
+- `np.random.normal()` draws two samples from the standard normal distribution.
+
+## Codebyte Example
+
+This codebyte example generates a 2×3 array of normally distributed random numbers with `loc = 5` (mean) and `scale = 2` (standard deviation):
+
+```codebyte/python
+import numpy as np
+np.random.seed(42)
+result = np.random.normal(loc=5, scale=2, size=(2, 3))
+print(result)
+```
+
+- `np.random.seed(42)` sets the random seed for consistent results.
+- `size=(2, 3)` creates a 2D array with 2 rows and 3 columns of normally distributed samples.

From 69a8f49c5bbf53a390190b67b416d143519b178f Mon Sep 17 00:00:00 2001
From: arisdelacruz <115809819+arisdelacruz@users.noreply.github.com>
Date: Sat, 19 Jul 2025 13:26:44 +0800
Subject: [PATCH 020/332] [Term Entry] NumPy ndarray: .resize()

* Create the resize entry for numpy

* Update resize.md

* Update resize.md

* Update resize.md

* Minor changes

---------
---
 .../concepts/ndarray/terms/resize/resize.md   | 62 +++++++++++++++++++
 1 file changed, 62 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/resize/resize.md

diff --git a/content/numpy/concepts/ndarray/terms/resize/resize.md b/content/numpy/concepts/ndarray/terms/resize/resize.md
new file mode 100644
index 00000000000..9d3feebed1e
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/resize/resize.md
@@ -0,0 +1,62 @@
+---
+Title: '.resize()'
+Description: 'Changes the shape of a NumPy array in-place.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Functions'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.resize()`** method in NumPy changes the shape of an array in-place and may alter its data if the new shape is larger, filling extra elements as needed. It’s useful when reshaping arrays for further processing or analysis.
+
+## Syntax
+
+```pseudo
+ndarray.resize(new_shape, refcheck=True)
+```
+
+**Parameters:**
+
+- `new_shape`: The desired shape of the array. If it's larger than the original, data is repeated to fill space.
+- `refcheck`: If `True`, checks whether the array is referenced elsewhere before resizing. Set to `False` to skip this safety check and force a resize (may lead to issues if other views exist).
+
+**Return value:**
+
+The `.resize()` method modifies the array in-place and returns nothing. If the shape is increased, values are repeated to fill the new array.
+
+## Example: Resizing a 1D Array to a Larger Shape
+
+In this example, we resize a 1D array of length 3 to a shape of (2, 4). Since the new shape has more elements, the original values are repeated to fill the space:
+
+```py
+import numpy as np
+
+arr = np.array([1, 2, 3])
+arr.resize((2, 4))
+print(arr)
+```
+
+Here is the output:
+
+```shell
+[[1 2 3 0]
+ [0 0 0 0]]
+```
+
+## Codebyte Example: Shrinking a 2D Array to a Smaller Shape
+
+In this example, a 2D array is resized from shape (3, 3) to (2, 2), discarding excess elements:
+
+```codebyte/python
+import numpy as np
+
+arr = np.array([[11, 12, 13], [14, 15, 16], [17, 18, 19]])
+arr.resize((2, 2))
+print(arr)
+```

From 392a9a4bbb93619c7180f468c22bf1ea03c17fb7 Mon Sep 17 00:00:00 2001
From: Stuart Mosquera <stuartmosquera18@gmail.com>
Date: Sat, 19 Jul 2025 02:40:43 -0300
Subject: [PATCH 021/332] [Term Entry] JavaScript Arrays: .flatMap()

* [Term Entry] JavaScript Arrays: .flatMap() (#7311)

* create flatMap.md

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@@ -0,0 +1,114 @@
+---
+Title: '.flatMap()'
+Description: 'Returns a new array formed by applying a callback function to each element of the original array, then flattening the result by one level.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arrays'
+  - 'JavaScript'
+  - 'Methods'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+In JavaScript, the **`.flatMap()`** method returns a new array formed by applying a callback function to each element of the original array, then flattening the result by _one level_. It's a combination of the [`.map()`](https://www.codecademy.com/resources/docs/javascript/arrays/map) and [`.flat()`](https://www.codecademy.com/resources/docs/javascript/arrays/flat) methods and is slightly more efficient than calling them separately, as it performs both operations (mapping and flattening) in a single step.
+
+> **Note:** To flatten more than one level of nesting, chain the `.flat()` method after `.flatMap()`, as `.flatMap()` only flattens one level.
+
+## Syntax
+
+```pseudo
+array.flatMap(callbackFunc, thisArg);
+```
+
+**Parameters:**
+
+- `callbackFunc`: A function to execute on each element in the array. It takes the following arguments:
+  - `element` (required): The current element being processed.
+  - `index` (optional): The position of the current element being processed.
+  - `array` (optional): The array `.flatMap()` was called upon.
+- `thisArg` (optional): A value to use as `this` when executing `callbackFunc`.
+
+**Return value:**
+
+Returns a new array formed by applying the callback function to each element in the original array, then flattening the result by one level.
+
+## Example 1: Creating a Array of Words
+
+In this example, the `words` variable contains every word from the `phrases` array, using a single argument for the callback function. Each element is split using a space character as the separator (creating sub-arrays of words) and then flattened one level deep:
+
+```js
+const phrases = ['Hello world', 'JavaScript is awesome', 'flatMap is useful'];
+
+const words = phrases.flatMap((phrase) => phrase.split(' '));
+
+console.log(words);
+```
+
+The code will produce this output:
+
+```shell
+[
+  'Hello',      'world',
+  'JavaScript', 'is',
+  'awesome',    'flatMap',
+  'is',         'useful'
+]
+```
+
+## Example 2: Printing Every Argument
+
+This example prints every argument of the callback function and the result array. The `array` argument is converted to a [`JSON`](https://www.codecademy.com/resources/docs/javascript/json) string using the [`.stringify()`](https://www.codecademy.com/resources/docs/javascript/json/stringify) method for clarity:
+
+```js
+const numbers = [
+  [1, 2, 3],
+  [4, 5],
+  [6, 7, 8],
+];
+
+const result = numbers.flatMap((element, index, array) => {
+  console.log(
+    `Element: ${element}, Index: ${index}, Original Array: ${JSON.stringify(
+      array
+    )}`
+  );
+  return element;
+});
+
+console.log(''); //Line Break
+console.log(result);
+```
+
+The code will produce this output:
+
+```shell
+Element: 1,2,3, Index: 0, Original Array: [[1,2,3],[4,5],[6,7,8]]
+Element: 4,5, Index: 1, Original Array: [[1,2,3],[4,5],[6,7,8]]
+Element: 6,7,8, Index: 2, Original Array: [[1,2,3],[4,5],[6,7,8]]
+
+[
+  1, 2, 3, 4,
+  5, 6, 7, 8
+]
+```
+
+## Codebyte Example
+
+In this codebyte example, the variable `largeArray` contains a list of one million numbers, created using the `.from()` method of the array instance. The `console.time()` and `console.timeEnd()` methods are used to measure how long a block of code takes to execute:
+
+```codebyte/javascript
+const largeArray = Array.from({ length: 1000000 }, (value, index) => index);
+
+console.time('flatMap');
+const resultFlatMap = largeArray.flatMap((num) => [num, num * 2]);
+console.timeEnd('flatMap');
+
+console.time('map + flat');
+const resultMapFlat = largeArray.map((num) => [num, num * 2]).flat();
+console.timeEnd('map + flat');
+```
+
+The difference is that `.flatMap()` is faster because it performs mapping and flattening in a single pass, while `.map()` followed by `.flat()` performs two separate operations, making it slightly slower.

From 11f17bdaa36d81a610745ce5c1c2c2e832141c96 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 22 Jul 2025 22:48:16 +0530
Subject: [PATCH 022/332] [Edit] Python: Operators (#7323)

* [Edit] Python: Operators

* Update operators.md

* added keywords

* Update content/python/concepts/operators/operators.md

Co-authored-by: Codecademy-docs <131702907+codecademy-docs@users.noreply.github.com>

* Update content/python/concepts/operators/operators.md

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* Update content/python/concepts/operators/operators.md

Co-authored-by: Codecademy-docs <131702907+codecademy-docs@users.noreply.github.com>

* Update content/python/concepts/operators/operators.md

Co-authored-by: Codecademy-docs <131702907+codecademy-docs@users.noreply.github.com>

* Update content/python/concepts/operators/operators.md

Co-authored-by: Codecademy-docs <131702907+codecademy-docs@users.noreply.github.com>

* Update content/python/concepts/operators/operators.md

Co-authored-by: Codecademy-docs <131702907+codecademy-docs@users.noreply.github.com>

* Update content/python/concepts/operators/operators.md

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* Added the suggestions

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diff --git a/content/python/concepts/operators/operators.md b/content/python/concepts/operators/operators.md
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--- a/content/python/concepts/operators/operators.md
+++ b/content/python/concepts/operators/operators.md
@@ -1,225 +1,433 @@
 ---
 Title: 'Operators'
-Description: 'Operators are symbols that carry out arithmetic, logical, or relational operations.'
+Description: 'Perform operations on variables and values using special symbols and keywords in Python.'
 Subjects:
   - 'Computer Science'
-  - 'Data Science'
+  - 'Web Development'
 Tags:
-  - 'Operators'
   - 'Arithmetic'
-  - 'Comparison'
-  - 'Logical'
+  - 'Operators'
+  - 'Python'
+  - 'Variables'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
-  - 'paths/data-science'
 ---
 
-Operators are used to perform various operations on variables and values. The standard arithmetic and assignment operators are the most familiar.
+**Operators** in Python programming are special symbols or keywords that perform operations on variables and values. They are fundamental building blocks that allow developers to manipulate data, perform calculations, make comparisons, and control program flow. Python operators take one or more operands (values or variables) and produce a result based on the specific operation being performed. There are seven different operators in Python:
 
-## Syntax
+1. **Arithmetic Operators**: Used to perform mathematical calculations like addition, subtraction, multiplication, and division.
+2. **Assignment Operators**: Used to assign values to variables and update them with operations.
+3. **Comparison Operators**: Used to compare two values and return a Boolean result (True or False).
+4. **Logical Operators**: Used to combine multiple conditions and return a Boolean outcome.
+5. **Bitwise Operators**: Used to perform operations at the binary (bit) level on integers.
+6. **Membership Operators**: Used to test whether a value exists within a sequence such as a list or string.
+7. **Identity Operators**: Used to check whether two variables refer to the exact same object in memory.
 
-The following code snippet uses the assignment operator, `=`, to set `my_variable` to the value of `num1` and `num2` with an arithmetic operator acting on them. For example, if `operator` represented `*`, `my_variable` would be assigned a value of `num1 * num2`.
+## Arithmetic Operators
 
-```pseudo
-my_variable = num1 operator num2
-```
+Arithmetic operators perform mathematical operations on numeric values such as addition, subtraction, multiplication, and division. These operators are essential for mathematical calculations, data processing, and numerical computations in Python programs.
 
-Python operators can be organized into the following groups:
+These are the arithmetic operators available in Python:
 
-- Arithmetic operators for performing traditional math evaluations.
-- Assignment operators for assigning values to variables.
-- Comparison operators for comparing two values.
-- Logical operators for combining boolean values.
-- Ternary operators for shorthand conditional experessions.
-- Membership operators for testing membership in iterables.
+| Operator | Name           | Description                                   | Example  |
+| -------- | -------------- | --------------------------------------------- | -------- |
+| `+`      | Addition       | Adds two operands                             | `x + y`  |
+| `-`      | Subtraction    | Subtracts right operand from left operand     | `x - y`  |
+| `*`      | Multiplication | Multiplies two operands                       | `x * y`  |
+| `/`      | Division       | Divides left operand by right operand         | `x / y`  |
+| `%`      | Modulus        | Returns remainder of division                 | `x % y`  |
+| `**`     | Exponentiation | Raises left operand to power of right operand | `x ** y` |
+| `//`     | Floor Division | Returns floor of division result              | `x // y` |
 
-## Arithmetic Operators
+### Example of Arithmetic Operator in Python
 
-Python has the following arithmetic operators:
+```py
+# Shopping cart total calculation
+item_price = 25.99
+quantity = 3
+tax_rate = 0.08
 
-- Addition, `+`, which returns the sum of two numbers.
-- Subtraction, `-`, which returns the difference of two numbers.
-- Multiplication, `*`, which returns the product of two numbers.
-- Division, `/`, which returns the quotient of two numbers.
-- Exponentiation, `**`, which returns the value of one number raised to the power of another.
-- Modulus, `%`, which returns the remainder of one number divided by another.
-- Floor division, `//`, which returns the integer quotient of two numbers.
+# Calculate subtotal using multiplication
+subtotal = item_price * quantity
 
-The following code demonstrates how to use arithmetic operators in Python:
+# Calculate tax using multiplication
+tax_amount = subtotal * tax_rate
 
-```py
-3 + 2 # Addition | Output: 5
-3 - 2 # Subtraction | Output: 1
-3 * 2 # Multiplication | Output: 6
-3 / 2 # Division | Output: 1.5
-3 ** 2 # Exponentation | Output: 9
-3 % 2 # Modulus | Output: 1
-3 // 2 # Floor Division | Output: 1
+# Calculate total using addition
+total = subtotal + tax_amount
+
+# Calculate change from $100 using subtraction
+payment = 100.00
+change = payment - total
+
+# Display results
+print(f"Subtotal: ${subtotal:.2f}")
+print(f"Tax: ${tax_amount:.2f}")
+print(f"Total: ${total:.2f}")
+print(f"Change: ${change:.2f}")
+```
+
+The output of this code is:
+
+```shell
+Subtotal: $77.97
+Tax: $6.24
+Total: $84.21
+Change: $15.79
 ```
 
+This example demonstrates arithmetic operators in a real-world shopping scenario where multiplication calculates subtotal and tax, addition finds the final total, and subtraction determines change.
+
 ## Assignment Operators
 
-Python includes the following assignment operators:
+Assignment operators are used to assign values to variables and can simultaneously perform arithmetic operations during the assignment process. These operators provide a shorthand way to update variable values by combining an arithmetic operation with assignment.
 
-- The `=` operator assigns the value on the right to the variable on the left.
-- The `+=` operator updates a variable by incrementing its value and reassigning it.
-- The `-=` operator updates a variable by decrementing its value and reassigning it.
-- The `*=` operator updates a variable by multiplying its value and reassigning it.
-- The `/=` operator updates a variable by dividing its value and reassigning it.
-- The `%=` operator updates a variable by calculating its modulus against another value and reassigning it.
+These are the assignment operators available in Python:
 
-The following code demonstrates how to use assignment operators in Python:
+| Operator | Name                      | Description                 | Example   | Equivalent   |
+| -------- | ------------------------- | --------------------------- | --------- | ------------ |
+| `=`      | Assignment                | Assigns value to variable   | `x = 5`   | `x = 5`      |
+| `+=`     | Addition Assignment       | Adds and assigns            | `x += 3`  | `x = x + 3`  |
+| `-=`     | Subtraction Assignment    | Subtracts and assigns       | `x -= 3`  | `x = x - 3`  |
+| `*=`     | Multiplication Assignment | Multiplies and assigns      | `x *= 3`  | `x = x * 3`  |
+| `/=`     | Division Assignment       | Divides and assigns         | `x /= 3`  | `x = x / 3`  |
+| `%=`     | Modulus Assignment        | Applies modulus and assigns | `x %= 3`  | `x = x % 3`  |
+| `**=`    | Exponent Assignment       | Raises to power and assigns | `x **= 3` | `x = x ** 3` |
+| `//=`    | Floor Division Assignment | Floor divides and assigns   | `x //= 3` | `x = x // 3` |
+
+### Example of Python's Assignment Operator
 
 ```py
-x = 5 # Assign | Output: x = 5
-x += 2 # Increment and Assign | Output: x = 7
-x -= 2 # Decrement and Assign | Output: x = 5
-x *= 2 # Multiply and Assign | Output: x = 10
-x /= 2 # Divide and Assign | Output: x = 5
-x %= 2 # Modulus and Assign | Output: x = 1
+# Initial account balance
+account_balance = 1000.00
+
+# Deposit money using addition assignment
+deposit_amount = 250.00
+account_balance += deposit_amount
+print(f"After deposit: ${account_balance:.2f}")
+
+# Withdraw money using subtraction assignment
+withdrawal_amount = 75.00
+account_balance -= withdrawal_amount
+print(f"After withdrawal: ${account_balance:.2f}")
+
+# Apply monthly interest using multiplication assignment
+monthly_interest_rate = 1.005  # 0.5% interest
+account_balance *= monthly_interest_rate
+print(f"After interest: ${account_balance:.2f}")
+
+# Calculate service fee using division assignment
+service_fee_rate = 0.02  # 2% service fee
+fee_amount = account_balance
+fee_amount *= service_fee_rate
+account_balance -= fee_amount
+print(f"Final balance: ${account_balance:.2f}")
+```
+
+The output of this code is:
+
+```shell
+After deposit: $1250.00
+After withdrawal: $1175.00
+After interest: $1180.88
+Final balance: $1157.26
 ```
 
+This example shows how assignment operators streamline financial calculations by combining operations with assignments in a bank account management system.
+
 ## Comparison Operators
 
-Python has the following comparison operators:
+Comparison operators are used to compare two values and return a Boolean result (True or False). These operators are fundamental for decision-making in programs, allowing developers to create conditional logic, validate data, and control program flow. They work with numbers, strings, and other comparable data types, making them essential for sorting, filtering, and validation operations.
 
-- Equal, `==`, for returning `True` if two values are equal.
-- Not equal, `!=`, for returning `True` if two values are not equal.
-- Less than, `<`, for returning `True` if left value less than right value.
-- Less than or equal to, `<=`, for returning `True` if left value is less than or equal to right value.
-- Greater than, `>`, for returning `True` if left value greater than right value.
-- Greater than or equal to, `>=`, for returning `True` if left value greater than or equal to right value.
+These are the comparison operators available in Python:
 
-The following code demonstrates how to use comparison operators in Python:
+| Operator | Name                  | Description                                      | Example  |
+| -------- | --------------------- | ------------------------------------------------ | -------- |
+| `==`     | Equal                 | Returns True if operands are equal               | `x == y` |
+| `!=`     | Not Equal             | Returns True if operands are not equal           | `x != y` |
+| `>`      | Greater Than          | Returns True if left operand is greater          | `x > y`  |
+| `<`      | Less Than             | Returns True if left operand is smaller          | `x < y`  |
+| `>=`     | Greater Than or Equal | Returns True if left operand is greater or equal | `x >= y` |
+| `<=`     | Less Than or Equal    | Returns True if left operand is less or equal    | `x <= y` |
+
+### Example of Comparison Operators in Python
 
 ```py
-3 == 3 # Output: True
-3 != 2 # Output: True
-3 < 5 # Output: True
-3 <= 5 # Output: True
-3 > 5 # Output: False
-3 >= 5 # Output: False
+# Student test scores
+student_score = 87
+passing_score = 60
+honor_roll_score = 90
+perfect_score = 100
+
+# Check if student passed using greater than or equal
+passed = student_score >= passing_score
+print(f"Student passed: {passed}")
+
+# Check if student made honor roll using greater than or equal
+honor_roll = student_score >= honor_roll_score
+print(f"Honor roll: {honor_roll}")
+
+# Check if student got perfect score using equal
+perfect = student_score == perfect_score
+print(f"Perfect score: {perfect}")
+
+# Check if student needs improvement using less than
+needs_improvement = student_score < passing_score
+print(f"Needs improvement: {needs_improvement}")
+
+# Compare with class average
+class_average = 82
+above_average = student_score > class_average
+print(f"Above class average: {above_average}")
 ```
 
+The output of this code is:
+
+```shell
+Student passed: True
+Honor roll: False
+Perfect score: False
+Needs improvement: False
+Above class average: True
+```
+
+This example demonstrates comparison operators in an educational context where different score thresholds determine student performance levels.
+
 ## Logical Operators
 
-Python has the following logical operators:
+Logical operators perform logical operations on Boolean values and expressions, returning Boolean results based on the logical relationship between operands. These operators are crucial for creating complex conditional statements, combining multiple conditions, and implementing decision-making logic in programs.
 
-- The `and` operator returns `True` if both statements are `True`.
-- The `or` operator returns `True` if either statement is `True`.
-- The `not` operator returns `True` if its associated statement is `False`.
+These are the logical operators available in Python:
 
-The following code demonstrates how to use logical operators in Python:
+| Operator | Name        | Description                                  | Example   |
+| -------- | ----------- | -------------------------------------------- | --------- |
+| `and`    | Logical AND | Returns True if both operands are True       | `x and y` |
+| `or`     | Logical OR  | Returns True if at least one operand is True | `x or y`  |
+| `not`    | Logical NOT | Returns opposite Boolean value               | `not x`   |
 
-```py
-x = 10
-y = 5
-z = 15
+### Example of Python's Logical Operators
 
-# Logical AND
-and_result = (x > y) and (z > x) # True and True -> Output: True
+```py
+# User credentials and permissions
+user_authenticated = True
+user_role = "admin"
+account_active = True
+maintenance_mode = False
+
+# Check if user can access admin panel using 'and'
+admin_access = user_authenticated and user_role == "admin" and account_active
+print(f"Admin access granted: {admin_access}")
+
+# Check if user can access system using 'or'
+basic_access = user_authenticated and account_active or user_role == "guest"
+print(f"Basic access granted: {basic_access}")
+
+# Check if system is available using 'not'
+system_available = not maintenance_mode and account_active
+print(f"System available: {system_available}")
+
+# Complex access control logic
+full_access = (user_authenticated and account_active) and (user_role == "admin" or user_role == "moderator") and not maintenance_mode
+print(f"Full access granted: {full_access}")
+```
 
-# Logical OR
-or_result = (x < y) or (z > y) # False or True -> Output: True
+The output of this code is:
 
-# Logical NOT
-not_result = not (x < y) # not False -> Output: True
+```shell
+Admin access granted: True
+Basic access granted: True
+System available: True
+Full access granted: True
 ```
 
-## Ternary Operators
+This example shows logical operators in a security system where multiple conditions must be evaluated to determine user access permissions.
 
-Ternary operators in Python provide a shorthand way of writing simple `if-else` statements. They are often used for conditional expressions or evaluations.
+## Identity Operators
 
-### Syntax
+Identity operators compare the memory location of two objects to determine if they refer to the same object in memory, rather than comparing their values. These operators are particularly useful for checking object references, validating None values, and understanding Python's object model. They help distinguish between objects that have the same value versus objects that are actually the same instance.
 
-```pseudo
-value_if_true if condition else value_if_false
-```
+These are the identity operators available in Python:
+
+| Operator | Name         | Description                                      | Example      |
+| -------- | ------------ | ------------------------------------------------ | ------------ |
+| `is`     | Identity     | Returns True if operands are the same object     | `x is y`     |
+| `is not` | Not Identity | Returns True if operands are not the same object | `x is not y` |
 
-The expression evaluates the `condition`, and if it is `True`, it returns `value_if_true`. Otherwise, it returns `value_if_false`.
+### Example of Identity Operators in Python
 
 ```py
-age = 20
-status = "Adult" if age >= 18 else "Minor"
-print(status) # Output: Adult
+# Creating different types of objects
+list1 = [1, 2, 3]
+list2 = [1, 2, 3]
+list3 = list1
+
+# Check if lists are the same object using 'is'
+same_object = list1 is list3
+print(f"list1 is list3: {same_object}")
+
+# Check if lists are different objects using 'is'
+different_objects = list1 is list2
+print(f"list1 is list2: {different_objects}")
+
+# Check if lists are not the same object using 'is not'
+not_same_object = list1 is not list2
+print(f"list1 is not list2: {not_same_object}")
+
+# Common use case: checking for None
+user_data = None
+no_data = user_data is None
+print(f"No user data: {no_data}")
+
+# After loading data
+user_data = {"name": "John", "age": 30}
+has_data = user_data is not None
+print(f"Has user data: {has_data}")
 ```
 
+The output of this code is:
+
+```shell
+list1 is list3: True
+list1 is list2: False
+list1 is not list2: True
+No user data: True
+Has user data: True
+```
+
+This example demonstrates identity operators for checking object references and validating None values, which is common in data validation scenarios.
+
 ## Membership Operators
 
-Membership operators test whether a value exists within an iterable object like a list, string, or dictionary.
+Membership operators test whether a value is present in a sequence such as strings, lists, tuples, sets, or dictionaries. These operators are essential for data validation, content filtering, and search operations. They provide an efficient way to check for the existence of elements in collections and are commonly used in conditional statements and data processing tasks. There are two membership operators avaialble in Python: Python `in` operator and `not in` operator.
 
-- The `in` operator returns `True` if the element on the left is found in the iterable object on the right.
-- The `not in` operator returns `True` if the element on the left is not found in the iterable object on the right.
+| Operator | Name           | Description                                    | Example             |
+| -------- | -------------- | ---------------------------------------------- | ------------------- |
+| `in`     | Membership     | Returns True if value is found in sequence     | `x in sequence`     |
+| `not in` | Not Membership | Returns True if value is not found in sequence | `x not in sequence` |
 
-Below is an example that shows how to use the membership operators in Python:
+### Example of Membership Operators in Python
 
 ```py
-x = "a" in "apple" # Output: True
-y = "z" not in "apple" # Output: True
+# Content filtering for a social media platform
+blocked_words = ["spam", "scam", "fake", "virus"]
+user_message = "This is a legitimate message about our product"
+suspicious_message = "This is a spam message with fake offers"
+
+# Check if message contains blocked words using 'in'
+contains_blocked = any(word in user_message.lower() for word in blocked_words)
+print(f"Message contains blocked words: {contains_blocked}")
+
+# Check specific word using 'in'
+has_spam = "spam" in suspicious_message.lower()
+print(f"Message contains 'spam': {has_spam}")
+
+# Check if word is not in blocked list using 'not in'
+safe_word = "product"
+is_safe = safe_word not in blocked_words
+print(f"'{safe_word}' is safe to use: {is_safe}")
+
+# Check user permissions
+allowed_users = ["admin", "moderator", "verified_user"]
+current_user = "regular_user"
+has_permission = current_user in allowed_users
+print(f"User has permission: {has_permission}")
+
+# Check if user is not in banned list
+banned_users = ["spammer123", "troll456"]
+is_banned = current_user in banned_users
+print(f"User is banned: {is_banned}")
 ```
 
-## Order of Operations
+The output of this code is:
 
-Python evaluates an expression in order of precedence as follows:
+```shell
+Message contains blocked words: False
+Message contains 'spam': True
+'product' is safe to use: True
+User has permission: False
+User is banned: False
+```
 
-- Items in parentheses, (`(`...`)`), have the highest level of precedence, expressions within them are evaluated first.
-- Exponentiation (`**`)
-- Multiplication and division operators (`*`, `/`, `//` & `%`)
-- Addition and subtraction (`+` & `-`)
-- Comparison (`<`, `<=`, `>` & `>=`)
-- Equality (`==` & `!=`)
-- `not`
-- `and`
-- `or`
+This example shows membership operators in a content moderation system where text and user validation are performed using sequence membership tests.
 
-Below is an example that shows the order of operations in an expression in Python:
+## Bitwise Operators
 
-```py
-result = 3 + 2 * (4 ** 2) / 2
-print(result) # Output: 19.0
-```
+Bitwise operators perform operations on the binary representations of numbers at the individual bit level. These operators are used in low-level programming, system programming, and performance-critical applications where direct manipulation of bits is required. They are commonly used for flag management, permissions systems, cryptography, and embedded programming where efficient memory usage and fast operations are essential.
 
-> **Note:** Items at the same precedence are evaluated left to right. The exception to this is exponentiation, which evaluates right to left.
+These are the bitwise operators available in Python:
 
-## Codebyte Example
+| Operator | Name        | Description                        | Example  |
+| -------- | ----------- | ---------------------------------- | -------- |
+| `&`      | Bitwise AND | Returns 1 if both bits are 1       | `x & y`  |
+| `\|`     | Bitwise OR  | Returns 1 if at least one bit is 1 | `x \| y` |
+| `^`      | Bitwise XOR | Returns 1 if bits are different    | `x ^ y`  |
+| `~`      | Bitwise NOT | Returns complement of bits         | `~x`     |
+| `<<`     | Left Shift  | Shifts bits to the left            | `x << 2` |
+| `>>`     | Right Shift | Shifts bits to the right           | `x >> 2` |
 
-The following code demonstrates the use of various operators in Python, including arithmetic, comparison, logical, ternary, and membership operators:
+### Example of Bitwise Operators in Python
 
-```codebyte/python
-a = 10
-b = 5
+```py
+# Permission flags for a file system
+READ = 4    # 100 in binary
+WRITE = 2   # 010 in binary
+EXECUTE = 1 # 001 in binary
+
+# User permissions using bitwise OR to combine flags
+user_permissions = READ | WRITE  # 110 in binary (6 in decimal)
+print(f"User permissions: {user_permissions}")
+
+# Check if user has read permission using bitwise AND
+has_read = bool(user_permissions & READ)
+print(f"Has read permission: {has_read}")
+
+# Check if user has write permission using bitwise AND
+has_write = bool(user_permissions & WRITE)
+print(f"Has write permission: {has_write}")
+
+# Check if user has execute permission using bitwise AND
+has_execute = bool(user_permissions & EXECUTE)
+print(f"Has execute permission: {has_execute}")
+
+# Add execute permission using bitwise OR
+user_permissions = user_permissions | EXECUTE
+print(f"Updated permissions: {user_permissions}")
+
+# Remove write permission using bitwise XOR
+user_permissions = user_permissions ^ WRITE
+print(f"After removing write: {user_permissions}")
+
+# Double a number using left shift (equivalent to multiplying by 2)
+number = 5
+doubled = number << 1
+print(f"{number} doubled using left shift: {doubled}")
+```
 
-# Arithmetic Operators
-sum = a + b
-difference = a - b
-product = a * b
-quotient = a / b
-modulus = a % b
+The output of this code is:
 
-print(f"Sum: {sum}, Difference: {difference}, Product: {product}, Quotient: {quotient}, Modulus: {modulus}.")
+```shell
+User permissions: 6
+Has read permission: True
+Has write permission: True
+Has execute permission: False
+Updated permissions: 7
+After removing write: 5
+5 doubled using left shift: 10
+```
 
-# Comparison Operators
-is_equal = (a == b)
-is_greater = (a > b)
+This example demonstrates bitwise operators in a file permission system where flags are combined and checked using binary operations, which is memory-efficient for managing multiple boolean states.
 
-print(f"Is Equal: {is_equal}, Is Greater: {is_greater}")
+## Frequently Asked Questions
 
-# Logical Operators
-logical_and = is_equal and is_greater
-logical_or = is_equal or is_greater
+### 1. What is an operator in Python?
 
-print(f"Logical AND: {logical_and}, Logical OR: {logical_or}")
+An operator in Python is a symbol or keyword used to perform operations on values or variables. These operations can include math, comparisons, logic checks, and more.
 
-# Ternary Operators
-status = "Greater" if a > b else "Smaller or Equal"
+### 2. How many operators are there in Python?
 
-print(f"Status: {status}")
+Python has seven main types of operators: arithmetic, assignment, comparison, logical, bitwise, membership, and identity. Each type includes several specific operators used for different tasks.
 
-# Membership Operators
-letter = 'a'
-word = 'apple'
-membership_check = letter in word
+### 3. What is the difference between `=` and `==` operators?
 
-print(f"Is '{letter}' in '{word}': {membership_check}")
-```
+The `=` operator assigns a value to a variable, while `==` compares two values for equality. Use `=` for assignment and `==` for comparison.

From 64c60f8f5f58e47e4846bb162159488da7de301f Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 22 Jul 2025 23:01:07 +0530
Subject: [PATCH 023/332] [Edit] SQL: Errors (#7321)

* [Edit] SQL: Errors

* added keywords

* Update content/sql/concepts/errors/errors.md

Co-authored-by: Codecademy-docs <131702907+codecademy-docs@users.noreply.github.com>

* Update errors.md

* Minor changes

---------
---
 content/sql/concepts/errors/errors.md | 167 +++++++++++++++++++++-----
 1 file changed, 137 insertions(+), 30 deletions(-)

diff --git a/content/sql/concepts/errors/errors.md b/content/sql/concepts/errors/errors.md
index 4c515627eea..3b8a7aa2dee 100644
--- a/content/sql/concepts/errors/errors.md
+++ b/content/sql/concepts/errors/errors.md
@@ -1,60 +1,167 @@
 ---
-Title: 'Errors'
-Description: 'An error refers to a problem that prevents the successful execution of a query or generates incorrect results.'
+Title: 'SQL Errors'
+Description: 'Returns diagnostic messages when issues occur during SQL query execution and database operations.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
 Tags:
-  - 'Aggregate Functions'
-  - 'Alias'
-  - 'Arithmetic'
-  - 'CRUD'
+  - 'Database'
+  - 'Debugging'
+  - 'Error Handling'
+  - 'Errors'
+  - 'SQL'
 CatalogContent:
   - 'learn-sql'
   - 'paths/analyze-data-with-sql'
 ---
 
-**Errors** in SQL occur when a query or operation fails to execute properly or generates incorrect results.
+**SQL errors** are diagnostic messages returned by database management systems when issues occur during query execution or database operations. These errors provide information about what went wrong and help developers identify and resolve problems in their SQL statements or database configurations. SQL errors typically include an error code, a short description, and sometimes a detailed explanation.
 
-There are mainly three types of SQL errors. Each of them are discussed below.
+## Types of SQL errors
 
-## Syntax Errors
+SQL errors can be categorized into several main types based on their nature and when they occur during query processing:
 
-A syntax error occurs when a SQL query does not follow the correct syntax or violate any linguistic rules, like the use of wrong keywords or wrong clauses.
+- **Syntax errors** occur when SQL statements violate the rules of SQL grammar, including misspelled keywords, missing clauses, incorrect punctuation, or improper use of operators. These errors prevent the query from being parsed and executed by the database engine.
 
-## Runtime Errors
+- **Runtime errors** happen during query execution and are often caused by issues like data type mismatches, division by zero operations, or attempts to perform invalid operations on the data. These errors occur after the query has been successfully parsed but fail during the actual execution phase.
 
-A runtime error occurs when the execution of a query takes place. This is why it is named as runtime error. These errors can occur due to performing inapplicable operations, like division by zero.
+- **Logical errors** arise when queries execute without raising an error message but produce incorrect results due to flaws in the query logic itself. These errors are often the most challenging to identify because the database system doesn't flag them as problems.
 
-## Logical Errors
+- **Constraint violations** occur when database operations violate established database constraints, such as unique constraints, foreign key constraints, or check constraints. These errors help maintain data integrity by preventing invalid data modifications.
 
-Logical errors arise when a query executes successfully, but produces an incorrect or unintended result due to the existence of logical flaws in it.
+- **Data type mismatch errors** happen when attempting to insert, update, or compare incompatible data types. For example, trying to insert a text string into a numeric column or comparing a date with an integer value.
 
-## Syntax
+- **System errors** are related to the database system infrastructure and can range from connection issues and authentication failures to more severe problems like database corruption, insufficient memory, or network connectivity problems.
 
-The below syntax demonstrates how a syntactical error occurs in SQL. Here the word `FORM` causes a syntactical error:
+## SQL Error Codes
 
-```pseudo
-SELECT * FORM users;
+SQL error codes are standardized numeric identifiers that specify the type of issue encountered during database operations. Different database systems use various error code ranges to categorize problems, from syntax errors to connection failures.
+
+### Success and Warning Codes
+
+| Error Code | Description                                                                              |
+| ---------- | ---------------------------------------------------------------------------------------- |
+| 0          | Successful execution of the SQL statement. No errors occurred.                           |
+| 100        | No data found; used by some SQL databases to indicate that a query has returned no rows. |
+
+### General Error Codes (-1 to -99)
+
+This range includes various general SQL issues such as **syntax errors**, **data type mismatches**, and permission problems.
+
+| Error Code | Description                                                                          |
+| ---------- | ------------------------------------------------------------------------------------ |
+| -1         | General SQL error; the specific issue is not defined.                                |
+| -2         | Invalid SQL statement or syntax error in the SQL query.                              |
+| -3         | Out of memory; the system could not allocate the required memory.                    |
+| -4         | Database connection error; unable to establish or maintain a connection.             |
+| -5         | Data type mismatch; trying to insert or process incompatible data types.             |
+| -6         | Numeric overflow; value exceeds the storage capacity.                                |
+| -8         | Constraint violation; such as a unique constraint or foreign key constraint failure. |
+| -9         | Invalid operation; performing an operation that is not allowed.                      |
+| -10        | Deadlock; two or more transactions are waiting for each other to release locks.      |
+| -11        | Timeout; the operation took longer than the permitted time limit.                    |
+| -12        | Data integrity issue; corruption or mismatch in data.                                |
+| -13        | Invalid index; referring to a non-existent or incorrect index.                       |
+| -14        | Unspecified SQL error; general error with no specific cause.                         |
+| -15        | Authentication error; issues with user credentials or login.                         |
+| -16        | Database not found; the specified database does not exist.                           |
+| -17        | Query execution error; issues encountered during SQL query execution.                |
+
+### Specific Feature Error Codes (-101 to -500)
+
+This range includes more specific SQL error messages related to feature support, query execution, and data integrity.
+
+| Error Code | Description                                                                           |
+| ---------- | ------------------------------------------------------------------------------------- |
+| -101       | Syntax error; the SQL statement contains incorrect syntax.                            |
+| -102       | Incorrect or missing keyword in the SQL statement.                                    |
+| -103       | Unexpected token; encountered an unrecognized or invalid character.                   |
+| -104       | Column not found; attempting to access a non-existent column.                         |
+| -105       | Table not found; specified table does not exist.                                      |
+| -106       | Function or stored procedure not found; non-existent function or procedure.           |
+| -107       | Invalid operation on an open cursor; operation not permitted.                         |
+| -108       | Incorrect data length; data does not fit in the specified length.                     |
+| -109       | Invalid constraint definition; issues with constraints in the database schema.        |
+| -110       | Unsupported SQL feature; the SQL feature is not available in the current environment. |
+
+## Example of Syntax SQL Error
+
+This example demonstrates a common syntax error that occurs when SQL keywords are misspelled or used incorrectly.
+
+```sql
+-- Incorrect syntax with misspelled SELECT keyword
+SELCT name, age FROM users WHERE age > 25;
+```
+
+The output of this code will be:
+
+```shell
+ERROR: syntax error at or near "SELCT"
+LINE 1: SELCT name, age FROM users WHERE age > 25;
+        ^
+```
+
+The error occurs because `SELCT` is not a valid SQL keyword. The correct statement should use `SELECT` instead. This type of **syntax error** is one of the most common SQL errors encountered by developers.
+
+## Example 2: Table Not Found Error in SQL
+
+This example shows what happens when referencing a table that doesn't exist in the database:
+
+```sql
+-- Attempting to query a non-existent table
+SELECT product_name, price
+FROM inventory
+WHERE category = 'electronics';
 ```
 
-## Example
+The output of this code will be:
 
-The following example shows how different errors arise in SQL:
+```shell
+ERROR: relation "inventory" does not exist
+LINE 2: FROM inventory
+             ^
+```
+
+This **table not found error** occurs when the specified table name doesn't exist in the current database schema. Common causes include misspelled table names, incorrect database context, or attempting to access tables that haven't been created yet.
+
+## Example 3: Data Type Mismatch Error in SQL
+
+This example demonstrates an error that occurs when trying to insert incompatible data types into a column.
 
 ```sql
--- Create a table with a UNIQUE constraint
-CREATE TABLE users (
-  id INT PRIMARY KEY,
-  email VARCHAR(100) UNIQUE
+-- Creating a table with specific data types
+CREATE TABLE employees (
+  id INTEGER,
+  name VARCHAR(50),
+  hire_date DATE,
+  salary DECIMAL(10,2)
 );
 
--- Insert data with syntax error
-INSERT INTO users (id, email VALUES (1, 'alice@example.com'); -- Error: Missing closing parenthesis
+-- Attempting to insert an incorrect data type into the 'id' column
+INSERT INTO employees (id, name, hire_date, salary)
+VALUES ('invalid_id', 'John Doe', '2024-12-15', 75000.00);
+```
 
--- Insert data with unique constraint violation
-INSERT INTO users (id, email) VALUES (2, 'alice@example.com'); -- Error: Duplicate email
+The output of this code will be:
 
--- Data type mismatch
-INSERT INTO users (id, email) VALUES ('three', 'bob@example.com'); -- Error: 'id' should be an integer
+```shell
+ERROR: invalid input syntax for type integer: "invalid_id"
+LINE 2: VALUES ('invalid_id', 'John Doe', '2024-13-45', 'high_salary');
+                ^
 ```
+
+This **data type mismatch error** occurs when a value being inserted doesn’t match the expected data type for its column. In this case, the `id` column expects an integer, but a string was provided, causing the query to fail before other values are evaluated.
+
+## Frequently Asked Questions
+
+### 1. What is error 805 in SQL code?
+
+Error 805 is commonly seen in IBM DB2 systems. It usually means a required package or page wasn't found in the database — often due to missing table space, a broken index, or an issue with the execution environment.
+
+### 2. What is SQL logic error?
+
+A SQL logic error occurs when the structure of a query is valid but its logic is flawed. This might happen if you're referencing non-existent tables or columns, misusing functions, or violating query constraints.
+
+### 3. What is the SQL error?
+
+`SQLError()` is a generic way to refer to an error thrown by a database system when a query fails. It often includes details like an error code, message, and sometimes a trace of what caused the failure. It’s commonly seen in environments like Web SQL (JavaScript) or abstracted in database libraries.

From ddc8b09278035d8adbd2a300dd0c5383fe535362 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 22 Jul 2025 23:17:55 +0530
Subject: [PATCH 024/332] [Edit] Git: .gitignore (#7338)

* [Edit] Git: .gitignore

* added keywords

* Update content/git/concepts/gitignore/gitignore.md

Co-authored-by: Codecademy-docs <131702907+codecademy-docs@users.noreply.github.com>

* Update content/git/concepts/gitignore/gitignore.md

Co-authored-by: Codecademy-docs <131702907+codecademy-docs@users.noreply.github.com>

* added suggestions

* Update content/git/concepts/gitignore/gitignore.md

* Update content/git/concepts/gitignore/gitignore.md

---------
---
 content/git/concepts/gitignore/gitignore.md | 103 ++++++++++++--------
 1 file changed, 61 insertions(+), 42 deletions(-)

diff --git a/content/git/concepts/gitignore/gitignore.md b/content/git/concepts/gitignore/gitignore.md
index 3677ec14df3..8db0d0d369b 100644
--- a/content/git/concepts/gitignore/gitignore.md
+++ b/content/git/concepts/gitignore/gitignore.md
@@ -1,6 +1,6 @@
 ---
 Title: '.gitignore'
-Description: 'A configuration file that instructs Git to ignore specific files and directories when tracking changes in a repository.'
+Description: 'Tells Git which files and directories to ignore when committing changes to a repository.'
 Subjects:
   - 'Code Foundations'
   - 'Developer Tools'
@@ -10,67 +10,86 @@ Tags:
   - 'Version Control'
 CatalogContent:
   - 'learn-git'
-  - 'learn-the-command-line'
+  - 'paths/computer-science'
 ---
 
-A **.gitignore** file specifies the files and directories that Git should ignore when tracking changes in a repository. This is particularly useful for excluding build artifacts, temporary files, dependencies, and sensitive information from version control. The .gitignore file should be located in the root directory of a repository.
+A **`.gitignore`** file tells [Git](https://www.codecademy.com/resources/docs/git) which files and directories to ignore when committing changes to a repository. This file prevents unnecessary files from being tracked and committed, keeping the repository clean and focused on essential project files.
 
-## Common .gitignore patterns
+## Create a .gitignore File
 
-Below are common patterns typically included in .gitignore files:
+Creating a `.gitignore` file allows developers to specify which files and directories Git should ignore in a repository. This file should be placed in the root directory of the Git repository:
 
-```plaintext
-# Ignore node modules directory
-node_modules/
+```bash
+# For macOS/Linux/Unix:
+touch .gitignore
 
-# Ignore build output directories
-dist/
-build/
+# For Windows Command Prompt:
+echo.>.gitignore
+
+# For Windows PowerShell:
+New-Item .gitignore -ItemType File
+```
+
+These commands create an empty `.gitignore` file in the current directory. Once created, the file can be opened and edited to add patterns for files and directories to ignore in Git.
+
+## .gitignore File Patterns and Format
+
+The `.gitignore` file uses specific patterns to match files and directories. Each pattern is written on a separate line, and Git processes these patterns from top to bottom.
+
+### Syntax Rules
+
+The `.gitignore` file follows these key syntax rules:
 
-# Ignore environment files
-.env
-.env.local
+- **`#` for comments**: Lines starting with `#` are treated as comments and are ignored by Git
+- **`*`, `?`, `[]` for wildcards**:
+  - `*` matches any number of characters
+  - `?` matches a single character
+  - `[]` matches any character within the brackets
+- **`/` for directory targeting**: Use `/` to specify directories or paths
+- **`!` to negate a pattern**: Use `!` at the beginning of a line to create exceptions to ignored patterns
 
-# Ignore log files
+### Example Block
+
+```bash
+# Ignore all log files
 *.log
 
-# Ignore system files
-.DS_Store
-Thumbs.db
+# Ignore temporary files
+temp/
+
+# Ignore all .txt files in the root directory only
+/*.txt
+
+# Ignore all files in the build directory
+build/
 
-# Ignore IDE specific files
-.idea/
-.vscode/
-*.sublime-project
-*.sublime-workspace
+# Exception: don't ignore important.log
+!important.log
 ```
 
-## Creating a .gitignore file
+## Local & Personal Ignore Rules
 
-Step 1: Create a new .gitignore file in the repository's root directory:
+For files that should be ignored only on a local machine and not shared with other developers, there are two options:
 
-```shell
-touch .gitignore
+- **Local `.gitignore`**: Add patterns to `.git/info/exclude` in the repository
+- **Global `.gitignore`**: Set up a global ignore file using:
+
+```bash
+git config --global core.excludesfile ~/.gitignore_global
 ```
 
-Step 2: Open the file in the preferred text editor and specify the files and directories to ignore:
+This allows developers to ignore editor-specific files, OS-generated files, and other personal preferences without affecting the project's shared `.gitignore` file.
 
-```shell
-# Open with VS Code
-code .gitignore
+## Frequently Asked Questions
 
-# Open with Vim
-vim .gitignore
-```
+### 1. How to use `.gitignore` for a folder?
+
+To ignore a folder in Git, add the folder name followed by a slash to the `.gitignore` file.
 
-> **Note:** Wildcards like '\*' can be used for pattern matching and '#' for comments in the .gitignore file.
+### 2. Where is the `.gitignore` file located?
 
-## Common .gitignore rules
+The `.gitignore` file is typically located in the root directory of a Git repository. Subdirectories can also have their own `.gitignore` files for more granular control.
 
-1. Specific file: `filename.txt`
-2. File pattern: `*.log`
-3. Directory: `node_modules/`
-4. Nested directory: `**/logs/`
-5. Negation (don't ignore): `!important.log`
+### 3. Can you have multiple `.gitignore` files?
 
-> **Note:** If ignored files have already been committed, remove them from Git's tracking using `git rm --cached <file>` before .gitignore takes effect.
+Yes. You can have one main `.gitignore` in the root and additional `.gitignore` files in subfolders. Git applies rules from all `.gitignore` files it encounters, starting from the directory of the file being checked and moving up the directory tree.

From 4599445896f4229c382b1037ffce30d312192d30 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 23 Jul 2025 22:40:50 +0530
Subject: [PATCH 025/332] [Edit] C#: Math functions: Abs() (#7271)

* [Edit] C#: Math functions: Abs()

* added keywords

* Update content/c-sharp/concepts/math-functions/terms/abs/abs.md

* Update content/c-sharp/concepts/math-functions/terms/abs/abs.md

* Update content/c-sharp/concepts/math-functions/terms/abs/abs.md

* Update content/c-sharp/concepts/math-functions/terms/abs/abs.md

* Update content/c-sharp/concepts/math-functions/terms/abs/abs.md

---------
---
 .../concepts/math-functions/terms/abs/abs.md  | 168 ++++++++++++++----
 1 file changed, 138 insertions(+), 30 deletions(-)

diff --git a/content/c-sharp/concepts/math-functions/terms/abs/abs.md b/content/c-sharp/concepts/math-functions/terms/abs/abs.md
index d8331125cd5..e4fb0f42267 100644
--- a/content/c-sharp/concepts/math-functions/terms/abs/abs.md
+++ b/content/c-sharp/concepts/math-functions/terms/abs/abs.md
@@ -1,74 +1,182 @@
 ---
-Title: '.Abs()'
-Description: 'Computes the non-negative value of a number regardless of its sign.'
+Title: 'Abs()'
+Description: 'Returns the absolute value of a specified number.'
 Subjects:
-  - 'Code Foundations'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
+  - 'Functions'
+  - 'Math'
   - 'Methods'
   - 'Numbers'
-  - 'Arithmetic'
-  - 'Functions'
 CatalogContent:
   - 'learn-c-sharp'
   - 'paths/computer-science'
 ---
 
-The **`Math.Abs()`** class method returns the absolute value of a given number.
+The C# **`Math.Abs()`** method is a static method that returns the absolute value of a specified number. The absolute value of a number is its distance from zero on the number line, always expressed as a positive value or zero.
 
-## Syntax
+## Syntax of C# `Math.Abs()`
 
 ```pseudo
 Math.Abs(number);
 ```
 
-The `Math.Abs()` method takes only one parameter, `number`, a `decimal`, `double` or `integer` type number. The method returns the absolute value of the `number` with the same type as the `number`, except if the value of `number` equals:
+**Parameters:**
+
+- `number`: The numeric value for which to calculate the absolute value. This can be of type `decimal`, `double`, `float`, `int`, `long`, `sbyte`, `short`, or `IntPtr`.
+
+**Return value:**
 
-- `NaN` (not a number), then it returns `NaN`
-- `NegativeInfinity`, then it returns `PositiveInfinity`
-- `PositiveInfinity`, then it also returns `PositiveInfinity`
+Returns the absolute value of the specified number with the same data type as the input parameter. Special cases include:
 
-## Example
+- If the input is `NaN` (Not a Number), returns `NaN`
+- If the input is negative infinity, returns positive infinity
+- If the input is positive infinity, returns positive infinity
 
-The following example uses the `Math.Abs()` method to return the absolute value of a `decimal` and a `double` type number. Then, the `Console.WriteLine()` function prints the results to the console:
+## Example 1: Basic Usage of C# `Math.Abs()`
+
+This example demonstrates the fundamental use of the `Math.Abs()` method with different numeric types to show how it returns the non-negative equivalent of the number:
 
 ```cs
 using System;
 
-public class Example {
-  public static void Main() {
-    decimal num1 = -1.23M;
-    double num2 = 6.674E-11;
+public class BasicAbsExample
+{
+  public static void Main()
+  {
+    // Integer examples
+    int negativeInt = -42;
+    int positiveInt = 15;
+
+    // Decimal examples
+    decimal negativeDecimal = -3.14m;
+    decimal positiveDecimal = 2.71m;
+
+    // Calculate absolute values
+    int absInt1 = Math.Abs(negativeInt);
+    int absInt2 = Math.Abs(positiveInt);
+    decimal absDecimal1 = Math.Abs(negativeDecimal);
+    decimal absDecimal2 = Math.Abs(positiveDecimal);
+
+    // Display results
+    Console.WriteLine($"Math.Abs({negativeInt}) = {absInt1}");
+    Console.WriteLine($"Math.Abs({positiveInt}) = {absInt2}");
+    Console.WriteLine($"Math.Abs({negativeDecimal}) = {absDecimal1}");
+    Console.WriteLine($"Math.Abs({positiveDecimal}) = {absDecimal2}");
+  }
+}
+```
+
+The output of this code is as follows:
+
+```shell
+Math.Abs(-42) = 42
+Math.Abs(15) = 15
+Math.Abs(-3.14) = 3.14
+Math.Abs(2.71) = 2.71
+```
+
+## Example 2: Calculating Temperature Difference using `Math.Abs()`
+
+This example shows how `Math.Abs()` can be used in a real-world scenario to calculate the temperature difference between two values, which is always expressed as a positive number:
 
-    decimal abs1 = Math.Abs(num1);
-    double abs2 = Math.Abs(num2);
+```cs
+using System;
 
-    Console.WriteLine("The absolute value of " + num1 + " is: " + abs1);
-    Console.WriteLine("The absolute value of " + num2 + " is: " + abs2);
+public class TemperatureDifference
+{
+  public static void Main()
+  {
+    // Temperature readings in Celsius
+    double morningTemp = -5.2;
+    double afternoonTemp = 18.7;
+    double eveningTemp = 12.3;
+
+    // Calculate temperature differences
+    double morningAfternoonDiff = Math.Abs(afternoonTemp - morningTemp);
+    double afternoonEveningDiff = Math.Abs(eveningTemp - afternoonTemp);
+    double morningEveningDiff = Math.Abs(eveningTemp - morningTemp);
+
+    // Display results
+    Console.WriteLine("Temperature Analysis:");
+    Console.WriteLine($"Morning: {morningTemp}C");
+    Console.WriteLine($"Afternoon: {afternoonTemp}C");
+    Console.WriteLine($"Evening: {eveningTemp}C");
+    Console.WriteLine();
+    Console.WriteLine("Temperature Differences:");
+    Console.WriteLine($"Morning to Afternoon: {morningAfternoonDiff}C");
+    Console.WriteLine($"Afternoon to Evening: {afternoonEveningDiff}C");
+    Console.WriteLine($"Morning to Evening: {morningEveningDiff}C");
   }
 }
 ```
 
-The example will result in the following output:
+The output of this code is as follows:
 
 ```shell
-The absolute value of -1.23 is: 1.23
-The absolute value of 6.674E-11 is: 6.674E-11
+Temperature Analysis:
+Morning: -5.2°C
+Afternoon: 18.7°C
+Evening: 12.3°C
+
+Temperature Differences:
+Morning to Afternoon: 23.9°C
+Afternoon to Evening: 6.4°C
+Morning to Evening: 17.5°C
 ```
 
-## Codebyte Example
+## Codebyte Example: Financial Loss Calculator Using `Math.Abs()`
 
-The following example is runnable and returns the absolute value of a `double` type number:
+This example demonstrates using `Math.Abs()` in financial applications to calculate the magnitude of profit or loss, regardless of whether the value is positive or negative:
 
 ```codebyte/csharp
 using System;
 
-public class Example {
+public class FinancialLossCalculator
+{
+  public static void Main()
+  {
+    // Investment performance data
+    decimal[] monthlyReturns = { 150.75m, -89.50m, 245.30m, -175.25m, 95.60m };
+    string[] months = { "January", "February", "March", "April", "May" };
+
+    decimal totalAbsoluteChange = 0;
+
+    Console.WriteLine("Monthly Investment Performance:");
+    Console.WriteLine("Month\t\tReturn\t\tAbsolute Change");
+    Console.WriteLine("-----------------------------------------------");
 
-  public static void Main() {
-    double number = 299792458;
+    for (int i = 0; i < monthlyReturns.Length; i++)
+    {
+      decimal absoluteChange = Math.Abs(monthlyReturns[i]);
+      totalAbsoluteChange += absoluteChange;
 
-    Console.WriteLine("The absolute value of " + number + " is: " + Math.Abs(number));
+      string returnType = monthlyReturns[i] >= 0 ? "Profit" : "Loss";
+      Console.WriteLine($"{months[i]}\t\t${monthlyReturns[i]:F2}\t\t${absoluteChange:F2} ({returnType})");
+    }
+
+    Console.WriteLine("-----------------------------------------------");
+    Console.WriteLine($"Total Absolute Change: ${totalAbsoluteChange:F2}");
+    Console.WriteLine($"Average Absolute Change: ${totalAbsoluteChange / monthlyReturns.Length:F2}");
   }
 }
 ```
+
+## Frequently Asked Questions
+
+### 1. What happens if I pass a positive number to `Math.Abs()`?
+
+The method returns the same positive number unchanged. For example, `Math.Abs(5)` returns 5.
+
+### 2. Can `Math.Abs()` handle floating-point numbers?
+
+Yes, `Math.Abs()` supports all numeric types including `float`, `double`, and `decimal`. It preserves the data type of the input.
+
+### 3. What does `Math.Abs()` return for zero?
+
+`Math.Abs(0)` returns 0, as the absolute value of zero is zero.
+
+### 4. Can `Math.Abs()` cause overflow exceptions?
+
+Yes, with certain integer types like `Int32.MinValue`, calling `Math.Abs()` can throw an `OverflowException` because the absolute value exceeds the maximum positive value for that type.

From 94f9513d2616ee493fa0ac4a0d6f039243213f1d Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 23 Jul 2025 22:50:54 +0530
Subject: [PATCH 026/332] [Edit] C++: Math functions: sqrt() (#7270)

* [Edit] C++: Math functions: sqrt()

* Update sqrt.md

* Update content/cpp/concepts/math-functions/terms/sqrt/sqrt.md

* Update content/cpp/concepts/math-functions/terms/sqrt/sqrt.md

* Update content/cpp/concepts/math-functions/terms/sqrt/sqrt.md

---------
---
 .../math-functions/terms/sqrt/sqrt.md         | 118 +++++++++++++++---
 1 file changed, 99 insertions(+), 19 deletions(-)

diff --git a/content/cpp/concepts/math-functions/terms/sqrt/sqrt.md b/content/cpp/concepts/math-functions/terms/sqrt/sqrt.md
index 1101555c2df..dd51d86b3f8 100644
--- a/content/cpp/concepts/math-functions/terms/sqrt/sqrt.md
+++ b/content/cpp/concepts/math-functions/terms/sqrt/sqrt.md
@@ -1,59 +1,139 @@
 ---
 Title: 'sqrt()'
-Description: 'Returns square root of the argument.'
+Description: 'Returns the square root of a number in C++.'
 Subjects:
+  - 'Code Foundations'
   - 'Computer Science'
 Tags:
+  - 'Algorithms'
   - 'Functions'
-  - 'Arithmetic'
+  - 'Math'
 CatalogContent:
   - 'learn-c-plus-plus'
   - 'paths/computer-science'
 ---
 
-The **`sqrt()`** function returns the square root of the argument.
+C++ **`sqrt()`** function returns the square root of a number. This mathematical function is part of the C++ standard library and is defined in the `<cmath>` header file.
 
-## Syntax
+## Syntax of C++ `sqrt()`
 
 ```pseudo
-sqrt(x)
+sqrt(num)
 ```
 
-If the parameter `x` is negative (less than 0), then a domain error will occur.
+**Parameters:**
 
-## Example
+- `num`: A floating-point number (double, float, or long double) for which the square root is to be calculated
 
-The following example uses the `sqrt()` function to find the square root of `4`:
+**Return value:**
+
+The `sqrt()` function returns the square root of the given argument as a floating-point value. Its return type matches the type of the argument (e.g., float, double, or long double).
+
+> **Note:** If a negative argument is passed to `sqrt()`, a domain error occurs and the function returns `NaN` (Not a Number).
+
+## Example 1: Basic Usage of `sqrt()` function
+
+This example demonstrates the basic usage of the `sqrt()` function with different numerical values:
+
+```cpp
+#include <iostream>
+#include <cmath>
+using namespace std;
+
+int main() {
+  // Calculate square root of different numbers
+  cout << "Square root of 16: " << sqrt(16) << endl;
+  cout << "Square root of 25: " << sqrt(25) << endl;
+  cout << "Square root of 2: " << sqrt(2) << endl;
+  cout << "Square root of 100.5: " << sqrt(100.5) << endl;
+
+  return 0;
+}
+```
+
+This example results in the following output:
+
+```shell
+Square root of 16: 4
+Square root of 25: 5
+Square root of 2: 1.41421
+Square root of 100.5: 10.025
+```
+
+> **Note:** Output may vary slightly depending on platform-specific floating-point rounding.
+
+## Example 2: Distance Calculation using C++ `sqrt()`
+
+This example shows how `sqrt()` is used to calculate the distance between two points using the Pythagorean theorem:
 
 ```cpp
 #include <iostream>
 #include <cmath>
+using namespace std;
 
 int main() {
-  double x = 4;
-  double result;
+  // Calculate distance between two points (x1, y1) and (x2, y2)
+  double x1 = 1.0, y1 = 2.0;
+  double x2 = 4.0, y2 = 6.0;
+
+  // Apply distance formula: sqrt((x2-x1)^2 + (y2-y1)^2)
+  double distance = sqrt(pow(x2 - x1, 2) + pow(y2 - y1, 2));
 
-  result = std::sqrt(x);
+  cout << "Distance between points (" << x1 << ", " << y1 << ") and ("
+       << x2 << ", " << y2 << ") is: " << distance << endl;
 
-  std::cout << "The square root of " << x << " is " << result << "\n";
-  // Output: The square root of 4 is 2
+  return 0;
 }
 ```
 
-## Codebyte Example
+This example results in the following output:
 
-The following example is runnable and returns the square root of `9` with the `sqrt()` function:
+```shell
+Distance between points (1, 2) and (4, 6) is: 5
+```
+
+## Codebyte Example: Using `sqrt()` to Solve Quadratic Equation
+
+This example demonstrates using `sqrt()` to solve a quadratic equation using the quadratic formula:
 
 ```codebyte/cpp
 #include <iostream>
 #include <cmath>
+using namespace std;
 
 int main() {
-  double x = 9;
-  double result;
+  // Solve quadratic equation ax^2 + bx + c = 0
+  double a = 1.0, b = -5.0, c = 6.0;
+
+  // Calculate discriminant
+  double discriminant = b * b - 4 * a * c;
 
-  result = std::sqrt(x);
+  if (discriminant >= 0) {
+    // Calculate roots using quadratic formula
+    double root1 = (-b + sqrt(discriminant)) / (2 * a);
+    double root2 = (-b - sqrt(discriminant)) / (2 * a);
 
-  std::cout << "The square root of " << x << " is " << result << "\n";
+    cout << "For equation " << a << "x^2 + " << b << "x + " << c << " = 0" << endl;
+    cout << "Root 1: " << root1 << endl;
+    cout << "Root 2: " << root2 << endl;
+  } else {
+    cout << "No real roots exist for this equation." << endl;
+  }
+
+  return 0;
 }
 ```
+
+## Frequently Asked Questions
+
+### 1. What happens if I pass a negative number to `sqrt()`?
+
+Passing a negative number to `sqrt()` results in a domain error and returns `NaN` (Not a Number).
+
+### 2. What header file do I need to include to use `sqrt()`?
+
+You need to include the `<cmath>` header file to use the `sqrt()` function.
+
+### 3. What is the return type of the function `sqrt()` in C++?
+
+The `sqrt()` function returns a floating-point value of the same type as the input parameter. If you pass a float, it returns a float; if you pass a double, it returns a double, and if you pass a long double, it returns a long double.

From fc543834ff0d68b7a616febe4a55c5d8697d9baf Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Thu, 24 Jul 2025 17:03:48 +0530
Subject: [PATCH 027/332] [Edit] CSS Transform Functions: rotate() (#7344)

* [Edit] CSS Transform Functions: rotate()

* SEO changes

* content fixes

* Apply suggestions

---------
---
 .../terms/rotate/rotate.md                    | 115 +++++++++++++++---
 media/css-rotate-1.jpg                        | Bin 0 -> 9131 bytes
 media/css-rotate-2.gif                        | Bin 0 -> 90441 bytes
 media/css-rotate-3.gif                        | Bin 0 -> 48498 bytes
 4 files changed, 100 insertions(+), 15 deletions(-)
 create mode 100644 media/css-rotate-1.jpg
 create mode 100644 media/css-rotate-2.gif
 create mode 100644 media/css-rotate-3.gif

diff --git a/content/css/concepts/transform-functions/terms/rotate/rotate.md b/content/css/concepts/transform-functions/terms/rotate/rotate.md
index 12a616ffd5d..f8b9c7ec4fc 100644
--- a/content/css/concepts/transform-functions/terms/rotate/rotate.md
+++ b/content/css/concepts/transform-functions/terms/rotate/rotate.md
@@ -1,39 +1,124 @@
 ---
 Title: 'rotate()'
-Description: 'Rotates an element around a fixed point in a 2D space.'
+Description: 'Rotates an element around a fixed point by a specified angle.'
 Subjects:
-  - 'Web Development'
   - 'Web Design'
+  - 'Web Development'
 Tags:
+  - 'Elements'
   - 'Functions'
   - 'Positioning'
+  - 'Values'
 CatalogContent:
   - 'learn-css'
   - 'paths/front-end-engineer-career-path'
-  - 'paths/full-stack-engineer-career-path'
 ---
 
-The `rotate()` function rotates an element around a fixed point in a two-dimensional space.
+The CSS **`rotate()`** function rotates an element around a fixed point by a specified angle. This rotation can either be clockwise or anticlockwise and is commonly used in [animations](https://www.codecademy.com/resources/docs/css/animations), UI interactions, or creative web layouts.
 
-## Syntax
+## CSS `rotate()` Syntax
 
-```css
-transform: rotate(<angle>);
+```pseudo
+transform: rotate(angle);
 ```
 
-where a required `<angle>` can be one of the following:
+**Parameters:**
 
-- Degree value: `90deg`
-- Radian value: `0.78rad`
-- Gradian value: `200grad`
-- Turn value: `.25turn`
+- `angle`: Defines the degree of rotation. It accepts values in degrees (`deg`), radians (`rad`), gradians (`grad`), or turns (`turn`).
+  - Positive values = Clockwise rotation
+  - Negative values = Anticlockwise rotation
 
-## Example 1
+## Example 1: Basic Rotation in CSS Using `rotate()`
 
-Rotate image 45 degrees clockwise:
+In this example, the `.box` element is rotated 45 degrees clockwise from its original position using CSS `rotate()`, creating a diamond-like appearance:
 
 ```css
-.hero-image {
+.box {
+  width: 100px;
+  height: 100px;
+  background-color: coral;
   transform: rotate(45deg);
+  margin: 50px;
+}
+```
+
+Here is the output:
+
+![The CSS rotate() function rotates a box 45 degrees clockwise from its original position, creating a diamond-like appearance](https://raw.githubusercontent.com/Codecademy/docs/main/media/css-rotate-1.jpg)
+
+## Example 2: Using `rotate()` to Rotate on Hover
+
+When a user hovers on the `.box` element, it rotates 90 degrees, thanks to the smooth [transition](https://www.codecademy.com/resources/docs/css/transition) defined in the CSS:
+
+```css
+.box {
+  width: 100px;
+  height: 100px;
+  background-color: mediumseagreen;
+  transition: transform 0.3s ease-in-out;
+  margin: 50px;
+}
+
+.box:hover {
+  transform: rotate(90deg);
+}
+```
+
+Here is the output:
+
+![The CSS rotate() function rotates a box 90 degrees on hover](https://raw.githubusercontent.com/Codecademy/docs/main/media/css-rotate-2.gif)
+
+## Example 3: Continuous Rotation in CSS With the Help of `rotate()`
+
+This example creates a spinning loader by continuously rotating a styled circle using a CSS animation:
+
+```css
+.box {
+  width: 80px;
+  height: 80px;
+  margin: 50px;
+  border: 5px solid lightgray;
+  border-top: 5px solid steelblue;
+  border-radius: 50%;
+  animation: spin 2s linear infinite;
+}
+
+@keyframes spin {
+  from {
+    transform: rotate(0deg);
+  }
+  to {
+    transform: rotate(360deg);
+  }
 }
 ```
+
+Here is the output:
+
+![A spinning loader created using the CSS rotate() function](https://raw.githubusercontent.com/Codecademy/docs/main/media/css-rotate-3.gif)
+
+## Frequently Asked Questions
+
+### 1. Does CSS `rotate()` affect layout or just visual appearance?
+
+CSS `rotate()` is part of the `transform` property and only affects visual appearance. It doesn't change the element's position in the document flow.
+
+### 2. Can I combine CSS `rotate()` with other transform functions?
+
+Absolutely. You can combine CSS `rotate()` with other transform functions by separating them with a space:
+
+```css
+transform: scale(1.2) rotate(30deg) translateX(20px);
+```
+
+### 3. Is CSS `rotate()` supported across all browsers?
+
+Yes. Modern browsers like Chrome, Firefox, Safari, Edge, and even Internet Explorer 9+ support CSS `rotate()`.
+
+### 4. How to rotate 45 degrees in CSS?
+
+Here's how you can use CSS `rotate()` to rotate 45 degrees:
+
+```css
+transform: rotate(45deg);
+```
diff --git a/media/css-rotate-1.jpg b/media/css-rotate-1.jpg
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From d3416e80f7a877198c0a82cc0f36f1d544b8ecd6 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 25 Jul 2025 23:38:24 +0530
Subject: [PATCH 028/332] [Edit]: NumPy `.sort()` (#7224)

* [Edit]: NumPy `.sort()`

* fixed formatting

* added keywords

* Update sort.md

* Update content/numpy/concepts/built-in-functions/terms/sort/sort.md

* Update content/numpy/concepts/built-in-functions/terms/sort/sort.md

* Update content/numpy/concepts/built-in-functions/terms/sort/sort.md

* Update content/numpy/concepts/built-in-functions/terms/sort/sort.md

* Update content/numpy/concepts/built-in-functions/terms/sort/sort.md

* Update content/numpy/concepts/built-in-functions/terms/sort/sort.md

---------
---
 .../built-in-functions/terms/sort/sort.md     | 137 +++++++++++++-----
 1 file changed, 101 insertions(+), 36 deletions(-)

diff --git a/content/numpy/concepts/built-in-functions/terms/sort/sort.md b/content/numpy/concepts/built-in-functions/terms/sort/sort.md
index 87e8b86680d..4e1348f5e5d 100644
--- a/content/numpy/concepts/built-in-functions/terms/sort/sort.md
+++ b/content/numpy/concepts/built-in-functions/terms/sort/sort.md
@@ -1,6 +1,6 @@
 ---
 Title: '.sort()'
-Description: 'Sorts an array in ascending order along the specified axis and returns a sorted copy of the input array.'
+Description: 'Returns a sorted copy of an array in ascending order.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
@@ -8,72 +8,137 @@ Tags:
   - 'Arrays'
   - 'Functions'
   - 'NumPy'
+  - 'Sorting Algorithms'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/data-science'
 ---
 
-In NumPy, the **`.sort()`** function sorts the elements of an array or matrix along a specified axis. It returns a new array with elements sorted in ascending order, leaving the original array unchanged. Sorting can be performed along different axes (such as rows or columns in a 2D array), with the default being along the last axis (`axis=-1`).
+The **`numpy.sort()`** method is a built-in NumPy function that returns a sorted copy of an array. It arranges the elements of an array in ascending order without modifying the original array, making it a fundamental tool for data organization and analysis in scientific computing and data science applications.
 
-## Syntax
+## Syntax of `numpy.sort()`
 
 ```pseudo
 numpy.sort(a, axis=-1, kind=None, order=None)
 ```
 
-- `a`: The array of elements to be sorted.
-- `axis`: The axis along which to sort. If set to `None`, the array is flattened before sorting. The default is `-1`, which sorts along the last axis.
-- `kind`: The sorting algorithm to use. The options are:
-  - [`'quicksort'`](https://www.codecademy.com/resources/docs/general/algorithm/quick-sort): Default algorithm, a fast, comparison-based algorithm.
-  - [`'mergesort'`](https://www.codecademy.com/resources/docs/general/algorithm/merge-sort): Stable sort using a divide-and-conquer algorithm.
-  - [`'heapsort'`](https://www.codecademy.com/resources/docs/general/algorithm/heap-sort): A comparison-based sort using a heap.
-  - `'stable'`: A stable sorting algorithm, typically mergesort.
-- `order`: If `a` is a structured array, this specifies the field(s) to sort by. If not provided, sorting will be done based on the order of the fields in `a`.
+**Parameters:**
 
-## Example
+- `a`: The input array to be sorted
+- `axis`: The axis along which to sort. If `None`, the array is flattened before sorting. Default is `-1` (sorts along the last axis)
+- `kind`: Sorting algorithm. Options include [`'quicksort'`](https://www.codecademy.com/resources/docs/general/algorithm/quick-sort) (default), [`'mergesort'`](https://www.codecademy.com/resources/docs/general/algorithm/merge-sort), [`'heapsort'`](https://www.codecademy.com/resources/docs/general/algorithm/heap-sort), or `'stable'`
+- `order`: Specifies which fields to compare first when sorting structured arrays. Can be a string or list of strings
 
-The following example demonstrates how to use the `.sort()` function with various parameters:
+**Return value:**
+
+Returns a sorted copy of the input array with the same type and shape as the original array.
+
+## Example 1: Basic Array Sorting Using `numpy.sort()` Method
+
+The simplest use case of `.sort()` is sorting a one-dimensional array in ascending order:
 
 ```py
 import numpy as np
 
-arr = np.array([[3, 1, 2], [6, 4, 5]])
+# Create an array with unsorted numbers
+numbers = np.array([64, 34, 25, 12, 22, 11, 90])
+
+# Sort the array in ascending order
+sorted_numbers = np.sort(numbers)
 
-print(np.sort(arr))
-print(np.sort(arr, axis=0))
-print(np.sort(arr, axis=None))
+print("Original array:", numbers)
+print("Sorted array:", sorted_numbers)
 ```
 
-This example results in the following output:
+The output of this code is:
 
 ```shell
-[[1 2 3]
- [4 5 6]]
-[[3 1 2]
- [6 4 5]]
-[1 2 3 4 5 6]
+Original array: [64 34 25 12 22 11 90]
+Sorted array: [11 12 22 25 34 64 90]
 ```
 
-## Codebyte Example
+This example demonstrates the basic functionality of `.sort()` where it creates a new sorted array while leaving the original array unchanged. The method automatically arranges the elements from smallest to largest.
+
+## Example 2: Sorting Student Test Scores Using NumPy's `.sort()`
+
+This example shows how to sort student test scores to identify performance rankings and analyze grade distributions:
+
+```py
+import numpy as np
+
+# Student test scores from a class
+test_scores = np.array([85, 92, 78, 96, 88, 76, 91, 83, 87, 94])
+
+# Sort scores in ascending order
+sorted_scores = np.sort(test_scores)
+
+# Get the lowest and highest scores
+lowest_score = sorted_scores[0]
+highest_score = sorted_scores[-1]
+
+# Calculate median score (middle value)
+median_score = np.median(sorted_scores)
+
+print("Original scores:", test_scores)
+print("Sorted scores:", sorted_scores)
+print(f"Lowest score: {lowest_score}")
+print(f"Highest score: {highest_score}")
+print(f"Median score: {median_score}")
+```
 
-Run the following codebyte example to better understand the `.sort()` function:
+The output of this code is:
+
+```shell
+Original scores: [85 92 78 96 88 76 91 83 87 94]
+Sorted scores: [76 78 83 85 87 88 91 92 94 96]
+Lowest score: 76
+Highest score: 96
+Median score: 87
+```
+
+This example demonstrates how sorting test scores helps educators quickly identify the range of performance and calculate important statistics like median values.
+
+## Codebyte Example: Sorting Stock Prices by Date
+
+This example shows how to sort daily stock prices to analyze market trends and identify patterns over time:
 
 ```codebyte/python
 import numpy as np
 
-arr = np.array([[23, 54, 19], [45, 34, 12]])
+# Daily stock prices over two weeks (in dollars)
+stock_prices = np.array([125.50, 127.20, 123.80, 128.90, 131.45,
+                        129.70, 133.20, 130.15, 128.60, 132.80,
+                        134.90, 131.25, 129.40, 135.70])
 
-print("Original array:")
-print(arr)
+# Sort prices to analyze the range and distribution
+sorted_prices = np.sort(stock_prices)
 
-# Sort along axis 0 (sort by columns)
-print("\nSorted array along axis 0 (columns):")
-print(np.sort(arr, axis=0))
+# Find the price range
+price_range = sorted_prices[-1] - sorted_prices[0]
 
-# Sort along axis 1 (sort by rows)
-print("\nSorted array along axis 1 (rows):")
-print(np.sort(arr, axis=1))
+# Calculate quartiles for market analysis
+q1 = np.percentile(sorted_prices, 25)
+q3 = np.percentile(sorted_prices, 75)
 
-print("\nSorted array (flattened):")
-print(np.sort(arr, axis=None))
+print("Original prices:", stock_prices)
+print("Sorted prices:", sorted_prices)
+print(f"Price range: ${price_range:.2f}")
+print(f"First quartile (Q1): ${q1:.2f}")
+print(f"Third quartile (Q3): ${q3:.2f}")
 ```
+
+This example illustrates how sorting stock prices helps financial analysts understand market volatility and identify key price levels for investment decisions.
+
+## Frequently Asked Questions
+
+### 1. Does `.sort()` modify the original array?
+
+It depends which method you use: `numpy.sort(array)` returns a sorted copy without modifying the original, while `array.sort()` sorts the array in-place.
+
+### 2. Can I sort arrays in descending order?
+
+The `.sort()` method only sorts in ascending order. To get descending order, use `np.sort(array)[::-1]` to reverse the sorted array.
+
+### 3. Can I sort multidimensional arrays?
+
+Yes, use the axis parameter. `numpy.sort(array, axis=0)` sorts each column independently, while `numpy.sort(array, axis=1)` sorts each row independently.

From f438b8e83b261cf77fbca157b739d4027fc5a3cd Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 26 Jul 2025 01:58:09 +0530
Subject: [PATCH 029/332] [Edit] Python: NumPy: Built-in-function .percentile()
 (#7269)

* [Edit] Python: NumPy: Built-in-function .percentile()

* added keywords

* Update content/numpy/concepts/built-in-functions/terms/percentile/percentile.md

* Update content/numpy/concepts/built-in-functions/terms/percentile/percentile.md

* Update content/numpy/concepts/built-in-functions/terms/percentile/percentile.md

* Update content/numpy/concepts/built-in-functions/terms/percentile/percentile.md

---------
---
 .../terms/percentile/percentile.md            | 163 +++++++++++++-----
 1 file changed, 118 insertions(+), 45 deletions(-)

diff --git a/content/numpy/concepts/built-in-functions/terms/percentile/percentile.md b/content/numpy/concepts/built-in-functions/terms/percentile/percentile.md
index b16135b3ff0..14942281c80 100644
--- a/content/numpy/concepts/built-in-functions/terms/percentile/percentile.md
+++ b/content/numpy/concepts/built-in-functions/terms/percentile/percentile.md
@@ -1,88 +1,161 @@
 ---
 Title: '.percentile()'
-Description: 'Calculates the Xth percentile of the given data.'
+Description: 'Computes the q-th percentile of data along a specified axis.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Data Science'
 Tags:
   - 'Arrays'
-  - 'Data'
   - 'Functions'
-  - 'Methods'
   - 'NumPy'
+  - 'Statistics'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/data-science'
 ---
 
-The **`.percentile()`** function returns the Xth percentile of the given data along a specified axis. Percentiles are used in statistics to measure the distribution of data. The Xth percentile is the value below which X percent of the data falls. For example, the 95th percentile is the value greater than exactly 95 percent of the data.
+The **`np.percentile()`** is a built-in method of Numpy, a statistical measure that indicates the value below which a given percentage of observations in a dataset falls. NumPy's `.percentile()` function computes the q-th percentile of data along a specified axis, making it an essential tool for statistical analysis and data exploration.
 
-## Syntax
+## Syntax of NumPy `.percentile()`
 
 ```pseudo
-numpy.percentile(a, X, axis=None, out=None, overwrite_input=False, method='Linear', keepdims=False)
+numpy.percentile(a, q, axis=None, out=None, ...)
 ```
 
-Required Parameters:
+**Parameters:**
 
-- `a`: The input data from which the percentile is to be calculated.
-- `X`: The list of numbers representing the percentiles to be calculated.
+- `a`: Input array or object that can be converted to an array
+- `q`: Percentile or sequence of percentiles to compute. Values must be between 0 and 100 inclusive
+- `axis` (optional): Axis or axes along which the percentiles are computed. Default is `None` (flattened array)
+- `out` (optional): Alternative output array in which to place the result
 
-Optional Parameters:
+> **Note:** The ellipses in the syntax (`...`) indicate that there are more optional parameters available, such as `overwrite_input`, `method`, `keepdims`, and `weights``. These allow for more control over how the percentile is calculated and returned.
 
-- `axis`: The axis along which the percentile is to be calculated. If not specified, the percentile is calculated along a flattened version of `a`.
-- `out`: The output array that has the same shape as the output of the function.
-- `overwrite_input`: If `True`, this allows calculations to be performed on the input array, `a`.
-- `method`: Defines the method used to calculate the percentile. Other than 'Linear', it can be set to 'inverted_cdf', 'averaged_inverted_cdf', 'closest_observation', 'interpolated_inverted_cdf', 'hazen', 'weibull', 'median_unbiased' and 'normal_unbiased'.
-- `keepdims`: If `True`, the axes that are reduced when calculating the percentile are kept in the result with dimensions of size one.
+**Return value:**
 
-Returns:
+Returns the q-th percentile(s) of the array elements. If `q` is a single percentile, returns a scalar. If multiple percentiles are given, returns an array.
 
-- If `X` is a single value and `axis=None`, the function returns a single value representing the Xth percentile of all the values in `a`.
-- If `X` is an array, the function returns an array where each element contains a percentile corresponding to the values specified in `X`.
-- If `axis` is given, the function calculates the percentiles of the values along the specified axes.
+## Example 1: Basic Percentile Calculation Using `np.percentile()` Method
 
-## Example
-
-The following example creates an array and then uses `.percentile()` to calculate various percentiles from the data:
+This example demonstrates how to calculate a single percentile from a one-dimensional array:
 
 ```py
 import numpy as np
 
-a = np.array([[1,2,3],[4,5,6]])
+# Create a sample array
+data = np.array([1, 3, 5, 7, 9, 11, 13, 15, 17, 19])
+
+# Calculate the 50th percentile (median)
+result = np.percentile(data, 50)
+print(f"50th percentile: {result}")
+
+# Calculate multiple percentiles
+quartiles = np.percentile(data, [25, 50, 75])
+print(f"Quartiles: {quartiles}")
+```
+
+The output of this code is:
+
+```shell
+50th percentile: 10.0
+Quartiles: [ 5.5 10.  14.5]
+```
+
+The 50th percentile represents the median value, which is the middle value when the data is sorted. The function returns `10.0` as the median, and `[5.5, 10.0, 14.5]` for the quartiles.
+
+## Example 2: Analyzing Test Score Distribution Using NumPy's `.percentile()`
+
+This example shows how to use `.percentile()` to analyze student test scores and understand performance distribution:
+
+```py
+import numpy as np
 
-print(np.percentile(a,50))
-print(np.percentile(a,50,axis=0))
-print(np.percentile(a,[50,75]))
-print(np.percentile(a,[50,75],axis=1))
+# Student test scores from multiple classes
+test_scores = np.array([
+    [85, 92, 78, 95, 88],  # Class 1
+    [72, 85, 90, 67, 82],  # Class 2
+    [95, 89, 91, 87, 93],  # Class 3
+    [68, 75, 80, 72, 77]   # Class 4
+])
+
+# Calculate percentiles for overall performance
+overall_scores = test_scores.flatten()
+performance_metrics = np.percentile(overall_scores, [10, 25, 50, 75, 90])
+
+print("Performance Distribution:")
+print(f"10th percentile (bottom 10%): {performance_metrics[0]}")
+print(f"25th percentile (Q1): {performance_metrics[1]}")
+print(f"Median (Q2): {performance_metrics[2]}")
+print(f"75th percentile (Q3): {performance_metrics[3]}")
+print(f"90th percentile (top 10%): {performance_metrics[4]}")
+
+# Calculate median score for each class
+class_medians = np.percentile(test_scores, 50, axis=1)
+print(f"\nMedian scores by class: {class_medians}")
 ```
 
-This prints the following output:
+The output of this code is:
 
 ```shell
-3.5
-[2.5 3.5 4.5]
-[3.5  4.75]
-[[2.  5. ]
- [2.5 5.5]]
+Performance Distribution:
+10th percentile (bottom 10%): 71.6
+25th percentile (Q1): 76.5
+Median (Q2): 85.0
+75th percentile (Q3): 90.25
+90th percentile (top 10%): 93.2
+
+Median scores by class: [88. 82. 91. 75.]
 ```
 
-## Codebyte Example
+This analysis helps identify performance ranges and compare different classes. The overall percentiles show the distribution of all scores, while the class-specific medians reveal which classes perform better on average.
 
-The following example calculates different percentile values for the given array, `a`:
+## Codebyte Example: Using `np.percentile()` for Financial Data Analysis
+
+This example demonstrates using `.percentile()` for financial risk analysis with stock price data:
 
 ```codebyte/python
 import numpy as np
 
-a = np.array([[1,2,3],[4,5,6]])
+# Simulated daily stock returns (as percentages)
+np.random.seed(42)  # For reproducible results
+stock_returns = np.random.normal(0.05, 0.15, 252)  # 252 trading days
+
+# Calculate Value at Risk (VaR) using percentiles
+var_95 = np.percentile(stock_returns, 5)  # 5th percentile for 95% VaR
+var_99 = np.percentile(stock_returns, 1)  # 1st percentile for 99% VaR
 
-percentile_50 = np.percentile(a,50)
-percentile_75_row = np.percentile(a,75,axis=1)
-percentile_75_column = np.percentile(a,75,axis=0)
-percentile_multiple = np.percentile(a,[50,75,90])
+print("Risk Analysis:")
+print(f"95% VaR: {var_95:.4f} (95% chance losses won't exceed this)")
+print(f"99% VaR: {var_99:.4f} (99% chance losses won't exceed this)")
 
-print("The 50th percentile of all the data is:", percentile_50)
-print("The 75th percentile along each row is:", percentile_75_row)
-print("The 75th percentile along each column is:", percentile_75_column)
-print("The 50th, 75th and 90th percentiles are:", percentile_multiple)
+# Calculate performance quartiles
+quartiles = np.percentile(stock_returns, [25, 50, 75])
+print(f"\nReturn Distribution:")
+print(f"Q1 (25th percentile): {quartiles[0]:.4f}")
+print(f"Median return: {quartiles[1]:.4f}")
+print(f"Q3 (75th percentile): {quartiles[2]:.4f}")
+
+# Identify extreme performance days
+top_5_percent = np.percentile(stock_returns, 95)
+bottom_5_percent = np.percentile(stock_returns, 5)
+
+print(f"\nExtreme Performance Thresholds:")
+print(f"Top 5% days: Returns above {top_5_percent:.4f}")
+print(f"Bottom 5% days: Returns below {bottom_5_percent:.4f}")
 ```
+
+This financial analysis uses percentiles to calculate Value at Risk (VaR), which helps investors understand potential losses, and to identify extreme performance periods in the stock's history.
+
+## Frequently Asked Questions
+
+### 1. What's the difference between `.percentile()` and `.quantile()`?
+
+`.percentile()` uses values from 0-100, while `.quantile()` uses values from 0-1. For example, `percentile(data, 25)` equals `quantile(data, 0.25)`.
+
+### 2. How do I handle NaN values in my data?
+
+Use `np.nanpercentile()` instead of `np.percentile()` to automatically ignore NaN values in your calculations.
+
+### 3. Can I calculate percentiles along specific axes in multi-dimensional arrays?
+
+Yes, use the `axis` parameter. For example, `axis=0` calculates percentiles along rows, `axis=1` along columns, and `axis=None` (default) flattens the array first.

From 3dc9f000ae906c599e160d9cd97680779018f1d3 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 26 Jul 2025 16:32:08 +0530
Subject: [PATCH 030/332] [Edit] Java: Strings: .valueOf() (#7276)

* [Edit] Java: Strings: .valueOf()

* added keywords

* Update content/java/concepts/strings/terms/valueOf/valueOf.md

* Update content/java/concepts/strings/terms/valueOf/valueOf.md

* Update content/java/concepts/strings/terms/valueOf/valueOf.md

* Format + Lint

---------
---
 .../concepts/strings/terms/valueOf/valueOf.md | 184 ++++++++++++++----
 1 file changed, 146 insertions(+), 38 deletions(-)

diff --git a/content/java/concepts/strings/terms/valueOf/valueOf.md b/content/java/concepts/strings/terms/valueOf/valueOf.md
index 7600519b05f..8cd28223bc5 100644
--- a/content/java/concepts/strings/terms/valueOf/valueOf.md
+++ b/content/java/concepts/strings/terms/valueOf/valueOf.md
@@ -1,68 +1,176 @@
 ---
 Title: '.valueOf()'
-Description: 'Returns the string representation of a given value.'
+Description: 'Converts various data types to their string representations in Java'
 Subjects:
   - 'Computer Science'
+  - 'Web Development'
 Tags:
-  - 'Strings'
+  - 'Data Types'
   - 'Methods'
+  - 'Strings'
 CatalogContent:
   - 'learn-java'
   - 'paths/computer-science'
 ---
 
-The **`.valueOf()`** method returns the string representation of a given value.
+Java's **`.valueOf`()** method of the [String](https://www.codecademy.com/resources/docs/java/strings) class converts various [data types](https://www.codecademy.com/resources/docs/java/data-types) like integers, floats, booleans, and objects into their string representations. This helps with string manipulation, logging, and displaying data in a readable format.
 
-## Syntax
+## Syntax of Java `.valueOf()`
 
 ```pseudo
-String.valueOf(value)
+public static String valueOf(int i)
+public static String valueOf(long l)
+public static String valueOf(float f)
+public static String valueOf(double d)
+public static String valueOf(boolean b)
+public static String valueOf(char c)
+public static String valueOf(char[] data)
+public static String valueOf(char[] data, int offset, int count)
+public static String valueOf(Object obj)
+```
+
+**Parameters:**
+
+- `i`: The integer value to be converted to a string
+- `l`: The long value to be converted to a string
+- `f`: The float value to be converted to a string
+- `d`: The double value to be converted to a string
+- `b`: The boolean value to be converted to a string
+- `c`: The char value to be converted to a string
+- `data`: The character array to be converted to a string
+- `offset`: The starting index in the character array
+- `count`: The number of characters to include from the array
+- `obj`: The object to be converted to a string
+
+**Return value:**
+
+The method returns a string that represents the input data. If the input is `null`, it returns the text "null".
+
+## Example 1: Basic Integer Conversion Using `.valueOf()` in Java
+
+This example demonstrates the basic usage of `.valueOf()` to convert an integer to a string representation:
+
+```java
+public class ValueOfExample {
+  public static void main(String[] args) {
+    // Declare an integer
+    int number = 42;
+
+    // Convert integer to string using valueOf()
+    String result = String.valueOf(number);
+
+    // Display the result
+    System.out.println("Integer value: " + number);
+    System.out.println("String representation: " + result);
+    System.out.println("Data type: " + result.getClass().getSimpleName());
+  }
+}
+```
+
+The output produced by this code is:
+
+```shell
+Integer value: 42
+String representation: 42
+Data type: String
+```
+
+The code converts the integer `42` to its string representation `"42"`. This is useful when there is a need to display numeric values in user interfaces or concatenate them with other strings.
+
+## Example 2: Using `.valueOf()` for User Input Processing
+
+This example shows how `.valueOf()` can be used in a real-world scenario where user input needs to be processed and formatted for display:
+
+```java
+public class UserDataProcessor {
+  public static void main(String[] args) {
+    // Simulate user data from a form
+    String userName = "Alice";
+    int userAge = 25;
+    double userSalary = 75000.50;
+    boolean isActive = true;
+
+    // Convert all data to strings for report generation
+    String ageStr = String.valueOf(userAge);
+    String salaryStr = String.valueOf(userSalary);
+    String statusStr = String.valueOf(isActive);
+
+    // Create formatted user report
+    String userReport = "User Profile:\n" +
+                       "Name: " + userName + "\n" +
+                       "Age: " + ageStr + " years\n" +
+                       "Salary: $" + salaryStr + "\n" +
+                       "Status: " + statusStr;
+
+    System.out.println(userReport);
+  }
+}
 ```
 
-The `.valueOf()` method is static and is called directly from the `String` class.
+The output produced by this code is:
 
-The `value` parameter can be one of the following [data types](https://www.codecademy.com/resources/docs/java/data-types):
+```shell
+User Profile:
+Name: Alice
+Age: 25 years
+Salary: $75000.5
+Status: true
+```
 
-- `int`
-- `long`
-- `float`
-- `double`
-- `boolean`
-- `char`
+This example demonstrates converting multiple data types to strings for creating a formatted user report, which is common in business applications.
 
-## Example
+## Example 3: Database Query Builder using `.valueOf()`
 
-The following is an example of the `.valueOf()` method being applied to values of different data types:
+This example illustrates using `.valueOf()` in a practical scenario where dynamic SQL queries are constructed using different data types:
 
 ```java
-// Main.java
-public class Main {
+public class QueryBuilder {
   public static void main(String[] args) {
-    // Concatenating an integer with string
-    int x = 20;
-    String str = "22";
-    System.out.println(String.valueOf(x) + str);
-
-    // String representation of boolean argument
-    boolean b = true;
-    System.out.println(String.valueOf(b));
-
-    // Concatenating string with float
-    float f = 4.66f;
-    System.out.println(str + String.valueOf(f));
-
-    // Char to String
-    char ch = 'A';
-    System.out.println(String.valueOf(ch));
+    // Database query parameters
+    int userId = 1001;
+    double minSalary = 50000.0;
+    boolean isActive = true;
+    char department = 'A';
+
+    // Build dynamic SQL query using valueOf()
+    String query = "SELECT * FROM employees WHERE " +
+                  "user_id = " + String.valueOf(userId) + " AND " +
+                  "salary >= " + String.valueOf(minSalary) + " AND " +
+                  "active = " + String.valueOf(isActive) + " AND " +
+                  "department = '" + String.valueOf(department) + "'";
+
+    System.out.println("Generated SQL Query:");
+    System.out.println(query);
+
+    // Demonstrate null handling
+    Object nullValue = null;
+    String nullResult = String.valueOf(nullValue);
+    System.out.println("\nNull value conversion: " + nullResult);
   }
 }
 ```
 
-This will produce the following output:
+The output generated by this code is:
 
 ```shell
-2022
-true
-224.66
-A
+Generated SQL Query:
+SELECT * FROM employees WHERE user_id = 1001 AND salary >= 50000.0 AND active = true AND department = 'A'
+
+Null value conversion: null
 ```
+
+This example shows how `.valueOf()` can be used to build dynamic database queries by converting various parameter types to strings, including proper null handling.
+
+## Frequently Asked Questions
+
+### 1. What is the difference between `.toString()` and `.valueOf()` in Java?
+
+The main difference is that `.toString()` is an instance method that can be called on objects, while `.valueOf()` is a static method of the String class. Additionally, `.valueOf()` can handle `null` values safely by returning "null", whereas calling `.toString()` on a `null` object throws a `NullPointerException`.
+
+### 2. Can `.valueOf()` handle null values?
+
+Yes, `String.valueOf()` can safely handle `null` values. When you pass a `null` object to `.valueOf()`, it returns the string "null" instead of throwing an exception.
+
+### 3. Can `.valueOf()` be used with arrays?
+
+Yes, `.valueOf()` has overloaded methods for character arrays. For `char[]`, it converts the entire array to a string. For other array types passed as `Object`, it calls the array's `toString()` method, which typically returns the array's memory address.

From 573d8de992783b599a467a6fac3cc34e44082223 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 26 Jul 2025 16:54:25 +0530
Subject: [PATCH 031/332] [Edit] JavaScript:date: .setTime() (#7277)

* [Edit] JavaScript:date: .setTime()

* added keywords

* Update content/javascript/concepts/dates/terms/setTime/setTime.md

* Update content/javascript/concepts/dates/terms/setTime/setTime.md

* Changes

* Update content/javascript/concepts/dates/terms/setTime/setTime.md

* Update content/javascript/concepts/dates/terms/setTime/setTime.md

* Update content/javascript/concepts/dates/terms/setTime/setTime.md

* Update content/javascript/concepts/dates/terms/setTime/setTime.md

* Update content/javascript/concepts/dates/terms/setTime/setTime.md

* Update content/javascript/concepts/dates/terms/setTime/setTime.md

---------
---
 .../concepts/dates/terms/setTime/setTime.md   | 133 ++++++++++++++++--
 1 file changed, 121 insertions(+), 12 deletions(-)

diff --git a/content/javascript/concepts/dates/terms/setTime/setTime.md b/content/javascript/concepts/dates/terms/setTime/setTime.md
index 0af6fdcb847..c8d12d6b33c 100644
--- a/content/javascript/concepts/dates/terms/setTime/setTime.md
+++ b/content/javascript/concepts/dates/terms/setTime/setTime.md
@@ -1,39 +1,148 @@
 ---
 Title: '.setTime()'
-Description: 'Sets the date and time by adding or subtracting a specified number of milliseconds to/from midnight January 1, 1970.'
+Description: 'Sets the time value of a Date object using milliseconds since January 1, 1970 UTC'
 Subjects:
+  - 'Computer Science'
   - 'Web Development'
 Tags:
   - 'Date'
+  - 'JavaScript'
   - 'Methods'
+  - 'Time'
 CatalogContent:
-  - 'paths/web-development'
   - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
 ---
 
-The **`.setTime()`** method sets the date and time by adding or subtracting a specified number of milliseconds to/from midnight January 1, 1970.
+The **`.setTime()`** method is a built-in JavaScript method that sets the time value of a `Date` object using milliseconds since the Unix epoch (January 1, 1970, 00:00:00 UTC). This method allows developers to programmatically modify the date and time represented by a `Date` object by specifying the exact number of milliseconds from the reference point.
 
-## Syntax
+## Syntax of JavaScript `.setTime()`
 
 ```pseudo
-myDate.setTime(millisec)
+date.setTime(milliseconds)
 ```
 
-The returned value from `.setTime()` is a value representing the number of milliseconds since the 1st of January 1970.
+**Parameters:**
 
-## Example
+- `milliseconds`: A number representing the time value in milliseconds since January 1, 1970, 00:00:00 UTC. This can be a positive or negative integer.
 
-In the example below, the `myDate` is declared and then the `.setTime()` method is applied to return a modified time.
+**Return value:**
+
+The `.setTime()` method returns the new timestamp value (in milliseconds) after setting the time. The method modifies the original `Date` object in place and returns the same millisecond value that was passed as the parameter.
+
+## Example 1: Basic Usage of `.setTime()` method
+
+This example demonstrates the fundamental usage of `.setTime()` by setting a `Date` object to a specific timestamp:
 
 ```js
+// Create a new Date object
 const myDate = new Date();
-myDate.setTime(1623918645000);
 
-console.log(myDate.toString());
+// Set the time to January 1, 2023, 12:00:00 UTC (1672574400000 milliseconds)
+const timestamp = myDate.setTime(1672574400000);
+
+// Display the results
+console.log('Updated date:', myDate);
+console.log('Returned timestamp:', timestamp);
+```
+
+This example results in the following output:
+
+```shell
+Updated date: 2023-01-01T12:00:00.000Z
+Returned timestamp: 1672574400000
+```
+
+The Date object `myDate` is updated to represent January 1, 2023, at 12:00:00 UTC, and the method returns the timestamp value that was set.
+
+## Example 2: Time Calculations `.setTime()`
+
+This example shows how `.setTime()` can be used for time arithmetic and creating dates based on timestamp calculations:
+
+```js
+// Get current time in milliseconds
+const currentTime = Date.now();
+
+// Create base date object
+const baseDate = new Date();
+baseDate.setTime(currentTime);
+
+// Add 24 hours (86400000 milliseconds) to create tomorrow's date
+const tomorrowTime = currentTime + 86400000;
+const tomorrowDate = new Date();
+tomorrowDate.setTime(tomorrowTime);
+
+// Add 7 days (604800000 milliseconds) for next week
+const nextWeekTime = currentTime + 604800000;
+const nextWeekDate = new Date();
+nextWeekDate.setTime(nextWeekTime);
+
+console.log('Current time:', baseDate.toISOString());
+console.log('Tomorrow time:', tomorrowDate.toISOString());
+console.log('Next week time:', nextWeekDate.toISOString());
+console.log(
+  'Time difference (hours):',
+  (tomorrowTime - currentTime) / (1000 * 60 * 60)
+);
 ```
 
-This results in the following output:
+This example results in the following output:
 
 ```shell
-Sun Jun 17 2021 12:30:45 GMT+0000 (Coordinated Universal Time)
+Current time: 2025-07-26T11:09:18.928Z
+Tomorrow time: 2025-07-27T11:09:18.928Z
+Next week time: 2025-08-02T11:09:18.928Z
+Time difference (hours): 24
 ```
+
+> **Note:** Since this example uses `Date.now()` to get the current time, the output will vary depending on when the code is executed. The dates shown above are examples based on a specific runtime.
+
+This demonstrates how `.setTime()` enables precise time calculations by working with millisecond timestamps to create dates at specific intervals.
+
+## Codebyte Example: Database Timestamp Processing With the Help of `.setTime()`
+
+This example illustrates a real-world scenario where `.setTime()` is used to process timestamps from a database and convert them to JavaScript `Date` objects:
+
+```codebyte/javascript
+// Simulated database records with Unix timestamps
+const databaseRecords = [
+  { id: 1, event: 'User Registration', timestamp: 1672574400000 },
+  { id: 2, event: 'Purchase Made', timestamp: 1672660800000 },
+  { id: 3, event: 'Account Updated', timestamp: 1672747200000 }
+];
+
+// Process records and convert timestamps to Date objects
+const processedRecords = databaseRecords.map(record => {
+  const eventDate = new Date();
+  eventDate.setTime(record.timestamp);
+
+  return {
+    id: record.id,
+    event: record.event,
+    date: eventDate.toLocaleDateString(),
+    time: eventDate.toLocaleTimeString(),
+    fullDate: eventDate
+  };
+});
+
+// Display processed records
+processedRecords.forEach(record => {
+  console.log(`Event ${record.id}: ${record.event} on ${record.date} at ${record.time}`);
+});
+```
+
+This pattern is commonly used in web applications when processing timestamp data from databases, APIs, or log files, where the `.setTime()` method provides a reliable way to create Date objects from millisecond values.
+
+## Frequently Asked Questions
+
+### 1. What happens if I pass a negative number to `.setTime()`?
+
+The method accepts negative numbers, which represent dates before January 1, 1970. For example, `-86400000` represents December 31, 1969.
+
+### 2. Does `.setTime()` modify the original Date object?
+
+Yes, `.setTime()` modifies the `Date` object in place. If you need to preserve the original date, create a copy first using `new Date(originalDate)`.
+
+### 3. What's the difference between `.setTime()` and setting individual date components?
+
+`.setTime()` sets the entire date and time in one operation using milliseconds, while methods like `.setFullYear()` or `.setMonth()` modify specific components. `.setTime()` is more efficient for setting complete timestamps.

From c38438a0fd101a581ea1ab1c5af7fe98a6a61d4d Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 26 Jul 2025 16:56:25 +0530
Subject: [PATCH 032/332] [Edit] Python: strings: .find() (#7259)

* [Edit] Python: strings: .find()

* added keywords

* Update find.md

* Update content/python/concepts/strings/terms/find/find.md

* Update content/python/concepts/strings/terms/find/find.md

---------
---
 .../concepts/strings/terms/find/find.md       | 190 ++++++++++++------
 1 file changed, 129 insertions(+), 61 deletions(-)

diff --git a/content/python/concepts/strings/terms/find/find.md b/content/python/concepts/strings/terms/find/find.md
index fedc93feb22..cf8336251c8 100644
--- a/content/python/concepts/strings/terms/find/find.md
+++ b/content/python/concepts/strings/terms/find/find.md
@@ -1,101 +1,169 @@
 ---
-Title: .find()
-Description: 'Takes in a substring (and optionally start/end index), return the index number of the first occurrence of the substring inside a string.'
+Title: '.find()'
+Description: 'Returns the index of the first occurrence of a substring within a string.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
-  - 'Strings'
-  - 'Methods'
   - 'Functions'
+  - 'Methods'
+  - 'Python'
+  - 'Strings'
 CatalogContent:
   - 'learn-python-3'
-  - 'paths/analyze-data-with-python'
+  - 'paths/computer-science'
 ---
 
-The `.find()` string method takes in a substring (and optionally start/end index), returns the index number of the first occurrence of the substring inside a string. It is case sensitive.
-
-If the substring is not found, returns `-1`.
+Python's **`.find()`** method is a built-in [string](https://www.codecademy.com/resources/docs/python/strings) method that searches for a specified substring within a string and returns the index of the first occurrence. This method provides a simple and efficient way to locate text within strings, making it essential for text processing, data validation, and string manipulation tasks.
 
-## Syntax
+## Syntax of Python's `.find()` method
 
-```py
+```pseudo
 string.find(substring, start, end)
 ```
 
-- `substring`: The substring to look for.
-- `start` (optional): The starting index of the string to begin the search.
-- `end` (optional): The starting index of the string to end the search.
+**Parameters:**
 
-If `start` and `end` index are not specified, it will default to searching the substring in the whole string. So by default, `start = 0` and `end = len(string)`.
+- `substring`: The substring to search for within the main string
+- `start` (optional): The starting index from where to begin the search (default is 0)
+- `end` (optional): The ending index where the search should stop (default is the length of the string)
 
-## Example 1
+**Return value:**
 
-Use `.find()` without specifying the `start` and `end` index:
+The `.find()` method returns an integer value:
+
+- Returns the index of the first occurrence of the substring if found
+- Returns `-1` if the substring is not found in the string
+
+## Example 1: Basic String Search Using Python's `.find()`
+
+This example demonstrates the fundamental usage of the `.find()` method to locate a substring within a string:
 
 ```py
-new_string = "I like to eat potato"
+# Search for a word in a sentence
+message = "Python is a powerful programming language"
+
+# Find the index of "powerful"
+index = message.find("powerful")
+print(f"The word 'powerful' starts at index: {index}")
+
+# Find a substring that doesn't exist
+missing_index = message.find("Java")
+print(f"The word 'Java' index: {missing_index}")
+
+# Check if a substring exists using find()
+if message.find("Python") != -1:
+  print("Python is mentioned in the message")
+else:
+  print("Python is not mentioned in the message")
+```
 
-like_result = new_string.find("like")
-drink_result = new_string.find("drink")
-to_result = new_string.find("to")
+This example results in the following output:
 
-print(like_result)   # Output: 2
-print(drink_result)  # Output: -1
-print(to_result)     # Output: 7
+```shell
+The word 'powerful' starts at index: 12
+The word 'Java' index: -1
+Python is mentioned in the message
 ```
 
-- `like` is found at index 2 of the `new_string` string.
-- `drink` is not found in the `new_string` string, so it's -1.
-- `to` is found at two places in the `new_string` string, but `.find()` returns the first occurrence, instead of the other occurrence at index 18.
+The method successfully finds "powerful" at index 12, returns -1 for the non-existent "Java", and demonstrates how to use `.find()` in conditional statements to check for substring presence.
 
-## Example 2
+## Example 2: Email Validation Check Using `.find()` Method
 
-Use `.find()` with only the `start` index specified:
+This example shows how to use `.find()` for practical email validation by checking for the presence of the "@" symbol:
 
 ```py
-new_string = "I like to eat potato"
+# Email validation using find() method
+def validate_email(email):
+  # Check if @ symbol exists
+  at_index = email.find("@")
+
+  if at_index == -1:
+    return False, "Missing @ symbol"
 
-like_2_result = new_string.find("like", 2)
-like_4_result = new_string.find("like", 4)
-to_5_result = new_string.find("to", 5)
-to_10_result = new_string.find("to", 10)
+  # Check if @ is not at the beginning or end
+  if at_index == 0 or at_index == len(email) - 1:
+    return False, "@ symbol cannot be at the beginning or end"
 
-print(like_2_result)  # Output: 2
-print(like_4_result)  # Output: -1
-print(to_5_result)    # Output: 7
-print(to_10_result)   # Output: 18
+  # Check for domain part (simple check for a dot after @)
+  domain_part = email[at_index + 1:]
+  if domain_part.find(".") == -1:
+    return False, "Missing domain extension"
+
+  return True, "Valid email format"
+
+# Test email validation
+emails = ["user@example.com", "invalid-email", "@example.com", "user@com"]
+
+for email in emails:
+  is_valid, message = validate_email(email)
+  print(f"{email}: {message}")
+```
+
+This example results in the following output:
+
+```shell
+user@example.com: Valid email format
+invalid-email: Missing @ symbol
+@example.com: @ symbol cannot be at the beginning or end
+user@com: Missing domain extension
 ```
 
-- If index starts on 2 ("l" in "like"), `like` is found at index 2.
-- If index starts on 4 ("k" in "like"), `like` is not found, so it's -1.
-- If index starts on 5 ("e" in "like"), `to` is found at two places in the `new_string` string, but `.find()` returns the first occurrence, instead of the other occurrence at index 18.
-- If index starts on 10 ("e" in "eat"), `to` is found at index 18.
+This demonstrates how `.find()` can be used for input validation by checking the position and presence of specific characters in user-provided data.
 
-## Codebyte Example
+## Codebyte Example: Using Python's `.find()` to Log File Analysis
 
-Use `.find()` with the `start` and `end` index specified:
+This example illustrates using `.find()` with optional parameters to analyze log entries and extract specific information:
 
 ```codebyte/python
-new_string = "I like to eat potato"
+# Log file analysis using find() with start and end parameters
+log_entries = [
+  "2024-01-15 ERROR: Database connection failed",
+  "2024-01-15 INFO: User login successful",
+  "2024-01-15 WARNING: High memory usage detected",
+  "2024-01-15 ERROR: File not found exception"
+]
+
+def extract_log_info(log_entry):
+  # Find the log level (after the date)
+  date_end = log_entry.find(" ", 10)  # Find space after date
+
+  if date_end != -1:
+    # Search for log level starting after the date
+    level_start = date_end + 1
+    colon_index = log_entry.find(":", level_start)
+
+    if colon_index != -1:
+      log_level = log_entry[level_start:colon_index]
+      message = log_entry[colon_index + 2:]  # Skip ": "
+      return log_level, message
+
+  return "UNKNOWN", log_entry
+
+# Process log entries
+error_count = 0
+for entry in log_entries:
+  level, message = extract_log_info(entry)
+  print(f"Level: {level}, Message: {message}")
+
+  if level == "ERROR":
+    error_count += 1
+
+print(f"\nTotal errors found: {error_count}")
+```
 
-like_2_length_result = new_string.find("like", 2, len(new_string))
-like_4_length_result = new_string.find("like", 4, len(new_string))
-like_0_3_result = new_string.find("like", 0, 3)
-like_0_15_result = new_string.find("like", 0, 15)
-like_0_last3_result = new_string.find("like", 0, -3)
+This example shows how `.find()` can be combined with string slicing to parse structured text data and extract meaningful information for further processing.
 
-print(like_2_length_result)
-print(like_4_length_result)
-print(like_0_3_result)
-print(like_0_15_result)
-print(like_0_last3_result)
+## Frequently Asked Questions
 
-print("")
+### 1. What's the difference between `.find()` and `.index()` methods?
 
-to_0_length_result = new_string.find("to", 0, len(new_string))
-to_15_length_result = new_string.find("to", 15, len(new_string))
+Both methods locate substrings, but `.find()` returns -1 when the substring is not found, while `.index()` raises a ValueError exception. Use `.find()` when you want to handle missing substrings gracefully.
 
-print(to_0_length_result)
-print(to_15_length_result)
-```
+### 2. Is the `.find()` method case-sensitive?
+
+Yes, `.find()` is case-sensitive. "Python" and "python" are treated as different strings. For case-insensitive searches, use `.lower()` or `.upper()` on both strings.
+
+### 3. How do I find all occurrences of a substring?
+
+Use `.find()` in a loop, updating the start parameter each time to search beyond the previous match, or consider using regular expressions for more complex pattern matching.

From a87f66bc47e267c1b402d04fe5fa340b9f6f2e01 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 26 Jul 2025 17:01:54 +0530
Subject: [PATCH 033/332] [Edit]: Python time `.sleep()` (#7223)

* [Edit]: Python time `.sleep()`

* added keywords

* Update sleep.md

* Update content/python/concepts/time-module/terms/sleep/sleep.md

* Update content/python/concepts/time-module/terms/sleep/sleep.md

* Update content/python/concepts/time-module/terms/sleep/sleep.md

---------
---
 .../concepts/time-module/terms/sleep/sleep.md | 117 +++++++++++++++---
 1 file changed, 98 insertions(+), 19 deletions(-)

diff --git a/content/python/concepts/time-module/terms/sleep/sleep.md b/content/python/concepts/time-module/terms/sleep/sleep.md
index c3022077cb3..2533b29b6cf 100644
--- a/content/python/concepts/time-module/terms/sleep/sleep.md
+++ b/content/python/concepts/time-module/terms/sleep/sleep.md
@@ -1,53 +1,132 @@
 ---
-Title: '.sleep()'
-Description: 'Suspends execution of the current thread for a given time.'
+Title: 'sleep()'
+Description: 'Suspends execution of the current thread for a specified number of seconds'
 Subjects:
   - 'Computer Science'
+  - 'Data Science'
 Tags:
+  - 'Control Flow'
   - 'Functions'
+  - 'Methods'
   - 'Time'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-The **.sleep()** method suspends execution of the current [thread](https://www.codecademy.com/resources/docs/python/threading) for a given period of time in seconds.
+The **`time.sleep()`** Python method suspends the execution of the current [thread](https://www.codecademy.com/resources/docs/python/threading) for a specified number of seconds. This function temporarily pauses program execution, allowing other processes to run or creating deliberate delays in code execution.
 
-## Syntax
+## Syntax of `time.sleep()`
 
 ```pseudo
-time.sleep(duration)
+time.sleep(seconds)
 ```
 
-The `duration` parameter is given in seconds, and suspends/delays execution of the thread.
+**Parameters:**
 
-## Example
+- `seconds`: A positive number (integer or float) representing the number of seconds to pause execution. Float values allow for sub-second precision.
 
-The following example will delay execution of the next [`print()`](https://www.codecademy.com/resources/docs/python/built-in-functions/print) statement by 2.4 seconds:
+**Return value:**
+
+The `time.sleep()` method does not return any value (returns `None`).
+
+## Example 1: Basic Sleep Implementation with the `time.sleep()` Method
+
+This example demonstrates the fundamental usage of `time.sleep()` to create a simple delay in program execution:
 
 ```py
 import time
 
-print("Printed immediately.")
-time.sleep(2.4)
-print("Printed after 2.4 seconds.")
+# Print message before delay
+print("Starting program...")
+
+# Pause execution for 3 seconds
+time.sleep(3)
+
+# Print message after delay
+print("Program resumed after 3 seconds")
 ```
 
-The output will be:
+The output of this code is:
 
 ```shell
-Printed immediately.
-Printed after 2.4 seconds.
+Starting program...
+Program resumed after 3 seconds
 ```
 
-## Codebyte Example
+The program first prints "Starting program...", then pauses for exactly 3 seconds, and finally prints the second message.
+
+## Example 2: Creating a Timer With Python's `time.sleep()`
+
+This example shows how to use `time.sleep()` to create a countdown timer, demonstrating a practical, real-world application:
+
+```py
+import time
+
+def countdown_timer(seconds):
+  """Creates a countdown timer that displays remaining time"""
+  for i in range(seconds, 0, -1):
+    print(f"Time remaining: {i} seconds")
+    time.sleep(1)  # Wait for 1 second
+  print("Timer finished!")
+
+# Create a 5-second countdown
+countdown_timer(5)
+```
+
+The output of this code is:
+
+```shell
+Time remaining: 5 seconds
+Time remaining: 4 seconds
+Time remaining: 3 seconds
+Time remaining: 2 seconds
+Time remaining: 1 seconds
+Timer finished!
+```
 
-The following example will output time after a 5 second delay from current time (provided by the [`.ctime()`](https://www.codecademy.com/resources/docs/python/time-module/ctime) function):
+This example creates a countdown that updates every second, showing how `time.sleep()` can be used to control the timing of repeated operations.
+
+## Codebyte Example: Automated Data Processing With Delays
+
+This example demonstrates using `time.sleep()` in a data processing scenario where you need to respect rate limits or simulate processing time:
 
 ```codebyte/python
 import time
 
-print ("Start : %s" % time.ctime())
-time.sleep( 5 )
-print ("End : %s" % time.ctime())
+def process_data_batch(data_list, delay_seconds=2):
+  """Process data with delays between operations"""
+  print("Starting batch processing...")
+
+  for i, item in enumerate(data_list, 1):
+    print(f"Processing item {i}: {item}")
+
+    # Simulate processing time or respect API rate limits
+    time.sleep(delay_seconds)
+
+    print(f"Completed processing: {item}")
+
+  print("All items processed successfully!")
+
+# Example data list
+items = ["user_data.json", "sales_report.csv", "inventory.xml"]
+
+# Process with 2-second delays between items
+process_data_batch(items)
 ```
+
+This example shows how `time.sleep()` can be used to create controlled delays in automated processes, which is essential when working with external APIs or systems that have rate limiting.
+
+## Frequently Asked Questions
+
+### 1. Can `time.sleep()` accept decimal values for sub-second delays?
+
+Yes, `time.sleep()` accepts both integer and float values. For example, `time.sleep(0.5)` will pause execution for half a second, and `time.sleep(0.1)` will pause for 100 milliseconds.
+
+### 2. Does `time.sleep()` block the entire program?
+
+Yes, `time.sleep()` blocks the current thread completely. In single-threaded programs, this means the entire program is paused. For non-blocking delays, consider using `asyncio.sleep()` in asynchronous programs or threading for concurrent operations.
+
+### 3. What happens if I pass a negative number to `time.sleep()`?
+
+Passing a negative number to `time.sleep()` will raise a `ValueError`. The function only accepts non-negative values.

From 0024b22fdc8fbe5e26708cbd59ac2614cc7699f5 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 26 Jul 2025 17:10:53 +0530
Subject: [PATCH 034/332] [Edit] Python: sets: .add() (#7260)

* [Edit] Python: sets: .add()

* added keywords

* Update add.md

* Update content/python/concepts/sets/terms/add/add.md

* Update content/python/concepts/sets/terms/add/add.md

* Update content/python/concepts/sets/terms/add/add.md

* Update content/python/concepts/sets/terms/add/add.md

* Update content/python/concepts/sets/terms/add/add.md

---------
---
 content/python/concepts/sets/terms/add/add.md | 173 ++++++++++++++----
 1 file changed, 141 insertions(+), 32 deletions(-)

diff --git a/content/python/concepts/sets/terms/add/add.md b/content/python/concepts/sets/terms/add/add.md
index d2c11f51794..100b4606a31 100644
--- a/content/python/concepts/sets/terms/add/add.md
+++ b/content/python/concepts/sets/terms/add/add.md
@@ -1,12 +1,12 @@
 ---
 Title: '.add()'
-Description: 'Adds a specified single element to a set.'
+Description: 'Adds a single element to a set if it is not already present.'
 Subjects:
-  - 'Code Foundations'
   - 'Computer Science'
   - 'Data Science'
 Tags:
   - 'Collections'
+  - 'Data Structures'
   - 'Methods'
   - 'Sets'
 CatalogContent:
@@ -14,59 +14,168 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-In Python, the **`.add()`** method adds a specified single element to a set if it is not already present, thus maintaining its unique elements property. If the element is already present in the set, the operation has no effect. The method modifies the set in-place.
+Python's **`.add()`** method for [set](https://www.codecademy.com/resources/docs/python/sets) adds a single element to the set if it is not already present, maintaining the set's unique elements property. This method modifies the set in-place and ensures that duplicate elements are automatically prevented. Sets are mutable collections that only store unique, hashable elements, making `.add()` an essential method for dynamically building sets while preserving data integrity.
 
-> **Note:** If no argument is provided to `.add()` method, it raises an error.
-
-## Syntax
+## Syntax of Python `.add()`
 
 ```pseudo
 set.add(element)
 ```
 
-- `set`: The set to which an element will be added.
-- `element`: The element to be added to the set. Only one element can be added per method call.
+**Parameters:**
+
+- `element`: The element to be added to the set. Only one element can be added per method call. The element must be hashable (immutable types like numbers, strings, tuples, or frozensets).
+
+**Return value:**
+
+The `.add()` method returns `None`. It modifies the set in-place rather than returning a new set.
+
+> **Note:** If the element is already present in the set, the operation has no effect and does not raise an error.
+
+## Example 1: Basic Usage of Python Sets `.add()` Method
+
+This example demonstrates the fundamental usage of the `.add()` method with a simple set of numbers:
+
+```py
+# Create a set with initial elements
+numbers = {1, 2, 3}
+print("Original set:", numbers)
+
+# Add a new element to the set
+numbers.add(4)
+print("After adding 4:", numbers)
+
+# Attempt to add an existing element
+numbers.add(2)
+print("After adding 2 again:", numbers)
+
+# Add different data types
+numbers.add("hello")
+print("After adding string:", numbers)
+```
+
+This example results in the following output:
 
-## Example
+```shell
+Original set: {1, 2, 3}
+After adding 4: {1, 2, 3, 4}
+After adding 2 again: {1, 2, 3, 4}
+After adding string: {1, 2, 3, 4, 'hello'}
+```
+
+The code demonstrates that adding an existing element (2) does not affect the set, while new elements are successfully added regardless of their data type.
 
-The following example demonstrates the use of the `.add()` method:
+## Example 2: Using Pythons's `.add()` in User Management System
+
+This example shows how to use `.add()` in a practical user management scenario where there is a need to track unique user IDs:
 
 ```py
-# Create a set
-set_1={1,2,4,5}
+# Initialize an empty set for active users
+active_users = set()
 
-# Using .add() method to add a new unique element to set_1
-set_1.add(3)
+# Simulate user login events
+user_logins = [101, 102, 103, 101, 104, 102, 105]
 
-# Print the set with the additional element.
-print(set_1)
+# Add users to active set as they log in
+for user_id in user_logins:
+  active_users.add(user_id)
+  print(f"User {user_id} logged in. Active users: {active_users}")
 
-# Using .add() method to add an existing element 2 to set_1
-set_1.add(2)
+# Check total unique active users
+print(f"Total active users: {len(active_users)}")
 
-# Print the set with no changes
-print(set_1)
+# Add a premium user with special handling
+premium_user = 999
+active_users.add(premium_user)
+print(f"Premium user added. Final active users: {active_users}")
 ```
 
-The code example above will produce the following output:
+This example results in the following output:
 
 ```shell
-{1, 2, 3, 4, 5}
-{1, 2, 3, 4, 5}
+User 101 logged in. Active users: {101}
+User 102 logged in. Active users: {101, 102}
+User 103 logged in. Active users: {101, 102, 103}
+User 101 logged in. Active users: {101, 102, 103}
+User 104 logged in. Active users: {101, 102, 103, 103}
+User 102 logged in. Active users: {101, 102, 103, 103}
+User 105 logged in. Active users: {101, 102, 103, 104, 105}
+Total active users: 5
+Premium user added. Final active users: {101, 102, 103, 104, 105, 999}
 ```
 
-## Codebyte Example
+This demonstrates how `.add()` automatically handles duplicate user IDs, ensuring each user appears only once in the active users set.
+
+## Codebyte Example: Using `.add()` in Data Processing Pipeline
+
+This example illustrates using `.add()` in a data processing context where there is a need to collect unique tags from various sources:
 
 ```codebyte/python
-# create empty set
-numbers = set()
+# Initialize sets for different tag categories
+content_tags = set()
+user_tags = set()
+system_tags = set()
 
-numbers.add(1)
-numbers.add(2)
-numbers.add(3)
-numbers.add(5)
+# Process content from different sources
+content_data = [
+    {"id": 1, "tags": ["python", "programming", "tutorial"]},
+    {"id": 2, "tags": ["python", "data-science", "analysis"]},
+    {"id": 3, "tags": ["programming", "beginner", "tutorial"]}
+]
+
+# Extract unique tags from content
+for item in content_data:
+  for tag in item["tags"]:
+    content_tags.add(tag)
+
+print("Content tags:", content_tags)
+
+# Process user preferences
+user_preferences = [("python", "advanced"), ("data-science", "intermediate"), ("python", "beginner")]
+
+for tag, level in user_preferences:
+  # Create compound tag with level
+  compound_tag = f"{tag}_{level}"
+  user_tags.add(compound_tag)
+
+  # Also add base tag
+  user_tags.add(tag)
+
+print("User tags:", user_tags)
+
+# Add system-generated tags
+system_generated = ["auto-generated", "trending", "popular"]
+for tag in system_generated:
+  system_tags.add(tag)
+
+print("System tags:", system_tags)
 
-print(numbers)
+# Combine all unique tags
+all_tags = set()
+for tag_set in [content_tags, user_tags, system_tags]:
+  for tag in tag_set:
+    all_tags.add(tag)
+
+print("All unique tags:", all_tags)
+print("Total unique tags:", len(all_tags))
 ```
 
-> **Note:** To create an empty set, use `set()` instead of `{}`, as the latter creates an empty [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries).
+This example shows how `.add()` can be used to build comprehensive collections of unique elements from multiple data sources while maintaining data integrity.
+
+## Frequently Asked Questions
+
+### 1. Can I add multiple elements at once using `.add()`?
+
+No, `.add()` only accepts one element at a time. To add multiple elements, use the `.update()` method instead, which can accept iterables like lists, tuples, or other sets.
+
+### 2. Does `.add()` return the modified set?
+
+No, `.add()` returns `None` and modifies the set in-place. If you need to chain operations, you'll need to call methods on the set object directly.
+
+### 3. How do I check if an element was actually added to the set?
+
+You can check the set's length before and after calling `.add()`, or use the `in` operator to check membership before adding.
+
+### 4. Can I add `None` to a set?
+
+Yes, `None` is a valid element that can be added to sets since it's hashable and immutable.

From 9de87e00e05f0c3da35edeec30c2c8f7febd7a22 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 26 Jul 2025 17:17:23 +0530
Subject: [PATCH 035/332] [Edit] JavaScript: Window: setinterval() (#7297)

* [Edit] JavaScript: Window: setinterval()

* added keywords

* Update content/javascript/concepts/window/terms/setInterval/setInterval.md

* Update content/javascript/concepts/window/terms/setInterval/setInterval.md

* Changes

---------
---
 .../window/terms/setInterval/setInterval.md   | 202 +++++++++++++++---
 1 file changed, 172 insertions(+), 30 deletions(-)

diff --git a/content/javascript/concepts/window/terms/setInterval/setInterval.md b/content/javascript/concepts/window/terms/setInterval/setInterval.md
index 965704b1b6f..350cc94648b 100644
--- a/content/javascript/concepts/window/terms/setInterval/setInterval.md
+++ b/content/javascript/concepts/window/terms/setInterval/setInterval.md
@@ -1,61 +1,203 @@
 ---
-Title: 'setinterval()'
-Description: 'Executes a function repeatedly at specified intervals.'
+Title: 'setInterval()'
+Description: 'Repeatedly calls a function or executes code at specified time intervals.'
 Subjects:
+  - 'Computer Science'
   - 'Web Development'
 Tags:
-  - 'Time'
+  - 'DOM'
   - 'Functions'
   - 'Methods'
+  - 'Time'
 CatalogContent:
-  - 'paths/front-end-engineer-career-path'
   - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
 ---
 
-The **`setInterval()`** method is used to execute a function repeatedly at specified time intervals.
+JavaScript's **`setInterval()`** is a built-in function that belongs to the `Window` object. It repeatedly calls a [function](https://www.codecademy.com/resources/docs/javascript/functions) or executes a code snippet at specified time intervals, creating a continuous loop of execution until it is explicitly stopped.
 
 ## Syntax
 
-The `setInterval()` function is used to execute a function repeatedly at a specified interval (delay).
-
 ```pseudo
-intervalID = setInterval(function, delay, arg0, arg1, /* … ,*/ argN)
+setInterval(func, delay)
+setInterval(func, delay, arg1)
+setInterval(func, delay, arg1, arg2)
+setInterval(func, delay, arg1, arg2, /* … ,*/ argN)
+```
+
+**Parameters:**
+
+- `func`: A function to be executed every `delay` milliseconds. The first execution happens after `delay` milliseconds.
+- `delay`: The time, in milliseconds, between each execution of the specified function. Defaults to 0 if not specified.
+- `arg1, ..., argN` (optional): Additional arguments passed to the function specified by `func` once the timer expires.
+
+**Return value:**
+
+The `setInterval()` method returns a positive integer (interval ID) that uniquely identifies the timer created by the call. This identifier can be passed to `clearInterval()` to cancel the interval.
+
+## Example 1: Basic Counter Using `setInterval()`
+
+This example demonstrates a simple counter that increments every second and displays the count in the console:
+
+```js
+let count = 0;
+
+// Function to increment and display count
+function incrementCounter() {
+  count++;
+  console.log(`Count: ${count}`);
+}
+
+// Set interval to call incrementCounter every 1000ms (1 second)
+const intervalId = setInterval(incrementCounter, 1000);
+
+// Stop the counter after 5 seconds
+setTimeout(() => {
+  clearInterval(intervalId);
+  console.log('Counter stopped');
+}, 5000);
+```
+
+This example results in the following output:
+
+```shell
+Count: 1
+Count: 2
+Count: 3
+Count: 4
+Count: 5
+Counter stopped
+```
+
+## Example 2: Real-time Clock Display Using `setInterval()`
+
+This example creates a real-time digital clock that updates every second and displays the current time in a webpage element:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Real-time Clock</title>
+  </head>
+  <body>
+    <h1>Digital Clock</h1>
+    <div id="clock">Loading...</div>
+    <button onclick="stopClock()">Stop Clock</button>
+
+    <script>
+      // JavaScript code goes here
+    </script>
+  </body>
+</html>
 ```
 
-`setInterval()` takes the following parameters:
+```js
+// Function to update the clock display
+function updateClock() {
+  const now = new Date();
+  const timeString = now.toLocaleTimeString();
 
-- The `function` to be executed or, alternatively, a code snippet.
-- The `delay` in milliseconds between each execution. This parameter is optional and if not provided defaults to 0.
-- Optional additional arguments (`arg0`, `arg1` ... `argN`), which are passed to the `function` once the timer expires.
+  // Update the clock element with current time
+  const clockElement = document.getElementById('clock');
+  if (clockElement) {
+    clockElement.textContent = timeString;
+  }
+}
 
-After `setInterval()` is executed, the `function` argument is executed only after the given `delay`.
+// Update clock immediately
+updateClock();
 
-It returns a numeric, non-zero value as `intervalID` of the timer created by the call to `setInterval()`. This `intervalID` value can be passed to `clearInterval()` to cancel the interval.
+// Set interval to update clock every second
+const clockInterval = setInterval(updateClock, 1000);
 
-## Example
+// Function to stop the clock
+function stopClock() {
+  clearInterval(clockInterval);
+  console.log('Clock stopped');
+}
+```
 
-Following code outputs "Hello" 3 times to given number each second
+This example results in the following output:
+
+```shell
+Clock displays: 2:30:45 PM
+Clock displays: 2:30:46 PM
+Clock displays: 2:30:47 PM
+(continues updating every second)
+```
+
+## Example 3: Using `setInterval()` to Auto-refresh Data Feed
+
+This example demonstrates fetching and displaying data from an API at regular intervals, simulating a real-time data feed:
 
 ```js
-let i = 1; // Initial count
-const iMax = 3; // Max count
-
-// Function passed to `setInterval()` method
-function sayHello() {
-  console.log('Hello number ' + i);
-  i = i + 1;
-  if (i > iMax) {
-    clearInterval(intervalID); // Canceling the repeating action of the `setInterval()` method
+let updateCount = 0;
+const maxUpdates = 10;
+
+// Function to fetch and display data
+async function fetchDataFeed() {
+  try {
+    updateCount++;
+    console.log(`Fetching data update #${updateCount}`);
+
+    // Simulate API call with random data
+    const mockData = {
+      timestamp: new Date().toISOString(),
+      temperature: Math.round(Math.random() * 30 + 10),
+      humidity: Math.round(Math.random() * 50 + 30),
+    };
+
+    // Display the data
+    console.log(`Temperature: ${mockData.temperature}°C`);
+    console.log(`Humidity: ${mockData.humidity}%`);
+    console.log(`Last updated: ${mockData.timestamp}`);
+    console.log('---');
+
+    // Stop after maximum updates
+    if (updateCount >= maxUpdates) {
+      clearInterval(dataFeedInterval);
+      console.log('Data feed stopped');
+    }
+  } catch (error) {
+    console.error('Error fetching data:', error);
   }
 }
 
-const intervalID = setInterval(sayHello, 1000); // Calling the `setInterval()` method
+// Set interval to fetch data every 3 seconds
+const dataFeedInterval = setInterval(fetchDataFeed, 3000);
+
+// Initial data fetch
+fetchDataFeed();
 ```
 
-Expected output:
+This example results in the following output:
 
 ```shell
-Hello number 1
-Hello number 2
-Hello number 3
+Fetching data update #1
+Temperature: 23°C
+Humidity: 45%
+Last updated: 2024-01-15T10:30:00.000Z
+---
+Fetching data update #2
+Temperature: 27°C
+Humidity: 38%
+Last updated: 2024-01-15T10:30:03.000Z
+---
+(continues for 10 updates, then stops)
 ```
+
+> **Note:** Since this example generates random temperature and humidity values and uses the current timestamp, the actual output will vary each time the code runs. The values shown above are sample outputs for demonstration purposes.
+
+## Frequently Asked Questions
+
+### 1. What happens if I don't call `clearInterval()`?
+
+The interval will continue running indefinitely until the page is refreshed or closed, which can cause memory leaks and performance issues.
+
+### 2. Can I use `setInterval()` with arrow functions?
+
+Yes, `setInterval()` works with arrow functions, regular functions, and anonymous functions.
+
+### 3. What's the difference between `setInterval()` and `setTimeout()`?
+
+`setInterval()` executes repeatedly at specified intervals, while `setTimeout()` executes only once after a specified delay.

From 69c0ac15df8d67d9e9e8adb06eaf509c51f21aee Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 28 Jul 2025 12:05:57 +0530
Subject: [PATCH 036/332] [Edit] Java: Switch (#7225)

* [Edit] Java: Switch

* SEO changes

* updated faqs based on PAA

---------
---
 content/java/concepts/switch/switch.md | 150 ++++++++++++++++++++-----
 1 file changed, 120 insertions(+), 30 deletions(-)

diff --git a/content/java/concepts/switch/switch.md b/content/java/concepts/switch/switch.md
index f4aa3be82f4..5da9994c08a 100644
--- a/content/java/concepts/switch/switch.md
+++ b/content/java/concepts/switch/switch.md
@@ -1,24 +1,22 @@
 ---
 Title: 'Switch'
-Description: 'A switch statement provides a means of checking an expression against various case statements.'
+Description: 'The Java switch statement provides a means of checking an expression against various case statements.'
 Subjects:
   - 'Computer Science'
+  - 'Web Development'
 Tags:
-  - 'Switch'
   - 'Conditionals'
   - 'Control Flow'
+  - 'Switch'
+  - 'Values'
 CatalogContent:
   - 'learn-java'
   - 'paths/computer-science'
 ---
 
-A **`switch`** statement provides a means of checking an expression against various `case` statements. If there is a match, the code within starts to execute. The `break` keyword can be used to terminate a case.
-
-There's also an optional `default` statement marking code that executes if none of the `case` statements are true.
+The Java **`switch`** statement provides a means of checking an expression against various `case` statements. If there is a match, the code within starts to execute. The `break` keyword can be used to terminate a case. There's also an optional `default` statement marking code that executes if none of the `case` statements are true.
 
-## Syntax
-
-A `switch` statement looks like:
+## Java `switch` Case Syntax
 
 ```pseudo
 switch (expression) {
@@ -33,33 +31,125 @@ switch (expression) {
 }
 ```
 
-- The `switch` keyword initiates the statement and is followed by `()`, which contains the value that each case will compare. In the example, the value or expression of the switch statement is `grade`.
-- Inside the block, `{}`, there are multiple cases.
-- The `case` keyword checks if the expression matches the specified value that comes after it. The value following the first case is `9`. If the value of grade is equal to `9`, then the code that follows the `:` would run.
-- The `break` keyword tells the computer to exit the block and not execute any more code or check any other cases inside the code block.
-- At the end of each switch statement, there is a `default` statement. If none of the cases are `true`, then the code in the `default` statement will run. It’s essentially the `else` part in an `if`/`else if`/`else` statement.
+Here, `expression` is the expression to be checked against the various `case` statements.
+
+## How Java `switch` Case Works
+
+1. Java evaluates the `expression` inside the `switch` case.
+2. It compares the result with each `case` value.
+3. If a match is found, the code block under that `case` is executed.
+4. The `break` statement ends the `switch` block.
+5. If no match is found, the `default` block (if present) is executed.
 
-In the code above, suppose grade is equal to `10`, then the output would be “Sophomore”.
+> **Note:** Without `break`, the execution will continue to the next case—this is called fall-through.
 
-> **Note:** Without the `break` keyword at the end of each case, the program would execute the code for the first matching case and _all_ subsequent cases, including the `default` code. This behavior is different from `if`/`else` conditional statements which execute only one block of code.
+## Java `switch` Case vs. `if-else` Statement
 
-## Example
+| Feature                  | `switch` Case                             | `if-else` Statement                       |
+| ------------------------ | ----------------------------------------- | ----------------------------------------- |
+| **Use Case**             | Best for fixed values or discrete options | Suitable for complex conditions or ranges |
+| **Data Types Supported** | `int`, `char`, `String`, `enum`           | All data types and expressions            |
+| **Readability**          | More readable for many discrete cases     | Less readable with many nested conditions |
+| **Fall-through**         | Possible if `break` is omitted            | No fall-through                           |
+| **Performance**          | Slightly better for large case sets       | Comparable in most cases                  |
+
+## Example 1: Java `switch` Case with Integers
+
+This example uses an `int` variable to determine the current day of the week using the Java `switch` statement. It prints the corresponding weekday based on the numeric value:
 
 ```java
-int rating = 3;
+public class DaySwitch {
+  public static void main(String[] args) {
+    int day = 3;
 
-switch (rating) {
-  case 5:
-    System.out.println("Exceptional");
-    break;
-  case 4:
-    System.out.println("Good");
-    break;
-  case 3:
-    System.out.println("Fair");
-    break;
-  default:
-    System.out.println("Poor");
-    break;
+    switch (day) {
+      case 1:
+        System.out.println("Monday");
+        break;
+      case 2:
+        System.out.println("Tuesday");
+        break;
+      case 3:
+        System.out.println("Wednesday");
+        break;
+      default:
+        System.out.println("Other day");
+    }
+  }
+}
+```
+
+Here is the output:
+
+```shell
+Wednesday
+```
+
+## Example 2: Java `switch` Case with Strings
+
+This example shows how to use a string in a Java `switch` statement to match and identify the month. It's available from Java 7 onwards:
+
+```java
+public class MonthSwitch {
+  public static void main(String[] args) {
+    String month = "April";
+
+    switch (month) {
+      case "January":
+        System.out.println("1st month");
+        break;
+      case "April":
+        System.out.println("4th month");
+        break;
+      default:
+        System.out.println("Unknown month");
+    }
+  }
+}
+```
+
+Here is the output:
+
+```shell
+4th month
+```
+
+## Example 3: Enhanced Java `switch` Case (Java 14+)
+
+This example demonstrates the enhanced Java `switch` statement syntax introduced in Java 14. It uses the new arrow (`->`) syntax for cleaner and safer case handling, and returns a value based on day type:
+
+```java
+public class EnhancedSwitch {
+  public static void main(String[] args) {
+    int day = 5;
+
+    String dayType = switch (day) {
+      case 1, 2, 3, 4, 5 -> "Weekday";
+      case 6, 7 -> "Weekend";
+      default -> "Invalid day";
+    };
+
+    System.out.println(dayType);
+  }
 }
 ```
+
+Here is the output:
+
+```shell
+Weekday
+```
+
+## Frequently Asked Questions
+
+### 1. Is String allowed in switch case in Java?
+
+Yes, Java `switch` statements support `String` as a valid type.
+
+### 2. What is the purpose of `break` in `switch`?
+
+In Java, the `break` statement is used in a `switch` to exit the switch block once a matching case has been executed. Without `break`, Java will continue to execute the following cases even if they don't match.
+
+### 3. Can we use `return` in a `switch` case in Java?
+
+Yes, you can absolutely use `return` inside a `switch` case in Java. In fact, using `return` will immediately exit the method in which the `switch` resides so you don't need a `break` after it.

From fdcc9603942098d053ea6701e19e02ec3c27ea58 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 28 Jul 2025 12:21:49 +0530
Subject: [PATCH 037/332] [Edit] Java: Comparator (#7293)

* [Edit] Java: Comparator

* SEO changes

* updated faq

---------
---
 .../java/concepts/comparator/comparator.md    | 163 +++++++++++-------
 1 file changed, 102 insertions(+), 61 deletions(-)

diff --git a/content/java/concepts/comparator/comparator.md b/content/java/concepts/comparator/comparator.md
index b8262c6ea36..100aabadedc 100644
--- a/content/java/concepts/comparator/comparator.md
+++ b/content/java/concepts/comparator/comparator.md
@@ -1,6 +1,6 @@
 ---
 Title: 'Comparator'
-Description: 'The Comparator interface is used to order objects of an arbitrary class.'
+Description: 'The Java Comparator interface is used to order objects of an arbitrary class.'
 Subjects:
   - 'Code Foundations'
   - 'Computer Science'
@@ -14,9 +14,9 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-The **`Comparator`** interface is used to order objects of an arbitrary [class](https://www.codecademy.com/resources/docs/java/classes). It is not to be confused with the [`Comparable`](https://www.codecademy.com/resources/docs/java/comparable) interface, which is implemented by the class to be sorted. The `Comparator` interface is implemented in a separate class.
+**`Comparator`** in Java is an interface used to order objects of an arbitrary [class](https://www.codecademy.com/resources/docs/java/classes). It is not to be confused with the [`Comparable`](https://www.codecademy.com/resources/docs/java/comparable) interface, which is implemented by the class to be sorted. The `Comparator` interface is implemented in a separate class.
 
-## Syntax
+## Java `Comparator` Syntax
 
 ```pseudo
 class MyComparator implements Comparator<MyClass> {
@@ -29,97 +29,138 @@ class MyComparator implements Comparator<MyClass> {
 }
 ```
 
-Applying the `Comparator` interface to a class, `MyComparator`, requires the `implements` keyword (e.g., `Comparator<MyClass>`). This interface has a `.compare()` method that returns an `int` value based on whether two `MyClass` instances, `a` and `b`, can be logically sorted.
+Applying `Comparator` in Java to a class (`MyComparator`) requires the `implements` keyword (e.g., `Comparator<MyClass>`). This interface has a `.compare()` method, which returns an `int` value based on whether two `MyClass` instances, `a` and `b`, can be logically sorted:
 
 | Return Value | Meaning                                        |
 | :----------: | ---------------------------------------------- |
-|    `>= 1`    | first object instance > second object instance |
-|     `0`      | first object instance = second object instance |
-|   `<= -1`    | first object instance < second object instance |
+|    `>= 1`    | First object instance > Second object instance |
+|     `0`      | First object instance = Second object instance |
+|   `<= -1`    | First object instance < Second object instance |
 
 A `Comparator` class can be passed as an argument to methods such as [`Arrays.sort()`](https://www.codecademy.com/resources/docs/java/arrays/sort) and `Collections.sort()` to specify the sort order, potentially overriding the natural sort order defined by the class’s own `.compareTo()` method.
 
-## Example
+## Example 1: Sort a List of Strings Using Java `Comparator`
 
-The following example showcases the `Comparator` interface. First, an `Employee` class is defined:
+In this example, the Java `Comparator` class named `StringLengthComparator` is used to compare two strings based on their length. This is useful when the sorting logic is used in multiple places or needs to be unit-tested:
 
 ```java
-// Employee.java
-public class Employee {
-  String firstName;
-  String lastName;
+import java.util.*;
 
-  // Constructor sets firstName and lastName
-  public Employee(String first, String last)
-  {
-    this.firstName = first;
-    this.lastName = last;
+class StringLengthComparator implements Comparator<String> {
+  public int compare(String s1, String s2) {
+    return s1.length() - s2.length(); // Ascending by length
   }
+}
 
-  // User-friendly output when printed.
-  public String toString()
-  {
-    return "( " + lastName + ", " + firstName + " )";
+public class StringLengthSort {
+  public static void main(String[] args) {
+    List<String> words = Arrays.asList("banana", "apple", "pear", "kiwi");
+
+    // Sort using comparator
+    Collections.sort(words, new StringLengthComparator());
+
+    System.out.println("Sorted by length: " + words);
   }
 }
 ```
 
-The next snippet defines an `EmployeeSort` class that implements the `Comparator` interface and overrides its `.compare()` method to sort based on `lastName` and then on `firstName`:
+Here is the output:
+
+```shell
+Sorted by length: [pear, kiwi, apple, banana]
+```
+
+## Example 2: Using Java `Comparator` to Sort Custom Objects
+
+In this example, the Java `Comparator` class named `SalaryComparator` is a reusable class for comparing employees based on their salary and `Collections.sort()` applies the comparator to arrange employees in ascending order:
 
 ```java
 import java.util.*;
 
-// EmployeeSort.java
-public class EmployeeSort implements Comparator<Employee> {
+class Employee {
+  String name;
+  int salary;
 
-  // Implement the Comparator interface
-  @Override public int compare(Employee valueA, Employee valueB)
-  {
-    if (valueA.lastName.compareTo(valueB.lastName) != 0) {
-      // If lastNames are different, compare lastName
-      return valueA.lastName.compareTo(valueB.lastName);
-    } else {
-      // If lastNames are the same, compare firstName
-      return valueA.firstName.compareTo(valueB.firstName);
-    }
+  Employee(String name, int salary) {
+    this.name = name;
+    this.salary = salary;
+  }
+
+  public String toString() {
+    return name + ": " + salary;
+  }
+}
+
+// Comparator to sort employees by salary
+class SalaryComparator implements Comparator<Employee> {
+  public int compare(Employee e1, Employee e2) {
+    return e1.salary - e2.salary; // Ascending order
+  }
+}
+
+public class EmployeeSort {
+  public static void main(String[] args) {
+    List<Employee> list = new ArrayList<>();
+    list.add(new Employee("Alice", 70000));
+    list.add(new Employee("Bob", 50000));
+    list.add(new Employee("Charlie", 60000));
+
+    // Sort using SalaryComparator
+    Collections.sort(list, new SalaryComparator());
+
+    System.out.println("Sorted by salary: " + list);
   }
 }
 ```
 
-This last snippet demonstrates the `Comparator` interface:
+Here is the output:
+
+```shell
+Sorted by salary: [Bob: 50000, Charlie: 60000, Alice: 70000]
+```
+
+## Example 3: Sort in Reverse Order Using Java `Comparator`
+
+In this example, the Java `Comparator` class named `ReverseIntegerComparator` reverses the natural ordering of integers. It's useful when built-in methods like `Comparator.reverseOrder()` are not allowed or available:
 
 ```java
 import java.util.*;
 
-// SortExample.java
-public class SortExample {
-  public static void main(String[] args)
-  {
-    // Set up array with a few Employee classes
-    Employee a[] = new Employee[5];
-    a[0] = new Employee("Kirk","Douglas");
-    a[1] = new Employee("Mel","Brooks");
-    a[2] = new Employee("Jane","Fonda");
-    a[3] = new Employee("Henry","Fonda");
-    a[4] = new Employee("Michael","Douglas");
-
-    // Use .sort() method with Comparable class.
-    Arrays.sort(a, new EmployeeSort());
-
-    // Print out the sorted Employees
-    for (int i=0; i < a.length; i++) {
-      System.out.println(a[i]);
-    }
+class ReverseIntegerComparator implements Comparator<Integer> {
+  public int compare(Integer a, Integer b) {
+    return b - a; // descending order
+  }
+}
+
+public class ReverseSortExample {
+  public static void main(String[] args) {
+    List<Integer> numbers = Arrays.asList(5, 1, 3, 8, 2);
+
+    // Reverse sort using explicit comparator
+    Collections.sort(numbers, new ReverseIntegerComparator());
+
+    System.out.println("Reverse sorted: " + numbers);
   }
 }
 ```
 
-This example results in the following output:
+Here is the output:
 
 ```shell
-( Brooks, Mel )
-( Douglas, Kirk )
-( Douglas, Michael )
-( Fonda, Henry )
-( Fonda, Jane )
+Reverse sorted: [8, 5, 3, 2, 1]
 ```
+
+## Frequently Asked Questions
+
+### 1. What is the difference between Java `Comparator` and `Comparable`?
+
+- `Comparable` in Java is implemented by a class to define its natural ordering.
+- `Comparator` in Java is used to define external and multiple sorting strategies.
+
+### 2. Can a class have multiple comparators in Java?
+
+Yes. You can create multiple `Comparator` classes in Java to sort objects differently—for example, by name, salary, or ID.
+
+### 3. Is `Comparator` a functional interface in Java?
+
+Yes. You can utilize lambda expressions to implement comparators in Java concisely.

From 7dc7bef4c9d5cebc16abf35e219f0279deca1ee8 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 28 Jul 2025 12:31:07 +0530
Subject: [PATCH 038/332] [Edit] C: Operators (#7318)

* [Edit] C: Operators

* SEO changes

* Update operators.md

---------
---
 content/c/concepts/operators/operators.md | 256 +++++++++++++++++-----
 1 file changed, 198 insertions(+), 58 deletions(-)

diff --git a/content/c/concepts/operators/operators.md b/content/c/concepts/operators/operators.md
index 23751dbe0d3..c48653a87b4 100644
--- a/content/c/concepts/operators/operators.md
+++ b/content/c/concepts/operators/operators.md
@@ -1,31 +1,33 @@
 ---
 Title: 'Operators'
-Description: 'Operators are used to perform operations on variables and values.'
+Description: 'C operators perform mathematical, logical, and bit-level operations on variables and values.'
 Subjects:
   - 'Code Foundations'
   - 'Computer Science'
 Tags:
-  - 'Operators'
   - 'Arithmetic'
   - 'Comparison'
   - 'Logical'
+  - 'Operators'
 CatalogContent:
   - 'learn-c'
   - 'paths/computer-science'
 ---
 
-**Operators** are used to perform operations on variables and values. They are symbols that tell the compiler to perform specific mathematical or logical functions. The C language provides the following types of operators:
+C **operators** perform mathematical, logical, and bit-level operations on variables and values. They are symbols that tell the compiler to perform specific mathematical or logical operations.
 
-- Arithmetic Operators
-- Relational Operators
-- Logical Operators
-- Bitwise Operators
-- Assignment Operators
-- Misc Operators
+The different types of operators in C include:
 
-## Arithmetic Operators
+- Arithmetic operators
+- Relational operators
+- Logical operators
+- Bitwise operators
+- Assignment operators
+- Misc operators
 
-C has the following basic arithmetic operators to perform common mathematical operations:
+## C Arithmetic Operators
+
+C has these basic arithmetic operators to perform common mathematical operations:
 
 | Operator |      Name      | Description                                                 |
 | :------: | :------------: | ----------------------------------------------------------- |
@@ -37,20 +39,41 @@ C has the following basic arithmetic operators to perform common mathematical op
 |   `++`   |   Increment    | `x++` returns `x + 1`                                       |
 |   `--`   |   Decrement    | `x--` returns `x - 1`                                       |
 
+### C Arithmetic Operators Example
+
+This example demonstrates the usage of arithmetic operators in C:
+
 ```c
-int x = 0;
-x = x + 4; // x is now 4
-x = x - 1; // x is now 3
-x = x * 8; // x is now 24
-x = x / 4; // x is now 6
-x = x % 4; // x is now 2
-x++;       // x is now 3
-x--;       // x is now 2
+#include <stdio.h>
+
+int main() {
+  int a = 10, b = 3;
+  printf("Addition: %d\n", a + b);
+  printf("Subtraction: %d\n", a - b);
+  printf("Multiplication: %d\n", a * b);
+  printf("Division: %d\n", a / b);
+  printf("Modulo: %d\n", a % b);
+  printf("Increment: %d\n", ++a);
+  printf("Decrement: %d\n", --b);
+  return 0;
+}
+```
+
+Here is the output:
+
+```shell
+Addition: 13
+Subtraction: 7
+Multiplication: 30
+Division: 3
+Modulo: 1
+Increment: 11
+Decrement: 2
 ```
 
-## Relational Operators
+## C Relational Operators
 
-Relational operators compare two values and return `true` or `false`.
+C relational operators compare two values and return `true` or `false`:
 
 | Operator |           Name           | Description                                                |
 | :------: | :----------------------: | ---------------------------------------------------------- |
@@ -61,22 +84,39 @@ Relational operators compare two values and return `true` or `false`.
 |   `<=`   |  Less Than or Equal to   | `x <= y` is `true` if `x` is less than or equal to `y`.    |
 |   `>=`   | Greater Than or Equal to | `x >= y` is `true` if `x` is greater than or equal to `y`. |
 
-```c
-int x = 7;
-int y = 5;
+### C Relational Operators Example
 
-if (x > y) {
-  // This code will run.
-}
+This example demonstrates the usage of relational operators in C:
 
-if (x == y) {
-  // This code won't run.
+```c
+#include <stdio.h>
+
+int main() {
+  int a = 10, b = 5;
+  printf("a == b: %d\n", a == b);
+  printf("a != b: %d\n", a != b);
+  printf("a > b: %d\n", a > b);
+  printf("a < b: %d\n", a < b);
+  printf("a >= b: %d\n", a >= b);
+  printf("a <= b: %d\n", a <= b);
+  return 0;
 }
 ```
 
-## Logical Operators
+Here is the output:
+
+```shell
+a == b: 0
+a != b: 1
+a > b: 1
+a < b: 0
+a >= b: 1
+a <= b: 0
+```
+
+## C Logical Operators
 
-Logical operators operate on boolean values and return boolean values.
+C logical operators operate on Boolean values and return Boolean values:
 
 | Operator | Name | Description                                                        |
 | :------: | :--: | ------------------------------------------------------------------ |
@@ -84,22 +124,33 @@ Logical operators operate on boolean values and return boolean values.
 |   `&&`   | And  | `x && y` is `true` only if `x` and `y` are both `true`.            |
 |  `\|\|`  |  Or  | `x \|\| y` is `true` if either `x` or `y` is `true`.               |
 
-```c
-int x = 7;
-int y = 5;
+### C Logical Operators Example
 
-if (x > y \|\| x == y) {
-  // This code will run.
-}
+This example demonstrates the usage of logical operators in C:
 
-if (x == y && x < 0) {
-  // This code won't run.
+```c
+#include <stdio.h>
+
+int main() {
+  int a = 1, b = 0;
+  printf("a && b: %d\n", a && b);
+  printf("a || b: %d\n", a || b);
+  printf("!a: %d\n", !a);
+  return 0;
 }
 ```
 
-## Bitwise Operators
+Here is the output:
+
+```shell
+a && b: 0
+a || b: 1
+!a: 0
+```
+
+## C Bitwise Operators
 
-Bitwise operators manipulate individual bits in an integer.
+C bitwise operators manipulate individual bits in an integer:
 
 | Operator |    Name     | Description                                                    |
 | :------: | :---------: | -------------------------------------------------------------- |
@@ -110,28 +161,39 @@ Bitwise operators manipulate individual bits in an integer.
 |   `<<`   | Left shift  | `a << b` means `a`'s bits are shifted to the left `b` spaces.  |
 |   `>>`   | Right shift | `a >> b` means `a`'s bits are shifted to the right `b` spaces. |
 
-```c
-int x;
-
-x = 19 & 7;
-// x is 3 : 10011 & 00111 = 00011
+### C Bitwise Operators Example
 
-x = 19 | 7;
-// x is 23 : 10011 | 00111 = 10111
+This example demonstrates the usage of bitwise operators in C:
 
-x = 19 ^ 7;
-x is 20 : 10011 ^ 00111 = 10100
+```c
+#include <stdio.h>
+
+int main() {
+  int a = 5, b = 3;  // 5 = 0101, 3 = 0011
+  printf("a & b: %d\n", a & b);
+  printf("a | b: %d\n", a | b);
+  printf("a ^ b: %d\n", a ^ b);
+  printf("~a: %d\n", ~a);
+  printf("a << 1: %d\n", a << 1);
+  printf("a >> 1: %d\n", a >> 1);
+  return 0;
+}
+```
 
-x = 7 << 2;
-// x is 28 : 00111 << 2 = 11100
+Here is the output:
 
-x = 19 >> 2;
-// x is 4 : 10011 >> 2 = 00100
+```shell
+a & b: 1
+a | b: 7
+a ^ b: 6
+~a: -6
+a << 1: 10
+a >> 1: 2
 ```
 
-## Assignment Operators
+## C Assignment Operators
 
-Assignment operators assign the value on the right to the variable on the left.
+C assignment operators assign the value on the right to the variable on the left:
 
 | Operator |           Name            | Description                                |
 | :------: | :-----------------------: | ------------------------------------------ |
@@ -147,9 +209,42 @@ Assignment operators assign the value on the right to the variable on the left.
 |  `<<=`   |   Left Shift Assignment   | `a <<= 3` is short for `a = a << 3`.       |
 |  `>>=`   |  Right Shift Assignment   | `a >>= 3` is short for `a = a >> 3`.       |
 
-## Misc Operators
+### C Assignment Operators Example
 
-Misc operators don't fit into a particular category.
+This example demonstrates the usage of assignment operators in C:
+
+```c
+#include <stdio.h>
+
+int main() {
+  int a = 5;
+  a += 3;  // a = a + 3
+  printf("a += 3: %d\n", a);
+  a -= 2;
+  printf("a -= 2: %d\n", a);
+  a *= 4;
+  printf("a *= 4: %d\n", a);
+  a /= 3;
+  printf("a /= 3: %d\n", a);
+  a %= 3;
+  printf("a %%= 3: %d\n", a);
+  return 0;
+}
+```
+
+Here is the output:
+
+```shell
+a += 3: 8
+a -= 2: 6
+a *= 4: 24
+a /= 3: 8
+a %= 3: 2
+```
+
+## C Misc Operators
+
+C misc operators don't fit into a particular category:
 
 |  Operator  |         Name         | Description                                                                     |
 | :--------: | :------------------: | ------------------------------------------------------------------------------- |
@@ -157,3 +252,48 @@ Misc operators don't fit into a particular category.
 |    `&`     |       Address        | `&x` returns the address of variable `x`.                                       |
 |    `*`     |       Pointer        | `*x` returns a pointer to variable `x`. Not to be confused with multiplication. |
 |    `?:`    | Conditional Operator | `expression?x:y` returns `x` when `expression` is `true`, `y` otherwise.        |
+
+### C Misc Operators Example
+
+This example demonstrates the usage of some of these operators in C:
+
+```c
+#include <stdio.h>
+
+int main() {
+  int a = 10;
+  int *p = &a;
+
+  printf("Address of a: %p\n", &a);
+  printf("Value of a using pointer: %d\n", *p);
+
+  int b = (a > 5) ? 100 : 200;
+  printf("Ternary result: %d\n", b);
+
+  return 0;
+}
+```
+
+Here is the output:
+
+```shell
+Address of a: 0x7ffdcb92c540
+Value of a using pointer: 10
+Ternary result: 100
+```
+
+## Frequently Asked Questions
+
+### 1. What is the difference between `==` and `=` in C?
+
+- `=` is the assignment operator (e.g., `x = 5`; assigns value `5` to `x`).
+- `==` is the equality operator used to compare two values (e.g., `x == y` checks if `x` equals `y`).
+
+### 2. What is the difference between C `&&` and `&` operator?
+
+- C `&&` is a logical AND operator: It returns `true` if both conditions are `true`.
+- C `&` is a bitwise AND operator: It performs an AND operation bit-by-bit.
+
+### 3. Can I use arithmetic operators on characters in C?
+
+Yes. Characters in C are stored as ASCII values, so arithmetic operations like `'A' + 1` are valid and return `'B'`.

From 4586627663b97756023f3e089b132343826e14c2 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 29 Jul 2025 23:00:36 +0530
Subject: [PATCH 039/332] [Edit] C#: Strings: .Substring() (#7274)

* [Edit] C#: Strings: .Substring()

* added keywords

* Update content/c-sharp/concepts/strings/terms/substring/substring.md

* Update content/c-sharp/concepts/strings/terms/substring/substring.md

* Update content/c-sharp/concepts/strings/terms/substring/substring.md

* Update content/c-sharp/concepts/strings/terms/substring/substring.md

* Update content/c-sharp/concepts/strings/terms/substring/substring.md

* Lint

---------
---
 .../strings/terms/substring/substring.md      | 145 +++++++++++++-----
 1 file changed, 103 insertions(+), 42 deletions(-)

diff --git a/content/c-sharp/concepts/strings/terms/substring/substring.md b/content/c-sharp/concepts/strings/terms/substring/substring.md
index 2e41afca218..9a676179370 100644
--- a/content/c-sharp/concepts/strings/terms/substring/substring.md
+++ b/content/c-sharp/concepts/strings/terms/substring/substring.md
@@ -1,10 +1,11 @@
 ---
 Title: '.Substring()'
-Description: 'Returns the substring of a string instance starting at a given index.'
+Description: 'Extracts a portion of a string starting from a specified index position.'
 Subjects:
-  - 'Code Foundations'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
+  - 'Data Types'
   - 'Methods'
   - 'Strings'
 CatalogContent:
@@ -12,84 +13,144 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-The **`.Substring()`** method is a string method that returns a substring of a string starting at the specified index. It will return all characters from that index to the end unless a maximum length is specified. If the starting index equals the string length, it returns an empty string (`""`). If the index is greater than the string length, it throws an `ArgumentOutOfRangeException`.
+The C# **`.Substring()`** method is a built-in [string](https://www.codecademy.com/resources/docs/c-sharp/strings) method that extracts a portion of a string starting from a specified index position. It returns a new string containing the characters from the starting position to either the end of the string or for a specified length, without modifying the original string.
 
-## Syntax
+## Syntax of C# `.Substring()`
 
 ```pseudo
-.Substring(int startIndex)
+public string Substring(int startIndex)
+public string Substring(int startIndex, int length)
 ```
 
-Or, alternatively:
+**Parameters:**
 
-```pseudo
-.Substring(int startIndex, int length)
-```
+- `startIndex`: The zero-based starting position from where the substring begins. The type is `System.Int32`.
+- `length` (optional): The number of characters to include in the substring. The type is `System.Int32`.
+
+**Return value:**
+
+Both methods return a new string (`System.String`) containing the extracted substring.
 
-- `startIndex`: The index from where the substring starts.
-- `Length` (Optional): The number of characters to include in the substring..
+**Exceptions:**
 
-## Example
+The method throws `ArgumentOutOfRangeException` if:
 
-In this example, `.Substring()` is used to return the substring of "Codecademy" starting at index `4` and includes all characters from that position to the end of the string:
+- `startIndex` is less than zero or greater than the length of the string
+- `length` is less than zero
+- `startIndex` plus `length` indicates a position not within the current string
+
+## Example 1: Basic Usage of `.Substring()`
+
+This example demonstrates how to use the `.Substring()` method with a single parameter to extract characters from a specific position to the end of the string:
 
 ```cs
 using System;
 
 public class Program
 {
-    public static void Main()
-    {
-        string str = "Codecademy";
-        Console.WriteLine(str.Substring(4));
-    }
+  public static void Main()
+  {
+    string text = "Hello World";
+
+    // Extract substring from index 6 to the end
+    string result = text.Substring(6);
+
+    Console.WriteLine($"Original: {text}");
+    Console.WriteLine($"Substring from index 6: {result}");
+  }
 }
 ```
 
-The above example results in the following output:
+The output of this example will be:
 
 ```shell
-cademy
+Original: Hello World
+Substring from index 6: World
 ```
 
-## Example 2
+This example extracts all characters starting from index 6 (the letter 'W') to the end of the string.
+
+## Example 2: Extract Characters with Length Using `.Substring()`
 
-In this example, `.Substring()` is used with the optional `length` parameter to return a substring of 6 characters starting from index `2` of the string `"Codecademy"`.
+This example shows how to use the `.Substring()` method with both parameters to extract a specific number of characters:
 
 ```cs
 using System;
 
 public class Program
 {
-    public static void Main()
-    {
-        string str = "Codecademy";
-        Console.WriteLine(str.Substring(2, 6));
-    }
+ public static void Main()
+  {
+    string email = "user@example.com";
+
+    // Extract username (characters before @)
+    int atIndex = email.IndexOf('@');
+    string username = email.Substring(0, atIndex);
+
+    // Extract domain (characters after @)
+    string domain = email.Substring(atIndex + 1);
+
+    Console.WriteLine($"Email: {email}");
+    Console.WriteLine($"Username: {username}");
+    Console.WriteLine($"Domain: {domain}");
+  }
 }
 ```
 
-The above code generates the following output:
+The output of this code will be:
 
-````shell
-decade
+```shell
+Email: user@example.com
+Username: user
+Domain: example.com
+```
+
+The above example demonstrates extracting the username from an email address and getting a portion of the domain.
 
-## Codebyte Example
+## Codebyte Example: Using C# `.Substring()` for File Path Processing
 
-The below code demonstrates how to use the Substring method:
+This example shows a real-world scenario where `.Substring()` is used to process file paths and extract file information:
 
 ```codebyte/csharp
 using System;
 
-public class Example
+public class Program
 {
-    public static void Main(string[] args)
-    {
-        string Name1 = "Brad";
-        string Name2 = "Angelina";
-
-        Console.WriteLine(Name1.Substring(1));
-        Console.WriteLine(Name2.Substring(1));
-    }
+  public static void Main()
+  {
+    string filePath = "C:\\Documents\\Projects\\MyApplication.exe";
+
+    // Extract filename with extension
+    int lastSlash = filePath.LastIndexOf('\\');
+    string fileName = filePath.Substring(lastSlash + 1);
+
+    // Extract file extension
+    int dotIndex = fileName.LastIndexOf('.');
+    string extension = fileName.Substring(dotIndex + 1);
+
+    // Extract filename without extension
+    string nameOnly = fileName.Substring(0, dotIndex);
+
+    Console.WriteLine($"Full path: {filePath}");
+    Console.WriteLine($"Filename: {fileName}");
+    Console.WriteLine($"Extension: {extension}");
+    Console.WriteLine($"Name only: {nameOnly}");
+  }
 }
-````
+```
+
+This example processes a file path to extract different components.
+
+## Frequently Asked Questions
+
+### 1. What happens if I pass a negative index to `.Substring()`?
+
+The method will throw an `ArgumentOutOfRangeException` if the `startIndex` is negative or greater than the string length.
+
+### 2. Can `.Substring()` modify the original string?
+
+No, `.Substring()` returns a new string and does not modify the original string, as strings are immutable in C#.
+
+### 3. What's the difference between `.Substring()` and `Span<char>`?
+
+`.Substring()` creates a new string object, while `Span<char>` provides a memory-efficient way to work with string segments without allocation.

From b2afa1291ee26a547b81fb00cf7503442d158781 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 29 Jul 2025 23:14:24 +0530
Subject: [PATCH 040/332] [Edit] C++: enum (#7296)

* [Edit] C++: enum

* added keywords

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

* Update content/cpp/concepts/enum/enum.md

---------
---
 content/cpp/concepts/enum/enum.md | 279 ++++++++++++++++++++----------
 1 file changed, 186 insertions(+), 93 deletions(-)

diff --git a/content/cpp/concepts/enum/enum.md b/content/cpp/concepts/enum/enum.md
index 04df8195a0b..3814983fd4c 100644
--- a/content/cpp/concepts/enum/enum.md
+++ b/content/cpp/concepts/enum/enum.md
@@ -1,162 +1,255 @@
 ---
-Title: 'Enum'
-Description: 'Defines a variable with a limited set of predefined values.'
+Title: 'enum'
+Description: 'Defines a set of named integer constants in C++ for better code readability and maintainability.'
 Subjects:
+  - 'Code Foundations'
   - 'Computer Science'
-  - 'Game Development'
 Tags:
-  - 'Enum'
   - 'Data Types'
-  - 'Arrays'
-  - 'Vectors'
-  - 'Pointers'
-  - 'Memory'
+  - 'Enum'
+  - 'Variables'
 CatalogContent:
   - 'learn-c-plus-plus'
   - 'paths/computer-science'
 ---
 
-In C++, an **enumeration (enum)** is a user defined type where a set of values is specified for a variable and the variable can only take one out of a small set of possible values.
-
-## Syntax
+An **`enum`** in C++ is a user-defined [data type](https://www.codecademy.com/resources/docs/cpp/data-types) that defines a set of named integer constants. It provides a way to create symbolic names for a group of related values, making code more readable and maintainable. Enums are particularly useful when representing a fixed set of options or states in the program.
 
-The keyword `enum` is used to define an enumeration.
-
-```cpp
-enum name {const1, const2, ...};
-```
+## Syntax of C++ enum
 
-Here's an example:
-
-```cpp
-enum day {sun, mon, tue, wed, thu, fri, sat};
+```pseudo
+enum enum_name {
+  constant1,
+  constant2,
+  constant3,
+  ...
+};
 ```
 
-- `sun` would have the value 0
-- `mon` would have the value 1
-- `tue` would have the value 2
-- `wed` would have the value 3
-- `thu` would have the value 4
-- `fri` would have the value 5
-- `sat` would have the value 6
+**Parameters:**
 
-Here's another example where one of the constants is assigned a value:
+- `enum_name`: The name of the enumeration type
+- `constant1, constant2, constant3, ...`: Named constants within the enum
 
-```cpp
-enum grade {freshman=9, sophomore, junior, senior};
-```
+**Return value:**
 
-The enumerator `freshman` is assigned the value `9`. Subsequent enumerators, if they are not given an explicit value, receive the value of the previous enumerator plus one.
+Enums do not return values directly. They define a new data type that can be used to create variables.
 
-So here:
+## Example 1: Basic Enum Creation in C++
 
-- `freshman` would have the value 9
-- `sophomore` would have the value 10
-- `junior` would have the value 11
-- `senior` would have the value 12
+This example demonstrates how to create a simple enum and use it in a program:
 
-## Codebyte Example
-
-```codebyte/cpp
+```cpp
 #include <iostream>
+using namespace std;
+
+// Define an enum for days of the week
+enum Day {
+  MONDAY,
+  TUESDAY,
+  WEDNESDAY,
+  THURSDAY,
+  FRIDAY,
+  SATURDAY,
+  SUNDAY
+};
 
 int main() {
-  enum quarter_one {
-    january=1,
-    february,
-    march
-  };
+  // Create an enum variable
+  Day today = WEDNESDAY;
 
-  int month = february;
+  // Output the enum value
+  cout << "Today is day number: " << today << endl;
 
-  std::cout << month;
+  return 0;
 }
 ```
 
-## Scoped Enums
+The output of this code is:
 
-Scoped enums are a feature added in C++11.
+```shell
+Today is day number: 2
+```
 
-Scoped enums differ from unscoped enums by:
+In this example, an enum called `Day` is defined with seven constants representing days of the week. By default, `MONDAY` receives the value 0, `TUESDAY` gets 1, and so on. A variable `today` of type `Day` is created and assigned the value `WEDNESDAY`, which holds the integer value 2.
 
-- Containing their constants in their namespace.
-- Being strongly-typed.
-- By containing their constants to their namespace, scoped enumerations avoid name conflicts with other enumerations.
+## Example 2: Changing Values in Enum
 
-## Example
+This example shows how to assign custom values to enum constants:
 
 ```cpp
-enum class WeekDay {sun, mon, tue, wed, thu, fri, sat};
+#include <iostream>
+using namespace std;
+
+// Define an enum with custom values
+enum Priority {
+  LOW = 1,
+  MEDIUM = 5,
+  HIGH = 10,
+  URGENT = 15
+};
 
-WeekDay day = WeekDay::sun; // Notice that "sun" is prefaced with "Weekday::"
-int friday = WeekDay::fri; // error, must cast to an int
-```
+int main() {
+  // Create enum variables
+  Priority taskPriority = HIGH;
+  Priority alertLevel = URGENT;
 
-Here's an example where scoped enumerations avoid name collisions:
+  // Display the values
+  cout << "Task priority: " << taskPriority << endl;
+  cout << "Alert level: " << alertLevel << endl;
 
-```cpp
-enum class LogResult {Success, InvalidFileName, WriteError};
-enum class SocketResult {Success, InvalidAddrError, TimeoutError};
+  // Compare enum values
+  if (alertLevel > taskPriority) {
+    cout << "Alert level is higher than task priority" << endl;
+  }
 
-LogResult logger_result = LogResult::Success;
+  return 0;
+}
+```
 
-if (logger_result == LogResult::Success) {} // Because Success is scoped to LogResult, it doesn't collide with SocketResult::Success
+The output of this code is:
+
+```shell
+Task priority: 10
+Alert level: 15
+Alert level is higher than task priority
 ```
 
-## Enum to Int Conversion
+This example demonstrates how to assign specific integer values to enum constants. When a value is set for one constant, subsequent constants automatically increment from that value unless explicitly assigned. In this case, `LOW` is 1, `MEDIUM` is 5, `HIGH` is 10, and `URGENT` is 15.
 
-In C++, `enum` can be implicitly converted to integers, useful for numeric contexts like array indexing or bitwise operations:
+## Example 3: Enum in a Switch Statement
+
+This example demonstrates using enums with switch statements for control flow:
 
 ```cpp
 #include <iostream>
-enum color { red, green, blue };
+using namespace std;
+
+// Define an enum for traffic light colors
+enum TrafficLight {
+  RED,
+  YELLOW,
+  GREEN
+};
 
 int main() {
-  color c = green;
-  int colorValue = c;  // Implicit conversion to int
-  std::cout << "Color value: " << colorValue;
+  TrafficLight currentLight = RED;
+
+  // Use enum in switch statement
+  switch (currentLight) {
+    case RED:
+      cout << "Stop! Red light is on." << endl;
+      break;
+    case YELLOW:
+      cout << "Caution! Yellow light is on." << endl;
+      break;
+    case GREEN:
+      cout << "Go! Green light is on." << endl;
+      break;
+    default:
+      cout << "Unknown light state." << endl;
+  }
+
+  // Simulate traffic light sequence
+  cout << "\nTraffic light sequence:" << endl;
+  for (int i = RED; i <= GREEN; i++) {
+    TrafficLight light = static_cast<TrafficLight>(i);
+    switch (light) {
+      case RED:
+        cout << "RED -> ";
+        break;
+      case YELLOW:
+        cout << "YELLOW -> ";
+        break;
+      case GREEN:
+        cout << "GREEN";
+        break;
+    }
+  }
+  cout << endl;
+
+  return 0;
 }
 ```
 
-Here is the output:
+The output generated by this code is:
 
 ```shell
-Color value: 1
+Stop! Red light is on.
+
+Traffic light sequence:
+RED -> YELLOW -> GREEN
 ```
 
-Converting an `enum` to `int` is easy, but converting `int` to `enum` is risky as no bounds check is done, leading to undefined behavior if the value is out of range.
+This example shows how enums work perfectly with switch statements, providing clear and readable control flow. The enum values make the code self-documenting and easier to maintain than using magic numbers.
 
-## Custom Underlying Types
+## Codebyte Example: Create Enum Class
 
-By default, an enum's type is `int`, but a smaller type like `unsigned char` can be specified to optimize memory usage:
+This example demonstrates scoped enums (`enum` class) introduced in C++ 11, which provide better type safety and scope control:
 
-```cpp
+```codebyte/cpp
 #include <iostream>
-enum class Permission : unsigned char {
-  Read = 1,
-  Write = 2,
-  Execute = 4
+using namespace std;
+
+// Define enum class for better type safety
+enum class Color {
+  RED,
+  GREEN,
+  BLUE
+};
+
+enum class Size {
+  SMALL,
+  MEDIUM,
+  LARGE
 };
 
 int main() {
-  Permission p = Permission::Write;
-  std::cout << static_cast<int>(p);  // Explicit cast to int
+  // Create enum class variables
+  Color favoriteColor = Color::RED;
+  Size shirtSize = Size::MEDIUM;
+
+  // Display enum class values (requires casting)
+  cout << "Favorite color code: " << static_cast<int>(favoriteColor) << endl;
+  cout << "Shirt size code: " << static_cast<int>(shirtSize) << endl;
+
+  // Enum class prevents implicit conversions
+  // This would cause compilation error:
+  // if (favoriteColor == Size::SMALL) { ... }
+
+  // Use enum class in switch statement
+  switch (favoriteColor) {
+    case Color::RED:
+      cout << "You chose red color!" << endl;
+      break;
+    case Color::GREEN:
+      cout << "You chose green color!" << endl;
+      break;
+    case Color::BLUE:
+      cout << "You chose blue color!" << endl;
+      break;
+  }
+
+  return 0;
 }
 ```
 
-Here, the underlying type of `Permission` is `unsigned char`. The constants `Read`, `Write`, and `Execute` are stored using only 1 byte of memory.
+The text provides information about the strengths of the **Enum class** compared to regular enums. Key advantages include strong typing, which avoids implicit conversion to integers, reduced namespace pollution, and prevention of naming conflicts. Accessing enum class values requires the use of the scope resolution operator (`::`).
 
-This example results in the following output:
+## Frequently Asked Questions
 
-```shell
-2
-```
+### 1. Why use enum instead of array?
+
+Enums are used to define a set of named constants that represent fixed values, while arrays store collections of data. Enums provide compile-time constants that make code more readable and maintainable. Unlike arrays, enums don't allocate memory for storing values at runtime - they're purely symbolic names for integer constants.
+
+### 2. How to get enum value in C++?
+
+You can get the integer value of an enum by simply using the enum constant in an integer context or by explicitly casting it. For regular enums, implicit conversion to int works, but for enum classes, you need `static_cast<int>(enum_value)`.
+
+### 3. Can enum values be strings?
 
-## Best Practices
+No, enum values in C++ are always integers. However, you can create arrays or maps to associate enum values with strings for display purposes.
 
-Here are some best practices for using enums:
+### 4. What's the difference between enum and enum class?
 
-1. Use `enum class` for strong typing: Scoped enums (C++11) prevent implicit int conversions, ensuring better type safety.
-2. Explicit casting: Use `static_cast<int>(enum_value)` for safe conversions.
-3. Avoid magic numbers: Enums replace hardcoded numbers, improving readability.
-4. Use underlying types wisely: Choose the underlying type carefully in memory-constrained environments.
+`enum` class (scoped enums) introduced in C++11 provides better type safety, doesn't pollute the namespace, and prevents implicit conversions. Regular enums allow implicit conversion to integers and their constants are accessible without scope resolution.

From 7a9e9f1c8a91e0a89aa6911e38ef8ba0a9e5ae23 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 29 Jul 2025 23:29:40 +0530
Subject: [PATCH 041/332] [Edit] JavaScript: Arrays: .filter() (#7268)

* [Edit] JavaScript: Arrays: .filter()

* added keywords

* Update filter.md

* Update content/javascript/concepts/arrays/terms/filter/filter.md

* Update content/javascript/concepts/arrays/terms/filter/filter.md

* Update content/javascript/concepts/arrays/terms/filter/filter.md

* Format + Lint

---------
---
 .../concepts/arrays/terms/filter/filter.md    | 143 ++++++++++++------
 1 file changed, 94 insertions(+), 49 deletions(-)

diff --git a/content/javascript/concepts/arrays/terms/filter/filter.md b/content/javascript/concepts/arrays/terms/filter/filter.md
index b5ce9bb1b69..489e0824b9c 100644
--- a/content/javascript/concepts/arrays/terms/filter/filter.md
+++ b/content/javascript/concepts/arrays/terms/filter/filter.md
@@ -1,93 +1,138 @@
 ---
 Title: '.filter()'
-Description: 'Creates a new array with all elements that pass the test from the provided function.'
+Description: 'Creates a new array containing the elements from the original array that pass a test implemented by a provided function.'
 Subjects:
-  - 'Web Development'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
   - 'Arrays'
+  - 'Functions'
   - 'Methods'
+  - 'Filter'
 CatalogContent:
   - 'introduction-to-javascript'
   - 'paths/front-end-engineer-career-path'
 ---
 
-The `.filter()` array method creates a new array with all elements that pass the test from the provided function.
+JavaScript's **`array.filter()`** method creates a new [array](https://www.codecademy.com/resources/docs/javascript/arrays) containing only the elements from the original array that pass a test implemented by a provided [function](https://www.codecademy.com/resources/docs/javascript/functions). It provides a clean and efficient way to extract specific elements from an array based on custom criteria.
 
-## Syntax
+## Syntax of JavaScript's `.filter()`
 
 ```pseudo
-// Arrow function
-array.filter(element => { ... })
-array.filter((element, index) => { ... })
-array.filter((element, index, array) => { ... })
+array.filter(callback(element, index, array), thisArg)
 ```
 
-`.filter()` takes the following parameters:
+**Parameters:**
 
-- `element`: The current element being processed in the array.
-- `index` (optional): The index of the current element being processed in the array.
-- `array` (optional): The array _filter_ was called upon.
+- `callback`: A function that tests each element of the array. It accepts three arguments:
+  - `element`: The current element being processed in the array
+  - `index`: The index of the current element being processed in the array
+  - `array`: The array `.filter()` was called upon
+- `thisArg`: Optional. Value to use as `this` when executing the callback function
 
-The method will return a new array with the elements that pass the test.
+**Return value:**
 
-> **Note:** If no elements pass the test, an empty array will be returned.
+The `.filter()` method returns a new array with all elements that pass the test implemented by the provided function. If no elements pass the test, it returns an empty array.
 
-## Examples
+## Example 1: Basic Array Filtering Using JavaScripts's `.filter()` Method
 
-Filtering out all small values:
+This example demonstrates how to use `.filter()` to extract numbers greater than a specific value from an array:
 
 ```js
-const numbers = [6, 44, 87, 1, 197, 22];
+const numbers = [1, 5, 8, 12, 15, 20];
 
-const filteredNumbers = numbers.filter((num) => num >= 10);
+// Filter numbers greater than 10
+const largeNumbers = numbers.filter(function (number) {
+  return number > 10;
+});
 
-console.log(filteredNumbers);
-// Output: [44, 87, 197, 22]
+console.log(largeNumbers);
 ```
 
-Filtering by index:
+This example results in the following output:
 
-```js
-const numbers = [6, 44, 87, 1, 197, 22];
+```shell
+[12, 15, 20]
+```
 
-const filterByIndex = numbers.filter((element, index) => {
-  return index % 2 === 0;
-});
+The callback function tests each element in the array. Only elements that return `true` from the test function are included in the new array.
 
-console.log(filterByIndex);
-// Output: [6, 87, 197]
-```
+## Example 2: User Data Filtering Using `.filter()` in JavaScript
 
-Filtering out names that don't begin with the given character:
+This example shows how to filter an array of user objects based on specific criteria, which is common in real-world applications:
 
 ```js
-const names = ['Jim', 'Bob', 'Sarah', 'Alex', 'James', 'Sam', 'Peter'];
+const users = [
+  { name: 'Alice', age: 25, isActive: true },
+  { name: 'Bob', age: 17, isActive: false },
+  { name: 'Charlie', age: 30, isActive: true },
+  { name: 'Diana', age: 16, isActive: true },
+];
+
+// Filter active users who are 18 or older
+const eligibleUsers = users.filter(function (user) {
+  return user.isActive && user.age >= 18;
+});
+
+console.log(eligibleUsers);
+```
 
-const filteredNames = (char, array) => {
-  return array.filter((name) => name[0].toLowerCase() === char);
-};
+This example results in the following output:
 
-console.log(filteredNames('j', names));
-// Output: ["Jim", "James"]
+```shell
+[
+  { name: "Alice", age: 25, isActive: true },
+  { name: "Charlie", age: 30, isActive: true }
+]
 ```
 
-## Codebyte Example
+This demonstrates how `.filter()` can handle complex filtering logic by combining multiple conditions within the callback function.
 
-The example below shows `.filter()` being used to filter an array of objects, called `techCompany`, using two criteria.
+## Codebyte Example: Product Search Implementation with `array.filter()`
+
+This example illustrates how to implement a search feature using `.filter()` to match products based on user input:
 
 ```codebyte/javascript
-let techCompany = [
-  {name: 'John Doe', tenure: 8, position: 'Developer'},
-  {name: 'Elisabeth Hills', tenure: 2, position: 'Developer'},
-  {name: 'Izabella Zboncak', tenure: 4, position: 'Finance'},
-  {name: 'Jane Smith', tenure: 11, position: 'Developer'},
-  {name: 'Mo DuBuque', tenure: 3, position: 'HR'},
-  {name: 'Markus Pagac', tenure: 9, position: 'CEO'},
-  {name: 'Jack Jakubowski', tenure: 7, position: 'Developer'}
+const products = [
+  { name: "Laptop", category: "Electronics", price: 999 },
+  { name: "Coffee Maker", category: "Kitchen", price: 79 },
+  { name: "Wireless Mouse", category: "Electronics", price: 25 },
+  { name: "Blender", category: "Kitchen", price: 45 }
 ];
 
-let employees = techCompany.filter(company => company.tenure >= 5 && company.position == 'Developer');
-
-console.log(employees)
+// Function to search products by name or category
+function searchProducts(products, searchTerm) {
+  return products.filter(function(product) {
+    return product.name.toLowerCase().includes(searchTerm.toLowerCase()) ||
+           product.category.toLowerCase().includes(searchTerm.toLowerCase());
+  });
+}
+
+// Search for electronics
+const electronicsResults = searchProducts(products, "electronics");
+console.log(electronicsResults);
+
+// Search for products with "coffee" in the name
+const coffeeResults = searchProducts(products, "coffee");
+console.log(coffeeResults);
 ```
+
+The `searchProducts()` function demonstrates how `.filter()` can be used to create flexible search functionality that matches multiple fields and handles case-insensitive searches.
+
+## Frequently Asked Questions
+
+### 1. Does `.filter()` modify the original array?
+
+No, `.filter()` creates and returns a new array. The original array remains unchanged.
+
+### 2. What happens if no elements pass the test?
+
+If no elements pass the test, `.filter()` returns an empty array `[]`.
+
+### 3. Can I use `.filter()` with arrow functions?
+
+Yes, `.filter()` works with arrow functions. For example: `array.filter(item => item > 5)`.
+
+### 4. What's the difference between `.filter()` and `.find()`?
+
+`.filter()` returns an array of all matching elements, while `.find()` returns only the first matching element or `undefined` if no match is found.

From 5fc53b680a4378789772134e7b4e9c1e12223758 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Wed, 30 Jul 2025 23:07:00 +0530
Subject: [PATCH 042/332] [Edit] R: Conditionals (#7303)

* [Edit] R: Conditionals

* SEO changes

* Update conditionals.md

* Apply suggestions

---------
---
 .../r/concepts/conditionals/conditionals.md   | 224 ++++++++++--------
 media/if-statement-flowchart.png              | Bin 0 -> 132034 bytes
 2 files changed, 119 insertions(+), 105 deletions(-)
 create mode 100644 media/if-statement-flowchart.png

diff --git a/content/r/concepts/conditionals/conditionals.md b/content/r/concepts/conditionals/conditionals.md
index eb58732ce29..2e3baff5fc2 100644
--- a/content/r/concepts/conditionals/conditionals.md
+++ b/content/r/concepts/conditionals/conditionals.md
@@ -1,182 +1,196 @@
 ---
 Title: 'Conditionals'
-Description: 'Conditional statements return a boolean value that provides control flow in a program.'
+Description: 'Conditionals allow users to control the flow of a program based on certain conditions.'
 Subjects:
-  - 'Conditional Statements'
-  - 'Comparison Operators'
-  - 'Logical Operators'
+  - 'Data Science'
+  - 'Machine Learning'
 Tags:
-  - 'Conditionals'
+  - 'Booleans'
   - 'Comparison'
+  - 'Conditionals'
   - 'Logic'
 CatalogContent:
   - 'learn-r'
   - 'paths/computer-science'
 ---
 
-**Conditional** statements in R allow the control of flow in programs based on certain conditions. Using these statements different blocks of code can be executed depending on whether a condition is true or false.
+In R, conditionals help control the flow of a program. They evaluate Boolean expressions and execute certain blocks of code depending on whether the expression evaluates to `TRUE` or `FALSE`. This is especially useful while working with dynamic data, automating tasks, or writing functions with variable behavior.
 
-## If Statement
+## R If Statement
 
-The `if` statement is used to execute a block of code if a condition is true. The general syntax is:
+The R `if` statement is used to run a block of code if a condition is `TRUE`.
 
-```pseudo
-if (condition) {
-  # Code to be executed if condition is true
-}
-```
+Here is a flowchart that showcases the flow of the `if` statement in R:
 
-## If-Else Statement
+![R If statement flowchart](https://raw.githubusercontent.com/Codecademy/docs/main/media/if-statement-flowchart.png)
 
-The `if-else` statement allows the execution of a block of code if a condition is true, and another block of code if the condition is false. The general syntax is:
+### R If Statement Syntax
 
 ```pseudo
 if (condition) {
-  # Code to be executed if condition is true
-} else {
-  # Code to be executed if condition is false
+  # Code to execute if condition is TRUE
 }
 ```
 
-Examples of `if-else` statements:
+### R If Statement Example
+
+This example demonstrates the usage of the `if` statement in R:
 
 ```r
-# If Statement
 x <- 10
 
-if (x > 5) {
-  print("x is greater than 5")
+if (x > 6) {
+  print("x is greater than 6")
 }
-# In this example, the code inside the if block will be executed because the condition x > 5 is true.
+```
 
+Here is the output:
 
-# If-Else Statement
-x <- 3
+```shell
+[1] "x is greater than 6"
+```
+
+## R If-Else Statement
+
+The R `if-else` statement allows the execution of a block of code if a condition is `TRUE`, and a separate block of code if the condition is `FALSE`.
+
+### R If-Else Statement Syntax
 
-if (x > 5) {
-  print("x is greater than 5")
+```pseudo
+if (condition) {
+  # Code to execute if condition is TRUE
 } else {
-  print("x is less than or equal to 5")
+  # Code to execute if condition is FALSE
 }
-# In this example, since the condition x > 5 is false, the code inside the else block will be executed.
 ```
 
-## Comparison Operators
-
-Comparison operators in R allow the comparison of values and produce logical results. Here are some commonly used comparison operators:
-
-- `<` (less than): Returns `TRUE` if the left operand is less than the right operand.
-- `>` (greater than): Returns `TRUE` if the left operand is greater than the right operand.
-- `==` (equal to): Returns `TRUE` if the left operand is equal to the right operand.
-- `!=` (not equal to): Returns `TRUE` if the left operand is not equal to the right operand.
-- `<=` (less than or equal to): Returns `TRUE` if the left operand is less than or equal to the right operand.
-- `>=` (greater than or equal to): Returns `TRUE` if the left operand is greater than or equal to the right operand.
+### R If-Else Statement Example
 
-Examples of comparison operators in R:
+This example demonstrates the usage of the `if-else` statement in R:
 
 ```r
-# Less than (<)
-x <- 5
-y <- 10
+x <- 3
 
-if (x < y) {
-  print("x is less than y")
+if (x > 6) {
+  print("x is greater than 6")
+} else {
+  print("x is less than or equal to 6")
 }
-# Output: x is less than y
+```
 
+Here is the output:
 
-# Greater than (>)
-x <- 5
-y <- 10
+```shell
+[1] "x is less than or equal to 6"
+```
 
-if (x > y) {
-  print("x is greater than y")
-}
-# No output in this case
+## R Else-If Statement
 
+When there is a need to check multiple conditions, the R `else-if` statement can be used to evaluate them sequentially.
 
-# Equal to (==)
-x <- 5
-y <- 5
+### R Else-If Statement Syntax
 
-if (x == y) {
-  print("x is equal to y")
+```pseudo
+if (condition1) {
+  # Code if condition1 is TRUE
+} else if (condition2) {
+  # Code if condition2 is TRUE
+} else {
+  # Code if all conditions are FALSE
 }
-# Output: x is equal to y
+```
 
+### R Else-If Statement Example
 
-# Not equal to (!=)
+This example demonstrates the usage of the `else-if` statement in R:
+
+```r
 x <- 5
-y <- 10
 
-if (x != y) {
-  print("x is not equal to y")
+if (x > 12) {
+  print("x is greater than 12")
+} else if (x == 5) {
+  print("x is equal to 5")
+} else {
+  print("x is less than 12 and not equal to 5")
 }
-# Output: x is not equal to y
+```
 
+Here is the output:
 
-# Less than or equal to (<=)
-x <- 5
-y <- 10
+```shell
+[1] "x is equal to 5"
+```
+
+## Nested R If Statement
+
+R `if` statements can be nested within each other for more complex logical checks.
 
-if (x <= y) {
-  print("x is less than or equal to y")
+### Nested R If Statement Syntax
+
+```pseudo
+if (condition1) {
+  if (condition2) {
+    # Code to execute if both condition1 and condition2 are TRUE
+  }
 }
-# Output: x is less than or equal to y
+```
 
+### Nested R If Statement Example
 
-# Greater than or equal to (>=)
-x <- 5
-y <- 5
+This example demonstrates the usage of nested `if` statements in R:
+
+```r
+x <- 8
+y <- 3
 
-if (x >= y) {
-  print("x is greater than or equal to y")
+if (x > 6) {
+  if (y < 6) {
+    print("x is greater than 6 and y is less than 6")
+  }
 }
-# Output: x is greater than or equal to y
 ```
 
-These operators are commonly used in conditional statements to compare values and make decisions.
+Here is the output:
 
-## Logical Operators
+```shell
+[1] "x is greater than 6 and y is less than 6"
+```
 
-Logical operators in R can be used to combine or negate logical values. Here are the commonly used logical operators:
+## Frequently Asked Questions
 
-- `&&` (and): Returns `TRUE` if both the left and right operands are `TRUE`.
-- `||` (or): Returns `TRUE` if either the left or right operand is `TRUE`.
-- `!` (not): Negates a logical value. If the operand is `TRUE`, it returns `FALSE`, and if the operand is `FALSE`, it returns `TRUE`.
+### 1. Can I use conditionals in a vectorized way in R?
 
-Examples of logical operators in R:
+Yes, you can use the R `ifelse()` function for vectorized operations:
 
 ```r
-# AND (&&)
-x <- 5
-y <- 10
+x <- c(2, 5, 8)
 
-if (x > 0 && y > 0) {
-  print("Both x and y are positive")
-}
-# Output: Both x and y are positive
+result <- ifelse(x > 5, "High", "Low")
 
+print(result) # Output: [1] "Low"  "Low"  "High"
+```
 
-# OR (||)
-x <- 5
-y <- -10
+### 2. What’s the difference between R `if` and `ifelse()`?
 
-if (x > 0 || y > 0) {
-  print("Either x or y is positive")
-}
-# Output: Either x or y is positive
+- `if` statement in R is used for single, scalar conditions.
+- `ifelse()` function in R is vectorized and works over entire vectors.
 
+### 3. Can I use logical operators in R conditionals?
 
-# NOT (!)
-x <- 5
+Yes. You can combine conditions using `&` (AND), `|` (OR), and `!` (NOT):
 
-if (!(x == 10)) {
-  print("x is not equal to 10")
-}
-# Output: x is not equal to 10
+```r
+x <- 4
+if (x > 2 & x < 10) {
+  print("x is between 2 and 10")
+} # Output: [1] "x is between 2 and 10"
 ```
 
-Logical operators are often used to combine multiple conditions in conditional statements or to negate a condition.
+### 4. What are the three elements of the `if` statement in R?
+
+The three elements of an `if` statement in R are:
 
-These are the basic conditional statements, comparison operators, and logical operators in R. They can be leveraged to control the flow of a program, compare values, and make decisions based on specific conditions.
+- **Condition**: A logical expression that evaluates to `TRUE` or `FALSE`.
+- **Code block for `TRUE`**: The set of statements to execute if the condition is `TRUE`.
+- **Optional `else` block**: A set of statements to run if the condition is `FALSE`.
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From 91b92373eb9ed38a28ff254c6b1b29aead158c70 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Wed, 30 Jul 2025 23:14:57 +0530
Subject: [PATCH 043/332] [Edit] PHP: Arrays (#7207)

* [Edit] PHP: Arrays

* SEO changes

* Update arrays.md

---------
---
 content/php/concepts/arrays/arrays.md | 288 +++++++++++++++++++++++---
 1 file changed, 259 insertions(+), 29 deletions(-)

diff --git a/content/php/concepts/arrays/arrays.md b/content/php/concepts/arrays/arrays.md
index f2718a434ef..6e93abc018f 100644
--- a/content/php/concepts/arrays/arrays.md
+++ b/content/php/concepts/arrays/arrays.md
@@ -1,59 +1,289 @@
 ---
 Title: 'Arrays'
-Description: 'In PHP, an array is an ordered map that can hold more than one value.'
+Description: 'PHP arrays are special variables that can hold more than one value at a time.'
 Subjects:
-  - 'Web Development'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
   - 'Arrays'
   - 'Data Types'
+  - 'Functions'
+  - 'Values'
 CatalogContent:
   - 'learn-php'
-  - 'paths/front-end-engineer-career-path'
   - 'paths/computer-science'
 ---
 
-An array can hold more than one value. In PHP, they're stored as value pairs that in other languages would be called a dictionary or a hashtable. Keys can be strings or integers.
+PHP **arrays** are special variables that can hold more than one value at a time. Rather than creating multiple variables to store related data, arrays group data logically under one variable name. PHP supports three main types of arrays:
+
+- **Indexed Arrays**: Arrays having a numeric index.
+- **Associative Arrays**: Arrays having named keys.
+- **Multidimensional Arrays**: Arrays having one or more arrays in it.
+
+## Creating PHP Arrays
+
+There are different ways to create a PHP array. Let's check them out one-by-one.
+
+### Indexed Arrays
+
+The PHP `array()` construct can be used to create an indexed array:
+
+```php
+$colors = array("Red", "Green", "Blue");
+```
+
+Here is a shorter syntax that can also be used to create an indexed array:
+
+```php
+$colors = ["Red", "Green", "Blue"];
+```
+
+### Associative Arrays
+
+An associative array can be created like this:
+
+```php
+$person = [
+  "name" => "John",
+  "age" => 30,
+  "email" => "john@example.com"
+];
+```
+
+### Multidimensional Arrays
+
+A multidimensional array can be created like this:
+
+```php
+$users = [
+  ["name" => "Alice", "age" => 25],
+  ["name" => "Bob", "age" => 28]
+];
+```
+
+## Accessing PHP Arrays
+
+There are different ways to access the elements of a PHP array. Let's check them out one-by-one.
+
+### Indexed Arrays
+
+This example accesses the first item in the indexed array `colors`:
 
-## Syntax
+```php
+<?php
+$colors = ["Red", "Green", "Blue"];
+
+echo $colors[0]; // Output: Red
+?>
+```
+
+### Associative Arrays
+
+This example accesses the value associated with the `"name"` key in the associative array `person`:
+
+```php
+<?php
+$person = [
+  "name" => "John",
+  "age" => 30
+];
+
+echo $person["name"]; // Output: John
+?>
+```
+
+### Multidimensional Arrays
 
-There are several methods of declaring an array in PHP. The `array()` function can be used, either with key-value pairs, or with values alone. Single brackets, `[...]` can also be used in place of the `array()` keyword. If any key value is omitted, the key will be found by incrementing the largest prior integer key. If a key is repeated, the new value will overwrite the prior key.
+This example accesses the value associated with the `"name"` key for the second user in the multidimensional array `users`:
 
 ```php
 <?php
-// The last comma can be omitted
-$array1 = array( "item 1" => "one", "item 2" => "two", "item 3" => "three", );
+$users = [
+  ["name" => "Alice", "age" => 25],
+  ["name" => "Bob", "age" => 28]
+];
 
-echo $array1["item 1"], ";", $array1["item 2"], ";", $array1["item 3"];
-// Output: one;two;three
+echo $users[1]["name"]; // Output: Bob
+?>
+```
 
-$array2 = array("one", "two", "three");
+## Updating PHP Arrays
 
-echo $array2[0], ";", $array2[1], ";", $array2[2];
-// Output: one;two;three
+This example updates the second item of the indexed array `colors` and the value associated with the key `"age"` in the associative array `person`:
 
-$array3 = ["one", 5 => "two", "three"];
+```php
+<?php
+$colors = ["Red", "Green", "Blue"];
 
-echo $array3[0], ";", $array3[5], ";", $array3[6];
-// Output: one;two;three
+$colors[1] = "Yellow";
 
-$array4 = [5 => "one", 5.7 => "two", "5" => "three"];
+$person = [
+  "name" => "John",
+  "age" => 30
+];
 
-echo $array4[5];
-// Output: three
+$person["age"] = 31;
+
+print_r($colors[1]);
+print_r("\n");
+print_r($person["age"]);
 ?>
 ```
 
-When defining an array, the following key casts will occur:
+Here is the output:
+
+```shell
+Yellow
+31
+```
+
+## Adding Items to a PHP Array
+
+This example adds a new item to the indexed array `colors` and a new key-value pair to the associative array `person`:
 
-- Strings containing valid `int` types, unless preceded by a `+` sign, will be cast to an `int` type key.
-  As in the above example `"5"` is treated as `5`.
-- `float` types will be cast to `int` types, truncating the fractional part.
-  As in the above example `5.7` is treated as `5`.
-- `bool` types are cast to `int` types. `true` is stored as `1` and `false` stored as `0`.
-- `null` will be cast as the empty string, `""`.
-- Arrays and objects cannot be used as keys and will result in an error: `Illegal offset type`.
+```php
+<?php
+$colors = ["Red", "Green"];
 
-## Array Functions
+$colors[] = "Purple";
 
-Below is a list of selected array functions:
+$person = [
+  "name" => "John",
+  "age" => 30
+];
+
+$person["city"] = "New York";
+
+print_r($colors);
+print_r("\n");
+print_r($person);
+?>
+```
+
+Here is the output:
+
+```shell
+Array
+(
+  [0] => Red
+  [1] => Green
+  [2] => Purple
+)
+
+Array
+(
+  [name] => John
+  [age] => 30
+  [city] => New York
+)
+```
+
+## Removing Items from a PHP Array
+
+This codebyte example uses the `unset()` function to remove an item from the indexed array `colors` and a key-value pair from the associative array `person`:
+
+```codebyte/php
+<?php
+$colors = ["Red", "Green", "Blue"];
+
+unset($colors[2]);
+
+$person = [
+  "name" => "John",
+  "email" => "john@example.com"
+];
+
+unset($person["email"]);
+
+print_r($colors);
+print_r("\n");
+print_r($person);
+?>
+```
+
+## Frequently Asked Questions
+
+### 1. How do I check if a value exists in a PHP array?
+
+You can check if a value exists in a PHP array using `in_array()` and `array_key_exists()`:
+
+```php
+<?php
+$colors = ["Red", "Green", "Blue"];
+$person = ["name" => "Alice", "age" => 25];
+
+if (in_array("Red", $colors)) {
+  echo "Red is in the array.\n";
+}
+
+if (array_key_exists("name", $person)) {
+  echo "The 'name' key exists.\n";
+}
+?>
+```
+
+Here is the output:
+
+```shell
+Red is in the array.
+The 'name' key exists.
+```
+
+### 2. How can I loop through a PHP array?
+
+You can use `foreach` to loop through a PHP array:
+
+```php
+<?php
+$colors = ["Red", "Green", "Blue"];
+
+foreach ($colors as $color) {
+  echo $color . "\n";
+}
+
+$person = ["name" => "Alice", "age" => 25];
+
+foreach ($person as $key => $value) {
+  echo "$key: $value\n";
+}
+?>
+```
+
+Here is the output:
+
+```shell
+Red
+Green
+Blue
+name: Alice
+age: 25
+```
+
+### 3. How do I count the number of elements in a PHP array?
+
+You can use the built-in `count()` function to determine how many elements a PHP array contains:
+
+```php
+<?php
+$colors = ["Red", "Green", "Blue"];
+
+echo "Total colors: " . count($colors);
+
+print_r("\n");
+
+$person = [
+  "name" => "John",
+  "age" => 30,
+  "email" => "john@example.com"
+];
+
+echo "Total fields: " . count($person);
+?>
+```
+
+Here is the output:
+
+```shell
+Total colors: 3
+Total fields: 3
+```

From 05d6f19a66d3a0c310c3d2aa9dee857b4dd9b2cc Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 31 Jul 2025 15:07:31 +0530
Subject: [PATCH 044/332] [Edit] CSS: flexbox: flex-grow (#7301)

* [Edit] CSS: flexbox: flex-grow

* Add files via upload

* added keywords

* added keywords to images

* Update content/css/concepts/flexbox/terms/flex-grow/flex-grow.md

* Update content/css/concepts/flexbox/terms/flex-grow/flex-grow.md

* Update content/css/concepts/flexbox/terms/flex-grow/flex-grow.md

* Update content/css/concepts/flexbox/terms/flex-grow/flex-grow.md

---------
---
 .../flexbox/terms/flex-grow/flex-grow.md      | 250 ++++++++++++++++--
 media/flex-grow1.png                          | Bin 0 -> 4093 bytes
 media/flex-grow2.png                          | Bin 0 -> 6721 bytes
 media/flex-grow3.png                          | Bin 0 -> 39413 bytes
 4 files changed, 229 insertions(+), 21 deletions(-)
 create mode 100644 media/flex-grow1.png
 create mode 100644 media/flex-grow2.png
 create mode 100644 media/flex-grow3.png

diff --git a/content/css/concepts/flexbox/terms/flex-grow/flex-grow.md b/content/css/concepts/flexbox/terms/flex-grow/flex-grow.md
index ffb29d03ec0..73d2d0ce60c 100644
--- a/content/css/concepts/flexbox/terms/flex-grow/flex-grow.md
+++ b/content/css/concepts/flexbox/terms/flex-grow/flex-grow.md
@@ -1,56 +1,264 @@
 ---
 Title: 'flex-grow'
-Description: 'A property that specifies how much space an item may occupy relative to the other items in the container. An item assigned a flex-grow value of 3, will stretch to occupy 3 times more space than an item assigned a value of 1.'
+Description: 'Specifies how much a flex item should grow relative to other flex items.'
 Subjects:
-  - 'Web Development'
+  - 'Code Foundations'
   - 'Web Design'
+  - 'Web Development'
 Tags:
+  - 'CSS'
   - 'Flexbox'
-  - 'Layout'
+  - 'Responsive'
 CatalogContent:
   - 'learn-css'
   - 'paths/front-end-engineer-career-path'
-  - 'paths/full-stack-engineer-career-path'
 ---
 
-A property that specifies how much space an item may occupy relative to the other items in the container. An item assigned a flex-grow value of 3, will stretch to occupy 3 times more space than an item assigned a value of 1.
+The **`flex-grow`** property is a CSS [flexbox](https://www.codecademy.com/resources/docs/css/flexbox) property that defines how much a flex item should grow relative to the remaining flex items inside the same flex container. It specifies the grow factor of a flex item, which determines how much of the available space in the flex container should be assigned to that item.
+
+## Syntax of CSS `flex-grow`
+
+```pseudo
+flex-grow: <number>
+```
+
+**Parameters:**
+
+- `<number>`: A unitless number that specifies the grow factor for the flex item. The default value is 0, which means the item will not grow to fill available space.
+
+**Return value:**
+
+This property does not return a value. It modifies how flex items distribute available space within their container.
+
+## Example 1: Basic Usage of `flex-grow`
+
+This example demonstrates the fundamental concept of `flex-grow` with three flex items having different grow factors:
 
-## Syntax
+The HTML code is:
+
+```html
+<div class="container">
+  <div class="item item1">Item 1</div>
+  <div class="item item2">Item 2</div>
+  <div class="item item3">Item 3</div>
+</div>
+```
+
+The CSS code is:
 
 ```css
-#element-container {
+.container {
   display: flex;
-  flex-grow: <flex-value>;
+  width: 100%;
+  height: 60px;
+  border: 2px solid #333;
+}
+
+.item {
+  background-color: #4caf50;
+  color: white;
+  padding: 20px;
+  margin: 5px;
+  text-align: center;
+}
+
+.item1 {
+  flex-grow: 1;
+}
+
+.item2 {
+  flex-grow: 2;
+}
+
+.item3 {
+  flex-grow: 1;
 }
 ```
 
-The `<flex-value>` should be an integer or decimal value. The default value is zero, which limits an item to the initial or default size regardless of the available space.
+The output of this code is:
+
+![Three flex items in a horizontal container where the middle item (Item 2) is twice as wide as the other two items due to flex-grow: 2](https://raw.githubusercontent.com/Codecademy/docs/main/media/flex-grow1.png)
 
-## Example 1
+In this example, Item 2 gets twice as much of the available extra space because it has a **flex-grow** value of 2, while the others have a value of 1. The available space is distributed proportionally based on these values.
+
+## Example 2: Creating a Responsive Navigation Bar Using `flex-grow`
+
+This example shows how to use `flex-grow` to create a responsive navigation bar where the search input expands to fill available space:
+
+The HTML code is:
+
+```html
+<nav class="navbar">
+  <div class="nav-brand">Logo</div>
+  <input type="text" class="search-input" placeholder="Search..." />
+  <div class="nav-links">
+    <a href="#">Home</a>
+    <a href="#">About</a>
+    <a href="#">Contact</a>
+  </div>
+</nav>
+```
 
-Item three will stretch to occupy twice as much space as the other items:
+The CSS code is:
 
 ```css
-#main-container {
-  margin: 2% 1% 0 1%;
+.navbar {
   display: flex;
-  flex-flow: row wrap;
-  justify-content: space-around;
-  align-items: stretch;
+  align-items: center;
+  background-color: #333;
+  padding: 10px 20px;
+  color: white;
 }
 
-#item-1 {
-  display: flex;
+.nav-brand {
+  font-weight: bold;
+  margin-right: 20px;
+}
+
+.search-input {
   flex-grow: 1;
+  padding: 8px 12px;
+  border: none;
+  border-radius: 4px;
+  margin: 0 20px;
+}
+
+.nav-links {
+  display: flex;
+  gap: 15px;
+}
+
+.nav-links a {
+  color: white;
+  text-decoration: none;
+  padding: 5px 10px;
 }
+```
+
+The output of this code is:
 
-#item-2 {
+![A horizontal navigation bar created using CSS flex-grow, featuring a logo on the left, an expandable search input in the center, and navigation links on the right](https://raw.githubusercontent.com/Codecademy/docs/main/media/flex-grow2.png)
+
+In this navigation bar, the search input has `flex-grow: 1`, which means it will expand to fill all available space between the logo and navigation links, creating a responsive layout that works on different screen sizes.
+
+## Example 3: Using `flex-grow` to Build a Dashboard Layout
+
+This example demonstrates using `flex-grow` to create a dashboard layout with a sidebar and main content area:
+
+The HTML code is:
+
+```html
+<div class="dashboard">
+  <aside class="sidebar">
+    <h3>Navigation</h3>
+    <ul>
+      <li><a href="#">Dashboard</a></li>
+      <li><a href="#">Analytics</a></li>
+      <li><a href="#">Reports</a></li>
+      <li><a href="#">Settings</a></li>
+    </ul>
+  </aside>
+  <main class="main-content">
+    <h1>Dashboard Content</h1>
+    <p>This is the main content area that expands to fill available space.</p>
+    <div class="content-cards">
+      <div class="card">Card 1</div>
+      <div class="card">Card 2</div>
+      <div class="card">Card 3</div>
+    </div>
+  </main>
+</div>
+```
+
+The CSS code is:
+
+```css
+.dashboard {
   display: flex;
+  height: 100vh;
+  font-family: Arial, sans-serif;
+}
+
+.sidebar {
+  width: 250px;
+  background-color: #2c3e50;
+  color: white;
+  padding: 20px;
+}
+
+.sidebar h3 {
+  margin-top: 0;
+  border-bottom: 1px solid #34495e;
+  padding-bottom: 10px;
+}
+
+.sidebar ul {
+  list-style: none;
+  padding: 0;
+}
+
+.sidebar ul li {
+  margin: 10px 0;
+}
+
+.sidebar ul li a {
+  color: white;
+  text-decoration: none;
+  padding: 8px 12px;
+  display: block;
+  border-radius: 4px;
+}
+
+.sidebar ul li a:hover {
+  background-color: #34495e;
+}
+
+.main-content {
   flex-grow: 1;
+  background-color: #ecf0f1;
+  padding: 30px;
+  overflow-y: auto;
 }
 
-#item-3 {
+.content-cards {
   display: flex;
-  flex-grow: 2;
+  gap: 20px;
+  margin-top: 20px;
+}
+
+.card {
+  flex-grow: 1;
+  background-color: white;
+  padding: 20px;
+  border-radius: 8px;
+  box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
 }
 ```
+
+The output of this code is:
+
+![A full-screen dashboard layout using CSS flex-grow, with a dark sidebar on the left containing a navigation menu and a light main content area on the right displaying three equal-width cards](https://raw.githubusercontent.com/Codecademy/docs/main/media/flex-grow3.png)
+
+In this dashboard layout, the sidebar has a fixed width, while the main content area uses `flex-grow: 1` to expand and fill all remaining horizontal space. The cards within the main content also use `flex-grow: 1` to distribute space equally among themselves.
+
+## Frequently Asked Questions
+
+### 1. What is the difference between Flex 1 and Flex Grow?
+
+`flex-grow` is a specific property that only controls how much a flex item should grow, while `flex: 1` is a shorthand property that sets `flex-grow: 1`, `flex-shrink: 1`, and `flex-basis: 0%` simultaneously. Using `flex: 1` is often preferred as it provides more predictable behavior.
+
+### 2. How to increase flex size?
+
+To increase the size of a flex item, you can increase its `flex-grow` value. Higher values make the item take up more of the available space. For example, changing from `flex-grow: 1` to `flex-grow: 2` will make the item grow twice as much relative to other items.
+
+### 3. How to flex grow vertically?
+
+`flex-grow` works along the main axis of the flex container. To make items grow vertically, set the flex container's `flex-direction` to `column` or `column-reverse`. The `flex-grow` property will then distribute available vertical space among the flex items.
+
+### 4. Can Flex grow larger than parent?
+
+`flex-grow` distributes available space within the container, but flex items can become larger than their container's content area due to their content, `flex-basis`, or minimum size constraints. However, `flex-grow` itself only works with available extra space.
+
+### 5. What is CSS flexbox used for?
+
+CSS flexbox is used for creating flexible and responsive layouts. It's particularly useful for distributing space among items in a container, aligning items, and creating layouts that adapt to different screen sizes. Common use cases include navigation bars, card layouts, centering content, and building responsive grid systems.
diff --git a/media/flex-grow1.png b/media/flex-grow1.png
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From a139249c3c6ecd204be68e1110819b1237d63e20 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 31 Jul 2025 15:16:24 +0530
Subject: [PATCH 045/332] [Edit] CSS: Filter-functions: drop-shadow() (#7322)

* [Edit] CSS: Filter-functions: drop-shadow()

* Update drop-shadow.md

* Add files via upload

* added keywords

* Update content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md

* Update content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md

* Update content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md

* Update content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md

* Update content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md

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diff --git a/content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md b/content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md
index e075014460e..0db4eec135d 100644
--- a/content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md
+++ b/content/css/concepts/filter-functions/terms/drop-shadow/drop-shadow.md
@@ -1,52 +1,218 @@
 ---
 Title: 'drop-shadow()'
-Description: 'Creates a drop shadow effect on an element.'
+Description: 'Creates a drop shadow effect behind an element that follows the actual shape of the element.'
 Subjects:
-  - 'Web Development'
   - 'Web Design'
+  - 'Web Development'
 Tags:
-  - 'Images'
-  - 'Functions'
-  - 'Colors'
+  - 'CSS'
+  - 'Design'
+  - 'Effects'
+  - 'Filters'
 CatalogContent:
   - 'learn-css'
   - 'paths/front-end-engineer-career-path'
-  - 'paths/full-stack-engineer-career-path'
 ---
 
-Creates a drop shadow effect on an element.
+CSS **`drop-shadow()`** is a filter function that creates a drop shadow effect behind an element. Unlike the `box-shadow` property that creates a shadow around an element's entire box, the `drop-shadow()` function creates a shadow that follows the actual shape of the element, including transparent areas and complex shapes like images with cut-out backgrounds.
 
 ## Syntax
 
+```pseudo
+filter: drop-shadow(offset-x offset-y blur-radius color);
+```
+
+**Parameters:**
+
+- `offset-x`: Sets the horizontal offset of the shadow. Positive values move the shadow to the right, negative values move it to the left.
+- `offset-y`: Sets the vertical offset of the shadow. Positive values move the shadow down, negative values move it up.
+- `blur-radius`: Optional parameter that sets the blur radius of the shadow, creating a softer edge. Larger values create more blur. If omitted, the shadow has a sharp edge.
+- `color`: Optional parameter that sets the color of the shadow. If omitted, the shadow defaults to black.
+
+The `drop-shadow()` function returns a filtered version of the input element with the specified shadow effect applied.
+
+## Example 1: Using CSS `drop-shadow()` to Create a Basic Drop Shadow
+
+This example demonstrates how to apply a basic drop shadow to a text element using the `drop-shadow()` function.
+
+The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Basic Drop Shadow Example</title>
+    <link rel="stylesheet" type="text/css" href="style.css" />
+  </head>
+
+  <body>
+    <h1>Basic Drop Shadow Example</h1>
+    <div class="text-element">Sample Text</div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
 ```css
-filter: drop-shadow(<offset-h> <offset-v> <blur> <color>);
+body {
+  text-align: center;
+  padding: 50px;
+  background-color: #f0f0f0;
+  font-family: Arial, sans-serif;
+}
+
+.text-element {
+  font-size: 48px;
+  font-weight: bold;
+  color: #333;
+  filter: drop-shadow(5px 5px 10px gray);
+  margin: 20px;
+}
 ```
 
-- `<offset-h>` (required): The horizontal offset of the shadow. Negative values will move the shadow to the left.
-- `<offset-v>` (required): The vertical offset of the shadow. Negative values will move the shadow up.
-- `<blur>` (optional): The blur of the shadow. A default value of `0` will create a hard shadow.
-- `<color>` (optional): The color of the shadow. If unset, the value will be the `color` property value.
+The output of this code is:
+
+![Text element with a grey drop shadow offset 5 pixels right and down with 10-pixel blur radius](https://raw.githubusercontent.com/Codecademy/docs/main/media/drop-shadow1.png)
+
+The image will display with a grey drop shadow offset 5 pixels to the right and 5 pixels down, with a 10-pixel blur radius. This creates a subtle shadow effect that adds depth to the image.
+
+## Example 2: Colored Shadow Effect With CSS `drop-shadow()`
+
+This example shows how to create a vibrant, colored shadow effect for design elements, commonly used in modern web design.
 
-## Example 1
+The HTML code is:
 
-Give the image a drop shadow offset horizontally `12px`, vertically `12px` with a blur of `5px` and a color of `red`.
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Colored Drop Shadow Example</title>
+    <link rel="stylesheet" type="text/css" href="style.css" />
+  </head>
+
+  <body>
+    <h1>Colored Drop Shadow Example</h1>
+    <div class="card colored-shadow">Modern Card Design</div>
+  </body>
+</html>
+```
+
+The CSS code is:
 
 ```css
-.banner-image {
-  filter: drop-shadow(12px 12px 5px red);
+body {
+  text-align: center;
+  padding: 50px;
+  background-color: #1a1a1a;
+}
+
+h1 {
+  color: white;
+}
+
+.colored-shadow {
+  filter: drop-shadow(0 8px 16px rgba(255, 0, 150, 0.6));
+  margin: 20px;
+  border-radius: 10px;
+}
+
+.card {
+  background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+  width: 250px;
+  height: 150px;
+  margin: 0 auto;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  color: white;
+  font-size: 18px;
+  font-weight: bold;
 }
 ```
 
-## Example 2
+The output of this code is:
+
+![Modern gradient card with vibrant pink-purple colored drop shadow creating a floating effect](https://raw.githubusercontent.com/Codecademy/docs/main/media/drop-shadow2.png)
+
+This example creates a modern card with a pink-purple colored shadow that enhances the visual appeal and creates a floating effect commonly seen in contemporary web design.
+
+## Example 3: Creating Multiple Shadow Layers Using CSS `drop-shadow()`
+
+This example demonstrates how to create complex shadow effects by combining multiple `drop-shadow()` functions for a more realistic depth effect.
 
-Give the image a drop shadow offset horizontally `-12px`, vertically `-12px` with a blur of `2em` and a color of `purple`.
+The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Multiple Drop Shadow Example</title>
+    <link rel="stylesheet" type="text/css" href="style.css" />
+  </head>
+
+  <body>
+    <h1>Multiple Drop Shadow Example</h1>
+    <div class="icon multiple-shadows">★</div>
+    <p>This icon uses multiple shadow layers to create realistic depth</p>
+  </body>
+</html>
+```
+
+The CSS code is:
 
 ```css
-.banner-image {
-  filter: drop-shadow(-12px -12px 2em purple);
+body {
+  text-align: center;
+  padding: 50px;
+  background-color: #f5f5f5;
+}
+
+.multiple-shadows {
+  filter: drop-shadow(2px 2px 4px rgba(0, 0, 0, 0.3)) drop-shadow(
+      6px 6px 12px rgba(0, 0, 0, 0.2)
+    )
+    drop-shadow(12px 12px 24px rgba(0, 0, 0, 0.1));
+  margin: 30px;
+}
+
+.icon {
+  width: 100px;
+  height: 100px;
+  background: linear-gradient(45deg, #ff6b6b, #4ecdc4);
+  border-radius: 50%;
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  font-size: 40px;
+  color: white;
 }
 ```
 
-![Comparison between a original image and the image with the drop-shadow filter](https://raw.githubusercontent.com/Codecademy/docs/main/media/css-filterfunction-drop-shadow.png)
+The output of this code is:
+
+![Star icon with three layered drop shadows creating realistic depth and lighting effects](https://raw.githubusercontent.com/Codecademy/docs/main/media/drop-shadow3.png)
+
+This example combines three different shadow layers with varying blur radii and opacity levels to create a realistic, multi-layered shadow effect that simulates natural lighting conditions.
+
+## Frequently Asked Questions
+
+### 1. What's the difference between `drop-shadow()` and `box-shadow`?
+
+The `drop-shadow()` function creates a shadow that follows the element's actual shape, including transparent areas, while `box-shadow` creates a shadow around the element's rectangular bounding box.
+
+### 2. Can I use negative values for the offset parameters?
+
+Yes, negative values for `offset-x` will move the shadow to the left, and negative values for `offset-y` will move the shadow upward.
+
+### 3. Is it possible to create an inset shadow with `drop-shadow()`?
+
+No, `drop-shadow()` does not support inset shadows. Use `box-shadow` with the `inset` keyword for inset shadow effects.
+
+### 4. What happens if I don't specify a color for the shadow?
+
+If no color is specified, the shadow will default to black, regardless of the element's text color."
+
+### 5. Can I animate the `drop-shadow()` effect?
 
-The first image on the left is the original, and the image on the right has the `drop-shadow` filter set at `(12px 12px 5px red)`.
+Yes, `drop-shadow()` can be animated using CSS transitions or animations by changing the offset, blur radius, or color values.
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From f1f9d67567864148a76c9a2d312241ae83e31b6e Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 31 Jul 2025 15:24:28 +0530
Subject: [PATCH 046/332] [Edit] Java: iterator (#7320)

* [Edit] Java: iterator

* added keywords

* applied suggestions

* Update content/java/concepts/iterator/iterator.md

* Update content/java/concepts/iterator/iterator.md

* Update content/java/concepts/iterator/iterator.md

---------
---
 content/java/concepts/iterator/iterator.md | 168 +++++++++++++++++----
 1 file changed, 137 insertions(+), 31 deletions(-)

diff --git a/content/java/concepts/iterator/iterator.md b/content/java/concepts/iterator/iterator.md
index 8ef2e85e462..3cabeecb07e 100644
--- a/content/java/concepts/iterator/iterator.md
+++ b/content/java/concepts/iterator/iterator.md
@@ -1,62 +1,168 @@
 ---
 Title: 'Iterator'
-Description: 'An iterator is a Java object that allows code to step through collections.'
+Description: 'Provides a standardized way to traverse elements in a collection sequentially.'
 Subjects:
+  - 'Code Foundations'
   - 'Computer Science'
 Tags:
   - 'Collections'
   - 'Iterators'
+  - 'Loops'
 CatalogContent:
   - 'learn-java'
   - 'paths/computer-science'
 ---
 
-An **iterator** is an object that allows code to step through collections. Java has `Iterator` and `ListIterator` objects, both imported through the `java.util` package. The main difference between the two is that `ListIterator` allows for the bidirectional traversal of collections. The `ListIterator` can only be retrieved from collections that implement the `List` interface.
+**Java iterator** is an interface that provides a standardized way to traverse elements in a collection sequentially, one element at a time. It acts as a cursor, meaning a pointer that moves through the collection and keeps track of the current position during iteration. This allows access to elements individually without exposing the internal structure of the collection.
 
-## Syntax
+The iterator can be used with collections such as [`ArrayList`](https://www.codecademy.com/resources/docs/java/array-list), `LinkedList`, [`HashSet`](https://www.codecademy.com/resources/docs/java/hashset), and other classes that implement the [`Collection`](https://www.codecademy.com/resources/docs/java/collection) interface. It is part of the Java Collections Framework and is found in the `java.util` package.
+
+## Syntax of Java iterator
+
+To create an iterator, use the following syntax:
 
 ```pseudo
-Iterator value = collection.iterator()
+Iterator<E> iteratorName = collection.iterator();
+```
+
+**Parameters:**
+
+- `collection`: Any object that implements the `Collection` interface
+- `E`: The type of elements stored in the collection
+
+**Return value:**
+
+Returns an `Iterator` that can traverse the collection one element at a time
+
+**Key methods:**
+
+- [`hasNext()`](https://www.codecademy.com/resources/docs/java/iterator/hasNext): Returns `true` if there are more elements to iterate over
+- [`next()`](https://www.codecademy.com/resources/docs/java/iterator/next): Returns the next element in the iteration and advances the cursor
+- [`remove()`](https://www.codecademy.com/resources/docs/java/iterator/remove): Removes the last element returned by the iterator. Not all iterators support this operation.
+
+## Example 1: Basic Java Iterator Usage
+
+This example demonstrates the fundamental usage of an iterator to traverse through an `ArrayList`:
+
+```java
+import java.util.ArrayList;
+import java.util.Iterator;
+
+public class BasicIteratorExample {
+  public static void main(String[] args) {
+    // Create an ArrayList and add elements
+    ArrayList<String> fruits = new ArrayList<>();
+    fruits.add("Apple");
+    fruits.add("Banana");
+    fruits.add("Cherry");
+    fruits.add("Date");
+
+    // Create an iterator for the ArrayList
+    Iterator<String> it = fruits.iterator();
+
+    // Iterate through the collection
+    while (it.hasNext()) {
+      String fruit = it.next();
+      System.out.println(fruit);
+    }
+  }
+}
+```
+
+The output of the above code is:
 
-ListIterator listvalue = listcollection.listIterator()
+```shell
+Apple
+Banana
+Cherry
+Date
 ```
 
-Collections have an `.iterator()` method that returns an `Iterator` object. List collections also have a `.listIterator()` method that return a `ListIterator` object.
+This example creates an `ArrayList` of fruits, obtains an iterator using the `iterator()` method, and uses a `while` loop with `hasNext()` and `next()` methods to traverse and print each element.
 
-## Example
+## Example 2: Filtering Values in a List Using Java Iterators
 
-The following example uses an `Iterator` to traverse an [`ArrayList`](https://www.codecademy.com/resources/docs/java/array-list):
+This example shows how to use an iterator to filter elements based on a condition:
 
 ```java
-import java.util.*;
-
-public class Example {
-  public static void main(String args[]) {
-    // Create a new ArrayList
-    ArrayList l = new ArrayList();
-
-    // Add some items to the ArrayList
-    l.add(1);
-    l.add(2);
-    l.add(3);
-    l.add(4);
-    l.add(5);
-
-    Iterator i = l.iterator();
-
-    // Loop through ArrayList contents
-    while(i.hasNext()) {
-      Object item = i.next();
-      System.out.print(item + ", ");
+import java.util.ArrayList;
+import java.util.Iterator;
+
+public class FilterExample {
+  public static void main(String[] args) {
+    ArrayList<Integer> numbers = new ArrayList<>();
+    numbers.add(10);
+    numbers.add(25);
+    numbers.add(40);
+    numbers.add(55);
+
+    Iterator<Integer> it = numbers.iterator();
+    System.out.println("Numbers greater than 30:");
+    while (it.hasNext()) {
+      int num = it.next();
+      if (num > 30) {
+        System.out.println(num);
+      }
     }
   }
 }
+
 ```
 
-This example outputs the following:
+The output of the above code is:
 
 ```shell
-1, 2, 3, 4, 5,
+Numbers greater than 30:
+40
+55
 ```
 
-`Iterator` and `ListIterator` objects have the following methods to traverse their collections:
+This example demonstrates using an iterator to filter numbers from a list, displaying only those greater than 30.
+
+## Example 3: Using Java Iterators To Remove Elements During Iteration
+
+This example shows how to use `iterator.remove()` to safely remove matching elements from a list during iteration:
+
+```java
+import java.util.ArrayList;
+import java.util.Iterator;
+
+public class RemoveExample {
+  public static void main(String[] args) {
+    ArrayList<String> items = new ArrayList<>();
+    items.add("Keep");
+    items.add("Remove");
+    items.add("Keep");
+
+    Iterator<String> it = items.iterator();
+    while (it.hasNext()) {
+      String item = it.next();
+      if (item.equals("Remove")) {
+        it.remove(); // Safe removal
+      }
+    }
+
+    System.out.println("Updated list: " + items);
+  }
+}
+```
+
+The output of the above code is:
+
+```shell
+Updated list: [Keep, Keep]
+```
+
+## Frequently Asked Questions
+
+### 1. What is the difference between `for` loop and iterator?
+
+A traditional for loop uses index access and is limited to indexed collections. An iterator works with all collection types and provides safe element removal during traversal, while modifying collections during for loops can cause issues.
+
+### 2. What is the alternative to iterator in Java?
+
+The main alternatives include enhanced for loops (for-each), traditional for loops, streams, and `ListIterator`. Enhanced for loops are the most common alternative for simple traversal.
+
+### 3. What is the purpose of an iterator?
+
+An iterator provides a standard, safe way to traverse collections without exposing their internal structure. It enables sequential access and supports safe modification during iteration across all collection types.

From d399b6ef7014a4dfde6e20137adcfa864ac23cd8 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 31 Jul 2025 15:39:32 +0530
Subject: [PATCH 047/332] [Edit] Java: Queue (#7335)

* [Edit] Java: Queue

* Update queue.md

* added keywords

* Update content/java/concepts/queue/queue.md

* Update content/java/concepts/queue/queue.md

* Update content/java/concepts/queue/queue.md

* Update content/java/concepts/queue/queue.md

---------
---
 content/java/concepts/queue/queue.md | 221 +++++++++++++++++++++++----
 1 file changed, 188 insertions(+), 33 deletions(-)

diff --git a/content/java/concepts/queue/queue.md b/content/java/concepts/queue/queue.md
index 78afd522ba4..9392a0fc0ef 100644
--- a/content/java/concepts/queue/queue.md
+++ b/content/java/concepts/queue/queue.md
@@ -1,71 +1,226 @@
 ---
 Title: 'Queue'
-Description: 'A Queue is a collection interface that offers additional operations for accessing or manipulating items at the head of the queue.'
+Description: 'A linear data structure that stores and manages elements in First In, First Out order.'
 Subjects:
   - 'Code Foundations'
   - 'Computer Science'
 Tags:
+  - 'Algorithms'
   - 'Collections'
-  - 'Queues'
   - 'Data Structures'
 CatalogContent:
   - 'learn-java'
   - 'paths/computer-science'
 ---
 
-A **`Queue`** is an interface provided in the `java.util` package that extends collections to provide additional methods to access or manipulate items at the head of the queue. Where the "head" of the queue is defined by the particular implementation.
-
-Queue elements are commonly accessed in a FIFO (first-in-first-out) manner. In a priority queue implementation, the first item out will be defined by its specified priority.
+A **`Queue`** in Java is a linear [data structure](https://www.codecademy.com/resources/docs/general/data-structures) that stores and manages elements in a First In, First Out (FIFO) order. Elements are added to the rear of the queue and removed from the front, similar to how people wait in line at a store or bank. The queue follows the principle where the first element added is the first one to be removed.
 
 ## Syntax
 
+Since `Queue` is an [interface](https://www.codecademy.com/resources/docs/java/interfaces) in Java, it cannot be instantiated directly. Instead, use implementing classes to create queue objects:
+
+### Creating Queue Objects
+
 ```pseudo
+Queue<DataType> queueName = new ImplementingClass<>();
+```
+
+**Parameters:**
+
+- `DataType`: The type of elements the queue will store
+- `queueName`: The name of the queue variable
+- `ImplementingClass`: A class that implements the `Queue` interface (e.g., `LinkedList`, `ArrayDeque`, [`PriorityQueue`](https://www.codecademy.com/resources/docs/java/priorityqueue))
+
+**Return value:**
+
+`Queue` methods return different values based on success/failure scenarios as described above.
+
+## Common Methods in the Queue Interface
+
+- `add(element)`: Inserts element at the rear of the queue, throws exception if it fails
+- `offer(element)`: Inserts element at the rear of the queue, returns false if it fails
+- `remove()`: Removes and returns the element from the front, throws an exception if empty
+- `poll()`: Removes and returns element from front, returns null if empty
+- `element()`: Returns front element without removing, throws exception if empty
+- `peek()`: Returns front element without removing, returns null if empty
+
+## Example 1: Basic Operations for `Queue` in Java
+
+This example demonstrates fundamental queue operations, including adding elements, removing elements, and accessing the front element:
+
+```java
 import java.util.Queue;
+import java.util.LinkedList;
 
-Queue<DataType> q = new QueueClass<DataType>();
-```
+public class BasicQueueExample {
+  public static void main(String[] args) {
+    // Create a queue using LinkedList implementation
+    Queue<String> customerQueue = new LinkedList<>();
 
-Where [`DataType`](https://www.codecademy.com/resources/docs/java/data-types) is the data type to be stored in the queue, and `QueueClass` is some class implementing the `Queue` interface.
+    // Add customers to the queue
+    customerQueue.offer("Alice");
+    customerQueue.offer("Bob");
+    customerQueue.offer("Charlie");
 
-## Methods
+    System.out.println("Queue: " + customerQueue);
 
-The `Queue` interface utilizes the following methods:
+    // Serve the first customer (remove from front)
+    String servedCustomer = customerQueue.poll();
+    System.out.println("Served customer: " + servedCustomer);
 
-- `.add(item)`: adds `item` to the `Queue` if possible, otherwise it throws an exception.
-- `.offer(item)`: adds `item` to the `Queue` if possible, otherwise it returns `false`.
-- `.remove()`: removes and returns the head item of the `Queue`, throwing an exception when the `Queue` is empty.
-- `.poll()`: removes and returns the head item of the `Queue`, returning `null` if the `Queue` is empty.
-- `.element()`: returns the head of the `Queue` without removing it, throwing an exception when the `Queue` is empty.
-- `.peek()`: returns the head of the `Queue` without removing it, returning `null` if the `Queue` is empty.
+    // Check who is next without removing them
+    String nextCustomer = customerQueue.peek();
+    System.out.println("Next customer: " + nextCustomer);
 
-## Example
+    System.out.println("Updated queue: " + customerQueue);
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Queue: [Alice, Bob, Charlie]
+Served customer: Alice
+Next customer: Bob
+Updated queue: [Bob, Charlie]
+```
+
+This example demonstrates how elements maintain their order in the queue. Alice, who was added first, is served first, maintaining the FIFO principle.
 
-This is an example of the `Queue` interface implemented by a `LinkedList`:
+## Example 2: Using `Queue` to Implement a Print Job Queue System
+
+This example simulates a real-world scenario where a printer processes print jobs in the order they were submitted:
 
 ```java
+import java.util.Queue;
 import java.util.LinkedList;
+
+public class PrintJobQueue {
+  public static void main(String[] args) {
+    // Create a queue to manage print jobs
+    Queue<String> printQueue = new LinkedList<>();
+
+    // Submit print jobs to the queue
+    printQueue.add("Document1.pdf");
+    printQueue.add("Presentation.pptx");
+    printQueue.add("Report.docx");
+    printQueue.add("Invoice.xlsx");
+
+    System.out.println("Print jobs in queue: " + printQueue.size());
+
+    // Process each print job in FIFO order
+    while (!printQueue.isEmpty()) {
+      String currentJob = printQueue.remove();
+      System.out.println("Printing: " + currentJob);
+
+      // Simulate printing time
+      try {
+        Thread.sleep(1000); // Wait 1 second
+      } catch (InterruptedException e) {
+        Thread.currentThread().interrupt();
+      }
+    }
+
+    System.out.println("All print jobs completed!");
+    System.out.println("Queue status: " + (printQueue.isEmpty() ? "Empty" : "Has jobs"));
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Print jobs in queue: 4
+Printing: Document1.pdf
+Printing: Presentation.pptx
+Printing: Report.docx
+Printing: Invoice.xlsx
+All print jobs completed!
+Queue status: Empty
+```
+
+This example shows how queues ensure fair processing where jobs are handled in the order they arrive, preventing newer jobs from jumping ahead of older ones.
+
+## Example 3: Breadth-First Search Implementation Using `Queue`
+
+This example demonstrates using a queue to implement breadth-first search in a tree structure, showcasing a common algorithmic use case:
+
+```java
 import java.util.Queue;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.ArrayList;
+
+class TreeNode {
+  int val;
+  TreeNode left;
+  TreeNode right;
 
-// Main.java
-public class Main {
+  TreeNode(int val) {
+    this.val = val;
+  }
+}
+
+public class BreadthFirstSearch {
   public static void main(String[] args) {
-    Queue<String> food = new LinkedList<String>();
-    food.offer("Cabbage");
-    food.offer("Pizza");
-    food.offer("Sausage");
-    food.offer("Potatoes");
-    food.offer("Salad");
-    System.out.println(food.peek());
-    System.out.println(food.poll());
-    System.out.println(food);
+    // Create a binary tree
+    TreeNode root = new TreeNode(1);
+    root.left = new TreeNode(2);
+    root.right = new TreeNode(3);
+    root.left.left = new TreeNode(4);
+    root.left.right = new TreeNode(5);
+    root.right.left = new TreeNode(6);
+    root.right.right = new TreeNode(7);
+
+    List<Integer> result = breadthFirstTraversal(root);
+    System.out.println("BFS traversal: " + result);
+  }
+
+  public static List<Integer> breadthFirstTraversal(TreeNode root) {
+    List<Integer> result = new ArrayList<>();
+    if (root == null) return result;
+
+    // Queue to store nodes for level-by-level processing
+    Queue<TreeNode> queue = new LinkedList<>();
+    queue.offer(root);
+
+    while (!queue.isEmpty()) {
+      TreeNode current = queue.poll();
+      result.add(current.val);
+
+      // Add child nodes to queue for next level processing
+      if (current.left != null) {
+        queue.offer(current.left);
+      }
+      if (current.right != null) {
+        queue.offer(current.right);
+      }
+    }
+
+    return result;
   }
 }
 ```
 
-This will output the following:
+The output of this code is:
 
 ```shell
-Cabbage
-Cabbage
-[Pizza, Sausage, Potatoes, Salad]
+BFS traversal: [1, 2, 3, 4, 5, 6, 7]
 ```
+
+This example illustrates how queues enable level-by-level tree traversal, ensuring nodes are processed in breadth-first order rather than depth-first order.
+
+## Frequently Asked Questions
+
+### 1. What is the difference between `add()` and `offer()` methods?
+
+Both insert elements, but `add()` throws an exception if insertion fails, while `offer()` returns false.
+
+### 2. When should I use `remove()` versus `poll()`?
+
+Use `remove()` when you want an exception for empty queues, and `poll()` when you prefer null return values.
+
+### 3. What are the main Queue implementations?
+
+`LinkedList` (general-purpose), `ArrayDeque` (resizable array), and `PriorityQueue` (priority-based ordering).

From 8fd4b07b5f2ac0e52e9197bb55081932ddc44cfe Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 31 Jul 2025 15:42:02 +0530
Subject: [PATCH 048/332] [Edit] JavaScript: Objects: .keys() (#7299)

* [Edit] JavaScript: Objects: .keys()

* added keywords

* added new FAQs

* Update content/javascript/concepts/objects/terms/keys/keys.md

* Update content/javascript/concepts/objects/terms/keys/keys.md

* Update content/javascript/concepts/objects/terms/keys/keys.md

* Update content/javascript/concepts/objects/terms/keys/keys.md

* Update content/javascript/concepts/objects/terms/keys/keys.md

* Update content/javascript/concepts/objects/terms/keys/keys.md

* Update content/javascript/concepts/objects/terms/keys/keys.md

* format

---------
---
 .../concepts/objects/terms/keys/keys.md       | 143 +++++++++++++++---
 1 file changed, 125 insertions(+), 18 deletions(-)

diff --git a/content/javascript/concepts/objects/terms/keys/keys.md b/content/javascript/concepts/objects/terms/keys/keys.md
index 48f2c2a3bb0..cb276e66ced 100644
--- a/content/javascript/concepts/objects/terms/keys/keys.md
+++ b/content/javascript/concepts/objects/terms/keys/keys.md
@@ -1,47 +1,154 @@
 ---
 Title: '.keys()'
-Description: 'Extracts keys from an object and returns them as an array'
+Description: 'Returns an array of a given object’s own enumerable string-keyed property names.'
 Subjects:
-  - 'Web Development'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
-  - 'Objects'
+  - 'Arrays'
   - 'Methods'
+  - 'Objects'
+  - 'Properties'
 CatalogContent:
   - 'introduction-to-javascript'
   - 'paths/front-end-engineer-career-path'
 ---
 
-The `.keys()` static method extracts keys from an object and returns them as an array. It only returns the keys for the object's property and only for enumerable properties.
+The **`Object.keys()`** JavaScript method returns an [array](https://www.codecademy.com/resources/docs/javascript/arrays) of a given [object's](https://www.codecademy.com/resources/docs/javascript/objects) own enumerable string-keyed property names. This static method extracts only the keys from an object, providing a convenient way to iterate over or analyze object properties without accessing their values.
 
 > **Note:** The order of the keys in the resulting array is not guaranteed to be the same as the order in which they were defined in the object.
 
-## Syntax
-
-The basic syntax is:
+## Syntax of JavaScript `Object.keys()`
 
 ```pseudo
 Object.keys(obj)
 ```
 
-- `obj`: An object from which the keys are extracted.
+**Parameters:**
+
+- `obj`: The object whose enumerable string-keyed property names are to be returned.
 
-## Example
+**Return value:**
 
-Here's a simple example that extracts keys from an object and returns them as an array:
+Returns an array of strings representing the given object's own enumerable string-keyed property keys.
+
+## Example 1: Basic Usage of `Object.keys()`
+
+This example demonstrates the fundamental usage of `Object.keys()` with a simple object containing different property types:
 
 ```js
-const myObject = {
-  name: 'John',
-  age: 25,
-  city: 'London',
+// Create a person object
+const person = {
+  firstName: 'John',
+  lastName: 'Doe',
+  age: 30,
+  city: 'New York',
 };
-const keysArray = Object.keys(myObject);
-console.log(keysArray);
+
+// Get all keys from the object
+const keys = Object.keys(person);
+console.log(keys);
+```
+
+This example results in the following output:
+
+```shell
+["firstName", "lastName", "age", "city"]
+```
+
+The method returns an array containing all enumerable property names from the object. In this case, since all keys are strings, they appear in the order they were defined. However, if the object contained numeric keys, those would be ordered numerically first, regardless of definition order.
+
+## Example 2: Using `Object.keys()` to iterate Over Object Properties
+
+This example shows how to use `Object.keys()` to iterate through object properties, which is useful for processing or transforming object data:
+
+```js
+// Product inventory object
+const inventory = {
+  laptops: 45,
+  smartphones: 123,
+  tablets: 67,
+  headphones: 89,
+};
+
+// Iterate through all product keys
+Object.keys(inventory).forEach((product) => {
+  console.log(`${product}: ${inventory[product]} units`);
+});
+
+// Alternative: using for...of loop
+for (const product of Object.keys(inventory)) {
+  if (inventory[product] < 50) {
+    console.log(`Low stock alert: ${product}`);
+  }
+}
 ```
 
-The above example will give the following output:
+This example results in the following output:
 
 ```shell
-  ['name', 'age', 'city']
+laptops: 45 units
+smartphones: 123 units
+tablets: 67 units
+headphones: 89 units
+Low stock alert: laptops
 ```
+
+## Codebyte Example: Filtering and Transforming Objects Using `Object.keys()`
+
+This example demonstrates using `Object.keys()` to filter object properties and create new objects based on specific criteria:
+
+```codebyte/javascript
+// User settings object
+const userSettings = {
+  theme: "dark",
+  notifications: true,
+  autoSave: false,
+  language: "en",
+  fontSize: 14,
+  showSidebar: true
+};
+
+// Filter only boolean settings
+const booleanSettings = {};
+Object.keys(userSettings).forEach(key => {
+  if (typeof userSettings[key] === 'boolean') {
+    booleanSettings[key] = userSettings[key];
+  }
+});
+
+console.log("Boolean settings:", booleanSettings);
+
+// Create an array of setting names that are enabled
+const enabledSettings = Object.keys(userSettings).filter(key =>
+  userSettings[key] === true
+);
+
+console.log("Enabled settings:", enabledSettings);
+```
+
+## Frequently Asked Questions
+
+### 1. What is the difference between map keys and object keys?
+
+In JavaScript:
+
+- Object keys are always strings (or symbols). Even if you use a number or an object as a key, it gets converted to a string.
+- Map keys can be of any type, such as string, number, object, or even functions. They're not converted to strings. This makes `Map` more flexible for key-value pairs where key type matters.
+
+### 2. What is `Object.entries` and `Object.keys`?
+
+- `Object.keys(obj)` returns an array of the keys (property names) in the object.
+- `Object.entries(obj)` returns an array of key-value pairs from the object.
+
+### 3. Can an object key be a number?
+
+Not exactly. When you use a number as a key, JavaScript automatically converts it to a string.
+
+### 4. Are object keys ordered?
+
+Yes, in a specific way:
+
+- Integer-like keys come first (sorted numerically).
+- Then, string keys appear in insertion order.
+- Symbol keys come last, also in insertion order.

From 2aec72f6b75d2ffa69632ca96ba4def24a15da64 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 31 Jul 2025 15:59:19 +0530
Subject: [PATCH 049/332] [Edit] Python: Request Module (#7333)

* [Edit] Python: Request Module

* [Edit] Java: Queue

* Update queue.md

* added keywords

* Added output

* Update content/python/concepts/requests-module/requests-module.md

* Update content/python/concepts/requests-module/requests-module.md

* Update content/python/concepts/requests-module/requests-module.md

* Update content/python/concepts/requests-module/requests-module.md

* Update content/python/concepts/requests-module/requests-module.md

---------
---
 .../requests-module/requests-module.md        | 156 ++++++++++++++++--
 1 file changed, 143 insertions(+), 13 deletions(-)

diff --git a/content/python/concepts/requests-module/requests-module.md b/content/python/concepts/requests-module/requests-module.md
index 860350b00be..d688e2a2b18 100644
--- a/content/python/concepts/requests-module/requests-module.md
+++ b/content/python/concepts/requests-module/requests-module.md
@@ -1,42 +1,172 @@
 ---
 Title: 'Requests Module'
-Description: 'The requests module is the de facto standard for sending HTTP requests in Python.'
+Description: 'HTTP library for Python that makes sending HTTP requests straightforward and human-friendly.'
 Subjects:
+  - 'Computer Science'
   - 'Web Development'
-  - 'Data Science'
 Tags:
-  - 'Modules'
   - 'APIs'
-  - 'Strings'
   - 'HTTP'
+  - 'Libraries'
   - 'Requests'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-The **`requests`** module is the de facto standard for sending [HTTP](https://www.codecademy.com/resources/docs/general/http) requests in Python.
+The **`requests`** module in Python is an HTTP library that makes sending [HTTP](https://www.codecademy.com/resources/docs/general/http) requests straightforward and human-friendly. It abstracts the complexities of making HTTP requests behind a simple [API](https://www.codecademy.com/resources/docs/general/api), allowing developers to send HTTP/1.1 requests without manually adding query strings to URLs or form-encoding POST data.
 
-It abstracts the complexities of making requests behind an [API](https://www.codecademy.com/resources/docs/general/api) so that code can focus on interacting with services and consuming data in the application.
+## Installing `requests` module
 
-The HTTP request returns a Response Object with all the response data (content, encoding, status, etc).
+To install the requests module, use [`pip`](https://www.codecademy.com/resources/docs/python/pip):
 
-## Installation
+```pseudo
+pip install requests
+```
+
+## Syntax
+
+```pseudo
+requests.get(url, params={key: value}, **kwargs)
+```
+
+**Parameters:**
+
+- `url`: The URL to send the request to
+- `params` (Optional): [Dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) containing query parameters to append to the URL
+- `**kwargs` (Optional): Additional optional arguments such as headers, cookies, authentication, timeout, and other request configuration options
+
+**Return value:**
+
+Returns a `Response` object containing the server's response to the HTTP request, including status code, headers, content, and other response metadata.
+
+## Common Methods in the `request` Module
+
+The requests module provides several HTTP methods:
+
+- **GET** ([`get()`](https://www.codecademy.com/resources/docs/python/requests-module/get)): Retrieve data from a server
+- **POST** ([`post()`](https://www.codecademy.com/resources/docs/python/requests-module/post)): Send data to a server to create/update a resource
+- **PUT** ([`put()`](https://www.codecademy.com/resources/docs/python/requests-module/put)): Update existing data on a server
+- **DELETE** ([`delete()`](https://www.codecademy.com/resources/docs/python/requests-module/delete)): Remove data from a server
+- **PATCH** (`patch()`): Apply partial modifications to a resource
+- **HEAD** ([`head()`](https://www.codecademy.com/resources/docs/python/requests-module/head)): Retrieve headers only (no body content)
+
+## Example 1: Basic GET Request Using Python's `requests` Module
 
-Installing the `requests` module is done by running the following [pip](https://www.codecademy.com/resources/docs/python/pip) command in the [terminal](https://www.codecademy.com/resources/docs/command-line/terminal):
+This example demonstrates how to make a simple GET request and access the response:
+
+```py
+import requests
+
+# Make a GET request to a web API
+response = requests.get('https://jsonplaceholder.typicode.com/posts/1')
+
+# Print the status code and response content
+print(f"Status Code: {response.status_code}")
+print(f"Content: {response.json()}")
+```
+
+The output of the above code will be:
 
 ```shell
-pip install requests
+Status Code: 200
+Content: {'userId': 1, 'id': 1, 'title': 'sunt aut facere repellat provident occaecati excepturi optio reprehenderit', 'body': 'quia et suscipit\nsuscipit recusandae consequuntur expedita et cum\nreprehenderit molestiae ut ut quas totam\nnostrum rerum est autem sunt rem eveniet architecto'}
+```
+
+The above code sends a GET request to a JSON placeholder API and prints the HTTP status code and the JSON response content. The `requests.get()` method returns a `Response` object containing all the response information.
+
+## Example 2: Using `requests` Module in Python to POST Request with Data
+
+This example shows how to send data to a server using a POST request with a JSON payload:
+
+```py
+import requests
+
+# Data to send in the request body
+user_data = {
+  'name': 'John Doe',
+  'email': 'john.doe@example.com',
+  'age': 30
+}
+
+# Make a POST request with JSON data
+response = requests.post(
+  'https://jsonplaceholder.typicode.com/users',
+  json=user_data
+)
+
+# Check if the request was successful
+if response.status_code == 201:
+  print("User created successfully!")
+  print(f"Response: {response.json()}")
+else:
+  print(f"Error: {response.status_code}")
 ```
 
-Or for Python 3:
+The output of the above example will be:
 
 ```shell
-pip3 install requests
+User created successfully!
+Response: {'name': 'John Doe', 'email': 'john.doe@example.com', 'age': 30, 'id': 11}
 ```
 
-Once `requests` is installed, it can be used in a program and imported like this:
+This example shows how to send structured data to an API using POST with automatic JSON serialization.
+
+## Example 3: Handling API Authentication With the `requests` Module
+
+This example demonstrates how to make authenticated requests using API keys or basic authentication:
 
 ```py
 import requests
+from requests.auth import HTTPBasicAuth
+
+# Example 1: API Key authentication
+api_key = 'your-api-key-here'
+headers = {
+  'Authorization': f'Bearer {api_key}',
+  'Accept': 'application/json'
+}
+
+response = requests.get(
+  'https://api.github.com/user',
+  headers=headers
+)
+
+# Example 2: Basic authentication
+response_basic = requests.get(
+  'https://httpbin.org/basic-auth/user/pass',
+  auth=HTTPBasicAuth('user', 'pass')
+)
+
+# Check responses
+if response.status_code == 200:
+  print("API Key authentication successful")
+  print(f"User data: {response.json()}")
+
+if response_basic.status_code == 200:
+  print("Basic authentication successful")
+  print(f"Response: {response_basic.json()}")
 ```
+
+The output of the above code will be:
+
+```shell
+Basic authentication successful
+Response: {'authenticated': True, 'user': 'user'}
+```
+
+This example shows two common authentication methods: API key authentication using headers and HTTP Basic authentication using the `auth` parameter. Both approaches are commonly used when working with protected APIs.
+
+## Frequently Asked Questions
+
+### 1. What is the difference between `data` and `json` parameters in requests?
+
+The `data` parameter sends form-encoded data, while `json` automatically serializes Python objects to JSON format and sets the Content-Type header to application/json.
+
+### 2. How do I handle timeouts in requests?
+
+Use the `timeout` parameter: `requests.get(url, timeout=10)` to set a 10-second timeout.
+
+### 3. How can I disable SSL certificate verification?
+
+Set `verify=False` in your request: `requests.get(url, verify=False)`. However, this is not recommended for production.

From fca044f8d50a843097f5c3f8cdee52392d416c27 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 31 Jul 2025 16:09:28 +0530
Subject: [PATCH 050/332] [Edit] Python: Matplotlib: .boxplot() (#7300)

* [Edit] Python: Matplotlib: .boxplot()

* Add files via upload

* added keywords

* applied suggestions

* Update content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md

* Update content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md

* Update content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md

* Update content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md

* Update content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md

* Update content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md

* Update content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md

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 .../concepts/pyplot/terms/boxplot/boxplot.md  | 169 +++++++++++++-----
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diff --git a/content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md b/content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md
index 67bfceecdb5..0602673b5fe 100644
--- a/content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md
+++ b/content/matplotlib/concepts/pyplot/terms/boxplot/boxplot.md
@@ -1,86 +1,171 @@
 ---
 Title: '.boxplot()'
-Description: 'Returns a box and whisker plot.'
+Description: 'Creates box-and-whisker plots to display statistical summaries of datasets.'
 Subjects:
   - 'Data Science'
   - 'Data Visualization'
 Tags:
-  - 'Graphs'
-  - 'Libraries'
+  - 'Charts'
   - 'Matplotlib'
+  - 'Statistics'
 CatalogContent:
   - 'learn-python-3'
-  - 'paths/computer-science'
+  - 'paths/data-science'
 ---
 
-The **`.boxplot()`** is a method in the Matplotlib library that returns a box and whisker plot based on one or more arrays of data as input.
+The **matplotlib's `.boxplot()`** method is a powerful data visualization function in matplotlib's [`pyplot`](https://www.codecademy.com/resources/docs/matplotlib/pyplot) module that creates box-and-whisker plots to display the statistical summary of a dataset. This method displays the distribution of data through quartiles, showing the median, first quartile (Q1), third quartile (Q3), and potential outliers in a compact visual format.
 
 ## Syntax
 
 ```pseudo
-matplotlib.pyplot.boxplot(x, notch, sym, vert, whis, bootstrap, usermedians, conf_intervals, positions, widths, patch_artist, labels, manage_ticks, autorange, meanline, zorder )
+matplotlib.pyplot.boxplot(x, notch=None, sym=None, vert=None, ...)
 ```
 
-The `x` parameter is required, and represents an array or a sequence of vectors. Other parameters are optional and used to modify the features of the boxplot.
+> **Note:** The ellipses (`...`) indicate that there are many additional optional parameters available, such as `widths`, `patch_artist`, `showmeans`, `boxprops`, and others. These parameters provide detailed control over the style, layout, and display of the boxplot.
 
-`.boxplot()` takes the following arguments:
+**Parameters:**
 
-- `x` : Takes in the data to be plotted as a list, array, or a sequence of arrays. Each array represents a different dataset to be plotted in the boxplot.
-- `notch`: If `True`, a notch is drawn around the median to represent the median uncertainty.
-- `sym`: A parameter is used to modify the designation of outliers. By default, outliers are represented as dots, if an empty string is passed any outliers in the data will not be visible in the plot.
-- `vert`: If `True`, the boxplot is drawn vertically (default). If `False`, it is drawn horizontally.
-- `whis`: This parameter is used to specify the whisker length as a multiple of the IQR. The default is 1.5, which is the standard length.
-- `bootstrap`: Specifies whether to bootstrap the confidence intervals around the median for notched boxplots.
-- `usermedians`: This parameter is used to pass in a sequence of medians to be used for each dataset.
-- `conf_intervals`: If `True`, the confidence intervals around the median are drawn as notches.
-- `positions`: This parameter is used to specify the positions of the boxes in the plot.
-- `widths`: This parameter is used to specify the width of the boxes.
-- `patch_artist`: If `True`, the boxes will be filled with color.
-- `labels`: This parameter is used to pass in a list of labels to be used for each dataset.
-- `meanline`: If `True`, a line is drawn at the mean value of each dataset.
-- `zorder`: This parameter is used to specify the z-order of the plot. By default, the boxplot is drawn on top of other plot elements.
+- `x`: The input data (array-like or sequence of arrays). Can be a 1D array for a single boxplot or a sequence of arrays for multiple boxplots.
+- `notch`: Boolean, optional. If True, a notched boxplot is created to indicate confidence intervals around the median.
+- `sym`: String, optional. Default symbol for outlier points. An empty string hides the outliers.
+- `vert`: Boolean, optional. If True (default), plots boxes vertically. If False, plots horizontally.
 
-## Examples
+**Return value:**
 
-Below are the examples demonstrating the use of `.boxplot()`.
+The method returns a [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) containing the matplotlib artists used in the boxplot. The dictionary includes keys for 'boxes', 'medians', 'whiskers', 'caps', 'fliers', and 'means'.
+
+## Example 1: Creating a Basic Boxplot using `matplotlib.pyplot.boxplot()`
+
+This example demonstrates how to create a simple boxplot using randomly generated data:
 
 ```py
 import matplotlib.pyplot as plt
 import numpy as np
 
-# Generate some random data
-data = [np.random.normal(0, std, 100) for std in range(1, 4)]
+# Set random seed for reproducibility
+np.random.seed(42)
 
-# Create a box and whisker plot
-plt.boxplot(data)
+# Generate sample data
+data = np.random.normal(100, 15, 200)
 
-# Show the plot
+# Create the boxplot
+plt.figure(figsize=(8, 6))
+plt.boxplot(data)
+plt.title('Basic Boxplot Example')
+plt.ylabel('Values')
 plt.show()
 ```
 
-Output:
+The output of this code is:
+
+![A simple matplotlib boxplot showing the distribution of normally distributed data with a median line, quartile box, whiskers, and outlier points](https://raw.githubusercontent.com/Codecademy/docs/main/media/boxplot1.png)
+
+The code generates a dataset with 200 values following a normal distribution with a mean of 100 and a standard deviation of 15. The resulting boxplot displays the median as a horizontal line, the box representing the interquartile range (IQR), whiskers extending to the most extreme non-outlier data points, and any outliers as individual points.
 
-![Output of matplotlib.pyplot.boxplot() method example 1](https://raw.githubusercontent.com/Codecademy/docs/main/media/matplotlib-boxplot-example-1.png)
+## Example 2: Multiple Dataset Comparison using the `matplotlib.pyplot.boxplot()` method
+
+This example shows how to create boxplots for multiple datasets to compare their distributions:
 
 ```py
 import matplotlib.pyplot as plt
 import numpy as np
 
-# Generate some random data
-data = [np.random.normal(0, std, 100) for std in range(1, 4)]
+# Set random seed for reproducibility
+np.random.seed(42)
+
+# Generate multiple datasets with different characteristics
+dataset1 = np.random.normal(80, 10, 100)  # Lower mean, smaller spread
+dataset2 = np.random.normal(100, 20, 100)  # Higher mean, larger spread
+dataset3 = np.random.exponential(25, 100)  # Exponential distribution
+dataset4 = np.random.uniform(50, 150, 100)  # Uniform distribution
+
+# Combine datasets
+data = [dataset1, dataset2, dataset3, dataset4]
+
+# Create multiple boxplots
+plt.figure(figsize=(10, 6))
+box_plot = plt.boxplot(data, labels=['Normal (80,10)', 'Normal (100,20)',
+                                   'Exponential (25)', 'Uniform (50,150)'])
+plt.title('Comparison of Different Distributions')
+plt.ylabel('Values')
+plt.xlabel('Distribution Type')
+plt.xticks(rotation=45)
+plt.tight_layout()
+plt.show()
+```
+
+The output of this code is:
+
+![Four side-by-side matplotlib boxplots comparing normal, exponential, and uniform distributions with different means and spreads](https://raw.githubusercontent.com/Codecademy/docs/main/media/boxplot2.png)
+
+This example creates four different datasets with distinct statistical properties and displays them side by side. The boxplots make it easy to compare the medians, spreads, and presence of outliers across the different distributions.
 
-# Create a box and whisker plot with some custom parameters
-plt.boxplot(data, notch=True, sym='g+', vert=False, whis=0.75, bootstrap=10000, usermedians=[np.mean(d) for d in data], conf_intervals=None, patch_artist=True)
+## Example 3: Customized Sales Performance Analysis on Boxplot
 
-# Add labels and title
-plt.xlabel('Value')
-plt.ylabel('Group')
-plt.title('Customized box and whisker plot')
+This example demonstrates a real-world scenario analyzing quarterly sales performance across different product categories:
 
-# Show the plot
+```py
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Set random seed for reproducibility
+np.random.seed(42)
+
+# Simulate quarterly sales data (in thousands)
+electronics = np.random.normal(150, 25, 50)  # Electronics sales
+clothing = np.random.normal(120, 30, 50)     # Clothing sales
+home_goods = np.random.normal(100, 20, 50)   # Home goods sales
+sports = np.random.normal(80, 15, 50)        # Sports equipment sales
+
+# Add some outliers to make it more realistic
+electronics = np.append(electronics, [220, 250])  # High-performance months
+clothing = np.append(clothing, [200, 40])         # Seasonal variations
+home_goods = np.append(home_goods, [180])         # Holiday boost
+sports = np.append(sports, [150, 30])             # Seasonal impact
+
+# Combine all sales data
+sales_data = [electronics, clothing, home_goods, sports]
+categories = ['Electronics', 'Clothing', 'Home Goods', 'Sports']
+
+# Create customized boxplot
+plt.figure(figsize=(12, 8))
+box_plot = plt.boxplot(sales_data,
+                      labels=categories,
+                      patch_artist=True,  # Fill with colors
+                      notch=True,         # Show confidence intervals
+                      showmeans=True)     # Show mean values
+
+# Customize colors for each category
+colors = ['lightblue', 'lightgreen', 'lightcoral', 'lightyellow']
+for patch, color in zip(box_plot['boxes'], colors):
+  patch.set_facecolor(color)
+
+# Customize the plot appearance
+plt.title('Quarterly Sales Performance Analysis by Product Category',
+          fontsize=16, fontweight='bold')
+plt.ylabel('Sales (in thousands USD)', fontsize=12)
+plt.xlabel('Product Categories', fontsize=12)
+plt.grid(axis='y', alpha=0.3)
+plt.tight_layout()
 plt.show()
 ```
 
-Output:
+The output of this code is:
+
+![Colorful customized matplotlib boxplots showing quarterly sales performance across four product categories, with notches and mean indicators](https://raw.githubusercontent.com/Codecademy/docs/main/media/boxplot3.png)
+
+This example simulates a business scenario where sales data is analyzed across different product categories. The customized boxplot uses colors to distinguish categories, shows confidence intervals through notches, and displays mean values alongside medians. This visualization helps identify which product categories perform best and have the most consistent sales patterns.
+
+## Frequently Asked Questions
+
+### 1. What is a box plot in Matplotlib?
+
+A box plot displays data distribution through five statistics: minimum, Q1, median, Q3, and maximum, with outliers shown as individual points.
+
+### 2. What is the difference between Seaborn Boxplot and Matplotlib Boxplot?
+
+Seaborn's boxplot offers better default styling and easier categorical data handling, while Matplotlib's boxplot provides more low-level control and customization options.
+
+### 3. How to plot a boxplot in a Python `DataFrame`?
 
-![Output of matplotlib.pyplot.boxplot() method example 2](https://raw.githubusercontent.com/Codecademy/docs/main/media/matplotlib-boxplot-example-2.png)
+Pass DataFrame columns to `plt.boxplot([df['col1'], df['col2']])` or use pandas' built-in `df.boxplot()` method.
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From d6886abb31c393c9fe37243e6683145f64771124 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 31 Jul 2025 16:16:35 +0530
Subject: [PATCH 051/332] [Edit] AI: BEAM Search (#7339)

* [Edit] AI: BEAM Search

* added keywords

* Update content/ai/concepts/search-algorithms/terms/beam-search/beam-search.md

* Format

---------
---
 .../terms/beam-search/beam-search.md          | 68 +++++++++++++++++--
 1 file changed, 63 insertions(+), 5 deletions(-)

diff --git a/content/ai/concepts/search-algorithms/terms/beam-search/beam-search.md b/content/ai/concepts/search-algorithms/terms/beam-search/beam-search.md
index 4ca80dc1e24..1ad2661f7d7 100644
--- a/content/ai/concepts/search-algorithms/terms/beam-search/beam-search.md
+++ b/content/ai/concepts/search-algorithms/terms/beam-search/beam-search.md
@@ -2,19 +2,20 @@
 Title: 'BEAM Search'
 Description: 'A graph searching algorithm that is a variant of breadth-first search.'
 Subjects:
-  - 'Data Science'
   - 'AI'
+  - 'Data Science'
 Tags:
-  - 'Search Algorithms'
   - 'AI'
+  - 'Algorithms'
+  - 'Search Algorithms'
 CatalogContent:
   - 'learn-python-3'
-  - 'paths/machine-learning-ai-engineering-foundations'
+  - 'paths/computer-science'
 ---
 
 **BEAM Search**, a variant of [breadth-first Search](https://www.codecademy.com/resources/docs/ai/search-algorithms/breadth-first-search), is an algorithm that searches a weighted graph for an optimal path from some start node **S** to some goal node **G**. The difference between BEAM search and breadth-first search is that at every level of the search tree, only the top _β_ candidates are chosen for further exploration. Here, β is known as the _beam width_. The reasoning behind this is that a path from **S** to **G** is likely to pass through some top number of most promising nodes. This leads to an algorithm that is fast and memory-efficient because it can disregard many nodes that may appear to be too far from the goal. This, however, sometimes causes the algorithm to overlook a potential shortest path because a candidate node is greater than the beam width. This renders the algorithm as _incomplete_, meaning that finding the shortest path is not guaranteed. Since the algorithm can find a reasonably short path, trading completeness for efficiency is accepted. Much like [A\* search](https://www.codecademy.com/resources/docs/ai/search-algorithms/a-star-search) and [best-first search](https://www.codecademy.com/resources/docs/ai/search-algorithms/best-first-search), an evaluation function is used to evaluate the candidacy of nodes for further exploration.
 
-## The Algorithm
+## How the Beam Search Algorithm Works
 
 Similar to A\* search, the algorithm uses an **open list** and a **closed list** for the exploration of nodes. In this algorithm, the open list is an ordinary queue. The algorithm begins with a start node **S**, which also serves as the root node for the search tree.
 
@@ -58,10 +59,67 @@ It is in this step that node **G** has been found:
 Trace the path from **S** to **G**:
 ![Final-path](https://raw.githubusercontent.com/Codecademy/docs/main/media/BEAM-Search-final-path.png)
 
-## Advantages and Disadvantages
+## Pseudocode for Beam Search Algorithm
+
+```plaintext
+function BEAM_SEARCH(start_node, goal_test, beam_width, max_depth):
+    current_level ← [start_node]
+    depth ← 0
+
+    while current_level is not empty AND depth < max_depth:
+        all_successors ← []
+
+        // Generate all successors from current level
+        for each node in current_level:
+            if goal_test(node):
+                return SUCCESS (node)
+
+            successors ← get_successors(node)
+            for each successor in successors:
+                successor.score ← evaluation_function(successor)
+                all_successors.append(successor)
+
+        if all_successors is empty:
+            return FAILURE
+
+        // Sort all successors by their scores (best first)
+        sorted_successors ← sort(all_successors, by=score, descending=True)
+
+        // Keep only top beam_width candidates for next level
+        current_level ← sorted_successors[0 : beam_width]
+        depth ← depth + 1
+
+    // Check final level for goal
+    for each node in current_level:
+        if goal_test(node):
+            return SUCCESS (node)
+
+    return FAILURE
+```
+
+## Advantages and Disadvantages of Beam Search
 
 As stated before, the advantage of BEAM search is that it is efficient both in time and memory. The disadvantage can be seen from the example in that a possible shortest path from **S** to **G** was overlooked. This can be somewhat corrected by varying the beam width to include more nodes. This, however, would reduce the efficiency of the algorithm. Selecting the optimal beam width is problem-specific and usually requires further insight into the problem.
 
 ## Applications of BEAM Search
 
 The BEAM search algorithm is commonly used in natural language processing and machine translation. An encoder is used to process the text from the source language and BEAM search selects the most probable words (the beam width) in the target language. The evaluation function in this context is the conditional probability of a word in the target language.
+
+## Frequently Asked Questions
+
+### 1. Is ChatGPT using beam search?
+
+No, ChatGPT (and most large language models from OpenAI) doesn't use beam search during inference. It uses sampling-based decoding methods like top-k sampling, top-p (nucleus) sampling, or temperature-controlled sampling to generate text.
+
+### 2. Where is beam search used?
+
+Beam search is widely used in natural language processing (NLP) tasks where sequential predictions are needed:
+
+- Machine translation (e.g., translating English to French)
+- Speech recognition
+- Text generation (in some models)
+- Optical character recognition (OCR)
+
+### 3. What are the benefits of beam search?
+
+Beam search is faster and more memory-efficient than exhaustive search. It explores only the most promising paths, giving better results than greedy search while still being customizable through the beam width. However, it might miss the optimal path.

From 66f1808bcb1e0e35ee00948235ae99770762daf1 Mon Sep 17 00:00:00 2001
From: Saumya Pandey <saumyapandeycse98@gmail.com>
Date: Fri, 1 Aug 2025 00:40:11 -0600
Subject: [PATCH 052/332] [Term Entry] C++ Unordered Map: .key_eq()

* [Entry] C++ unordered map: key_eq() #7146

Added Entry for key_eq() with syntax and examples as
required.

* content tweaks

* Update key-eq.md

* Update key-eq.md

---------
---
 .../unordered-map/terms/key-eq/key-eq.md      | 117 ++++++++++++++++++
 1 file changed, 117 insertions(+)
 create mode 100644 content/cpp/concepts/unordered-map/terms/key-eq/key-eq.md

diff --git a/content/cpp/concepts/unordered-map/terms/key-eq/key-eq.md b/content/cpp/concepts/unordered-map/terms/key-eq/key-eq.md
new file mode 100644
index 00000000000..102e4060e49
--- /dev/null
+++ b/content/cpp/concepts/unordered-map/terms/key-eq/key-eq.md
@@ -0,0 +1,117 @@
+---
+Title: '.key_eq()'
+Description: 'Returns the key equality comparison function used by the `unordered_map` container.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Scienec'
+Tags:
+  - 'Classes'
+  - 'Map'
+  - 'OOP'
+CatalogContent:
+  - 'learn-example-course'
+  - 'paths/example-path'
+---
+
+**`.key_eq()`** is a member [function](https://www.codecademy.com/resources/docs/cpp/functions) that returns the function (also called a predicate) that the container uses to determine whether two keys are considered equal. This function is essential because, in an `unordered_map`, keys are stored in hash buckets and even if two keys hash to the same bucket, the container still needs to check if they're actually equal. That’s where `.key_eq()` comes in.
+
+## Syntax
+
+```pseudo
+unordered_map_name.key_eq()(args1, args2)
+```
+
+**Parameters:**
+
+- `key1`: The first key to compare.
+- `key2`: The second key to compare.
+
+**Return value:**
+
+- Returns `true` if `key1` and `key2` are considered equal by the map's key comparison function.
+- Returns `false` otherwise.
+
+## Example
+
+In this example, the map's key equality function is used to find and print the population of selected animals by comparing external values to map keys:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+#include <vector>
+#include <string>
+
+int main() {
+  std::unordered_map<std::string, int> animalPopulations = {
+    {"Tiger", 5574},
+    {"Elephant", 415000},
+    {"Giraffe", 117000},
+    {"Rhinoceros", 27000}
+  };
+
+  // List of animals to look up
+  std::vector<std::string> animalList = {"Tiger", "Giraffe"};
+
+  // Get the equality function used by the map
+  auto eq = animalPopulations.key_eq();
+
+  // Loop through the list
+  for (const std::string& target : animalList) {
+    for (const auto& pair : animalPopulations) {
+      if (eq(pair.first, target)) {
+        std::cout << "There are " << pair.second << " " << pair.first << "s in the wild." << std::endl;
+      }
+    }
+  }
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+There are 5574 Tigers in the wild.
+There are 117000 Giraffes in the wild.
+```
+
+## Codebyte Example
+
+In this example, the key equality function is used to check whether foods from a list exist in the map and print their protein type or a not-found message:
+
+```codebyte/cpp
+#include <iostream>
+#include <unordered_map>
+#include <vector>
+#include <string>
+
+int main() {
+  std::unordered_map<std::string, std::string> proteinSource = {
+    {"Chicken", "non-veg"},
+    {"Salmon", "non-veg"},
+    {"Greek Yogurt", "veg"},
+    {"Cottage Cheese", "veg"}
+  };
+
+  // List of foods to look up
+  std::vector<std::string> foodList = {"Chicken", "Greek Yogurt", "Paneer"};
+
+  auto eq = proteinSource.key_eq();
+
+  for (const std::string& food : foodList) {
+    bool found = false;
+    for (const auto& pair : proteinSource) {
+      if (eq(pair.first, food)) {
+        std::cout << pair.first << " is a " << pair.second << " source of protein" << std::endl;
+        found = true;
+        break;
+      }
+    }
+    if (!found) {
+      std::cout << food << " is not found in the protein source list." << std::endl;
+    }
+  }
+
+  return 0;
+}
+```

From 8d0681f1bf166bf980df5fce36d1eeeec5c28489 Mon Sep 17 00:00:00 2001
From: Anil Bhandari <93316453+onealanil@users.noreply.github.com>
Date: Fri, 1 Aug 2025 12:33:32 +0545
Subject: [PATCH 053/332] [Term Entry] JavaScript Number Methods:
 .isSafeInteger()

* Add .isSafeInteger() term entry for JavaScript number methods

* Add .isSafeInteger() term entry for JavaScript number methods

* Update isSafeInteger.md

* Update yarn.lock

* Update isSafeInteger.md

* Update isSafeInteger.md

---------
---
 .../terms/isSafeInteger/isSafeInteger.md      | 68 +++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 content/javascript/concepts/number-methods/terms/isSafeInteger/isSafeInteger.md

diff --git a/content/javascript/concepts/number-methods/terms/isSafeInteger/isSafeInteger.md b/content/javascript/concepts/number-methods/terms/isSafeInteger/isSafeInteger.md
new file mode 100644
index 00000000000..b0faa35a059
--- /dev/null
+++ b/content/javascript/concepts/number-methods/terms/isSafeInteger/isSafeInteger.md
@@ -0,0 +1,68 @@
+---
+Title: '.isSafeInteger()'
+Description: 'Checks whether the passed value is a safe integer.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Methods'
+  - 'Numbers'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.isSafeInteger()`** method is a static method of the `Number` object in JavaScript which determines whether the provided value is a safe integer: an integer that can be exactly represented using the IEEE-754 double-precision format.
+
+A safe integer satisfies:
+
+$$
+-(2^{53} - 1) \leq \text{value} \leq 2^{53} - 1
+$$
+
+If the condition holds, the method returns `true`, otherwise, it returns `false`.
+
+## Syntax
+
+```pseudo
+Number.isSafeInteger(value);
+```
+
+**Parameters:**
+
+- `value`: The value to be tested for being a safe integer.
+
+**Return value:**
+
+Returns `true` if the given `value` is of type `number`, is an integer, and is within the safe integer range (`-(2^53 - 1) to 2^53 - 1`). Otherwise, it returns `false`.
+
+## Example
+
+This example demonstrates how `.isSafeInteger()` returns `true` for integers and `false` for non-integers or values outside the safe range:
+
+```js
+console.log(Number.isSafeInteger(10));
+console.log(Number.isSafeInteger(3.14));
+console.log(Number.isSafeInteger(Math.pow(2, 53)));
+console.log(Number.isSafeInteger(2 ** 53 - 1));
+```
+
+The output of this code is:
+
+```shell
+true
+false
+false
+true
+```
+
+## Codebyte Example
+
+This codebyte tests various values to show how the method handles whole numbers, decimals, and edge cases at the limits of JavaScript’s safe integer range:
+
+```codebyte/javascript
+console.log(Number.isSafeInteger(100));
+console.log(Number.isSafeInteger(3.5));
+console.log(Number.isSafeInteger(2 ** 53 - 1));
+console.log(Number.isSafeInteger(2 ** 53));
+```

From bb79a4f1cf696da1340146206933892073191ef0 Mon Sep 17 00:00:00 2001
From: jjwheatley <61948277+jjwheatley@users.noreply.github.com>
Date: Fri, 1 Aug 2025 08:54:50 +0200
Subject: [PATCH 054/332] [Term Entry] JavaScript Number Methods:
 .MAX_SAFE_INTEGER

* [Term Entry] JavaScript Number methods: .MAX_SAFE_INTEGER (#7314)

* Update MAX-SAFE-INTEGER.md

* Update MAX-SAFE-INTEGER.md

* Update MAX-SAFE-INTEGER.md

---------
---
 .../MAX-SAFE-INTEGER/MAX-SAFE-INTEGER.md      | 66 +++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 content/javascript/concepts/number-methods/terms/MAX-SAFE-INTEGER/MAX-SAFE-INTEGER.md

diff --git a/content/javascript/concepts/number-methods/terms/MAX-SAFE-INTEGER/MAX-SAFE-INTEGER.md b/content/javascript/concepts/number-methods/terms/MAX-SAFE-INTEGER/MAX-SAFE-INTEGER.md
new file mode 100644
index 00000000000..5b5eb255eea
--- /dev/null
+++ b/content/javascript/concepts/number-methods/terms/MAX-SAFE-INTEGER/MAX-SAFE-INTEGER.md
@@ -0,0 +1,66 @@
+---
+Title: '.MAX_SAFE_INTEGER'
+Description: 'Represents the largest integer that JavaScript can use while maintaining exact precision.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Methods'
+  - 'Numbers'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.MAX_SAFE_INTEGER`** static data property represents the maximum safe integer in JavaScript, which is:
+
+$$
+2^{53} - 1 = 9007199254740991
+$$
+
+It’s the largest integer that can be safely represented using the `Number` type without losing precision. This property is part of the `Number` class. To check if a value is a safe integer, use the `.isSafeInteger()` method. For integers larger than this limit, consider using the `BigInt` type instead.
+
+## Syntax
+
+```pseudo
+Number.MAX_SAFE_INTEGER;
+```
+
+**Parameters:**
+
+None as it's a static data property, not a function.
+
+**Return value:**
+
+Returns the largest safe integer representable by JavaScript's `Number` type.
+
+## Example
+
+This example demonstrates how `.MAX_SAFE_INTEGER` defines the upper limit for safe integers in JavaScript:
+
+```js
+console.log(Number.MAX_SAFE_INTEGER);
+
+console.log(Number.isSafeInteger(Number.MAX_SAFE_INTEGER));
+console.log(Number.isSafeInteger(Number.MAX_SAFE_INTEGER + 1));
+```
+
+The output produced by this code is:
+
+```shell
+9007199254740991
+true
+false
+```
+
+## Codebyte Example
+
+A codebyte example showing why it's best to avoid numbers larger than `.MAX_SAFE_INTEGER`:
+
+```codebyte/javascript
+const a = Number.MAX_SAFE_INTEGER + 1;
+const b = Number.MAX_SAFE_INTEGER + 2;
+console.log(a === b);
+```
+
+Both `a` and `b` evaluate to the same value because they exceed the maximum safe integer JavaScript can represent accurately. When numbers go beyond this limit, JavaScript starts to lose precision, which can lead to incorrect comparisons and unexpected results.

From d20cd37d375816194ba881cc1200ae3cfdefef7d Mon Sep 17 00:00:00 2001
From: Nate <nsmith7atafi@gmail.com>
Date: Fri, 1 Aug 2025 01:19:39 -0700
Subject: [PATCH 055/332] [Term Entry] Python Inheritance: Hybrid Inheritance
 (#7099)

* Initial commit

* Update based on term entry template guidelines

* Update Description based on review suggestions

* Update HybridClass value based on suggested change

* Update py based on suggested change

* Update indention to two spaces in example and codebyte based on suggested change

* Update shell based on suggested change

* Add note in syntax section based on suggested changes

* Add pictorial representation to diagram section and add Hybrid_Inheritance.png file to media

* Updated file name

* Update diagram picture alt text and url to match style-guide.md

* Updated alt text a second time and updated link url with file name

* Fix formating and ran scripts

---------
---
 .../hybrid-inheritance/hybrid-inheritance.md  | 108 ++++++++++++++++++
 media/Hybrid-Inheritance.png                  | Bin 0 -> 160220 bytes
 2 files changed, 108 insertions(+)
 create mode 100644 content/python/concepts/inheritance/terms/hybrid-inheritance/hybrid-inheritance.md
 create mode 100644 media/Hybrid-Inheritance.png

diff --git a/content/python/concepts/inheritance/terms/hybrid-inheritance/hybrid-inheritance.md b/content/python/concepts/inheritance/terms/hybrid-inheritance/hybrid-inheritance.md
new file mode 100644
index 00000000000..4411deaa2cc
--- /dev/null
+++ b/content/python/concepts/inheritance/terms/hybrid-inheritance/hybrid-inheritance.md
@@ -0,0 +1,108 @@
+---
+Title: 'Hybrid Inheritance'
+Description: 'Hybrid inheritance combines multiple types of inheritance, allowing a class to inherit features from more than one parent and represent complex real-world relationships.'
+Subjects:
+  - 'AI'
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'AI'
+  - 'Inheritance'
+  - 'Machine Learning'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**Hybrid inheritance** in Python combines multiple types of inheritance, such as single, multiple, and multilevel inheritance, within a single class hierarchy. It allows a class to inherit attributes and methods from multiple parent classes, often through a complex structure. Hybrid inheritance is useful for modeling real-world relationships where a class needs behaviors from various sources, but it requires careful design to avoid ambiguity, such as the diamond problem.
+
+## Diagram
+
+The following diagram shows a hybrid inheritance structure where a class inherits from multiple parent classes, combining multilevel and multiple inheritance:
+
+![Hybrid-Inheritance-Diagram](https://raw.githubusercontent.com/Codecademy/docs/main/media/Hybrid-Inheritance.png)
+
+- `System`: Base class with general functionality.
+- `Database`: Inherits from `System`, adds data storage capabilities.
+- `API`: Inherits from `System`, adds request handling capabilities.
+- `App`: Inherits from both `Database` and `API`, combining their features.
+
+## Syntax
+
+```python
+# Base class attributes and methods
+class BaseClass:
+
+# Inherits from BaseClass
+class DerivedClass1(BaseClass):
+
+# Inherits from BaseClass
+class DerivedClass2(BaseClass):
+
+# Inherits from DerivedClass1 and DerivedClass2
+class HybridClass(DerivedClass1, DerivedClass2):
+```
+
+- `BaseClass`: The top-level parent class.
+- `DerivedClass1`, `DerivedClass2`: Intermediate classes inheriting from `BaseClass`.
+- `HybridClass`: Inherits from both intermediate classes, forming a hybrid structure (mix of multilevel and multiple inheritance).
+
+> **Note:** Use commas in the class definition to specify multiple parent classes. Python’s Method Resolution Order (MRO) determines which parent class method is called in case of conflicts.
+
+## Example
+
+This example defines an `System` base class with a `process` method. `Database` and `API` inherit from `System`, adding `store` and `request` methods, respectively. `App` uses hybrid inheritance to inherit from both `Database` and `API`, combining their behaviors. The `describe` method in `App` calls methods from all parent classes, demonstrating access to inherited functionality.
+
+```py
+class System:
+  def process(self):
+    return "Processing data"
+
+class Database(System):
+  def store(self):
+    return "Storing data"
+
+class API(System):
+  def request(self):
+    return "Handling request"
+
+class App(Database, API):
+  def describe(self):
+    return f"{self.process()}, {self.store()}, {self.request()}"
+
+app = App()
+print(app.describe())
+```
+
+The output would be:
+
+```shell
+Processing data, Storing data, Handling request
+```
+
+## Codebyte
+
+```codebyte/python
+class System:
+  def process(self):
+    return "Processing data"
+
+class Database(System):
+  def store(self):
+    return "Storing data"
+
+class API(System):
+  def request(self):
+    return "Handling request"
+
+class App(Database, API):
+  def describe(self):
+    return f"{self.process()}, {self.store()}, {self.request()}"
+
+app = App()
+print(app.describe())
+```
+
+Hybrid inheritance can lead to the diamond problem, where a class inherits the same method from multiple parents. Python resolves this using the Method Resolution Order (MRO), accessible via **`ClassName.mro()`**. Use hybrid inheritance judiciously to avoid complex hierarchies that are hard to maintain. Ensure parent classes are designed to work together to prevent method conflicts.
diff --git a/media/Hybrid-Inheritance.png b/media/Hybrid-Inheritance.png
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HcmV?d00001


From 8aaaf74b88962ee4e4d8651860a754d30cfa2fd0 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 1 Aug 2025 17:09:45 +0530
Subject: [PATCH 056/332] [Term Entry] Swift Arrays: .count (#7202)

* [Term Entry] Swift Arrays: .count

* SEO changes

* Update count.md

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 create mode 100644 content/swift/concepts/arrays/terms/count/count.md

diff --git a/content/swift/concepts/arrays/terms/count/count.md b/content/swift/concepts/arrays/terms/count/count.md
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+---
+Title: '.count'
+Description: 'Returns the number of elements in an array.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Properties'
+  - 'Swift'
+  - 'Values'
+CatalogContent:
+  - 'learn-swift'
+  - 'paths/build-ios-apps-with-swiftui'
+---
+
+The Swift `.count` property is used to calculate the number of elements in an array. It's a built-in feature of Swift’s `Array` type and returns an `Int` that represents the number of elements in the array.
+
+## Swift `.count` Syntax
+
+```pseudo
+arrayName.count
+```
+
+**Parameters:**
+
+The Swift `.count` property takes no parameters.
+
+**Return value:**
+
+Returns an `Int` that represents the number of elements in the array.
+
+## Example 1: Using Swift `.count` on an Array
+
+In this example, the Swift `.count` property is used to find the number of elements in the `fruits` array:
+
+```swift
+let fruits = ["Apple", "Banana", "Mango"]
+print("Number of fruits: \(fruits.count)")
+```
+
+Here is the output:
+
+```shell
+Number of fruits: 3
+```
+
+## Example 2: Using Swift `.count` in a Conditional Statement
+
+In this example, Swift `.count` is used to check if the array is non-empty before performing calculations:
+
+```swift
+let scores = [95, 88, 76]
+
+if scores.count > 0 {
+  print("Scores available.")
+} else {
+  print("No scores available.")
+}
+```
+
+Here is the output:
+
+```shell
+Scores available.
+```
+
+## Example 3: Using Swift `.count` on an Empty Array
+
+In this example, the Swift `.count` property is used to find the length of an empty array:
+
+```swift
+let emptyArray: [String] = []
+
+if emptyArray.count == 0 {
+  print("The array is empty.")
+} else {
+  print("The array is not empty.")
+}
+```
+
+Here is the output:
+
+```shell
+The array is empty.
+```
+
+## Frequently Asked Questions
+
+### 1. Is Swift `.count` the same as `.length` in other languages?
+
+Yes. While many languages like JavaScript use `.length`, Swift uses `.count`. They serve the same purpose — returning the number of elements in an array — but the name differs according to language conventions.
+
+### 2. Is Swift `.count` performance-intensive for large arrays?
+
+No. Swift `.count` is efficient because it’s a computed property that retrieves an already-known size, not by iterating through the array.
+
+### 3. Can Swift `.count` be used with other collection types?
+
+Yes. Swift `.count` can also be used with:
+
+- Strings (Returns the number of characters)
+- Dictionaries (Returns the number of key-value pairs)
+- Sets (Returns the number of unique elements)

From 958d1f5b32176fd287d908863353ee0d08fcc360 Mon Sep 17 00:00:00 2001
From: Karishma Battina <67629745+karishma-battina@users.noreply.github.com>
Date: Fri, 1 Aug 2025 07:38:16 -0500
Subject: [PATCH 057/332] [Term Entry] PyTorch Tensor Operations: .div()

* Add div operation

* minor fixes

* Update div.md

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diff --git a/content/pytorch/concepts/tensor-operations/terms/div/div.md b/content/pytorch/concepts/tensor-operations/terms/div/div.md
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+---
+Title: '.div()'
+Description: 'Performs element-wise division of input tensors or a tensor by a scalar.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Neural Networks'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/machine-learning'
+---
+
+The **`.div()`** function performs element-wise division between tensors or divides a tensor by a scalar value. It is a fundamental tensor operation in PyTorch, commonly used for performing machine learning and deep learning tasks such as data preprocessing, normalization, and optimization.
+
+Element-wise operations are essential in tensor computations, enabling efficient parallel processing. The `.div()` function offers a simple and optimized way to handle division across tensors in neural networks and mathematical transformations.
+
+## Syntax
+
+```pseudo
+torch.div(input, other, *, rounding_mode=None, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input tensor (dividend).
+- `other`: The tensor or scalar to divide by (divisor).
+- `rounding_mode` (Optional): Controls the rounding behavior. Can be `None` (default), `trunc`, or `floor`.
+- `out` (Optional): The output tensor to store the result.
+
+**Return value:**
+
+A tensor with the result of element-wise division. If `out` is provided, the returned tensor is the same as `out`.
+
+## Example 1: Basic Usage of `.div()` with Tensors
+
+This example demonstrates how to use `.div()` to perform element-wise division between two tensors of the same shape:
+
+```py
+import torch
+
+# Create input tensors
+tensor1 = torch.tensor([4.0, 9.0, 16.0, 25.0])
+tensor2 = torch.tensor([2.0, 3.0, 4.0, 5.0])
+
+# Perform element-wise division
+result = torch.div(tensor1, tensor2)
+
+# Print results
+print("Tensor1 (dividend):", tensor1)
+print("Tensor2 (divisor):", tensor2)
+print("Division result:", result)
+```
+
+Here is the output:
+
+```shell
+Tensor1 (dividend): tensor([ 4.,  9., 16., 25.])
+Tensor2 (divisor): tensor([2., 3., 4., 5.])
+Division result: tensor([2., 3., 4., 5.])
+```
+
+The `.div()` operation computes the element-wise division of `tensor1` by `tensor2`. Each element in the resulting tensor is the quotient of the corresponding elements in the input tensors.
+
+## Example 2: Division with Rounding Modes
+
+The `.div()` function supports optional rounding modes when performing integer division, which control how the result is rounded:
+
+```py
+import torch
+
+# Create input tensors
+tensor1 = torch.tensor([5, 7, 10, 15])
+tensor2 = torch.tensor([2, 2, 3, 4])
+
+# Division with different rounding modes
+result_default = torch.div(tensor1, tensor2)
+result_floor = torch.div(tensor1, tensor2, rounding_mode='floor')
+result_trunc = torch.div(tensor1, tensor2, rounding_mode='trunc')
+
+# Print results
+print("Default division:", result_default)
+print("Floor division:", result_floor)
+print("Trunc division:", result_trunc)
+```
+
+Here is the output:
+
+```shell
+Default division: tensor([2.5000, 3.5000, 3.3333, 3.7500])
+Floor division: tensor([2, 3, 3, 3])
+Trunc division: tensor([2, 3, 3, 3])
+```
+
+The rounding modes control how the division results are handled:
+
+- Default mode performs true division, returning floating-point results.
+- `floor` mode rounds the result down toward negative infinity (i.e., floor division).
+- `trunc` mode truncates the decimal part, rounding toward zero.
+
+## Example 3: Data Normalization with `.div()`
+
+The `.div()` function is commonly used in data preprocessing and normalization. Here's an example of normalizing a dataset:
+
+```py
+import torch
+
+# Create a sample dataset (3 samples with 4 features each)
+dataset = torch.tensor([
+  [10.0, 20.0, 30.0, 40.0],
+  [15.0, 25.0, 35.0, 45.0],
+  [20.0, 30.0, 40.0, 50.0]
+])
+
+# Calculate the range (max - min) for each feature
+feature_min = dataset.min(dim=0).values
+feature_max = dataset.max(dim=0).values
+feature_range = feature_max - feature_min
+
+# Normalize the dataset to [0, 1] range using div
+normalized_data = torch.div(dataset - feature_min, feature_range)
+
+print("Original dataset:")
+print(dataset)
+print("\nNormalized dataset:")
+print(normalized_data)
+```
+
+Here is the output:
+
+```shell
+Original dataset:
+tensor([[10., 20., 30., 40.],
+        [15., 25., 35., 45.],
+        [20., 30., 40., 50.]])
+
+Normalized dataset:
+tensor([[0.0000, 0.0000, 0.0000, 0.0000],
+        [0.5000, 0.5000, 0.5000, 0.5000],
+        [1.0000, 1.0000, 1.0000, 1.0000]])
+```
+
+This example demonstrates how `.div()` can be used to normalize data to a specific range, which is a commonly performed preprocessing step in machine learning workflows.

From e0dd1424d608d9d1f44aa51f8718b01040f9d540 Mon Sep 17 00:00:00 2001
From: cloecoding <66653102+cloecoding@users.noreply.github.com>
Date: Fri, 1 Aug 2025 08:44:59 -0400
Subject: [PATCH 058/332] [Term Entry] PyTorch Tensor Operations: .cos()

* Add torch.cos() term entry for PyTorch with syntax and example

* fix: update cos.md to follow Codecademy Docs standards

* Update cos.md

* Update cos.md

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 .../tensor-operations/terms/cos/cos.md        | 76 +++++++++++++++++++
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diff --git a/content/pytorch/concepts/tensor-operations/terms/cos/cos.md b/content/pytorch/concepts/tensor-operations/terms/cos/cos.md
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+---
+Title: '.cos()'
+Description: 'Computes the cosine of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Deep Learning'
+  - 'PyTorch'
+  - 'Tensors'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/machine-learning'
+---
+
+The **`.cos()`** function computes the cosine of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors), applied element-wise, and returns a tensor of the same shape. It's part of PyTorch’s math operations used in scientific computing and deep learning.
+
+## Syntax
+
+```py
+torch.cos(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): Input tensor with elements in radians.
+- `out` (Tensor, optional): Optional tensor to store the output.
+
+**Return value:**
+
+A tensor with the cosine of each element in the input, having the same shape.
+
+## Example 1: Using `.cos()` with a 1D tensor
+
+In this example, `.cos()` computes the cosine of a 1D tensor containing angles in radians:
+
+```py
+import torch
+
+# Create a tensor with values in radians
+x = torch.tensor([0, torch.pi / 2, torch.pi])
+
+# Compute the cosine
+y = torch.cos(x)
+
+print(y)
+```
+
+The output of this code is:
+
+```shell
+tensor([ 1.0000e+00, -4.3711e-08, -1.0000e+00])
+```
+
+## Example 2: Applying `.cos()` with a 2D tensor
+
+In this example, `.cos()` is applied to a 2D tensor of angles in radians:
+
+```py
+import torch
+
+# Create a 2x2 tensor
+matrix = torch.tensor([[0, torch.pi / 3], [torch.pi / 2, torch.pi]])
+
+# Compute the cosine
+result = torch.cos(matrix)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([[ 1.0000e+00,  5.0000e-01],
+        [-4.3711e-08, -1.0000e+00]])
+```

From 68d14c8591f29f51ca24bfe773642b7b309b73e9 Mon Sep 17 00:00:00 2001
From: Love Holmgren <143357495+hevolx@users.noreply.github.com>
Date: Fri, 1 Aug 2025 14:52:33 +0200
Subject: [PATCH 059/332] [Term Entry] C++ Sets: max_size()

* Add max_size.md term entry for C++ Sets with description, syntax, example, and codebyte

* correctly changed file-location from sets/max_size/max_size.md -> max_size/max_size.md

* content tweak and changed file name

* Update max-size.md

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diff --git a/content/cpp/concepts/sets/terms/max-size/max-size.md b/content/cpp/concepts/sets/terms/max-size/max-size.md
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index 00000000000..30b13f96eb7
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@@ -0,0 +1,69 @@
+---
+Title: 'max_size()'
+Description: 'Returns the maximum number of elements the set can hold.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'Sets'
+  - 'STL'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+**`max_size()`** is a member function of C++ containers like `std::set` that returns the maximum number of elements the container can hold, based on the system or allocator limitations. It does not reflect the current size, but the theoretical upper bound.
+
+## Syntax
+
+```pseudo
+set_name.max_size()
+```
+
+**Parameters:**
+
+This function does not take any parameters.
+
+**Return value:**
+
+Returns an integral value of type `size_type` (usually `std::size_t`) representing the maximum number of elements the set can theoretically contain, based on system or allocator limitations.
+
+## Example: Using `max_size()` with `std::set`
+
+This code checks the maximum number of elements a `std::set` can theoretically hold, depending on system and allocator limits:
+
+```cpp
+#include <iostream>
+#include <set>
+
+int main() {
+  std::set<int> mySet;
+  std::cout << "Maximum size of the set: " << mySet.max_size() << std::endl;
+  return 0;
+}
+```
+
+The possible output of this code is:
+
+```shell
+Maximum size of the set: 4611686018427387903
+```
+
+> **Note:** The actual result may vary by system and compiler.
+
+## Codebyte Example: Using `max_size()` with `std::set<std::string>`
+
+Here is a runnable codebyte example that demonstrates how to use `max_size()` with a `std::set<std::string>` to check its theoretical capacity:
+
+```codebyte/cpp
+#include <iostream>
+#include <set>
+#include <string>
+
+int main() {
+  std::set<std::string> stringSet;
+  std::cout << "Maximum size of the string set: " << stringSet.max_size() << std::endl;
+  return 0;
+}
+```

From 120b55fd03720be268c35bceaddb4eb1edcdf51f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Alberto=20=20Jes=C3=BAs=20Tepale=20Diagas?=
 <albertoJTD@outlook.com>
Date: Tue, 5 Aug 2025 00:01:49 -0600
Subject: [PATCH 060/332] [Term Entry] NumPy ndarray: .squeeze()

* [Term Entry] Numpy methods: .squeeze()

* Update and rename content/numpy/concepts/squeeze/squeeze.md to content/numpy/concepts/ndarray/terms/squeeze/squeeze.md

* Update squeeze.md

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 .../concepts/ndarray/terms/squeeze/squeeze.md | 93 +++++++++++++++++++
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 create mode 100644 content/numpy/concepts/ndarray/terms/squeeze/squeeze.md

diff --git a/content/numpy/concepts/ndarray/terms/squeeze/squeeze.md b/content/numpy/concepts/ndarray/terms/squeeze/squeeze.md
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index 00000000000..3754927f980
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/squeeze/squeeze.md
@@ -0,0 +1,93 @@
+---
+Title: '.squeeze()'
+Description: 'Removes dimensions of size 1 from an ndarray.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Math'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+Numpy's **`.squeeze()`** is used to remove dimensions of size 1 from an array, returning a reshaped array without those singleton dimensions.
+
+## Syntax
+
+```pseudo
+ndarray.squeeze(axis=None)
+```
+
+**Parameters:**
+
+- `axis`: Specifies which axis or axes to squeeze. If set to `None` (default), all dimensions of size 1 are removed. If any specified axis is not of size 1, it raises a `ValueError`.
+
+**Return value:**
+
+Returns a view of the input array with the specified singleton dimensions removed.
+
+## Example 1: Removing All Singleton Dimensions Using `.squeeze()`
+
+In this example, `.squeeze()` is used without the `axis` parameter to remove all dimensions of size 1 from a 3D array:
+
+```py
+import numpy as np
+
+np_array = np.array([[[1, 2, 3], [1, 2, 3]]])
+print(np_array.shape)  # (1, 2, 3)
+
+squeezed_array = np.squeeze(np_array)
+print(squeezed_array.shape)
+```
+
+The output of this code is:
+
+```shell
+(2, 3)
+```
+
+## Example 2: Removing a Specific Dimension Using `.squeeze()`
+
+In this example, `.squeeze(axis=0)` removes the first dimension explicitly from an array with shape `(1, 2, 3)`:
+
+```py
+import numpy as np
+
+np_array = np.array([[[1, 2, 3], [1, 2, 3]]])
+squeezed_array = np.squeeze(np_array, axis=0)
+
+# Output shape after squeezing
+print(squeezed_array.shape)
+print(squeezed_array)
+```
+
+The output of this code is:
+
+```shell
+(2, 3)
+[[1 2 3]
+ [1 2 3]]
+```
+
+Only axis 0 is removed since it has size 1, resulting in a 2D array.
+
+## Codebyte Example: Removing Multiple Dimensions With a Tuple Using `.squeeze()`
+
+In this example, `.squeeze(axis=(0, 2))` removes both the first and third dimensions from a shape `(1, 3, 1)`:
+
+```codebyte/python
+import numpy as np
+
+array_of_zeros = np.zeros((1, 3, 1))
+print(array_of_zeros.shape)
+
+squeezed = np.squeeze(array_of_zeros, axis=(0, 2))
+print(squeezed.shape)
+print(squeezed)
+```
+
+Axes 0 and 2, both of size 1, will be removed, leaving a flat array of shape `(3,)`.

From c5079fa4e1e1a213279fe86d55f17d85c61524c8 Mon Sep 17 00:00:00 2001
From: Ariel <ariegonzaguer@gmail.com>
Date: Tue, 5 Aug 2025 00:08:04 -0600
Subject: [PATCH 061/332] [Term Entry] JavaScript Arrays: .keys()

* Create fromCharCode.md

* Update fromCharCode.md

* Fix formatting and improve clarity in fromCharCode() documentation

* Add documentation for the reduceRight() array method

* Remove conflicting code block from Codebyte example in fromCharCode() documentation

* Fix description formatting and update variable names in reduceRight() documentation

* Add documentation for the .keys() array method

* Update reduceRight() documentation for clarity and consistency

* Fix missing newline at end of reduceRight.md file

* minor fixes

* Update keys.md

---------
---
 .../concepts/arrays/terms/keys/keys.md        | 83 +++++++++++++++++++
 1 file changed, 83 insertions(+)
 create mode 100644 content/javascript/concepts/arrays/terms/keys/keys.md

diff --git a/content/javascript/concepts/arrays/terms/keys/keys.md b/content/javascript/concepts/arrays/terms/keys/keys.md
new file mode 100644
index 00000000000..a1f9038e8e7
--- /dev/null
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@@ -0,0 +1,83 @@
+---
+Title: '.keys()'
+Description: 'Returns a new array iterator object containing the keys for each index in the array.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arrays'
+  - 'Iterators'
+  - 'JavaScript'
+  - 'Methods'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.keys()`** method returns a new array iterator object containing the keys (indices) for each index in the array.
+
+## Syntax
+
+```pseudo
+array.keys();
+```
+
+**Parameters:**
+
+- This method does not take any parameters.
+
+**Return value:**
+
+- A new array iterator object containing the keys (indices) of the array.
+
+## Example 1: Using `.keys()` to Get Array Indices
+
+In this example, the `.keys()` method creates an iterator over the indices of the array:
+
+```js
+const cats = ['Sundae', 'Gandalf', 'Campanita'];
+const catsIterator = cats.keys();
+
+for (const cat of catsIterator) {
+  console.log(cat);
+}
+```
+
+Here is the output:
+
+```shell
+0
+1
+2
+```
+
+## Example 2: Converting the `.keys()` Iterator to an Array
+
+In this example, the spread operator (`...`) with `.keys()` is used to convert the index iterator into a full array of indices:
+
+```js
+const colors = ['red', 'black', 'white'];
+const indices = [...colors.keys()];
+
+console.log('Array indices: ', indices);
+console.log('First index: ', indices[0]);
+```
+
+Here is the output:
+
+```shell
+Array indices:  [0, 1, 2]
+First index:  0
+```
+
+## Codebyte Example: Using `.keys()` with Sparse Arrays
+
+In this codebyte example, `.keys()` is used on a sparse array. Even though some elements are missing, `.keys()` still returns all valid indices:
+
+```codebyte/javascript
+const sparseArray = ['Lia', , 'ny', , '💖'];
+const keys = [...sparseArray.keys()];
+
+console.log('Keys:', keys);
+console.log('Length:', sparseArray.length);
+```

From 736935aa224090b713123cc58dde659390a3503f Mon Sep 17 00:00:00 2001
From: Achyut-Kr <achyutkuumar67@gmail.com>
Date: Tue, 5 Aug 2025 11:54:46 +0530
Subject: [PATCH 062/332] [Term Entry] NumPy ndarray: .searchsorted()

* Create new searchsorted() term entry under ndarray in Numpy docs

* content fix, added codebyte

* Update searchsorted.md

* Update searchsorted.md

---------
---
 .../terms/searchsorted/searchsorted.md        | 64 +++++++++++++++++++
 1 file changed, 64 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/searchsorted/searchsorted.md

diff --git a/content/numpy/concepts/ndarray/terms/searchsorted/searchsorted.md b/content/numpy/concepts/ndarray/terms/searchsorted/searchsorted.md
new file mode 100644
index 00000000000..2f3da9f2847
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/searchsorted/searchsorted.md
@@ -0,0 +1,64 @@
+---
+Title: '.searchsorted()'
+Description: 'Returns the index where a value should be inserted to maintain order.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Binary Search'
+  - 'NumPy'
+  - 'Search'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In NumPy, the **`.searchsorted()`** function returns the index where a value should be inserted to maintain order.
+
+## Syntax
+
+```pseudo
+ndarray.searchsorted(value, side='left', sorter=None)
+```
+
+**Parameters:**
+
+- `value` (array_like): Values to insert into the array.
+- `side` (default=`'left'`, optional): Determines whether to return the first suitable location (`'left'`) or last (`'right'`).
+- `sorter` (1-D array_like, optional): Specifies a pre-sorted index array for the search (used if the array isn’t sorted).
+
+**Return value:**
+
+The index (or indices) where `values` should be inserted to maintain order.
+
+## Example
+
+In this example, `.searchsorted()` finds the index where the value `3` should be inserted to keep the array sorted:
+
+```py
+import numpy as np
+
+arr = np.array([11, 22, 33, 44, 55])
+index = arr.searchsorted(33)
+print(index)
+```
+
+The result is `2`, which is the position of the first `33` in the sorted array:
+
+```shell
+2
+```
+
+## Codebyte Example
+
+In this codebyte example, `.searchsorted()` finds where a new test score should be inserted in a sorted list of scores:
+
+```codebyte/python
+import numpy as np
+
+scores = np.array([55, 60, 65, 70, 75])
+new_score = 68
+position = scores.searchsorted(new_score)
+print(position)
+```

From e6189956cfcaba024918555ed9823bc17e1bd846 Mon Sep 17 00:00:00 2001
From: JGVSAI16 <j16run@gmail.com>
Date: Tue, 5 Aug 2025 08:39:44 -0400
Subject: [PATCH 063/332] [Term Entry] PyTorch Tensor Operations: .copysign()

* Added term entry for Pytorch's .copysign function

* Corrected formatting errors in copysign.md  before making a PR

* Update copysign.md

* Update copysign.md

* Update copysign.md

---------
---
 .../terms/copysign/copysign.md                | 93 +++++++++++++++++++
 1 file changed, 93 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/copysign/copysign.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/copysign/copysign.md b/content/pytorch/concepts/tensor-operations/terms/copysign/copysign.md
new file mode 100644
index 00000000000..d1496534440
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/copysign/copysign.md
@@ -0,0 +1,93 @@
+---
+Title: '.copysign()'
+Description: 'Returns a tensor with the magnitude of the first input and the sign of the second input, element-wise.'
+Subjects:
+  - 'AI'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'learn-pytorch'
+  - 'paths/data-science'
+---
+
+PyTorch's **`.copysign()`** function creates a new tensor by combining the magnitude of the first input with the sign of the second input, element-wise.
+
+> **Note:** If the first input contains booleans, they are cast to floats (`True` becomes `1.0`, `False` becomes `0.0`). `-0.0` or `-0` in the second input is treated as a negative sign, while `0.0` or `0` is treated as positive, and these signs are preserved when copied.
+
+## Syntax
+
+```pseudo
+torch.copysign(input, other, *, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor providing magnitudes.
+- `other` (Tensor): The tensor whose sign will be copied to input. Must be broadcastable to the shape of `input`.
+- `out` (Tensor, optional): The tensor to store the output. Must have the same shape as the broadcasted result.
+
+> **Note:** The tensors must be [broadcastable](https://www.codecademy.com/resources/docs/numpy/array-broadcasting) in order to perform the operation. Otherwise, this will result in a `RuntimeError`.
+
+**Return value:**
+
+A tensor where each element has the absolute value of the corresponding element in `input` and the sign of the corresponding element in `other`.
+
+## Example 1
+
+This example shows how to copy signs from the `signs` tensor to the `magnitudes` tensor using `.copysign()`:
+
+```py
+import torch
+
+# Initializing tensors
+magnitudes = torch.tensor([-5.0, True, -8.0])
+signs = torch.tensor([-0.0, 0.0, 3.0])
+
+# Using torch.copysign to copy the sign from 'signs' to 'magnitudes'
+result = torch.copysign(magnitudes, signs)
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([-5., 1., 8.])
+```
+
+## Example 2
+
+This example shows how to copy the sign from a one-dimensional `signs` tensor to a two-dimensional `magnitudes` tensor using broadcasting. Each row of `magnitudes` is aligned with the corresponding value in `signs`, and the sign is applied column-wise:
+
+```py
+import torch
+
+torch.manual_seed(0)
+
+# Create a 3x3 tensor of magnitudes
+magnitudes = torch.rand(3, 3)
+print("Magnitudes:\n", magnitudes)
+
+# 1D tensor whose signs will be broadcast across rows
+signs = torch.tensor([0.6323, 0.3489, -0.4017])
+
+# Apply copysign with broadcasting
+result = torch.copysign(magnitudes, signs)
+print("\nResult:\n", result)
+```
+
+The output of this code is:
+
+```shell
+Magnitudes:
+ tensor([[0.4963, 0.7682, 0.0885],
+        [0.1320, 0.3074, 0.6341],
+        [0.4901, 0.8964, 0.4556]])
+
+Result:
+ tensor([[ 0.4963,  0.7682, -0.0885],
+        [ 0.1320,  0.3074, -0.6341],
+        [ 0.4901,  0.8964, -0.4556]])
+```

From a77e1875881ac5ea91c90ab6c78bb86b8a8fb5a1 Mon Sep 17 00:00:00 2001
From: arisdelacruz <115809819+arisdelacruz@users.noreply.github.com>
Date: Tue, 5 Aug 2025 20:52:37 +0800
Subject: [PATCH 064/332] [Term Entry] PyTorch Tensor Operations: .digamma()

* Create digamma entry for PyTorch

* Update digamma

* Update digamma

* Update and rename digamma to digamma.md

* Minor changes

---------
---
 .../terms/digamma/digamma.md                  | 54 +++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/digamma/digamma.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/digamma/digamma.md b/content/pytorch/concepts/tensor-operations/terms/digamma/digamma.md
new file mode 100644
index 00000000000..468e03ee801
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/digamma/digamma.md
@@ -0,0 +1,54 @@
+---
+Title: '.digamma()'
+Description: 'Computes the digamma function, which is the logarithmic derivative of the gamma function.'
+Subjects:
+  - 'AI'
+  - 'Data Science'
+Tags:
+  - 'AI'
+  - 'Data Types'
+  - 'Deep Learning'
+  - 'Functions'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+In PyTorch, the **`.digamma()`** function computes the logarithmic derivative of the gamma function, alternatively known as the digamma function. It is often used in statistical modeling, especially in variational inference and probabilistic programming.
+
+## Syntax
+
+```pseudo
+torch.digamma(input, *, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor.
+- `out` (Tensor, optional): The output tensor to store results. Must be the same shape as `input`.
+
+**Return value:**
+
+Returns a tensor containing the result.
+
+## Example
+
+This example demonstrates the usage of the `.digamma()` function:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([1.0, 2.0, 3.0])
+
+# Compute the digamma function
+y = x.digamma()
+
+print(y)
+```
+
+Here is the output:
+
+```shell
+tensor([-0.5772,  0.4228,  0.9228])
+```

From 8fe11fd8ef7527e5f3d0af2bfa666d5ec151fa70 Mon Sep 17 00:00:00 2001
From: Atul Deshpande <159980686+AtulDeshpande09@users.noreply.github.com>
Date: Tue, 5 Aug 2025 18:26:39 +0530
Subject: [PATCH 065/332] [Term Entry] PyTorch Tensor Operations: .cosh()

* Create cosh.md

* minor fixes

* Update cosh.md

---------
---
 .../tensor-operations/terms/cosh/cosh.md      | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/cosh/cosh.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/cosh/cosh.md b/content/pytorch/concepts/tensor-operations/terms/cosh/cosh.md
new file mode 100644
index 00000000000..0737f554f16
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/cosh/cosh.md
@@ -0,0 +1,55 @@
+---
+Title: '.cosh()'
+Description: 'Returns the hyperbolic cosine of the given input.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.cosh()`** function computes the hyperbolic cosine of the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). Hyperbolic functions like `.cosh()` are often used in signal processing, physics simulations, and certain neural network transformations.
+
+## Syntax
+
+```pseudo
+torch.cosh(input, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input tensor containing elements for which to compute the hyperbolic cosine.
+- `out` (Optional): The output tensor to store the result. If provided, the result is written to this tensor in-place.
+
+**Return value:**
+
+A tensor with the same shape as `input`, where each element is hyperbolic cosine of given element. If `out` is specified, the returned tensor is the same as `out`.
+
+## Example
+
+This example demonstrates the usage of the `.cosh()` function:
+
+```py
+import torch
+
+# Input tensor
+a = torch.tensor([ 0.1632,  1.1835, -0.6979, -0.7325])
+
+# Calculates hyperbolic cosine
+out = torch.cosh(a)
+
+# Print the result
+print(out)
+```
+
+Here is the output:
+
+```shell
+tensor([ 1.0133,  1.7860,  1.2536,  1.2805])
+```

From ad795fcc2118010628d97d74e0503e7ec4d366c2 Mon Sep 17 00:00:00 2001
From: Mohit5Upadhyay <129863157+Mohit5Upadhyay@users.noreply.github.com>
Date: Wed, 6 Aug 2025 12:21:37 +0530
Subject: [PATCH 066/332] [Term Entry] C++ Unordered Map: .reserve()

* docs(cpp): add reserve() entry for unordered_map #7144

* Update reserve.md

* Minor changes

---------
---
 .../unordered-map/terms/reserve/reserve.md    | 104 ++++++++++++++++++
 1 file changed, 104 insertions(+)
 create mode 100644 content/cpp/concepts/unordered-map/terms/reserve/reserve.md

diff --git a/content/cpp/concepts/unordered-map/terms/reserve/reserve.md b/content/cpp/concepts/unordered-map/terms/reserve/reserve.md
new file mode 100644
index 00000000000..620808a171c
--- /dev/null
+++ b/content/cpp/concepts/unordered-map/terms/reserve/reserve.md
@@ -0,0 +1,104 @@
+---
+Title: '.reserve()'
+Description: 'Reserves space for at least the specified number of elements in an unordered map.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Map'
+  - 'Memory'
+  - 'Objects'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.reserve()`** method reserves space for at least the specified number of elements in an unordered map, helping optimize performance by reducing costly rehash operations during bulk insertions.
+
+## Syntax
+
+```pseudo
+mapName.reserve(count);
+```
+
+**Parameters:**
+
+- `count`: The minimum number of elements to reserve space for.
+
+**Return value:**
+
+This is a `void` method. It doesn’t return a value but affects the internal capacity of the unordered map.
+
+## Example
+
+This example demonstrates the use of the `.reserve()` method with an unordered map to optimize performance when adding student grades:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+
+int main() {
+  // Initializing unordered_map and reserving space for 10 elements
+  std::unordered_map<std::string, int> studentGrades;
+  studentGrades.reserve(10);
+
+  // Adding student grades
+  studentGrades["Alice"] = 95;
+  studentGrades["Bob"] = 87;
+  studentGrades["Charlie"] = 92;
+  studentGrades["Diana"] = 88;
+
+  std::cout << "Student grades after reservation:\n";
+  for (const auto& student : studentGrades) {
+    std::cout << student.first << ": " << student.second << std::endl;
+  }
+
+  std::cout << "Bucket count: " << studentGrades.bucket_count() << std::endl;
+
+  return 0;
+}
+```
+
+Here is the output:
+
+```shell
+Student grades after reservation:
+Charlie: 92
+Bob: 87
+Diana: 88
+Alice: 95
+Bucket count: 11
+```
+
+## Codebyte Example
+
+This codebyte example demonstrates the use of the `.reserve()` method with an unordered map to store employee information efficiently:
+
+```codebyte/cpp
+#include <iostream>
+#include <unordered_map>
+
+int main() {
+  // Initializing unordered_map with employee IDs and names
+  std::unordered_map<int, std::string> employees;
+
+  // Reserve space for 8 employees to optimize performance
+  employees.reserve(8);
+
+  // Adding employee data
+  employees[101] = "John";
+  employees[102] = "Sarah";
+  employees[103] = "Mike";
+  employees[104] = "Emma";
+
+  std::cout << "Employee roster:\n";
+  for (const auto& emp : employees) {
+    std::cout << "ID " << emp.first << ": " << emp.second << std::endl;
+  }
+
+  std::cout << "Reserved bucket count: " << employees.bucket_count() << std::endl;
+
+  return 0;
+}
+```

From 5913b8d383636239f0d53bb9d9eccf6a17d0907b Mon Sep 17 00:00:00 2001
From: Lim Jie Ming <144165276+drywantonmee@users.noreply.github.com>
Date: Wed, 6 Aug 2025 15:00:06 +0800
Subject: [PATCH 067/332] [Term Entry] NumPy Ndarray: .swapaxes()

* Add documentation for numpy.ndarray.swapaxes

* minor fixes

* Minor changes

---------
---
 .../ndarray/terms/swapaxes/swapaxes.md        | 64 +++++++++++++++++++
 1 file changed, 64 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/swapaxes/swapaxes.md

diff --git a/content/numpy/concepts/ndarray/terms/swapaxes/swapaxes.md b/content/numpy/concepts/ndarray/terms/swapaxes/swapaxes.md
new file mode 100644
index 00000000000..13e2205603f
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/swapaxes/swapaxes.md
@@ -0,0 +1,64 @@
+---
+Title: '.swapaxes()'
+Description: 'Returns a view of the array with two axes interchanged.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Functions'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+NumPy's **`.swapaxes()`** method returns a view of the array with the specified axes interchanged, without copying data. It’s useful for reorienting multi-dimensional arrays for analysis, transformation, or visualization.
+
+## Syntax
+
+```pseudo
+ndarray.swapaxes(axis1, axis2)
+```
+
+**Parameters:**
+
+- `axis1`: An `int` representing the first axis to be swapped.
+- `axis2`: An `int` representing the second axis to be swapped.
+
+**Return value:**
+
+Returns an `ndarray` view of the original array with `axis1` and `axis2` interchanged. The shape of the returned array is the same as the original, but with the specified axes swapped.
+
+## Example
+
+This example creates a 2D array and then swaps its axes using `.swapaxes()`:
+
+```py
+import numpy as np
+
+arr = np.array([[1, 2, 3], [4, 5, 6]])
+swapped_arr = arr.swapaxes(0, 1)
+print(swapped_arr)
+```
+
+Here is the output:
+
+```shell
+[[1 4]
+ [2 5]
+ [3 6]]
+```
+
+## Codebyte Example
+
+This codebyte example demonstrates the use of `.swapaxes()` on a 3D array:
+
+```codebyte/python
+import numpy as np
+
+arr = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
+swapped_arr = arr.swapaxes(0, 2)
+print(swapped_arr)
+```

From eb7a2e85f4bf2908b89ab9b1ff96cd7bc09ef6d4 Mon Sep 17 00:00:00 2001
From: Henrique Gava <henriquegavabarreto@gmail.com>
Date: Wed, 6 Aug 2025 00:03:21 -0700
Subject: [PATCH 068/332] [Edit] Swift: Tuples

* clarifies note about naming convention

* removes code markdown to follow Codecademy Docs style guide

* Update tuples.md

---------
---
 content/swift/concepts/tuples/tuples.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/swift/concepts/tuples/tuples.md b/content/swift/concepts/tuples/tuples.md
index 65aa2ec39c0..eb4582471ab 100644
--- a/content/swift/concepts/tuples/tuples.md
+++ b/content/swift/concepts/tuples/tuples.md
@@ -24,7 +24,7 @@ CatalogContent:
 var myTuple = (value1, value2, ...)
 ```
 
-> **Note:** Names should be in camelCase.
+> **Note:** Variable names and property names in Swift should follow the [API Design Guidelines](https://www.swift.org/documentation/api-design-guidelines/) and be in lowerCamelCase.
 
 ## Accessing and Changing Values
 

From 708d3843d429d920557268d90f3c26e706aac0d9 Mon Sep 17 00:00:00 2001
From: Mohit5Upadhyay <129863157+Mohit5Upadhyay@users.noreply.github.com>
Date: Wed, 6 Aug 2025 12:43:37 +0530
Subject: [PATCH 069/332] [Term Entry] Java Queue: .peek()

* add: java queue .peek() method term entry

* minor tweaks

* Minor changes

---------
---
 .../java/concepts/queue/terms/peek/peek.md    | 140 ++++++++++++++++++
 1 file changed, 140 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/peek/peek.md

diff --git a/content/java/concepts/queue/terms/peek/peek.md b/content/java/concepts/queue/terms/peek/peek.md
new file mode 100644
index 00000000000..1ace4046c7b
--- /dev/null
+++ b/content/java/concepts/queue/terms/peek/peek.md
@@ -0,0 +1,140 @@
+---
+Title: '.peek()'
+Description: 'Returns the head element of the queue without removing it, or null if the queue is empty.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Algorithms'
+  - 'Collections'
+  - 'Data Structures'
+  - 'Methods'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+In Java, the **`.peek()`** method retrieves the head element of a queue without removing it from the queue. If the queue has no elements, it returns `null` instead of throwing an exception. This makes it a safe way to check what element is next in line without modifying the queue structure.
+
+## Syntax
+
+```pseudo
+queueName.peek()
+```
+
+**Return value:**
+
+Retrieves the head of the queue without removing it. Returns `null` if the queue is empty.
+
+## Example 1: Basic Usage of `.peek()`
+
+This example demonstrates how `.peek()` is used to inspect the next element without removing it from the queue:
+
+```java
+import java.util.Queue;
+import java.util.LinkedList;
+
+public class Main {
+  public static void main(String[] args) {
+    // Create a queue for customer service
+    Queue<String> customerQueue = new LinkedList<>();
+
+    // Add customers to the queue
+    customerQueue.offer("Alice");
+    customerQueue.offer("Bob");
+    customerQueue.offer("Charlie");
+
+    System.out.println("Queue: " + customerQueue);
+
+    // Peek at the next customer without removing them
+    String nextCustomer = customerQueue.peek();
+    System.out.println("Next customer to be served: " + nextCustomer);
+
+    // Queue remains unchanged after peek
+    System.out.println("Queue after peek: " + customerQueue);
+    System.out.println("Queue size: " + customerQueue.size());
+
+    // Serve the customer
+    String servedCustomer = customerQueue.poll();
+    System.out.println("Served customer: " + servedCustomer);
+    System.out.println("Updated queue: " + customerQueue);
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Queue: [Alice, Bob, Charlie]
+Next customer to be served: Alice
+Queue after peek: [Alice, Bob, Charlie]
+Queue size: 3
+Served customer: Alice
+Updated queue: [Bob, Charlie]
+```
+
+This example shows how `.peek()` provides read-only access to the head element, keeping the queue unchanged until an actual removal operation is performed.
+
+## Example 2: Handling Empty Queues with `.peek()`
+
+This example shows how `.peek()` safely handles empty queues by returning `null` instead of throwing exceptions:
+
+```java
+import java.util.Queue;
+import java.util.LinkedList;
+
+public class EmptyQueueHandling {
+  public static void main(String[] args) {
+    Queue<String> messageQueue = new LinkedList<>();
+
+    // Peek at empty queue
+    String result = messageQueue.peek();
+    System.out.println("Peek on empty queue: " + result);
+    System.out.println("Queue is empty: " + messageQueue.isEmpty());
+
+    // Add some messages
+    messageQueue.offer("Welcome message");
+    messageQueue.offer("Alert notification");
+
+    // Peek at non-empty queue
+    String nextMessage = messageQueue.peek();
+    System.out.println("Next message: " + nextMessage);
+
+    // Process all messages while checking what's next
+    while (!messageQueue.isEmpty()) {
+      String current = messageQueue.peek();
+      System.out.println("About to process: " + current);
+
+      String processed = messageQueue.poll();
+      System.out.println("Processed: " + processed);
+
+      // Check if there are more messages
+      String upcoming = messageQueue.peek();
+      if (upcoming != null) {
+        System.out.println("Next up: " + upcoming);
+      } else {
+        System.out.println("No more messages in queue");
+      }
+      System.out.println("---");
+    }
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Peek on empty queue: null
+Queue is empty: true
+Next message: Welcome message
+About to process: Welcome message
+Processed: Welcome message
+Next up: Alert notification
+---
+About to process: Alert notification
+Processed: Alert notification
+No more messages in queue
+---
+```
+
+This example demonstrates the safety of `.peek()` when dealing with potentially empty queues, making it ideal for defensive programming practices.

From cade004500932782dca1c964fa7a2859cc85d14e Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 6 Aug 2025 13:57:03 +0530
Subject: [PATCH 070/332] [Term Entry] Swift Arrays: dropFirst() (#7403)

---
 .../arrays/terms/dropFirst/dropFirst.md       | 102 ++++++++++++++++++
 1 file changed, 102 insertions(+)
 create mode 100644 content/swift/concepts/arrays/terms/dropFirst/dropFirst.md

diff --git a/content/swift/concepts/arrays/terms/dropFirst/dropFirst.md b/content/swift/concepts/arrays/terms/dropFirst/dropFirst.md
new file mode 100644
index 00000000000..ca339267f2e
--- /dev/null
+++ b/content/swift/concepts/arrays/terms/dropFirst/dropFirst.md
@@ -0,0 +1,102 @@
+---
+Title: 'dropFirst()'
+Description: 'Returns a subsequence by skipping the first element or first n elements from a Swift collection.'
+Subjects:
+  - 'Computer Science'
+  - 'Mobile Development'
+Tags:
+  - 'Arrays'
+  - 'Collections'
+  - 'Swift'
+CatalogContent:
+  - 'learn-swift'
+  - 'paths/build-ios-apps-with-swiftui'
+---
+
+In Swift, the **`dropFirst()`** method is used on collections like [arrays](https://www.codecademy.com/resources/docs/swift/arrays), strings, and other sequences to return a subsequence with the first element (or first _n_ elements) removed. It doesn’t mutate the original collection, but returns a new subsequence starting from the dropped position.
+
+## Syntax
+
+```pseudo
+collection.dropFirst(n)
+```
+
+**Parameters:**
+
+- `n` (Optional): An `Int` representing the number of elements to skip. If omitted, it defaults to 1.
+
+**Return value:**
+
+Returns a `SubSequence` meaning a view into the original collection with the specified number of leading elements removed.
+
+## Example 1: Removing the First Element from an Array
+
+This example drops the first item in an array of numbers:
+
+```swift
+let scores = [90, 85, 80, 75]
+let updatedScores = scores.dropFirst()
+
+print(updatedScores)
+```
+
+The output of this code is:
+
+```shell
+[85, 80, 75]
+```
+
+## Example 2: Dropping the First 3 Names from a List
+
+This example skips the first three values in an array of strings:
+
+```swift
+let names = ["Alice", "Bob", "Charlie", "Dana", "Eve"]
+let remaining = names.dropFirst(3)
+
+print(remaining)
+```
+
+The output of this code is:
+
+```shell
+["Dana", "Eve"]
+```
+
+## Example 3: Converting Result Back to an Array
+
+Since `dropFirst()` returns a `SubSequence`, use `Array()` to convert the result when you need an actual array:
+
+```swift
+let data = [1, 2, 3, 4, 5]
+let trimmed = Array(data.dropFirst(2))
+
+print(trimmed)
+```
+
+The output of this code is:
+
+```shell
+[3, 4, 5]
+```
+
+## Frequently asked questions
+
+### 1. What is the type of an array in Swift?
+
+In Swift, arrays are generic collections. This means the type of array depends on the type of elements it holds. For example:
+
+- `let numbers: [Int] = [1, 2, 3]` is an array of integers (`[Int]`)
+- `let names: [String] = ["Alice", "Bob"]` is an array of strings (`[String]`)
+
+### 2. Are Swift arrays dynamic?
+
+Yes, Swift arrays are dynamic. This means they can grow or shrink in size:
+
+- You can append new elements using `.append()` or `+=`
+- You can remove elements using `.remove(at:)`, `.removeFirst()`, etc.
+
+### 3. What is the difference between `dropFirst()` and `removeFirst()` in Swift?
+
+- `dropFirst()` returns a new array after skipping the first element (or a specified number of elements) without modifying the original array.
+- `removeFirst()` removes and returns the first element (or first `n` elements) from the original array, modifying it in place.

From a685e944297424e4c46186bc292b72ec35b69ec0 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 6 Aug 2025 14:19:10 +0530
Subject: [PATCH 071/332] [Entry] C++ unordered map: hash_function() (#7390)

* [Entry] C++ unordered map: hash_function()

* minor changes

* using namepsace in the code snippets to save space

* format fix

---------
---
 .../terms/hash-function/hash-function.md      | 124 ++++++++++++++++++
 1 file changed, 124 insertions(+)
 create mode 100644 content/cpp/concepts/unordered-map/terms/hash-function/hash-function.md

diff --git a/content/cpp/concepts/unordered-map/terms/hash-function/hash-function.md b/content/cpp/concepts/unordered-map/terms/hash-function/hash-function.md
new file mode 100644
index 00000000000..b38ca37621b
--- /dev/null
+++ b/content/cpp/concepts/unordered-map/terms/hash-function/hash-function.md
@@ -0,0 +1,124 @@
+---
+Title: 'hash_function()'
+Description: 'Returns the hash function used internally by an unordered_map to map keys to buckets.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Hash Maps'
+  - 'STL'
+CatalogContent:
+  - 'learn-cpp'
+  - 'paths/computer-science'
+---
+
+The **`unordered_map::hash_function()`** method returns a function object the container uses to hash keys. This function determines which bucket an element will be placed in. By default, it uses `std::hash<Key>`, but it can be customized when the map is declared.
+
+## Syntax
+
+```pseudo
+unordered_mapName.hash_function();
+```
+
+**Parameters:**
+
+The `hash_function()` method takes no parameters.
+
+**Return value:**
+
+Returns the hash function used by the unordered_map. The return type is the function object used for hashing keys.
+
+## Example 1: Default hash function
+
+Get the hash value of a string key using the default hash function:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<string, int> myMap;
+  auto hashFunc = myMap.hash_function();
+
+  string key = "gfg";
+  cout << "Hash value of key '" << key << "' is: " << hashFunc(key) << endl;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Hash value of key 'gfg' is: 2677022477486138405
+```
+
+This example shows how the internal hash function can be used to compute a hash value for a given key.
+
+## Example 2: Comparing hash values of keys
+
+Check how different string keys are hashed:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<string, int> data;
+  auto hashFn = data.hash_function();
+
+  cout << "Hash for 'apple': " << hashFn("apple") << endl;
+  cout << "Hash for 'banana': " << hashFn("banana") << endl;
+  return 0;
+}
+```
+
+The output of the code is:
+
+```shell
+Hash for 'apple': 7562681486644061055
+Hash for 'banana': 680920345727384150
+```
+
+The hash function generates different values for different strings, helping distribute them across buckets.
+
+## Codebyte Example: Hashing integer keys
+
+Visualize how integer keys are hashed in a real-world lookup:
+
+```codebyte/cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<int, string> lookup;
+  lookup[101] = "Alice";
+  lookup[202] = "Bob";
+
+  auto h = lookup.hash_function();
+  cout << "Hash of 101: " << h(101) << "\n";
+  cout << "Hash of 202: " << h(202) << "\n";
+  return 0;
+}
+```
+
+The hash function often returns the value itself for integer keys, as integers map cleanly to buckets.
+
+## Frequently asked questions
+
+### 1. Can a custom hash function be used in unordered_map?
+
+Yes. A user-defined hash function can be passed as a template parameter when defining the map.
+
+### 2. Is hash_function() always std::hash?
+
+By default, yes. But if a custom hash is provided during map declaration, hash_function() returns that.
+
+### 3. When is hash_function() useful?
+
+When debugging or when needing to understand how keys are being distributed across buckets internally.

From 8dc83fd4112381964159697d1c8b25494dba13a2 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 6 Aug 2025 14:35:32 +0530
Subject: [PATCH 072/332] [Entry] C++ unordered map: max_load_factor() (#7389)

* [Entry] C++ unordered map: max_load_factor()

* Update max_load-factor.md

* Update max_load-factor.md

* Update max_load-factor.md

* format fix

* renamed the file names to fix error

---------
---
 .../terms/max-load-factor/max-load-factor.md  | 118 ++++++++++++++++++
 1 file changed, 118 insertions(+)
 create mode 100644 content/cpp/concepts/unordered-map/terms/max-load-factor/max-load-factor.md

diff --git a/content/cpp/concepts/unordered-map/terms/max-load-factor/max-load-factor.md b/content/cpp/concepts/unordered-map/terms/max-load-factor/max-load-factor.md
new file mode 100644
index 00000000000..d391e98e2ae
--- /dev/null
+++ b/content/cpp/concepts/unordered-map/terms/max-load-factor/max-load-factor.md
@@ -0,0 +1,118 @@
+---
+Title: 'max-load-factor()'
+Description: 'Gets or sets the maximum average number of elements per bucket before rehashing occurs in an unordered map.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Map'
+  - 'STL'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`unordered_map::max_load_factor`** function in C++ is used to get or set the maximum load factor of an `unordered_map`. The load factor represents the average number of elements per bucket (i.e., total elements divided by total buckets). By default, this value is set to `1.0`.
+
+## Syntax
+
+```cpp
+unordered_mapName.max_load_factor();  // Getter
+unordered_mapName.max_load_factor(value);  // Setter
+```
+
+**Parameters:**
+
+- `value` (optional): A `float` specifying the new maximum load factor. Must be greater than 0.
+
+**Return value:**
+
+Returns the current maximum load factor as a `float`.
+
+## Example 1: Getting the default load factor
+
+This example prints the default max load factor of an unordered map:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<int, int> myMap;
+  cout << "Default max load factor: " << myMap.max_load_factor() << endl;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Default max load factor: 1
+```
+
+This shows that the default load factor is typically `1.0`, meaning the map aims for one element per bucket.
+
+## Example 2: Setting a custom load factor to reduce rehashing
+
+This example increases the max load factor to reduce the frequency of rehashing during insertions:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<int, int> data;
+  data.max_load_factor(2.5);
+
+  cout << "New max load factor: " << data.max_load_factor() << endl;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+New max load factor: 2.5
+```
+
+Raising the load factor allows more elements per bucket, delaying rehashing and potentially improving insertion performance.
+
+## Codebyte Example: Lowering load factor to improve search speed
+
+This example sets a lower load factor to prioritize faster lookups in a time-critical application:
+
+```codebye/cpp
+#include <iostream>
+#include <unordered_map>
+
+using namespace std;
+
+int main() {
+  unordered_map<string, int> wordCount;
+  wordCount.max_load_factor(0.5);
+
+  wordCount["optimize"] = 1;
+  wordCount["speed"] = 2;
+
+  cout << "Load factor set for quick access: " << wordCount.max_load_factor() << endl;
+  return 0;
+}
+```
+
+## Frequently asked questions
+
+### 1. What is the default `max_load_factor` for an unordered_map?
+
+It's usually `1.0`, meaning one element per bucket on average before rehashing is triggered.
+
+### 2. Does increasing the load factor make the map faster?
+
+It can speed up insertions by reducing rehashes, but may slow down lookups due to more collisions.
+
+### 3. What happens if I set the load factor too low?
+
+The map will rehash more often, using more memory and slowing down insertions, but lookups may become faster.

From f8d0ac6b61eebb394c784f6efd141d15944cdd9c Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 6 Aug 2025 14:42:07 +0530
Subject: [PATCH 073/332] [Term Entry] JavaScript Number methods: .MIN_VALUE
 (#7388)

* [Term Entry] JavaScript Number methods: .MIN_VALUE

* Update MIN-VALUE.md

* minor change

* format fix

---------
---
 .../terms/MIN-VALUE/MIN-VALUE.md              | 97 +++++++++++++++++++
 1 file changed, 97 insertions(+)
 create mode 100644 content/javascript/concepts/number-methods/terms/MIN-VALUE/MIN-VALUE.md

diff --git a/content/javascript/concepts/number-methods/terms/MIN-VALUE/MIN-VALUE.md b/content/javascript/concepts/number-methods/terms/MIN-VALUE/MIN-VALUE.md
new file mode 100644
index 00000000000..b285658d422
--- /dev/null
+++ b/content/javascript/concepts/number-methods/terms/MIN-VALUE/MIN-VALUE.md
@@ -0,0 +1,97 @@
+---
+Title: '.MIN_VALUE'
+Description: 'Returns the smallest positive number representable in JavaScript, greater than 0.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Const'
+  - 'JavaScript'
+  - 'Numbers'
+CatalogContent:
+  - 'learn-javascript'
+  - 'paths/computer-science'
+---
+
+The `Number.MIN_VALUE` constant represents the smallest positive numeric value that can be represented in JavaScript, which is greater than `0` but very close to it.
+
+## Syntax
+
+```pseudo
+Number.MIN_VALUE
+```
+
+**Parameters:**
+
+None
+
+**Return value:**
+
+A number (`5e-324`) which is the smallest positive floating-point value representable in JavaScript.
+
+## Example 1: Comparing tiny numbers with `.MIN_VALUE`
+
+This example checks if a number is smaller than JavaScript's smallest positive value:
+
+```js
+const tiny = 1e-324;
+console.log(tiny < Number.MIN_VALUE);
+```
+
+The output of this code is:
+
+```shell
+true
+```
+
+This confirms that `1e-324` is smaller than `Number.MIN_VALUE`, meaning JavaScript treats it as effectively zero.
+
+## Example 2: Using `.MIN_VALUE` in scientific precision checks
+
+This example determines if a number is too small to be considered non-zero in physics simulations:
+
+```js
+function isEffectivelyZero(num) {
+  return Math.abs(num) < Number.MIN_VALUE;
+}
+
+console.log(isEffectivelyZero(1e-325));
+console.log(isEffectivelyZero(1e-320));
+```
+
+The output of this code is:
+
+```shell
+true
+false
+```
+
+The function detects when a value is smaller than what JavaScript can reliably represent as a non-zero number.
+
+## Codebyte Example: Handling rounding errors in financial apps with `.MIN_VALUE`
+
+This example uses `.MIN_VALUE` to ignore balances that are too tiny to count as real money:
+
+```js
+const balance = 0.0000000000000000000000001;
+
+if (balance < Number.MIN_VALUE) {
+  console.log('Balance is effectively zero');
+} else {
+  console.log('Balance is non-zero');
+}
+```
+
+## Frequently asked questions
+
+### 1. Is `Number.MIN_VALUE` negative?
+
+No. It is the smallest positive number JavaScript can represent. It is greater than 0.
+
+### 2. What's the difference between `Number.MIN_VALUE` and `Number.MIN_SAFE_INTEGER`?
+
+`MIN_VALUE` is the smallest positive float value (`5e-324`), while `MIN_SAFE_INTEGER` is the most negative integer that can be accurately represented.
+
+### 3. Why does dividing `Number.MIN_VALUE` sometimes return 0?
+
+When a value becomes smaller than what JavaScript can represent, it underflows to 0.

From ae04f6fa50b289abaf48172a74ee7fbf76361685 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 6 Aug 2025 14:50:27 +0530
Subject: [PATCH 074/332] [Entry] C++ Strings: erase() (#7351)

* [Entry] C++ Strings: erase()

* minor fix

* Update erase.md

* format fix

---------
---
 .../cpp/concepts/strings/terms/erase/erase.md | 168 ++++++++++++++++++
 1 file changed, 168 insertions(+)
 create mode 100644 content/cpp/concepts/strings/terms/erase/erase.md

diff --git a/content/cpp/concepts/strings/terms/erase/erase.md b/content/cpp/concepts/strings/terms/erase/erase.md
new file mode 100644
index 00000000000..bcc884a06fd
--- /dev/null
+++ b/content/cpp/concepts/strings/terms/erase/erase.md
@@ -0,0 +1,168 @@
+---
+Title: '.erase()'
+Description: 'Removes characters from a C++ string object.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Functions'
+  - 'Methods'
+  - 'Memory'
+  - 'Strings'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`.erase()`** method is a built-in member function of the C++ `string` class that removes characters from a string object. It provides several overloaded versions to delete specific characters, ranges of characters, or clear the entire string, effectively shortening the string's length and modifying the original string in place.
+
+## Syntax
+
+The `.erase()` method has three main overloads:
+
+```pseudo
+string.erase()
+string.erase(pos, len)
+string.erase(iterator)
+string.erase(first, last)
+```
+
+**Parameters:**
+
+- `pos`: Position (index) of the first character to be erased (0-based indexing)
+- `len`: Number of characters to erase from the starting position
+- `iterator`: Iterator pointing to the character to be removed
+- `first`: Iterator pointing to the first character in the range to be erased
+- `last`: Iterator pointing to one position past the last character in the range
+
+**Return value:**
+
+Returns an iterator pointing to the character that now occupies the position of the first erased character. If no characters remain after the erased portion, returns `string::end()`.
+
+## Example 1: Character Removal Using `.erase()`
+
+This example demonstrates removing a single character from a specific position in a string:
+
+```cpp
+#include <iostream>
+#include <string>
+
+using namespace std;
+
+int main() {
+  string text = "Hello World!";
+
+  // Remove the character at index 5 (space character)
+  text.erase(5, 1);
+
+  cout << text << endl;
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+HelloWorld!
+```
+
+The code removes one character starting at position 5, which eliminates the space between "Hello" and "World".
+
+## Example 2: Text Processing Application Using `.erase()`
+
+This example shows how `.erase()` can be used in a real-world text processing scenario to remove unwanted characters from user input:
+
+```cpp
+#include <iostream>
+#include <string>
+
+using namespace std;
+
+int main() {
+  string userInput = "user@email.com###";
+
+  // Find and remove trailing special characters
+  size_t hashPos = userInput.find('#');
+  if (hashPos != string::npos) {
+    // Erase everything from the first '#' to the end
+    userInput.erase(hashPos);
+  }
+
+  cout << "Cleaned email: " << userInput << endl;
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Cleaned email: user@email.com
+```
+
+This example demonstrates cleaning user input by removing unwanted trailing characters, which is common in data validation and preprocessing applications.
+
+## Codebyte Example: String Formatting Tool
+
+This example shows using `.erase()` with iterators to remove specific words from a sentence, useful for content filtering or text formatting applications:
+
+```codebyte/cpp
+#include <iostream>
+#include <string>
+
+using namespace std;
+
+int main() {
+  string sentence = "This is a very long sentence";
+
+  // Find the word "very " and remove it
+  size_t pos = sentence.find("very ");
+  if (pos != string::npos) {
+    // Remove "very " (5 characters including space)
+    sentence.erase(pos, 5);
+  }
+
+  cout << "Modified sentence: " << sentence << endl;
+
+  // Clear the entire string using erase()
+  sentence.erase();
+  cout << "String length after clearing: " << sentence.length() << endl;
+
+  return 0;
+}
+```
+
+This example shows both selective word removal and complete string clearing, demonstrating the versatility of `.erase()` in text manipulation applications.
+
+## Frequently Asked Questions
+
+### 1. How do I clear a string in C++?
+
+Use the `.erase()` method without any parameters to clear the entire string:
+
+```cpp
+string text = "Hello World";
+text.erase(); // Clears the entire string
+```
+
+Alternatively, you can use `.clear()` method which is more explicit for this purpose.
+
+### 2. How to erase space in string in C++?
+
+To remove all spaces from a string, you can use `.erase()` in combination with algorithms:
+
+```cpp
+#include <algorithm>
+#include <string>
+
+using namespace std;
+
+string text = "Hello World Example";
+text.erase(remove(text.begin(), text.end(), ' '), text.end());
+// Result: "HelloWorldExample"
+```
+
+### 3. What happens if I use an invalid index with `.erase()`?
+
+If you provide an index that exceeds the string length, `.erase()` throws a `out_of_range` exception. Always ensure the position is within valid bounds (0 to `string.length()-1`) before calling `.erase()`.

From fc69025253ac8a6a13249cde2e8b5fb8d4ac74b8 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 6 Aug 2025 14:52:36 +0530
Subject: [PATCH 075/332] [Term Entry] JavaScript Arrays: toLocaleString()
 (#7350)

---
 .../terms/toLocaleString/toLocaleString.md    | 138 ++++++++++++++++++
 1 file changed, 138 insertions(+)
 create mode 100644 content/javascript/concepts/arrays/terms/toLocaleString/toLocaleString.md

diff --git a/content/javascript/concepts/arrays/terms/toLocaleString/toLocaleString.md b/content/javascript/concepts/arrays/terms/toLocaleString/toLocaleString.md
new file mode 100644
index 00000000000..37d1cdd3cf2
--- /dev/null
+++ b/content/javascript/concepts/arrays/terms/toLocaleString/toLocaleString.md
@@ -0,0 +1,138 @@
+---
+Title: '.toLocaleString()'
+Description: 'Converts array elements to localized string representations and joins them with locale-specific separators.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arrays'
+  - 'Methods'
+  - 'Strings'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+JavaScript array's **`.toLocaleString()`** method converts the elements of an [array](https://www.codecademy.com/resources/docs/javascript/arrays) to localized [string](https://www.codecademy.com/resources/docs/javascript/strings) representations and joins them with a locale-specific separator. This method is particularly useful when working with arrays containing numbers, dates, or other values that need to be formatted according to specific regional conventions, making data more readable and culturally appropriate for different audiences.
+
+## Syntax
+
+```pseudo
+array.toLocaleString(locales, options)
+```
+
+**Parameters:**
+
+- `locales` (optional): A string with a BCP 47 language tag, or an array of such strings. Specifies the locale(s) to use for formatting. If not provided, the default locale of the host environment is used.
+- `options` (optional): An object with configuration properties that control how the conversion is performed. The available options depend on the type of elements being converted.
+
+**Return value:**
+
+Returns a string representing the elements of the array, with each element converted using its `toLocaleString()` method and joined by a locale-specific separator.
+
+## Example 1: Basic `.toLocaleString()` Usage
+
+This example demonstrates how `.toLocaleString()` converts array elements to their locale-specific string representations:
+
+```js
+// Create an array with different data types
+const mixedArray = [1000, new Date('2024-01-15'), 3.14159];
+
+// Convert to locale string using default locale
+const result = mixedArray.toLocaleString();
+console.log(result);
+```
+
+The output will vary based on the user's locale, but in a US English locale, it would produce something like:
+
+```shell
+1,000,1/15/2024, 12:00:00 AM,3.142
+```
+
+Each element is formatted according to the default locale rules, with numbers getting thousand separators, dates formatted in MM/DD/YYYY format, and decimal numbers rounded appropriately.
+
+## Example 2: Currency Formatting with `.toLocaleString()`
+
+This example shows how to format an array of prices using locale-specific currency formatting:
+
+```js
+// Array of product prices
+const prices = [29.99, 149.5, 5.25, 999.99];
+
+// Format as US currency
+const usPrices = prices
+  .map((price) =>
+    price.toLocaleString('en-US', {
+      style: 'currency',
+      currency: 'USD',
+    })
+  )
+  .join(', ');
+
+console.log('US Prices:', usPrices);
+
+// Format as European currency
+const euroPrices = prices.toLocaleString('de-DE', {
+  style: 'currency',
+  currency: 'EUR',
+});
+console.log('Euro Prices:', euroPrices);
+```
+
+This example results in the following output:
+
+```shell
+US Prices: $29.99, $149.50, $5.25, $999.99
+Euro Prices: 29,99 €, 149,50 €, 5,25 €, 999,99 €
+```
+
+The method automatically applies the appropriate currency symbols, decimal separators, and formatting conventions for each specified locale.
+
+## Codebyte Example: Date Internationalization with `.toLocaleString()`
+
+This example demonstrates formatting an array of dates for different regions and showing various date formatting options:
+
+```codebyte/javascript
+// Array of important dates
+const importantDates = [
+  new Date('2024-07-04'),
+  new Date('2024-12-25'),
+  new Date('2024-01-01')
+];
+
+// Format for US audience with full date names
+const usFormat = importantDates.map(date =>
+  date.toLocaleString('en-US', {
+    weekday: 'long',
+    year: 'numeric',
+    month: 'long',
+    day: 'numeric',
+  })
+).join(', ');
+
+console.log('US Format:', usFormat);
+
+// Format for Japanese audience
+const japanFormat = importantDates.toLocaleString('ja-JP', {
+  year: 'numeric',
+  month: 'short',
+  day: 'numeric'
+});
+console.log('Japan Format:', japanFormat);
+```
+
+The dates are formatted according to each locale's conventions, showing how the same data can be presented in culturally appropriate ways.
+
+## Frequently Asked Questions
+
+### 1. What is the basic purpose of the `.toLocaleString()`?
+
+The `.toLocaleString()` method formats array elements according to locale-specific conventions, making data more readable and culturally appropriate for users in different regions. It handles numbers, dates, and other values by applying regional formatting rules like currency symbols, date formats, and number separators.
+
+### 2. What is the difference between toString and toLocaleString in JavaScript?
+
+The `toString()` method converts array elements to strings using a standard format regardless of locale, while `toLocaleString()` applies locale-specific formatting rules. For example, `toString()` would display `1000` as "1000", but `toLocaleString()` might display it as "1,000" in English locales or "1.000" in German locales.
+
+### 3. Can `.toLocaleString()` handle sparse arrays with undefined elements?
+
+Yes, `.toLocaleString()` treats sparse arrays (arrays with gaps) by converting `undefined` and `null` elements to empty strings, but still includes separators for them.

From 00e7e6ad53236a0d32be299788436971182facac Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 6 Aug 2025 14:54:34 +0530
Subject: [PATCH 076/332] [Term Entry] JavaScript Arrays: from() (#7348)

---
 .../concepts/arrays/terms/from/from.md        | 112 ++++++++++++++++++
 1 file changed, 112 insertions(+)
 create mode 100644 content/javascript/concepts/arrays/terms/from/from.md

diff --git a/content/javascript/concepts/arrays/terms/from/from.md b/content/javascript/concepts/arrays/terms/from/from.md
new file mode 100644
index 00000000000..51a61ff652a
--- /dev/null
+++ b/content/javascript/concepts/arrays/terms/from/from.md
@@ -0,0 +1,112 @@
+---
+Title: '.from()'
+Description: 'Creates a new Array instance from an iterable or array-like object.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arrays'
+  - 'Functions'
+  - 'JavaScript'
+  - 'Methods'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`Array.from()`** static method creates a new `Array` instance from an iterable or array-like object. It provides a convenient way to convert various data structures into arrays, making them easier to work with using array methods.
+
+## Syntax
+
+```pseudo
+Array.from(arrayLike, mapFn, thisArg)
+```
+
+**Parameters:**
+
+- `arrayLike`: An iterable or array-like object to convert to an array
+- `mapFn` (optional): A function to call on every element of the array being created
+- `thisArg` (optional): Value to use as `this` when executing `mapFn`
+
+**Return value:**
+
+The `Array.from()` method returns a new Array instance.
+
+## Example 1: Basic Array Creation Using `Array.from()`
+
+This example demonstrates the fundamental usage of `Array.from()` to create an array from a string:
+
+```js
+// Convert string to array of characters
+const text = 'hello';
+const charArray = Array.from(text);
+
+console.log(charArray);
+```
+
+The output of this code is:
+
+```shell
+['h', 'e', 'l', 'l', 'o']
+```
+
+The `Array.from()` method treats the string as an iterable object, creating a new array where each character becomes an individual element.
+
+## Example 2: Using `Array.from()` to Convert Set to Array
+
+This example shows how to convert a Set data structure to an array, which is useful when there is a need to use array methods on unique values:
+
+```js
+// Create a Set with unique values
+const uniqueNumbers = new Set([1, 2, 2, 3, 3, 4]);
+
+// Convert Set to array
+const numberArray = Array.from(uniqueNumbers);
+
+console.log(numberArray);
+
+// Use array methods
+const doubled = numberArray.map((num) => num * 2);
+console.log(doubled);
+```
+
+The output of this code is:
+
+```shell
+[1, 2, 3, 4]
+[2, 4, 6, 8]
+```
+
+This approach is particularly valuable when working with data that needs to maintain uniqueness during processing but requires array functionality for further manipulation.
+
+## Codebyte Example: Array Creation with Mapping
+
+This example demonstrates using the optional mapping function parameter to transform elements during array creation:
+
+```codebyte/javascript
+// Create an array of numbers and square them simultaneously
+const numbers = [1, 2, 3, 4, 5];
+const squaredNumbers = Array.from(numbers, x => x * x);
+
+console.log(squaredNumbers);
+
+// Generate a sequence of numbers from 0 to 4
+const sequence = Array.from({length: 5}, (_, index) => index);
+console.log(sequence);
+```
+
+The mapping function provides an efficient way to create and transform arrays in a single operation, eliminating the need for separate `map()` calls.
+
+## Frequently Asked Questions
+
+### 1. How to get array from set in JS?
+
+Use `Array.from(yourSet)` to convert a Set to an array. For example: `const array = Array.from(new Set([1, 2, 3]));` This creates `[1, 2, 3]`.
+
+### 2. What is the difference between `Array.from()` and the spread operator?
+
+While both can convert iterables to arrays, `Array.from()` offers additional functionality with its optional mapping function parameter, allowing transformation during conversion. The spread operator `[...iterable]` only converts without transformation.
+
+### 3. Can `Array.from()` work with array-like objects?
+
+Yes, `Array.from()` works with both iterable objects (like Sets, Maps, strings) and array-like objects (like NodeList, arguments object). It creates a shallow copy and converts them to proper arrays with all array methods available.

From 8d544a8aa44c3c160216c79198c5a58eab3177fd Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 6 Aug 2025 14:56:23 +0530
Subject: [PATCH 077/332] [Term Entry] JavaScript Arrays: fill() (#7347)

---
 .../concepts/arrays/terms/fill/fill.md        | 123 ++++++++++++++++++
 1 file changed, 123 insertions(+)
 create mode 100644 content/javascript/concepts/arrays/terms/fill/fill.md

diff --git a/content/javascript/concepts/arrays/terms/fill/fill.md b/content/javascript/concepts/arrays/terms/fill/fill.md
new file mode 100644
index 00000000000..762fea32211
--- /dev/null
+++ b/content/javascript/concepts/arrays/terms/fill/fill.md
@@ -0,0 +1,123 @@
+---
+Title: '.fill()'
+Description: 'Changes all elements within a range of indices in an array to a static value.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arrays'
+  - 'JavaScript'
+  - 'Methods'
+  - 'Range'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+JavaScript's **`array.fill()`** method changes all elements within a range of indices in an [array](https://www.codecademy.com/resources/docs/javascript/arrays) to a static value. It modifies the original array and returns the modified array, making it a mutating method that provides an efficient way to populate array elements with the same value.
+
+## Syntax
+
+```pseudo
+array.fill(value, start, end)
+```
+
+**Parameters:**
+
+- `value`: The value to fill the array elements with. All elements in the specified range will be set to this exact value.
+- `start` (optional): The zero-based index at which to start filling. If negative, it is treated as `array.length + start`. Defaults to `0`.
+- `end` (optional): The zero-based index at which to end filling (exclusive). If negative, it is treated as `array.length + end`. Defaults to `array.length`.
+
+**Return value:**
+
+The `.fill()` method returns the modified array with elements filled according to the specified parameters.
+
+## Example 1: Basic Array Filling Using `array.fill()`
+
+This example demonstrates the fundamental usage of the `.fill()` method by replacing all elements in an array with a single value:
+
+```js
+// Create an array with different values
+const numbers = [1, 2, 3, 4, 5];
+
+// Fill all elements with the value 0
+numbers.fill(0);
+
+console.log(numbers);
+```
+
+The output of this code is:
+
+```shell
+[0, 0, 0, 0, 0]
+```
+
+The `.fill()` method replaces every element in the array with the specified value, transforming the original array `[1, 2, 3, 4, 5]` into `[0, 0, 0, 0, 0]`.
+
+## Example 2: Creating Default User Profiles Using `array.fill()`
+
+This example shows how `.fill()` can be used in a real-world scenario to initialize an array of user profile objects with default values:
+
+```js
+// Create an array to hold 3 user profiles
+const userProfiles = new Array(3);
+
+// Fill with default user profile objects
+userProfiles.fill({
+  name: 'New User',
+  email: 'user@example.com',
+  status: 'inactive',
+});
+
+// Update one user's information
+userProfiles[0].name = 'John Doe';
+userProfiles[0].email = 'john@example.com';
+
+console.log(userProfiles);
+```
+
+The output of this code is:
+
+```shell
+[
+  { name: 'John Doe', email: 'john@example.com', status: 'inactive' },
+  { name: 'John Doe', email: 'john@example.com', status: 'inactive' },
+  { name: 'John Doe', email: 'john@example.com', status: 'inactive' }
+]
+```
+
+When using objects with `.fill()`, all array elements reference the same object. Modifying one element affects all elements because they share the same reference.
+
+## Codebyte Example: Using `array.fill()` to Initialize Game Board Sections
+
+This example demonstrates using `.fill()` with start and end parameters to initialize specific sections of a game board array:
+
+```codebyte/javascript
+// Create a game board with 10 positions
+const gameBoard = new Array(10).fill('empty');
+
+// Fill positions 2-5 with player pieces
+gameBoard.fill('player1', 2, 6);
+
+// Fill positions 7-8 with obstacles
+gameBoard.fill('obstacle', 7, 9);
+
+console.log(gameBoard);
+console.log(`Board length: ${gameBoard.length}`);
+```
+
+By specifying start and end indices, the `.fill()` method allows precise control over which elements to modify, making it ideal for initializing specific ranges within larger data structures.
+
+## Frequently Asked Questions
+
+### 1. How to fill an array in JS?
+
+Use the `.fill()` method on an existing array: `array.fill(value)`. For new arrays, create them first with `new Array(length)` or `Array(length)`, then apply `.fill()`: `new Array(5).fill('default')`.
+
+### 2. How to fill array with unique values in JavaScript?
+
+The `.fill()` method creates identical values, not unique ones. For unique values, use `Array.from()` with a mapping function: `Array.from({length: 5}, (_, index) => index + 1)` creates `[1, 2, 3, 4, 5]`.
+
+### 3. Does .fill() change the original array?
+
+Yes, `.fill()` is a mutating method that modifies the original array directly. If you need to preserve the original array, create a copy first using `[...array].fill(value)` or `Array.from(array).fill(value)`.

From c21fdb4d14a19aeb57e289f3d2e02e6759786e6b Mon Sep 17 00:00:00 2001
From: Mohit5Upadhyay <129863157+Mohit5Upadhyay@users.noreply.github.com>
Date: Wed, 6 Aug 2025 16:10:58 +0530
Subject: [PATCH 078/332] entry-docs: add logical operators documentation for
 C++ (#7182)

* docs: add logical operators documentation for C++

* updated content

* Update logical-operators.md

* format fixes

---------
---
 .../logical-operators/logical-operators.md    | 190 ++++++++++++++++++
 1 file changed, 190 insertions(+)
 create mode 100644 content/cpp/concepts/operators/terms/logical-operators/logical-operators.md

diff --git a/content/cpp/concepts/operators/terms/logical-operators/logical-operators.md b/content/cpp/concepts/operators/terms/logical-operators/logical-operators.md
new file mode 100644
index 00000000000..f97de9aa467
--- /dev/null
+++ b/content/cpp/concepts/operators/terms/logical-operators/logical-operators.md
@@ -0,0 +1,190 @@
+---
+Title: 'Logical Operators'
+Description: 'Logical operators perform logical operations such as AND, OR, and NOT to combine or modify boolean expressions in C++.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Logic'
+  - 'Operators'
+  - 'Boolean'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+**Logical operators** in C++ are used to perform logical operations on boolean expressions or values that can be evaluated as true or false. These [operators](https://www.codecademy.com/resources/docs/cpp/operators) are essential for creating complex conditional statements, controlling program flow, and implementing decision-making logic in applications. There are 3 logical operators in C++:
+
+- Logical AND (`&&`)
+- Logical OR (`||`)
+- Logical NOT (`!`)
+
+## Logical AND (`&&`)
+
+The logical AND operator `&&` returns true only when both operands are true. It uses short-circuit evaluation, meaning if the first operand is false, the second operand is not evaluated.
+
+### Syntax of `&&`
+
+```pseudo
+expression1 && expression2
+```
+
+Here:
+
+- `expression1` and `expression2` are boolean expressions or values that evaluate to true or false
+
+### Example of Logical AND (`&&`) Operator
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int age = 25;
+  bool hasLicense = true;
+
+  // Check if person can drive
+  if (age >= 18 && hasLicense) {
+    cout << "Person can drive legally." << endl;
+  } else {
+    cout << "Person cannot drive legally." << endl;
+  }
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Person can drive legally.
+```
+
+## Logical OR (`||`)
+
+The logical OR operator `||` returns true if at least one of the operands is true. It also uses short-circuit evaluation, meaning if the first operand is true, the second operand is not evaluated.
+
+### Syntax of `||`
+
+```pseudo
+expression1 || expression2
+```
+
+### Example of Logical OR (`||`) Operator
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int day = 6; // Saturday
+  bool isHoliday = false;
+
+  // Check if it's a weekend or holiday
+  if (day == 6 || day == 7 || isHoliday) {
+    cout << "No work today!" << endl;
+  } else {
+    cout << "Work day." << endl;
+  }
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+No work today!
+```
+
+## Logical NOT (`!`)
+
+The logical NOT operator `!` reverses the boolean value of its operand. If the operand is true, it returns false, and vice versa.
+
+### Syntax of `!`
+
+```pseudo
+!expression1
+```
+
+### Example of Logical NOT (`!`) Operator
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  bool isRaining = false;
+
+  if (!isRaining) {
+    cout << "Perfect weather for a walk!" << endl;
+  } else {
+    cout << "Better stay inside." << endl;
+  }
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Perfect weather for a walk!
+```
+
+## Codebyte Example
+
+The following Codebyte demonstrates how logical operators are used in a real-world scenario such as verifying login credentials:
+
+```codebyte/cpp
+#include <iostream>
+#include <string>
+using namespace std;
+
+int main() {
+  string username = "admin";
+  string password = "secure123";
+  bool isActive = true;
+  int loginAttempts = 2;
+  int maxAttempts = 3;
+
+  // Input credentials
+  string inputUser = "admin";
+  string inputPass = "secure123";
+
+  // Check authentication using logical operators
+  bool validCredentials = (inputUser == username) && (inputPass == password);
+  bool accountAccessible = isActive && (loginAttempts < maxAttempts);
+  bool canLogin = validCredentials && accountAccessible;
+
+  cout << "Authentication Results:" << endl;
+  cout << "Valid credentials: " << (validCredentials ? "Yes" : "No") << endl;
+  cout << "Account accessible: " << (accountAccessible ? "Yes" : "No") << endl;
+  cout << "Login successful: " << (canLogin ? "Yes" : "No") << endl;
+
+  // Demonstrate NOT operator
+  if (!canLogin) {
+    cout << "Access denied!" << endl;
+  } else {
+    cout << "Welcome to the system!" << endl;
+  }
+
+  // Demonstrate OR operator for error handling
+  if (!validCredentials || !accountAccessible) {
+    cout << "Login failed due to: ";
+    if (!validCredentials) cout << "Invalid credentials ";
+    if (!accountAccessible) cout << "Account issues ";
+      cout << endl;
+  }
+
+  return 0;
+}
+```
+
+The following table summarizes the three logical operators in C++:
+
+| Symbol | Name        | Description                                       | Implementation Example |
+| ------ | ----------- | ------------------------------------------------- | ---------------------- |
+| `&&`   | Logical AND | Returns true if both operands are true            | `a && b`               |
+| `\|\|` | Logical OR  | Returns true if at least one operand is true      | `a \|\| b`             |
+| `!`    | Logical NOT | Returns the opposite boolean value of the operand | `!a`                   |

From 188d3cf8765c86ddb2f603d612bdf7924a751bf9 Mon Sep 17 00:00:00 2001
From: Lari Raupp <larissadaitxraupp@gmail.com>
Date: Wed, 6 Aug 2025 07:47:10 -0300
Subject: [PATCH 079/332] Add entry for JavaScript Array.prototype.entries()
 (#7115)

* Add entry for JavaScript Array.prototype.entries()

* content fixes

* Update entries.md

---------
---
 .../concepts/arrays/terms/entries/entries.md  | 64 +++++++++++++++++++
 1 file changed, 64 insertions(+)
 create mode 100644 content/javascript/concepts/arrays/terms/entries/entries.md

diff --git a/content/javascript/concepts/arrays/terms/entries/entries.md b/content/javascript/concepts/arrays/terms/entries/entries.md
new file mode 100644
index 00000000000..8794715f38b
--- /dev/null
+++ b/content/javascript/concepts/arrays/terms/entries/entries.md
@@ -0,0 +1,64 @@
+---
+Title: '.entries()'
+Description: 'Returns an iterator with key/value pairs for each index in the array.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arrays'
+  - 'Iterators'
+  - 'JavaScript'
+CatalogContent:
+  - 'learn-javascript'
+  - 'paths/web-development'
+---
+
+The **`entries()`** method returns a new array iterator object that contains key/value pairs for each index in the array. This is useful when both the index and value of array elements are needed during iteration.
+
+## Syntax
+
+```pseudo
+array.entries()
+```
+
+**Parameters:**
+
+The `entries()` method does not take any parameters.
+
+**Return value:**
+
+A new `Array Iterator` object containing `[index, value]` pairs
+
+## Example
+
+In this example the `.entries()` method is used to iterate over an array of cat names, accessing both the index and value in each loop:
+
+```js
+const cats = ['Peche', 'Moana', 'Pintassilga'];
+const iterator = cats.entries();
+
+for (let [index, name] of iterator) {
+  console.log(`Cat #${index}: ${name}`);
+}
+```
+
+The output of this code is:
+
+```shell
+Cat #0: Peche
+Cat #1: Moana
+Cat #2: Pintassilga
+```
+
+## Codebyte Example
+
+In this example the loop prints each index and corresponding fruit name by iterating through the key/value pairs returned by `.entries()`:
+
+```codebyte/javascript
+const fruits = ['apple', 'banana', 'cherry'];
+const iterator = fruits.entries();
+
+for (let [index, fruit] of iterator) {
+  console.log(index, fruit);
+}
+```

From 370723fabebd14dc1643284d2bbd00fef806edc2 Mon Sep 17 00:00:00 2001
From: anuj upadhyay <131153761+anuj123upadhyay@users.noreply.github.com>
Date: Thu, 7 Aug 2025 10:40:56 +0530
Subject: [PATCH 080/332] [Term Entry] Java Queue: .element()

* New Entry : java queue element() method term entry

* minor fixes

* Minor changes

---------
---
 .../concepts/queue/terms/element/element.md   | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/element/element.md

diff --git a/content/java/concepts/queue/terms/element/element.md b/content/java/concepts/queue/terms/element/element.md
new file mode 100644
index 00000000000..b0d56091e6e
--- /dev/null
+++ b/content/java/concepts/queue/terms/element/element.md
@@ -0,0 +1,81 @@
+---
+Title: '.element()'
+Description: 'Returns the head of the queue without removing it.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Methods'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+In Java, the **`.element()`** method of the `Queue` interface retrieves, but does not remove, the head of the queue. Unlike `.peek()`, which returns null if the queue is empty, `.element()` throws a `NoSuchElementException` in such cases. This method provides a way to inspect the next element to be removed without modifying the queue's structure.
+
+## Syntax
+
+```pseudo
+queueName.element()
+```
+
+**Parameters:**
+
+The `.element()` method does not take any parameters.
+
+**Return value:**
+
+- Returns the head element of the queue.
+- Throws `NoSuchElementException` if the queue is empty.
+
+## Example
+
+This example demonstrates the `.element()` method with a `LinkedList` implementation of `Queue`:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+import java.util.NoSuchElementException;
+
+
+public class Main {
+  public static void main(String[] args) {
+    Queue<String> animals = new LinkedList<String>();
+
+      // Add elements to the queue
+      animals.offer("Dog");
+      animals.offer("Cat");
+      animals.offer("Bird");
+
+      // Use .element() to peek at the head without removing it
+      System.out.println("Head element: " + animals.element());
+      System.out.println("Queue after element(): " + animals);
+
+      // Remove elements and check head
+      animals.poll();
+      System.out.println("Head after poll: " + animals.element());
+
+      // Clear the queue
+      animals.clear();
+
+      // Attempting to use .element() on empty queue throws exception
+      try {
+        animals.element();
+      } catch (NoSuchElementException e) {
+        System.out.println("Exception: Queue is empty!");
+    }
+  }
+}
+```
+
+Here is the output:
+
+```shell
+Head element: Dog
+Queue after element(): [Dog, Cat, Bird]
+Head after poll: Cat
+Exception: Queue is empty!
+```

From 6a7b494e76a9d5dec487ce8379a172cd1317dc50 Mon Sep 17 00:00:00 2001
From: Priyesh Chaudhari <135727523+Priyesh1311421@users.noreply.github.com>
Date: Thu, 7 Aug 2025 10:49:06 +0530
Subject: [PATCH 081/332] [Term Entry] Java Queue: .isEmpty()

* [Term Entry] Java Queue: isEmpty()

* [Term Entry] Java Queue: isEmpty() #7369

* minor content fixes

* Update isEmpty.md

---------
---
 .../concepts/queue/terms/isEmpty/isEmpty.md   | 140 ++++++++++++++++++
 1 file changed, 140 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/isEmpty/isEmpty.md

diff --git a/content/java/concepts/queue/terms/isEmpty/isEmpty.md b/content/java/concepts/queue/terms/isEmpty/isEmpty.md
new file mode 100644
index 00000000000..205c04f3cb9
--- /dev/null
+++ b/content/java/concepts/queue/terms/isEmpty/isEmpty.md
@@ -0,0 +1,140 @@
+---
+Title: '.isEmpty()'
+Description: 'Returns true if the queue contains no elements, false otherwise.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Methods'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+The **`.isEmpty()`** method is an inbuilt method of the `Queue` interface in Java that returns `true` if the queue contains no elements, and `false` otherwise. It is inherited from the [`Collection`](https://www.codecademy.com/resources/docs/java/collection) interface and provides a convenient way to check if a queue is empty before performing operations that require elements. The method has O(1) time complexity in most implementations, making it an efficient way to validate queue state.
+
+## Syntax
+
+```pseudo
+queueName.isEmpty()
+```
+
+**Parameters:**
+
+- The `.isEmpty()` method does not accept any parameters.
+
+**Return value:**
+
+The `.isEmpty()` method returns a `boolean` value:
+
+- `true` if the queue contains no elements
+- `false` if the queue contains one or more elements
+
+## Example 1: Basic Usage of `.isEmpty()`
+
+In this example, `.isEmpty()` is used to check if a queue is empty before and after adding elements:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+
+public class Main {
+  public static void main(String[] args) {
+    Queue<String> queue = new LinkedList<String>();
+
+    // Check if queue is empty initially
+    System.out.println("Is queue empty? " + queue.isEmpty());
+    System.out.println("Queue contents: " + queue);
+
+    // Add elements to the queue
+    queue.offer("First");
+    queue.offer("Second");
+    queue.offer("Third");
+
+    // Check if queue is empty after adding elements
+    System.out.println("Is queue empty after adding elements? " + queue.isEmpty());
+    System.out.println("Queue contents: " + queue);
+    System.out.println("Queue size: " + queue.size());
+
+    // Remove all elements
+    queue.poll();
+    queue.poll();
+    queue.poll();
+
+    // Check if queue is empty after removing all elements
+    System.out.println("Is queue empty after removing all elements? " + queue.isEmpty());
+    System.out.println("Queue contents: " + queue);
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Is queue empty? true
+Queue contents: []
+Is queue empty after adding elements? false
+Queue contents: [First, Second, Third]
+Queue size: 3
+Is queue empty after removing all elements? true
+Queue contents: []
+```
+
+## Example 2: Using `.isEmpty()` in a Loop
+
+This example demonstrates how `.isEmpty()` can be used to safely process all elements in a queue:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+
+public class Main {
+  public static void main(String[] args) {
+    Queue<Integer> numbers = new LinkedList<Integer>();
+
+    // Add some numbers to the queue
+    numbers.offer(10);
+    numbers.offer(20);
+    numbers.offer(30);
+    numbers.offer(40);
+    numbers.offer(50);
+
+    System.out.println("Initial queue: " + numbers);
+    System.out.println("Processing all elements in the queue:");
+
+    int elementCount = 0;
+    // Process all elements until queue is empty
+    while (!numbers.isEmpty()) {
+      Integer number = numbers.poll();
+      elementCount++;
+      System.out.println("Processing element #" + elementCount + ": " + number);
+      System.out.println("Remaining elements: " + numbers.size());
+    }
+
+    System.out.println("Queue is now empty: " + numbers.isEmpty());
+    System.out.println("Total elements processed: " + elementCount);
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Initial queue: [10, 20, 30, 40, 50]
+Processing all elements in the queue:
+Processing element #1: 10
+Remaining elements: 4
+Processing element #2: 20
+Remaining elements: 3
+Processing element #3: 30
+Remaining elements: 2
+Processing element #4: 40
+Remaining elements: 1
+Processing element #5: 50
+Remaining elements: 0
+Queue is now empty: true
+Total elements processed: 5
+```

From dedf7e24fac2df7ac1667d7c34fa5348a6dc29ee Mon Sep 17 00:00:00 2001
From: Diego Montenegro <117770993+DianTeTo@users.noreply.github.com>
Date: Thu, 7 Aug 2025 00:34:04 -0500
Subject: [PATCH 082/332] [Term Entry] JavaScript Strings: .normalize()

* creat folder normalize and file normalize.md with all information about it

* minor content fixes

* Update normalize.md

* Minor changes

---------
---
 .../strings/terms/normalize/normalize.md      | 65 +++++++++++++++++++
 1 file changed, 65 insertions(+)
 create mode 100644 content/javascript/concepts/strings/terms/normalize/normalize.md

diff --git a/content/javascript/concepts/strings/terms/normalize/normalize.md b/content/javascript/concepts/strings/terms/normalize/normalize.md
new file mode 100644
index 00000000000..280bfc95105
--- /dev/null
+++ b/content/javascript/concepts/strings/terms/normalize/normalize.md
@@ -0,0 +1,65 @@
+---
+Title: '.normalize()'
+Description: 'Returns the Unicode Normalization Form of a string.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'JavaScript'
+  - 'Methods'
+  - 'String'
+  - 'Unicode'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.normalize()`** method in JavaScript returns the Unicode Normalization Form of a string. This is especially useful when comparing strings that may look identical but are composed of different Unicode code points.
+
+## Syntax
+
+```pseudo
+string.normalize([form])
+```
+
+**Parameters:**
+
+- `form` (Optional): A string specifying the Unicode normalization form. Valid values are:
+  - `'NFC'` (Default): Canonical Composition
+  - `'NFD'`: Canonical Decomposition
+  - `'NFKC'`: Compatibility Composition
+  - `'NFKD'`: Compatibility Decomposition
+
+**Return value:**
+
+A new string in the specified normalization form.
+
+## Example: Comparing Unicode Representations
+
+In this example, two visually identical strings have different Unicode encodings, and `.normalize()` is used to make them comparable:
+
+```js
+const word1 = '\u00e9'; // é as single character
+const word2 = '\u0065\u0301'; // e + ́ (combining acute)
+
+console.log(word1 === word2);
+console.log(word1.normalize() === word2.normalize());
+```
+
+The output of this code is:
+
+```shell
+false
+true
+```
+
+## Codebyte Example: Stripping Accents Using Normalize + Regex
+
+In this codebyte example, `.normalize()` is combined with a regular expression to strip accents by removing Unicode diacritical marks:
+
+```codebyte/javascript
+const word = 'café';
+const stripped = word.normalize('NFD').replace(/[\u0300-\u036f]/g, '');
+
+console.log(stripped);
+```

From bd905f87ac4e31625a22dbe05c53fcbc5c86a790 Mon Sep 17 00:00:00 2001
From: Jonathan Hill <jonathan@jh.codes>
Date: Thu, 7 Aug 2025 00:52:19 -0700
Subject: [PATCH 083/332] Fix typo in JavaScript Optional Chaining doc (#7412)

---
 .../javascript/concepts/optional-chaining/optional-chaining.md  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/javascript/concepts/optional-chaining/optional-chaining.md b/content/javascript/concepts/optional-chaining/optional-chaining.md
index 72ee9a2811e..6981c9afa67 100644
--- a/content/javascript/concepts/optional-chaining/optional-chaining.md
+++ b/content/javascript/concepts/optional-chaining/optional-chaining.md
@@ -14,7 +14,7 @@ CatalogContent:
 
 The **optional chaining** (**`?.`**) operator simplifies comparing multiple data properties in a chain of connected objects. This is especially valuable if any of the properties are `null`, as the operator will return `undefined` instead of throwing an error.
 
-Optional chaning can be used to validate nested object properties, call optional functions or methods on optional objects, accessing array elements, and more.
+Optional chaining can be used to validate nested object properties, call optional functions or methods on optional objects, accessing array elements, and more.
 
 The primary benefits of using optional chaining instead of regular syntax include simplifying the code to achieve the same result, making it easier to read, protecting against runtime errors, and enhancing maintainability.
 

From 8c4a21cda0199a3e1a642e1a70814a966292df57 Mon Sep 17 00:00:00 2001
From: Peter Toth <ptothhu@yahoo.com>
Date: Fri, 8 Aug 2025 10:26:14 +0200
Subject: [PATCH 084/332] [Term Entry] JavaScript Number Methods:
 .MIN_SAFE_INTEGER

* This is the first draft for Number.MIN_SAFE_INTEGER

* minor fixes

* Update MIN-SAFE-INTEGER.md

---------
---
 .../MIN-SAFE-INTEGER/MIN-SAFE-INTEGER.md      | 73 +++++++++++++++++++
 1 file changed, 73 insertions(+)
 create mode 100644 content/javascript/concepts/number-methods/terms/MIN-SAFE-INTEGER/MIN-SAFE-INTEGER.md

diff --git a/content/javascript/concepts/number-methods/terms/MIN-SAFE-INTEGER/MIN-SAFE-INTEGER.md b/content/javascript/concepts/number-methods/terms/MIN-SAFE-INTEGER/MIN-SAFE-INTEGER.md
new file mode 100644
index 00000000000..c86ed82457e
--- /dev/null
+++ b/content/javascript/concepts/number-methods/terms/MIN-SAFE-INTEGER/MIN-SAFE-INTEGER.md
@@ -0,0 +1,73 @@
+---
+Title: '.MIN_SAFE_INTEGER'
+Description: 'Represents the smallest safe integer in JavaScript, below which integer precision is not guaranteed.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Integers'
+  - 'JavaScript'
+  - 'Numbers'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+In JavaScript, the **`.MIN_SAFE_INTEGER`** property is a static constant that represents the smallest safe integer in JavaScript: `-(2^53 - 1)` or `-9007199254740991`. JavaScript uses the IEEE-754 double-precision format for all numbers, meaning not all integers can be represented exactly. A safe integer is one that:
+
+- Can be precisely represented
+- Doesn’t lose precision during arithmetic
+- Can be accurately compared
+
+Since JavaScript is dynamically typed, all numbers fall under the `Number` type and are treated as floating-point values. `.MIN_SAFE_INTEGER` isn’t tied to any variable as it’s accessed directly via `.MIN_SAFE_INTEGER`. Values smaller than this limit may suffer from rounding errors or incorrect comparisons due to floating-point precision limits.
+
+## Syntax
+
+```pseudo
+Number.MIN_SAFE_INTEGER
+```
+
+**Parameters:**
+
+`.MIN_SAFE_INTEGER` is a static property of the Number object. It's accessed directly without calling a function or passing arguments.
+
+**Return value:**
+
+It returns a number: `-9007199254740991`. This is the smallest integer JavaScript can represent safely without precision loss using the `Number` type (IEEE-754 double-precision).
+
+## Example
+
+In this example, subtracting beyond the minimum safe integer leads to precision loss, causing distinct values to compare as equal:
+
+```js
+console.log(Number.MIN_SAFE_INTEGER);
+
+const a = Number.MIN_SAFE_INTEGER - 1;
+const b = Number.MIN_SAFE_INTEGER - 2;
+
+console.log(a === b);
+```
+
+The output of this code is:
+
+```shell
+-9007199254740991
+true
+```
+
+This demonstrates what happens when values go below the minimum safe integer. Although `a` and `b` should be distinct (`-9007199254740992` and `-9007199254740993`), both are stored as the same value due to floating-point precision limits. So, `a === b` returns `true`, even though they are not mathematically equal.
+
+## Codebyte Example
+
+In this codebyte example, `.isSafeInteger()` is used to check if a value just below the minimum safe integer is still considered safe:
+
+```codebyte/javascript
+console.log("Minimum safe integer in JavaScript:");
+console.log(Number.MIN_SAFE_INTEGER);
+
+const unsafeValue = Number.MIN_SAFE_INTEGER - 1;
+console.log("Unsafe value:", unsafeValue);
+
+console.log("Is unsafeValue a safe integer?");
+console.log(Number.isSafeInteger(unsafeValue));
+```

From 68f0571390fb0688dfded9873e6248a6f473d343 Mon Sep 17 00:00:00 2001
From: Atul Deshpande <159980686+AtulDeshpande09@users.noreply.github.com>
Date: Fri, 8 Aug 2025 14:03:07 +0530
Subject: [PATCH 085/332] [Term Entry] PyTorch Tensor Operations: .erfinv()

* Create erfinv.md

* Update erfinv.md

* minor fixes

* Update erfinv.md

* Update erfinv.md

* Update erfinv.md

---------
---
 .../tensor-operations/terms/erfinv/erfinv.md  | 59 +++++++++++++++++++
 1 file changed, 59 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/erfinv/erfinv.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/erfinv/erfinv.md b/content/pytorch/concepts/tensor-operations/terms/erfinv/erfinv.md
new file mode 100644
index 00000000000..5a6c8150582
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/erfinv/erfinv.md
@@ -0,0 +1,59 @@
+---
+Title: '.erfinv()'
+Description: 'Computes the inverse error function of input.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.erfinv()`** function returns the inverse error function of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). The inverse error function in the range (−1,1) is: $$erfinv(erf(x))=x$$.
+
+## Syntax
+
+```pseudo
+torch.erfinv(input, *, out=None) → Tensor
+```
+
+Or,
+
+```pseudo
+torch.special.erfinv(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: A tensor containing values in the range (-1, 1).
+- `out` (Optional): A tensor to store the output. If provided, the result is written to this tensor.
+
+**Return value:**
+
+It returns a new tensor of the same shape as the input, containing the computed inverse error function values for each corresponding element.
+
+## Example
+
+In this example, the inverse error function values of each tensor is computed using `.erfinv()`:
+
+```py
+import torch
+
+# Define a tensor
+x = torch.tensor([0, 0.5, -1.])
+
+result = torch.erfinv(torch.tensor(x))
+
+print(result)
+```
+
+Here is the output:
+
+```shell
+tensor([ 0.0000,  0.4769,    -inf])
+```

From 40f8f4fefd475716e6c7bb9387a451f887707341 Mon Sep 17 00:00:00 2001
From: Atul Deshpande <159980686+AtulDeshpande09@users.noreply.github.com>
Date: Fri, 8 Aug 2025 14:08:42 +0530
Subject: [PATCH 086/332] [Term Entry] PyTorch Tensor Operations: .erfc()

* Create erfc.md

* Update erfc.md

* Update erfc.md

* Update erfc.md

---------
---
 .../tensor-operations/terms/erfc/erfc.md      | 61 +++++++++++++++++++
 1 file changed, 61 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
new file mode 100644
index 00000000000..44c64281f32
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/erfc/erfc.md
@@ -0,0 +1,61 @@
+---
+Title: '.erfc()'
+Description: 'Computes the complementary error function of input.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.erfc()`** function returns the complementary error function of of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). The complementary error function is written as:
+
+$$erfc(x)= 1 - \frac{2}{\sqrt{\pi}}\int_0^1 e^{-t^2} dt$$
+
+## Syntax
+
+```pseudo
+torch.erfc(input, *, out=None) → Tensor
+```
+
+Or,
+
+```pseudo
+torch.special.erfc(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor.
+- `out` (Optional): A tensor to store the output. If provided, the result is written to this tensor.
+
+**Return value:**
+
+It returns a new tensor of the same shape as the input, containing the computed complementary error function values for each corresponding element.
+
+## Example
+
+In this example, we compute the complementary error function values of each tensor using `.erfc()`:
+
+```py
+import torch
+
+# Define a tensor
+x = torch.tensor([0, -1., 10.])
+
+result = torch.erfc(x)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([1.0000e+00, 1.8427e+00, 1.4013e-45])
+```

From a7beef24e6982c82610a3f0bd0dbb81e64e2d601 Mon Sep 17 00:00:00 2001
From: Javier Alvarez <138748343+javieer-alvarez@users.noreply.github.com>
Date: Sat, 9 Aug 2025 04:18:10 -0400
Subject: [PATCH 087/332] [Term Entry] C++ Sets: .size()

* Created Term Entry cpp-sets-size

* Update and rename content/cpp/concepts/sets/terms/size.md to content/cpp/concepts/sets/terms/size/size.md

* Update size.md

---------
---
 content/cpp/concepts/sets/terms/size/size.md | 91 ++++++++++++++++++++
 1 file changed, 91 insertions(+)
 create mode 100644 content/cpp/concepts/sets/terms/size/size.md

diff --git a/content/cpp/concepts/sets/terms/size/size.md b/content/cpp/concepts/sets/terms/size/size.md
new file mode 100644
index 00000000000..43763618a35
--- /dev/null
+++ b/content/cpp/concepts/sets/terms/size/size.md
@@ -0,0 +1,91 @@
+---
+Title: '.size()'
+Description: 'Returns the number of elements in the set.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Data Types'
+  - 'Sets'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`.size()`** method is used to determine the number of elements currently stored in a `std::set`.
+
+## Syntax
+
+```pseudo
+setName.size();
+```
+
+**Parameters:**
+
+This method does not take any parameters.
+
+**Return value:**
+
+Returns the current number of elements in the set as an unsigned integer (`size_type`).
+
+## Example: Calculating the Average of Set Elements
+
+In this example, a set is created, values are inserted, and the average of the elements is calculated using `.size()` to get the count:
+
+```cpp
+#include <iostream>
+#include <set>
+
+int main() {
+  // Initialize set
+  std::set<int> numbers;
+
+  // Insert values into set
+  numbers.insert(24);
+  numbers.insert(26);
+  numbers.insert(30);
+  numbers.insert(20);
+
+  int sum = 0;
+  for (int num : numbers) {
+    sum += num;
+  }
+
+  // Calculate and print average
+  std::cout << "The average of the integers in the set is: "
+            << sum / numbers.size() << "\n";
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+The average of the integers in the set is: 25
+```
+
+## Codebyte Example
+
+This codebyte example creates a `grades` set of type `int`, inserts several values, and prints the number of elements:
+
+```codebyte/cpp
+#include <iostream>
+#include <set>
+
+int main() {
+  // Initialize set
+  std::set<int> numbers;
+
+  // Insert values into set
+  numbers.insert(90);
+  numbers.insert(34);
+  numbers.insert(2);
+  numbers.insert(101);
+
+  // Print number of elements in the set
+  std::cout << "The set contains " << numbers.size() << " elements.\n";
+
+  return 0;
+}
+```

From b978f5df52a96fbffe408c27029148632a648386 Mon Sep 17 00:00:00 2001
From: Denis Grigoriev <denisgrigoriev6@gmail.com>
Date: Sat, 9 Aug 2025 09:28:05 +0100
Subject: [PATCH 088/332] [Term Entry] JavaScript Number Methods: .EPSILON

* New file EPSILON.md

* Update EPSILON.md

* Minor changes

---------
---
 .../number-methods/terms/EPSILON/EPSILON.md   | 71 +++++++++++++++++++
 1 file changed, 71 insertions(+)
 create mode 100644 content/javascript/concepts/number-methods/terms/EPSILON/EPSILON.md

diff --git a/content/javascript/concepts/number-methods/terms/EPSILON/EPSILON.md b/content/javascript/concepts/number-methods/terms/EPSILON/EPSILON.md
new file mode 100644
index 00000000000..b35a0d06041
--- /dev/null
+++ b/content/javascript/concepts/number-methods/terms/EPSILON/EPSILON.md
@@ -0,0 +1,71 @@
+---
+Title: '.EPSILON'
+Description: 'Defines the smallest positive difference between 1 and the next representable floating-point number in JavaScript.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'JavaScript'
+  - 'Numbers'
+  - 'Properties'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.EPSILON`** property is a static member of the `Number` object in JavaScript. It represents the smallest difference between 1 and the next larger floating-point number, making it useful for handling floating-point precision and comparison in JavaScript.
+
+## Syntax
+
+```pseudo
+Number.EPSILON;
+```
+
+**Parameters:**
+
+- `.EPSILON` is a static constant and does not take any arguments.
+
+**Return value:**
+
+Returns a constant value representing the smallest difference between 1 and the next greater representable floating-point number. The exact value is approximately `2.220446049250313e-16`.
+
+## Example
+
+In this example, `.EPSILON` is used to check if two floating-point numbers are nearly equal by comparing the difference to a very small threshold:
+
+```js
+function isEqual(a, b) {
+  return Math.abs(a - b) < Number.EPSILON;
+}
+
+console.log(isEqual(0.1 + 0.2, 0.3));
+```
+
+The output for this code is:
+
+```shell
+true
+```
+
+In this example, `.EPSILON` is used as a threshold to handle floating-point precision issues. The function compares the absolute difference between two numbers and returns `true` if that difference is smaller than `.EPSILON`, treating them as effectively equal. This helps avoid unexpected results when comparing decimal values like `0.1 + 0.2` and `0.3`.
+
+## Codebyte Example
+
+This codebyte example checks if the total cost of items matches the expected amount, accounting for floating-point precision:
+
+```codebyte/javascript
+function isEqual(a, b) {
+  return Math.abs(a - b) < Number.EPSILON;
+}
+
+const item1 = 0.1;
+const item2 = 0.2;
+const item3 = 0.3;
+
+const total = item1 + item2 + item3;
+const expectedTotal = 0.6;
+
+console.log("Is total correct?", isEqual(total, expectedTotal));
+```
+
+The `isEqual()` function checks if two numbers are nearly equal using `.EPSILON`. This handles minor floating-point differences in the calculated total.

From 1e65c2f27205c01252055fbf7ea3c049bb8a5216 Mon Sep 17 00:00:00 2001
From: Lauren Engelbrecht <131938688+lengelbrec@users.noreply.github.com>
Date: Sat, 9 Aug 2025 18:40:35 +1000
Subject: [PATCH 089/332] [Term Entry] JavaScript Number Methods: .MAX_VALUE

* Create new .md entry for JavaScript .MAX_VALUE

* Update max-value.md

* Minor changes

* Rename max-value.md to MAX-VALUE.md

---------
---
 .../terms/MAX-VALUE/MAX-VALUE.md              | 56 +++++++++++++++++++
 1 file changed, 56 insertions(+)
 create mode 100644 content/javascript/concepts/number-methods/terms/MAX-VALUE/MAX-VALUE.md

diff --git a/content/javascript/concepts/number-methods/terms/MAX-VALUE/MAX-VALUE.md b/content/javascript/concepts/number-methods/terms/MAX-VALUE/MAX-VALUE.md
new file mode 100644
index 00000000000..95e84c17300
--- /dev/null
+++ b/content/javascript/concepts/number-methods/terms/MAX-VALUE/MAX-VALUE.md
@@ -0,0 +1,56 @@
+---
+Title: '.MAX_VALUE'
+Description: 'Represents the largest numeric value that can be represented in JavaScript.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'JavaScript'
+  - 'Methods'
+  - 'Numbers'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+JavaScript's **`.MAX_VALUE`** represents the largest positive numeric value that can be represented using the `Number` type before it overflows to `Infinity`.
+
+## Syntax
+
+```pseudo
+Number.MAX_VALUE;
+```
+
+**Parameters:**
+
+None: `.MAX_VALUE` is a static property of the Number object.
+
+**Return value:**
+
+A number representing the largest positive finite value JavaScript can represent using the `Number` type (approximately 1.7976931348623157e+308).
+
+## Example
+
+This example shows what happens when a number exceeds `.MAX_VALUE`:
+
+```js
+const large = Number.MAX_VALUE * 2;
+console.log(large);
+```
+
+The output generated by this code is:
+
+```shell
+Infinity
+```
+
+Multiplying beyond `.MAX_VALUE` causes the result to overflow to `Infinity`, since JavaScript can't represent values larger than this limit.
+
+## Codebyte Example
+
+This codebyte example checks whether a large number is still within JavaScript's numeric limit:
+
+```codebyte/javascript
+const safe = 1e+307;
+console.log(safe < Number.MAX_VALUE);
+```

From 21cbfc781a352d54071b5abae45dda98c28f5c4e Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 11 Aug 2025 11:47:39 +0530
Subject: [PATCH 090/332] [Edit] Python Built-in Functions: sorted() (#7401)

* [Edit] Python Built-in Functions: sorted()

* minor fixes and changed one faq based on PAA

---------
---
 .../built-in-functions/terms/sorted/sorted.md | 126 ++++++------------
 1 file changed, 41 insertions(+), 85 deletions(-)

diff --git a/content/python/concepts/built-in-functions/terms/sorted/sorted.md b/content/python/concepts/built-in-functions/terms/sorted/sorted.md
index 91b1143fec7..06cf94f9d77 100644
--- a/content/python/concepts/built-in-functions/terms/sorted/sorted.md
+++ b/content/python/concepts/built-in-functions/terms/sorted/sorted.md
@@ -1,140 +1,96 @@
 ---
 Title: 'sorted()'
-Description: 'Takes in an iterator object, such as a list, tuple, dictionary, set, or string, and sorts it according to a parameter.'
+Description: 'Returns a new sorted list from the elements of any iterable, without modifying the original.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Data Science'
 Tags:
-  - 'Strings'
   - 'Functions'
   - 'Iterators'
   - 'Lists'
+  - 'Strings'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/analyze-data-with-python'
 ---
 
-Takes in an iterator object, such as a list, tuple, dictionary, set, or string, and sorts it according to a parameter.
+Python's **`sorted()`** [function](https://www.codecademy.com/resources/docs/python/functions) takes in an [iterable](https://www.codecademy.com/resources/docs/python/iterators) object, such as a [list](https://www.codecademy.com/resources/docs/python/lists), [tuple](https://www.codecademy.com/resources/docs/python/tuples), [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries), [set](https://www.codecademy.com/resources/docs/python/sets), or [string](https://www.codecademy.com/resources/docs/python/strings), and sorts it according to a parameter. This function is versatile, easy to use, and supports custom sorting logic using optional parameters.
 
-## Syntax
+## Python `sorted()` Syntax
 
 ```pseudo
 sorted(iterable, key=None, reverse=False)
 ```
 
-The `key` and `reverse` parameters are optional, and will default to `None` and `False`. `False` sorts ascending, and `True` descending. The `key` takes an input function to determine the comparison key.
+**Parameters:**
 
-## Example 1
+- `iterable`: The sequence (list, tuple, string, dictionary, etc.) to be sorted.
+- `key` (Optional): A function that acts as a sorting key.
+- `reverse` (Optional): If `True`, the result is sorted in descending order.
 
-`sorted()` can be used on either numbers or letters, but not on a combination of the two:
+**Return value:**
 
-```python
-my_list = ["beta", "epsilon", "alpha", "delta", "gamma"]
+Returns a list that includes the elements in the iterable in sorted order.
 
-new_list = sorted(my_list)
+## Example 1: Sorting a List Using `sorted()` Function in Python
 
-print(new_list)
-# Output: ['alpha', 'beta', 'delta', 'epsilon', 'gamma']
-```
+This example uses `sorted()` to sort the `my_list` list:
 
-```python
-my_list = [7,2,3,5,1,4,6]
+```py
+my_list = ["beta", "epsilon", "alpha", "delta", "gamma"]
 
 new_list = sorted(my_list)
 
 print(new_list)
-# Output: [1, 2, 3, 4, 5, 6, 7]
 ```
 
-## Example 2
-
-Changing the `reverse` parameter changes the order of the sort:
+Here is the output:
 
-```python
-my_list = [7,2,3,5,1,4,6]
-
-new_list = sorted(my_list, reverse=True)
-
-print(new_list)
-# Output: [7, 6, 5, 4, 3, 2, 1]
+```shell
+['alpha', 'beta', 'delta', 'epsilon', 'gamma']
 ```
 
-## Example 3
-
-When `reversed` is `False`, `sorted()` will sort numbers from low to high, and letters alphabetically. However, capital letters will come before lowercase letters. In order to sort all objects with the same key, use a function with the key `parameter`:
+## Example 2: Sorting in Descending Order Using `sorted()`
 
-```python
-my_string = "bCEad"
+This example uses `sorted()` with the `reverse` parameter set to `True` to sort the `my_list` list in descending order:
 
-after_sorted = sorted(my_string)
+```py
+my_list = [7, 2, 3, 5, 1, 4, 6]
 
-print(after_sorted)
-# Output: ['C', 'E', 'a', 'b', 'd']
-
-after_sorted = sorted(my_string, key=str.lower)
+new_list = sorted(my_list, reverse=True)
 
-print(after_sorted)
-# Output: ['a', 'b', 'C', 'd', 'E']
+print(new_list)
 ```
 
-## Example 4
-
-The `key` parameter can also be used to sort by other comparisons, such as length:
-
-```python
-my_list = ["aaa", "bb", "c"]
-
-my_sorted_list = sorted(my_list)
-
-print(my_sorted_list)
-# Output: ['aaa', 'bb', 'c']
+Here is the output:
 
-my_sorted_list = sorted(my_list, key=len)
-
-print(my_sorted_list)
-# Output: ['c', 'bb', 'aaa']
+```shell
+[7, 6, 5, 4, 3, 2, 1]
 ```
 
-## Example 5
-
-The `key` parameter can even take in custom functions:
-
-```python
-def sorting_func(i):
-  return i - i**2
-
-my_list = [2,1,4,3]
+## Codebyte Example: Using Python's `sorted()` with a Key
 
-my_sorted_list = sorted(my_list)
+This codebyte example uses `sorted()` with the `key` parameter set to `len` to sort the `words` list based on the length of its items:
 
-print(my_sorted_list)
-# Output: [1, 2, 3, 4]
+```codebyte/python
+words = ["banana", "apple", "cherry", "date"]
 
-my_sorted_list = sorted(my_list, key=sorting_func)
+sorted_words = sorted(words, key=len)
 
-print(my_sorted_list)
-# Output: [4, 3, 2, 1]
+print(sorted_words)
 ```
 
-## Codebyte Example
+## Frequently Asked Questions
 
-Sorting a list of dictionaries based on a specific key:
+### 1. What is the difference between `sorted()` and `list.sort()`?
 
-```codebyte/python
-my_list_of_dicts = [
-    {"name": "Alice", "age": 30},
-    {"name": "Bob", "age": 25},
-    {"name": "Charlie", "age": 35},
-    {"name": "David", "age": 28}
-]
+- `sorted()` works on any iterable and returns a new sorted list.
+- `list.sort()` modifies the list in-place and returns `None`.
 
-# Sort the list of dictionaries based on the "age" key in ascending order
-sorted_list = sorted(my_list_of_dicts, key=lambda x: x["age"])
+### 2. Can I sort in descending order using `sorted()`?
 
-print(sorted_list)
+Yes, you can set the `reverse` parameter in `sorted()` to `True` to sort in descending order.
 
-# Sort the list of dictionaries based on the "name" key in alphabetical order (case-insensitive)
-sorted_list_by_name = sorted(my_list_of_dicts, key=lambda x: x["name"].lower())
+### 3. Does `sorted()` always return a list?
 
-print(sorted_list_by_name)
-```
+Yes, no matter what iterable you pass in—whether it’s a string, tuple, set, or dictionary, `sorted()` always returns a new list containing the sorted elements. It never returns the same type as the input.

From 773fd4220f458d8d6aee99ca7d1f114900a6e3e6 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 11 Aug 2025 11:58:38 +0530
Subject: [PATCH 091/332] [Edit] Pandas Built-in Functions: .unique() (#7404)

* [Edit] Pandas Built-in Functions: .unique()

* updated minor content and FAQ based on PAA

---------
---
 .../built-in-functions/terms/unique/unique.md | 95 ++++++++++++-------
 1 file changed, 60 insertions(+), 35 deletions(-)

diff --git a/content/pandas/concepts/built-in-functions/terms/unique/unique.md b/content/pandas/concepts/built-in-functions/terms/unique/unique.md
index edc7fd54ccd..17538f3763e 100644
--- a/content/pandas/concepts/built-in-functions/terms/unique/unique.md
+++ b/content/pandas/concepts/built-in-functions/terms/unique/unique.md
@@ -1,81 +1,106 @@
 ---
 Title: '.unique()'
-Description: 'Returns an array containing all the unique elements in the data series, with no specific order.'
+Description: 'Returns a NumPy array of the unique values in the order they appear in the Series.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
-  - 'Data Visualization'
 Tags:
   - 'Arrays'
   - 'Data'
   - 'Encoding'
   - 'Functions'
-  - 'Pandas'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
-  - 'paths/data-science'
-  - 'paths/data-science-foundations'
 ---
 
-The **`.unique()`** function returns unique values from a data series using a hash table. It operates similarly to `numpy.unique()` but is notably faster, especially with large datasets, and it also includes NA values.
+The Pandas **`.unique()`** function returns a [NumPy array](https://www.codecademy.com/resources/docs/numpy/ndarray) containing all the unique elements in a data series, with no specific order. It operates similarly to [NumPy's](https://www.codecademy.com/resources/docs/numpy) `.unique()`, but can be more efficient for large Series with repeated elements, and it also includes `NaN` values.
 
-## Syntax
+## Pandas `.unique()` Syntax
 
 ```pseudo
-pd.unique(data_series)
+series.unique()
 ```
 
-The `data_series` parameter represents a 1-dimensional array-like data structure from which unique elements will be returned by the function. The `dtype` of the return matches that of the input, which can be of Index, Categorical, or Series type. The function lists the unique elements in the order they appear in the input data series, and it does _NOT_ sort them.
+**Parameters:**
 
-## Example
+The `.unique()` function takes no parameters.
 
-The following example demonstrates the use of the `.unique()` function:
+**Return value:**
+
+Returns a NumPy array containing the unique values from a Pandas Series, in the order they appear.
+
+## Example 1: Basic Usage of `.unique()`
+
+In this example, `.unique()` is used to return all the unique elements in `series`:
 
 ```py
 import pandas as pd
 
 series = pd.Series([3, -1, 5, -1, 2, 1, 3, 2, 1, 5, -2, 1, 2])
 unique_elements = series.unique()
-print(f"The unique elements in series {list(series)} are\n {unique_elements}")
+print(unique_elements)
 ```
 
-The above code outputs the following:
+Here is the output:
 
 ```shell
-The unique elements in series [3, -1, 5, -1, 2, 1, 3, -2, 1, 5, 2, 1, 2] are
-[3 -1 5 2 1 3 -2]
+[ 3 -1  5  2  1 -2]
 ```
 
-## Codebyte Example
+## Example 2: Using `.unique()` on a DataFrame Column
 
-The code below shows off the effects of `unique()` on different kinds of data types: Index, Categorical, and Series. After defining the array-like objects, the `unique()` method is applied to list out the unique elements of each object, and the resulting data is printed out to the console.
+In this example, `.unique()` is used to return all the unique names from the `Name` column of the `df` [DataFrame](https://www.codecademy.com/resources/docs/pandas/dataframe):
 
-```codebyte/python
+```py
 import pandas as pd
 
-index = pd.Index([
-            pd.Timestamp("20160101", tz="US/Eastern"),
-            pd.Timestamp("20160101", tz="US/Eastern"),
-            pd.Timestamp("20160102", tz="US/Eastern"),
-            pd.Timestamp("20160101", tz="US/Central"),
-        ])
+df = pd.DataFrame({
+  'Name': ['Alice', 'Bob', 'Alice', 'David', 'Bob'],
+  'Age': [25, 30, 25, 40, 30]
+})
+
+unique_names = df['Name'].unique()
 
-print("Unique elements in Index:")
-print(pd.unique(index))
+print(unique_names)
+```
+
+Here is the output:
 
-grades = pd.Categorical(['A', 'B', 'B+', 'C-', 'D', 'A', 'B', 'A', 'B-', 'F'], categories=['A', 'A-', 'B+', 'B', 'B-', 'C+', 'C', 'C-', 'D+', 'D', 'F'], ordered=True)
+```shell
+['Alice' 'Bob' 'David']
+```
 
-print("\nUnique elements in Categorical:")
-print(pd.unique(grades))
+## Codebyte Example: Dealing with Missing Values Using `.unique()`
 
-string_series = pd.Series(['John', 'Jack', 'Ellen', 'Kirsten', 'Jack', 'John Jr', 'Kristen', 'Ellen'])
+This codebyte example shows how `.unique()` deals with missing values:
 
-print("\nUnique elements in String Series:")
-print(pd.unique(string_series))
+```codebyte/python
+import pandas as pd
 
-int_series = pd.Series([2 * n for n in range(10)] + [3 * n for n in range(5)])
+data_with_nan = pd.Series([1, 2, 2, None, 3, None, 1])
 
-print("\nUnique elements in Integer Series:")
-print(pd.unique(int_series))
+unique_with_nan = data_with_nan.unique()
+
+print(unique_with_nan)
 ```
+
+## Frequently Asked Questions
+
+### 1. Does `.unique()` work on DataFrames directly?
+
+No. `.unique()` only works on Series. To find unique values in a DataFrame column, you must select the column first:
+
+```py
+df['column_name'].unique()
+```
+
+### 2. What is the difference between `.unique()` and `.nunique()`?
+
+- `.unique()` returns a NumPy array of the unique values.
+- `.nunique()` returns the count of unique values.
+
+### 3. What is the difference between `.unique()` and `.drop_duplicates()` in Pandas?
+
+- `.unique()` is used on a single Series and returns a NumPy array of unique values in the order they appear.
+- `.drop_duplicates()` is used on a Series or DataFrame and returns a Pandas object (Series or DataFrame) with duplicate rows or values removed.

From ebcdd02703d2e42bc978f173af01640243d7b8bd Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 11 Aug 2025 12:01:25 +0530
Subject: [PATCH 092/332] [Edit] Pandas DataFrame: .groupby() (#7409)

* [Edit] Pandas DataFrame: .groupby()

* updated faqs based on PAA

---------
---
 .../dataframe/terms/groupby/groupby.md        | 143 +++++++++++++-----
 1 file changed, 107 insertions(+), 36 deletions(-)

diff --git a/content/pandas/concepts/dataframe/terms/groupby/groupby.md b/content/pandas/concepts/dataframe/terms/groupby/groupby.md
index c6090178fda..83a4c6e484d 100644
--- a/content/pandas/concepts/dataframe/terms/groupby/groupby.md
+++ b/content/pandas/concepts/dataframe/terms/groupby/groupby.md
@@ -12,59 +12,130 @@ CatalogContent:
   - 'paths/data-science'
 ---
 
-The **`.groupby()`** function groups a [`DataFrame`](https://www.codecademy.com/resources/docs/pandas/dataframe) using a mapper or a series of columns and returns a [`GroupBy`](https://www.codecademy.com/resources/docs/pandas/groupby) object. A range of methods, as well as custom functions, can be applied to `GroupBy` objects in order to combine or transform large amounts of data in these groups.
+The Pandas DataFrame **`.groupby()`** function groups a `DataFrame` using a mapper or a series of columns and returns a [`GroupBy`](https://www.codecademy.com/resources/docs/pandas/groupby) object. A range of methods, as well as custom functions, can be applied to `GroupBy` objects in order to combine or transform large amounts of data in these groups.
 
-## Syntax
+## Pandas `.groupby()` Syntax
 
 ```pseudo
-dataframevalue.groupby(by, axis, level, as_index, sort, group_keys, observed, dropna)
+df.groupby(by=None, axis=0, level=None, as_index=True, sort=True, group_keys=True, observed=False, dropna=True)
 ```
 
-`.groupby()` uses the following parameters:
+**Parameters:**
 
 - `by`: If a dictionary or `Series` is passed, the values will determine groups. If a list or [ndarray](https://www.codecademy.com/resources/docs/numpy/ndarray) with the same length as the selected axis is passed, the values will be used to form groups. A label or list of labels can be used to group by a particular column or columns.
-- `axis`: Split along rows (0 or "index") or columns (1 or "columns"). Default value is 0.
-- `level`: If the axis is a `MultiIndex`, group by a particular level or levels. Value is int or level name, or sequence of them. Default value is `None`.
-- `as_index`: Boolean value. `True` returns group labels as an index in aggregated output, and `False` returns labels as `DataFrame` columns. Default value is `True`.
-- `sort`: Boolean value. `True` sorts the group keys. Default value is `True`.
-- `group_keys`: Boolean value. Add group keys to index when calling apply. Default value is `True`.
-- `observed`: Boolean value. If `True`, only show observed values for categorical groupers, otherwise show all values. Default value is `False`.
-- `dropna`: Boolean value. If `True`, drop groups whose keys contain `NA` values. If `False`, `NA` will be used as a key for those groups. Default value is `True`.
+- `axis`: Split along rows (`0` or `"index"`) or columns (`1` or `"columns"`).
+- `level`: If the axis is a `MultiIndex`, group by a particular level or levels. Value is an integer or level name, or a sequence of them.
+- `as_index`: Boolean value. `True` returns group labels as an index in aggregated output, and `False` returns labels as `DataFrame` columns.
+- `sort`: Boolean value. `True` sorts the group keys.
+- `group_keys`: Boolean value. If `False`, add group keys to index when calling apply.
+- `observed`: Boolean value. If `True`, only show observed values for categorical groupers, otherwise show all values.
+- `dropna`: Boolean value. If `True`, drop groups whose keys contain `NA` values. If `False`, `NA` will be used as a key for those groups.
 
-## Example
+## Example 1: Group by Single Column Using `.groupby()`
 
-This example uses `.groupby()` on a `DataFrame` to produce some aggregate results.
+This example uses `.groupby()` to group the data by a single column:
 
 ```py
 import pandas as pd
 
-df = pd.DataFrame({'Key' : ['A', 'A', 'A', 'B', 'B', 'C'],
-                   'Value' : [15., 23., 17., 5., 8., 12.]})
-print(df, end='\n\n')
+data = {
+  'Region': ['East', 'West', 'East', 'South', 'West', 'South', 'East'],
+  'Sales': [250, 200, 300, 400, 150, 500, 100]
+}
 
-print(df.groupby(['Key'], as_index=False).mean(), end='\n\n')
+df = pd.DataFrame(data)
 
-print(df.groupby(['Key'], as_index=False).sum())
+result = df.groupby('Region')['Sales'].sum()
+
+print(result)
+```
+
+Here is the output:
+
+```shell
+Region
+East     650
+South    900
+West     350
+Name: Sales, dtype: int64
+```
+
+## Example 2: Group by Multiple Columns Using `.groupby()`
+
+This example uses `.groupby()` to group the data by multiple columns:
+
+```py
+import pandas as pd
+
+data = {
+  'Region': ['East', 'West', 'East', 'South', 'West', 'South', 'East'],
+  'Product': ['A', 'B', 'A', 'B', 'A', 'A', 'B'],
+  'Sales': [250, 200, 300, 400, 150, 500, 100]
+}
+
+df = pd.DataFrame(data)
+
+result = df.groupby(['Region', 'Product'])['Sales'].sum()
+
+print(result)
 ```
 
-This produces the following output:
+Here is the output:
 
 ```shell
-  Key  Value
-0   A   15.0
-1   A   23.0
-2   A   17.0
-3   B    5.0
-4   B    8.0
-5   C   12.0
-
-  Key  Value
-0   A  18.333333
-1   B   6.500000
-2   C  12.000000
-
-  Key  Value
-0   A   55.0
-1   B   13.0
-2   C   12.0
+Region  Product
+East    A          550
+        B          100
+South   A          500
+        B          400
+West    A          150
+        B          200
+Name: Sales, dtype: int64
+```
+
+## Codebyte Example: Using Aggregate Functions with Python's `.groupby()`
+
+This codebyte example uses `.groupby()` to group the data and then applies aggregate functions on the grouped data:
+
+```codebyte/python
+import pandas as pd
+
+data = {
+  'Region': ['East', 'West', 'East', 'South', 'West', 'South', 'East'],
+  'Product': ['A', 'B', 'A', 'B', 'A', 'A', 'B'],
+  'Sales': [250, 200, 300, 400, 150, 500, 100]
+}
+
+df = pd.DataFrame(data)
+
+result = df.groupby('Region')['Sales'].agg(['sum', 'mean', 'max'])
+
+print(result)
 ```
+
+## Frequently Asked Questions
+
+### 1. When should I use `groupby` in Pandas?
+
+Use `groupby` when you want to split data into groups, apply a function, and combine results. Common operations include computing aggregates like sum, mean, or count per category.
+
+### 2. Is Pandas `groupby` slow?
+
+It can be slow for large datasets, especially if:
+
+- You’re grouping by multiple columns.
+- The dataset doesn’t fit in memory.
+- You're applying custom Python functions instead of built-ins.
+
+For most medium-sized tasks, it's fast enough. For massive data, look into more efficient libraries like Polars or Dask.
+
+### 3. Is Polars `groupby` faster than Pandas?
+
+Yes, often much faster. Polars is built in Rust and optimized for speed and parallelism. It can handle larger-than-memory data better and is ideal for performance-critical data tasks.
+
+Example speed difference:
+
+- Pandas: single-threaded.
+- Polars: multi-threaded, faster `groupby` and aggregation.
+
+If performance is a bottleneck, switching to Polars is worth considering.

From 29ff8a557aa3a7c684209b7b9359907f3b68bab3 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 11 Aug 2025 12:08:40 +0530
Subject: [PATCH 093/332] [Edit] Python: Variables (#7436)

* [Edit] Python: Variables

* updated FAQs from PAA

* Update variables.md

* Update variables.md

---------
---
 .../python/concepts/variables/variables.md    | 143 +++++++++++++++---
 1 file changed, 122 insertions(+), 21 deletions(-)

diff --git a/content/python/concepts/variables/variables.md b/content/python/concepts/variables/variables.md
index 7094b7c48f0..7965237fb20 100644
--- a/content/python/concepts/variables/variables.md
+++ b/content/python/concepts/variables/variables.md
@@ -1,49 +1,150 @@
 ---
 Title: 'Variables'
-Description: 'A variable is used to store data that will be used by the program. This data can be a number, a string, a Boolean, a list or some other data type. Every variable has a name which can consist of letters, numbers, and the underscore character . The equal sign = is used to assign a value to a variable. After the initial assignment is made, the value of a variable can be updated to new values as needed. A variable can have a short name (like x and y) or a more descriptive name (age, grade, grocerylist). Rules for Python variables: - A variable name must start with a letter or the underscore character. It cannot start with a number. - A variable name can only contain alpha-numeric characters and underscores (A-z, 0-9, and _). - Variable names are case-sensitive (num, Num, and NUM are three different variables).'
+Description: 'Variables are used to store data that can be used and manipulated throughout a program.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
 Tags:
-  - 'Variables'
-  - 'Integers'
   - 'Booleans'
+  - 'Integers'
   - 'Strings'
+  - 'Variables'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
-  - 'paths/data-science'
 ---
 
-A variable is used to store data that will be used by the program. This data can be a number, a string, a Boolean, a list or some other data type. Every variable has a name which can consist of letters, numbers, and the underscore character `_`.
+**Python variables** help in storing data that can be used and manipulated throughout a program. Unlike some other languages, Python doesn't require explicit declaration of a variable’s [data type](https://www.codecademy.com/resources/docs/python/data-types). Whether storing a number, a [string](https://www.codecademy.com/resources/docs/python/strings) of text, or even a complex data structure like a [list](https://www.codecademy.com/resources/docs/python/lists), variables act as containers for that information, allowing code to reference and reuse it.
+
+## Creating Python Variables
+
+The assignment [operator](https://www.codecademy.com/resources/docs/python/operators) (`=`) is used to create a Python variable:
+
+```py
+x = 10
+name = "Alice"
+is_active = True
+```
+
+In this example:
+
+- `x` stores an integer (`10`)
+- `name` stores a string (`"Alice"`)
+- `is_active` stores a Boolean value (`True`)
+
+Python automatically infers the type of data being assigned.
+
+## Modifying Python Variables
 
-The equal sign `=` is used to assign a value to a variable. After the initial assignment is made, the value of a variable can be updated to new values as needed.
+The assignment operator (`=`) can also be used to change the value of a Python variable after its creation:
 
-## Variable Names
+```py
+# Creating a variable
+x = 10
+
+# Changing the value of the variable
+x = 15
+```
+
+## Python Variable Naming Conventions
 
-A variable can have a short name (like `x` and `y`) or a more descriptive name (`age`, `grade`, `grocery_list`).
+A Python variable can have a short name (`x`, `y`, etc.) or a more descriptive name (`age`, `grade`, `grocery_list`, etc.).
 
-Rules for Python variables:
+Here are the rules to follow while naming Python variables:
 
-- A variable name must start with a letter or the underscore character. It cannot start with a number.
-- A variable name can only contain alpha-numeric characters and underscores (`A`-`z`, `0`-`9`, and `_`).
+- A variable name should begin with a letter or the underscore character. It cannot start with a number.
+- A variable name can only include alpha-numeric characters and underscores (`A`-`z`, `0`-`9`, and `_`).
 - Variable names are case-sensitive (`num`, `Num`, and `NUM` are three different variables).
 
-## Examples
+These are some valid variable names:
+
+```py
+my_var = 1
+_myvar = 2
+myVar3 = 3
+```
 
-These are all valid variable names and assignment:
+These are some invalid variable names:
 
 ```py
-user_name = "@sonny420"
-user_id = 100
-verified = False
+3var = 10    # Starts with a number (invalid)
+my-var = 20  # Contains a hyphen (invalid)
+if = "hello" # 'if' is a reserved keyword (invalid)
 ```
 
-A variable's value can be changed after assignment
+## Example 1: Basic Arithmetic with Python Variables
+
+This example adds two Python variables:
+
+```py
+a = 5
+b = 3
+
+sum_result = a + b
+
+print("Sum:", sum_result)
+```
 
-```codebyte/py
-points = 100
-points = 120
+The output generated by this code is:
 
-print(points)
+```shell
+Sum: 8
 ```
+
+## Example 2: Swapping Python Variables
+
+Python makes it easy to swap values between two variables:
+
+```py
+x = 10
+y = 20
+
+x, y = y, x
+
+print("x =", x)
+print("y =", y)
+```
+
+The output generated by this code is:
+
+```shell
+x = 20
+y = 10
+```
+
+## Codebyte Example: Using Python Variables in Strings
+
+Python variables can be used within strings using f-strings (Python 3.6+):
+
+```codebyte/python
+name = "Alice"
+
+age = 30
+
+print(f"My name is {name} and I am {age} years old.")
+```
+
+## Frequently Asked Questions
+
+### 1. What are the four types of variables in Python?
+
+Python defines four main types of variables based on their scope: local, global, instance and class. Here's how they work:
+
+- **Local variables**: Declared inside a function and accessible only within that function.
+- **Global variables**: Declared outside all functions and accessible throughout the program.
+- **Instance variables**: Belong to a specific object created from a class.
+- **Class variables**: Shared across all instances of a class.
+
+### 2. How to name Python variables?
+
+When naming variables in Python follow these rules:
+
+- Begin with a letter or underscore (`_`) and never with a number.
+- Use only letters, numbers, and underscores (no spaces or special characters).
+- Variable names are case-sensitive (`score`, `Score`, and `SCORE` are different).
+- Avoid using Python reserved keywords like `if`, `while`, or `class`.
+- Follow PEP 8 style guidelines and use `lowercase_with_underscores` for readability.
+
+### 3. How do you declare variable types in Python?
+
+Python uses dynamic typing, so you don’t have to declare types explicitly, the type is inferred when you assign a value.

From 4e3bf97c7b924891137beb7bbcd5c42fa51f3be4 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 11 Aug 2025 12:23:56 +0530
Subject: [PATCH 094/332] [Edit] Python: Strings (#7442)

* [Edit] Python: Strings

* updated FAQs

* fixed format

---------
---
 content/python/concepts/strings/strings.md | 118 ++++++++++++---------
 1 file changed, 69 insertions(+), 49 deletions(-)

diff --git a/content/python/concepts/strings/strings.md b/content/python/concepts/strings/strings.md
index 77414f19565..7f70365895f 100644
--- a/content/python/concepts/strings/strings.md
+++ b/content/python/concepts/strings/strings.md
@@ -4,41 +4,43 @@ Description: 'A string is a sequence of characters contained within a pair of si
 Subjects:
   - 'Code Foundations'
   - 'Computer Science'
-  - 'Data Science'
 Tags:
-  - 'Strings'
+  - 'Characters'
+  - 'Data Types'
   - 'Formatting'
   - 'Lists'
-  - 'Data Types'
-  - 'Characters'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-A string is a sequence of characters contained within a pair of single quotes (`'`) or double quotes(`"`). Strings can store words, sentences, or whole paragraphs. They can be any length and can contain letters, numbers, symbols, and spaces.
+A **string** in Python is a sequence of characters contained within a pair of single quotes (`'`) or double quotes(`"`). Strings can store words, sentences, or whole paragraphs. They can be of any length and can contain letters, numbers, symbols, and spaces.
+
+## Creating a String in Python
+
+Here's how a string in Python can be created:
 
 ```py
 message1 = "I am a string"
 message2 = 'I am also a string'
 ```
 
-Other [data types](https://www.codecademy.com/resources/docs/python/data-types) such as `integers`, `doubles`, and `booleans` can also be `strings` if they are wrapped in quotes.
+Other [data types](https://www.codecademy.com/resources/docs/python/data-types) such as integers, float, and booleans can also be strings if they are wrapped in quotes:
 
 | Example                    | String? |
 | -------------------------- | ------- |
-| "2" (with double-quotes)   | Yes ✅  |
-| '3.6' (with single-quotes) | Yes ✅  |
-| "True" (also in quotes)    | Yes ✅  |
-| 7 (integer)                | No ❌   |
-| Hello (no quotes)          | No ❌   |
-| True (boolean)             | No ❌   |
+| "2" (with double-quotes)   | Yes     |
+| '3.6' (with single-quotes) | Yes     |
+| "True" (also in quotes)    | Yes     |
+| 7 (integer)                | No      |
+| Hello (no quotes)          | No      |
+| True (boolean)             | No      |
 
-Strings are immutable; they cannot change. Every time an operation is performed on a string, a new string is created in memory.
+Strings are immutable, meaning they cannot change. Every time an operation is performed on a string, a new string is created in memory.
 
-## Accessing the Characters of a String
+## Accessing the Characters of a String in Python
 
-Strings in Python are technically a type of [list](https://www.codecademy.com/resources/docs/python/lists) — one in which each character is a separate element. This means each character in a string can be individually accessed by index, like with the elements in a list:
+A string in Python is a sequence of characters. Like [lists](<(https://www.codecademy.com/resources/docs/python/lists)>), strings support indexing and slicing. This means each character in a string can be individually accessed by index, like with the elements in a list:
 
 ```py
 myString = "Hello, World!"
@@ -52,30 +54,26 @@ print("var_2: " + var_2) # Output: var_2: World!
 print("var_3: " + var_3) # Output: var_3: ell
 ```
 
-If an attempt is made to access an index out of bounds, it will return an `IndexError`.
+If an attempt is made to access an index out of bounds, it will return an `IndexError`:
 
 ```py
 name = "phillis"
 name[8] # Throws an IndexError
 ```
 
-## Multi-line Strings
+## Multi-line Strings in Python
 
-Strings can be long or short. For longer text, a multi-line string can be used. Multi-line strings begin and end with three single or double quotes:
+A string in Python can be long or short. For longer text, a multi-line string can be used. Multi-line strings begin and end with three single or double quotes:
 
 ```py
-my_string = """If it were done when 'tis done, then 'twere well
-It were done quickly: if the assassination
-Could trammel up the consequence, and catch
-With his surcease success; that but this blow
-Might be the be-all and the end-all here,
-But here, upon this bank and shoal of time,
-We'ld jump the life to come."""
+my_string = """This is a
+multi-line
+string."""
 ```
 
-## Escape Characters
+## Escape Characters in a String in Python
 
-Sometimes a string may have a character that Python tries to interpret, such as `'`.
+Sometimes, a string in Python may have a character that Python tries to interpret, such as `'`:
 
 ```py
 my_string = 'It's a lovely day!'
@@ -83,7 +81,7 @@ my_string = 'It's a lovely day!'
 print(my_string)
 ```
 
-This will raise an error, because the interpreter thinks the second `'` marks the end of the string.
+This will raise an error, because the interpreter thinks the second `'` marks the end of the string:
 
 ```shell
   File "main.py", line 1
@@ -99,8 +97,7 @@ The backslash will not be visible if the string is printed:
 ```py
 my_string = 'It\'s a lovely day!'
 
-print(my_string)
-# Output: It's a lovely day!
+print(my_string) # Output: It's a lovely day!
 ```
 
 This problem can be avoided by wrapping strings containing `'` characters in double quotes:
@@ -108,8 +105,7 @@ This problem can be avoided by wrapping strings containing `'` characters in dou
 ```py
 my_string = "It's a lovely day!"
 
-print(my_string)
-# Output: It's a lovely day!
+print(my_string) # Output: It's a lovely day!
 ```
 
 Python also has a series of non-printing characters that can modify strings. For example, `\n` adds a new line and `\t` adds a tab:
@@ -125,50 +121,47 @@ This will output:
 ```shell
 I am on top!
 I am on bottom.
-        I am indented!
+  I am indented!
 ```
 
-## Modifying Strings
+## Modifying a String in Python
 
-Python has special [operators](https://www.codecademy.com/resources/docs/python/operators) to modify strings. For example, `+` can be used to concatenate strings, and `*` can be used to multiply a string. The keyword `in` can be used to see if a given character or substring exists in a `string`.
+Python has special [operators](https://www.codecademy.com/resources/docs/python/operators) to modify strings. For example, `+` can be used to concatenate strings and `*` can be used to multiply a string. The keyword `in` can be used to see if a given character or substring exists in a `string`:
 
 ```py
 string_one = "Hello, "
 string_two = "World! "
 combo = string_one + string_two
 
-print(combo)
-# Output: Hello, World!
+print(combo) # Output: Hello, World!
 
 new_combo = combo * 2
 
-print(new_combo)
-# Output: Hello, World! Hello, World!
+print(new_combo) # Output: Hello, World! Hello, World!
 
 if "World" in new_combo:
-  print("It's here!")
-  # Output: It's here!
+  print("It's here!") # Output: It's here!
 ```
 
 Strings can also be formatted with either of the following:
 
 - The `f/F` flag (placed before the opening quotation mark).
-- The [.format()](https://www.codecademy.com/resources/docs/python/strings/format) method (requires manually adding placeholders).
+- The [`.format()`](https://www.codecademy.com/resources/docs/python/strings/format) method (requires manually adding placeholders).
 
-## Comparing Strings
+## Comparing Strings in Python
 
-Python can use comparison [operators](https://www.codecademy.com/resources/docs/python/operators) to compare the contents of two strings. The operators behave as they do with numeric arguments:
+Python can use comparison operators to compare the contents of two strings. The operators behave as they do with numeric arguments:
 
 | Operator |           Term           | Description                                                                              |
 | :------: | :----------------------: | ---------------------------------------------------------------------------------------- |
 |   `==`   |          Equal           | Returns `True` if two strings are equal.                                                 |
 |   `!=`   |        Not equal         | Returns `True` if two strings are not equal.                                             |
-|   `<`    |        Less than         | Returns `True` if the left string is lexically prior the right string.                   |
-|   `>`    |       Greater than       | Returns `True` is the left string comes lexically after the right string.                |
+|   `<`    |        Less than         | Returns `True` if the left string is lexically prior to the right string.                |
+|   `>`    |       Greater than       | Returns `True` if the left string comes lexically after the right string.                |
 |   `<=`   |  Less than or equal to   | Returns `True` if the left string is equal to or lexically prior to the right string.    |
 |   `>=`   | Greater than or equal to | Returns `True` if the left string is equal to or comes lexically after the right string. |
 
-The following example demonstrates string comparison:
+This codebyte example demonstrates string comparison in Python:
 
 ```codebyte/python
 string_one = "Hello"
@@ -178,6 +171,33 @@ print(string_one > string_two)
 print(string_one < string_two)
 ```
 
-## Built-in String Methods
+## Frequently Asked Questions
+
+### 1. How to concatenate two strings in Python?
+
+You can use the `+` operator or `.join()` method to concatenate strings in Python:
+
+```py
+"Hello" + " " + "World"  # Using +
+" ".join(["Hello", "World"])  # Using join()
+```
+
+### 2. How can I slice a string in Python?
+
+String slicing in Python uses the format `string[start:stop:step]`:
+
+```py
+text = "HelloWorld"
+print(text[1:5])  # Output: ello
+```
+
+### 3. What are the 4 string functions in Python?
+
+Here are some common Python string methods:
 
-Python has a number of built-in string methods that manipulate strings. However, when these methods are called, the original string will not be changed, so any modifications will need to be saved to a new variable. A few useful built-in string methods are listed below.
+- `.lower()`: Converts to lowercase
+- `.upper()`: Converts to uppercase
+- `.strip()`: Removes whitespace
+- `.replace()`: Replaces substrings
+- `.split()`: Splits the string into a list
+- `.find()`: Finds the index of a substring

From b9e74006468155a6e6b7d73f706b6044b9706f6d Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Mon, 11 Aug 2025 22:53:25 +0530
Subject: [PATCH 095/332] [Edit] SQL: BETWEEN (#7440)

* [Edit] SQL: BETWEEN

* Update content/sql/concepts/operators/terms/between/between.md

* Update content/sql/concepts/operators/terms/between/between.md

---------
---
 .../operators/terms/between/between.md        | 151 +++++++++++++++---
 1 file changed, 133 insertions(+), 18 deletions(-)

diff --git a/content/sql/concepts/operators/terms/between/between.md b/content/sql/concepts/operators/terms/between/between.md
index 1fab978bade..c50d489ca84 100644
--- a/content/sql/concepts/operators/terms/between/between.md
+++ b/content/sql/concepts/operators/terms/between/between.md
@@ -1,39 +1,154 @@
 ---
 Title: 'BETWEEN'
-Description: 'Selects values, inclusively of beginning and end values, within a given range. BETWEEN works with numbers, text, or date data types.'
+Description: 'Filters records within a specified range of values.'
 Subjects:
+  - 'Computer Science'
   - 'Data Science'
 Tags:
-  - 'Database'
+  - 'Filter'
+  - 'Operators'
   - 'Queries'
-  - 'PostgreSQL'
-  - 'MySQL'
-  - 'SQLite'
-  - 'Tables'
+  - 'Range'
 CatalogContent:
   - 'learn-sql'
   - 'paths/analyze-data-with-sql'
 ---
 
-The **`BETWEEN`** operator selects values, inclusive of beginning and end values, within a given range.
+The **`BETWEEN`** operator in SQL filters records within a specified range of values. It simplifies the process of retrieving data that falls between two boundary values, working with numeric, text, and date columns to create inclusive range queries.
 
-## Syntax
+## Syntax of `BETWEEN` operator
 
 ```pseudo
-SELECT *
-FROM table
-WHERE column BETWEEN value_A AND value_B;
+SELECT column_name(s)
+FROM table_name
+WHERE column_name BETWEEN value1 AND value2;
 ```
 
-The `column` must exist and `value_A` and `value_B` must define a valid range. `BETWEEN` works with numbers, text, or date data types.
+**Parameters:**
 
-## Example
+- `column_name(s)`: The name of the column(s) to retrieve data from
+- `table_name`: The name of the table containing the data
+- `value1`: The starting value of the range (inclusive)
+- `value2`: The ending value of the range (inclusive)
 
-The following query returns all rows from the `students` table with a `gpa` between 0 and 2 (exclusive) in ascending order:
+**Return value:**
+
+The `BETWEEN` operator returns all records where the specified column value falls within the inclusive range from `value1` to `value2`.
+
+## Sample Database
+
+The following examples use this sample `Employees` table:
+
+| EmployeeID | FirstName | LastName | Age | Salary | Department | HireDate   |
+| ---------- | --------- | -------- | --- | ------ | ---------- | ---------- |
+| 1          | John      | Adams    | 28  | 45000  | IT         | 2023-03-15 |
+| 2          | Sarah     | Brown    | 34  | 65000  | Sales      | 2022-07-10 |
+| 3          | Mike      | Davis    | 42  | 75000  | IT         | 2021-01-20 |
+| 4          | Emma      | Johnson  | 29  | 55000  | Marketing  | 2023-08-05 |
+| 5          | Robert    | Miller   | 38  | 68000  | Sales      | 2022-11-12 |
+| 6          | Lisa      | Wilson   | 25  | 48000  | IT         | 2023-05-18 |
+
+## NOT BETWEEN Example
+
+This example demonstrates how to exclude records within a specific range using the `NOT BETWEEN` operator:
+
+```sql
+-- Find employees whose ages are NOT between 30 and 40
+SELECT EmployeeID, FirstName, LastName, Age
+FROM Employees
+WHERE Age NOT BETWEEN 30 AND 40;
+```
+
+The output of this code is:
+
+```shell
+EmployeeID | FirstName | LastName | Age
+1          | John      | Adams    | 28
+3          | Mike      | Davis    | 42
+4          | Emma      | Johnson  | 29
+6          | Lisa      | Wilson   | 25
+```
+
+The query returns employees whose ages fall outside the 30-40 range, effectively filtering out employees within that age bracket.
+
+## BETWEEN with IN Example
+
+This example combines the `BETWEEN` operator with the `IN` operator to create more complex filtering conditions for real-world scenarios:
+
+```sql
+-- Find employees with salaries between 50000 and 70000 from specific departments
+SELECT EmployeeID, FirstName, LastName, Salary, Department
+FROM Employees
+WHERE Salary BETWEEN 50000 AND 70000
+  AND Department IN ('IT', 'Sales', 'Marketing');
+```
+
+The output of this code is:
+
+```shell
+EmployeeID | FirstName | LastName | Salary | Department
+2          | Sarah     | Brown    | 65000  | Sales
+4          | Emma      | Johnson  | 55000  | Marketing
+5          | Robert    | Miller   | 68000  | Sales
+```
+
+This query filters employees that meet both conditions: salaries within the $50,000-$70,000 range and belonging to specific departments, useful for HR analysis and budget planning.
+
+## BETWEEN Text Values Example
+
+This example shows how to filter text data alphabetically using the `BETWEEN` operator, useful for name-based searches and alphabetical sorting:
+
+```sql
+-- Find employees whose last names fall alphabetically between 'Brown' and 'Miller'
+SELECT EmployeeID, FirstName, LastName, Department
+FROM Employees
+WHERE LastName BETWEEN 'Brown' AND 'Miller';
+```
+
+The output of this code is:
+
+```shell
+EmployeeID | FirstName | LastName | Department
+2          | Sarah     | Brown    | Sales
+3          | Mike      | Davis    | IT
+4          | Emma      | Johnson  | Marketing
+5          | Robert    | Miller   | Sales
+```
+
+The query returns employees whose surnames fall within the alphabetical range, including both boundary values.
+
+## BETWEEN Dates Example
+
+This example demonstrates date range filtering, commonly used for reporting and time-based analysis in business applications:
 
 ```sql
-SELECT *
-FROM students
-WHERE gpa BETWEEN 0.0 AND 1.99
-ORDER BY gpa;
+-- Find employees hired between January 1, 2023 and December 31, 2023
+SELECT EmployeeID, FirstName, LastName, HireDate, Department
+FROM Employees
+WHERE HireDate BETWEEN '2023-01-01' AND '2023-12-31';
 ```
+
+The output of this code is:
+
+```shell
+EmployeeID | FirstName | LastName | HireDate   | Department
+1          | John      | Adams    | 2023-03-15 | IT
+4          | Emma      | Johnson  | 2023-08-05 | Marketing
+6          | Lisa      | Wilson   | 2023-05-18 | IT
+```
+
+This query retrieves all employees hired during the year 2023, useful for analyzing hiring patterns and new employee onboarding.
+
+## Frequently Asked Questions
+
+### 1. Is SQL `BETWEEN` inclusive or exclusive?
+
+The SQL `BETWEEN` operator is inclusive, meaning it includes both the starting and ending values in the result set. For example, `WHERE Age BETWEEN 25 AND 35` will return records where Age equals 25, 35, and any value in between.
+
+### 2. What is the function of `BETWEEN`?
+
+The `BETWEEN` operator functions as a shorthand for range comparisons, replacing the need to write `WHERE column >= value1 AND column <= value2`. It simplifies queries by providing a more readable way to filter data within specific ranges for numeric, text, and date values.
+
+### Why is SQL `BETWEEN` operator used?
+
+The `BETWEEN` operator is used because it improves query readability and reduces syntax complexity when filtering data within ranges. It's particularly valuable for date ranges, price filtering, age groups, and alphabetical sorting, making SQL queries more intuitive and maintainable for developers and analysts.

From 4ea22fb24ed0cf72758e544caa1329d6631babc7 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 12 Aug 2025 22:24:36 +0530
Subject: [PATCH 096/332] [Edit]: Js Arrays `.reduce()` (#7405)

* [Edit]: Js Arrays `.reduce()`

* Update content/javascript/concepts/arrays/terms/reduce/reduce.md

* Update content/javascript/concepts/arrays/terms/reduce/reduce.md

* Update content/javascript/concepts/arrays/terms/reduce/reduce.md

---------
---
 .../concepts/arrays/terms/reduce/reduce.md    | 120 ++++++++++++------
 1 file changed, 78 insertions(+), 42 deletions(-)

diff --git a/content/javascript/concepts/arrays/terms/reduce/reduce.md b/content/javascript/concepts/arrays/terms/reduce/reduce.md
index cb4edefc628..abccf91d113 100644
--- a/content/javascript/concepts/arrays/terms/reduce/reduce.md
+++ b/content/javascript/concepts/arrays/terms/reduce/reduce.md
@@ -1,82 +1,118 @@
 ---
 Title: '.reduce()'
-Description: 'Combines each element of an array, using a specified reducer function, and returns a single value.'
+Description: 'Executes a reducer function on each element of an array, resulting in a single output value.'
 Subjects:
-  - 'Web Development'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
   - 'Arrays'
   - 'Functions'
   - 'Methods'
+  - 'JavaScript'
 CatalogContent:
   - 'introduction-to-javascript'
   - 'paths/front-end-engineer-career-path'
 ---
 
-The **`.reduce()`** method combines each element of an array, using a specified reducer function, and returns a single value.
+JavaScript's **`.reduce()`** method is an array method that executes a reducer [function](https://www.codecademy.com/resources/docs/javascript/functions) on each element of an [array](https://www.codecademy.com/resources/docs/javascript/arrays), resulting in a single output value. It processes elements from left to right and accumulates values into a single result, making it ideal for operations like calculating sums, finding maximum values, or transforming arrays into objects.
 
-## Syntax
+## Syntax of JavaScript's `reduce()`
 
 ```pseudo
-array.reduce((accumulator, currentValue, index, array) => {...}, initialValue)
+array.reduce(callback, initialValue)
 ```
 
-`.reduce()` takes two arguments:
+**Parameters:**
+
+- `callback`: A function that executes on each element in the array. It receives four arguments:
+  - `accumulator`: The accumulated value previously returned in the last invocation of the callback
+  - `currentValue`: The current element being processed in the array
+  - `currentIndex` (optional): The index of the current element being processed
+  - `array` (optional): The array reduce was called upon
+- `initialValue` (optional): A value to use as the first argument to the first call of the callback
 
-- The first, is the reducer function that performs the reduction operation and takes four arguments:
-  - `accumulator` is the returned value from the function.
-  - `currentValue` is the element being iterated over.
-  - `index` (optional) is the index of the `currentValue`.
-  - `array` (optional) is the array the `.reduce()` was called on.
-- The second (optional) argument is an `initialValue` to pass to the function.
+**Return value:**
 
-The `accumulator`'s value accumulates with each iteration through the array, resulting in a single value.
+JavaScript's `.reduce()` method returns the single value that results from running the reducer function to completion over the entire array.
 
-## Example
+## Example 1: `array.reduce()` for Basic Sum Calculation
+
+This example demonstrates how `array.reduce` can calculate the sum of all numbers in an array:
 
 ```js
-const arrayOne = ['a', 'b', 'c', 'd', 'e'];
+const numbers = [1, 2, 3, 4, 5];
+
+// Use reduce to calculate the sum
+const sum = numbers.reduce((accumulator, currentValue) => {
+  return accumulator + currentValue;
+}, 0);
 
-// Add strings in an array.
-console.log(
-  'Adding strings:',
-  arrayOne.reduce((acc, curr) => acc + curr)
-);
+console.log(sum);
+```
+
+This example results in the following output:
+
+```shell
+15
+```
 
-// Add the values of each element together with an initial value.
-const arrayTwo = ['b', 'c', 'd', 'e'];
+The callback function adds each `currentValue` to the `accumulator`, starting with an initial value of 0.
 
-console.log(
-  'Adding with initial value:',
-  arrayTwo.reduce((acc, curr) => acc + curr, 'a')
-);
+## Example 2: Using `array.reduce()` to Calulate Shopping Cart Total
 
-// Add the values of each object inside an array.
-const arrayThree = [{ x: 1 }, { x: 2 }, { x: 4 }];
+This example shows how `.reduce()` in JavaScript can calculate the total price of items in a shopping cart, a common real-world scenario:
 
-console.log(
-  'Adding object values:',
-  arrayThree.reduce((acc, curr) => acc + curr.x, 0)
-);
+```js
+const cartItems = [
+  { name: 'Laptop', price: 999.99 },
+  { name: 'Mouse', price: 25.5 },
+  { name: 'Keyboard', price: 75.0 },
+];
+
+// Calculate total price using reduce
+const totalPrice = cartItems.reduce((total, item) => {
+  return total + item.price;
+}, 0);
+
+console.log(`Total cart value: $${totalPrice.toFixed(2)}`);
 ```
 
-This will yield the following output:
+This example results in the following output:
 
 ```shell
-Adding strings: abcde
-Adding with initial value: abcde
-Adding object values: 7
+Total cart value: $1100.49
 ```
 
-## Codebyte Example
+This demonstrates how `.reduce()` in arrays can work with objects to extract and sum specific properties.
+
+## Codebyte Example: `array.reduce()` for Finding Maximum Value
 
-The following example uses `.reduce()` to subtract numbers in an `expenses` array from the initial `monthlyBudget` provided:
+This example illustrates using the `reduce()` array method to find the largest number in an array without using `Math.max()`:
 
 ```codebyte/javascript
-const monthlyBudget = 3000;
-const expenses = [300, 200, 454, 225, 1200];
+const scores = [85, 92, 78, 96, 88, 91];
 
-bankBalance = expenses.reduce((acc, curr) => acc - curr, monthlyBudget);
+// Find the highest score using reduce
+const highestScore = scores.reduce((max, current) => {
+  // Return the larger of the two values
+  return current > max ? current : max;
+});
 
-console.log(bankBalance);
+console.log(`Highest score: ${highestScore}`);
 ```
+
+Note that when no `initialValue` is provided, the first array element becomes the initial `accumulator` value, and iteration starts from the second element.
+
+## Frequently Asked Questions
+
+### 1. What does `array.reduce()` do in JS?
+
+The `array.reduce()` method in JavaScript processes each element of an array through a callback function, accumulating the results into a single value. It's commonly used for mathematical operations, data transformation, and aggregating array contents.
+
+### 2. Can `.reduce()` return array?
+
+Yes, JavaScript's `.reduce()` method can return an array. The return type depends on what you accumulate in the callback function. You can use reduce to filter, transform, or restructure arrays by returning array values from the reducer function.
+
+### 3. Does `.reduce()` have an index?
+
+Yes, the `.reduce()` JavaScript method provides access to the current index through the third parameter of the callback function (`currentIndex`). This optional parameter contains the index of the element currently being processed, starting from 0 or 1 depending on whether an initial value is provided.

From 8d4ec14d83617b044085eceec05b95e94f63c5b9 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Wed, 13 Aug 2025 14:50:00 +0530
Subject: [PATCH 097/332] [Edit] Python:NumPy: .std() (#7446)

* [Edit] Python:NumPy: .std()

* updated faqs based on PAA

---------
---
 .../built-in-functions/terms/std/std.md       | 108 ++++++++++--------
 1 file changed, 62 insertions(+), 46 deletions(-)

diff --git a/content/numpy/concepts/built-in-functions/terms/std/std.md b/content/numpy/concepts/built-in-functions/terms/std/std.md
index 5ecaea60be6..5b1dcc2acee 100644
--- a/content/numpy/concepts/built-in-functions/terms/std/std.md
+++ b/content/numpy/concepts/built-in-functions/terms/std/std.md
@@ -13,90 +13,106 @@ CatalogContent:
   - 'paths/data-science'
 ---
 
-The **`.std()`** function calculates the standard deviation of given data along a specified axis. A standard deviation is a statistical measure indicating the spread of a distribution of data, represented by an array, along a specified axis.
+The NumPy **`.std()`** function calculates the NumPy standard deviation of given data along a specified axis. Standard deviation is a statistical measure that indicates how spread out the values in a dataset are, represented by an array, along a specified axis.
 
-## Syntax
+## NumPy `.std()` Syntax
 
 ```pseudo
-numpy.std(a, axis, dtype, out, ddof, keepdims, where)
+np.std(a, axis, dtype, out, ddof, keepdims, where)
 ```
 
-- `a`: Array of elements used to find the standard deviation.
+**Parameters:**
 
-### Optional Parameters
+- `a`: [Array](https://www.codecademy.com/resources/docs/numpy/ndarray) of elements used to find the standard deviation.
+- `axis`(Optional): The axis along which the standard deviation will be computed. By default, the array is flattened before computation.
+  - If `0`, calculates the standard deviation along the vertical axis.
+  - If `1`, calculates the standard deviation along the horizontal axis.
+  - If a tuple of integers, calculates the standard deviation along multiple specified axes.
+- `dtype` (Optional): Type used in computing the standard deviation, if specified. By default, for arrays of integer type, it is float64, while for arrays of float types, it matches the array type.
+- `out` (Optional): Specifies an alternative output array to contain the result. This array must have the same shape as the expected output.
+- `ddof` (Optional): It stands for _Delta Degrees of Freedom_. It helps adjust the calculation of standard deviation for samples.
+- `keepdims` (Optional): It accepts a boolean value and is used to determine whether to retain the dimensions of the given array in the output. By default, it is set to `False`.
+- `where` (Optional): It accepts boolean arrays or conditions where `True` values indicate the indices, or elements within the array for which the standard deviation should be calculated.
 
-- `axis`: Specifies the axis along which the standard deviation will be computed. By default, the array is flattened before computation.
+**Return value:**
 
-  - **axis = 0**: Calculates the standard deviation along the vertical axis.
+If the `out` parameter is `None`, the NumPy `.std()` function returns a new array containing the standard deviation. Otherwise, it assigns the result to the specified output array and returns its reference.
 
-  - **axis = 1**: Calculates the standard deviation along the horizontal axis.
+> **Notes:**
+>
+> 1. For floating-point inputs, the standard deviation is calculated with the same precision as the input data. This may cause inaccuracies, especially with `np.float32` data type.
+> 2. For complex numbers, `std` takes the absolute value before squaring for a real, non-negative result.
 
-  - **tuple of ints**: Calculates the standard deviation along multiple specified axes.
+## Example 1: Basic Usage of NumPy `.std()`
 
-- `dtype`: Type used in computing the standard deviation, if specified. By default, for arrays of integer type, it is float64, while for arrays of float types, it matches the array type.
+In this example, the NumPy `.std()` function calculates the standard deviation of the given data:
 
-  > **Note** For floating-point inputs, the standard deviation is calculated with the same precision as the input data. This may cause inaccuracies, especially with `np.float32` data type.
-
-- `out`: Specifies an alternative output array to contain the result. This array must have the same shape as the expected output.
+```py
+import numpy as np
 
-- `ddof`: It stands for _Delta Degrees of Freedom_. It helps adjust the calculation of standard deviation for samples.
+data = [10, 13, 23, 23, 16, 23, 21, 16]
 
-- `keepdims`: It accepts a boolean value and is used to determine whether to retain the dimensions of the input array in the output. By default, it is set to `False`.
+std_dev = np.std(data)
 
-- `where`: It accepts boolean arrays or conditions where `True` values indicate the indices, or elements within the array for which the standard deviation should be calculated.
+print("Standard Deviation:", std_dev)
+```
 
-If the `out` parameter is `None`, the `.std()` function returns a new array containing the standard deviation. Otherwise, it assigns the result to the specified output array and returns its reference.
+The output of this code is:
 
-> **Note** For complex numbers, `std` takes the absolute value before squaring for a real, nonnegative result.
+```shell
+Standard Deviation: 4.7549316504025585
+```
 
-## Example
+## Example 2: Using NumPy `.std()` with `axis`
 
-The following examples demonstrate the use of `.std()` with different parameters.
+In this example, the `axis` parameter is used with the NumPy `.std()` function to calculate the standard deviation of the given data:
 
 ```py
 import numpy as np
 
-arr = np.array([23, 54, 19, 45, 34])
+arr = np.array([[1, 2, 3],
+                [4, 5, 6]])
 
-print("arr : ", arr)
+col_std = np.std(arr, axis=0)
+row_std = np.std(arr, axis=1)
 
-print("\nStandard deviation of arr : ", np.std(arr))
+print("Column-wise STD:", col_std)
+print("Row-wise STD:", row_std)
+```
 
-print("\nStandard deviation of arr (float32) : ", np.std(arr, dtype=np.float32))
+The output of this code is:
 
-print("\nStandard deviation of arr (float64) : ", np.std(arr, dtype=np.float64))
+```shell
+Column-wise STD: [1.5 1.5 1.5]
+Row-wise STD: [0.81649658 0.81649658]
 ```
 
-Given below is the output for the above code block:
+## Codebyte Example: Using NumPy `.std()` with `ddof`
 
-```shell
-arr :  [23, 54, 19, 45, 34]
+In this codebyte example, the `ddof` parameter is used with the NumPy `.std()` function to calculate the standard deviation of the given data:
+
+```codebyte/python
+import numpy as np
 
-Standard deviation of arr : 13.130118049735882
+data = [10, 13, 23, 23, 16, 23, 21, 16]
 
-Standard deviation of arr (float32) : 13.130117
+pop_std = np.std(data)
+sample_std = np.std(data, ddof=1)
 
-Standard deviation of arr (float64) : 13.130118049735882
+print("Population STD:", pop_std)
+print("Sample STD:", sample_std)
 ```
 
-## Codebyte Example
+## Frequently Asked Questions
 
-Run the below codebyte to better understand the `.std()` function:
+### 1. What is the difference between NumPy `.std()` and `stdev()`?
 
-```codebyte/python
-import numpy as np
+NumPy `.std()` works on NumPy arrays and is optimized for performance, supporting multi-dimensional data and the `axis` parameter. Python’s built-in `statistics.stdev()` works on standard Python iterables, calculates the **sample** standard deviation by default, and doesn’t support multi-dimensional arrays or the `axis` argument.
 
-arr = [[8, 8, 8, 8, 8],
-       [15, 10, 32, 9, 8],
-       [27, 6, 63, 4, 8, ],
-       [23, 54, 41, 9, 8]]
+### 2. Is NumPy `.std()` population or sample?
 
-# flattened array
-print("\nStandard deviation of arr, when axis = None : ", np.std(arr))
+By default, NumPy `.std()` calculates the **population** standard deviation (`ddof=0`). To compute the sample standard deviation, set `ddof=1`.
 
-# along the axis = 0
-print("\nStandard deviation of arr, when axis = 0 : ", np.std(arr, axis = 0))
+### 3. What is the difference between NumPy `.std()` and Pandas `.std()`?
 
-# along the axis = 1
-print("\nStandard deviation of arr, when axis = 1 : ", np.std(arr, axis = 1))
-```
+NumPy `.std()` calculates standard deviation on NumPy arrays and defaults to population standard deviation (`ddof=0`). Pandas `.std()` works on Series and DataFrame objects, automatically excludes `NaN` values, and defaults to the sample standard deviation (`ddof=1`).

From 97638c5ff518cfe79c7d6cc86100ddfe98a918f2 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Wed, 13 Aug 2025 15:33:30 +0530
Subject: [PATCH 098/332] [Edit] Python: .sort() (#7448)

* [Edit] Python: .sort()

* updated faqs based on PAA

---------
---
 .../python/concepts/lists/terms/sort/sort.md  | 95 +++++++++++++++----
 1 file changed, 76 insertions(+), 19 deletions(-)

diff --git a/content/python/concepts/lists/terms/sort/sort.md b/content/python/concepts/lists/terms/sort/sort.md
index 23f290128cc..97e3011cd64 100644
--- a/content/python/concepts/lists/terms/sort/sort.md
+++ b/content/python/concepts/lists/terms/sort/sort.md
@@ -1,49 +1,106 @@
 ---
 Title: '.sort()'
-Description: 'Sorts the contents of the list it is called on.'
+Description: 'Sorts the elements of a list in ascending or descending order.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Data Science'
 Tags:
+  - 'Elements'
   - 'Lists'
   - 'Methods'
+  - 'Python'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/data-science'
-  - 'paths/computer-science'
 ---
 
-The `.sort()` method sorts the contents of the list it is called on.
+The Python **`.sort()`** method is used to sort list elements in ascending or descending order. It modifies the original list instead of returning a new one, making it a fast and memory-efficient operation for in-place sorting.
+
+## Python `.sort()` Syntax
+
+```pseudo
+list.sort(key=None, reverse=False)
+```
+
+**Parameters:**
+
+- `key` (Optional): A [function](https://www.codecademy.com/resources/docs/python/functions) that acts as a sorting key.
+- `reverse` (Optional): A boolean value. If `True`, the list is sorted in descending order.
+
+**Return value:**
 
-## Syntax
+Returns `None` because the sorting happens in place.
+
+## Example 1: Sorting Numbers Using Python `.sort()`
+
+This example uses Python `.sort()` to sort the `numbers` list in ascending and descending order:
 
 ```py
-list.sort()
+numbers = [5, 2, 9, 1, 7]
+
+numbers.sort()
+print("Ascending:", numbers)
+
+numbers.sort(reverse=True)
+print("Descending:", numbers)
 ```
 
-Numerical lists will be sorted in ascending order, and lists of strings will be sorted into alphabetical order. It modifies the original list, and has no return value.
+Here is the output:
 
-## Example
+```shell
+Ascending: [1, 2, 5, 7, 9]
+Descending: [9, 7, 5, 2, 1]
+```
+
+## Example 2: Sorting Strings Using Python `.sort()`
 
-To sort a list called `exampleList`:
+This example uses Python `.sort()` to sort a list of [strings](https://www.codecademy.com/resources/docs/python/strings) in alphabetical order:
 
-```python
-name = ['c', 'h', 'l', 'o', 'e']
+```py
+fruits = ["apple", "banana", "cherry", "date"]
 
-name.sort()
+fruits.sort()
 
-print(name)
-# Output: ['c', 'e', 'h', 'l', 'o']
+print(fruits)
 ```
 
-## Codebyte Example
+Here is the output:
 
-To sort a list called `exampleList`:
+```shell
+['apple', 'banana', 'cherry', 'date']
+```
+
+## Codebyte Example: Using Python `.sort()` with a Custom Key
+
+This codebyte example uses Python `.sort()` with a custom key to sort a list of strings. The `key` parameter is set to `len`, so the list is sorted by word length instead of alphabetical order:
 
 ```codebyte/python
-exampleList = [4, 2, 1, 3]
+words = ["Python", "is", "amazing", "AI"]
 
-exampleList.sort()
+words.sort(key=len)
 
-print(exampleList)
+print(words)
 ```
+
+## Frequently Asked Questions
+
+### 1. What does `list.sort()` return in Python?
+
+The `list.sort()` method returns `None` because it sorts the list **in place**, modifying the original list rather than creating a new one.
+
+### 2. Why is `sort()` returning `None`?
+
+`sort()` always returns `None` to signal that the original list has been modified directly. If you need a new sorted list without changing the original, use the `sorted()` function instead.
+
+### 3. When you use `sort()` does it permanently change the list?
+
+Yes, `sort()` permanently changes the order of elements in the list. The original order is lost unless you make a copy before sorting.
+
+### 4. How to sort a list without using the `sort()` function?
+
+You can use the built-in `sorted()` function to return a new sorted list, or implement custom sorting logic such as bubble sort, selection sort, or quicksort.
+
+### 5. What is the difference between the `sort()` method and the `sorted()` function?
+
+- `sort()` is a method available only to lists, sorts in place, and returns `None`.
+- `sorted()` is a built-in function that works with any iterable, returns a new sorted list, and leaves the original data unchanged.

From e021ac95cdb582daf07cb269a2ac13091bc215eb Mon Sep 17 00:00:00 2001
From: Prankisster <92308896+Prankisster@users.noreply.github.com>
Date: Wed, 13 Aug 2025 19:59:55 +0530
Subject: [PATCH 099/332] Add term entry for Single Inheritance in Python
 (#7096)

* docs: add term entry for Single Inheritance in Python

This commit adds a new term entry under `content/python/concepts/inheritance/terms/single-inheritance/`.
It includes:
- Metadata and SEO-optimized description
- Definition with clear examples
- Syntax section
- Visual diagram for understanding
- A runnable Codebyte in Python
- Cross-links to related concepts

Closes #7078

* updated with requested changes

* fixing indentation

* minor changes

* format fix

---------
---
 .../single-inheritance/single-inheritance.md  | 109 ++++++++++++++++++
 1 file changed, 109 insertions(+)
 create mode 100644 content/python/concepts/inheritance/terms/single-inheritance/single-inheritance.md

diff --git a/content/python/concepts/inheritance/terms/single-inheritance/single-inheritance.md b/content/python/concepts/inheritance/terms/single-inheritance/single-inheritance.md
new file mode 100644
index 00000000000..5f0b7fb6f8e
--- /dev/null
+++ b/content/python/concepts/inheritance/terms/single-inheritance/single-inheritance.md
@@ -0,0 +1,109 @@
+---
+Title: 'Single Inheritance'
+Description: 'Single inheritance allows a class to derive behavior and attributes from one parent class only.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Classes'
+  - 'Inheritance'
+  - 'OOP'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**Single inheritance** is a foundational principle in object-oriented programming (OOP), where a class (called the child or subclass) inherits its behaviour and structure from a single parent class (or superclass). This promotes code reusability and maintains a clear logical hierarchy.
+
+In Python, single inheritance is implemented by defining the subclass with the parent class name in parentheses. This enables the child class to use, override, or extend the methods and attributes of its parent.
+
+## Syntax
+
+```pseudo
+class ParentClass:
+  # Methods and attributes of the parent class
+
+class ChildClass(ParentClass):
+  # Inherits from ParentClass
+  # Can override or add new functionality
+```
+
+- `ParentClass`: The class inherited from (also known as superclass or base class).
+- `ChildClass`: The class that inherits from the parent class (also known as the subclass or the derived class).
+
+The `ParentClass` is passed inside parentheses when defining the `ChildClass`.
+
+## Example
+
+This example demonstrates single inheritance where the `Dog` class inherits from `Animal` and overrides the `speak()` method to customize behavior:
+
+```py
+class Animal:
+  def speak(self):
+    return "Makes a sound"
+
+class Dog(Animal):
+  def speak(self):
+    return "Barks"
+
+a = Animal()
+d = Dog()
+
+print(a.speak())
+print(d.speak())
+```
+
+Here's the output:
+
+```shell
+Makes a sound
+Barks
+```
+
+### Explanation
+
+- `Dog` inherits from the `Animal` class.
+- Both define a `speak()` method, but `Dog` overrides it to provide a more specific output.
+- This demonstrates how subclasses can customise inherited behaviour.
+
+```codebyte/python
+class Vehicle:
+  def start_engine(self):
+    return "Engine started"
+
+class Car(Vehicle):
+  def drive(self):
+    return "Car is driving"
+
+my_car = Car()
+
+print(my_car.start_engine())
+print(my_car.drive())
+```
+
+## Diagram
+
+Visual structure of single inheritance:
+
+```
++-------------+
+|  Vehicle    |
+|-------------|
+| start_engine|
++------+------+
+       |
+       ▼
++-------------+
+|    Car      |
+|-------------|
+|   drive     |
++-------------+
+```
+
+### Advantages of Single Inheritance
+
+- **Reusability**: Shared logic lives in the parent class and can be used across multiple child classes.
+- **Modularity**: Logical separation of generic and specific behaviours.
+- **Simplicity**: Easier to trace inheritance paths and maintain codebases.
+
+> Use single inheritance when the subclass is a specialised form of the parent and there’s no need to inherit from multiple sources.

From 559862d2bac491f039948e49baabd00850b443b1 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 15 Aug 2025 12:00:45 +0530
Subject: [PATCH 100/332] [Edit] SQL: SUBSTRING() (#7473)

* [Edit] SQL: SUBSTRING()

* updated an faq and some content tweaks to add keywords

---------
---
 .../terms/substring/substring.md              | 101 ++++++++++++++++--
 1 file changed, 94 insertions(+), 7 deletions(-)

diff --git a/content/sql/concepts/string-function/terms/substring/substring.md b/content/sql/concepts/string-function/terms/substring/substring.md
index 4e28a45997f..b76a15fa086 100644
--- a/content/sql/concepts/string-function/terms/substring/substring.md
+++ b/content/sql/concepts/string-function/terms/substring/substring.md
@@ -1,6 +1,6 @@
 ---
 Title: 'SUBSTRING()'
-Description: 'Extracts a part of a string.'
+Description: 'Extracts a portion of a string starting from a specified position.'
 Subjects:
   - 'Data Science'
   - 'Data Visualization'
@@ -16,28 +16,115 @@ CatalogContent:
 
 In SQL, the **`SUBSTRING()`** function takes a slice from a string containing data in binary, character, text, or image format. Upon extraction, the [`SELECT`](https://www.codecademy.com/resources/docs/sql/commands/select) statement can be used to select and manipulate the extracted substring according to the [data type](https://www.codecademy.com/resources/docs/sql/data-types). The data type is the same as the original string except for the next expressions.
 
-## Syntax
+## SQL `SUBSTRING()` Syntax
 
 ```pseudo
 SUBSTRING(string, start, length)
 ```
 
+**Parameters:**
+
 - `string`: The string to extract a substring from.
-- `start`: The `string` index from which the substring starts. The minimum possible value is 1.
+- `start`: The `string` index from which the substring starts. The minimum possible value is `1`.
 - `length`: The number of characters to extract from `string`.
 
-> Note: Not all services support this function. Oracle and SQLite use `SUBSTR()` to accomplish the same goal.
+**Return value:**
+
+Returns a substring of the original string. If `length` exceeds the remaining characters, the result contains everything from `start` to the end of the string.
+
+> **Note:** Not all services support this function. Oracle and SQLite use `SUBSTR()` to accomplish the same goal.
 
-## Example
+## Example 1: Using `SUBSTRING()` on a String Literal
 
-The below example shows how to use `SUBSTRING()`:
+This query uses `SUBSTRING()` on a string literal:
 
 ```sql
 SELECT SUBSTRING('Codecademy', 1, 4) AS ExtractString;
 ```
 
-The code above generates the following output:
+Here is the output:
 
 | ExtractString |
 | ------------- |
 | Code          |
+
+## Example 2: Using `SUBSTRING()` on a Table Column
+
+Suppose we have a table named `Employees`:
+
+| EmployeeID | FullName      |
+| ---------- | ------------- |
+| 1          | John Carter   |
+| 2          | Alice Johnson |
+| 3          | Michael Brown |
+
+This query uses `SUBSTRING()` on the `FullName` column of the `Employees` table:
+
+```sql
+SELECT FullName, SUBSTRING(FullName, 1, 4) AS FirstFourChars
+FROM Employees;
+```
+
+Here is the output:
+
+| FullName      | FirstFourChars |
+| ------------- | -------------- |
+| John Carter   | John           |
+| Alice Johnson | Alic           |
+| Michael Brown | Mich           |
+
+## Example 3: Extracting Domain from an Email Using `SUBSTRING()`
+
+Suppose we have a table `Users`:
+
+| UserID | Email             |
+| ------ | ----------------- |
+| 1      | mark@example.com  |
+| 2      | sarah@company.org |
+| 3      | david@mysite.net  |
+
+This query uses `SUBSTRING()` to extract the domains from the emails in the `Email` column of the `Users` table:
+
+```sql
+SELECT Email, SUBSTRING(Email, CHARINDEX('@', Email) + 1, LEN(Email)) AS Domain
+FROM Users;
+```
+
+Here is the output:
+
+| Email             | Domain      |
+| ----------------- | ----------- |
+| mark@example.com  | example.com |
+| sarah@company.org | company.org |
+| david@mysite.net  | mysite.net  |
+
+## Frequently Asked Questions
+
+### 1. What is `SUBSTRING()` in SQL?
+
+`SUBSTRING()` returns part of a string, starting at a specified character position, for a given length.
+
+### 2. How do `SUBSTRING()` and `SUBSTR()` differ?
+
+- `SUBSTRING()`: Standard SQL function, supported by many databases.
+- `SUBSTR()`: Common in Oracle and some versions of MySQL, with similar functionality but slightly different parameter handling.
+
+### 3. How to extract a substring from a string in SQL?
+
+In MySQL, you can use either `SUBSTRING()` or `SUBSTR()`, they work the same way:
+
+```sql
+SELECT SUBSTRING('Hello World', 7, 5) AS Result;
+```
+
+Or,
+
+```sql
+SELECT SUBSTR('Hello World', 7, 5) AS Result;
+```
+
+Here is the output:
+
+| Result |
+| ------ |
+| World  |

From b51d30f694078741c04a35b06b762d93bbe23934 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 15 Aug 2025 15:58:42 +0530
Subject: [PATCH 101/332] [Edit] Git: Merge (#7467)

---
 content/git/concepts/merge/merge.md | 150 ++++++++++++++++++++++++----
 1 file changed, 129 insertions(+), 21 deletions(-)

diff --git a/content/git/concepts/merge/merge.md b/content/git/concepts/merge/merge.md
index b42fd390c55..1f95de86d65 100644
--- a/content/git/concepts/merge/merge.md
+++ b/content/git/concepts/merge/merge.md
@@ -1,55 +1,163 @@
 ---
 Title: 'Merge'
-Description: 'Merging allows a user to apply all changes from one branch to another when the work is completed.'
+Description: 'Allows a user to apply all changes from one branch to another without losing commit history.'
 Subjects:
   - 'Bash/Shell'
   - 'Developer Tools'
 Tags:
+  - 'Bash/Shell'
   - 'Git'
   - 'GitHub'
+  - 'Version Control'
 CatalogContent:
   - 'learn-git'
   - 'learn-the-command-line'
 ---
 
-In Git, completed changes made to a [branch](https://www.codecademy.com/resources/docs/git/branch) can be merged to the `main` branch. When collaborating on a remote repository, a [pull request](https://www.codecademy.com/resources/docs/git/pull-requests) will need to be opened in order to do this. Anyone with push access to the repository can complete the merge.
+The **`git merge`** command allows a user to apply all changes from one [branch](https://www.codecademy.com/resources/docs/git/branch) to another without losing [commit](https://www.codecademy.com/resources/docs/git/commit) history. Whether it is [merging](https://www.codecademy.com/resources/docs/git/merge) a feature branch into the main branch or integrating updates from a teammate, `git merge` ensures that project changes are combined in an organized manner.
+
+## Git Merge Syntax
+
+```pseudo
+git merge <branch-name>
+```
+
+Here, `<branch-name>` is the name of the branch whose changes are to be merged into the current branch.
+
+**Common optional flags:**
+
+- `--no-ff`: Creates a merge commit even if a fast-forward merge is possible. Keeps branch history explicit.
+- `--squash`: Combines all commits from the branch being merged into a single commit. Useful for keeping history cleaner.
+- `--abort`: Aborts a merge in progress and restores the branch to its pre-merge state.
+
+## How Git Merge Works
+
+The primary goal of `git merge` is to combine the histories of two branches in a way that preserves the integrity of all changes. To understand this process better, it helps to know what Git is doing behind the scenes.
+
+### Step 1: Identifying the Branches Involved
+
+Suppose you are on the `main` branch and want to merge changes from `feature-branch` into it. Git starts by identifying:
+
+- The current branch (where you want to apply the changes) — here, `main`.
+- The branch to merge — here, `feature-branch`.
+
+### Step 2: Finding the Merge Base
+
+In the next step, Git finds the merge base. The merge base is essentially the last commit from which both branches diverged. It acts as a reference point so Git can compare what changed on each branch since then.
+
+### Step 3: Determining the Merge Strategy
+
+Git chooses a merge strategy depending on the relationship between the current branch, the branch being merged, and their histories.
+
+Strategy 1: Fast-Forward Merge
+
+If the current branch (`main`) has no new commits after the merge base, Git can just "fast-forward" the branch pointer forward to the tip of `feature-branch`.
+
+No new commit is created here, and the history remains linear.
+
+Strategy 2: 3-Way Merge
+
+If both branches have diverged — meaning commits exist on both `main` and `feature-branch` since the merge base — Git performs a 3-way merge.
+
+Git compares:
+
+- The merge base commit
+- The HEAD of the current branch
+- The HEAD of the branch being merged
+
+Using these three points, Git figures out how the changes from each branch can be combined.
+
+It then creates a new commit called a merge commit that has two parent commits representing the integration of both histories.
+
+### Step 4: Applying Changes and Updating History
+
+During the merge process, Git:
+
+- Applies changes introduced by commits on the branch being merged that don’t exist on the current branch.
+- Preserves the commits and history of both branches.
+- Updates the current branch pointer to the new commit (either fast-forward or merge commit).
+
+## Example: Using Git Merge
+
+Let’s walk through a practical example to see how `git merge` works in action.
+
+**Scenario:**
+
+You are working on a project with two branches:
+
+- `main`: The stable production branch.
+- `feature-login`: A branch where you developed a new login feature.
+
+You want to merge the `feature-login` branch into `main`. To do so, follow these steps:
+
+Step 1: Switch to the target branch (`main`)
+
+```shell
+git switch main
+```
+
+Step 2: Retrieve the latest changes from the [remote repository](https://www.codecademy.com/resources/docs/git/remotes) (`origin`) and update your local `main`
+
+```shell
+git pull origin main
+```
+
+Step 3: Merge the `feature-login` branch into `main`
+
+```shell
+git merge feature-login
+```
+
+## Merge Conflicts
+
+Sometimes, Git can’t automatically combine changes, especially when both branches modify the same lines of a file. This results in a merge conflict.
+
+To resolve:
+
+Step 1: Open the conflicting file(s) and decide how to combine changes
 
-## Git Command
+Step 2: Remove conflict markers (`<<<<<<<`, `=======`, `>>>>>>>`)
 
-To merge a branch into the local `main` branch:
+Step 3: Stage the resolved file(s)
 
 ```shell
-git checkout main     # Switch to the main branch
-git merge branch_name
+git add <file>
 ```
 
-For example, the following merges a branch called `feature_test` branch to the `main` branch:
+Step 4: Commit the merge
 
 ```shell
-git checkout main
-git merge feature_test
+git commit
 ```
 
-## Merging a Pull Request on GitHub
+## Best Practices for Using Git Merge
 
-> _For information on how to open a pull request, see the [Pull Requests](https://www.codecademy.com/resources/docs/git/pull-requests) section._
+- Pull latest changes before merging to avoid outdated merges.
+- Use descriptive branch names for clarity in commit history.
+- Test your code after merging to catch any integration issues early.
+- Consider `--no-ff` to always create a merge commit for better history tracking.
 
-1. On the GitHub repository page, click the "Pull requests" tab at the top.
+## Frequently Asked Questions
 
-2. In the "Pull Requests" list, choose the pull request that you'd like to merge.
+### 1. What is a 3-way merge?
 
-3. Depending on the merge options enabled for your repository, you can:
+A 3-way merge occurs when Git uses:
 
-   - Merge all the commits into the base branch by clicking **Merge pull request**. If the **Merge pull request** option is not shown, then click the merge drop down menu and select **Create a merge commit**.
+- The latest commit of the current branch (HEAD)
+- The latest commit of the branch to be merged
+- Their common ancestor
 
-   - Squash the commits into one commit by clicking the merge drop down menu, selecting **Squash and merge** and then clicking the **Squash and merge** button.
+Git compares all three to create a new merge commit that combines the changes.
 
-   - Rebase the commits individually onto the base branch by clicking the merge drop down menu, selecting **Rebase and merge** and then clicking the **Rebase and merge** button.
+### 2. What is `git merge` vs `git pull`?
 
-4. If prompted, type a commit message, or accept the default commit message.
+- `git merge` incorporates changes from one branch into your current branch (local operation).
+- `git pull` retrieves changes from a remote and then merges them into the current branch (remote + merge in one step).
 
-5. If you have more than one email address associated with your GitHub account, click the email address drop-down menu and select the email address to use as the Git author email address. Only verified email addresses appear in this drop-down menu. If you enabled email address privacy, then `<username>@users.noreply.github.com` is the default commit author email address.
+### 3. When should I use `git merge`?
 
-6. Click **Confirm merge**, **Confirm squash and merge**, or **Confirm rebase and merge**.
+Use `git merge` when you:
 
-7. (Optional) Last but not the least, delete the feature branch. This keeps the list of branches in your repository nice and tidy.
+- Want to combine changes from a completed feature branch into the main branch.
+- Need to integrate teammate changes into your branch without overwriting your own work.
+- Prefer to keep commit history intact instead of rewriting it (as in `git rebase`).

From 3ebe63ed32b42488da570ce10451f0ed1ae0e6f4 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Mon, 18 Aug 2025 22:26:01 +0530
Subject: [PATCH 102/332] [Edit]: SQL Comments (#7406)

* [Edit]: SQL Comments

* Minor change

* Update content/sql/concepts/comments/comments.md

* Update content/sql/concepts/comments/comments.md

* Update content/sql/concepts/comments/comments.md

---------
---
 content/sql/concepts/comments/comments.md | 120 +++++++++++++++++-----
 1 file changed, 92 insertions(+), 28 deletions(-)

diff --git a/content/sql/concepts/comments/comments.md b/content/sql/concepts/comments/comments.md
index d7d0112cab5..974ed420298 100644
--- a/content/sql/concepts/comments/comments.md
+++ b/content/sql/concepts/comments/comments.md
@@ -1,65 +1,129 @@
 ---
 Title: 'Comments'
-Description: 'A comment is a piece of text within a program that is not executed. It can be used to provide additional information to aid in understanding the code, or to prevent execution of SQL statements. Single line comments start with --. Any text between -- and the end of the line will be ignored (will not be executed). The following example uses a single-line comment as an explanation: sql -- Select all: SELECT * FROM customers;'
+Description: 'Annotations in SQL code that provide explanations or documentation without affecting query execution.'
 Subjects:
-  - 'Computer Science'
   - 'Data Science'
+  - 'Web Development'
 Tags:
   - 'Comments'
   - 'Documentation'
+  - 'SQL'
+  - 'Syntax'
 CatalogContent:
   - 'learn-sql'
   - 'paths/analyze-data-with-sql'
 ---
 
-A comment is a piece of text within a program that is not executed. It can be used to provide additional information to aid in understanding the code, or to prevent execution of SQL statements.
+**Comments** in SQL are annotations that provide explanations or documentation for SQL code without affecting the execution of queries. Comments allow developers to add notes, clarify complex logic, or temporarily disable parts of code for testing purposes. There are three types of comments in SQL:
 
-## Single-line Comments
+- Single-line comments
+- Multi-line comments
+- Inline comments
 
-Single line comments start with `--`. Any text between `--` and the end of the line will be ignored (will not be executed).
+Let's explore each in detail.
 
-The following example uses a single-line comment as an explanation:
+## Single Line Comments
 
-```sql
--- Select all:
+**Single-line comments** are used to annotate a single line of SQL code. They begin with two hyphens (`--`) and continue until the end of the line. Single-line comments are commonly used for brief explanations or to temporarily disable individual lines of code.
 
-SELECT *
-FROM customers;
+### Syntax of Single Line Comments
+
+```pseudo
+-- This is a single-line comment
 ```
 
-## Multi-line Comments
+### Example of Single Line Comments
 
-Multi-line comments start with `/*` and end with `*/`.
+```sql
+-- Select all customers from the database
+SELECT * FROM customers;
+```
 
-Any text between `/*` and `*/` will be ignored.
+In this example, the comment `-- Select all customers from the database` explains the purpose of the query. The database engine ignores everything after the `--` symbols, so only the `SELECT` statement is executed.
 
-The following example uses a multi-line comment as an explanation:
+## Multi-line Comments
 
-```sql
-/* Select everything
-from the customers table */
+**Multi-line comments** are used when there is a need to comment out more than one line of SQL code. These comments start with `/*` and end with `*/`, and can span multiple lines. Multi-line comments are ideal for longer explanations, documentation blocks, or temporarily disabling larger sections of code.
 
-SELECT *
-FROM customers;
+### Syntax of Multi-line Comments
+
+```pseudo
+/* This is a multi-line comment
+   that can span multiple lines */
 ```
 
-The following example uses a multi-line comment to ignore many statements:
+### Example of Multi-line Comments
 
 ```sql
-/* SELECT *
-FROM customers;
+/* This query retrieves all orders
+   placed in the year 2023
+   for reporting purposes */
 SELECT *
-FROM products; */
+FROM orders
+WHERE YEAR(order_date) = 2023;
+```
 
-SELECT *
+In this example, the multi-line comment provides detailed information about what the query does. The comment spans three lines and explains the purpose of retrieving orders from 2023. The database engine ignores all text between `/*` and `*/`.
+
+## Inline Comments
+
+**Inline comments** allow adding comments within a query itself. They use the same `/* */` syntax as multi-line comments, but are placed within the SQL statement to provide specific information about particular parts of the query without interrupting the code flow.
+
+### Syntax of Inline Comments
+
+```pseudo
+SELECT column1 /* comment about column1 */ FROM table_name;
+```
+
+### Example of Inline Comments
+
+```sql
+SELECT customer_name, /* Customer's full name */
+       order_date,    /* Date when order was placed */
+       total_amount   /* Final order total */
 FROM orders;
 ```
 
-To ignore just a part of a statement, also use the `/*` `*/` comment.
+In this example, inline comments describe what each selected column represents. This approach keeps the code readable while providing context for each column directly next to its definition.
+
+## Example: Understanding SQL Comments
 
-The following example uses a comment to ignore part of a line:
+This example demonstrates all three types of SQL comments in a single query:
 
 ```sql
-SELECT id, customer_name, /* city, */ country
-FROM customers;
+-- Single-line comment: Query to analyze customer orders
+SELECT
+    c.customer_name, /* Inline comment: Customer's full name */
+    COUNT(o.order_id) AS total_orders,
+    SUM(o.total_amount) /* Inline comment: Sum of all order values */ AS total_spent
+
+FROM customers c
+JOIN orders o ON c.customer_id = o.customer_id
+/* Multi-line comment:
+   Filter for orders placed in the last year
+   to get recent customer activity data */
+
+WHERE o.order_date >= DATE_SUB(CURRENT_DATE, INTERVAL 1 YEAR)
+GROUP BY c.customer_id, c.customer_name
+-- Single-line comment: Sort by highest spending customers first
+ORDER BY total_spent DESC;
 ```
+
+This query combines all three comment types to create well-documented SQL code. The single-line comments (`--`) explain the overall purpose and sorting logic. The inline comments (`/* */`) describe specific columns being selected. The multi-line comment explains the filtering logic for recent orders.
+
+## Frequently Asked Questions
+
+### 1. What is `/*` in SQL?
+
+The `/*` symbol marks the beginning of a multi-line comment in SQL. It must be paired with a closing `*/` symbol to properly end the comment block. Everything between these symbols is ignored by the database engine.
+
+### 2. How do I comment out in SQL?
+
+To comment out code in SQL, you can use:
+
+- `--` for single-line comments
+- `/* */` for multi-line comments or inline comments
+
+### 3. How to comment multiple lines?
+
+To comment multiple lines in SQL, use the multi-line comment syntax: start with `/*` at the beginning of the first line you want to comment out, and end with `*/` after the last line. All lines between these symbols will be treated as comments and ignored during execution.

From 0168784d5ae4f9ac083b52918161dd79434a0ee9 Mon Sep 17 00:00:00 2001
From: Prankisster <92308896+Prankisster@users.noreply.github.com>
Date: Tue, 19 Aug 2025 09:40:12 +0530
Subject: [PATCH 103/332] [Term Entry] Python Inheritance: Multiple Inheritance

* docs: add new term entry for multiple inheritance in Python

* content fixes

* Update multiple-inheritance.md

---------
---
 .../multiple-inheritance.md                   | 104 ++++++++++++++++++
 1 file changed, 104 insertions(+)
 create mode 100644 content/python/concepts/inheritance/terms/multiple-inheritance/multiple-inheritance.md

diff --git a/content/python/concepts/inheritance/terms/multiple-inheritance/multiple-inheritance.md b/content/python/concepts/inheritance/terms/multiple-inheritance/multiple-inheritance.md
new file mode 100644
index 00000000000..88897831781
--- /dev/null
+++ b/content/python/concepts/inheritance/terms/multiple-inheritance/multiple-inheritance.md
@@ -0,0 +1,104 @@
+---
+Title: 'Multiple Inheritance'
+Description: 'Allows a class to inherit attributes and methods from more than one parent class.'
+Subjects:
+  - 'Code Foundations`
+  - `Computer Science'
+Tags:
+  - 'Classes'
+  - 'Inheritance'
+  - 'OOP'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**Multiple inheritance** is a foundational concept in [object-oriented programming (OOP)](https://www.codecademy.com/resources/blog/object-oriented-programming) where a class can inherit methods and attributes from more than one parent class. Python supports this, allowing a subclass to combine functionality from multiple base classes.
+
+This promotes flexibility and code reuse. However, it also raises the risk of method name conflicts. Python resolves such issues using its Method Resolution Order (MRO).
+
+## Syntax
+
+```pseudo
+class ParentA:
+  # Methods and attributes of ParentA
+
+class ParentB:
+  # Methods and attributes of ParentB
+
+class Child(ParentA, ParentB):
+  # Inherits from both ParentA and ParentB
+```
+
+Here:
+
+- `ParentA`, `ParentB`: Two distinct base classes.
+- `Child`: The derived class that inherits from both.
+
+Python determines which method to use using the order declared (left to right).
+
+## Example
+
+In this example, the `Duck` class inherits from both `Flyer` and `Swimmer`, but due to Python’s MRO, the method from `Flyer` takes priority:
+
+```py
+class Flyer:
+  def ability(self):
+    return "Can fly"
+
+class Swimmer:
+  def ability(self):
+    return "Can swim"
+
+class Duck(Flyer, Swimmer):
+  pass
+
+d = Duck()
+print(d.ability())
+```
+
+The output of this code is:
+
+```shell
+Can fly
+```
+
+## Codebyte Example
+
+In this codebyte example, the `Tablet` class inherits input methods from both `Keyboard` and `Touchscreen`, but the method from `Keyboard` is used due to its position in the inheritance list:
+
+```codebyte/python
+class Keyboard:
+  def input_method(self):
+    return "Typed input"
+
+class Touchscreen:
+  def input_method(self):
+    return "Touch input"
+
+class Tablet(Keyboard, Touchscreen):
+  def description(self):
+    return "Tablet can accept multiple input types"
+
+my_tablet = Tablet()
+print(my_tablet.input_method())   # Inherited from Keyboard (first in order)
+print(my_tablet.description())    # Defined in Tablet
+```
+
+A visual overview of multiple inheritance:
+
+```
++-------------+     +---------------+
+|  Keyboard   |     |  Touchscreen  |
+|-------------|     |---------------|
+| input_method|     | input_method  |
++------+------+     +-------+-------+
+       \                  /
+        \                /
+         ▼              ▼
+          +--------------------+
+          |      Tablet        |
+          |--------------------|
+          |    description()   |
+          +--------------------+
+```

From e2ab4a8a9fab021faf06ed617562ca53f7e33504 Mon Sep 17 00:00:00 2001
From: Prankisster <92308896+Prankisster@users.noreply.github.com>
Date: Tue, 19 Aug 2025 09:45:58 +0530
Subject: [PATCH 104/332] [Term Entry] Python Inheritance: Multilevel
 Inheritance

* docs: add new term entry for multilevel inheritance in Python

* content changes

* Update multilevel-inheritance.md

* Update multilevel-inheritance.md

---------
---
 .../multilevel-inheritance.md                 | 130 ++++++++++++++++++
 1 file changed, 130 insertions(+)
 create mode 100644 content/python/concepts/inheritance/terms/multilevel-inheritance/multilevel-inheritance.md

diff --git a/content/python/concepts/inheritance/terms/multilevel-inheritance/multilevel-inheritance.md b/content/python/concepts/inheritance/terms/multilevel-inheritance/multilevel-inheritance.md
new file mode 100644
index 00000000000..7a5e2b6ac50
--- /dev/null
+++ b/content/python/concepts/inheritance/terms/multilevel-inheritance/multilevel-inheritance.md
@@ -0,0 +1,130 @@
+---
+Title: 'Multilevel Inheritance'
+Description: 'Allows a class to inherit from a subclass, creating an inheritance chain across multiple levels.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Classes'
+  - 'Inheritance'
+  - 'OOP'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**Multilevel inheritance** is a type of class hierarchy in [object-oriented programming (OOP)](https://www.codecademy.com/resources/blog/object-oriented-programming) where a class inherits from a derived class, forming a chain of inheritance. Each level passes down methods and properties, enabling cumulative specialization and reuse.
+
+In Python, multilevel inheritance allows a subclass to indirectly inherit members from a grandparent class through its parent.
+
+## Syntax
+
+```pseudo
+class BaseClass:
+  # Base class code
+
+class IntermediateClass(BaseClass):
+  # Inherits from BaseClass
+
+class DerivedClass(IntermediateClass):
+  # Inherits from IntermediateClass
+```
+
+Here:
+
+- `BaseClass`: The top-most class in the hierarchy.
+- `IntermediateClass`: Inherits from `BaseClass`.
+- `DerivedClass`: Inherits from `IntermediateClass`, and indirectly from `BaseClass`.
+
+## Example
+
+In this example, the `Dog` class inherits from `Animal`, which in turn inherits from `LivingBeing`, allowing it to access methods from both ancestor classes:
+
+```py
+class LivingBeing:
+  def breathe(self):
+    return "Breathing"
+
+class Animal(LivingBeing):
+  def move(self):
+    return "Moving"
+
+class Dog(Animal):
+  def bark(self):
+    return "Barking"
+
+dog = Dog()
+print(dog.breathe())  # Inherited from LivingBeing
+print(dog.move())     # Inherited from Animal
+print(dog.bark())     # Defined in Dog
+```
+
+The output of this code is:
+
+```shell
+Breathing
+Moving
+Barking
+```
+
+This example forms a chain:
+
+- `Dog` → `Animal` → `LivingBeing`
+- The `Dog` class gains all the methods of its parent and grandparent.
+
+Visual representation of multilevel inheritance:
+
+```
++--------------+
+| LivingBeing  |
+|--------------|
+| breathe()    |
++------+-------+
+       |
+       ▼
++--------------+
+| Animal       |
+|--------------|
+| move()       |
++------+-------+
+       |
+       ▼
++--------------+
+| Dog          |
+|--------------|
+| bark()       |
++--------------+
+```
+
+## Codebyte Example
+
+In this codebyte example, the `Laptop` class inherits features from `Computer` and `Device`, demonstrating how functionality accumulates across multiple levels of inheritance:
+
+```codebyte/python
+class Device:
+  def power_on(self):
+    return "Device powered on"
+
+class Computer(Device):
+  def open_os(self):
+    return "OS is loading"
+
+class Laptop(Computer):
+  def use_touchpad(self):
+    return "Using touchpad"
+
+my_laptop = Laptop()
+
+print(my_laptop.power_on())
+print(my_laptop.open_os())
+print(my_laptop.use_touchpad())
+```
+
+## Benefits and Best Practices of Multilevel Inheritance
+
+- Promotes structured layering of functionality.
+- Each derived class builds upon its predecessor.
+- Useful when deeper specialization is logically needed.
+- Helps organize code when behaviors evolve level by level.
+
+> **Note:** Avoid deep inheritance chains when possible, as too many layers can make debugging and maintenance harder.

From 01257c476573008f385596c46823c5910a7664c8 Mon Sep 17 00:00:00 2001
From: Atul Deshpande <159980686+AtulDeshpande09@users.noreply.github.com>
Date: Tue, 19 Aug 2025 09:51:55 +0530
Subject: [PATCH 105/332] [Term Entry] PyTorch Tensor Operations: .expm1()

* Create expm1.md

* Update expm1.md

* minor fixes

* Update expm1.md

---------
---
 .../tensor-operations/terms/expm1/expm1.md    | 61 +++++++++++++++++++
 1 file changed, 61 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/expm1/expm1.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/expm1/expm1.md b/content/pytorch/concepts/tensor-operations/terms/expm1/expm1.md
new file mode 100644
index 00000000000..3e68615d5c9
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/expm1/expm1.md
@@ -0,0 +1,61 @@
+---
+Title: '.expm1()'
+Description: 'Calculates the exponential of each element in a tensor and then subtracts 1.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.expm1()`** function takes in an input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) and returns a tensor where each element is the exponential of the input element minus 1. It provides greater precision than performing $$exp(x) - 1$$ directly, especially for small values of `x`. The function computes each element as:
+
+$$y_i= e^{x_i}-1$$
+
+## Syntax
+
+```pseudo
+torch.expm1(input, *, out=None) → Tensor
+```
+
+Or,
+
+```pseudo
+torch.special.expm1(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor.
+- `out` (Optional): A tensor to store the output. If provided, the result is written to this tensor.
+
+**Return value:**
+
+It returns a new tensor of the same shape as the input, containing the computed values for each corresponding element.
+
+## Example
+
+This example demonstrates the usage of the `.expm1()` function:
+
+```py
+import torch
+
+# Define a tensor
+x = torch.tensor([0, math.log(2.)])
+
+result = torch.special.expm1(x)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([ 0.,  1.])
+```

From a159096a8df0e8a5f2e9430da069c923ca614f68 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 19 Aug 2025 20:24:09 +0530
Subject: [PATCH 106/332] [Edit] Git: Git add (#7471)

* [Edit] Git: Git add

* Update content/git/concepts/add/add.md

* Minor Codeblack change

* Update content/git/concepts/add/add.md

* Update content/git/concepts/add/add.md

* Update content/git/concepts/add/add.md

* Update content/git/concepts/add/add.md

* Update content/git/concepts/add/add.md

---------
---
 content/git/concepts/add/add.md | 134 +++++++++++++++++++++++++-------
 1 file changed, 107 insertions(+), 27 deletions(-)

diff --git a/content/git/concepts/add/add.md b/content/git/concepts/add/add.md
index fb3c73525c0..a10f351a8b9 100644
--- a/content/git/concepts/add/add.md
+++ b/content/git/concepts/add/add.md
@@ -1,57 +1,137 @@
 ---
-Title: 'Add'
-Description: 'The git add command is used to add changes from the working tree to the staging area. This is where changes are saved for the next commit.'
+Title: 'add'
+Description: 'Stages changes from the working directory to the staging area for the next commit'
 Subjects:
   - 'Bash/Shell'
+  - 'Code Foundations'
   - 'Developer Tools'
 Tags:
+  - 'Command Line'
+  - 'Files'
   - 'Git'
   - 'Version Control'
 CatalogContent:
-  - 'learn-the-command-line'
   - 'learn-git'
+  - 'learn-the-command-line'
 ---
 
-In Git, adding is used to add changes from the working tree to the staging area. This is where changes are saved for the next commit. When the file name appears in green, it indicates that the file is tracked and will be staged for the next commit.
+The **`git add`** command stages changes from the working directory to the staging area, preparing them to be included in the next commit. This essential Git command allows developers to selectively choose which modifications should be committed, providing precise control over version history and enabling organized, logical commits in any Git workflow.
+
+## Syntax of `git add`
+
+```pseudo
+git add [options] [pathspec]
+```
+
+### Common Syntax Variations
+
+```pseudo
+git add <filename>
+git add .
+git add -A
+git add --all
+```
+
+**Parameters:**
+
+- `<filename>`: Specifies the exact file to stage for the next commit
+- `.`: Stages all changes in the current directory and its subdirectories
+- `-A` or `--all`: Stages all changes in the entire repository, including new, modified, and deleted files
+- `-u` or `--update`: Stages only modified and deleted files (excludes new files)
+- `-p` or `--patch`: Begins interactive staging mode to selectively stage parts of files
+- `-i` or `--interactive`: Opens interactive mode for choosing which changes to stage
+- `-f` or `--force`: Forces staging of ignored files
+- `-n` or `--dry-run`: Shows what would be staged without actually staging anything
+
+**Return value:**
+
+The `git add` command returns no output on successful execution. If there are errors (such as attempting to stage non-existent files), Git displays appropriate error messages. Use [`git status`](https://www.codecademy.com/resources/docs/git/status) to verify which files have been successfully staged.
 
-## Example
+## Example 1: Basic File Staging using `git add`
 
-Below is a short example of how the `git add` command works. Assuming a change was saved in a **message.txt** text file, running `git status` will show this:
+This example demonstrates how to stage individual files for the next commit:
 
 ```shell
-$ git status
+# Create a new file in the project
+echo "Hello, Git!" > welcome.txt
+
+# Check the current status
+git status
+
+# Stage the new file
+git add welcome.txt
+
+# Verify the file is staged
+git status
+```
 
-On branch main
+After running these commands, `welcome.txt` will be moved from "Untracked files" to "Changes to be committed" in the status output, confirming it's ready for the next commit.
 
-No commits yet
+## Example 2: Using `git add` for Team Collaboration Workflow
 
-Untracked files:
-  (use "git add <file>..." to include in what will be committed)
-  message.txt
+This example shows how to stage multiple files when working on a feature with a team:
 
-nothing added to commit but untracked files present (use "git add" to track)
+```shell
+# Working on a new feature - multiple files modified
+# Modified files: app.js, style.css, README.md
+# New file: config.json
+
+# Stage specific files for a focused commit
+git add app.js config.json
+
+# Check what's staged vs unstaged
+git status
+
+# Stage remaining files for a documentation update
+git add style.css README.md
+
+# Commit the changes with descriptive messages
+git commit -m "Add user authentication feature"
+
+# Push to share with the team
+git push origin feature-branch
 ```
 
-Since the file is untracked, `git add` can be used to stage it for the next commit. Afterwards, running `git status` again should yield the following:
+This workflow demonstrates how `git add` enables developers to create logical, focused commits by staging related changes together, making code review and collaboration more effective.
+
+### Example 3: Staging All Changes With `git add --all`
+
+This example demonstrates how to stage all changes in the repository at once using `git add --all`:
 
 ```shell
-$ git add message.txt
-$ git status
+# Working directory with multiple changes:
+# Modified: index.html, app.js
+# New files: contact.html, footer.css
+# Deleted: old-style.css
 
-On branch main
+# Check current repository status
+git status
 
-No commits yet
+# Stage all changes at once (new, modified, deleted)
+git add --all
 
-Changes to be committed:
-  (use "git rm --cached <file>..." to unstage)
-  new file:   message.txt
+# Verify all changes are staged
+git status
+
+# Alternative shorter syntax (same result)
+git add -A
+
+# Commit all staged changes
+git commit -m "Complete website redesign with new contact page"
 ```
 
-The file now appears in green when running `git status`, indicating that it is staged and will be saved with the next commit.
+After running `git add --all`, all modifications, new files, and deletions will be moved to the "Changes to be committed" section, making this command ideal for comprehensive updates when there is a need to include everything in the next commit.
+
+## Frequently Asked Questions
+
+### 1. How do I add files to git?
+
+Use `git add <filename>` for single files, `git add .` for all changes in the current directory, or `git add -A` for all changes in the repository. Always verify with `git status` before committing.
+
+### 2. What to use instead of git add?
+
+There's no direct replacement for `git add` since it's fundamental to Git's three-stage workflow. However, you can use `git commit -a` to automatically stage and commit tracked files (but this won't include new files).
 
-There are many extensions to the `git add` command such as:
+### 3. Does git add include deleted files?
 
-- `-n`: Where the file will not be added to the staging area but will show whether or not the file exists and/or if it will be ignored.
-- `-f`: Which stages all files including those which are ignored.
-- `.` : Which stages all the files in the current directory. On the command line, it references the current directory.
-- `-A`: Which stages all the files in the current directory as well as subdirectories.
+The basic `git add .` command does include deleted files. Use `git add -A` to explicitly include all changes including deletions, or `git add -u` to stage only modifications and deletions while excluding new files.

From 877722c88329110102fef34488abd55dd96a9dbd Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 19 Aug 2025 22:32:55 +0530
Subject: [PATCH 107/332] [Edit]: Java Enums (#7408)

* [Edit]: Java Enums

* Changed an Example due to complexity

---------
---
 content/java/concepts/enums/enums.md | 254 +++++++++++++++++++++++----
 1 file changed, 218 insertions(+), 36 deletions(-)

diff --git a/content/java/concepts/enums/enums.md b/content/java/concepts/enums/enums.md
index 6dbcf18b2fb..295cf8e574b 100644
--- a/content/java/concepts/enums/enums.md
+++ b/content/java/concepts/enums/enums.md
@@ -1,70 +1,252 @@
 ---
-Title: 'Enums'
-Description: 'Enumeration (enum) is a special user defined type where we specify a set of values for a variable and the variable can only take one out of a small set of possible values.'
+Title: 'enum'
+Description: 'Defines a special class that represents a group of named constants in Java.'
 Subjects:
   - 'Computer Science'
+  - 'Web Development'
 Tags:
-  - 'Enums'
+  - 'Classes'
   - 'Data Types'
-  - 'Arrays'
-  - 'Vectors'
-  - 'Pointers'
-  - 'Memory'
+  - 'OOP'
+  - 'Switch'
 CatalogContent:
   - 'learn-java'
   - 'paths/computer-science'
 ---
 
-Enumeration (enum) is a special user defined type where we specify a set of values for a variable and the variable can only take one out of a small set of possible values. Enumerations are classified as a [reference data type](https://www.codecademy.com/resources/docs/java/data-types#reference-data-types).
+A **`enum`** in Java is a special [data type](https://www.codecademy.com/resources/docs/java/data-types) used to define a collection of named constants—unchangeable, type-safe values. Enums are used when all possible values are known at compile time, such as days of the week, directions, or states in a process. They make code more readable, safer, and less error-prone.
 
-The keyword `enum` is used to define an enumeration.
+## Java Enum Syntax
 
-An `enum` can contain constants, methods, etc.
+```pseudo
+enum EnumName {
+  CONSTANT1,
+  CONSTANT2,
+  CONSTANT3
+}
+```
+
+**Parameters:**
+
+- `EnumName`: The name of the enum (should follow Java naming conventions)
+- `CONSTANT1, CONSTANT2, CONSTANT3`: Enum constants (should be in uppercase)
 
-## Syntax
+**Return value:**
 
-Here's the basic syntax for creating an `enum`:
+Java enum constants are objects of the enum type and can be accessed using the dot notation.
+
+## Example 1: Java Enum Declaration
+
+The following example demonstrates how to declare `enum` in Java, both outside and inside a class:
 
 ```java
-public enum name {
-  constant1,
-  constant2,
-  ...
+// Java enum declared outside any class
+enum Priority {
+  LOW,
+  MEDIUM,
+  HIGH
 }
+
+public class TaskManager {
+  // Java enum declared inside a class
+  enum Status {
+    PENDING,
+    IN_PROGRESS,
+    COMPLETED
+  }
+
+  public static void main(String[] args) {
+    // Using java enum constants
+    Priority taskPriority = Priority.HIGH;
+    Status taskStatus = Status.PENDING;
+
+    System.out.println("Task Priority: " + taskPriority);
+    System.out.println("Task Status: " + taskStatus);
+  }
+}
+```
+
+This example results in the following output:
+
+```shell
+Task Priority: HIGH
+Task Status: PENDING
 ```
 
-Here's an `enum` with compass directions:
+The java enum constants `Priority.HIGH` and `Status.PENDING` are accessed using dot notation and can be assigned to variables of their respective java enum type.
+
+## Example 2: Looping Through Java Enum Constants
+
+Enum in java provides a built-in `values()` method that returns an array of all enum constants, making it easy to iterate through them:
 
 ```java
-public enum Direction {
-  NORTH, SOUTH, EAST, WEST
+enum Color {
+  RED,
+  GREEN,
+  BLUE,
+  YELLOW
+}
+
+public class ColorPrinter {
+  public static void main(String[] args) {
+    System.out.println("Available colors:");
+
+    // Loop through all java enum constants
+    for (Color color : Color.values()) {
+      System.out.println("- " + color);
+    }
+  }
 }
 ```
 
-- `Direction.NORTH` will have a value of NORTH.
-- `Direction.SOUTH` will have a value of SOUTH.
-- `Direction.EAST` will have a value of EAST.
-- `Direction.WEST` will have a value of WEST.
+This example results in the following output:
+
+```shell
+Available colors:
+- RED
+- GREEN
+- BLUE
+- YELLOW
+```
 
-## Example
+The `values()` method returns all java enum constants as an array, which can be iterated using an enhanced for loop.
+
+## Example 3: Using Java Enums in a Switch Statement
+
+Java enum works seamlessly with [switch statements](https://www.codecademy.com/resources/docs/java/switch), providing a clean way to handle different cases based on enum in java values:
 
 ```java
-public enum Day {
-  SUN, MON, TUE, WED,
-  THU, FRI, SAT
+enum OrderStatus {
+  PLACED,
+  PROCESSING,
+  SHIPPED,
+  DELIVERED,
+  CANCELLED
+}
+
+public class OrderManager {
+  public static void processOrder(OrderStatus status) {
+    switch (status) {
+      case PLACED:
+        System.out.println("Order has been placed. Processing soon.");
+        break;
+      case PROCESSING:
+        System.out.println("Order is being processed.");
+        break;
+      case SHIPPED:
+        System.out.println("Order has been shipped.");
+        break;
+      case DELIVERED:
+        System.out.println("Order delivered successfully!");
+        break;
+      case CANCELLED:
+        System.out.println("Order has been cancelled.");
+        break;
+      default:
+        System.out.println("Unknown order status.");
+        break;
+    }
+  }
+
+  public static void main(String[] args) {
+    OrderStatus currentStatus = OrderStatus.SHIPPED;
+    processOrder(currentStatus);
+  }
 }
 ```
 
-- `Day.SUN` will have a value of SUN.
-- `Day.MON` will have a value of MON.
-- `Day.TUE` will have a value of TUE.
-- `Day.WED` will have a value of WED.
-- `Day.THU` will have a value of THU.
-- `Day.FRI` will have a value of FRI.
-- `Day.SAT` will have a value of SAT.
+This example results in the following output:
+
+```shell
+Order has been shipped.
+```
+
+Switch statements with java enum are type-safe and don't require the enum class name prefix within case labels.
 
-To access one of the values:
+## Example 4: Java `enum` with Constructor and Methods
+
+Enum in java can have constructors, fields, and methods, making them powerful tools for organizing related data and behavior:
 
 ```java
-Day day = Day.MON;
+enum Size {
+  SMALL("S", 32),
+  MEDIUM("M", 36),
+  LARGE("L", 40),
+  EXTRA_LARGE("XL", 44);
+
+  private final String code;        // Size code
+  private final int chestSize;      // Chest measurement in inches
+
+  // Java enum constructor
+  Size(String code, int chestSize) {
+    this.code = code;
+    this.chestSize = chestSize;
+  }
+
+  // Method to get size code
+  public String getCode() {
+    return code;
+  }
+
+  // Method to get chest measurement
+  public int getChestSize() {
+    return chestSize;
+  }
+
+  // Method to check if size fits given measurement
+  public boolean fits(int measurement) {
+    return measurement <= chestSize;
+  }
+}
+
+public class ClothingStore {
+  public static void main(String[] args) {
+    int customerChest = 38;
+
+    System.out.println("Available sizes:");
+    for (Size size : Size.values()) {
+      System.out.println(size + " (" + size.getCode() + "): " + size.getChestSize() + " inches");
+    }
+
+    System.out.println("\nCustomer chest size: " + customerChest + " inches");
+    System.out.println("Recommended sizes:");
+
+    for (Size size : Size.values()) {
+      if (size.fits(customerChest)) {
+        System.out.println("- " + size + " fits!");
+      }
+    }
+  }
+}
 ```
+
+This example results in the following output:
+
+```shell
+Available sizes:
+SMALL (S): 32 inches
+MEDIUM (M): 36 inches
+LARGE (L): 40 inches
+EXTRA_LARGE (XL): 44 inches
+
+Customer chest size: 38 inches
+Recommended sizes:
+- LARGE fits!
+- EXTRA_LARGE fits!
+```
+
+The java enum constructor is called automatically for each constant, allowing enums to store multiple pieces of data (size code and chest measurement) and provide methods like `fits()` that operate on that data to solve real-world problems.
+
+## Frequently Asked Questions
+
+### 1. Why is java enum required in Java?
+
+Java enum provides type safety and prevents invalid values from being assigned. They make code more readable by using meaningful names instead of numeric constants, reduce bugs by eliminating magic numbers, and enable compile-time checking of valid values.
+
+### 2. How to name java enum in Java?
+
+Java enum names should follow Java class naming conventions (PascalCase), while enum in java constants should be in uppercase with underscores separating words (UPPER_SNAKE_CASE). For example: `enum HttpStatus { OK, NOT_FOUND, INTERNAL_SERVER_ERROR }`.
+
+### 3. What is the difference between java enum and constant in Java?
+
+Java enum are type-safe and provide additional functionality like methods and constructors, while constants are simply final variables. Enum in java prevents invalid assignments and provides built-in methods like `values()` and `valueOf()`, whereas constants offer no such protection or functionality.

From 626f71c290ce10b76b54261976f58708747595d0 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Wed, 20 Aug 2025 20:10:57 +0530
Subject: [PATCH 108/332] [Edit] SQL: FULL OUTER JOIN (#7487)

* [Edit] SQL: FULL OUTER JOIN

* minor updates

---------
---
 .../terms/full-outer-join/full-outer-join.md  | 167 +++++++++++++++---
 1 file changed, 147 insertions(+), 20 deletions(-)

diff --git a/content/sql/concepts/commands/terms/full-outer-join/full-outer-join.md b/content/sql/concepts/commands/terms/full-outer-join/full-outer-join.md
index 241905ce3c1..458b2b60800 100644
--- a/content/sql/concepts/commands/terms/full-outer-join/full-outer-join.md
+++ b/content/sql/concepts/commands/terms/full-outer-join/full-outer-join.md
@@ -1,44 +1,171 @@
 ---
 Title: 'FULL OUTER JOIN'
-Description: 'Combines rows from different tables even if the JOIN condition is not met.'
+Description: 'Returns all rows from both tables being joined, regardless of whether they have matching values in the join condition.'
 Subjects:
+  - 'Code Foundations'
   - 'Data Science'
 Tags:
   - 'Database'
-  - 'Queries'
   - 'Join'
   - 'PostgreSQL'
-  - 'MySQL'
-  - 'SQLite'
-  - 'Tables'
+  - 'Queries'
 CatalogContent:
   - 'learn-sql'
   - 'paths/analyze-data-with-sql'
-  - 'paths/design-databases-with-postgresql'
 ---
 
-The **`FULL OUTER JOIN`** command combines matching rows with all rows from both the left- and right-side tables.
+The SQL **`FULL OUTER JOIN`** command returns all rows from both tables being [joined](https://www.codecademy.com/resources/docs/sql/joins), regardless of whether the tables have matching values in the join condition.
+
+- If there is a match between the two tables, the joined row is shown.
+- If there's no match, the result will still include the row, but with `NULL` values in the columns from the table that doesn’t have a match.
 
 ## Syntax
 
 ```pseudo
-SELECT column(s)
-FROM table_A
-FULL OUTER JOIN table_B
-  ON table_A.column(s) = table_B.column(s)
-WHERE condition;
+SELECT column_list
+FROM table1
+FULL OUTER JOIN table2
+ON table1.common_column = table2.common_column;
+```
+
+In the syntax:
+
+- `table1`, `table2`: The tables being joined.
+- `common_column`: The column used to match rows between the tables.
+
+## Example 1: Joining Customers and Orders Using SQL `FULL OUTER JOIN`
+
+Suppose there are two tables:
+
+Table 1: Customers
+
+| CustomerID | Name    |
+| ---------- | ------- |
+| 1          | Alice   |
+| 2          | Bob     |
+| 3          | Charlie |
+
+Table 2: Orders
+
+| OrderID | CustomerID | Product |
+| ------- | ---------- | ------- |
+| 101     | 1          | Laptop  |
+| 102     | 4          | Phone   |
+
+Here is the query using SQL `FULL OUTER JOIN`:
+
+```sql
+SELECT Customers.CustomerID, Customers.Name, Orders.OrderID, Orders.Product
+FROM Customers
+FULL OUTER JOIN Orders
+ON Customers.CustomerID = Orders.CustomerID;
+```
+
+The output will be:
+
+| CustomerID | Name    | OrderID | Product |
+| ---------- | ------- | ------- | ------- |
+| 1          | Alice   | 101     | Laptop  |
+| 2          | Bob     | NULL    | NULL    |
+| 3          | Charlie | NULL    | NULL    |
+| 4          | NULL    | 102     | Phone   |
+
+## Example 2: Joining Departments and Employees Using SQL `FULL OUTER JOIN`
+
+Suppose there are two tables:
+
+Table 1: Departments
+
+| DeptID | DeptName |
+| ------ | -------- |
+| 10     | HR       |
+| 20     | IT       |
+
+Table 2: Employees
+
+| EmpID | EmpName | DeptID |
+| ----- | ------- | ------ |
+| 1     | John    | 20     |
+| 2     | Sarah   | 30     |
+
+Here is the query using SQL `FULL OUTER JOIN`:
+
+```sql
+SELECT Departments.DeptID, Departments.DeptName, Employees.EmpID, Employees.EmpName
+FROM Departments
+FULL OUTER JOIN Employees
+ON Departments.DeptID = Employees.DeptID;
+```
+
+The output will be:
+
+| DeptID | DeptName | EmpID | EmpName |
+| ------ | -------- | ----- | ------- |
+| 10     | HR       | NULL  | NULL    |
+| 20     | IT       | 1     | John    |
+| NULL   | NULL     | 2     | Sarah   |
+
+## Example 3: Joining Students and Courses Using SQL `FULL OUTER JOIN`
+
+Suppose there are two tables:
+
+Table 1: Students
+
+| StudentID | Name |
+| --------- | ---- |
+| 101       | Alex |
+| 102       | Emma |
+
+Table 2: Courses
+
+| CourseID | StudentID | CourseName |
+| -------- | --------- | ---------- |
+| C1       | 103       | Math       |
+| C2       | 101       | Science    |
+
+Here is the query using SQL `FULL OUTER JOIN`:
+
+```sql
+SELECT Students.StudentID, Students.Name, Courses.CourseID, Courses.CourseName
+FROM Students
+FULL OUTER JOIN Courses
+ON Students.StudentID = Courses.StudentID;
 ```
 
-One or more matching `column(s)` can be selected and joined from `table_A` and `table_B` based on matching columns between tables in the `ON` clause to define which rows are combined. Other rows from each table appear in the result separately. The results can be further filtered based on a `condition` in the [`WHERE`](https://www.codecademy.com/resources/docs/sql/commands/where) clause.
+The output will be:
+
+| StudentID | Name | CourseID | CourseName |
+| --------- | ---- | -------- | ---------- |
+| 101       | Alex | C2       | Science    |
+| 102       | Emma | NULL     | NULL       |
+| 103       | NULL | C1       | Math       |
+
+## Frequently Asked Questions
+
+### 1. What are the 4 types of JOINs in SQL?
 
-## Example
+The four basic types of SQL joins are:
 
-The following example selects all the rows (`*`) from the `books` table with an `author_id` less than 11, and any rows from the `authors` table that have a matching `id` in the filtered `books` table:
+- **INNER JOIN**: Returns only rows where there is a match in both tables.
+- **LEFT JOIN (LEFT OUTER JOIN)**: Returns all rows from the left table and matching rows from the right table; unmatched rows from the right show as `NULL`.
+- **RIGHT JOIN (RIGHT OUTER JOIN)**: Returns all rows from the right table and matching rows from the left table; unmatched rows from the left show as `NULL`.
+- **FULL OUTER JOIN**: Returns all rows from both tables, filling in `NULL` where matches don’t exist.
+
+### 2. What does `(+)` mean in SQL JOINs?
+
+The `(+)` symbol is used in Oracle SQL to indicate an outer join.
+
+**Example:**
 
 ```sql
-SELECT *
-FROM books
-FULL OUTER JOIN authors
-  ON books.author_id = authors.id
-WHERE author_id < 11;
+SELECT a.id, b.name
+FROM tableA a, tableB b
+WHERE a.id = b.id(+);
 ```
+
+Here, `(+)` means a LEFT OUTER JOIN—it returns all rows from `tableA` and matches from `tableB`, inserting `NULL` where no match exists.
+
+### 3. What’s the difference between CROSS JOIN and FULL OUTER JOIN?
+
+- **CROSS JOIN**: Produces the **Cartesian product** of two tables, meaning every row from the first table is paired with every row from the second. If `tableA` has 3 rows and `tableB` has 4 rows, the result will have 12 rows.
+- **FULL OUTER JOIN**: Combines rows from both tables based on a condition and includes unmatched rows, filling missing values with `NULL`.

From ad1aa0a2769b1115f046588883d628ac8e33e39b Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Wed, 20 Aug 2025 20:41:38 +0530
Subject: [PATCH 109/332] [Edit] HTML: <blink> (#7486)

* [Edit] HTML: <blink>

* minor content fixes

---------
---
 .../concepts/elements/terms/blink/blink.md    | 117 ++++++++++++++++--
 media/html-blink-1.gif                        | Bin 0 -> 26500 bytes
 media/html-blink-2.gif                        | Bin 0 -> 36654 bytes
 3 files changed, 109 insertions(+), 8 deletions(-)
 create mode 100644 media/html-blink-1.gif
 create mode 100644 media/html-blink-2.gif

diff --git a/content/html/concepts/elements/terms/blink/blink.md b/content/html/concepts/elements/terms/blink/blink.md
index b4f74eaf4e1..70b39199aa6 100644
--- a/content/html/concepts/elements/terms/blink/blink.md
+++ b/content/html/concepts/elements/terms/blink/blink.md
@@ -2,25 +2,126 @@
 Title: '<blink>'
 Description: 'Used to make text flash on and off and is now obsolete, deprecated, and non-standard.'
 Subjects:
-  - 'Web Development'
   - 'Web Design'
+  - 'Web Development'
 Tags:
   - 'Elements'
-  - 'Tags'
-  - 'Style'
   - 'Obsolete'
+  - 'Style'
+  - 'Tags'
 CatalogContent:
   - 'learn-html'
   - 'paths/front-end-engineer-career-path'
 ---
 
-The `<blink>` element is an obsolete tag that was historically used to make text flash on and off. However, it is now considered to be obsolete and non-standard.
+The HTML **`<blink>`** element is an obsolete [tag](https://www.codecademy.com/resources/docs/html/tags) that was historically used to make text flash on and off. However, it is now considered to be obsolete and non-standard.
+
+> **Note:** This is now deprecated from most browsers and is not part of the current [HTML specifications](https://html.spec.whatwg.org/). Using this tag is a bad design practice and is heavily discouraged by [accessibility standards](https://www.w3.org/WAI/standards-guidelines/wcag/). The [CSS specification](https://www.w3.org/TR/css-2021/) allows browsers to ignore this tag.
+
+## HTML `<blink>` Syntax
+
+```pseudo
+<blink>Blinking Text</blink>
+```
+
+## Example 1: Basic Usage of HTML `<blink>`
+
+This example demonstrates the basic usage of the HTML `<blink>` element:
+
+```html
+<blink>Blinking Text</blink>
+```
+
+This used to make the specified text blink in old browsers. However, it has no effect in modern browsers today.
+
+## Example 2: Using CSS instead of HTML `<blink>`
+
+This example uses [CSS](https://www.codecademy.com/resources/docs/css) instead of HTML `<blink>` to create a blinking effect:
 
-> **Note**: This is now deprecated from most browsers, and is not part of the current [HTML specifications](https://html.spec.whatwg.org/). Using this tag is a bad design practice and is heavily discouraged by [accessibility standards](https://www.w3.org/WAI/standards-guidelines/wcag/). The [CSS specification](https://www.w3.org/TR/css-2021/) allows browsers to ignore this tag.
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="utf-8" />
+    <title>Blink</title>
+    <style>
+      @keyframes blink {
+        0%,
+        49% {
+          opacity: 1;
+        }
+        50%,
+        100% {
+          opacity: 0;
+        }
+      }
+
+      .blink {
+        animation: blink 1s steps(1, start) infinite;
+      }
+
+      @media (prefers-reduced-motion: reduce) {
+        .blink {
+          animation: none;
+        }
+      }
+    </style>
+  </head>
+  <body>
+    <p class="blink">This text blinks using CSS animation</p>
+  </body>
+</html>
+```
+
+Here is the output:
 
-## Syntax
+![Blinking text using CSS instead of HTML `<blink>`](https://raw.githubusercontent.com/Codecademy/docs/main/media/html-blink-1.gif)
+
+## Example 3: Using CSS + JS instead of HTML `<blink>`
+
+This example uses CSS and [JS](https://www.codecademy.com/resources/docs/javascript) instead of HTML `<blink>` to create a blinking effect:
 
 ```html
-<!-- Not advised to use this tag! -->
-<blink><!-- Blinking text goes here --></blink>
+<!DOCTYPE html>
+<html>
+  <head>
+    <meta charset="utf-8" />
+    <title>JS blink</title>
+    <style>
+      .hidden {
+        visibility: hidden;
+      }
+    </style>
+  </head>
+  <body>
+    <p id="alertText">This text will blink via JS</p>
+
+    <script>
+      const el = document.getElementById('alertText');
+
+      let blinking = true;
+      let interval = setInterval(() => {
+        el.classList.toggle('hidden');
+      }, 700);
+    </script>
+  </body>
+</html>
 ```
+
+Here is the output:
+
+![Blinking text using CSS and JS instead of HTML `<blink>`](https://raw.githubusercontent.com/Codecademy/docs/main/media/html-blink-2.gif)
+
+## Frequently Asked Questions
+
+### 1. Does the Blink tag still work?
+
+No. The HTML `<blink>` tag is obsolete and no longer works in modern browsers like Chrome, Firefox, or Edge. It was only supported in some older browsers and now it's ignored by HTML parsers.
+
+### 2. Why was blink removed from HTML?
+
+HTML `<blink>` was removed because it caused accessibility problems, distracted readers, and offered no real semantic or functional benefit. The World Wide Web Consortium (W3C) deprecated it in HTML 4.01 and excluded it from HTML5 standards.
+
+### 3. What is the blink HTML trick?
+
+The old `<blink>` tag made text flash on and off in some early browsers, but it’s deprecated and no longer supported. If you need the effect today, use a short CSS animation instead—though blinking text is generally discouraged for accessibility reasons.
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From 50f338b7eefa00ac043a81812d43f200a2c794f8 Mon Sep 17 00:00:00 2001
From: Raymond Castro <raymond.castro@student.northampton.edu>
Date: Wed, 20 Aug 2025 12:44:55 -0400
Subject: [PATCH 110/332] [Term Entry] C++ Sets: empty() (#7476)

* [Term Entry] C++ Sets: empty()

* minor tweaks

* Update content/cpp/concepts/sets/terms/empty/empty.md

* Update content/cpp/concepts/sets/terms/empty/empty.md

* Update content/cpp/concepts/sets/terms/empty/empty.md

---------
---
 .../cpp/concepts/sets/terms/empty/empty.md    | 90 +++++++++++++++++++
 1 file changed, 90 insertions(+)
 create mode 100644 content/cpp/concepts/sets/terms/empty/empty.md

diff --git a/content/cpp/concepts/sets/terms/empty/empty.md b/content/cpp/concepts/sets/terms/empty/empty.md
new file mode 100644
index 00000000000..fc0eb629972
--- /dev/null
+++ b/content/cpp/concepts/sets/terms/empty/empty.md
@@ -0,0 +1,90 @@
+---
+Title: 'empty()'
+Description: 'Checks whether the set is empty.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Containers'
+  - 'Functions'
+  - 'Sets'
+  - 'STL'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`empty()`** method for [`std::set`](https://www.codecademy.com/resources/docs/cpp/sets) determines whether the set contains no elements. It returns `true` if the container is empty and `false` otherwise.
+
+## Syntax
+
+```pseudo
+set_name.empty()
+```
+
+**Parameters:**
+
+This method does not take any parameters.
+
+**Return Values:**
+
+Returns `true` if the container is empty and `false` otherwise.
+
+## Example: Using `empty()` with `std::set`
+
+The code below demonstrates how to use the `empty()` method with `std::set` in C++, printing a message based on whether the set is empty or not:
+
+```cpp
+#include <iostream>
+#include <set>
+
+int main()
+{
+  std::set<int> my_set;
+
+  if (my_set.empty())
+    std::cout << "Set is empty\n";
+  else
+    std::cout << "Set has elements\n";
+
+  std::set<int> my_other_set{2, 4, 3};
+
+  if (my_other_set.empty())
+    std::cout << "Set is empty\n";
+  else
+    std::cout << "Set has elements\n";
+
+  return 0;
+}
+```
+
+The output of the above code is:
+
+```shell
+Set is empty
+Set has elements
+```
+
+## Codebyte Example: Using `empty()` to Calculate a Sum
+
+In this example, the `empty()` method helps control a loop that sums and removes elements until the set becomes empty:
+
+```codebyte/cpp
+#include <iostream>
+#include <set>
+
+int main()
+{
+  int sum = 0;
+  std::set<int> my_set{1, 6, 4, 5, 2, 9, 3};
+
+  while (!my_set.empty())
+  {
+    sum += *my_set.begin();
+    my_set.erase(my_set.begin());
+  }
+
+  std::cout << "Sum: " << sum << '\n';
+  return 0;
+}
+```

From 8796f4864ee0b4db14bb74277bff9b0bffe6d27e Mon Sep 17 00:00:00 2001
From: arisdelacruz <115809819+arisdelacruz@users.noreply.github.com>
Date: Thu, 21 Aug 2025 00:54:31 +0800
Subject: [PATCH 111/332] Attempt to create an exp2 entry fot pytorch (#7480)

* Attempt to create n exp2 entry fot pytorch

* Update exp2.md

* minor updates

* Update content/pytorch/concepts/tensor-operations/terms/exp2/exp2.md

* Update content/pytorch/concepts/tensor-operations/terms/exp2/exp2.md

* Update content/pytorch/concepts/tensor-operations/terms/exp2/exp2.md

---------
---
 .../tensor-operations/terms/exp2/exp2.md      | 65 +++++++++++++++++++
 1 file changed, 65 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/exp2/exp2.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/exp2/exp2.md b/content/pytorch/concepts/tensor-operations/terms/exp2/exp2.md
new file mode 100644
index 00000000000..ba1ae1e8af2
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/exp2/exp2.md
@@ -0,0 +1,65 @@
+---
+Title: '.exp2()'
+Description: 'Returns a new tensor with the base-2 exponential of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Deep Learning'
+  - 'Functions'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+The **`.exp2()`** function in PyTorch computes the base-2 exponential of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). This function is useful for various mathematical operations and can be applied to tensors of any shape. The result is a new tensor with the same shape as the input, containing the base-2 exponentials of the input values.
+
+## Syntax
+
+```pseudo
+# Function syntax:
+result = torch.exp2(input, *, out=None)
+
+# Tensor method syntax:
+result = tensor.exp2()
+```
+
+This function is an alias for:
+
+```pseudo
+torch.special.exp2(input, *, out=None)
+```
+
+**Parameters:**
+
+- input (Tensor): The input tensor
+- out (Tensor, optional): The output tensor to store the result
+
+**Return value:**
+
+The `.exp2()` function returns a tensor with the base-2 exponentials of the input tensor, same shape as the input.
+
+## Example
+
+Here's an example of how to use the `.exp2()` function in PyTorch:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([1.0, 2.0, 3.0])
+
+# Compute the base-2 exponential
+y = x.exp2()
+
+print(y)
+```
+
+The output will be:
+
+```shell
+tensor([2., 4., 8.])
+```
+
+In this example, the `.exp2()` function is applied to the tensor `x`, and the result is stored in the tensor `y`. The output will be a tensor containing the base-2 exponentials of the elements in `x`.

From 12979d6a95411b24f57ae1c5f8df6556d08c68b7 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Thu, 21 Aug 2025 19:57:49 +0530
Subject: [PATCH 112/332] [Edit] CSS: Comments (#7492)

---
 content/css/concepts/comments/comments.md | 101 +++++++++++++++++++---
 1 file changed, 90 insertions(+), 11 deletions(-)

diff --git a/content/css/concepts/comments/comments.md b/content/css/concepts/comments/comments.md
index 9bb273b1d7b..cb88c8bc0a6 100644
--- a/content/css/concepts/comments/comments.md
+++ b/content/css/concepts/comments/comments.md
@@ -1,9 +1,9 @@
 ---
 Title: 'Comments'
-Description: 'A comment is a piece of text within a style sheet that is not interpreted by the browser. It can be used to provide additional information to aid in understanding the code. By design, comments have no effect on the layout or styling of a document. Comments, are created by an opening / and closing /. Everything in between is commented out. They can be used on a single line, or across multiple lines: css /* A one-line comment / / A comment'
+Description: 'A comment is a piece of text that is ignored by browsers and provides additional information to aid in understanding the code.'
 Subjects:
-  - 'Web Development'
   - 'Web Design'
+  - 'Web Development'
 Tags:
   - 'Comments'
   - 'Documentation'
@@ -12,15 +12,15 @@ CatalogContent:
   - 'paths/front-end-engineer-career-path'
 ---
 
-A comment is a piece of text within a style sheet that is not interpreted by the browser. It can be used to provide additional information to aid in understanding the code. By design, comments have no effect on the layout or styling of a document.
+A CSS **comment** is a piece of text within a style sheet that is ignored by the browser. It can be used to provide additional information to aid in understanding the code. By design, comments have no effect on the layout or styling of a document.
 
-## Syntax
+## CSS Comments Syntax
 
-Comments, are created by an opening `/*` and closing `*/`. Everything in between is commented out.
+CSS Comments are created by an opening `/*` and closing `*/`. Everything in between is commented out.
 
-They can be used on a single line, or across multiple lines:
+They can be used on a single line or across multiple lines:
 
-```css
+```pseudo
 /* A one-line comment */
 
 /*
@@ -30,16 +30,95 @@ over several lines
 */
 ```
 
-Here is an example use case:
+> **Note:** In CSS, comments cannot be nested. A `/*...*/` comment syntax cannot have another `/*...*/` comment syntax inside. The first closing `*/` ends the comment.
+
+## Example 1: Adding CSS Comments to Explain Styles
+
+This example uses a CSS comment to explain the style applied to the `<body>` element:
+
+```css
+/* This sets the background color of the following element */
+body {
+  background-color: #f5f5f5;
+}
+```
+
+## Example 2: Disabling Styles Using CSS Comments
+
+This example uses a CSS comment to disable the styles applied to the `<span>` element:
 
 ```css
-/* The comment below is used to
-   disable specific styling */
+/*
+This disables the styles applied to the following element
 
 span {
   color: aqua;
   font-size: 1.5em;
 }
+*/
 ```
 
-**Note:** In CSS, comments cannot be nested. A `/*` `*/` comment syntax cannot have another `/*` `*/` comment syntax inside. The first closing `*/` ends the comment.
+## Example 3: Creating Style Sections Using CSS Comments
+
+This example uses CSS comments to create style sections based on the type of elements:
+
+```css
+/*
+=======================
+    Header Styles
+=======================
+*/
+
+header {
+  background: #222;
+  color: white;
+  padding: 20px;
+}
+
+/*
+=======================
+    Footer Styles
+=======================
+*/
+
+footer {
+  background: #333;
+  color: #ccc;
+  text-align: center;
+  padding: 15px;
+}
+```
+
+## Frequently Asked Questions
+
+### 1. How do you comment in CSS?
+
+You comment in CSS using `/*` to start and `*/` to end. For example:
+
+```css
+/* This is a comment */
+```
+
+### 2. How to comment in CSS in VS Code?
+
+In VS Code, you can quickly add or remove CSS comments using keyboard shortcuts:
+
+- **Windows/Linux**: Select the lines and press <kbd>Ctrl + /</kbd>
+- **Mac**: Select the lines and press <kbd>Command + /</kbd>
+
+### 3. How do I comment out multiple lines in CSS?
+
+To comment multiple lines in CSS, simply wrap them all between `/*` and `*/`:
+
+```css
+/*
+h2 {
+  font-size: 24px;
+  color: green;
+}
+
+p {
+  line-height: 1.5;
+}
+*/
+```

From e264e75fcefcff0091e9ca0e8f5ead0c55be8710 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 22 Aug 2025 13:20:56 +0530
Subject: [PATCH 113/332] [Edit] Data Science: One Hot Encoding (#7491)

* [Edit] Data Science: One Hot Encoding

* content tweaks

---------
---
 .../one-hot-encoding/one-hot-encoding.md      | 66 ++++++++++++++++++-
 1 file changed, 63 insertions(+), 3 deletions(-)

diff --git a/content/data-science/concepts/one-hot-encoding/one-hot-encoding.md b/content/data-science/concepts/one-hot-encoding/one-hot-encoding.md
index 9afd13455da..5c735445fd4 100644
--- a/content/data-science/concepts/one-hot-encoding/one-hot-encoding.md
+++ b/content/data-science/concepts/one-hot-encoding/one-hot-encoding.md
@@ -4,7 +4,6 @@ Description: 'One hot encoding is a method of encoding categorical variables as
 Subjects:
   - 'Computer Science'
   - 'Data Science'
-  - 'Machine Learning'
 Tags:
   - 'Data Science'
   - 'Deep Learning'
@@ -13,7 +12,7 @@ CatalogContent:
   - 'paths/build-deep-learning-models-with-tensorflow'
 ---
 
-**One hot encoding** is a method of encoding categorical variables as binary vectors that can be more readily used by [machine learning](https://www.codecademy.com/resources/docs/ai/machine-learning) [algorithms](https://www.codecademy.com/resources/docs/general/algorithm). Algorithms work with numbers such as `0` and `1`, not categorical values like `"Texas"` or `"bicycle"`. However, the data these algorithms are asked to analyze often have values that are encoded categorically. One hot encoding is a process by which those categorical values in the data can be translated into numbers that can be interpreted by those algorithms.
+In Data Science, **one hot encoding** is a method of encoding categorical variables as binary vectors that can be more readily used by [machine learning](https://www.codecademy.com/resources/docs/ai/machine-learning) [algorithms](https://www.codecademy.com/resources/docs/general/algorithm). Algorithms work with numbers such as `0` and `1`, not categorical values like `"Texas"` or `"bicycle"`. However, the data these algorithms are asked to analyze often have values that are encoded categorically. One hot encoding is a process by which those categorical values in the data can be translated into numbers that can be interpreted by those algorithms.
 
 ## Encoding Categorical Values
 
@@ -26,7 +25,7 @@ The process of one hot encoding is as follows:
 
 Depending on the implementation, the encoded values may be represented by actual vector data types, or they may be expanded as additional columns in the data.
 
-## Example
+## Example 1: Categories
 
 Original data:
 
@@ -71,3 +70,64 @@ Applying the vector values as columns to the original data:
 |    B     |  62   |  0  |  1  |  0  |
 |    C     |  65   |  0  |  0  |  1  |
 |    C     |  97   |  0  |  0  |  1  |
+
+## Example 2: Colors
+
+Original data:
+
+| Color | Quantity |
+| :---: | :------: |
+|  Red  |    15    |
+| Blue  |    22    |
+| Green |    13    |
+| Blue  |    30    |
+|  Red  |    10    |
+
+Assigning integer values:
+
+| Color | Integer Value |
+| :---: | :-----------: |
+|  Red  |       0       |
+| Blue  |       1       |
+| Green |       2       |
+
+Assigning vectors:
+
+| Color | Integer Value | Vector  |
+| :---: | :-----------: | ------- |
+|  Red  |       0       | [1,0,0] |
+| Blue  |       1       | [0,1,0] |
+| Green |       2       | [0,0,1] |
+
+Final encoded data:
+
+| Color | Quantity | Red | Blue | Green |
+| :---: | :------: | :-: | :--: | :---: |
+|  Red  |    15    |  1  |  0   |   0   |
+| Blue  |    22    |  0  |  1   |   0   |
+| Green |    13    |  0  |  0   |   1   |
+| Blue  |    30    |  0  |  1   |   0   |
+|  Red  |    10    |  1  |  0   |   0   |
+
+## Frequently Asked Questions
+
+### 1. What do you mean by one hot encoding?
+
+One hot encoding is a useful technique to convert categorical variables into numerical representations by assigning each unique category a binary vector, where one element is `1` and the rest of the elements are `0`.
+
+### 2. What is one-hot and one-cold encoding?
+
+- **One-hot**: Binary vector with `1` for the category, `0` elsewhere; no implied order.
+- **One-cold**: Binary vector with `0` for the category, `1` elsewhere; indicates absence.
+- **Example (A, B, C)**:
+  - A → One-hot: `[1,0,0]`, One-cold: `[0,1,1]`
+  - B → One-hot: `[0,1,0]`, One-cold: `[1,0,1]`
+  - C → One-hot: `[0,0,1]`, One-cold: `[1,1,0]`
+
+### 3. What is the difference between binary and one-hot encoding?
+
+- **Binary encoding**: Represents categories as binary numbers; may imply order.
+- **One-hot encoding**: Represents categories as independent binary vectors with a single `1`; no order implied.
+- **Example (A, B, C)**:
+  - Binary: A → `00`, B → `01`, C → `10`
+  - One-hot: A → `[1,0,0]`, B → `[0,1,0]`, C → `[0,0,1]`

From 3a55e81b16308147e50f31be141602b59f3383f8 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 22 Aug 2025 13:29:50 +0530
Subject: [PATCH 114/332] [Edit] Java: Deque (#7447)

* [Edit] Java: Deque

* minor fixes in faqs

---------
---
 content/java/concepts/deque/deque.md | 128 ++++++++++++++++++++-------
 1 file changed, 98 insertions(+), 30 deletions(-)

diff --git a/content/java/concepts/deque/deque.md b/content/java/concepts/deque/deque.md
index 36a46f9f00c..96579e8f36f 100644
--- a/content/java/concepts/deque/deque.md
+++ b/content/java/concepts/deque/deque.md
@@ -1,34 +1,80 @@
 ---
 Title: 'Deque'
-Description: 'A Deque extends the Queue interface and offers additional methods to access and manipulate items at the top and end of the deque.'
+Description: 'The Deque interface extends the Queue interface and provides methods to access and manipulate items at the top and end of a deque.'
 Subjects:
   - 'Code Foundations'
   - 'Computer Science'
 Tags:
-  - 'Queues'
-  - 'Stacks'
   - 'Collections'
   - 'Interface'
+  - 'Queues'
+  - 'Stacks'
 CatalogContent:
   - 'learn-java'
   - 'paths/computer-science'
 ---
 
-A **Deque** extends the [`Queue`](https://www.codecademy.com/resources/docs/java/queue) interface and is a double-ended queue. It provides methods to add, access, and remove items at the top and end of the deque. Thereby, it can be used as a queue or stack. The `Deque` interface is included in the `java.util` package.
+The Java **`Deque`** interface extends the [`Queue`](https://www.codecademy.com/resources/docs/java/queue) interface and is a double-ended queue. It provides methods to add, access, and remove items at the top and end of a deque. Thereby, it can be used as a queue or stack. The `Deque` interface is included in the `java.util` package.
 
-## Syntax
+## Java `Deque` Syntax
 
 ```pseudo
-import java.util.deque;
+import java.util.Deque;
 
 Deque<DataType> myDeque = new DequeClass<DataType>();
 ```
 
-Where [`DataType`](https://www.codecademy.com/resources/docs/java/data-types) is the data type to be stored in the deque, and `DequeClass` is a class implementing the `Deque` interface, for example, `ArrayDeque` or `LinkedList`.
+In the syntax:
+
+- `DataType`: The [data type](https://www.codecademy.com/resources/docs/java/data-types) to be stored in the deque.
+- `DequeClass`: A class implementing the `Deque` interface, e.g., `ArrayDeque` or `LinkedList`.
+
+## Java `Deque` Methods
+
+This list contains a selection of methods provided by the Java `Deque` interface:
+
+- `.addFirst(item)`: Adds `item` at the top of the `Deque` if possible, otherwise it throws an exception.
+- `.addLast(item)`: Adds `item` at the end of the `Deque` if possible, otherwise it throws an exception.
+- `.getFirst()`: Returns, without removal, the first item of the `Deque`. It throws an exception if the Deque is empty.
+- `.offerLast(item)`: Adds `item` at the end of the `Deque` if possible, otherwise it returns `false`.
+- `.peekFirst()`: Returns, without removal, the first element of the `Deque`. Returns `null` if the `Deque` is empty.
+- `.pollFirst()`: Returns and removes the first item of the `Deque`. Returns `null` if the `Deque` is empty.
+- `.removeFirst()`: Returns and removes the first item of the `Deque`. Throws an exception if the `Deque` is empty.
 
-## Example
+## Example 1: Implementing Java `Deque` Using `LinkedList`
 
-The following is an example of the `Deque` interface implemented by an `ArrayDeque`:
+This example shows how to implement Java `Deque` using `LinkedList`:
+
+```java
+import java.util.Deque;
+import java.util.LinkedList;
+
+public class DequeExample {
+  public static void main(String[] args) {
+    Deque<String> deque = new LinkedList<>();
+
+    deque.addFirst("Apple");
+    deque.addLast("Banana");
+    deque.addFirst("Orange");
+
+    System.out.println("Deque: " + deque);
+
+    deque.removeLast();
+    System.out.println("After removing last: " + deque);
+  }
+}
+```
+
+Here is the output:
+
+```shell
+Deque: [Orange, Apple, Banana]
+After removing last: [Orange, Apple]
+```
+
+## Example 2: Implementing Java `Deque` Using `ArrayDeque`
+
+This example shows how to implement Java `Deque` using `ArrayDeque`:
 
 ```java
 import java.util.Deque;
@@ -37,10 +83,12 @@ import java.util.ArrayDeque;
 public class Main {
   public static void main(String[] args) {
     Deque<String> food = new ArrayDeque<String>();
+
     food.addFirst("Cabbage");
     food.addLast("Sausage");
     food.addFirst("Potatoes");
     food.addLast("Salad");
+
     System.out.println(food);
     System.out.println(food.pollFirst());
     System.out.println(food.peekFirst());
@@ -49,7 +97,7 @@ public class Main {
 }
 ```
 
-The above example results in the following output:
+Here is the output:
 
 ```shell
 [Potatoes, Cabbage, Sausage, Salad]
@@ -58,28 +106,48 @@ Cabbage
 [Cabbage, Sausage, Salad]
 ```
 
-## Methods
+## Example 3: Using Java `Deque` as a Stack
 
-The following list contains a selection of methods provided by the `Deque` interface:
+This example shows how to use Java `Deque` as a stack:
 
-- `.addFirst(item)`: Adds `item` at the top of the `Deque` if possible, otherwise it throws an exception.
-- `.addLast(item)`: Adds `item` at the end of the `Deque` if possible, otherwise it throws an exception.
-- `.getFirst()`: Returns, without removal, the first item of the `Deque`. It throws an exception if the Deque is empty.
-- `.offerLast(item)`: Adds `item` at the end of the `Deque` if possible, otherwise it returns `false`.
-- `.peekFirst()`: Returns, without removal, the first element of the `Deque`. Returns `null` if the `Deque` is empty.
-- `.pollFirst()`: Returns and removes the first item of the `Deque`. Returns `null` if the `Deque` is empty.
-- `.removeFirst()`: Returns and removes the first item of the `Deque`. Throws an exception if the `Deque` is empty.
+```java
+import java.util.Deque;
+import java.util.ArrayDeque;
+
+public class StackExample {
+  public static void main(String[] args) {
+    Deque<Integer> stack = new ArrayDeque<>();
+
+    stack.push(10);
+    stack.push(20);
+    stack.push(30);
+
+    System.out.println("Stack: " + stack);
+
+    System.out.println("Popped: " + stack.pop());
+    System.out.println("After pop: " + stack);
+  }
+}
+```
+
+Here is the output:
+
+```shell
+Stack: [30, 20, 10]
+Popped: 30
+After pop: [20, 10]
+```
+
+## Frequently Asked Questions
+
+### 1. Is `Deque` FIFO or LIFO?
+
+`Deque` can behave as both FIFO (queue) and LIFO (stack) depending on the methods used.
+
+### 2. Is a `Deque` faster than a `Stack`?
 
-### Equivalent methods Stack and Queue
+Yes, `Deque` (like `ArrayDeque`) is faster than `Stack` because `Stack` is synchronized, which adds overhead for single-threaded operations.
 
-The following table lists the equivalent methods for `Queue` and `Stack`:
+### 3. Is Java `Queue` FIFO or LIFO?
 
-|   `Deque` method   | Equivalent `Queue` method | Equivalent `Stack` method |
-| :----------------: | :-----------------------: | :-----------------------: |
-| `.addFirst(item)`  |             -             |       `.push(item)`       |
-|  `.addLast(item)`  |       `.add(item)`        |             -             |
-|   `.getFirst()`    |       `.element()`        |             -             |
-| `.offerLast(item)` |      `.offer(item)`       |             -             |
-|   `.peekFirst()`   |         `.peek()`         |         `.peek()`         |
-|   `.pollFirst()`   |         `.poll()`         |             -             |
-|  `.removeFirst()`  |        `.remove()`        |         `.pop()`          |
+A Java `Queue` follows FIFO (First-In-First-Out) order, meaning elements are removed in the order they were added.

From 0169ae1078e47a0333903e082c48edbc3ef63910 Mon Sep 17 00:00:00 2001
From: GuiCarminati <guicarminati@outlook.com>
Date: Fri, 22 Aug 2025 16:43:35 +0100
Subject: [PATCH 115/332] [Term Entry] Java Queue: add() (#7362) (#7449)

* [Term Entry] Java Queue: add() (#7362)

* minor fixes

* Update add.md

* Format

---------
---
 content/java/concepts/queue/terms/add/add.md |  71 +++++++++++++++++++
 media/java-queue-add.png                     | Bin 0 -> 32262 bytes
 2 files changed, 71 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/add/add.md
 create mode 100644 media/java-queue-add.png

diff --git a/content/java/concepts/queue/terms/add/add.md b/content/java/concepts/queue/terms/add/add.md
new file mode 100644
index 00000000000..625d6fb7a23
--- /dev/null
+++ b/content/java/concepts/queue/terms/add/add.md
@@ -0,0 +1,71 @@
+---
+Title: '.add()'
+Description: 'Inserts an element at the back of the queue.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Methods'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+The **`.add()`** method is a built-in method of the [`Queue`](https://www.codecademy.com/resources/docs/java/queue) interface in Java that inserts an element at the back of the `queue`. It returns true if the element is successfully added. Unlike `.offer()`, which returns false if the insertion fails, `.add()` throws an [`Exception`](https://www.codecademy.com/resources/docs/java/errors). This method is commonly used with implementations such as `LinkedList` and `ArrayDeque`.
+
+## Syntax
+
+```pseudo
+queue_name.add(E element);
+```
+
+**Parameters:**
+
+The `.add()` method requires an `element` as a parameter. The `E` is the type of the `element` parameter, which is the type of elements held in the `queue_name` [collection](https://www.codecademy.com/resources/docs/java/collection).
+
+**Return value:**
+
+The `.add()` method returns `true` upon success. If the queue has a capacity limit and is full, `.add()` throws an `IllegalStateException`.
+
+## Example
+
+In this example, a `Queue` in Java is created using `LinkedList`, elements are added to it, and then the `.add()` method is used to insert an additional element at the end of the queue:
+
+```java
+import java.util.*;
+class JAVA {
+  public static void main(String args[]){
+    Queue<Integer> myQueue = new LinkedList<Integer>();
+    myQueue.add(5);
+    myQueue.add(2);
+    myQueue.add(11);
+    myQueue.add(7);
+    myQueue.add(8);
+
+    // myQueue before adding 3: 5 => 2 => 11 => 7 => 8
+    System.out.println("The elements in the queue are: " + myQueue);
+
+    // adding 3 to myQueue
+    boolean success = myQueue.add(3);
+    System.out.println("3 inserted at the back of the queue: " + success);
+
+    // myQueue after adding 3: 5 => 2 => 11 => 7 => 8 => 3
+    System.out.println("The elements in the queue are: " + myQueue);
+  }
+}
+```
+
+The output generated by this code is:
+
+```shell
+The elements in the queue are: [5, 2, 11, 7, 8]
+3 inserted at the back of the queue: true
+The elements in the queue are: [5, 2, 11, 7, 8, 3]
+```
+
+Visual representation of the `.add()` method:
+
+![A diagram showing the addition of an item to a queue. The top row displays a queue with the numbers 5, 2, 11, 7, and 8. Below, the code "queue_name.add(3);" is shown, with an arrow pointing to the end of the queue. The bottom row shows the updated queue: 5, 2, 11, 7, 8, 3, illustrating that the number 3 was added to the end of the queue.](https://raw.githubusercontent.com/Codecademy/docs/main/media/java-queue-add.png)
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From 45005047c0de166cae041a4b3c6571ae30ee04ab Mon Sep 17 00:00:00 2001
From: Stuart Mosquera <stuartmosquera18@gmail.com>
Date: Fri, 22 Aug 2025 14:17:00 -0300
Subject: [PATCH 116/332] [Term Entry] JavaScript Objects: seal() (#7475)

* create seal.md

* Update seal.md

* Update content/javascript/concepts/objects/terms/seal/seal.md

* Update content/javascript/concepts/objects/terms/seal/seal.md

* Update content/javascript/concepts/objects/terms/seal/seal.md

* Update content/javascript/concepts/objects/terms/seal/seal.md

* Format

---------
---
 .../concepts/objects/terms/seal/seal.md       | 123 ++++++++++++++++++
 1 file changed, 123 insertions(+)
 create mode 100644 content/javascript/concepts/objects/terms/seal/seal.md

diff --git a/content/javascript/concepts/objects/terms/seal/seal.md b/content/javascript/concepts/objects/terms/seal/seal.md
new file mode 100644
index 00000000000..3379ca381af
--- /dev/null
+++ b/content/javascript/concepts/objects/terms/seal/seal.md
@@ -0,0 +1,123 @@
+---
+Title: '.seal()'
+Description: 'Prevents new properties from being added to an object and marks all existing properties as non-configurable'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Methods'
+  - 'Objects'
+  - 'Properties'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`Object.seal()`** static method seals an object, preventing new properties from being added and making all existing properties non-configurable. In other words:
+
+- New properties cannot be added.
+- Existing properties cannot be removed.
+- Property enumerability and configurability cannot be changed.
+
+Unlike [`Object.freeze()`](https://www.codecademy.com/resources/docs/javascript/objects/freeze), objects sealed with `Object.seal()` may still have their existing properties updated if they are writable (`writable: true`).
+
+> **Note:** For debugging purposes, it is good practice to use [`strict mode`](https://www.codecademy.com/resources/docs/javascript/strict-mode) when working with sealed objects, as it helps detect unauthorized modifications and prevents silent errors.
+
+## Syntax
+
+```pseudo
+Object.seal(obj)
+```
+
+**Parameters:**
+
+`obj`: The object to seal.
+
+**Return value:**
+
+The `Object.seal()` method returns the sealed object.
+
+## Example 1: Basic Object Sealing
+
+In this example, the `person` object is sealed. In non-strict mode, attempts to add or remove properties will fail silently (no error is thrown), while modifying writable properties will still work:
+
+```js
+const person = {
+  name: 'Joe',
+  age: 30,
+};
+
+// Sealing the person object
+Object.seal(person);
+
+// Modifying the age property will work
+person.age = 31;
+
+// Attempting to add or delete a property will not work
+person.city = 'Madrid';
+delete person.name;
+
+console.log(person);
+```
+
+The code will produce this output:
+
+```shell
+{ name: 'Joe', age: 31 }
+```
+
+## Example 2: Check Sealed Object
+
+The following example uses the [`Object.isSealed()`](https://www.codecademy.com/resources/docs/javascript/objects/isSealed) to check if the `car` object is sealed. This method returns `true` if the object is sealed, regardless of how it was sealed (e.g., via `Object.seal()` or `Object.freeze()`:
+
+```js
+const car = {
+  brand: 'Audi',
+  model: 'Sedan',
+};
+
+// Sealing the car object
+Object.seal(car);
+
+// This will print 'true' because the car object is sealed
+console.log(Object.isSealed(car));
+
+car.brand = 'Honda';
+car.color = 'red';
+
+console.log(car);
+```
+
+The code will produce this output:
+
+```shell
+true
+{ brand: 'Honda', model: 'Sedan' }
+```
+
+## Codebyte Example: Strict Mode Behavior
+
+This example demonstrates the core functionality of `Object.seal()` by showing what operations are allowed versus prohibited on a sealed object. The sealed object allows modification of existing properties but prevents structural changes like adding new properties or deleting existing ones:
+
+```codebyte/javascript
+'use strict';
+
+const obj = { name: 'John', age: 25 };
+
+Object.seal(obj);
+
+obj.age = 26;
+console.log(obj.age); // 26
+
+try {
+  obj.city = 'NYC'; // Can't add new properties
+} catch (e) {
+  console.log('Cannot add property:', e.message);
+}
+
+try {
+  delete obj.name; // Can't delete existing properties
+} catch (e) {
+  console.log('Cannot delete property:', e.message);
+}
+```

From afd29b50bb75f6575a80834b54a528c7b0cd21fe Mon Sep 17 00:00:00 2001
From: Ariel <ariegonzaguer@gmail.com>
Date: Fri, 22 Aug 2025 11:38:52 -0600
Subject: [PATCH 117/332] Object values (#7484)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Create fromCharCode.md

* Update fromCharCode.md

* Fix formatting and improve clarity in fromCharCode() documentation

* Agregar documentación para el método `Object.values()` en JavaScript

* Eliminar bloque de código comentado en el ejemplo de Codebyte para `fromCharCode()`

* Actualizar values.md

* minor content fixes

* Update values.md

* Update content/javascript/concepts/objects/terms/values/values.md

---------
---
 .../concepts/objects/terms/values/values.md   | 90 +++++++++++++++++++
 1 file changed, 90 insertions(+)
 create mode 100644 content/javascript/concepts/objects/terms/values/values.md

diff --git a/content/javascript/concepts/objects/terms/values/values.md b/content/javascript/concepts/objects/terms/values/values.md
new file mode 100644
index 00000000000..c6c47adc049
--- /dev/null
+++ b/content/javascript/concepts/objects/terms/values/values.md
@@ -0,0 +1,90 @@
+---
+Title: '.values()'
+Description: 'Returns an array containing the values of an object’s own enumerable properties.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'JavaScript'
+  - 'Methods'
+  - 'Objects'
+  - 'Properties'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`Object.values()`** method returns an array containing the values of an object's own enumerable properties. This method is useful when only the values are needed, not the keys.
+
+## Syntax
+
+```pseudo
+Object.values(obj)
+```
+
+**Parameters:**
+
+- `obj`: The object whose own enumerable property values needs to be retrieved.
+
+**Return value:**
+
+- An array of the object’s own enumerable property values, ordered by integer keys first (ascending), then string keys in insertion order.
+
+## Example 1: Basic usage of `Object.values()`
+
+In this example, `Object.values()` creates an array of property values from an object:
+
+```js
+const teamA = {
+  firstName: 'Liany',
+  animal: 'cat',
+  age: 30,
+};
+
+const values = Object.values(teamA);
+console.log(values);
+```
+
+This example results in the following output:
+
+```shell
+["Liany", "cat", 30]
+```
+
+## Example 2: Iterating over values
+
+In this example, `Object.values()` is used with a `for...of` loop to iterate through numeric values in an object:
+
+```js
+const scores = { teamLiany: 100, teamWife: 106, teamPrincess: 142 };
+
+for (const value of Object.values(scores)) {
+  console.log(value);
+}
+```
+
+This example results in the following output:
+
+```shell
+100
+106
+142
+```
+
+## Codebyte Example: `Object.values()` with `.filter()` method to detect booleans in a config object
+
+In this example, `Object.values()` is combined with [`.filter()`](https://www.codecademy.com/resources/docs/javascript/arrays/filter) to extract only boolean values from an object:
+
+```codebyte/javascript
+const catObject = {
+  ears: true,
+  nose: "little",
+  beans: true,
+  wings: false,
+  tails: 1,
+}
+
+const booleanValues = Object.values(catObject).filter((value) => typeof value === "boolean");
+
+console.log(booleanValues);
+```

From dc0e5ee17b8aeaea05907cf2949b2e9f95258ffc Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 23 Aug 2025 20:31:44 +0530
Subject: [PATCH 118/332] [Term Entry] C++ - Pointers: .use_count() (#7494)

* [Term Entry] C++ - Pointers: .use_count()

* Update content/cpp/concepts/pointers/terms/use-count/use-count.md

---------
---
 .../pointers/terms/use-count/use-count.md     | 140 ++++++++++++++++++
 1 file changed, 140 insertions(+)
 create mode 100644 content/cpp/concepts/pointers/terms/use-count/use-count.md

diff --git a/content/cpp/concepts/pointers/terms/use-count/use-count.md b/content/cpp/concepts/pointers/terms/use-count/use-count.md
new file mode 100644
index 00000000000..0a49cb62778
--- /dev/null
+++ b/content/cpp/concepts/pointers/terms/use-count/use-count.md
@@ -0,0 +1,140 @@
+---
+Title: 'use_count()'
+Description: 'Returns the number of shared_ptr objects that share ownership of the same managed object.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Memory'
+  - 'Methods'
+  - 'Objects'
+  - 'Pointers'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`use_count()`** method in C++ is a member function of `std::shared_ptr` that returns the number of `shared_ptr` objects that share ownership of the same managed object. This function provides a way to check how many shared [pointers](https://www.codecademy.com/resources/docs/cpp/pointers) are currently referencing the same resource, which is useful for debugging, resource management, and understanding object lifetime in shared ownership scenarios.
+
+## Syntax
+
+```pseudo
+long use_count() const noexcept;
+```
+
+**Parameters:**
+
+This method takes no parameters.
+
+**Return value:**
+
+Returns a `long` integer representing the number of `std::shared_ptr` instances that share ownership of the managed object. If the `shared_ptr` is empty (does not manage any object), it returns `0`.
+
+## Example 1: Basic Usage of `use_count()`
+
+This example demonstrates the fundamental usage of `use_count()` to track shared ownership:
+
+```cpp
+#include <iostream>
+#include <memory>
+
+int main() {
+  // Create a shared_ptr managing an integer
+  std::shared_ptr<int> ptr1 = std::make_shared<int>(42);
+  std::cout << "After creating ptr1: " << ptr1.use_count() << std::endl;
+
+  // Create another shared_ptr sharing the same object
+  std::shared_ptr<int> ptr2 = ptr1;
+  std::cout << "After creating ptr2: " << ptr1.use_count() << std::endl;
+  std::cout << "ptr2 use_count: " << ptr2.use_count() << std::endl;
+
+  // Create a third shared_ptr
+  std::shared_ptr<int> ptr3 = ptr2;
+  std::cout << "After creating ptr3: " << ptr1.use_count() << std::endl;
+
+  return 0;
+}
+```
+
+This example creates multiple `shared_ptr` objects that share ownership of the same integer. Each time a new `shared_ptr` is created that shares the same object, the reference count increases. All `shared_ptr` instances sharing the same object will report the same use count.
+
+The output of this code is:
+
+```shell
+After creating ptr1: 1
+After creating ptr2: 2
+ptr2 use_count: 2
+After creating ptr3: 3
+```
+
+## Codebyte Example: Resource Management in Classes Using `use_count()`
+
+This example shows how `use_count()` can be used in a real-world scenario for resource management within a class:
+
+```codebyte/cpp
+#include <iostream>
+#include <memory>
+#include <vector>
+
+class ResourceManager {
+private:
+  std::shared_ptr<std::vector<int>> data;
+
+public:
+  ResourceManager() : data(std::make_shared<std::vector<int>>(1000, 0)) {
+    std::cout << "ResourceManager created. Initial use_count: " << data.use_count() << std::endl;
+  }
+
+  // Copy constructor shares the resource
+  ResourceManager(const ResourceManager& other) : data(other.data) {
+    std::cout << "ResourceManager copied. New use_count: " << data.use_count() << std::endl;
+  }
+
+  // Method to get current reference count
+  long getReferenceCount() const {
+    return data.use_count();
+  }
+
+  // Method to check if resource is uniquely owned
+  bool isUniqueOwner() const {
+    return data.use_count() == 1;
+  }
+
+  void processData() {
+    if (isUniqueOwner()) {
+      std::cout << "Safe to modify data - unique ownership" << std::endl;
+      // Modify data safely
+    } else {
+      std::cout << "Data is shared among " << getReferenceCount() << " owners" << std::endl;
+      // Be careful with modifications or create a copy
+    }
+  }
+};
+
+int main() {
+  ResourceManager rm1;
+  rm1.processData();
+
+  ResourceManager rm2 = rm1;  // Share the resource
+  rm1.processData();
+  rm2.processData();
+
+  return 0;
+}
+```
+
+This example demonstrates a practical use case where `use_count()` helps determine whether it's safe to modify shared resources. The `ResourceManager` class uses `shared_ptr` to manage a large vector, and `use_count()` helps determine if the resource is uniquely owned or shared.
+
+## Frequently Asked Questions
+
+### 1. What is the count function in shared_ptr?
+
+The count function in `shared_ptr` is `use_count()`, which returns the number of `shared_ptr` objects that share ownership of the same managed object.
+
+### 2. How do you get the reference count in C++?
+
+You can get the reference count of a `shared_ptr` by calling the `use_count()` method. For example: `long count = my_shared_ptr.use_count();`.
+
+### 3. What is the use of a shared pointer in C++?
+
+A shared pointer (`std::shared_ptr`) allows multiple pointers to share ownership of the same object. It automatically manages memory using reference counting and deletes the object when the last `shared_ptr` is destroyed.

From 096676d58ffa76c5e2cd65bc7002df20f4b80759 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Sat, 23 Aug 2025 21:04:42 +0530
Subject: [PATCH 119/332] [Term Entry] C++ Arrays: begin() (#7493)

* [Term Entry] C++ Arrays: begin()

* Update content/cpp/concepts/arrays/terms/begin/begin.md

* Update content/cpp/concepts/arrays/terms/begin/begin.md

* Update content/cpp/concepts/arrays/terms/begin/begin.md

* Update content/cpp/concepts/arrays/terms/begin/begin.md

* Update content/cpp/concepts/arrays/terms/begin/begin.md

* Update content/cpp/concepts/arrays/terms/begin/begin.md

* Update content/cpp/concepts/arrays/terms/begin/begin.md

* Update content/cpp/concepts/arrays/terms/begin/begin.md

---------
---
 .../cpp/concepts/arrays/terms/begin/begin.md  | 162 ++++++++++++++++++
 1 file changed, 162 insertions(+)
 create mode 100644 content/cpp/concepts/arrays/terms/begin/begin.md

diff --git a/content/cpp/concepts/arrays/terms/begin/begin.md b/content/cpp/concepts/arrays/terms/begin/begin.md
new file mode 100644
index 00000000000..518d45ddce4
--- /dev/null
+++ b/content/cpp/concepts/arrays/terms/begin/begin.md
@@ -0,0 +1,162 @@
+---
+Title: 'begin()'
+Description: 'Returns an iterator pointing to the first element of an array container'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Functions'
+  - 'Iterators'
+  - 'STL'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`begin()`** function is a member function used with C++ array containers and the standard `std::begin()` function that returns an iterator pointing to the first element of an array or array-like container. It provides a standardized way to access the beginning of containers, enabling iteration through elements and compatibility with range-based `for` [loops](https://www.codecademy.com/resources/docs/cpp/loops) and STL algorithms.
+
+## Syntax
+
+For `std::array` containers:
+
+```pseudo
+arrayname.begin()
+```
+
+For regular arrays using `std::begin()`:
+
+```pseudo
+std::begin(arrayname)
+```
+
+**Parameters:**
+
+No parameters are required.
+
+**Returns:**
+
+Returns an iterator (random-access for `std::array`) pointing to the first element.
+
+## Example 1: Basic Iterator Usage with `begin()`
+
+This example demonstrates the basic usage of `begin()` with `std::array` to iterate through elements:
+
+```cpp
+#include <iostream>
+#include <array>
+
+int main() {
+  // Create an array with 5 elements
+  std::array<int, 5> numbers = {10, 20, 30, 40, 50};
+
+  // Use begin() to get iterator to first element
+  auto it = numbers.begin();
+
+  std::cout << "First element: " << *it << std::endl;
+
+  // Iterate through all elements using begin() and end()
+  for (auto iter = numbers.begin(); iter != numbers.end(); ++iter) {
+    std::cout << *iter << " ";
+  }
+  std::cout << std::endl;
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+First element: 10
+10 20 30 40 50
+```
+
+## Example 2: Range-Based `for` Loop With `begin()`
+
+This example shows how `begin()` works behind the scenes with range-based `for` loops in real-world scenarios like processing student grades:
+
+```cpp
+#include <iostream>
+#include <array>
+
+int main() {
+  // Student test scores
+  std::array<int, 6> scores = {85, 92, 78, 96, 88, 91};
+
+  // Calculate average using range-based for loop
+  // (which internally uses begin() and end())
+  int total = 0;
+  for (const auto& score : scores) {
+    total += score;
+  }
+
+  double average = static_cast<double>(total) / scores.size();
+
+  std::cout << "Student Scores: ";
+  for (const auto& score : scores) {
+    std::cout << score << " ";
+  }
+  std::cout << std::endl;
+  std::cout << "Average Score: " << average << std::endl;
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Student Scores: 85 92 78 96 88 91
+Average Score: 88.33
+```
+
+## Codebyte Example: Using `std::begin()` with Regular Arrays
+
+This example demonstrates using `std::begin()` with traditional C-style arrays for compatibility with STL algorithms:
+
+```codebyte/cpp
+#include <iostream>
+#include <algorithm>
+
+int main() {
+  // Regular C-style array
+  int temperatures[] = {72, 75, 68, 80, 77, 73, 69};
+  int size = sizeof(temperatures) / sizeof(temperatures[0]);
+
+  // Use std::begin() and std::end() for compatibility
+  std::cout << "Daily temperatures: ";
+  for (auto it = std::begin(temperatures); it != std::end(temperatures); ++it) {
+    std::cout << *it << "F ";
+  }
+  std::cout << std::endl;
+
+  // Find maximum temperature using STL algorithm
+  auto max_temp = std::max_element(std::begin(temperatures), std::end(temperatures));
+  std::cout << "Highest temperature: " << *max_temp << "F" << std::endl;
+
+  // Sort temperatures
+  std::sort(std::begin(temperatures), std::end(temperatures));
+  std::cout << "Sorted temperatures: ";
+  for (const auto& temp : temperatures) {
+    std::cout << temp << "F ";
+  }
+  std::cout << std::endl;
+
+  return 0;
+}
+```
+
+## Frequently Asked Questions
+
+### 1. What is the difference between `std::array` `data()` and `begin()`?
+
+`data()` returns a pointer to the underlying array data, providing direct access to the raw array elements. `begin()` returns an iterator to the first element, which is designed for safe iteration and compatibility with STL algorithms.
+
+### 2. What does arr `begin()` return?
+
+For `std::array`, `begin()` returns a random-access iterator, not just a bidirectional iterator. Random-access iterators are more powerful and support additional operations.
+
+### 3. What does `begin()` do in a C++ array?
+
+`begin()` provides a standardized way to obtain an iterator to the first element of an array container. It enables iteration through elements, compatibility with range-based `for` loops, and integration with STL algorithms for operations like sorting, searching, and transforming data.

From 36cb98b60f0042bd57073012040ae73a89299c2d Mon Sep 17 00:00:00 2001
From: Yusuff Mariam <mariamyusuff0000@gmail.com>
Date: Sun, 24 Aug 2025 07:45:50 +0100
Subject: [PATCH 120/332] Update ndarray.md (#6948)

* Update ndarray.md

Edited some parts of ndarray for easier comprehension.

* minor fixes

---------
---
 content/numpy/concepts/ndarray/ndarray.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/content/numpy/concepts/ndarray/ndarray.md b/content/numpy/concepts/ndarray/ndarray.md
index 0a8f976fc49..39cf0ca65b8 100644
--- a/content/numpy/concepts/ndarray/ndarray.md
+++ b/content/numpy/concepts/ndarray/ndarray.md
@@ -1,6 +1,6 @@
 ---
 Title: 'ndarray'
-Description: 'An ndarray is a multi-dimensional array of items of the same type and size.'
+Description: 'An ndarray is a NumPy data structure that stores elements of the same data type in a multi-dimensional array'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
@@ -14,13 +14,13 @@ CatalogContent:
   - 'paths/data-science'
 ---
 
-An **`ndarray`** is a multi-dimensional array of items of the same type and size. The number of dimensions and items contained in the array is defined with a [`tuple`](https://www.codecademy.com/resources/docs/python/tuples) of N non-negative integers that specify each dimension's size. An `ndarray` has an associated data-type object which specifies the `dtype` stored in the `ndarray`.
+An **`ndarray`** is a NumPy data structure that stores elements of the same data type in a multi-dimensional array. The number of dimensions and items contained in the array is defined with a [`tuple`](https://www.codecademy.com/resources/docs/python/tuples) of N non-negative integers that specify each dimension's size. An `ndarray` has an associated data-type object which specifies the `dtype` (datatype) stored in the `ndarray`.
 
-Like other container objects in Python, `ndarray` items can be accessed by indexing and slicing the array. There are also a large number of methods and attributes of the `ndarray` that can be used to access and manipulate its contents.
+An `ndarray` is like other container objects in Python, like lists and tuples, but with its unique features. The items in an `ndarray` can be accessed by indexing and slicing the array. There are also a number of methods and attributes of the `ndarray` that can be used to access and manipulate its contents.
 
 Separate instances of an `ndarray` can share contents so that changes in one `ndarray` can be reflected in another. This happens when an `ndarray` is created as a "view" of another `ndarray` known as the "base".
 
-## Creating a `ndarray`
+## Creating an `ndarray`
 
 There are several routines for creating `ndarray` objects. These are preferred to using the `ndarray` constructor, which operates at a very low level. Here are a few examples:
 
@@ -69,7 +69,7 @@ This produces the following output:
 
 ## Operations on an `ndarray`
 
-The standard mathematical [operations](https://www.codecademy.com/resources/docs/python/operators), when applied to `ndarrays` are evaluated internally as equivalent universal functions ("ufuncs") which are functions that operate on `ndarrays` on an element-by-element basis. There are over 60 of these universal functions and there are ufuncs for each mathematical operation. Some of the most popular operations are summarized below:
+The standard mathematical [operations](https://www.codecademy.com/resources/docs/python/operators), when applied to `ndarrays` are evaluated internally as equivalent universal functions ("ufuncs"). Universal functions ("ufuncs") are functions that operate on `ndarrays` on an element-by-element basis. There are over 60 universal functions in total and there are even ufuncs for each mathematical operation. Some of the most popular operations are summarized below:
 
 | Operator | Ufunc                     | Description                                                                         |
 | :------: | ------------------------- | ----------------------------------------------------------------------------------- |

From 8a9cc66930602711678ab4ef02f496ba2f39320a Mon Sep 17 00:00:00 2001
From: scaryhacker420 <cccom245@gmail.com>
Date: Sun, 24 Aug 2025 02:57:47 -0400
Subject: [PATCH 121/332] [Edit] Lua: string.len() (#6943)

* Update len.md

clarified that .len() returns the number of bytes in a string, not characters

* Update len.md

* minor fix

---------
---
 content/lua/concepts/strings/terms/len/len.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/content/lua/concepts/strings/terms/len/len.md b/content/lua/concepts/strings/terms/len/len.md
index 82ed95e7b90..0613d0d9148 100644
--- a/content/lua/concepts/strings/terms/len/len.md
+++ b/content/lua/concepts/strings/terms/len/len.md
@@ -1,6 +1,6 @@
 ---
 Title: '.len()'
-Description: 'Returns the total number of characters present in a specified string.'
+Description: 'Returns the length of a string, measured in bytes.'
 Subjects:
   - 'Code Foundations'
   - 'Computer Science'
@@ -14,7 +14,7 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-The **`.len()`** method returns the total number of characters present in a specified string.
+The **`.len()`** method returns the length of a string, measured in bytes. It is equivalent to using the length operator (`#`).
 
 ## Syntax
 
@@ -24,20 +24,20 @@ string.len(s)
 
 - `s`: The input string whose length is to be determined.
 
-> Note: Calling `string.len()` without any arguments will result in an error.
+> **Note:** Calling `.len()` without any arguments will result in an error.
 
 ## Example
 
 The following example demonstrates the usage of the `.len()` method:
 
 ```lua
-town = "Llanfairpwllgwyngyllgogerychwyrndrobwllllantysiliogogogoch"
-lenExample = string.len(town)
-print(lenExample)
+hello = "hello"
+hello_len = string.len(hello)
+print(hello_len)
 ```
 
 The above code produces the following output:
 
 ```shell
-58
+5
 ```

From 49935812f7609dd7b02de914bbe26aa26c371298 Mon Sep 17 00:00:00 2001
From: David Xia <david@davidxia.com>
Date: Sun, 24 Aug 2025 03:03:14 -0400
Subject: [PATCH 122/332] Update euclidean-algorithm.md (#6824)

* Update euclidean-algorithm.md

Use only GCD instead of HCF and GCD for consistency.

* minor fixes

---------
---
 .../terms/euclidean-algorithm/euclidean-algorithm.md | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/content/general/concepts/algorithm/terms/euclidean-algorithm/euclidean-algorithm.md b/content/general/concepts/algorithm/terms/euclidean-algorithm/euclidean-algorithm.md
index b752c10b34e..3f1640e69d3 100644
--- a/content/general/concepts/algorithm/terms/euclidean-algorithm/euclidean-algorithm.md
+++ b/content/general/concepts/algorithm/terms/euclidean-algorithm/euclidean-algorithm.md
@@ -11,9 +11,9 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-The **Euclidean algorithm** is a recursive algorithm that will find the highest common factor (HCF) of two numbers. The HCF is the largest value that will evenly divide (leave no remainder) both values. It is based on the observation that the HCF can be found by iteratively comparing two values, substituting the difference of the values alternatively, until the values are equivalent. This convergent value is the HCF.
+The **Euclidean algorithm** is a simple and efficient algorithm for finding the greatest common divisor (GCD) of two numbers. It can be implemented both iteratively and recursively. The GCD is the largest value that will evenly divide (leave no remainder) both values. It is based on the observation that the GCD can be found by iteratively comparing two values, substituting the difference of the values alternatively, until the values are equivalent. This convergent value is the GCD.
 
-There are multiple methods to solve and find the highest common factor (HCF) of two numbers. In this explanation, let's explore a basic approach first and then move on to the Euclidean algorithm.
+There are multiple methods to solve and find the GCD of two numbers. In this explanation, let's explore a basic approach first and then move on to the Euclidean algorithm.
 
 ## Method 1
 
@@ -46,7 +46,7 @@ The output for the above code will be:
 
 ## Method 2: A Basic Euclidean Algorithm Approach
 
-In this method, the aim is to compare both `a` and `b`. The process begins by identifying the larger value and subtracting the smaller number from the larger number. The larger number is now replaced with the result of the subtraction. These steps repeat until the values are equal. This convergent value is the HCF.
+In this method, the aim is to compare both `a` and `b`. The process begins by identifying the larger value and subtracting the smaller number from the larger number. The larger number is now replaced with the result of the subtraction. These steps repeat until the values are equal. This convergent value is the GCD.
 
 The following code illustrates this method in Java:
 
@@ -87,7 +87,7 @@ The step by step execution of the above code is as follows:
 - The values are now `a` = 10 and `b` = 5.
 - The process continues, `a` is replaced with `a - b`, resulting in `a` = 10 - 5 = 5.
 - Now `a` and `b` are both equal to 5.
-- At this point, the while loop exits, and `a` is returned. Therefore, the HCF of 15 and 20 is 5.
+- At this point, the while loop exits, and `a` is returned. Therefore, the GCD of 15 and 20 is 5.
 
 ## Method 3: A Recursive Euclidean Approach
 
@@ -123,7 +123,7 @@ The step by step execution of this example is as follows:
 - In the first recursive cycle, the value of `a % b` will be 150. Since 150 is smaller than 500, it cannot be divided evenly by 500. Therefore, the remainder is equal to the original number, which is 150. Consequently, the next arguments for `EuclideanOptimized` are `(500, 150)`.
 - The function is restarted with the arguments `(500, 150)`. Upon entering the function, the `if` statement is encountered. However, since `b` is not equal to `0`, the program moves on to the next recursive cycle with the arguments `(150, 50)` ( 500 % 150 yields 50).
 - Once again, the function is initiated with arguments `(150, 50)`. As in previous iterations, `b` is not equal to `0`, and thus the program moves on to the next recursive cycle. The second argument in this case is determined by calculating the modulus 150 % 50, which yields the argument values `(50, 0)`.
-- In this recursive cycle, when the code enters the `if` statement, the condition `b == 0` is satisfied. Therefore, the function will return `a`, which has a value of 50, the highest common factor for the original arguments.
+- In this recursive cycle, when the code enters the `if` statement, the condition `b == 0` is satisfied. Therefore, the function will return `a`, which has a value of 50, the GCD for the original arguments.
 
 ## Time Complexities
 
@@ -133,7 +133,7 @@ The step by step execution of this example is as follows:
 
 - Method 2:
 
-  - The second example also calculates the GCD using an iterative approach known as the Euclidean algorithm. It repeatedly subtracts the smaller number from the larger number until the two numbers become equal (the GCD). The time complexity of this algorithm depends on the number of iterations required to reach the GCD. In the worst case, where one number is a multiple of the other, the time complexity is _O(max(a, b))_.
+  - The second example also calculates the GCD using an iterative approach known as the Euclidean algorithm. It repeatedly subtracts the smaller number from the larger number until the two numbers become equal (the GCD). The time complexity of this algorithm depends on the number of iterations required to reach the GCD. In the worst case (such as when the numbers are close in value), the subtraction-based approach may take up to _O(max(a, b))_ iterations.
 
 - Method 3:
 

From db4f5331936de6eb0d8823be48c0d8c9d2586c44 Mon Sep 17 00:00:00 2001
From: arisdelacruz <115809819+arisdelacruz@users.noreply.github.com>
Date: Sun, 24 Aug 2025 22:52:46 +0800
Subject: [PATCH 123/332] Created offer entry for java queue interface (#7407)

* Created offer entry for java queue interface

* Update offer.md

* content fixes

* Update content/java/concepts/queue/terms/offer/offer.md

* Update content/java/concepts/queue/terms/offer/offer.md

* Update content/java/concepts/queue/terms/offer/offer.md

* Update content/java/concepts/queue/terms/offer/offer.md

* Update content/java/concepts/queue/terms/offer/offer.md

---------
---
 .../java/concepts/queue/terms/offer/offer.md  | 66 +++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/offer/offer.md

diff --git a/content/java/concepts/queue/terms/offer/offer.md b/content/java/concepts/queue/terms/offer/offer.md
new file mode 100644
index 00000000000..6b71e52a09b
--- /dev/null
+++ b/content/java/concepts/queue/terms/offer/offer.md
@@ -0,0 +1,66 @@
+---
+Title: 'offer()'
+Description: 'Inserts the specified element into the queue if possible without violating capacity limits.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Elements'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+The **`.offer()`** method is part of the Java [`Queue`](https://www.codecademy.com/resources/docs/java/queue) interface and inserts an element at the end of the queue. It returns `true` if the element was added successfully, or `false` if the queue is at capacity and cannot accept new elements.
+
+Unlike the [`add()`](https://www.codecademy.com/resources/docs/java/queue/add) method, which throws an exception when the queue is full, `.offer()` fails, making it useful when there is a need to handle capacity limits without triggering exceptions.
+
+## Syntax
+
+```pseudo
+queue.offer(element)
+```
+
+**Parameters:**
+
+- `element`: The element to be inserted into the queue.
+
+**Return value:**
+
+- Returns `true` if the element was added successfully, `false` if the queue is full.
+
+The `.offer()` method is non-blocking, meaning it returns immediately if the queue is full. Instead of throwing an exception when capacity is reached, it returns `false`, making it safer for capacity-aware operations. Its behavior may vary between bounded and unbounded queue implementations.
+
+## Example: Using `.offer()` in a Print Job Queue System
+
+In this example, a bounded queue with capacity two demonstrates how `.offer()` returns `true` when adding elements within capacity and `false` when the queue is full:
+
+```java
+import java.util.Queue;
+import java.util.concurrent.ArrayBlockingQueue;
+
+public class PrintJobQueue {
+  public static void main(String[] args) {
+    Queue<String> printQueue = new ArrayBlockingQueue<>(2); // capacity of 2
+
+    boolean added = printQueue.offer("Document1");
+    System.out.println("Added Document1: " + added);
+
+    added = printQueue.offer("Document2");
+    System.out.println("Added Document2: " + added);
+
+    // Attempt to add another job to a full queue
+   added = printQueue.offer("Document3");
+   System.out.println("Added Document3: " + added);
+  }
+}
+```
+
+The output generated by this code is:
+
+```shell
+Added Document1: true
+Added Document2: true
+Added Document3: false
+```

From 4555e32b632ddefa97f0c7b8ece6b1e7a83215ee Mon Sep 17 00:00:00 2001
From: jjwheatley <61948277+jjwheatley@users.noreply.github.com>
Date: Sun, 24 Aug 2025 17:04:16 +0200
Subject: [PATCH 124/332] [Term Entry] JavaScript Objects: preventExtensions()
 (#7411)

* [Term Entry] JavaScript Objects: preventExtensions()

* Update preventExtensions.md

* Update preventExtensions.md

* Update content/javascript/concepts/objects/terms/preventExtensions/preventExtensions.md

---------
---
 .../preventExtensions/preventExtensions.md    | 108 ++++++++++++++++++
 1 file changed, 108 insertions(+)
 create mode 100644 content/javascript/concepts/objects/terms/preventExtensions/preventExtensions.md

diff --git a/content/javascript/concepts/objects/terms/preventExtensions/preventExtensions.md b/content/javascript/concepts/objects/terms/preventExtensions/preventExtensions.md
new file mode 100644
index 00000000000..d1e05ffe55a
--- /dev/null
+++ b/content/javascript/concepts/objects/terms/preventExtensions/preventExtensions.md
@@ -0,0 +1,108 @@
+---
+Title: '.preventExtensions()'
+Description: 'Prevents new properties from being added to an object while allowing existing properties to be modified or deleted.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Objects'
+  - 'Properties'
+  - 'Methods'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`Object.preventExtensions()`** method prevents new properties from being added to an object. Unlike [`Object.freeze()`](https://www.codecademy.com/resources/docs/javascript/objects/freeze) or [`Object.seal()`](https://www.codecademy.com/resources/docs/javascript/objects/seal), this method still allows existing properties to be modified or deleted. It returns the same object that was passed to it.
+
+> **Note:** Once an object is made non-extensible, it cannot be made extensible again. This operation is irreversible.
+
+## Syntax
+
+```pseudo
+Object.preventExtensions(obj)
+```
+
+**Parameters:**
+
+- `obj`: The object to make non-extensible.
+
+**Return value:**
+
+Returns the same object that was passed in, now marked as non-extensible.
+
+## Example: Basic Usage of `Object.preventExtensions()`
+
+The following code demonstrates how `Object.preventExtensions()` works:
+
+```js
+const user = {
+  name: 'Arthur',
+  age: 42,
+};
+
+// Show object is extensible
+console.log(Object.isExtensible(user));
+
+// Prevent extensions
+Object.preventExtensions(user);
+
+// Show object is no longer extensible after using Object.preventExtensions()
+console.log(Object.isExtensible(user));
+
+// New properties cannot be added
+user.email = 'john@example.com';
+console.log(user.email);
+
+// Existing properties can be modified
+user.age = 31;
+console.log(user.age);
+
+// Existing properties can be deleted
+delete user.name;
+console.log(user.name);
+```
+
+The output generated by this code is:
+
+```shell
+true
+false
+undefined
+31
+undefined
+```
+
+## Codebyte Example
+
+This example shows the effect of `Object.preventExtensions()` in non-strict mode, and notes how strict mode would throw a `TypeError`:
+
+```codebyte/javascript
+const config = {
+  theme: 'dark',
+  language: 'en'
+};
+
+console.log('Before preventExtensions:', Object.isExtensible(config));
+
+Object.preventExtensions(config);
+
+console.log('After preventExtensions:', Object.isExtensible(config));
+
+// Non-strict mode: fails silently
+config.debug = true;
+console.log('Attempted to add debug property:', config.debug); // undefined
+
+// Strict mode: will throw TypeError if uncommented
+// 'use strict';
+// config.debug = true;
+
+// Modifying existing properties works
+config.theme = 'light';
+console.log('Modified theme:', config.theme); // light
+
+// Deleting existing properties works
+delete config.language;
+console.log('After deleting language:', config); // { theme: 'light' }
+```

From b7334cd3ddff1ec6bf82750215e6784ed800a6c0 Mon Sep 17 00:00:00 2001
From: Ross Wygmans <68482511+rwygmans@users.noreply.github.com>
Date: Sun, 24 Aug 2025 12:57:37 -0400
Subject: [PATCH 125/332] Docs/java queue remove (#7445)

* Add remove operation documentation for Java queue

* Add Java Queue .remove() term: description, syntax, example

* Update remove.md

* Update content/java/concepts/queue/terms/remove/remove.md

* Update content/java/concepts/queue/terms/remove/remove.md

* Update content/java/concepts/queue/terms/remove/remove.md

* Update content/java/concepts/queue/terms/remove/remove.md

* Update content/java/concepts/queue/terms/remove/remove.md

* Update content/java/concepts/queue/terms/remove/remove.md

* Update content/java/concepts/queue/terms/remove/remove.md

---------
---
 .../concepts/queue/terms/remove/remove.md     | 68 +++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/remove/remove.md

diff --git a/content/java/concepts/queue/terms/remove/remove.md b/content/java/concepts/queue/terms/remove/remove.md
new file mode 100644
index 00000000000..ecac05f6013
--- /dev/null
+++ b/content/java/concepts/queue/terms/remove/remove.md
@@ -0,0 +1,68 @@
+---
+Title: 'remove()'
+Description: 'Removes and returns the head (first element) of the queue, throwing an exception if the queue is empty.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Collections'
+  - 'Methods'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+Java's [`Queue`](https://www.codecademy.com/resources/docs/java/queue) interface's **`.remove()`** method removes and returns the element at the head (front) of the queue. If the queue is empty, it throws a `NoSuchElementException`.
+
+## Syntax of Java `.remove()`
+
+```pseudo
+queue.remove()
+```
+
+**Parameters:**
+
+The `.remove()` method does not take any parameters.
+
+**Return value:**
+
+Returns the element removed from the head of the queue.
+
+**Exception:**
+
+Throws `NoSuchElementException` exception if the queue is empty.
+
+> **Note:** Don’t confuse `.remove()` with `remove(Object o)`, which is inherited from [`Collection`](https://www.codecademy.com/resources/docs/java/collection) and removes the first matching element from the queue if it exists.
+
+## Example: Removing the Head Element Using Java Queue `.remove()`
+
+The example here uses a `LinkedList` implementation to demonstrate `.remove()` returning and deleting the head element:
+
+```java
+import java.util.Queue;
+import java.util.LinkedList;
+
+public class RemoveExample {
+  public static void main(String[] args) {
+    Queue<String> queue = new LinkedList<>();
+    queue.offer("Alice");
+    queue.offer("Bob");
+    queue.offer("Charlie");
+
+    System.out.println("Queue before remove: " + queue);
+
+    String head = queue.remove(); // removes and returns "Alice"
+    System.out.println("Removed head: " + head);
+    System.out.println("Queue after remove: " + queue);
+  }
+}
+```
+
+This results in the following output:
+
+```shell
+Queue before remove: [Alice, Bob, Charlie]
+Removed head: Alice
+Queue after remove: [Bob, Charlie]
+```

From 63b8984dd7db0bf3e3f220cfe8461e7fc0969c5c Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 25 Aug 2025 12:24:50 +0530
Subject: [PATCH 126/332] [Edit] Git: Tag (#7506)

* [Edit] Git: Tag

* faq and syntax changed

* fixed formatting

---------
---
 content/git/concepts/tag/tag.md | 68 +++++++++++++++++++++++++++------
 1 file changed, 56 insertions(+), 12 deletions(-)

diff --git a/content/git/concepts/tag/tag.md b/content/git/concepts/tag/tag.md
index 72e99538db1..df169a2ca4a 100644
--- a/content/git/concepts/tag/tag.md
+++ b/content/git/concepts/tag/tag.md
@@ -1,6 +1,6 @@
 ---
 Title: 'Tag'
-Description: 'Creates, lists, deletes, or verifies a commit marker with a GnuPG tag object attached.'
+Description: 'Marks specific points in a repository’s history as important.'
 Subjects:
   - 'Bash/Shell'
   - 'Developer Tools'
@@ -12,15 +12,19 @@ CatalogContent:
   - 'learn-git'
 ---
 
-The **`tag`** command creates, lists, deletes, or verifies a commit marker with a [GnuPG tag object](https://gnupg.org/) attached. This helps add some semantic meaning to a commit message.
+The **`git tag`** command is used to mark particular points in the history of a repository as being important. Typically, Git tags are used to mark release versions (like `v1.0`, `v2.1.3`, etc.), making it easier to identify which [commit](https://www.codecademy.com/resources/docs/git/commit) corresponds to a production release. Unlike [branches](https://www.codecademy.com/resources/docs/git/branch), Git tags are fixed references, i.e., they don’t change or move once created.
 
-## Syntax
+## `git tag` Syntax
 
 ```pseudo
-git tag <flags> <tag-name> <commit-reference> <tag-object>
+git tag [options] <tag-name> [<commit>]
 ```
 
-The `<flags>` include the following:
+- `<options>`: Flags that modify the behavior of `git tag`.
+- `<tag-name>`: The name of the tag to create, list, delete, or verify.
+- `<commit`: The commit hash (or branch name) the tag should point to. Defaults to `HEAD` if omitted.
+
+The `<flags>` include:
 
 |       Flag        | Description                                                                                                                                      |
 | :---------------: | ------------------------------------------------------------------------------------------------------------------------------------------------ |
@@ -31,19 +35,59 @@ The `<flags>` include the following:
 |  `-v`/`--verify`  | One or more existing tags are verified by `<tag-name>`.                                                                                          |
 |   `-l`/`--list`   | All existing tags are listed (same as running just `git tag`).                                                                                   |
 | `-m`/`--message`  | A message for an existing tag is defined instead of prompted. Multiple `-m` messages can be used, but they will combined as separate paragraphs. |
-|   `-F`/`--file`   | A tag message from an existing file is read from the standard input.                                                                             |
+|   `-F`/`--file`   | A tag message is read the tag message from a given file instead of standard input.                                                               |
 |   `-e`/`--edit`   | A tag message made from `-m` or `-F` is edited.                                                                                                  |
 
-The `<tag-name>` refers to the tag object for a commit.
+## Example 1: Creating a Lightweight Git Tag
+
+A lightweight Git tag is just a name pointing to a commit:
+
+```shell
+git tag v1.0
+```
+
+This assigns the tag `v1.0` to the latest commit on the current branch.
+
+## Example 2: Creating an Annotated Git Tag
+
+An annotated Git tag contains extra information such as the tagger’s name, email, and a message.
+
+```shell
+git tag -a v2.0 -m "Release version 2.0"
+```
+
+This assigns the tag `v2.0` and the given message to the latest commit on the current branch.
+
+## Example 3: Tagging a Specific Commit Using `git tag`
+
+The `git tag` command also helps in tagging a specific commit:
+
+```shell
+git tag v1.5 3a1b2c3
+```
 
-The `<commit-reference>` is the commit the tag will be attached to.
+This assigns the tag `v1.5` to the commit `3a1b2c3`.
 
-The `<tag-object>` is usually the commit that the new tag refers to (defaults to the `HEAD`) pointer.
+## Frequently Asked Questions
 
-## Example
+### 1. How do I see the Git tags?
 
-The following is a small example of the `tag` command being used to create and annotate an object for the `HEAD` commit pointer:
+- To view all tags in a repository, run: `git tag`
+- For a more detailed view, including the commits each tag points to, use: `git show-ref --tags`
+- To filter and list tags matching a specific pattern (for example, all version 2 releases), run: `git tag -l "v2.*"`
+
+### 2. Is tag a commit in git?
+
+No. A Git tag is not a commit itself but a pointer to a commit. You can think of it as a bookmark for an important commit in your repository.
+
+### 3. How to push a Git tag?
+
+By default, Git tags are not pushed to remote repositories. To push a Git tag, you must explicitly push it:
 
 ```shell
-git tag -a tag-for-head-pointer
+# Push a single Git tag
+git push origin <tag-name>
+
+# Push all local Git tags
+git push origin --tags
 ```

From 01d9d0295ead0e69e0a77f5bde47e8840aae6904 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 25 Aug 2025 12:38:59 +0530
Subject: [PATCH 127/332] [Edit] CSS: SASS (#7488)

* [Edit] CSS: SASS

* minor typo fixes

---------
---
 content/css/concepts/sass/sass.md | 98 ++++++++++++++++---------------
 1 file changed, 52 insertions(+), 46 deletions(-)

diff --git a/content/css/concepts/sass/sass.md b/content/css/concepts/sass/sass.md
index 3fd1d32307f..9d78d4405fb 100644
--- a/content/css/concepts/sass/sass.md
+++ b/content/css/concepts/sass/sass.md
@@ -1,39 +1,38 @@
 ---
-Title: 'SASS'
-Description: 'SASS (Syntactically Awesome Style Sheets) is a preprocessor scripting language that extends CSS.'
+Title: 'Sass'
+Description: 'Sass (Syntactically Awesome Style Sheets) is a preprocessor scripting language that extends CSS.'
 Subjects:
-  - 'Web Development'
   - 'Web Design'
+  - 'Web Development'
 Tags:
+  - 'CSS'
   - 'Development'
   - 'Preprocessor'
-  - 'CSS'
   - 'Style'
 CatalogContent:
   - 'learn-css'
   - 'paths/front-end-engineer-career-path'
 ---
 
-**SASS (Syntactically Awesome Style Sheets)** is a preprocessor scripting language that extends CSS. It provides additional features and capabilities to make writing CSS more efficient and maintainable. SASS files are compiled into regular CSS before being used by web browsers.
+**Sass (Syntactically Awesome Style Sheets)** is a preprocessor scripting language that extends CSS. It provides additional features and capabilities to make writing CSS more efficient and maintainable. Sass files are compiled into regular CSS before being used by web browsers.
 
-> **Note:** SASS has two syntaxes: SCSS (.scss) and indented syntax (.sass). SCSS (Sassy Cascading Style Sheets) is the most commonly used and is similar to CSS, allowing code to be written with curly braces and semicolons. The indented syntax is less common and uses indentation and newlines instead of curly braces and semicolons. Both syntaxes are supported, and the examples are available in both formats.
+> **Note:** Sass has two syntaxes: SCSS (`.scss`) and indented syntax (`.Sass`). SCSS (Sassy Cascading Style Sheets) is the most commonly used and is similar to CSS, allowing code to be written with curly braces and semicolons. The indented syntax is less common and uses indentation and newlines instead of curly braces and semicolons. Both syntaxes are supported, and the examples are available in both formats.
 
-### SASS Example
+## Getting Started with Sass
 
-```scss
-.container
-  width: 100%
-  margin: 0 auto
-  padding: 20px
+To get started with Sass, follow these steps:
 
-.title
-  font-size: 24px
-  color: #333
-```
+1. Install a Sass compiler or use an online Sass editor.
+2. Create a new Sass file with the `.scss` extension.
+3. Write some Sass code, taking advantage of features like variables, nesting, mixins, and more.
+4. Compile the Sass file into CSS using the chosen method.
+5. Link the compiled CSS file to the HTML document.
+
+## Example: Using Sass
 
-### SCSS Example
+Here is an example using SCSS (.scss) syntax:
 
-```scss
+```css
 .container {
   width: 100%;
   margin: 0 auto;
@@ -46,13 +45,28 @@ CatalogContent:
 }
 ```
 
-## Key Features
+Here is an example using indented syntax (.Sass):
+
+```css
+.container
+  width: 100%
+  margin: 0 auto
+  padding: 20px
+
+.title
+  font-size: 24px
+  color: #333
+```
+
+## Key Features of Sass
+
+Let's explore the key features of Sass one-by-one.
 
 ### Variables
 
-SASS allows for the definition of reusable variables, making it easy to store and reuse values in stylesheets.
+Sass allows for the definition of reusable variables, making it easy to store and reuse values in stylesheets:
 
-```scss
+```css
 $primary-color: #007bff;
 $font-size: 16px;
 
@@ -69,9 +83,9 @@ $font-size: 16px;
 
 ### Nesting
 
-SASS allows nesting of selectors inside one another, providing a cleaner and more readable structure.
+Sass allows nesting of selectors inside one another, providing a cleaner and more readable structure:
 
-```scss
+```css
 .container {
   width: 100%;
 
@@ -92,9 +106,9 @@ SASS allows nesting of selectors inside one another, providing a cleaner and mor
 
 ### Mixins
 
-SASS supports mixins, which are reusable blocks of styles that can be included in different selectors, promoting code reuse.
+Sass supports mixins, which are reusable blocks of styles that can be included in different selectors, promoting code reuse:
 
-```scss
+```css
 @mixin button {
   padding: 10px 20px;
   background-color: #007bff;
@@ -114,9 +128,9 @@ SASS supports mixins, which are reusable blocks of styles that can be included i
 
 ### Partials and Import
 
-SASS allows the splitting of stylesheets into smaller modular files called partials. These partials can be imported into other SASS files using the `@import` syntax. By prefixing partial filenames with an underscore (\_partial.scss), it indicates that they are not meant to be compiled into a separate CSS file. This modular approach, often referred to as partials, helps organize styles and promote reusability in SASS development.
+Sass allows the splitting of stylesheets into smaller modular files called partials. These partials can be imported into other Sass files using the `@import` syntax. By prefixing partial filenames with an underscore (\_partial.scss), it indicates that they are not meant to be compiled into a separate CSS file. This modular approach, often referred to as partials, helps organize styles and promote reusability in Sass development:
 
-```scss
+```css
 // _variables.scss (Partial)
 $primary-color: #007bff;
 $font-size: 16px;
@@ -148,9 +162,9 @@ $font-size: 16px;
 
 ### Extensions and Inheritance
 
-SASS provides the ability to extend and inherit styles, reducing code duplication.
+Sass provides the ability to extend and inherit styles, reducing code duplication:
 
-```scss
+```css
 // Base styles for buttons
 .button {
   padding: 10px 20px;
@@ -175,9 +189,9 @@ SASS provides the ability to extend and inherit styles, reducing code duplicatio
 
 ### Operators
 
-Operators in SASS are symbols that perform mathematical operations on values. They include arithmetic operators ( `+, -, *, /`), comparison operators (`==, !=, >, <`), and logical operators (`and, or, not`). They enable dynamic calculations and conditional logic within SASS stylesheets.
+Operators in Sass are symbols that perform mathematical operations on values. They include arithmetic operators ( `+, -, *, /`), comparison operators (`==, !=, >, <`), and logical operators (`and, or, not`). They enable dynamic calculations and conditional logic within Sass stylesheets:
 
-```scss
+```css
 // Define variables
 $width: 200px;
 $padding: 20px;
@@ -197,24 +211,16 @@ $font-size: 16px;
 }
 ```
 
-## Using SASS
-
-To use SASS, you need to compile your SASS files into regular CSS. There are several ways to compile SASS:
+## Frequently Asked Questions
 
-- **Command Line:** Use the command line to run the SASS compiler and generate CSS files.
-- **Build Tools and Task Runners:** Various build tools and task runners, like Gulp or Webpack, have SASS compilation plugins that automate the process.
-- **Online Editors:** There are online SASS editors that compile SASS code into CSS directly in the browser.
+### 1. What is Sass in CSS?
 
-## Getting Started
+Sass is a CSS preprocessor that provides features like variables, nesting, mixins, and functions. It compiles into regular CSS, making stylesheets more reusable, organized, and easier to maintain.
 
-To get started with SASS, follow these steps:
+### 2. Is Sass better than CSS?
 
-1. Install a SASS compiler or use an online SASS editor.
-2. Create a new SASS file with the `.scss` extension.
-3. Write some SASS code, taking advantage of features like variables, nesting, mixins, and more.
-4. Compile the SASS file into CSS using the chosen method.
-5. Link the compiled CSS file to the HTML document.
+Sass is better for large projects due to variables, nesting, and code reuse. But modern CSS now has variables, nesting, and other features, so for smaller projects plain CSS is often enough.
 
-That's it! Take advantage of the power of SASS to write more flexible and maintainable stylesheets.
+### 3. Is Sass still used in 2025?
 
-Remember to make use of official SASS documentation and online resources to explore more advanced features and techniques.
+Yes, Sass is still used, especially in big projects and frameworks like Bootstrap. However, many new projects lean on modern CSS, PostCSS, or Tailwind, since browsers now support similar features.

From 3cc74283e71ceabd521c99808f886ac863545650 Mon Sep 17 00:00:00 2001
From: Edgard Huerta <124311960+heyhidari@users.noreply.github.com>
Date: Mon, 25 Aug 2025 03:15:13 -0600
Subject: [PATCH 128/332] Term Entry: Python functools: cmp-to-key()  (#7490)

* First commit, definition and syntax.

* Second commit: examples and codebyte. First finished draft.

* Revise and correct grammar, syntax, legibility. Ready for PR

* minor updates

* Update cmp-to-key.md

* Update cmp-to-key.md

* format fixes

---------
---
 .../terms/cmp-to-key/cmp-to-key.md            | 130 ++++++++++++++++++
 1 file changed, 130 insertions(+)
 create mode 100644 content/python/concepts/functools-module/terms/cmp-to-key/cmp-to-key.md

diff --git a/content/python/concepts/functools-module/terms/cmp-to-key/cmp-to-key.md b/content/python/concepts/functools-module/terms/cmp-to-key/cmp-to-key.md
new file mode 100644
index 00000000000..8568b91189b
--- /dev/null
+++ b/content/python/concepts/functools-module/terms/cmp-to-key/cmp-to-key.md
@@ -0,0 +1,130 @@
+---
+Title: 'cmp-to-key()'
+Description: 'Converts an old-style comparison function into a key function, which will be used as the key argument in functions that accept this parameter.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Comparison'
+  - 'Functions'
+  - 'Obsolete'
+  - 'Python'
+  - 'Sort'
+  - 'Sorting Algorithms'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`cmp_to_key()`** [function](https://www.codecademy.com/resources/docs/python/functions) from `functools` is a [**higher-order function**](https://www.codecademy.com/resources/docs/python/functions#:~:text=Higher%2DOrder%20Functions) that converts an old-style comparison function into a key function usable with tools like [`sorted()`](https://www.codecademy.com/resources/docs/python/built-in-functions/sorted), [`min()`](https://www.codecademy.com/resources/docs/python/built-in-functions/min), or [`max()`](https://www.codecademy.com/resources/docs/python/built-in-functions/max). A comparison function is any callable that takes two arguments and returns:
+
+- A negative number if the first argument is less than the second,
+- A positive number if the first argument is greater,
+- Or zero if they are equal.
+
+A key function, by contrast, takes a single argument and returns a value to be used as a sorting key. `cmp_to_key()` is especially useful when migrating code from Python 2 (which supported comparison functions) to Python 3 (which only supports key functions).
+
+## Syntax
+
+The `cmp-to-key()` function is part of the `functools` [module](https://www.codecademy.com/resources/docs/python/modules):
+
+```pseudo
+from functools import cmp_to_key
+
+functools.cmp_to_key(comp_func)
+```
+
+**Parameters:**
+
+`comp_func`: This is a function that takes two arguments and compares them, returning:
+
+- A _negative number_, if the first value is less than the second
+- A _positive number_, if the first value is more than the second
+- Or _zero_, if both values are equal
+
+**Return value:**
+
+Returns a key function that can be used as the key argument in sorting functions like `sorted()`, `list.sort()`, `min()`, or `max()`.
+
+## Example 1
+
+This example demonstrates checking which of two values is heavier (larger) using `cmp_to_key()`:
+
+```py
+from functools import cmp_to_key
+
+# Create a list of numbers
+weights = [20, 200, 10, 1]
+
+# Define the comparison function
+def lighter_to_heavier(a: float, b:float):
+  if a == b: return 0
+  return 1 if a > b else -1
+
+# Reorganize the list from smallest to largest
+print("Unsorted weights", weights)
+weights.sort(key=cmp_to_key(lighter_to_heavier))
+print("Sorted weights", weights)
+```
+
+The output of this code is:
+
+```shell
+Unsorted weights [20, 200, 10, 1]
+Sorted weights [1, 10, 20, 200]
+```
+
+## Example 2
+
+This example reorganizes the list from largest to smallest by modifying the comparison function:
+
+```py
+from functools import cmp_to_key
+
+# Create a list of numbers
+weights = [20, 200, 10, 1]
+
+# Define the comparison function
+def heaviest_to_smallest(a: float, b: float):
+  if a == b: return 0
+  return 1 if a < b else -1
+
+# Reorganize the list from largest to smallest
+print("Unsorted weights", weights)
+weights.sort(key=cmp_to_key(heaviest_to_smallest))
+print("Sorted weights", weights)
+```
+
+The output of this code is:
+
+```shell
+Unsorted weights [20, 200, 10, 1]
+Sorted weights [200, 20, 10, 1]
+```
+
+## Codebyte Example: Reorganize a list of strings by length
+
+This example shows sorting strings by their length using a comparison function converted with `cmp_to_key()`:
+
+```codebyte/python
+from functools import cmp_to_key
+
+# Old-style compare function for the length of two strings
+def compare(x: str, y: str):
+  if len(x) == len(y): return 0
+  return 1 if len(x) > len(y) else -1
+
+# Organize a list of strings according to their length
+strings_unsorted = ["don't make it sad", "don't be so mean", "don't let me go"]
+strings_sorted = sorted(strings_unsorted, key=cmp_to_key(compare))
+
+# Print two possible versions for a verse
+print("First verse lines of Hey Dude, by feel")
+for i in range(len(strings_unsorted)):
+    print("Hey dude,", strings_unsorted[i])
+
+print("----------------")
+print("First verse lines of Hey Dude, by length")
+for i in range(len(strings_sorted)):
+    print("Hey dude,", strings_sorted[i])
+```

From 33b7cb2f2ff2065882c57ba1000c0e25d9c29eb8 Mon Sep 17 00:00:00 2001
From: jjwheatley <61948277+jjwheatley@users.noreply.github.com>
Date: Mon, 25 Aug 2025 11:17:46 +0200
Subject: [PATCH 129/332] [Term Entry] PyTorch - Tensor Operations: imag()
 (#7516)

* [Term Entry] PyTorch - Tensor Operations: imag() (#7505)

* content tweaks

* Update imag.md

* Update imag.md

---------
---
 .../tensor-operations/terms/imag/imag.md      | 114 ++++++++++++++++++
 1 file changed, 114 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/imag/imag.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/imag/imag.md b/content/pytorch/concepts/tensor-operations/terms/imag/imag.md
new file mode 100644
index 00000000000..b951665736d
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/imag/imag.md
@@ -0,0 +1,114 @@
+---
+Title: '.imag'
+Description: 'Returns the imaginary part of each element in a complex tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'AI'
+  - 'Deep Learning'
+  - 'Methods'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.imag`** property in PyTorch returns the imaginary part of each element in a complex [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). For complex numbers, it returns the coefficient of the imaginary unit (`j`), and for real numbers, it returns zero. This method is essential for complex number analysis, signal processing, and mathematical operations involving complex tensors.
+
+## Syntax
+
+```pseudo
+tensor.imag
+```
+
+**Return value:**
+
+The `.imag` property returns a new tensor containing the imaginary parts of each element in the input tensor. The output tensor has the same shape as the input tensor but contains only real values.
+
+## Example 1
+
+The following example demonstrates how to use the `.imag` property to extract imaginary parts from a complex tensor:
+
+```py
+import torch
+
+# Create a complex tensor
+complex_tensor = torch.tensor([[1 + 2j, 3 - 4j], [5 + 0j, -2 + 1j]])
+
+# Extract the imaginary parts
+imaginary_parts = complex_tensor.imag
+
+print("Original Complex Tensor:")
+print(complex_tensor)
+
+print("\nImaginary Parts:")
+print(imaginary_parts)
+```
+
+This example produces the following output:
+
+```shell
+Original Complex Tensor:
+tensor([[1.+2.j, 3.-4.j],
+        [5.+0.j, -2.+1.j]])
+
+Imaginary Parts:
+tensor([[ 2., -4.],
+        [ 0.,  1.]])
+```
+
+In this example:
+
+- `1 + 2j` → imaginary part is `2.0`
+- `3 - 4j` → imaginary part is `-4.0`
+- `5 + 0j` → imaginary part is `0.0` (0.0 is also a real number)
+- `-2 + 1j` → imaginary part is `1.0`
+
+## Example 2
+
+Run the following code to see how `.imag` works with different types of complex numbers:
+
+```py
+import torch
+
+# Create tensors with different complex numbers
+complex_numbers = torch.tensor([1 + 3j, 2 - 5j, 4 + 0j, -1 - 2j])
+
+# Extract imaginary parts
+imag_parts = complex_numbers.imag
+
+print("Complex numbers:", complex_numbers)
+print("Imaginary parts:", imag_parts)
+
+# Create a 2D complex tensor
+matrix_2d = torch.tensor([[1 + 1j, 2 - 2j], [3 + 3j, 4 - 4j]])
+print("\n2D complex matrix:")
+print(matrix_2d)
+print("\nImaginary parts of 2D matrix:")
+print(matrix_2d.imag)
+```
+
+The output of this code is:
+
+```shell
+Complex numbers: tensor([ 1.+3.j,  2.-5.j,  4.+0.j, -1.-2.j])
+Imaginary parts: tensor([ 3., -5.,  0., -2.])
+
+2D complex matrix:
+tensor([[1.+1.j, 2.-2.j],
+        [3.+3.j, 4.-4.j]])
+
+Imaginary parts of 2D matrix:
+tensor([[ 1., -2.],
+        [ 3., -4.]])
+```
+
+The `.imag` property is useful for:
+
+- Separating real and imaginary components for analysis
+- Performing operations specifically on imaginary parts of data
+- Visualizing imaginary components of complex signals
+- Implementing algorithms that require distinct handling of real and imaginary values

From 9149bdf52c4ddf143dccce4860ba9c8c2a6d0236 Mon Sep 17 00:00:00 2001
From: anuj upadhyay <131153761+anuj123upadhyay@users.noreply.github.com>
Date: Mon, 25 Aug 2025 14:54:53 +0530
Subject: [PATCH 130/332] Term Entry: load-factor in unordered_map in cpp
 (#7264)

* Term Entry: load-factor in unordered_map in cpp

* content fixes

* Update load-factor.md

* Update load-factor.md

* Update load-factor.md

---------
---
 .../terms/load-factor/load-factor.md          | 330 ++++++++++++++++++
 1 file changed, 330 insertions(+)
 create mode 100644 content/cpp/concepts/unordered-map/terms/load-factor/load-factor.md

diff --git a/content/cpp/concepts/unordered-map/terms/load-factor/load-factor.md b/content/cpp/concepts/unordered-map/terms/load-factor/load-factor.md
new file mode 100644
index 00000000000..09cae587093
--- /dev/null
+++ b/content/cpp/concepts/unordered-map/terms/load-factor/load-factor.md
@@ -0,0 +1,330 @@
+---
+Title: 'load_factor()'
+Description: 'Returns the current load factor of the unordered map hash table, which is the ratio of element count to bucket count.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Data Structures'
+  - 'Hash Maps'
+  - 'Map'
+  - 'STL'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`load_factor()`** is a member function of the `std::unordered_map` container that returns the current load factor of the hash table. `The load factor is the ratio between the number of elements in the container (its size) and the number of buckets (bucket count)`.
+
+The **load factor** is a crucial measure of a hash table's efficiency. It is calculated by dividing the number of stored elements by the number of available buckets.
+
+```plaintext
+Load Factor = Number of Elements / Number of Buckets
+```
+
+Essentially, the load factor indicates how full the hash table is. A low load factor signifies ample space, leading to faster operations and fewer "collisions" (when multiple items map to the same spot). A high load factor indicates the table is crowded, which can degrade performance because extra work is required to find and store items.
+
+## Syntax
+
+```pseudo
+float load_factor() const;
+```
+
+**Parameters:**
+
+- None
+
+**Return value:**
+
+- Returns a floating-point value representing the container's current load factor (the ratio of size to bucket count).
+
+## Example 1: Basic Usage of `load_factor()`
+
+This example demonstrates the basic usage of `load_factor()` and how it changes as elements are added:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+#include <iomanip>
+
+int main() {
+  // Create an empty unordered_map
+  std::unordered_map<int, std::string> inventory;
+
+  // Display initial stats
+  std::cout << std::fixed << std::setprecision(3);
+  std::cout << "Initial state:" << std::endl;
+  std::cout << "Size: " << inventory.size() << std::endl;
+  std::cout << "Bucket count: " << inventory.bucket_count() << std::endl;
+  std::cout << "Load factor: " << inventory.load_factor() << std::endl;
+  std::cout << "Max load factor: " << inventory.max_load_factor() << std::endl;
+  std::cout << std::endl;
+
+  // Insert elements and observe load factor changes
+  std::cout << "Inserting inventory items:" << std::endl;
+  for (int i = 1; i <= 8; ++i) {
+    inventory[i] = "Item " + std::to_string(i);
+    std::cout << "After inserting " << i << " items:" << std::endl;
+    std::cout << "  Size: " << inventory.size() << std::endl;
+    std::cout << "  Bucket count: " << inventory.bucket_count() << std::endl;
+    std::cout << "  Load factor: " << inventory.load_factor() << std::endl;
+    std::cout << std::endl;
+  }
+
+  return 0;
+}
+```
+
+The output might look something like:
+
+```shell
+Initial state:
+Size: 0
+Bucket count: 1
+Load factor: 0.000
+Max load factor: 1.000
+
+Inserting inventory items:
+After inserting 1 items:
+  Size: 1
+  Bucket count: 13
+  Load factor: 0.077
+
+After inserting 2 items:
+  Size: 2
+  Bucket count: 13
+  Load factor: 0.154
+
+After inserting 3 items:
+  Size: 3
+  Bucket count: 13
+  Load factor: 0.231
+
+After inserting 4 items:
+  Size: 4
+  Bucket count: 13
+  Load factor: 0.308
+
+After inserting 5 items:
+  Size: 5
+  Bucket count: 13
+  Load factor: 0.385
+
+After inserting 6 items:
+  Size: 6
+  Bucket count: 13
+  Load factor: 0.462
+
+After inserting 7 items:
+  Size: 7
+  Bucket count: 13
+  Load factor: 0.538
+
+After inserting 8 items:
+  Size: 8
+  Bucket count: 13
+  Load factor: 0.615
+```
+
+The above code shows how the load factor changes as elements are inserted into the container. Initially, the load factor is 0 (empty container). As elements are added, the load factor increases. When it approaches the max load factor, the container automatically rehashes (increases the bucket count), which reduces the load factor.
+
+## Example 2: Performance Analysis with `load_factor()`
+
+This example demonstrates how to use `load_factor()` to analyze and optimize hash table performance:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+#include <chrono>
+#include <vector>
+#include <iomanip>
+
+// Function to measure average lookup time
+double measureLookupTime(const std::unordered_map<int, std::string>& map, int iterations) {
+  auto start = std::chrono::high_resolution_clock::now();
+
+  // Perform lookups
+  for (int i = 0; i < iterations; ++i) {
+    for (int key = 1; key <= 100; ++key) {
+      map.find(key);
+    }
+  }
+
+  auto end = std::chrono::high_resolution_clock::now();
+  auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
+  return static_cast<double>(duration.count()) / (iterations * 100);
+}
+
+int main() {
+  std::unordered_map<int, std::string> cache;
+
+  std::cout << std::fixed << std::setprecision(4);
+  std::cout << "Performance Analysis with Load Factor:" << std::endl;
+  std::cout << "| Elements | Buckets | Load Factor | Avg Lookup (μs) |" << std::endl;
+  std::cout << "|----------|---------|-------------|-----------------|" << std::endl;
+
+  // Insert elements in batches and measure performance
+  for (int batch = 0; batch < 10; ++batch) {
+    // Add 50 elements per batch
+    for (int i = 1; i <= 50; ++i) {
+      int key = batch * 50 + i;
+      cache[key] = "CachedData" + std::to_string(key);
+    }
+
+    // Measure performance
+    double avgTime = measureLookupTime(cache, 1000);
+
+    std::cout << "| " << std::setw(8) << cache.size()
+              << " | " << std::setw(7) << cache.bucket_count()
+              << " | " << std::setw(11) << cache.load_factor()
+              << " | " << std::setw(15) << avgTime << " |" << std::endl;
+  }
+
+  return 0;
+}
+```
+
+The output will show the relationship between load factor and lookup performance:
+
+```shell
+Performance Analysis with Load Factor:
+| Elements | Buckets | Load Factor | Avg Lookup (μs) |
+|----------|---------|-------------|-----------------|
+|       50 |      59 |      0.8475 |          0.1296 |
+|      100 |     127 |      0.7874 |          0.0939 |
+|      150 |     257 |      0.5837 |          0.0935 |
+|      200 |     257 |      0.7782 |          0.0948 |
+|      250 |     257 |      0.9728 |          0.0983 |
+|      300 |     541 |      0.5545 |          0.0930 |
+|      350 |     541 |      0.6470 |          0.0930 |
+|      400 |     541 |      0.7394 |          0.0755 |
+|      450 |     541 |      0.8318 |          0.0728 |
+|      500 |     541 |      0.9242 |          0.0944 |
+```
+
+This example demonstrates how monitoring the load factor helps understand performance characteristics. It shows the correlation between load factor and lookup time, revealing that performance generally improves when the load factor decreases due to rehashing.
+
+## Codebyte Example: Smart Cache Management
+
+This interactive example shows how to use `load_factor()` for intelligent cache management and performance optimization:
+
+```codebyte/cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+#include <vector>
+#include <iomanip>
+
+class SmartCache {
+private:
+  std::unordered_map<int, std::string> cache;
+  static constexpr double OPTIMAL_LOAD_FACTOR = 0.6;
+
+public:
+  void addItem(int key, const std::string& value) {
+    cache[key] = value;
+
+    // Check if we need to optimize
+    if (cache.load_factor() > OPTIMAL_LOAD_FACTOR * 1.5) {
+      optimize();
+    }
+  }
+
+  void optimize() {
+    std::cout << "Optimizing cache..." << std::endl;
+    std::cout << "Before optimization:" << std::endl;
+    displayStats();
+
+    // Set optimal max load factor
+    cache.max_load_factor(OPTIMAL_LOAD_FACTOR);
+
+    std::cout << "After optimization:" << std::endl;
+    displayStats();
+    std::cout << std::endl;
+  }
+
+  void displayStats() {
+    std::cout << std::fixed << std::setprecision(3);
+    std::cout << "  Size: " << cache.size() << std::endl;
+    std::cout << "  Bucket count: " << cache.bucket_count() << std::endl;
+    std::cout << "  Load factor: " << cache.load_factor() << std::endl;
+    std::cout << "  Max load factor: " << cache.max_load_factor() << std::endl;
+
+    // Calculate distribution statistics
+    size_t emptyBuckets = 0;
+    size_t maxBucketSize = 0;
+
+    for (size_t i = 0; i < cache.bucket_count(); ++i) {
+      size_t bucketSize = cache.bucket_size(i);
+      if (bucketSize == 0) emptyBuckets++;
+      if (bucketSize > maxBucketSize) maxBucketSize = bucketSize;
+    }
+
+    double emptyPercent = (static_cast<double>(emptyBuckets) / cache.bucket_count()) * 100;
+    std::cout << "  Empty buckets: " << emptyBuckets << " (" << emptyPercent << "%)" << std::endl;
+    std::cout << "  Max bucket size: " << maxBucketSize << std::endl;
+  }
+
+  std::string get(int key) {
+    auto it = cache.find(key);
+    return (it != cache.end()) ? it->second : "Not found";
+  }
+};
+
+int main() {
+  SmartCache smartCache;
+
+  std::cout << "Smart Cache Management Demo" << std::endl;
+  std::cout << "============================" << std::endl;
+
+  // Initial state
+  std::cout << "Initial cache state:" << std::endl;
+  smartCache.displayStats();
+  std::cout << std::endl;
+
+  // Add items to trigger optimization
+  std::cout << "Adding 100 cache entries..." << std::endl;
+  for (int i = 1; i <= 100; ++i) {
+    smartCache.addItem(i, "CacheEntry_" + std::to_string(i));
+
+    // Show progress at certain intervals
+    if (i % 25 == 0) {
+      std::cout << "Progress: " << i << " items added" << std::endl;
+      smartCache.displayStats();
+      std::cout << std::endl;
+    }
+  }
+
+  // Test retrieval
+  std::cout << "Testing cache retrieval:" << std::endl;
+  std::cout << "Key 50: " << smartCache.get(50) << std::endl;
+  std::cout << "Key 999: " << smartCache.get(999) << std::endl;
+
+  return 0;
+}
+```
+
+This example demonstrates a practical scenario where monitoring and managing the load factor is crucial for maintaining optimal performance. The smart cache automatically adjusts its configuration based on the load factor to ensure efficient operations.
+
+## Frequently Asked Questions
+
+### 1. What is an ideal load factor for `unordered_map`?
+
+There's no universally ideal load factor as it depends on the hash function quality, key distribution, and performance requirements. However, most implementations perform well with load factors between 0.5 and 0.75. Values around 0.6-0.7 often provide a good balance between memory usage and performance.
+
+### 2. What is the load factor in C++?
+
+The load factor in C++ (specifically for hash-based containers like `unordered_map` and `unordered_set`) measures how full the hash table is. It’s calculated as:
+
+```tex
+load_factor = number_of_elements / number_of_buckets
+```
+
+### 3. Is unordered_map faster than map in C++?
+
+Yes, in most cases:
+
+- `unordered_map` is implemented using hash tables, so average time complexity for insert, delete, and find is O(1).
+- `map` is implemented using a balanced binary search tree (Red-Black tree), so those operations take O(log n) time.

From a301294109b9fc3c32b6686619aa20bffcd85002 Mon Sep 17 00:00:00 2001
From: VeryExcitedGremlin
 <102506719+VeryExcitedGremlin@users.noreply.github.com>
Date: Mon, 25 Aug 2025 03:11:29 -0700
Subject: [PATCH 131/332] New file numpy.random.geometric (#7343)

* Create geometric.md

* Update geometric.md

* minor tweaks

* Update geometric.md

* Adding a backlink

---------
---
 .../terms/geometric/geometric.md              | 85 +++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 content/numpy/concepts/random-module/terms/geometric/geometric.md

diff --git a/content/numpy/concepts/random-module/terms/geometric/geometric.md b/content/numpy/concepts/random-module/terms/geometric/geometric.md
new file mode 100644
index 00000000000..141e6465f2a
--- /dev/null
+++ b/content/numpy/concepts/random-module/terms/geometric/geometric.md
@@ -0,0 +1,85 @@
+---
+Title: '.geometric()'
+Description: 'Generates random samples from the specified geometric distribution.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Data'
+  - 'Numpy'
+  - 'Random'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.geometric()`** function in [`numpy.random`](https://www.codecademy.com/resources/docs/numpy/random-module) returns random samples from a geometric distribution based on a given probability of success, with the option to control the number of samples through the `size` parameter.
+
+## Syntax
+
+```pseudo
+numpy.random.geometric(p, size=None)
+```
+
+**Parameters:**
+
+- `p` (float or array_like): Probability of success for each trial. Must be in the range (0, 1].
+- `size` (int or tuple of ints, optional): Output shape. If `None`, a single value is returned.
+
+**Return value:**
+
+Returns random samples drawn from the geometric distribution, representing the number of trials until the first success.
+
+The probability mass function of geometric distribution is:
+
+$$
+f(k) = (1 - p)^{k - 1} \ p
+$$
+
+`p` in this case is the success probability of an individual trial.
+
+## Example
+
+The following code returns 10 random samples from a geometric distribution with the probability of success set to 0.35:
+
+```py
+import numpy as np
+
+#  Setting the seed ensures reproducible results
+np.random.seed(42)
+
+results = np.random.geometric(p=0.35, size=10)
+print(results)
+```
+
+The output of this code would be:
+
+```shell
+[2 7 4 3 1 1 1 5 3 3]
+```
+
+## Codebyte Example
+
+This Codebyte simulates 100 coin flips with an unfair coin (35% chance of Heads), then counts how many trials resulted in a success on the first attempt:
+
+```codebyte/python
+import numpy as np
+
+# Set the seed for reproduceability
+np.random.seed(33)
+
+# Simulate 100 trials
+results = np.random.geometric(p=0.35, size=100)
+
+# How many trials succeeded on the first attempt?
+print((results == 1).sum())
+```
+
+Here:
+
+- `p=0.35`: Probability of success (e.g., the coin landing on Heads).
+- `size=100`: Generates 100 random samples.
+- `np.random.geometric(p, size)`: Returns the number of trials needed to get the first success.
+
+This example demonstrates how geometric distributions can model binary outcome processes like coin tosses where the goal is to measure how many attempts are needed to succeed once.

From 47e31980a69975188950b6c96053cce33e446b1d Mon Sep 17 00:00:00 2001
From: Silvia Pasciullo <117067632+silviapasc@users.noreply.github.com>
Date: Wed, 27 Aug 2025 10:08:57 +0200
Subject: [PATCH 132/332] New branch created for [Term Entry] Python Requests
 Module: .patch() (#7523)

* [Term Entry] Python Requests Module: .patch()

* Update patch.md

* Update patch.md

* Updated patch.md moved on patch-term-entry branch

* minor typo fix

* fixed formatting

---------
---
 .../requests-module/terms/patch/patch.md      | 128 ++++++++++++++++++
 1 file changed, 128 insertions(+)
 create mode 100644 content/python/concepts/requests-module/terms/patch/patch.md

diff --git a/content/python/concepts/requests-module/terms/patch/patch.md b/content/python/concepts/requests-module/terms/patch/patch.md
new file mode 100644
index 00000000000..4ada78d4b16
--- /dev/null
+++ b/content/python/concepts/requests-module/terms/patch/patch.md
@@ -0,0 +1,128 @@
+---
+Title: '.patch()'
+Description: 'Sends a PATCH request to a specified URL to partially update a resource.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Methods'
+  - 'Modules'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.patch()`** method in the `requests` module is used to send a `PATCH` request to a specified URL, allowing for partial modifications of a resource. When only a subset of data needs to be updated, this method is particularly efficient, as `PATCH` can modify specific fields without requiring the replacement of the entire resource, unlike `PUT` from the [`.put()`](https://www.codecademy.com/resources/docs/python/requests-module/put) method, which overwrites the entire object.
+
+## Syntax
+
+```pseudo
+requests.patch(url, data=None, json=None, **kwargs)
+```
+
+**Parameters:**
+
+- `url`: URL to which the request is sent.
+- `data`: (optional) Dictionary, list of tuples, bytes, or file-like object that contains the data to send.
+- `json`: (optional) A JSON serializable Python object that will be sent as a JSON formatted string.
+- `kwargs`: Additional keyword arguments that can be passed to the method (e.g. `headers`, `auth`, etc.).
+
+**Return value:**
+
+The method returns a `Response` object, which contains various information about the HTTP response returned by the server after processing the `PATCH` request.
+
+## Example 1
+
+In this example, the `.patch()` method is used to send a `PATCH` request to a REST API of a user management system in order to update a user's profile. The user's current data is modeled as a JSON object:
+
+```json
+{
+  "id": 53,
+  "name": "Lorem Ipsum",
+  "email": "lorem.ipsum@example.com"
+}
+```
+
+We just want to update the user's email address without changing the other fields:
+
+```py
+import requests
+
+# URL of the API endpoint for the user
+url = 'https://api.example.com/users/53'
+
+# Updated user field
+updated_data = {
+  "email": "loremipsum@example.com"
+}
+
+# Sending the PATCH request
+response = requests.patch(url, json=updated_data)
+
+# Checking the response
+if response.status_code == 200:
+  updated_user = response.json()
+  print("User updated successfully:", updated_user)
+else:
+  print("Failed to update user:", response.status_code, response.text)
+```
+
+A conditional `if-else` statement is used in this case to output a message indicating a successful data update, when the server status code is `200`, or an unsuccessful update otherwise.
+
+For updating multiple fields, it is sufficient to store all the attributes in the JSON object, as seen in the `updated_multi` variable, and pass it to the `patch()` method:
+
+```py
+updated_multi = {
+  "email": "loremipsum@example.com",
+  "telephone": "+00123456789"
+}
+
+response = requests.patch(url, json=updated_multi)
+```
+
+## Example 2
+
+In the following example, custom headers (such as an Authorization token) are included in the `PATCH` request:
+
+```py
+import requests
+
+url = "https://api.example.com/resource/17"
+
+data = {
+  "description": "This is an updated resource description."
+}
+
+headers = {
+  "Authorization": "Bearer YOUR_ACCESS_TOKEN",
+  "Content-Type": "application/json"
+}
+
+response = requests.patch(url, json=data, headers=headers)
+
+if response.status_code == 200:
+  print("Resource updated successfully:", response.json())
+else:
+  print("Failed to update resource, status code:", response.status_code)
+```
+
+## Codebyte Example
+
+In this example, the `.patch()` method sends a `PATCH` request to a public test API to update a resource’s title:
+
+```codebyte/python
+import requests
+
+# Public test API endpoint (JSONPlaceholder)
+url = 'https://jsonplaceholder.typicode.com/posts/1'
+
+# Data to update
+data = {'title': 'Updated Title'}
+
+# Sending the PATCH request
+response = requests.patch(url, json=data)
+
+print(response.status_code)  # Expect 200 if successful
+print(response.json())       # Prints simulated updated resource
+```

From 7cf38313a60ddefecd591cc99bc51ccbd3dfb4ea Mon Sep 17 00:00:00 2001
From: jjwheatley <61948277+jjwheatley@users.noreply.github.com>
Date: Wed, 27 Aug 2025 11:22:01 +0200
Subject: [PATCH 133/332] [Term Entry] Python functools: update_wrapper()
 (#7481)

* [Term Entry] Python functools: update_wrapper()

* Minor content tweaks

* Update update-wrapper.md

* format fix

---------
---
 .../terms/update-wrapper/update-wrapper.md    | 116 ++++++++++++++++++
 1 file changed, 116 insertions(+)
 create mode 100644 content/python/concepts/functools-module/terms/update-wrapper/update-wrapper.md

diff --git a/content/python/concepts/functools-module/terms/update-wrapper/update-wrapper.md b/content/python/concepts/functools-module/terms/update-wrapper/update-wrapper.md
new file mode 100644
index 00000000000..c5f20a74e11
--- /dev/null
+++ b/content/python/concepts/functools-module/terms/update-wrapper/update-wrapper.md
@@ -0,0 +1,116 @@
+---
+Title: 'update_wrapper()'
+Description: 'Updates a wrapper function to look like the wrapped function by copying attributes like `__name__`, `__doc__`, and `__module__`.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Web Development'
+Tags:
+  - 'Best Practices'
+  - 'Decorators'
+  - 'Functions'
+  - 'Metadata'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`update_wrapper()`** function from the `functools` module updates a wrapper function to look like the wrapped function by copying attributes such as `__name__`, `__doc__`, and `__module__`. This is essential for creating decorators that preserve the original function's metadata, making debugging and introspection much easier.
+
+## Syntax
+
+```pseudo
+from functools import update_wrapper
+
+update_wrapper(wrapper, wrapped, assigned=WRAPPER_ASSIGNMENTS, updated=WRAPPER_UPDATES)
+```
+
+**Parameters:**
+
+- `wrapper`: The function that is acting as a wrapper (e.g., inside a decorator).
+- `wrapped`: The original function being wrapped.
+- `assigned`: A tuple of attribute names to copy (defaults to `WRAPPER_ASSIGNMENTS`).
+- `updated`: A tuple of attribute names to update (defaults to `WRAPPER_UPDATES`).
+
+**Return value:**
+
+The `update_wrapper()` function returns the `wrapper` function itself, after updating it with the attributes of `wrapped`.
+
+## Example
+
+This example demonstrates how `update_wrapper()` preserves the original function's metadata when creating a decorator:
+
+```py
+from functools import update_wrapper
+
+def my_decorator(func):
+  def wrapper(*args, **kwargs):
+    print(f"Calling {func.__name__}")
+    return func(*args, **kwargs)
+
+  # Update the wrapper to look like the original function
+  update_wrapper(wrapper, func)
+  return wrapper
+
+@my_decorator
+def greet(name):
+  """A simple greeting function."""
+  return f"Hello, {name}!"
+
+# Check that metadata is preserved
+print(f"Function name: {greet.__name__}")
+print(f"Function docstring: {greet.__doc__}")
+```
+
+Here is the output:
+
+```shell
+Function name: greet
+Function docstring: A simple greeting function.
+```
+
+## Codebyte Example
+
+This codebyte example shows the difference between using and not using `update_wrapper()`:
+
+```codebyte/python
+from functools import update_wrapper
+
+def decorator_without_update(func):
+  def wrapper(*args, **kwargs):
+    print(f"Executing {func.__name__}")
+    return func(*args, **kwargs)
+  return wrapper
+
+def decorator_with_update(func):
+  def wrapper(*args, **kwargs):
+    print(f"Executing {func.__name__}")
+    return func(*args, **kwargs)
+
+  # This preserves the original function's metadata
+  update_wrapper(wrapper, func)
+  return wrapper
+
+@decorator_without_update
+def function1():
+  """This is function1."""
+  return "Hello from function1"
+
+@decorator_with_update
+def function2():
+  """This is function2."""
+  return "Hello from function2"
+
+# Check metadata preservation
+print("Without update_wrapper:")
+print(f"Name: {function1.__name__}")
+print(f"Docstring: {function1.__doc__}")
+
+print("\nWith update_wrapper:")
+print(f"Name: {function2.__name__}")
+print(f"Docstring: {function2.__doc__}")
+
+# Call the functions
+print(f"\nResult: {function1()}")
+print(f"Result: {function2()}")
+```

From 3e2eec563f8d9f66be6e8d3605b7cba4dfaa2282 Mon Sep 17 00:00:00 2001
From: timberbytes-sina <sina@timberleicht.de>
Date: Wed, 27 Aug 2025 11:25:14 +0200
Subject: [PATCH 134/332] Create floor term for pytorch (#7410)

* Create floor term for pytorch

* output tweaks

* added a backlink

---------
---
 .../tensor-operations/terms/floor/floor.md    | 79 +++++++++++++++++++
 1 file changed, 79 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/floor/floor.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/floor/floor.md b/content/pytorch/concepts/tensor-operations/terms/floor/floor.md
new file mode 100644
index 00000000000..592b76abff6
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/floor/floor.md
@@ -0,0 +1,79 @@
+---
+Title: '.floor()'
+Description: 'Returns a new tensor with each element rounded down to the nearest integer.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Neural Networks'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'learn-python'
+  - 'paths/machine-learning'
+---
+
+In PyTorch, the **`.floor()`** function rounds each element of the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) down to the nearest integer, including negative numbers.
+
+## Syntax
+
+```pseudo
+torch.floor(input, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input tensor whose elements will be rounded down.
+- `out` (optional): A tensor to store the output. Must have the same shape as input.
+
+**Return value:**
+
+Returns a new tensor with each element rounded down to the nearest integer. If out is provided, the result is written there instead.
+
+## Example 1: Basic Rounding Down with `.floor()`
+
+The following example demonstrates the usage of the `.floor()` function:
+
+```py
+import torch
+
+# Define input
+input = torch.randn(4)
+print(input)
+
+# Round down to the nearest integer
+output = torch.floor(input)
+print(output)
+```
+
+A sample output of this code is:
+
+```shell
+tensor([-0.0032, -0.0333, -0.2857, -1.3986])
+tensor([-1., -1., -1., -2.])
+```
+
+## Example 2: Using the `out` Parameter
+
+This example shows how to use the optional `out` argument to store the results in a pre-allocated tensor:
+
+```py
+import torch
+
+# Define input
+input = torch.tensor([1.7, -0.2, 3.9])
+
+# Pre-allocate an output tensor with the same shape
+result = torch.empty_like(input)
+
+# Compute floor and store result in `result` tensor
+torch.floor(input, out=result)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([ 1., -1.,  3.])
+```

From d5d2ce13c8b83201c691c32e63148e80b3f8ca30 Mon Sep 17 00:00:00 2001
From: Prankisster <92308896+Prankisster@users.noreply.github.com>
Date: Wed, 27 Aug 2025 14:57:59 +0530
Subject: [PATCH 135/332] docs: Add new term entry for Hierarchical Inheritance
 in Python (#7107)

* docs: add new term entry for hierarchical inheritance in Python

* content fixes

* Update hierarchical-inheritance.md

* format fixes

---------
---
 .../hierarchical-inheritance.md               | 126 ++++++++++++++++++
 1 file changed, 126 insertions(+)
 create mode 100644 content/python/concepts/inheritance/terms/hierarchical-inheritance/hierarchical-inheritance.md

diff --git a/content/python/concepts/inheritance/terms/hierarchical-inheritance/hierarchical-inheritance.md b/content/python/concepts/inheritance/terms/hierarchical-inheritance/hierarchical-inheritance.md
new file mode 100644
index 00000000000..f029f29180d
--- /dev/null
+++ b/content/python/concepts/inheritance/terms/hierarchical-inheritance/hierarchical-inheritance.md
@@ -0,0 +1,126 @@
+---
+Title: 'Hierarchical Inheritance'
+Description: 'Allows multiple subclasses to inherit from the same parent class, enabling shared behavior across different child classes.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Classes'
+  - 'Inheritance'
+  - 'OOP'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**Hierarchical inheritance** is a type of [object-oriented programming (OOP)](https://www.codecademy.com/resources/blog/object-oriented-programming) structure where multiple subclasses inherit from a single parent class. Each child class gets access to the shared attributes and methods of the base class, while also defining its own specific behavior.
+
+This approach promotes code reuse and consistency, especially when different classes share core functionality but need their own specialized features.
+
+## Syntax
+
+```pseudo
+class Parent:
+  # Base class with shared behavior
+
+class ChildA(Parent):
+  # Inherits from Parent
+
+class ChildB(Parent):
+  # Also inherits from Parent
+```
+
+Here:
+
+- `Parent`: The superclass that defines common functionality.
+- `ChildA` and `ChildB`: Independent subclasses that derive from the same base.
+
+Each subclass can use the base functionality or override it as needed.
+
+## Example
+
+In this example, `Bird` and `Fish` inherit from the `Animal` class and override the `move()` method to define specific behaviors:
+
+```py
+class Animal:
+  def move(self):
+    return "Moves in some way"
+
+class Bird(Animal):
+  def move(self):
+    return "Flies"
+
+class Fish(Animal):
+  def move(self):
+    return "Swims"
+
+b = Bird()
+f = Fish()
+
+print(b.move())
+print(f.move())
+```
+
+The output of this code is:
+
+```shell
+Flies
+Swims
+```
+
+In this code:
+
+- `Bird` and `Fish` both inherit from the `Animal` class.
+- The `move()` method is overridden in each subclass to define movement specific to that type of animal.
+- This demonstrates how each child can provide its own interpretation of a shared method.
+
+An illustration of how hierarchical inheritance is structured:
+
+```plaintext
+        +-------------+
+        |   Animal    |
+        |-------------|
+        |  move()     |
+        +------+------+
+         /          \
+        ▼            ▼
++-------------+   +-------------+
+|    Bird     |   |    Fish     |
+|-------------|   |-------------|
+|  move()     |   |  move()     |
++-------------+   +-------------+
+```
+
+## Codebyte Example
+
+In this example, `Laptop` and `Desktop` inherit shared functionality from the `Device` class while adding their own unique methods:
+
+```codebyte/python
+class Device:
+  def power(self):
+    return "Powered on"
+
+class Laptop(Device):
+  def feature(self):
+    return "Portable computing"
+
+class Desktop(Device):
+  def feature(self):
+    return "High-performance workstation"
+
+l = Laptop()
+d = Desktop()
+
+print(l.power())      # Inherited from Device
+print(l.feature())    # Specific to Laptop
+print(d.power())      # Inherited from Device
+print(d.feature())    # Specific to Desktop
+```
+
+## Benefits of Hierarchical Inheritance
+
+- **Efficient reuse**: Shared logic is centralized in the parent class.
+- **Cleaner structure**: Each subclass can focus on its unique behavior.
+- **Expandable design**: New types can be introduced without modifying existing code.
+
+> Choose hierarchical inheritance when multiple types share standard features but diverge in implementation.

From 9d08086491a5acbd0a517e1f42d3d623b585ab6a Mon Sep 17 00:00:00 2001
From: Taahirah <taahirahbz@gmail.com>
Date: Wed, 27 Aug 2025 13:37:20 +0400
Subject: [PATCH 136/332] New entry term join (#7520)

* [Edit] SQL: SUBSTRING() (#7473)

* [Edit] SQL: SUBSTRING()

* updated an faq and some content tweaks to add keywords

---------

* Join term is added

* major content tweaks

* Update join.md

* Fixed the format issues.

---------
---
 .../concepts/dataframe/terms/join/join.md     | 61 +++++++++++++++++++
 1 file changed, 61 insertions(+)
 create mode 100644 content/pandas/concepts/dataframe/terms/join/join.md

diff --git a/content/pandas/concepts/dataframe/terms/join/join.md b/content/pandas/concepts/dataframe/terms/join/join.md
new file mode 100644
index 00000000000..009d3b408b5
--- /dev/null
+++ b/content/pandas/concepts/dataframe/terms/join/join.md
@@ -0,0 +1,61 @@
+---
+Title: 'join()'
+Description: 'Combines columns from another DataFrame into the calling DataFrame based on the index or a key column.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'DataFrame'
+  - 'Join'
+  - 'Pandas'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In Pandas, **`DataFrame.join()`** combines columns from another DataFrame (or multiple DataFrames) into the calling DataFrame based on the index or a key column. It’s mainly used for merging DataFrames with different sets of columns but shared row indices.
+
+## Syntax
+
+```pseudo
+DataFrame.join(other, on=None, how='left', lsuffix='', rsuffix='', sort=False, validate=None)
+```
+
+**Parameters:**
+
+- `other`: Objects to join with the caller DataFrame.
+- `on`: Column(s) in the caller DataFrame to join on; must match the index in `other` if provided.
+- `how`: Type of join to perform — 'left', 'right', 'outer', or 'inner'.
+- `lsuffix`: Suffix to add to overlapping column names from the left DataFrame.
+- `rsuffix`: Suffix to add to overlapping column names from the right DataFrame.
+- `sort`: Sort the result DataFrame by the join keys if True.
+- `validate`: Checks if the join is of a specific type ('one_to_one', 'one_to_many', 'many_to_one', 'many_to_many').
+
+**Return value:**
+
+Returns a new DataFrame with columns of both joined DataFrames combined according to the join logic.
+
+## Example
+
+In this example, a list of words is joined into a single string separated by spaces:
+
+```py
+words = ['Codecademy', 'is', 'awesome']
+result = ' '.join(words)
+print(result)
+```
+
+This code produces the following output:
+
+```shell
+Codecademy is awesome
+```
+
+## Codebyte Example
+
+In this example, a list of characters is joined into a single string separated by commas:
+
+```codebyte/python
+print(','.join(['a', 'b', 'c']))
+```

From ce2dc135150099bbff0712b93e5a26b80b4ba8f4 Mon Sep 17 00:00:00 2001
From: "freshcake.wtf" <113641512+freshcakewtf@users.noreply.github.com>
Date: Wed, 27 Aug 2025 02:51:55 -0700
Subject: [PATCH 137/332] added in Markdown for singledispathc() documentation
 (#7479)

* added in Markdown for singledispathc() documentation

* Update singledispatch.md

* Adding definition

---------
---
 .../terms/singledispatch/singledispatch.md    | 85 +++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 content/python/concepts/functools-module/terms/singledispatch/singledispatch.md

diff --git a/content/python/concepts/functools-module/terms/singledispatch/singledispatch.md b/content/python/concepts/functools-module/terms/singledispatch/singledispatch.md
new file mode 100644
index 00000000000..954c3ee4f5b
--- /dev/null
+++ b/content/python/concepts/functools-module/terms/singledispatch/singledispatch.md
@@ -0,0 +1,85 @@
+---
+Title: 'singledispatch()'
+Description: 'Turn a function into a single-dispatch generic function, allowing different implementations to be registered based on the type of the first argument.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Function'
+  - 'Decorators'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+In Python, **`functools.singledispatch`** is a [decorator](https://www.codecademy.com/resources/docs/python/decorators) that converts a [function](https://www.codecademy.com/resources/docs/python/functions) into a generic function(a type single function that can perform different actions depending on the data type of the input it receives) with behavior varying by the type of its first argument. It simplifies type-specific logic by allowing separate implementations to be registered instead of relying on multiple [if statements](https://www.codecademy.com/resources/docs/python/conditionals).
+
+## Syntax
+
+The `singledispatch()` function is included in the `functools` [module](https://www.codecademy.com/resources/docs/python/functools-module):
+
+```py
+@functools.singledispatch
+def func(arg, ...):
+  ...
+```
+
+**Parameters:**
+
+- Takes a single callable (function) as the argument when used as a decorator.
+- The decorated function must accept at least one argument (the one whose type determines dispatch).
+
+**Return value:**
+
+- `singledispatch()` returns a single-dispatch generic function object.
+- Additional implementations can be registered for different types using the .register(type) method on the generic function.
+
+## Example 1: Creat a generic function `process`
+
+This example uses the `singledispatch` decorator to handle different input types in a custom way:
+
+```py
+from functools import singledispatch
+
+@singledispatch
+def process(value):
+  print("Processing:", value)
+
+@process.register(int)
+def _(value):
+  print("Processing an integer:", value)
+
+@process.register(str)
+def _(value):
+  print("Processing a string:", value)
+
+# Function calls
+process(10)
+process("Hello")
+```
+
+Here is the output for this code:
+
+```shell
+Processing an integer: 10
+Processing a string: Hello
+```
+
+## Codebyte Example: Basic type-based greeting
+
+This minimal example shows how `singledispatch()` changes behavior based on the type of its first argument:
+
+```codebyte/python
+from functools import singledispatch
+
+@singledispatch
+def greet(value):
+  print("Hello!")
+
+@greet.register(str)
+def _(value):
+  print(f"Hello, {value}!")
+
+greet("Alice")
+greet(42)
+```

From e414962546fa721825ec591b67e8b9abcd6a01d5 Mon Sep 17 00:00:00 2001
From: Nicat <nicat.hacili555@gmail.com>
Date: Wed, 27 Aug 2025 22:13:44 +0400
Subject: [PATCH 138/332] Update equals.md (#7468)

fix typo in variable name
---
 content/java/concepts/strings/terms/equals/equals.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/content/java/concepts/strings/terms/equals/equals.md b/content/java/concepts/strings/terms/equals/equals.md
index 336ae752c04..7e21b3088c3 100644
--- a/content/java/concepts/strings/terms/equals/equals.md
+++ b/content/java/concepts/strings/terms/equals/equals.md
@@ -36,8 +36,8 @@ public class MyClass {
 
     // With string objects
     String myFavoriteLanguage = "Java";
-    String codeNinjasFavoriteLangauge = "Java";
-    System.out.println(myFavoriteLanguage.equals(codeNinjasFavoriteLangauge));
+    String codeNinjasFavoriteLanguage = "Java";
+    System.out.println(myFavoriteLanguage.equals(codeNinjasFavoriteLanguage));
   }
 }
 ```

From 5fcb2bc00672e206315e988acabc30a5a258ba08 Mon Sep 17 00:00:00 2001
From: Eduardo Soto <eduuu.ht@gmail.com>
Date: Wed, 27 Aug 2025 11:21:58 -0700
Subject: [PATCH 139/332] [Concept Entry] C#: Lists (#7521)

* Add C# lists.md

* Add Introduction and Syntax in C# lists.md

* Finish Syntax section in C# lists.md

* Add example in C# lists.md

* Replace example by codebyte example in C# lists.md

* Update lists.md

* Update lists.md

* Update content/c-sharp/concepts/lists/lists.md

* Update content/c-sharp/concepts/lists/lists.md

* Lint

---------
---
 content/c-sharp/concepts/lists/lists.md | 96 +++++++++++++++++++++++++
 1 file changed, 96 insertions(+)
 create mode 100644 content/c-sharp/concepts/lists/lists.md

diff --git a/content/c-sharp/concepts/lists/lists.md b/content/c-sharp/concepts/lists/lists.md
new file mode 100644
index 00000000000..924dec6b2d4
--- /dev/null
+++ b/content/c-sharp/concepts/lists/lists.md
@@ -0,0 +1,96 @@
+---
+Title: 'Lists'
+Description: 'A List in C# is a dynamic data structure that stores multiple objects of a specified type.'
+Subjects:
+  - 'Computer Science'
+  - 'Code Foundations'
+  - 'Developer Tools'
+Tags:
+  - 'Data Structures'
+  - 'Lists'
+CatalogContent:
+  - 'learn-c-sharp'
+  - 'paths/computer-science'
+---
+
+A **`List`** in [C#](https://www.codecademy.com/resources/docs/c-sharp) is a dynamic [data structure](https://www.codecademy.com/resources/docs/general/data-structures) that stores multiple objects of a specified type. These objects can be accessed by their zero-based index. Unlike [arrays](https://www.codecademy.com/resources/docs/c-sharp/arrays). Lists can grow to accommodate a very large number of elements (up to about 2 billion), limited primarily by available system memory and the maximum value of an integer index."
+
+## Syntax
+
+> **Note:** Before creating a list, include the `System.Collections.Generic` namespace.
+
+There are two common ways to create a `List` in C#:
+
+```pseudo
+// Creating a List without any elements
+List<T> myList = new List<T>();
+```
+
+Or alternatively:
+
+```pseudo
+// Creating a List with three elements
+List<T> myList = new List<T> { element1, element2, element3 };
+```
+
+**Parameters:**
+
+- `T`: Represents any data type.
+- `element`: Any object or variable of type `T`.
+
+## Example: Creating and Accessing a List
+
+In this example, a list is created, numbers are added, and elements are accessed by their index:
+
+```cs
+using System;
+using System.Collections.Generic;
+
+class Program
+{
+  static void Main()
+  {
+    // Create a list of integers
+    List<int> numbers = new List<int>();
+
+    // Add elements to the list
+    numbers.Add(10);
+    numbers.Add(20);
+    numbers.Add(30);
+
+    // Access elements by index
+    Console.WriteLine(numbers[0]);
+    Console.WriteLine(numbers[1]);
+    Console.WriteLine(numbers[2]);
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+10
+20
+30
+```
+
+## Codebyte Example: Printing elements in a List
+
+This example creates a new `List` that stores three numbers. Since each element has an index, we can print each element in the `numbers` list by its index:
+
+```codebyte/csharp
+using System;
+using System.Collections.Generic;
+
+public class Test
+{
+  public static void Main()
+  {
+    List<int> numbers = new List<int> { 2, 5, 10 };
+
+    Console.WriteLine(numbers[0]);
+    Console.WriteLine(numbers[1]);
+    Console.WriteLine(numbers[2]);
+  }
+}
+```

From 9b1798b7206244e9d5ce9777fb09c876d38608b2 Mon Sep 17 00:00:00 2001
From: Atul Deshpande <deshpandeatul05@gmail.com>
Date: Wed, 27 Aug 2025 23:59:06 +0530
Subject: [PATCH 140/332] [Term Entry] PyTorch Tensor Operations:
 .floor_divide() (#7472)

* Create floor-divide.md

* minor tweaks

* Update content/pytorch/concepts/tensor-operations/terms/floor-divide/floor-divide.md

* Update content/pytorch/concepts/tensor-operations/terms/floor-divide/floor-divide.md

---------
---
 .../terms/floor-divide/floor-divide.md        | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/floor-divide/floor-divide.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/floor-divide/floor-divide.md b/content/pytorch/concepts/tensor-operations/terms/floor-divide/floor-divide.md
new file mode 100644
index 00000000000..e6176442b4a
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/floor-divide/floor-divide.md
@@ -0,0 +1,55 @@
+---
+Title: '.floor_divide()'
+Description: 'Computes element-wise division of tensors (or tensor and scalar) and applies floor rounding.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.floor_divide()`** function divides the `input` by other element-wise and rounds each quotient down to the nearest integer, returning the floored result as a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It supports broadcasting, type promotion, and both integer and floating-point operands. The operation can be expressed as:
+
+$$\text{out}_i = \text{floor}(\frac{\text{input}_i}{\text{other}_i})$$
+
+## Syntax
+
+```pseudo
+torch.floor_divide(input, other, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor(dividend).
+- `other`: Tensor or Number(divisor).
+- `out` (Optional): A tensor to store the output. If provided, the result is written to this tensor.
+
+**Return value:**
+
+It returns a new tensor of the same shape as the `input`, containing the result of element-wise division and rounds the result of the division down to the nearest integer.
+
+## Example
+
+In this example, we use `floor_divide()` to perform divison of two tensors `x` and `y` :
+
+```py
+import torch
+
+x = torch.tensor([4.0, 3.0])
+
+y = torch.tensor([2.0, 2.0])
+
+print(torch.floor_divide(x, y))
+```
+
+The output of this code is:
+
+```shell
+tensor([2., 1.])
+```

From 989fcb725c08f3ecae149e2538f8d5de0e5bc84c Mon Sep 17 00:00:00 2001
From: Taahirah <taahirahbz@gmail.com>
Date: Thu, 28 Aug 2025 11:00:29 +0400
Subject: [PATCH 141/332] Added md file for poll term (#7477)

* Added md file for poll term

* content fixes

* Update poll.md

* Tag order fix

* comment fix

* format fixes

---------
---
 .../java/concepts/queue/terms/poll/poll.md    | 66 +++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/poll/poll.md

diff --git a/content/java/concepts/queue/terms/poll/poll.md b/content/java/concepts/queue/terms/poll/poll.md
new file mode 100644
index 00000000000..eaa25809a2c
--- /dev/null
+++ b/content/java/concepts/queue/terms/poll/poll.md
@@ -0,0 +1,66 @@
+---
+Title: 'poll()'
+Description: 'Retrieves and removes the head of the queue, or returns null if the queue is empty.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Java'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+In Java, the **`poll()`** method of a queue retrieves and removes the head element, or returns `null` if the queue is empty.
+
+## Syntax
+
+```pseudo
+E poll()
+```
+
+**Parameters:**
+
+The `poll()` method does not take any parameters.
+
+**Return value:**
+
+- Returns the head element (`E`) of the queue and removes it.
+- Returns `null` if the queue is empty.
+
+## Example
+
+In this example, a queue is used to store elements and the `poll()` method processes them one by one in FIFO order:
+
+```java
+import java.util.Queue;
+import java.util.LinkedList;
+
+public class PollQueueExample {
+  public static void main(String[] args) {
+    // Create a queue
+    Queue<String> queue = new LinkedList<>();
+
+    // Add elements to the queue
+    queue.add("A");
+    queue.add("B");
+    queue.add("C");
+
+    // Process elements
+    while (!queue.isEmpty()) {
+      // Removes and returns the head of the queue
+      String element = queue.poll();
+      System.out.println("Processing element: " + element);
+    }
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Processing element: A
+Processing element: B
+Processing element: C
+```

From b1476c37a5eb8520d7bd1e6fecb7a97afe403dbf Mon Sep 17 00:00:00 2001
From: tech025 <LeetchWeb2025@gmail.com>
Date: Thu, 28 Aug 2025 06:15:42 -0400
Subject: [PATCH 142/332] .roundsuffix() entry (#7437)

* Create metadata for topic

* Create brief definition of subject

* Create syntax section for subject

* Added example section and edited syntax section

* Edit example section.

* Add one case-sensitive example in example section.

* Create codebyte section

* Edit second example in  examples section

* Update removesuffix.md

* fomating and lint fix

---------
---
 .../terms/removesuffix/removesuffix.md        | 77 +++++++++++++++++++
 1 file changed, 77 insertions(+)
 create mode 100644 content/python/concepts/strings/terms/removesuffix/removesuffix.md

diff --git a/content/python/concepts/strings/terms/removesuffix/removesuffix.md b/content/python/concepts/strings/terms/removesuffix/removesuffix.md
new file mode 100644
index 00000000000..b57c75a9869
--- /dev/null
+++ b/content/python/concepts/strings/terms/removesuffix/removesuffix.md
@@ -0,0 +1,77 @@
+---
+Title: '.removesuffix()'
+Description: 'Returns a copy of a string with the specified suffix removed, if present.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Methods'
+  - 'Strings'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`str.removesuffix()`** method returns a new string with the specified suffix removed, if present. If the string does not end with the given suffix, the original string is returned unchanged. This method is case-sensitive and does not modify the original string.
+
+## Syntax
+
+```pseudo
+string_name.removesuffix(suffix)
+```
+
+**Parameters:**
+
+- `suffix`: The string to remove from the end of the original string.
+
+**Return value:**
+
+A new string with the suffix removed if it exists, otherwise, the original string.
+
+## Example 1: Removing a file extension
+
+This method can be used to remove a file extension when the suffix matches exactly:
+
+```py
+file_type = "Cat Store.docx"
+result = file_type.removesuffix('.docx')
+print(result)
+```
+
+The output would look like this:
+
+```shell
+Cat Store
+```
+
+## Example 2: Case sensitivity
+
+`.removesuffix()` is case-sensitive, so, if the case does not match exactly, the suffix is not removed:
+
+```py
+statement = "And when I silently snuck up on my mom, I jumped up and exclaimed 'BOO!'"
+result = statement.removesuffix('Boo!')
+print(result)
+```
+
+Here's the output:
+
+```shell
+And when I silently snuck up on my mom, I jumped up and exclaimed 'BOO!'
+```
+
+## Example 3: Removing text from a sentence
+
+The suffix must match the exact ending of the string, including punctuation:
+
+```py
+quote = 'Do or do not, there is no try (Yoda).'
+result = quote.removesuffix(' (Yoda).')
+print(result)
+```
+
+The output for this code would look like this:
+
+```shell
+Do or do not, there is no try
+```

From 2767fa96705ff515c3edaf12e8a4d77842384b5c Mon Sep 17 00:00:00 2001
From: Stuart Mosquera <stuartmosquera18@gmail.com>
Date: Thu, 28 Aug 2025 07:22:50 -0300
Subject: [PATCH 143/332] [Term Entry] Python Strings: .removeprefix() (#7444)

* create removeprefix.md

* rewrite variable name in second approach

* Update removeprefix.md

* Update removeprefix.md

* fixing hedaer

* Removed the Codebyte section due to compiler error

---------
---
 .../terms/removeprefix/removeprefix.md        | 69 +++++++++++++++++++
 1 file changed, 69 insertions(+)
 create mode 100644 content/python/concepts/strings/terms/removeprefix/removeprefix.md

diff --git a/content/python/concepts/strings/terms/removeprefix/removeprefix.md b/content/python/concepts/strings/terms/removeprefix/removeprefix.md
new file mode 100644
index 00000000000..842c9075e02
--- /dev/null
+++ b/content/python/concepts/strings/terms/removeprefix/removeprefix.md
@@ -0,0 +1,69 @@
+---
+Title: '.removeprefix()'
+Description: 'Returns a copy of a string with the specified prefix removed, if present.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Strings'
+  - 'Methods'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.removeprefix()`** method is a built-in [string](https://www.codecademy.com/resources/docs/python/strings) method that returns a new string with the specified prefix removed, if present. If the string does not start with the given prefix, the original string is returned unchanged. This method is case-sensitive and does not modify the original string.
+
+## Syntax
+
+```pseudo
+string.removeprefix(prefix)
+```
+
+**Parameters:**
+
+`prefix`: The substring to remove from the beginning of the string.
+
+**Return value:**
+
+A new string with the prefix removed if it exists, otherwise, the original string.
+
+## Example 1: Basic Prefix Removal
+
+In this example, a matching prefix is removed from a string, or the string is left unchanged if no match is found:
+
+```py
+original_string = "Python3.9"
+result = original_string.removeprefix("Python")
+result2 = original_string.removeprefix("JavaScript")
+
+print(original_string)
+print(result)
+print(result2)
+```
+
+The code will produce this output:
+
+```shell
+Python3.9
+3.9
+Python3.9
+```
+
+## Example 2: Cleaning file paths
+
+In this example, a base directory path is stripped from a full file path to get a relative path:
+
+```py
+base_path = "/home/user/"
+absolute_file = "/home/user/project/data/file.txt"
+relative_file = absolute_file.removeprefix(base_path)
+
+print(relative_file)
+```
+
+The code will produce this output:
+
+```shell
+project/data/file.txt
+```

From 244932e3ce79917c348c688e0cb94352b41a6615 Mon Sep 17 00:00:00 2001
From: Anamol <44775373+AnamolR@users.noreply.github.com>
Date: Thu, 28 Aug 2025 11:26:52 +0100
Subject: [PATCH 144/332] [Edit] Deliverables: Add Types and Conditions (#6552)

* [Edit] Deliverables:Add Types and Conditions

* Update deliverables.md

* minor changes

---------
---
 .../concepts/deliverables/deliverables.md     | 22 +++++++++++++++++++
 1 file changed, 22 insertions(+)

diff --git a/content/uiux/concepts/deliverables/deliverables.md b/content/uiux/concepts/deliverables/deliverables.md
index a0a1d43df5d..b5e496179ff 100644
--- a/content/uiux/concepts/deliverables/deliverables.md
+++ b/content/uiux/concepts/deliverables/deliverables.md
@@ -14,3 +14,25 @@ CatalogContent:
 **Deliverables** are what is produced when working toward a goal or outcome.
 
 In the world of [user interface](https://www.codecademy.com/resources/docs/uiux/ui-design) and [user experience](https://www.codecademy.com/resources/docs/uiux/ux-design) design, deliverables such as [user research](https://www.codecademy.com/resources/docs/uiux/user-research), [sketches](https://www.codecademy.com/resources/docs/uiux/sketching), [wireframes](https://www.codecademy.com/resources/docs/uiux/wireframe), and prototypes are several milestone deliverables to create in the product development process.
+
+## Types of UX Deliverables
+
+UX deliverables vary depending on the project phase, team size, and goals. Some of the most common types include:
+
+- **User research reports:** Summarize interviews, surveys, usability tests, or diary studies findings. Often includes themes, insights, and opportunities.
+- **Personas:** Representations of user types, including behaviors, goals, and pain points. Personas help teams align on who they are designing for.
+- **Customer journey maps:** Visual timelines of a user's interaction with a product or service, highlighting touchpoints, emotions, and pain points.
+- **Task flows and user flows:** Diagrams showing step-by-step paths a user takes to complete specific tasks or reach a goal.
+- **Wireframes:** Low-fidelity layouts that outline basic structure and content without detailed styling. Used to align on the layout early.
+- **Prototypes:** Interactive versions of a design used for testing or stakeholder demos. They may be low-fidelity (clickable wireframes) or high-fidelity (polished UI mockups).
+- **Design systems or UI kits:** Collections of reusable components, styles, and patterns to ensure consistency across an interface.
+- **Accessibility documentation:** Notes or specs highlighting how the design meets accessibility standards, such as contrast ratios or keyboard navigability.
+
+## When are Deliverables Created
+
+UX deliverables are created throughout the **design process**, from early discovery to final handoff:
+
+- **During discovery and research:** Research plans, interview scripts, personas, and research summaries are common early-phase deliverables.
+- **During design and exploration:** Wireframes, sketches, mood boards, or early prototypes are shared to get alignment on structure and direction.
+- **During testing and iteration:** Updated prototypes, annotated screens, or usability test plans and results are created to capture progress and findings.
+- **During delivery or handoff:** Final designs, redlines, interaction specs, and documentation are packaged for handoff to engineering or development teams.

From 5932b988bf97efd70c278762d10c186dc0c54494 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Thu, 28 Aug 2025 20:55:54 +0530
Subject: [PATCH 145/332] [Edit] Git: Reset (#7469)

---
 content/git/concepts/reset/reset.md | 66 +++++++++++++++++++++--------
 1 file changed, 48 insertions(+), 18 deletions(-)

diff --git a/content/git/concepts/reset/reset.md b/content/git/concepts/reset/reset.md
index 044b5bcfe4f..f2c9705b416 100644
--- a/content/git/concepts/reset/reset.md
+++ b/content/git/concepts/reset/reset.md
@@ -1,32 +1,32 @@
 ---
 Title: 'Reset'
-Description: 'The git reset command is used to set the HEAD pointer back to a previous commit and optionally undo staged changes and the working tree.'
+Description: 'Undoes changes by moving the HEAD pointer to a different commit.'
 Subjects:
   - 'Bash/Shell'
   - 'Developer Tools'
 Tags:
+  - 'Bash/Shell'
   - 'Git'
+  - 'GitHub'
   - 'Version Control'
 CatalogContent:
   - 'learn-the-command-line'
   - 'learn-git'
 ---
 
-The **`reset`** command is used to change the state of the Git repository or undo commits.
+The **`git reset`** command undoes changes by moving the HEAD pointer (which indicates the current commit) to a different commit in the repository's history. It can also affect the staging area (index) and the working directory.
 
-> **Note:** This command is ideal for undoing uncommitted changes made in a private, local repository. For undoing changes in a public, remote repository, the `revert` command is recommended.
+> **Note:** This command is ideal for undoing uncommitted changes made in a private, local repository. For undoing changes in a public, remote repository, the `git revert` command is recommended.
 
-## Syntax
+## Git Reset Syntax
 
 ```pseudo
-git reset <mode-option> <commit-reference>
+git reset <mode-options> <commit-reference>
 ```
 
-This is run in the [terminal](https://www.codecademy.com/resources/docs/command-line/terminal). The `<mode-options>` and `<commit-reference>` are discussed in more detail below.
-
 ### Mode Options
 
-The `<mode-options>` refer to how far `reset` will go when rolling back changes to a previous commit, including:
+The `<mode-options>` flag refers to how far `git reset` will go when rolling back changes to a previous commit, including:
 
 - Where the `HEAD` is pointing towards (usually done with just `git reset`).
 - Whether the staging area or index, reflects the commit the `HEAD` is now pointing towards.
@@ -38,43 +38,41 @@ More specifically, these modes include:
 - `--mixed`: In addition to moving the `HEAD` pointer to an earlier commit, the staging area is cleared to reflect the changes made in that commit (this runs by default).
 - `--hard`: This goes one step further and resets the working tree to reflect the previous commit reflected in the staging area and the `HEAD` pointer.
 
-If, for example, an error was made in a text file,`example.txt`, and the changes were accidentally [added](https://www.codecademy.com/resources/docs/git/add) and [committed](https://www.codecademy.com/resources/docs/git/commit), `git reset` can be used to go back to the state before that commit was made.
-
 ### Referencing Commits
 
-The `commit-reference` refers to a commit's unique hash, or save point, that was generated after creation. This hash is a long string that is a mix of characters and numbers that is usually represented by a shorter version: `05df67f9066c8ddd95c8d7bb2137acfb8b18e167` -> `05df67f`
+The `<commit-reference>` flag refers to a commit's unique hash, or save point, that was generated after creation. This hash is a long string that is a mix of characters and numbers that is usually represented by a shorter version: `05df67f9066c8ddd95c8d7bb2137acfb8b18e167` -> `05df67f`
 
 `git reset` can be used with either the commit hash or with the `HEAD` keyword, which refers to the commit being viewed on the currently checked-out branch.
 
-Alternatively, a filename can be used in place of the `commit-reference` to undo a `git add` for a file that wasn't meant to be staged for commit.
+Alternatively, a filename can be used in place of `<commit-reference>` to undo a `git add` for a file that wasn't meant to be staged for commit.
 
-## Example
+## Example: Using Git Reset
 
-This is what the terminal would look like after creating a commit by accident on the `main` branch and running [a `git status` check](https://www.codecademy.com/resources/docs/git/status):
+This is what the terminal would look like after creating a commit by accident on the `main` branch and running a [`git status`](https://www.codecademy.com/resources/docs/git/status) check:
 
 ```shell
 On branch main
 nothing to commit, working tree clean
 ```
 
-The text above indicates the following:
+The text indicates that:
 
 - The `main` branch is up to date, with the `HEAD` pointing towards the most recent commit.
 - There is nothing to commit in the staging area.
 - New changes haven't been made yet in the working tree, hence why it is "clean".
 
-To set the `HEAD` back by one commit as well as clear the staging area, one of the following commands can be run:
+To set the `HEAD` back by one commit as well as clear the staging area, one of these commands can be run:
 
 ```shell
 git reset HEAD~1
 git reset --mixed HEAD~1
 ```
 
-Since the `--mixed` mode runs by default, both of the commands are identical in function. This will do the following:
+Since the `--mixed` mode runs by default, both of the commands are identical in function. Upon running one of these:
 
 - It will move the `HEAD` pointer back by one (`~1`) commit.
 - The staging area will be cleared of changes.
-- The overall state of the `main` branch is set to before changes in `example.txt` were added to the staging area for the previous commit.
+- The overall state of the `main` branch is set to the state before changes in `example.txt` were added to the staging area for the previous commit.
 
 If `git status` is run once more, this should appear on the terminal:
 
@@ -87,3 +85,35 @@ Changes not staged for commit:
 
 no changes added to commit (use "git add" and/or "git commit -a")
 ```
+
+## Git Reset vs. Git Revert
+
+| Feature            | `git reset`                                                                          | `git revert`                                                                                    |
+| ------------------ | ------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------- |
+| **Purpose**        | Moves the current branch’s `HEAD` to a specific commit, changing the commit history. | Creates a new commit which reverts the changes from a specific commit without altering history. |
+| **History Impact** | Rewrites history (dangerous for shared branches).                                    | Preserves history (safe for shared branches).                                                   |
+| **Data Loss Risk** | Possible (especially with `--hard`, which deletes changes).                          | No data loss — original commit remains in history.                                              |
+| **Use Case**       | Remove or modify commits before pushing (cleanup, rebase).                           | Safely undo changes in public/shared branches.                                                  |
+
+## Frequently Asked Questions
+
+### 1. What does `git reset` do?
+
+`git reset` moves the current branch's `HEAD` to a specified commit. Depending on the mode (`--soft`, `--mixed`, or `--hard`), it can also change the staging area and working directory:
+
+- `--soft`: Moves `HEAD` only, keeps all changes staged.
+- `--mixed` (Default): Moves `HEAD` and resets the staging area, keeps changes in working directory.
+- `--hard`: Moves `HEAD` and discards both staged and working directory changes (data loss possible).
+
+### 2. What is the difference between `git reset` and `git revert`?
+
+- `git reset`: Rewrites commit history, moving `HEAD` to a different commit. Can remove commits entirely (dangerous for shared branches).
+- `git revert`: Creates a new commit which reverts the changes from a previous commit while keeping the history intact (safe for shared branches).
+
+### 3. Is `git reset` a good idea?
+
+It depends:
+
+- **Good idea**: When cleaning up local commits before pushing (private branches).
+- **Risky**: On public/shared branches because it rewrites history and can cause conflicts for collaborators.
+- **Rule of Thumb**: Use `git reset` for local/private history cleanup; use `git revert` for undoing changes in shared/public branches.

From ad664fd2b03e8df88726acaa1bede7741b43df37 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Thu, 28 Aug 2025 22:58:53 +0530
Subject: [PATCH 146/332] [Edit] React: Context (#7519)

* [Edit] React: Context

* Removed example

---------
---
 content/react/concepts/context/context.md | 33 ++++++++++++++++++-----
 1 file changed, 27 insertions(+), 6 deletions(-)

diff --git a/content/react/concepts/context/context.md b/content/react/concepts/context/context.md
index 86b99e505dc..66b11905f35 100644
--- a/content/react/concepts/context/context.md
+++ b/content/react/concepts/context/context.md
@@ -1,7 +1,8 @@
 ---
 Title: 'Context'
-Description: 'In React, Context can be used to manage state globally without the need of prop drilling.'
+Description: 'Enables data sharing across the component tree without passing props down manually at every level.'
 Subjects:
+  - 'Computer Science'
   - 'Web Development'
 Tags:
   - 'Components'
@@ -11,12 +12,32 @@ CatalogContent:
   - 'paths/front-end-engineer-career-path'
 ---
 
-The **Context** API in [React](https://www.codecademy.com/resources/docs/react) is an easy way to manage the state of some information. It lets the parent [component](https://www.codecademy.com/resources/docs/react/components) pass the information down to any other component further down the tree hierarchy without needing to pass it as a [prop](https://www.codecademy.com/resources/docs/react/props). It can be used in combination with the [`useState()`](https://www.codecademy.com/resources/docs/react/hooks/useState) hook to change the state. Typical use cases are passing themes (e.g. color, paddings, font sizes, etc.) or the authenticated user.
+**Context** in React is a powerful mechanism that enables data sharing across the component tree without the need to pass props down manually at every level. Context solves the "prop drilling" problem by allowing components to access shared state or data directly, regardless of their position in the component hierarchy. Context should be used when multiple components at different nesting levels need access to the same data, such as user authentication status, theme preferences, or application settings.
 
-## Benefit
+## Implementation Methods
 
-Normally, information on values is passed between components as props. But sometimes it has to be passed down several levels in the tree, also called `prop drilling`. In larger applications, this can be complicated and lead to code that is hard to maintain. With `Context` this is no longer necessary.
+Context is implemented using three core React APIs:
 
-## API Implementation
+- [`createContext()`](https://www.codecademy.com/resources/docs/react/context/createContext): Creates a new context object that can hold and share data
+- `Context.Provider`: A component that supplies the context value to its descendants
+- [`useContext()`](https://www.codecademy.com/resources/docs/react/context/createContext): A React hook that consumes context values within functional components
 
-To implement the Context API, it's necessary to first create the Context using [`createContext()`](https://www.codecademy.com/resources/docs/react/context/createContext). Afterward, the [`useContext()`](https://www.codecademy.com/resources/docs/react/hooks/useContext) hook can be used to read the context from the appropriate component.
+The typical setup is:
+
+1. Create a context using `createContext()` with an optional default value.
+2. Wrap components needing access in `Context.Provider` and pass the shared `value` via the value prop.
+3. Use `useContext()` in child components to consume the nearest context value.
+
+## Frequently Asked Questions
+
+### 1. Why do we need to use Context?
+
+It avoids passing props through multiple layers when many components need the same data. This makes code easier to maintain.
+
+### 2. Is React Context a hook?
+
+No, React Context is not a hook. Context is a feature consisting of `createContext()` and Provider/Consumer components. However, `useContext()` is a hook that allows functional components to consume context values.
+
+### 3. When to use React Context vs Redux?
+
+Use Context for simpler state management like themes, user data, or small-to-medium applications. Choose Redux for complex applications with frequent state updates, complex state logic, and when you need advanced debugging tools.

From 66c910d4fb002afde6620b92be8a73c0f7fb7d1f Mon Sep 17 00:00:00 2001
From: Tukesh Kumar <115998898+Tukesh1@users.noreply.github.com>
Date: Fri, 29 Aug 2025 19:57:34 +0530
Subject: [PATCH 147/332] [Term Entry] CSS Transform Functions: translateZ()

* Added CSS translateZ() transform function documentation

* Update translateZ.md

* added HTML code and output gif

* Fixed examples and actual output image

* minor fixes

* Minor changes

---------
---
 .../terms/translateZ/translateZ.md            | 174 ++++++++++++++++++
 media/css-translateZ-neg.png                  | Bin 0 -> 62476 bytes
 media/css-translateZ-pos.png                  | Bin 0 -> 81162 bytes
 3 files changed, 174 insertions(+)
 create mode 100644 content/css/concepts/transform-functions/terms/translateZ/translateZ.md
 create mode 100644 media/css-translateZ-neg.png
 create mode 100644 media/css-translateZ-pos.png

diff --git a/content/css/concepts/transform-functions/terms/translateZ/translateZ.md b/content/css/concepts/transform-functions/terms/translateZ/translateZ.md
new file mode 100644
index 00000000000..5fc247ea4ac
--- /dev/null
+++ b/content/css/concepts/transform-functions/terms/translateZ/translateZ.md
@@ -0,0 +1,174 @@
+---
+Title: 'translateZ()'
+Description: 'Moves an element along the Z-axis in 3D space.'
+Subjects:
+  - 'Web Design'
+  - 'Web Development'
+Tags:
+  - 'Functions'
+  - 'Positioning'
+CatalogContent:
+  - 'learn-css'
+  - 'paths/front-end-engineer-career-path'
+---
+
+In CSS, the **`translateZ()`** function moves an element along the Z-axis in 3D space, creating depth by moving the element closer to or farther from the viewer. For this effect to be visible, the element or its parent must have a `perspective` property set.
+
+## Syntax
+
+```pseudo
+transform: translateZ(<length>);
+```
+
+The required `<length>` value can use any valid CSS length unit, such as `px`, `em`, `rem`, `cm`, etc.
+
+- A positive value moves the element closer to the viewer.
+- A negative value moves the element farther away.
+
+> **Note:** Percentage values are not supported because the Z-axis has no intrinsic size reference like width or height.
+
+The `perspective` property is essential for `translateZ()` to have a visible effect. Without a `perspective` defined, `translateZ()` still applies but appears visually the same as a 2D transform, so no depth is perceived.
+
+Perspective can be applied on a parent container:
+
+```css
+.container {
+  perspective: 300px;
+}
+```
+
+Or, within the transform using:
+
+```css
+transform: perspective(300px) translateZ(100px);
+```
+
+## Example 1
+
+In this example, an element with a `.effected-box` class is moved `100px` closer to the viewer:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>CSS translateZ() function</title>
+    <style>
+      body {
+        text-align: center;
+        padding: 30px;
+        font-family: Arial, sans-serif;
+      }
+      .boxes {
+        display: flex;
+        justify-content: center;
+        gap: 90px;
+        margin: 60px 0;
+      }
+      .box {
+        width: 150px;
+        height: 150px;
+        background: #3498db;
+        display: flex;
+        align-items: center;
+        justify-content: center;
+        color: white;
+        font-weight: bold;
+      }
+      .label {
+        font-size: 16px;
+        font-weight: bold;
+        margin-top: 45px;
+      }
+      /* translateZ(+100px) - moves element closer, makes it look bigger */
+      .closer-box {
+        transform: perspective(300px) translateZ(+100px);
+      }
+      /* Normal position, no movement on Z-axis */
+      .original-box {
+        background: #95a5a6;
+      }
+    </style>
+  </head>
+  <body>
+    <div class="boxes">
+      <div class="box-container">
+        <div class="box original-box">Before</div>
+        <div class="label">translateZ(0)<br /><small>Default state</small></div>
+      </div>
+      <div class="box-container">
+        <div class="box closer-box">After</div>
+        <div class="label">translateZ(+100px)<br /><small>Applied</small></div>
+      </div>
+    </div>
+  </body>
+</html>
+```
+
+The element appears larger because it's moved closer to the viewer:
+
+![Positive translateZ example](https://raw.githubusercontent.com/Codecademy/docs/main/media/css-translateZ-pos.png)
+
+## Example 2
+
+In this example, an element with a `.effected-box` class is moved away from the viewer by `-100px`:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>CSS translateZ() function</title>
+    <style>
+      body {
+        text-align: center;
+        padding: 30px;
+        font-family: Arial, sans-serif;
+      }
+      .boxes {
+        display: flex;
+        justify-content: center;
+        gap: 80px;
+        margin: 60px 0;
+      }
+      .box {
+        width: 150px;
+        height: 150px;
+        background: #3498db;
+        display: flex;
+        align-items: center;
+        justify-content: center;
+        color: white;
+        font-weight: bold;
+      }
+      .label {
+        font-size: 16px;
+        font-weight: bold;
+        margin-top: 45px;
+      }
+      /* translateZ(-100px) - moves element farther, makes it look smaller */
+      .effected-box {
+        transform: perspective(300px) translateZ(-100px);
+      }
+      /* Normal position, no movement on Z-axis */
+      .original-box {
+        background: #95a5a6;
+      }
+    </style>
+  </head>
+  <body>
+    <div class="boxes">
+      <div class="box-container">
+        <div class="box original-box">Before</div>
+        <div class="label">translateZ(0)<br /><small>Default state</small></div>
+      </div>
+      <div class="box-container">
+        <div class="box effected-box">After</div>
+        <div class="label">translateZ(-100px)<br /><small>Applied</small></div>
+      </div>
+    </div>
+  </body>
+</html>
+```
+
+The element appears smaller because it's moved farther from the viewer:
+
+![Negative translateZ example](https://raw.githubusercontent.com/Codecademy/docs/main/media/css-translateZ-neg.png)
diff --git a/media/css-translateZ-neg.png b/media/css-translateZ-neg.png
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From f99e92a450a26f119946a94a556dedfa4092ffd7 Mon Sep 17 00:00:00 2001
From: Ariel <ariegonzaguer@gmail.com>
Date: Fri, 29 Aug 2025 08:36:03 -0600
Subject: [PATCH 148/332] [Term Entry] CSS Transform Functions: scaleX()
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Agregar documentación para la función scaleX() en CSS

* Corregir formato de encabezado en la documentación de scaleX()

* Corregir formato de encabezado en la sección de parámetros de scaleX()

* Update scaleX.md

* fixed formatting

* Agregar ejemplos y mejorar la documentación de la función scaleX() en CSS

* correción de formato

* Update scaleX.md

* Minor changes

---------
---
 .../terms/scaleX/scaleX.md                    |  61 ++++++++++++++++++
 media/scaleX-Ejemplo.png                      | Bin 0 -> 219551 bytes
 2 files changed, 61 insertions(+)
 create mode 100644 content/css/concepts/transform-functions/terms/scaleX/scaleX.md
 create mode 100644 media/scaleX-Ejemplo.png

diff --git a/content/css/concepts/transform-functions/terms/scaleX/scaleX.md b/content/css/concepts/transform-functions/terms/scaleX/scaleX.md
new file mode 100644
index 00000000000..3dd2a25685c
--- /dev/null
+++ b/content/css/concepts/transform-functions/terms/scaleX/scaleX.md
@@ -0,0 +1,61 @@
+---
+Title: 'scaleX()'
+Description: 'Applies a scaling transformation to an element along the X-axis.'
+Subjects:
+  - 'Web Design'
+  - 'Web Development'
+Tags:
+  - 'CSS'
+  - 'Functions'
+  - 'Positioning'
+CatalogContent:
+  - 'learn-css'
+  - 'paths/front-end-engineer-career-path'
+---
+
+In CSS, The **`scaleX()`** function in CSS is used to apply a scaling transformation to an element along the X-axis. This means that the element will be stretched or compressed horizontally.
+
+## Syntax
+
+```pseudo
+transform: scaleX(s);
+```
+
+**Parameters:**
+
+- `s`: A number that specifies the scaling factor. A value of `1` means no scaling, values greater than `1` enlarge the element, values between `0` and `1` reduce its size, and negative values flip the element horizontally.
+
+## Example
+
+In this example, the element with the class `bigCat` will be scaled to twice its original width:
+
+The CSS code is:
+
+```css
+.regularSizeCat {
+  transform: scaleX(1);
+}
+
+.bigCat {
+  transform: scaleX(2);
+}
+```
+
+The HTML code is:
+
+```html
+<html>
+  <head> </head>
+  <body style="background-color: #020617;">
+    <p>Regular Cat</p>
+
+    <img class="regularSizeCat" src="cat.jpg" alt="Regular Size Cat" />
+
+    <p>Scaled-X Cat</p>
+
+    <img class="bigCat" src="cat.jpg" alt="Big Cat" />
+  </body>
+</html>
+```
+
+![Regular cat and horizontally stretched cat using CSS scaleX()](https://raw.githubusercontent.com/Codecademy/docs/main/media/scaleX-Ejemplo.png)
diff --git a/media/scaleX-Ejemplo.png b/media/scaleX-Ejemplo.png
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From ea4e596fdf9696f1e7cff5dcef02954af129deb5 Mon Sep 17 00:00:00 2001
From: Atul Deshpande <deshpandeatul05@gmail.com>
Date: Fri, 29 Aug 2025 20:13:45 +0530
Subject: [PATCH 149/332] [Term Entry] PyTorch Tensor Operations: .frexp()

* Create frexp.md

* minor changes

* Update frexp.md

---------
---
 .../tensor-operations/terms/frexp/frexp.md    | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/frexp/frexp.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/frexp/frexp.md b/content/pytorch/concepts/tensor-operations/terms/frexp/frexp.md
new file mode 100644
index 00000000000..2481fa0cf48
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/frexp/frexp.md
@@ -0,0 +1,55 @@
+---
+Title: '.frexp()'
+Description: 'Decomposes input into mantissa and exponent tensors.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.frexp()`** function takes a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) as input and returns a tuple storing two tensors: mantissa and exponent. The range of mantissa is the open interval (-1, 1). The original input can be reconstructed as :
+
+$$\text{input} = \text{mantissa}\times 2^{\text{exponent}}$$
+
+## Syntax
+
+```pseudo
+torch.frexp(input, *, out=None) -> (Tensor mantissa, Tensor exponent)
+```
+
+**Parameters:**
+
+- `input`: The input tensor.
+- `out` (Optional): A tuple of two tensors `(mantissa, exponent)` that will store the result. If provided, the output is written in place.
+
+**Return value:**
+
+It returns a tuple containing two tensors - mantissa and exponent.
+
+## Example
+
+This example uses the `.frexp()` function on a tensor. The result contains two tensors mantissa and exponent (which can give numerical stability when floating point numbers are too small or too large):
+
+```py
+import torch
+
+x = torch.tensor([1. , 4. , 5. , 9. ])
+mantissa, exponent = torch.frexp(x)
+
+print(mantissa)
+print(exponent)
+```
+
+The output of this code is:
+
+```shell
+tensor([0.5000, 0.5000, 0.6250, 0.5625])
+tensor([1, 3, 3, 4], dtype=torch.int32)
+```

From d55e8f1fc09745ed4a71128b507d0cfc63bfcc08 Mon Sep 17 00:00:00 2001
From: Michael Liu <161697323+BV003@users.noreply.github.com>
Date: Fri, 29 Aug 2025 22:52:40 +0800
Subject: [PATCH 150/332] [Term Entry] PyTorch Tensor Operations: .fmod()

* Add PyTorch .fmod() term entry

* minor changes

* Minor changes

---------
---
 .../tensor-operations/terms/fmod/fmod.md      | 73 +++++++++++++++++++
 1 file changed, 73 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/fmod/fmod.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/fmod/fmod.md b/content/pytorch/concepts/tensor-operations/terms/fmod/fmod.md
new file mode 100644
index 00000000000..6e3bdbe6e22
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/fmod/fmod.md
@@ -0,0 +1,73 @@
+---
+Title: '.fmod()'
+Description: 'Returns the element-wise remainder of division, keeping the same sign as the dividend.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.fmod()`** method performs element-wise modulo operation on a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) and returns a new tensor containing the remainders. The sign of the result always matches the sign of the dividend (the input tensor elements).
+
+Mathematically, for each element in the input tensor, the operation follows:
+
+$$
+\text{result} = \text{input} - (\text{divisor} \times \text{trunc}(\text{input}/\text{divisor}))
+$$
+
+Here, `trunc` means truncation toward zero (i.e., rounding towards 0).
+
+## Syntax
+
+```pseudo
+torch.fmod(input, other, *, out=None) -> Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): Dividend tensor.
+- `other` (Tensor or Scalar): Divisor, can be a tensor (broadcastable with input) or a scalar.
+- `out` (Tensor, optional): Output tensor to store the result.
+
+**Return value:**
+
+- Returns a tensor containing the element-wise remainder of division, where the result has the same sign as `input`.
+
+## Example
+
+This example demonstrates the usage of the `.fmod()` function:
+
+```py
+import torch
+
+# Scalar divisor
+x = torch.tensor([5.0, -3.5, 2.1])
+result = x.fmod(2)  # or torch.fmod(x, 2)
+print(result)
+
+# Tensor divisor
+x = torch.tensor([5.0, -3.5, 2.1])
+y = torch.tensor([3.0, 2.0, 1.5])
+result = x.fmod(y)
+print(result)
+
+# In-place operation
+x = torch.tensor([5.0, -3.5, 2.1])
+x.fmod_(2)  # x is modified directly
+print(x)
+```
+
+The output of this code is:
+
+```shell
+tensor([ 1.0000, -1.5000,  0.1000])
+tensor([ 2.0000, -1.5000,  0.6000])
+tensor([ 1.0000, -1.5000,  0.1000])
+```

From d8cd5446329c1680dd1fd37aaf579681916feb11 Mon Sep 17 00:00:00 2001
From: Tukesh Kumar <115998898+Tukesh1@users.noreply.github.com>
Date: Sun, 31 Aug 2025 23:04:09 +0530
Subject: [PATCH 151/332] docs(sql): added syntax and example for RADIANS()
 function (#7547)

* docs(sql): added syntax and example for RADIANS() function

* Resolved markdownlint errors

* minor fixes

---------
---
 .../math-functions/terms/radians/radians.md   | 77 +++++++++++++++++++
 1 file changed, 77 insertions(+)
 create mode 100644 content/sql/concepts/math-functions/terms/radians/radians.md

diff --git a/content/sql/concepts/math-functions/terms/radians/radians.md b/content/sql/concepts/math-functions/terms/radians/radians.md
new file mode 100644
index 00000000000..c95ead24b45
--- /dev/null
+++ b/content/sql/concepts/math-functions/terms/radians/radians.md
@@ -0,0 +1,77 @@
+---
+Title: 'RADIANS()'
+Description: 'Converts a numeric value from degrees to radians in SQL.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'SQL'
+  - 'MySQL'
+  - 'PostgreSQL'
+  - 'SQLite'
+CatalogContent:
+  - 'learn-sql'
+  - 'paths/analyze-data-with-sql'
+---
+
+The SQL **`RADIANS()`** function converts an angle in degrees to its equivalent in radians.
+
+## Syntax
+
+```pseudo
+RADIANS(angle_in_degrees)
+```
+
+**Parameters:**
+
+- `angle_in_degrees`: A numeric expression representing the angle in degrees to be converted.
+
+**Return value:**
+
+- Returns a numeric value representing the corresponding angle in radians.
+
+## Example 1
+
+The following query converts 180 degrees to radians:
+
+```sql
+SELECT RADIANS(180) AS radians_value;
+```
+
+The output will be:
+
+| radians_value |
+| ------------- |
+| 3.141593      |
+
+It shows that 180 degrees is equal to 3.141593 radians.
+
+> **Note:** The exact output may vary slightly depending on the database system’s floating-point precision.
+
+## Example 2
+
+Convert a column of degree values to radians:
+
+Suppose there is a table named `angles` with the following data:
+
+| angle |
+| ----- |
+| 30    |
+| 45    |
+| 60    |
+
+The following query converts this data to radians:
+
+```sql
+SELECT angle, RADIANS(angle) AS radians_value
+FROM angles;
+```
+
+The output will be:
+
+| angle | radians_value |
+| ----- | ------------- |
+| 30    | 0.523599      |
+| 45    | 0.785398      |
+| 60    | 1.047198      |

From 140e8f01912521c4fa1d4b0c7e8506d5f6b00b0f Mon Sep 17 00:00:00 2001
From: backspacespacey <mickey_codes@outlook.com>
Date: Sun, 31 Aug 2025 13:10:39 -0500
Subject: [PATCH 152/332] Add URL() term entry documentation #7462 (#7545)

* Add URL term entry doc (#7462)

* style(css): enforce Prettier formatting (single quotes) and adjusted line wrapping in url() examples

* minor fixes

* Update content/css/concepts/filter-functions/terms/url/url.md

* Update content/css/concepts/filter-functions/terms/url/url.md

* Update content/css/concepts/filter-functions/terms/url/url.md

* Update content/css/concepts/filter-functions/terms/url/url.md

---------
---
 .../filter-functions/terms/url/url.md         | 74 +++++++++++++++++++
 1 file changed, 74 insertions(+)
 create mode 100644 content/css/concepts/filter-functions/terms/url/url.md

diff --git a/content/css/concepts/filter-functions/terms/url/url.md b/content/css/concepts/filter-functions/terms/url/url.md
new file mode 100644
index 00000000000..b90fdf2f8f1
--- /dev/null
+++ b/content/css/concepts/filter-functions/terms/url/url.md
@@ -0,0 +1,74 @@
+---
+Title: 'url()'
+Description: 'References an external resource such as an image, icon, or other asset provided by the file path or URL.'
+Subjects:
+  - 'Web Development'
+  - 'Web Design'
+Tags:
+  - 'CSS'
+  - 'Files'
+  - 'Images'
+  - 'Fonts'
+  - 'URL'
+CatalogContent:
+  - 'learn-css'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The CSS **`url()`** functional notation is used to reference an external resource (such as an image, font, or icon) from a file path or URL.
+
+## Syntax
+
+```pseudo
+/* Common form */
+property: url(<path-to-file>);
+
+/* With modifiers */
+property: url(<path-to-file> <url-modifier>*);
+```
+
+Here, the required `<path-to-file>` can be one of the following:
+
+- Relative path: `url("images/cat.png")`
+- Absolute path: `url("https://www.google.com/images/cat.png")`
+- Data URI: `url("data:image/png;base64,...")`
+- Blob URL: `url("blob:https://google.com/1234-5678")`
+
+> **Note:** When using resources hosted on another domain, browsers enforce Cross-Origin Resource Sharing (CORS) rules. Fonts in particular may require correct CORS headers to load successfully.
+
+## Example 1
+
+Set the background image of the `.banner-image` class to `cat.png`:
+
+```css
+.banner-image {
+  background-image: url('../images/cat.png');
+}
+```
+
+In `@font-face` rules, the `url()` function is often paired with the separate `format()` function to provide format hints that help browsers choose which font resource to download and optimize performance.
+
+Common font format hints include:
+
+- WOFF2 format: `url("fonts/MyFont.woff2") format("woff2")`
+- WOFF format: `url("fonts/MyFont.woff") format("woff")`
+- TrueType format: `url("fonts/MyFont.ttf") format("truetype")`
+- OpenType format: `url("fonts/MyFont.otf") format("opentype")`
+- Embedded OpenType (legacy IE): `url("fonts/MyFont.eot") format("embedded-opentype")`
+- SVG fonts (legacy): `url("fonts/MyFont.svg") format("svg")`
+
+## Example 2
+
+Load a custom font called `customFont` with multiple formats for compatibility:
+
+```css
+@font-face {
+  font-family: 'customFont';
+  src: url('fonts/customFont.woff2') format('woff2'), url('fonts/customFont.woff')
+      format('woff'), url('fonts/customFont.ttf') format('truetype');
+}
+
+h1 {
+  font-family: 'customFont', serif;
+}
+```

From c4f9cb78b0a1619594f397facbf2a76865d301c0 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 5 Sep 2025 15:43:10 +0530
Subject: [PATCH 153/332] [Edit] General: Kadane's Algorithm (#7562)

---
 .../kadanes-algorithm/kadanes-algorithm.md    | 102 +++++++-----------
 1 file changed, 40 insertions(+), 62 deletions(-)

diff --git a/content/general/concepts/algorithm/terms/kadanes-algorithm/kadanes-algorithm.md b/content/general/concepts/algorithm/terms/kadanes-algorithm/kadanes-algorithm.md
index 353b069c743..971a55e94f7 100644
--- a/content/general/concepts/algorithm/terms/kadanes-algorithm/kadanes-algorithm.md
+++ b/content/general/concepts/algorithm/terms/kadanes-algorithm/kadanes-algorithm.md
@@ -1,37 +1,47 @@
 ---
 Title: "Kadane's Algorithm"
-Description: 'Returns the maximum sum of a subarray within an array of numbers'
+Description: 'Returns the maximum sum of a subarray in a given array of numbers.'
 Subjects:
+  - 'Code Foundations'
   - 'Computer Science'
 Tags:
   - 'Algorithms'
   - 'Arithmetic'
   - 'Arrays'
+  - 'Values'
 CatalogContent:
   - 'learn-cpp'
   - 'paths/computer-science'
 ---
 
-**`Kadane's algorithm`** is a dynamic programming approach to efficiently finding the maximum sum of a subarray in a given array of numbers. The algorithm works as follows:
+**Kadane's Algorithm** is a dynamic programming approach for finding the maximum sum of a subarray in a given array of numbers. It works by iterating through the array and keeping track of:
+
+- The current maximum sum ending at that position
+- The global maximum sum found so far
+
+By updating these two values as it scans the array, Kadane’s Algorithm ensures that the final result is the maximum possible subarray sum.
+
+## How Kadane's Algorithm Works
 
 1. Initialize a current sum (variably called `maxEndingHere`) equal to the value of the element at the first position in the array (`arr[0]`).
-2. Iterate through the array. At every position, set `maxEndingHere` to the maximum of the following two values: `maxEndingHere + arr[i]` or `arr[i]`, where `i` is the current position in the array.
-3. Keep track of the greatest `maxEndingHere` encountered (ex: in a variable called `maxSoFar`).
+2. Iterate through the array. At every position, set `maxEndingHere` to the maximum of `maxEndingHere + arr[i]` or `arr[i]`, where `i` is the current position in the array.
+3. Keep track of the greatest `maxEndingHere` encountered in a variable (variably called `maxSoFar`).
 4. Return `maxSoFar`.
-   This algorithm guarantees a time complexity of `O(n)`, making it an optimal solution for this problem.
 
-## Example
+## Kadane's Algorithm Example
 
-**Here's how Kadane's algorithm can be applied to a problem:**
+- Consider the array `{-2, -1, -3, 4, -1, 2, 1, -5, 4}`.
+- Initialize two integer variables named `maxEndingHere` and `maxSoFar`. These variables serve to track the maximum subarray sum ending at the current position and the overall maximum subarray sum respectively.
+- The loop commences with the first element, which is `-2`. Therefore, both `maxEndingHere` and `maxSoFar` are initially `-2`.
+- Proceed to the next element, `-1`, and compare it to the sum of itself and the previous value of `maxEndingHere`.
+  - Since `-1` is greater than the sum of `-2` and `-1`, set `maxEndingHere` to `-1`.
+  - Also, compare `maxSoFar` with the updated value of `maxEndingHere`. Since `-2` is less than `-1`, set `maxSoFar` to `-1`.
+- This process continues as the array is iterated, modifying `maxEndingHere` and `maxSoFar` at each step.
+- After the loop, the variable `maxSoFar` contains the maximum subarray sum, which is returned as the result.
 
-- Consider the array {-2, -1, -3, 4, -1, 2, 1, -5, 4}. Initialize two integer variables: one named `maxEndingHere` and the other called `maxSoFar`. These variables serve to track the maximum subarray sum ending at the current position and the overall maximum subarray sum.
-- The loop commences with the first element, which is -2. Therefore, both `maxEndingHere` and `maxSoFar` are initially -2.
-- Proceed to the next element, -1, and compare it to the sum of itself and the previous value of `maxEndingHere`. Since -1 is greater than the sum of -2 and -1, set`maxEndingHere` to -1. Also, compare `maxSoFar` with the updated value of `maxEndingHere`. Since -2 is less than -1 set `maxSoFar` to -1.
-- This process continues as we advance through the array, modifying `maxEndingHere` and `maxSoFar` at each step.
-- After the loop, the variable `maxSoFar` contains the maximum subarray sum.
-- Return the value of `maxSoFar`, which represents the maximum subarray sum.
+## Kadane's Algorithm Implementation
 
-The following implementation of `Kadane's algorithm` is done in [c++](https://www.codecademy.com/resources/docs/cpp):
+Here is the implementation of Kadane's Algorithm in [C++](https://www.codecademy.com/resources/docs/cpp):
 
 ```cpp
 #include <iostream>
@@ -42,8 +52,8 @@ int maxSubarraySum(int arr[], int size) {
   int maxSoFar = arr[0];
 
   for (int i = 1; i < size; i++) {
-      maxEndingHere = max(arr[i], maxEndingHere + arr[i]);
-      maxSoFar = max(maxSoFar, maxEndingHere);
+    maxEndingHere = max(arr[i], maxEndingHere + arr[i]);
+    maxSoFar = max(maxSoFar, maxEndingHere);
   }
 
   return maxSoFar;
@@ -60,62 +70,30 @@ int main() {
 }
 ```
 
-The output for the above code is:
+Here is the output:
 
 ```shell
 Maximum subarray sum: 6
 ```
 
-## Codebyte Example
+## Kadane's Algorithm Complexity Analysis
 
-```codebyte/cpp
-#include <iostream>
-#include <vector>
-using namespace std;
+Kadane's Algorithm offers a time complexity of _O(n)_ as it traverses the array exactly once.
 
-int maxSubarraySum(vector<int>& arr) {
-  int maxEndingHere = arr[0];
-  int maxSoFar = arr[0];
-  int start = 0;
-  int end = 0;
-  int tempStart = 0;
-
-  for (int i = 1; i < arr.size(); i++) {
-    if (arr[i] > maxEndingHere + arr[i]) {
-        maxEndingHere = arr[i];
-        tempStart = i;
-    } else {
-        maxEndingHere = maxEndingHere + arr[i];
-    }
-
-    if (maxEndingHere > maxSoFar) {
-        maxSoFar = maxEndingHere;
-        start = tempStart;
-        end = i;
-    }
-  }
+On the other hand, it has a space complexity of _O(1)_ as it uses only a constant amount of extra variables (`current_sum` and `max_sum`).
 
-  cout << "Maximum subarray: [";
-  for (int i = start; i <= end; i++) {
-    cout << arr[i];
-    if (i != end) {
-        cout << ", ";
-    }
-  }
-  cout << "]" << endl;
+This efficiency makes Kadane’s Algorithm one of the most elegant and powerful techniques in algorithm design.
 
-  return maxSoFar;
-}
+## Frequently Asked Questions
 
-int main() {
-  vector<int> nums = {-2, -1, -3, 4, -1, 2, 1, -5, 4};
+### 1. Is Kadane's Algorithm greedy or DP?
 
-  int maxSum = maxSubarraySum(nums);
-  cout << "Maximum subarray sum: " << maxSum << endl;
+Kadane's Algorithm is often seen as a dynamic programming approach because it makes decisions based on previously computed results. However, it also has a greedy flavor since it chooses the locally optimal option (start new subarray vs. extend current subarray) at each step.
 
-  return 0;
-}
-"
+### 2. Why is Kadane's Algorithm efficient?
 
-Three additional variables: `start`, `end`, and `tempStart` are added in the above code. These variables keep track of the starting and ending indices, the temporary start of the current subarray. So, in the end, the subarray itself can be printed which has the max sum with the max sum.
-```
+Kadane's Algorithm is efficient because it solves the problem in linear time (_O(n)_) with constant space (_O(1)_), compared to naive approaches that require _O(n²)_ or _O(n³)_ time.
+
+### 3. Is sliding window and Kadane's Algorithm the same?
+
+No. The sliding window technique is typically used when the subarray size is fixed, while Kadane's Algorithm works for variable-length subarrays to maximize the sum. They are different strategies, although both deal with subarrays.

From 2dcec6eac1fee61ef02d15def22bafcf4ba4dcba Mon Sep 17 00:00:00 2001
From: morelesslike <cha_zz@mail.ru>
Date: Mon, 8 Sep 2025 12:10:28 +0300
Subject: [PATCH 154/332] Degrees entry is completed and revised (#7549)

* Degrees entry is written and revised

* minor tweaks - added headings like parameters and return value

* format fix

---------
---
 .../math-functions/terms/degrees/degrees.md   | 63 +++++++++++++++++++
 1 file changed, 63 insertions(+)
 create mode 100644 content/sql/concepts/math-functions/terms/degrees/degrees.md

diff --git a/content/sql/concepts/math-functions/terms/degrees/degrees.md b/content/sql/concepts/math-functions/terms/degrees/degrees.md
new file mode 100644
index 00000000000..b4aa235ea9b
--- /dev/null
+++ b/content/sql/concepts/math-functions/terms/degrees/degrees.md
@@ -0,0 +1,63 @@
+---
+Title: 'DEGREES()'
+Description: 'Converts an angle from radians to degrees.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Functions'
+  - 'MySQL'
+  - 'PostgreSQL'
+  - 'SQLite'
+  - 'SQL'
+CatalogContent:
+  - 'learn-sql'
+  - 'paths/analyze-data-with-sql'
+---
+
+The **`DEGREES()`** function in SQL is a mathematical function used to convert a value expressed in radians to its equivalent in degrees. This function is available in various SQL dialects, including SQL Server, MySQL, and Oracle.
+
+> **Note:** Functions `RADIANS()` and `PI()` are closely related to `DEGREES()`.
+
+## Syntax
+
+```pseudo
+ DEGREES(number)
+```
+
+**Parameters:**
+
+- `number`: A numeric expression in radians to be converted to degrees.
+
+**Return value:**
+
+Returns the angle in degrees as a numeric value.
+
+## Example 1
+
+This example converts a specific radian value to degrees:
+
+```sql
+Select DEGREES(1.0) as degrees_value;
+```
+
+The output:
+
+| <center>degrees_value</center>     |
+| ---------------------------------- |
+| <center>57.29577951308232</center> |
+
+## Example 2
+
+This query converts PI\*2 radians to degrees:
+
+```sql
+SELECT DEGREES(PI()*2) as degrees_off_of_pi;
+```
+
+The output:
+
+| <center>degrees_off_of_pi</center> |
+| ---------------------------------- |
+| <center>360</center>               |

From cab6c27618591d6efa7a2e56983687bb74e9eba2 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 12 Sep 2025 10:28:44 +0530
Subject: [PATCH 155/332] [Edit] Python: .sqrt() (#7556)

* [Edit] Python: .sqrt()

* minor faq change

---------
---
 .../math-module/terms/math-sqrt/math-sqrt.md  | 79 +++++++++++++------
 1 file changed, 55 insertions(+), 24 deletions(-)

diff --git a/content/python/concepts/math-module/terms/math-sqrt/math-sqrt.md b/content/python/concepts/math-module/terms/math-sqrt/math-sqrt.md
index 77c56b98724..5a27686c2c7 100644
--- a/content/python/concepts/math-module/terms/math-sqrt/math-sqrt.md
+++ b/content/python/concepts/math-module/terms/math-sqrt/math-sqrt.md
@@ -1,67 +1,98 @@
 ---
 Title: 'math.sqrt()'
-Description: 'Returns the square root of numeric input x.'
+Description: 'Calculates the square root of a given number.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
 Tags:
-  - 'Functions'
   - 'Arithmetic'
+  - 'Functions'
+  - 'Python'
+  - 'Values'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-Returns the square root of numeric input _x_.
+The Python **`.sqrt()`** [function](https://www.codecademy.com/resources/docs/python/functions) is used to calculate the square root of a given number and is a part of the `math` library. If the number is negative, the function raises a [`ValueError`](https://www.codecademy.com/resources/docs/python/errors).
 
-## Syntax
+## Python `.sqrt()` Syntax
 
-```py
-math.sqrt(x)
+```pseudo
+import math
+
+math.sqrt(num)
 ```
 
-If input `x` is a negative value, `.sqrt()` will return a `ValueError: math domain error`.
+**Parameters:**
+
+- `num`: The number whose square root is to be calculated.
 
-## Example
+**Return value:**
 
-Use `math.sqrt()` to return the square root of integer `5`:
+Returns a floating-point number representing the square root of `num`.
 
-```python
+## Example 1: Using Python `.sqrt()` with an Integer
+
+This example uses Python `.sqrt()` to calculate the square root of an integer:
+
+```py
 import math
 
-print(math.sqrt(5))
+print(math.sqrt(4))
 ```
 
-The above code gives the following output:
+Here is the output:
 
 ```shell
-2.23606797749979
+2.0
 ```
 
-Use `math.sqrt()` to return the square root of the float `5.5`:
+## Example 2: Using Python `.sqrt()` with a Float
 
-```python
+This example uses Python `.sqrt()` to calculate the square root of a float:
+
+```py
 import math
 
-print(math.sqrt(5.5))
+print(math.sqrt(6.25))
 ```
 
-The above code gives the following output:
+Here is the output:
 
 ```shell
-2.345207879911715
+2.5
 ```
 
-## Codebyte Example
+## Codebyte Example: Handling Multiple Values Using Python `.sqrt()`
 
-Run the following example that uses the `math.sqrt()` function to understand its working:
+This codebyte example uses Python `.sqrt()` to calculate the square roots of multiple values:
 
 ```codebyte/python
 import math
 
-square_root_int = math.sqrt(25)
-print(square_root_int)
+numbers = [4, 9, 16, 25]
+
+results = [math.sqrt(num) for num in numbers]
 
-square_root_float = math.sqrt(49.0)
-print(square_root_float)
+print(results)
+```
+
+## Frequently Asked Questions
+
+### 1. What type of value is returned by Python `.sqrt()`?
+
+The Python `.sqrt()` function always returns a float, even if the input is an integer.
+
+### 2. What does "sqrt" stand for?
+
+sqrt stands for square root. It calculates the value that, when multiplied by itself, equals the input number.
+
+### 3. Is `sqrt()` a function?
+
+Yes. `sqrt()` is a built-in function provided by Python’s math module. You need to import the module before using it:
+
+```py
+import math
+print(math.sqrt(16))  # Output: 4.0
 ```

From 494f9e1d723ae99230e524bc7fb9f1421d7a40d8 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 12 Sep 2025 10:32:12 +0530
Subject: [PATCH 156/332] [Edit] JavaScript: .all() (#7557)

* [Edit] JavaScript: .all()

* minor fixes

---------
---
 .../concepts/promise/terms/all/all.md         | 88 ++++++++++++++++---
 1 file changed, 78 insertions(+), 10 deletions(-)

diff --git a/content/javascript/concepts/promise/terms/all/all.md b/content/javascript/concepts/promise/terms/all/all.md
index d5678fe8d4d..7aa2a59857d 100644
--- a/content/javascript/concepts/promise/terms/all/all.md
+++ b/content/javascript/concepts/promise/terms/all/all.md
@@ -1,29 +1,38 @@
 ---
 Title: '.all()'
-Description: 'Returns a new promise that can be accessed as an array of resolved values of fulfilled promises.'
+Description: 'Returns a new Promise that resolves to an array of values once all input promises are fulfilled.'
 Subjects:
+  - 'Code Foundations'
   - 'Web Development'
 Tags:
+  - 'Arrays'
   - 'Methods'
   - 'Promise'
+  - 'Values'
 CatalogContent:
   - 'introduction-to-javascript'
   - 'paths/full-stack-engineer-career-path'
 ---
 
-The **`.all()`** method returns a new `Promise` object that can be accessed as an array of resolved values of fulfilled promises. It takes an iterable object, such as an `Array`, that contains one or more `Promise` objects. This is ideal when working with promises that depend on one another's completion.
+The JavaScript **`Promise.all()`** [method](https://www.codecademy.com/resources/docs/javascript/methods) returns a new `Promise` [object](https://www.codecademy.com/resources/docs/javascript/objects) that can be accessed as an [array](https://www.codecademy.com/resources/docs/javascript/arrays) of resolved values of fulfilled promises. It takes an [iterable](https://www.codecademy.com/resources/docs/javascript/iterators) object, such as an `Array`, that contains one or more `Promise` objects. This is ideal when working with promises that depend on one another's completion.
 
-## Syntax
+## JavaScript `Promise.all()` Syntax
 
 ```pseudo
 Promise.all(iterableObject);
 ```
 
-The `iterableObject` is usually an array of `Promise` objects. If the array is empty, a `Promise` object that resolves into an empty array will be returned.
+**Parameters:**
 
-## Example
+- `iterableObject`: An iterable (such as an array) of promises or values.
 
-Working with two promises, `promiseA` and `promiseB`:
+**Return value:**
+
+Returns a new `Promise` object that can be accessed as an array of resolved values of fulfilled promises.
+
+## Example 1: Working with Two Promises
+
+This example demonstrates how two promises resolve successfully and how JavaScript `Promise.all()` returns their values as an array:
 
 ```js
 const promiseA = new Promise((resolve, reject) => {
@@ -60,13 +69,51 @@ Results from Promise.all(): [23,144]
 Operations for Promise.all() have finished.
 ```
 
-## Codebyte Example
+## Example 2: Using `Promise.all()` with Asynchronous Tasks
+
+In this example, asynchronous API calls are simulated using `setTimeout()`. All promises resolve at different times, but JavaScript `Promise.all()` waits until all are resolved before returning results:
+
+```js
+function fakeApiCall(name, delay) {
+  return new Promise((resolve) => {
+    setTimeout(() => {
+      resolve(`${name} finished in ${delay}ms`);
+    }, delay);
+  });
+}
+
+const task1 = fakeApiCall('Task 1', 1000);
+const task2 = fakeApiCall('Task 2', 2000);
+const task3 = fakeApiCall('Task 3', 500);
+
+Promise.all([task1, task2, task3])
+  .then((results) => {
+    console.log('All tasks completed:');
+    console.log(results);
+  })
+  .catch((err) => {
+    console.log('At least one task failed:', err);
+  });
+```
+
+Here is the output:
+
+```shell
+All tasks completed:
+[
+  'Task 1 finished in 1000ms',
+  'Task 2 finished in 2000ms',
+  'Task 3 finished in 500ms'
+]
+```
 
-The following example demonstrates that the promise returned from `Promise.all` resolves only if all promises (passed as an array) resolve. The resolved value is an array containing the values of each resolved promise.
+## Codebyte Example: Mixing Resolved and Rejected Promises
 
-If at least one promise was rejected, `Promise.all` rejects with the value of the first rejected promise it encounters.
+This codebyte example demonstrates that the promise returned from JavaScript `Promise.all()` resolves only if all promises resolve. The resolved value is an array containing the values of each resolved promise.
 
-```codebyte/js
+If at least one promise was rejected, `Promise.all()` rejects with the value of the first rejected promise it encounters:
+
+```codebyte/javascript
 function getPromise(shouldResolve, value) {
   return new Promise((resolve, reject) => {
     if (shouldResolve) {
@@ -98,3 +145,24 @@ Promise.all([rejectedPromise1, resolvedPromise1, rejectedPromise2, resolvedPromi
   .then(onResolve)
   .catch(onReject);
 ```
+
+## Frequently Asked Questions
+
+### 1. What is the difference between JavaScript `Promise.all()` and `Promise.any()`?
+
+- JavaScript `Promise.all()` resolves only when all promises resolve. If one fails, it rejects immediately.
+- `Promise.any()` resolves as soon as one of the promises resolves. It rejects only if all promises fail.
+
+### 2. What is the purpose of JavaScript `Promise.all()`?
+
+The main purpose of JavaScript `Promise.all()` is to run multiple async operations in parallel and proceed only when all of them have completed successfully. This is useful for:
+
+- Fetching data from multiple APIs simultaneously
+- Running independent async tasks and waiting for all results before continuing
+
+### 3. Does JavaScript `Promise.all()` have a limit?
+
+JavaScript itself does not enforce a strict limit on the number of promises that can be passed to `Promise.all()`. However:
+
+- Extremely large arrays may cause performance or memory issues.
+- Practical limits depend on the runtime environment (browser, Node.js) and system resources.

From 148ab316277dbc391e418490bdf9e6bb321804c8 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 12 Sep 2025 10:34:21 +0530
Subject: [PATCH 157/332] [Edit] SQL: INSERT INTO (#7559)

* [Edit] SQL: INSERT INTO

* minor faq change

---------
---
 .../commands/terms/insert-into/insert-into.md | 117 +++++++++++++++---
 1 file changed, 102 insertions(+), 15 deletions(-)

diff --git a/content/sql/concepts/commands/terms/insert-into/insert-into.md b/content/sql/concepts/commands/terms/insert-into/insert-into.md
index 7cebfec66ab..9f734517186 100644
--- a/content/sql/concepts/commands/terms/insert-into/insert-into.md
+++ b/content/sql/concepts/commands/terms/insert-into/insert-into.md
@@ -1,31 +1,31 @@
 ---
 Title: 'INSERT INTO'
-Description: 'Creates and places new rows into a table.'
+Description: 'Adds new rows of data into a database table.'
 Subjects:
+  - 'Code Foundations'
   - 'Data Science'
 Tags:
   - 'Database'
-  - 'Queries'
-  - 'PostgreSQL'
   - 'MySQL'
-  - 'SQLite'
-  - 'Tables'
+  - 'PostgreSQL'
+  - 'Queries'
 CatalogContent:
   - 'learn-sql'
   - 'paths/analyze-data-with-sql'
-  - 'paths/design-databases-with-postgresql'
 ---
 
-The **`INSERT INTO`** command creates and places new rows into a table.
+The SQL **`INSERT INTO`** statement adds new rows of data into a database table. It is one of the most common operations when working with relational databases, allowing developers to populate tables with meaningful data.
+
+## SQL `INSERT INTO` Syntax
 
-## Syntax
+**General syntax:**
 
 ```pseudo
 INSERT INTO table_name
 VALUES (value1, value2, ...);
 ```
 
-Multiple rows can be inserted by adding additional sets to the `VALUES` clause:
+**Inserting multiple rows:**
 
 ```pseudo
 INSERT INTO table_name
@@ -34,25 +34,112 @@ VALUES
   (value1, value2, ...);
 ```
 
-To add values corresponding to only specific columns, thereby leaving the rest of the row as default values, specify them alongside the table name:
+**Inserting values into specific columns:**
 
 ```pseudo
 INSERT INTO table_name (column1, column2, ...)
 VALUES (value1, value2, ...);
 ```
 
-Default values can also be added using the `DEFAULT` keyword for the relevant column value:
+**Inserting default values using the `DEFAULT` keyword:**
 
 ```pseudo
 INSERT INTO table_name
 VALUES (value1, DEFAULT, value3, ...);
 ```
 
-## Example
+**Inserting from another table:**
+
+```pseudo
+INSERT INTO table_name (column1, column2)
+SELECT column1, column2
+FROM another_table
+WHERE condition;
+```
+
+## Example 1: Inserting into All Columns Using SQL `INSERT INTO`
+
+Suppose there is a table named `Employees`:
+
+| EmployeeID | FirstName | LastName | Department |
+| ---------- | --------- | -------- | ---------- |
+| 1          | John      | Doe      | HR         |
+| 2          | Jane      | Smith    | IT         |
+
+This query uses SQL `INSERT INTO` to insert data into all columns in the `Employees` table:
+
+```sql
+INSERT INTO Employees
+VALUES (3, 'Michael', 'Brown', 'Finance');
+```
+
+The output will be:
+
+| EmployeeID | FirstName | LastName | Department |
+| ---------- | --------- | -------- | ---------- |
+| 1          | John      | Doe      | HR         |
+| 2          | Jane      | Smith    | IT         |
+| 3          | Michael   | Brown    | Finance    |
+
+## Example 2: Inserting into Specific Columns Using SQL `INSERT INTO`
 
-The given query adds a new student to a `students` table, providing values for `first_name`, `last_name`, and `enrollment_date`, thereby inserting default values for all other columns:
+This query uses SQL `INSERT INTO` to insert data into specific columns in the `Employees` table:
 
 ```sql
-INSERT INTO students (first_name, last_name, enrollment_date)
-VALUES ('Jeremy', 'Barbosa', '2016-09-01');
+INSERT INTO Employees (FirstName, LastName)
+VALUES ('Emily', 'Clark');
 ```
+
+The output will be:
+
+| EmployeeID | FirstName | LastName | Department |
+| ---------- | --------- | -------- | ---------- |
+| 1          | John      | Doe      | HR         |
+| 2          | Jane      | Smith    | IT         |
+| 3          | Michael   | Brown    | Finance    |
+| 4          | Emily     | Clark    | NULL       |
+
+> **Note:** The `Department` column is `NULL` because no value was provided.
+
+## Example 3: Inserting Multiple Rows Using SQL `INSERT INTO`
+
+This query uses SQL `INSERT INTO` to insert multiple rows of data in the `Employees` table:
+
+```sql
+INSERT INTO Employees (FirstName, LastName, Department)
+VALUES
+  ('Chris', 'Evans', 'Marketing'),
+  ('Anna', 'Taylor', 'HR'),
+  ('David', 'Wilson', 'IT');
+```
+
+The output will be:
+
+| EmployeeID | FirstName | LastName | Department |
+| ---------- | --------- | -------- | ---------- |
+| 1          | John      | Doe      | HR         |
+| 2          | Jane      | Smith    | IT         |
+| 3          | Michael   | Brown    | Finance    |
+| 4          | Emily     | Clark    | NULL       |
+| 5          | Chris     | Evans    | Marketing  |
+| 6          | Anna      | Taylor   | HR         |
+| 7          | David     | Wilson   | IT         |
+
+## Frequently Asked Questions
+
+### 1. How to use SQL `INSERT INTO` in SQL?
+
+SQL `INSERT INTO` can be used to add new rows into a table by specifying values for all or selected columns. For example:
+
+```sql
+INSERT INTO Employees (FirstName, LastName, Department)
+VALUES ('Alice', 'Johnson', 'Sales');
+```
+
+### 2. What is the purpose of SQL `INSERT INTO`?
+
+The purpose of SQL `INSERT INTO` is to populate a database table with new records. It allows data entry during the initial creation of a database and also for ongoing updates when new information needs to be stored.
+
+### 3. What is the difference between `INSERT` and `INSERT INTO` in SQL?
+
+There is no functional difference between INSERT and INSERT INTO — both are valid SQL syntax for adding new rows to a table. `INSERT INTO` is the more explicit and commonly used form, supported by all major SQL databases. Some SQL dialects allow the shorter `INSERT` form, but it is less common.

From dadcd790a0754c854a7610ff0e6068361523c3d2 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 12 Sep 2025 10:38:42 +0530
Subject: [PATCH 158/332] [Edit] C++: .front() (#7563)

* [Edit] C++: .front()

* minor rewording in the return value

---------
---
 .../cpp/concepts/queues/terms/front/front.md  | 114 ++++++++++++++++--
 1 file changed, 103 insertions(+), 11 deletions(-)

diff --git a/content/cpp/concepts/queues/terms/front/front.md b/content/cpp/concepts/queues/terms/front/front.md
index 174ac5b9d13..11b4cf0c55b 100644
--- a/content/cpp/concepts/queues/terms/front/front.md
+++ b/content/cpp/concepts/queues/terms/front/front.md
@@ -1,33 +1,40 @@
 ---
 Title: '.front()'
-Description: 'Returns the next element within the queue.'
+Description: 'Returns a reference to the element at the front of the queue.'
 Subjects:
   - 'Computer Science'
   - 'Game Development'
 Tags:
+  - 'Classes'
+  - 'Methods'
   - 'Objects'
   - 'OOP'
-  - 'Classes'
 CatalogContent:
   - 'learn-c-plus-plus'
   - 'paths/computer-science'
 ---
 
-The **`.front()`** method returns the next element within the queue. This will be the oldest element of the queue or the element which was added the earliest.
+The C++ **`.front()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) is used to access the element at the front of the queue. Unlike `.back()`, which gives the last element, `.front()` allows programmers to directly work with the element at the beginning without removing it.
 
-## Syntax
-
-The `.front()` method can be called on a queue using the following syntax:
+## C++ `.front()` Syntax
 
 ```pseudo
 queueName.front();
 ```
 
-## Codebyte Example
+**Parameters:**
 
-The following codebyte example calls the `.front()` method on the `colors` queue:
+The C++ `.front()` method takes no parameters.
 
-```codebyte/cpp
+**Return value:**
+
+Returns a reference to the element at the front of the queue.
+
+## Example 1: Basic Usage of C++ `.front()`
+
+This example uses C++ `.front()` to access the first element of the queue:
+
+```cpp
 #include <iostream>
 #include <queue>
 
@@ -35,13 +42,98 @@ int main() {
   // Declaring a queue
   std::queue<std::string> colors;
 
-  // Inserting elements
+  // Inserting elements into the queue
   colors.push("Red");
   colors.push("Blue");
   colors.push("Green");
   colors.push("Yellow");
 
-  // Print out next element
+  // Print the first element of the queue
   std::cout << colors.front();
 }
 ```
+
+Here is the output:
+
+```shell
+Red
+```
+
+## Example 2: Using C++ `.front()` with `.pop()`
+
+Until the queue is empty, this example uses C++ `.front()` to return the first element of the queue before it is removed using [`.pop()`](https://www.codecademy.com/resources/docs/cpp/queues/pop):
+
+```cpp
+#include <iostream>
+#include <queue>
+using namespace std;
+
+int main() {
+  queue<string> q;
+
+  q.push("Alice");
+  q.push("Bob");
+  q.push("Charlie");
+
+  while (!q.empty()) {
+    cout << q.front() << endl;
+
+    // Remove the first element of the queue
+    q.pop();
+  }
+
+  return 0;
+}
+```
+
+Here is the output:
+
+```shell
+Alice
+Bob
+Charlie
+```
+
+## Codebyte Example: Modifying the First Element Using C++ `.front()`
+
+This codebyte example uses C++ `.front()` to modify the first element of the queue:
+
+```codebyte/cpp
+#include <iostream>
+#include <queue>
+using namespace std;
+
+int main() {
+  queue<int> q;
+
+  q.push(5);
+  q.push(15);
+
+  cout << q.front() << endl;
+
+  // Modify the first element of the queue
+  q.front() = 100;
+
+  cout << q.front() << endl;
+
+  return 0;
+}
+```
+
+## Frequently Asked Questions
+
+### 1. What is the `.front()` function of queue in C++?
+
+The `.front()` function of queue in C++ returns the element at the beginning of the queue without removing it.
+
+### 2. How do you get the front of the queue in C++?
+
+To get the front of the queue in C++, the `.front()` method can be used:
+
+```cpp
+q.front();
+```
+
+### 3. What does C++ `.front()` return?
+
+The C++ `.front()` method returns the first element of the queue, which can then be used and modified.

From c2b09f168604c0a9e296090a89201996ec94ae40 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 12 Sep 2025 10:43:08 +0530
Subject: [PATCH 159/332] [Edit] C++: Pointers (#7560)

* [Edit] C++: Pointers

* Update pointers.md

---------
---
 content/cpp/concepts/pointers/pointers.md | 165 +++++++++++++++++-----
 1 file changed, 130 insertions(+), 35 deletions(-)

diff --git a/content/cpp/concepts/pointers/pointers.md b/content/cpp/concepts/pointers/pointers.md
index 39d092d8ca1..7df24759fc2 100644
--- a/content/cpp/concepts/pointers/pointers.md
+++ b/content/cpp/concepts/pointers/pointers.md
@@ -1,87 +1,182 @@
 ---
 Title: 'Pointers'
-Description: 'A pointer in C++ is a variable that stores the memory address of another variable. Declared with `*`, it must point to a compatible data type.'
+Description: 'A special type of variable that stores the memory address of another variable.'
 Subjects:
   - 'Computer Science'
   - 'Game Development'
 Tags:
+  - 'Data'
   - 'Pointers'
+  - 'Values'
+  - 'Variables'
 CatalogContent:
   - 'learn-c-plus-plus'
   - 'paths/computer-science'
 ---
 
-A **pointer** is a special type of variable that stores the memory address of another variable.
+C++ **pointers** are a special type of [variable](https://www.codecademy.com/resources/docs/cpp/variables) that holds or stores the memory address of another variable. Instead of holding a direct value, pointers allow programmers to access and manipulate data indirectly, making them powerful tools for memory management, dynamic allocation, and efficient data handling.
 
-## Creating Pointers
+## Creating C++ Pointers
 
-A pointer variable is declared using the indirection operator (`*`). This is a special unary operator that signals the program to store the memory address of another variable.
+C++ pointers are declared using the indirection [operator](https://www.codecademy.com/resources/docs/cpp/operators) (`*`). This is a special unary operator that signals the program to store the memory address of another variable.
 
-To get the memory address of a variable to store in the pointer variable, the address operator (`&`) is used. This signals the program to return the memory address of a variable. Memory addresses are usually prefixed with `0x`; this indicates that the following digits are in hexadecimal notation.
+To get the memory address of a variable, the address operator (`&`) is used. This signals the program to return the memory address of a variable. Memory addresses are usually prefixed with `0x`; indicating that the digits are in hexadecimal notation:
 
 ```cpp
-std::string game = "Cricket";
+#include <iostream>
+#include <string>
+
+int main() {
+  std::string game = "Cricket";
+  std::cout << &game << "\n";
+  std::string* ptr = &game;
+  std::cout << ptr << "\n";
+  return 0;
+}
+```
 
-std::cout << game << "\n";   // Output: Cricket
-std::cout << &game << "\n";  // Output of game memory address: 0x6dfed4
+Here is the output:
 
-// A pointer with the name ptr, that stores the address of game
-std::string* ptr = &game;
-std::cout << ptr << "\n";    // Output of pointer to game: 0x6dfed4
+```shell
+0x7ffebd7d89d0
+0x7ffebd7d89d0
 ```
 
-## Pointer Dereferencing
+## Dereferencing C++ Pointers
 
-Dereferencing a pointer means getting the value that a pointer variable is pointing at.
+Dereferencing C++ pointers means getting the value that a pointer variable is pointing at.
 
 Only a limited number of tasks can be accomplished solely using the memory address stored in pointers. To perform various operations, it's essential to access the actual value stored at the memory address, allowing for direct manipulation.
 
 This can be done by dereferencing a pointer. The indirection operator (`*`) used for declaring a pointer can be used to dereference a pointer as well.
 
-When a pointer is dereferenced, it tells the program to return the value contained in the specified memory address and then operations can be performed on it.
+When a pointer is dereferenced, it tells the program to return the value contained in the specified memory address, on which operations can then be performed:
 
 ```cpp
-std::string game = "Cricket";  // Variable declaration
-std::string* ptr = &game;    // Pointer declaration
+#include <iostream>
+#include <string>
+
+int main() {
+  std::string game = "Cricket";
+  std::string* ptr = &game;
+  std::cout << *ptr << "\n";
+  *ptr = "Baseball";
+  std::cout << *ptr << "\n";
+  return 0;
+}
+```
 
-std::cout << *ptr << "\n"; // Output of value dereferenced from ptr: Cricket
+Here is the output:
 
-*ptr = "Baseball";
-std::cout << *ptr << "\n"; // Output of value dereferenced from ptr: Baseball
+```shell
+Cricket
+Baseball
 ```
 
 ## Null Pointers
 
-Similar to other data types, pointers can be declared without being assigned a value.
+Similar to other data types, C++ pointers can be declared without being assigned a value:
 
 ```cpp
- int *ptr;
+int *ptr;
 ```
 
-This however is a cause of concern because if the program tries to dereference and manipulate a pointer that holds no memory address, it could lead to some unexpected behavior. To prevent this, `nullptr` is used. It is a special kind of value that prevents pointers from behaving unexpectedly when they hold no memory address.
+This however is a cause of concern because if the program tries to dereference and manipulate a pointer that holds no memory address, it could lead to some unexpected behavior. To prevent this, `nullptr` is used. It is a special kind of value that prevents pointers from behaving unexpectedly when they hold no memory address:
 
 ```cpp
-int *ptr = nullptr; // Assigns the pointer to a null pointer value
-
-std::cout << *ptr << "\n"; // 0
+#include <iostream>
+#include <string>
+
+int main() {
+  std::string game = "Cricket";
+  std::string* ptr = &game;
+  std::cout << ptr << "\n";
+  std::cout << *ptr << "\n";
+  return 0;
+}
+```
 
-std::string game = "Cricket";
-*ptr = &game;
+Here is the output:
 
-std::cout << *ptr << "\n"; // Cricket
+```shell
+0x7fffb7c77a90
+Cricket
 ```
 
-## Pointers As Function Parameters
+## C++ Pointers as Function Parameters
 
-Pointers can also be passed into functions as arguments. This helps to manipulate values from within a function even though the value lives outside that function.
+C++ pointers can also be passed into [functions](https://www.codecademy.com/resources/docs/cpp/functions) as arguments. This helps in manipulating values from within a function even though the value lives outside that function:
 
 ```cpp
-void changeGame(std::string *game, std::string new_game) { // defining a pointer as a function parameter
-  *game = new_game; // Dereference the pointer and change the game
+#include <iostream>
+#include <string>
+
+void changeGame(std::string* game, const std::string& new_game) {
+  *game = new_game;
 }
 
-std::string game = "Cricket";
-changeGame(&game, "Baseball"); // Passing a pointer as a function argument
+int main() {
+  std::string game = "Cricket";
+  changeGame(&game, "Baseball");
+  std::cout << game << "\n";
+  return 0;
+}
+```
 
-std::cout << game << "\n" // Baseball
+Here is the output:
+
+```shell
+Baseball
 ```
+
+## Codebyte Example: Basic Usage of C++ Pointers
+
+This codebyte example demonstrates the basic usage of C++ pointers:
+
+```codebyte/cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int num = 42;
+
+  int *ptr = &num;
+
+  cout << "Value of num: " << num << endl;
+  cout << "Address of num: " << &num << endl;
+  cout << "Pointer holds: " << ptr << endl;
+  cout << "Value at pointer: " << *ptr << endl;
+
+  return 0;
+}
+```
+
+## Frequently Asked Questions
+
+### 1. How many types of pointers are in C++?
+
+C++ supports several types of pointers, including:
+
+- **Null pointer**: Points to nothing.
+- **Void pointer**: A generic pointer that can point to any data type.
+- **Wild pointer**: An uninitialized pointer with unpredictable behavior.
+- **Dangling pointer**: Refers or points to a memory location that has been freed.
+- **Constant pointer**: Cannot change the address it points to.
+- **Pointer to a constant**: Cannot change the value being pointed to.
+- **Function pointer**: A type of pointer that stores the address of a function.
+- **Smart pointer**: Manages dynamic memory automatically (e.g., `unique_ptr`, `shared_ptr`).
+
+### 2. Are C and C++ pointers the same?
+
+Yes, the basic concept of pointers in C and C++ is the same. Both use pointers for memory manipulation, arrays, and function calls. However, C++ extends their utility by integrating pointers with object-oriented features like classes, inheritance, and polymorphism, and also provides smart pointers for safer memory management.
+
+### 3. Why are pointers used in C++?
+
+Pointers in C++ are used for several reasons:
+
+- Dynamic memory allocation using `new` and `delete`.
+- Efficient array and string handling.
+- Passing large objects to functions without copying them.
+- Implementing data structures (linked lists, trees, graphs).
+- Function pointers for callbacks and event-driven programming.
+- Object-oriented programming features like polymorphism (via virtual function tables).

From 24f260693f7db177f100068daf9b88349ec007c5 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Fri, 12 Sep 2025 10:45:23 +0530
Subject: [PATCH 160/332] [Edit] SQL: Window Functions (#7572)

* [Edit] SQL: Window Functions

* updated FAQs

---------
---
 .../window-functions/window-functions.md      | 146 +++++++++++++++---
 1 file changed, 123 insertions(+), 23 deletions(-)

diff --git a/content/sql/concepts/window-functions/window-functions.md b/content/sql/concepts/window-functions/window-functions.md
index e6a2e738298..640e1d4a784 100644
--- a/content/sql/concepts/window-functions/window-functions.md
+++ b/content/sql/concepts/window-functions/window-functions.md
@@ -1,42 +1,104 @@
 ---
 Title: 'Window Functions'
-Description: 'A window function performs a calculation over the inputted column and then returns the calculated value for each row. Window functions can be identified by their use of the OVER clause. In the simplest syntactic example, a function can be preformed over a given column as shown below: sql SELECT functionname(column1name) OVER() FROM tablename;  An ORDER BY clause can be used to determine in which direction the function should be calculated.'
+Description: 'Perform calculations across a set of table rows related to the current row, without collapsing the result into a single output row.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Data Science'
 Tags:
   - 'Functions'
-  - 'SQLite'
   - 'MySQL'
   - 'PostgreSQL'
+  - 'SQLite'
 CatalogContent:
   - 'learn-sql'
   - 'paths/analyze-data-with-sql'
 ---
 
-A window function performs a calculation over the inputted column and then returns the calculated value for each row. Window functions can be identified by their use of the `OVER` clause.
+**Window functions** in SQL allow users to perform calculations across a set of table rows that are related to the current row. Unlike traditional [aggregate functions](https://www.codecademy.com/resources/docs/sql/aggregate-functions) (like [`SUM()`](https://www.codecademy.com/resources/docs/sql/aggregate-functions/sum), [`AVG()`](https://www.codecademy.com/resources/docs/sql/aggregate-functions/avg), [`COUNT()`](https://www.codecademy.com/resources/docs/sql/aggregate-functions/count)), which return only a single value for a group of rows, window functions return a value for each row, based on a defined window of rows.
+
+## SQL Window Functions Syntax
+
+The general syntax for window functions in SQL is:
+
+```pseudo
+function_name(expression) OVER (
+  [PARTITION BY column]
+  [ORDER BY column]
+  [ROWS/RANGE frame_specification]
+)
+```
+
+In the syntax:
+
+- `function_name(expression)`: The function to be applied, like `SUM()` or `ROW_NUMBER()`.
+- `OVER()`: Defines the window of rows over which the function operates.
+- `PARTITION BY`: Divides rows into groups (like `GROUP BY`).
+- `ORDER BY`: Orders rows within each partition.
+- `ROWS/RANGE`: Defines a frame (a subset of the partition).
+
+## Types of SQL Window Functions
 
-In the simplest syntactic example, a function can be preformed over a given column as shown below:
+There are different types of window functions in SQL:
+
+- Ranking window functions
+- Aggregate window functions
+- Value window functions
+
+### Ranking Window Functions
+
+- `ROW_NUMBER()`: Assigns a unique sequential number.
+- `RANK()`: Assigns rank with gaps if there are ties.
+- `DENSE_RANK()`: Similar to `RANK()`, but without gaps.
+- `NTILE(n)`: Divides rows into `n` buckets.
+
+Here is an example that ranks sales employees by revenue within each region:
 
 ```sql
-SELECT function_name(column_1_name) OVER()
-FROM table_name;
+SELECT
+  employee,
+  region,
+  revenue,
+  RANK() OVER (PARTITION BY region ORDER BY revenue DESC) AS region_rank
+FROM sales;
 ```
 
-An `ORDER BY` clause can be used to determine in which direction the function should be calculated.
+### Aggregate Window Functions
+
+- `SUM()`: Calculates the total over the defined window.
+- `AVG()`: Returns the average value within the window.
+- `COUNT()`: Counts rows in the window frame.
+- `MIN()`: Finds the smallest value in the window.
+- `MAX()`: Finds the largest value in the window.
+
+Here is an example that calculates the running total of sales by date:
 
 ```sql
-SELECT function_name(column_1_name) OVER(
-    ORDER BY column_2_name
-  )
-FROM table_name;
+SELECT
+  order_date,
+  SUM(amount) OVER (ORDER BY order_date) AS running_total
+FROM orders;
 ```
 
-## Example
+### Value Window Functions
+
+- `LAG()`: Looks at the previous row.
+- `LEAD()`: Looks at the next row.
+- `FIRST_VALUE()` / `LAST_VALUE()`: Finds the first/last value in a frame.
+
+Here is an example that compares each month’s sales to the previous month:
+
+```sql
+SELECT
+  month,
+  sales,
+  LAG(sales) OVER (ORDER BY month) AS prev_month_sales,
+  sales - LAG(sales) OVER (ORDER BY month) AS growth
+FROM monthly_sales;
+```
 
-A common use case for window functions is to create a running total.
+## Example 1: Calculating Running Total Using SQL Window Functions
 
-For example, suppose there's a `monthly_sales` table with the following values:
+Suppose there's a table named `monthly_sales`:
 
 | quarter | month | sales |
 | ------- | ----- | ----- |
@@ -53,19 +115,19 @@ For example, suppose there's a `monthly_sales` table with the following values:
 | 4       | 11    | 1000  |
 | 4       | 12    | 1250  |
 
-To find the cumulative sales up to each month, the given query can be used:
+Here is a query that calculates the running total of sales by each month:
 
 ```sql
 SELECT quarter,
   month,
   sales,
-  SUM(sales) OVER(
+  SUM(sales) OVER (
     ORDER BY month
   ) AS 'running_total'
 FROM monthly_sales;
 ```
 
-This will give the following output:
+The output will be:
 
 | quarter | month | sales | running_total |
 | ------- | ----- | ----- | ------------- |
@@ -82,23 +144,23 @@ This will give the following output:
 | 4       | 11    | 1000  | 7250          |
 | 4       | 12    | 1250  | 8500          |
 
-## Partitions
+## Example 2: Partitioning SQL Window Functions
 
-Window functions can be partitioned to create bunches of rows that apply the function to each bunch. This is done using the `PARTITION BY` keyword within the `OVER` clause.
+Window functions in SQL can be partitioned to create bunches of rows that apply the function to each bunch. This is done using the `PARTITION BY` keyword within the `OVER` clause.
 
-To find the average sales per quarter of the previous example, the given query can be used:
+To find the average sales per quarter for the `monthly_sales` table, this query can be used:
 
 ```sql
 SELECT quarter,
   month,
   sales,
-  AVG(sales) OVER(
+  AVG(sales) OVER (
     PARTITION BY quarter
   ) AS 'quarterly_average'
 FROM monthly_sales;
 ```
 
-This will give the following output:
+Here is the output:
 
 | quarter | month | sales | quarterly_average |
 | ------- | ----- | ----- | ----------------- |
@@ -114,3 +176,41 @@ This will give the following output:
 | 4       | 10    | 800   | 1016.66           |
 | 4       | 11    | 1000  | 1016.66           |
 | 4       | 12    | 1250  | 1016.66           |
+
+## Frequently Asked Questions
+
+### 1. What is a window function in SQL?
+
+Window functions in SQL include ranking functions (`ROW_NUMBER()`, `RANK()`, `DENSE_RANK()`, `NTILE()`), aggregate functions (`SUM()`, `AVG()`, `COUNT()`, `MIN()`, `MAX()`), and value functions (`LAG()`, `LEAD()`, `FIRST_VALUE()`, `LAST_VALUE()`).
+
+### 2. What is the difference between aggregate functions and window functions in SQL?
+
+- Aggregate functions: They collapse multiple rows into a single result per group. For example:
+
+```sql
+SELECT department, AVG(salary) AS avg_salary
+FROM employees
+GROUP BY department;
+```
+
+Each department returns one row with its average salary.
+
+- Window functions: They compute values across related rows but keep every row in the output. For example:
+
+```sql
+SELECT employee, department,
+  AVG(salary) OVER (PARTITION BY department) AS avg_salary
+FROM employees;
+```
+
+Each employee’s row is preserved, along with the department’s average.
+
+### 3. Is `ROW_NUMBER` a window function in SQL?
+
+Yes. `ROW_NUMBER()` is a window function that assigns a unique sequential integer to rows within a result set. It requires an `OVER()` clause with an `ORDER BY` to define how the numbering is assigned. For example:
+
+```sql
+SELECT employee, department,
+  ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS rank_in_dept
+FROM employees;
+```

From 78cec3e666d7197792e8cd470dce0b2a4494084c Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 15 Sep 2025 11:23:09 +0530
Subject: [PATCH 161/332] [Edit] PyTorch: .randn() (#7611)

* [Edit] PyTorch: .randn()

* minor faq question and intro fix

* added backlinks

---------
---
 .../concepts/tensors/terms/randn/randn.md     | 101 +++++++++++++++---
 1 file changed, 85 insertions(+), 16 deletions(-)

diff --git a/content/pytorch/concepts/tensors/terms/randn/randn.md b/content/pytorch/concepts/tensors/terms/randn/randn.md
index 1d9f1c43e85..144c0cb8919 100644
--- a/content/pytorch/concepts/tensors/terms/randn/randn.md
+++ b/content/pytorch/concepts/tensors/terms/randn/randn.md
@@ -5,45 +5,114 @@ Subjects:
   - 'Data Science'
   - 'Machine Learning'
 Tags:
+  - 'Python'
   - 'PyTorch'
   - 'Tensors'
+  - 'Values'
 CatalogContent:
   - 'intro-to-py-torch-and-neural-networks'
   - 'py-torch-for-classification'
 ---
 
-The **`.randn()`** function in PyTorch generates a tensor with random numbers drawn from a normal distribution with a mean of _0_ and a standard deviation of _1_. This function is particularly useful for initializing weights in neural networks and for other purposes requiring randomized data, especially in machine learning applications.
+The **`torch.randn()`** function in PyTorch generates a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) with random numbers drawn from a standard normal distribution (mean = 0, variance = 1). This function is particularly useful for initializing weights in [neural networks](https://www.codecademy.com/resources/docs/ai/neural-networks) and for other purposes requiring randomized data, especially in machine learning applications.
 
-## Syntax
+## `torch.randn()` Syntax
 
 ```pseudo
-torch.randn(*size, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False)
+torch.randn(*size, *, generator=None, out=None, dtype=None, layout=torch.strided, device=None, requires_grad=False, pin_memory=False)
 ```
 
+**Parameters:**
+
 - `*size`: Specifies the shape of the output tensor. This can be one or more integers, defining the dimensions of the tensor.
-- `out` (optional): A tensor where the result will be stored. If specified, the output is stored in this tensor; otherwise, a new tensor is created.
-- `dtype` (optional): The desired data type of the returned tensor.
-- `layout` (optional): The desired layout of the returned tensor. The default is `torch.strided`.
-- `device` (optional): The device on which the tensor is allocated.
-- `requires_grad` (optional): If set to `True`, PyTorch will track operations on the tensor for automatic differentiation. Defaults to `False`.
+- `generator` (Optional): A pseudorandom number generator for sampling.
+- `out` (Optional): A tensor where the result will be stored. If specified, the output is stored in this tensor; otherwise, a new tensor is created.
+- `dtype` (Optional): The desired data type of the returned tensor.
+- `layout` (Optional): The desired layout of the returned tensor. The default is `torch.strided`.
+- `device` (Optional): The device on which the tensor is allocated.
+- `requires_grad` (Optional): If set to `True`, PyTorch will track operations on the tensor for automatic differentiation. Defaults to `False`.
+- `pin_memory` (Optional): If set to `True`, the tensor will be allocated in page-locked memory, which can speed up data transfer to CUDA devices.
+
+**Return value:**
+
+Returns a tensor of the specified shape, containing random numbers drawn from a normal distribution.
 
-## Example
+## Example 1: Basic Usage of `torch.randn()`
 
-The following example uses `.randn()` to create a 4x4 tensor with random values from a normal distribution:
+This example uses `torch.randn()` to create a 4x4 tensor with random values from a normal distribution:
 
 ```py
 import torch
+
 tensor = torch.randn(4, 4)
+
+print(tensor)
+```
+
+Here is the output:
+
+```shell
+tensor([[ 1.6012,  0.1432,  2.1874,  1.1822],
+        [-1.4331, -1.4752,  1.5541,  1.1185],
+        [ 0.2751, -0.7885, -1.0202, -0.7851],
+        [ 0.8050, -0.6548,  1.7703, -1.3595]])
+```
+
+> **Note:** This code may generate a random output each time it is run, as `torch.randn()` produces random values from a normal distribution.
+
+## Example 2: Specifying Device and Data Type in `torch.randn()`
+
+This example uses `torch.randn()` to create a 4×4 tensor on the CPU with double precision:
+
+```py
+import torch
+
+tensor = torch.randn(4, 4, device='cpu', dtype=torch.float64)
+
 print(tensor)
 ```
 
-This produces the following output:
+Here is the output:
 
 ```shell
-tensor([[-0.7484,  1.2086,  0.3430,  0.6699],
-        [ 0.7022,  0.0815,  0.4855,  0.1603],
-        [-0.1214,  0.2484,  1.5672, -0.7005],
-        [ 1.3106, -0.6518,  0.7351, -0.1027]])
+tensor([[-0.8092, -0.6702, -0.6960,  0.2639],
+        [ 0.6808,  0.5304, -0.8820, -0.7556],
+        [ 0.1226, -1.0764,  0.9428,  1.4216],
+        [-0.5007,  1.3984,  0.0343, -1.1393]], dtype=torch.float64)
 ```
 
-**Note:** This code will generate a different random output each time it is run, as `.randn()` produces random values from a normal distribution.
+## Example 3: Using `requires_grad` in `torch.randn()`
+
+This example uses `torch.randn()` with `requires_grad` set to `True` to create a 4×4 tensor with gradient tracking:
+
+```py
+import torch
+
+tensor = torch.randn(4, 4, requires_grad=True)
+
+print(tensor)
+```
+
+Here is the output:
+
+```shell
+tensor([[ 0.8901,  0.6525, -0.7170, -1.2236],
+        [-1.7839,  0.0180, -0.8420,  0.6561],
+        [ 0.1359,  0.8233, -0.4252,  0.7597],
+        [-1.1085,  0.9300,  0.1958, -0.9679]], requires_grad=True)
+```
+
+## Frequently Asked Questions
+
+### 1. What does randn do in PyTorch?
+
+`torch.randn()` creates a tensor containing random numbers drawn from a normal distribution.
+
+### 2. What is the difference between `torch.rand()` and `torch.randn()`?
+
+- `torch.rand()` generates numbers evenly spread between `0` and `1`.
+- `torch.randn()` generates numbers based on the bell curve, centered at `0` with most values falling between `-3` and `3`.
+
+### 3. What is the range of `torch.randn()`?
+
+Theoretically, values for `torch.randn()` range from negative infinity to positive infinity because of the normal distribution. However, in practice, most values are between `-3` and `3`.

From b48a6ef9489ba5ee7bb808599fcb4ae31cf36b66 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 15 Sep 2025 16:53:49 +0530
Subject: [PATCH 162/332] [Edit] JavaScript: .sort() (#7610)

* [Edit] JavaScript: .sort()

* updated faqs 2 and 3

* fixed format

---------
---
 .../concepts/arrays/terms/sort/sort.md        | 107 ++++++++++++-----
 content/javascript/concepts/sort/sort.md      | 112 ------------------
 2 files changed, 75 insertions(+), 144 deletions(-)
 delete mode 100644 content/javascript/concepts/sort/sort.md

diff --git a/content/javascript/concepts/arrays/terms/sort/sort.md b/content/javascript/concepts/arrays/terms/sort/sort.md
index 9c22e85cd3e..9ccdac1a5a9 100644
--- a/content/javascript/concepts/arrays/terms/sort/sort.md
+++ b/content/javascript/concepts/arrays/terms/sort/sort.md
@@ -1,68 +1,111 @@
 ---
 Title: '.sort()'
-Description: 'Returns an array with its items sorted in place.'
+Description: 'Sorts the elements of an array in place.'
 Subjects:
-  - 'Web Development'
   - 'Computer Science'
+  - 'Web Development'
 Tags:
   - 'Arrays'
-  - 'Comparison'
   - 'Functions'
   - 'Methods'
-  - 'Sort'
-  - 'Unicode'
+  - 'Values'
 CatalogContent:
   - 'introduction-to-javascript'
   - 'paths/front-end-engineer-career-path'
 ---
 
-The **`.sort()`** method returns an array with its items sorted in place.
+The JS **`.sort()`** [method](https://www.codecademy.com/resources/docs/javascript/methods) is used to sort the elements of an array in place. By default, it sorts elements as [strings](https://www.codecademy.com/resources/docs/javascript/strings) in ascending order. However, a custom comparison [function](https://www.codecademy.com/resources/docs/javascript/functions) can be provided to achieve more advanced sorting.
 
-## Syntax
+## JS `.sort()` Syntax
 
 ```pseudo
-// No parameters
-array.sort();
-
-// With optional function
-array.sort((firstElement, secondElement) => { /* function body */ };
+arr.sort(compareFn)
 ```
 
-If the `.sort()` method is used with no arguments, all items with `undefined` values are shifted to the end of the array while the remaining items are converted to [strings](https://www.codecademy.com/resources/docs/javascript/strings) and sorted by [Unicode code point value](https://en.wikipedia.org/wiki/Code_point).
+**Parameters:**
 
-An optional function is used to define how items are sorted. This is done by iterating over the `array` and comparing every `firstElement` and `secondElement` in the `/* function body */`.
+- `compareFn` (Optional): A function that defines the sort order. It takes two arguments, `a` and `b`, and should return:
+  - A negative value if `a` should come before `b`
+  - `0` if `a` and `b` are considered equal
+  - A positive value if `a` should come after `b`
 
-## Example
+**Return value:**
 
-In the following example, the `.sort()` method is applied to two arrays, `letters` and `numbers` (a mix of floats and integers):
+JS `.sort()` returns the original array with its elements sorted in the given order.
 
-```js
-const letters = ['d', 'b', 'e', 'a', 'c'];
-const numbers = [5, 2, 123, 5.01, 43.5];
+## Example 1: Sorting Array of Strings Using JS `.sort()`
 
-console.log('Letters: ', letters.sort());
-console.log('Numbers: ', numbers.sort());
+This example uses JS `.sort()` to sort an array of strings:
+
+```js
+const fruits = ['banana', 'apple', 'cherry', 'date'];
+fruits.sort();
+console.log(fruits);
 ```
 
-This results in the following output:
+Here is the output:
 
 ```shell
-Letters: [ 'a', 'b', 'c', 'd', 'e' ]
-Numbers: [ 123, 2, 43.5, 45, 5, 5.01 ]
+[ 'apple', 'banana', 'cherry', 'date' ]
 ```
 
-The `letters` were sorted in alphabetical order. The items in `numbers` were sorted based on the leading number in the item's value (e.g., their Unicode value). Sorting numerical values more strictly requires a custom comparison function.
+## Example 2: Sorting Array of Numbers Using JS `.sort()`
 
-## Codebyte Example
+This example uses JS `.sort()` with a comparison function to sort an array of numbers:
 
-The following example showcases how the optional `callback` argument can be used to sort a `numbers` array in ascending and descending order:
+```js
+const numbers = [10, 5, 20, 1, 100];
+numbers.sort((a, b) => a - b);
+console.log(numbers);
+```
+
+Here is the output:
+
+```shell
+[ 1, 5, 10, 20, 100 ]
+```
+
+## Codebyte Example: Sorting Array of Objects Using JS `.sort()`
+
+This codebyte example uses JS `.sort()` to sort an array of objects:
 
 ```codebyte/javascript
-const numbers = [5, 2, 123, 5.01, 43.5];
+const users = [
+  { name: "Alice", age: 25 },
+  { name: "Bob", age: 20 },
+  { name: "Charlie", age: 30 }
+];
+
+users.sort((a, b) => a.age - b.age);
 
-const ascending = numbers.sort((a, b) => a - b);
-console.log("Ascending order: ", ascending);
+console.log(users);
+```
+
+## Frequently Asked Questions
+
+### 1. How do I sort numbers in descending order using JS `.sort()`?
+
+You can reverse the comparison in your function in JS `.sort()` to sort numbers in descending order:
+
+```js
+numbers.sort((a, b) => b - a);
+```
+
+### 2. Can I use `sort()` on a string?
 
-const descending = numbers.sort((a, b) => b - a);
-console.log("Descending order: ", descending);
+No. The `sort()` method is only available on arrays, not on strings. If you want to sort the characters of a string, you first need to convert it into an array (for example, using `split()`), apply `sort()`, and then join it back:
+
+```js
+const str = 'hello';
+const sorted = str.split('').sort().join('');
+console.log(sorted); // "ehllo"
+```
+
+### 3. What happens when `sort()` is used in a list (array)?
+
+When you call `sort()` on an array, JavaScript converts the elements to strings by default and compares them in Unicode code point order. This means that numbers may not sort as you expect:
+
+```js
+const numbers = [10, 1, 5];
+console.log(numbers.sort()); // [1, 10, 5] (string comparison)
 ```
diff --git a/content/javascript/concepts/sort/sort.md b/content/javascript/concepts/sort/sort.md
deleted file mode 100644
index d8b3d75b43c..00000000000
--- a/content/javascript/concepts/sort/sort.md
+++ /dev/null
@@ -1,112 +0,0 @@
----
-Title: 'Sort'
-Description: 'Sorts the contents of an array and returns the sorted array. This sorting is done in place and affects the original array.'
-Subjects:
-  - 'Web Development'
-  - 'Computer Science'
-Tags:
-  - 'Arrays'
-  - 'Methods'
-
-CatalogContent:
-  - 'introduction-to-javascript'
-  - 'paths/front-end-engineer-career-path'
----
-
-In JavaScript, the **`.sort()`** method of an array sorts the contents of an array and returns the sorted array. This sorting is done in place and affects the original array. No copy is made. The default sort is in ascending string order.
-
-The `.sort()` method allows the passing of a comparison function to change the ordering of the sort.
-
-## Syntax
-
-```pseudo
-// Perform the default sort
-someArray.sort()
-
-// Perform the sort using an arrow function for comparisons
-somearray.sort((A, B) => { ... } )
-
-// Perform the sort with an inline compare function
-somearray.sort(function compareFn(A, B) { ... })
-
-// Perform the sort with a compare function
-somearray.sort(compareFn)
-```
-
-- `compareFn` is the optional comparison function.
-- `A` is the first array item being compared.
-- `B` is the second array item being compared.
-
-## Default Sort Order
-
-If no comparison function are provided, the `.sort()` method will sort the array in ascending string order.
-
-For items that are not strings, `.sort()` will convert them into strings before comparing them. This can lead to unexpected results:
-
-```js
-let numbers = [33, 16, 156, 2, 9, 5, 10];
-
-numbers.sort();
-
-console.log(numbers);
-// Output: [10, 156, 16, 2, 33, 5, 9]
-```
-
-## Comparison Function
-
-The comparison function, if provided, will determine the sorting of all non-`undefined` items in the array. All `undefined` items are sorted to the end of the array, and no `undefined` items are passed to the comparison function.
-
-The comparison function determines the sort order as follows:
-
-For the function `CompareFn(A, B)`:
-
-- If the function returns a value greater than zero, sort `B` before `A`.
-- If the function returns a value less than zero, sort `A` before `B`.
-- If the function returns a value of zero, the positions of `A` and `B` remain unchanged.
-- The function must return the same result for any specific pair of values `A` and `B` provided. Otherwise, the sort order is undefined.
-
-To sort an array in numeric order rather than string order, the following function can be used as long as the array doesn't contain `Infinity` or `NaN`:
-
-```js
-function compareFn(A, B) {
-  return A - B;
-}
-```
-
-So we can fix the prior example:
-
-```js
-let numbers = [33, 16, 156, 2, 9, 5, 10];
-
-numbers.sort(function compareFn(A, B) {
-  return A - B;
-});
-
-console.log(numbers);
-// Output: [2, 5, 9, 10, 16, 33, 156]
-```
-
-## Codebyte Example
-
-The below Codebyte example uses a comparison function with `.sort()` in order to sort the array alphabetically while ignoring the case:
-
-```codebyte/javascript
-//Comparison Function
-function compareFn(A, B) {
-  if (A.toLowerCase() > B.toLowerCase()) {
-    return 1;
-  }
-  if (A.toLowerCase() < B.toLowerCase()) {
-    return -1;
-  }
-  return 0;
-}
-
-let array = ["alpha","Beta", "gamma", "delta", "epsilon", "Zeta", "Eta", "theta"];
-
-//The output without using the comparison function
-console.log(array.sort());
-
-//The output with using the comparison function
-console.log(array.sort(compareFn));
-```

From 78017a45ce24c35b345c0052e8f67da8a96dd943 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 17 Sep 2025 21:58:56 +0530
Subject: [PATCH 163/332] [Edit] Concept Entry: Powershell conditionals (#7554)

* [Edit] Concept entry: Conditionals PowerShell

* Update conditionals.md

* Update content/powershell/concepts/conditionals/conditionals.md

* Update content/powershell/concepts/conditionals/conditionals.md

* Update content/powershell/concepts/conditionals/conditionals.md

* Update content/powershell/concepts/conditionals/conditionals.md

---------
---
 .../concepts/conditionals/conditionals.md     | 95 +++++++++++++++++--
 1 file changed, 86 insertions(+), 9 deletions(-)

diff --git a/content/powershell/concepts/conditionals/conditionals.md b/content/powershell/concepts/conditionals/conditionals.md
index f08abf67181..f00a6e54c35 100644
--- a/content/powershell/concepts/conditionals/conditionals.md
+++ b/content/powershell/concepts/conditionals/conditionals.md
@@ -1,10 +1,10 @@
 ---
 Title: 'Conditionals'
-Description: 'The if, else, elseif, and switch conditionals in PowerShell are used for control flow. They allow the choice of which sections of code are executed based on conditions.'
+Description: 'Control program flow in PowerShell using if, else, elseif, and switch to execute code based on conditions.'
 Subjects:
+  - 'Bash/Shell'
   - 'Code Foundations'
   - 'Computer Science'
-  - 'Bash/Shell'
 Tags:
   - 'Break'
   - 'Conditionals'
@@ -26,9 +26,17 @@ There are four types of conditional statements in PowerShell:
 3. `elseif`
 4. `switch`
 
-## if
+## `if` in PowerShell
+
+The `if` statement executes a block of code if the condition expression is `True`. Syntax for `if` in PowerShell is:
+
+```pseudo
+if (<condition>) {
+  <statements>
+}
+```
 
-The `if` statement executes a block of code if the condition expression is `True`.
+### Example for `if` statement in PowerShell
 
 ```shell
 $my_num = 2
@@ -40,13 +48,26 @@ Write-Host "After the if statement"
 
 The example above prints `"A True Statement"` and `"After the if statement"` if `$my_num` is equal to `2`. Otherwise, it skips the statement within the `if` curly braces `{ }` and just prints `"After the if statement"`.
 
-## else
+## `else` in PowerShell
 
 The `else` clause always follows the `if` statement.
 
 - If the condition is `True`, the code in the `if` section is executed.
 - If the condition is `False`, the code in the `else` section is executed.
 
+Here is the syntax for `else` in PowerShell:
+
+```pseudo
+if (<condition>) {
+  <statements>
+}
+else {
+  <statements>
+}
+```
+
+### PowerShell `else` statement example
+
 ```shell
 $my_num = 2
 if($my_num -gt 0) {
@@ -59,9 +80,23 @@ else {
 }
 ```
 
-## elseif
+## `elseif` in PowerShell
+
+One or more `elseif` statements can be added between `if` and `else` to test multiple conditions. Here is the syntax for `elseif` in PowerShell:
+
+```pseudo
+if (<condition1>) {
+  <statements>
+}
+elseif (<condition2>) {
+  <statements>
+}
+else {
+  <statements>
+}
+```
 
-One or more `elseif` statements can be added between `if` and `else` to test multiple conditions.
+### PowerShell `elseif` statement example
 
 ```shell
 $my_num = 2
@@ -79,9 +114,19 @@ else {
 }
 ```
 
-## switch
+## `switch` in PowerShell
 
-The `switch` statement provides a simpler syntax for the same behavior as `if` / `elseif` expressions that check for equality.
+The `switch` statement provides a simpler syntax for the same behavior as `if` / `elseif` expressions that check for equality. Here is the syntax for `switch` in PowerShell:
+
+```pseudo
+switch (<value>) {
+  <pattern1> { <statements> }
+  <pattern2> { <statements> }
+  default    { <statements> }
+}
+```
+
+### Example for `switch` in Powershell
 
 ```shell
 $my_num = 2
@@ -139,3 +184,35 @@ switch ($my_num) {
   }
 }
 ```
+
+## Frequently Asked Questions
+
+### 1. How to use if condition in PowerShell?
+
+In PowerShell, the `if` statement checks whether a condition is true before running a block of code. Here is how to implement it:
+
+```shell
+$number = 10
+if ($number -gt 5) {
+  Write-Output "Number is greater than 5"
+}
+```
+
+### 2. Does PowerShell have else if?
+
+Yes, PowerShell supports `elseif` for multiple conditions.
+
+```shell
+$score = 75
+if ($score -ge 90) {
+  Write-Output "Grade: A"
+} elseif ($score -ge 75) {
+  Write-Output "Grade: B"
+} else {
+  Write-Output "Grade: C"
+}
+```
+
+### 3. Can I use ++ in PowerShell?
+
+Yes. PowerShell supports the unary `++` and `--` operators for incrementing and decrementing values. It also supports unary `-` for negation.

From d63e0bd556ab8cc4812cd1b0b3396bd6c55a2fe4 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 22 Sep 2025 17:37:30 +0530
Subject: [PATCH 164/332] [Edit] PyTorch: .mean() (#7623)

* [Edit] PyTorch: .mean()

* slight faq update

* added backlink

---------
---
 .../concepts/tensors/terms/mean/mean.md       | 126 +++++++++++++++---
 1 file changed, 107 insertions(+), 19 deletions(-)

diff --git a/content/pytorch/concepts/tensors/terms/mean/mean.md b/content/pytorch/concepts/tensors/terms/mean/mean.md
index 504148af785..7ab9597ffc2 100644
--- a/content/pytorch/concepts/tensors/terms/mean/mean.md
+++ b/content/pytorch/concepts/tensors/terms/mean/mean.md
@@ -1,6 +1,6 @@
 ---
 Title: '.mean()'
-Description: 'Calculates the mean of all elements in a PyTorch tensor or along a specified dimension.'
+Description: 'Calculates the mean of all elements or along a specified dimension in a PyTorch tensor.'
 Subjects:
   - 'AI'
   - 'Data Science'
@@ -14,22 +14,29 @@ CatalogContent:
   - 'paths/data-science'
 ---
 
-The **.mean()** method in PyTorch computes the arithmetic mean (average) of tensor elements. It can calculate the mean for all elements in the tensor or along a specified dimension. This method is widely used in data preprocessing and analysis for summarizing data.
+The **`torch.mean()`** method in PyTorch computes the arithmetic mean (average) of a given [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It can calculate the mean of all elements or along a specified dimension in the tensor. This method is widely used in data preprocessing and analysis for summarizing data.
 
-## Syntax
+## `torch.mean()` Syntax
 
 ```pseudo
-tensor.mean(dim=None, keepdim=False)
+torch.mean(input, dim, keepdim=False, *, dtype=None, out=None)
 ```
 
-- `dim` (optional): The dimension along which the mean is computed. If not specified, the mean of all elements is calculated.
-- `keepdim` (optional): If `True`, retains the reduced dimension with size `1`. Defaults to `False`.
+**Parameters:**
 
-The function returns a tensor containing the mean value(s).
+- `input`: The input tensor.
+- `dim` (Optional): The dimension along which the mean is computed. If not specified, the mean of all elements is calculated.
+- `keepdim` (Optional): If `True`, retains the reduced dimension(s) with size `1`. Defaults to `False`.
+- `dtype` (Optional): The desired data type for the output tensor.
+- `out` (Optional): The output tensor.
 
-## Example
+**Return value:**
 
-This example demonstrates calculating the mean of all elements in a tensor and along a specific dimension:
+The `torch.mean()` method returns a tensor containing the mean value(s).
+
+## Example 1: Mean of All Elements Using `torch.mean()`
+
+This example calculates the mean of all elements in a tensor using `torch.mean()`:
 
 ```py
 import torch
@@ -38,23 +45,104 @@ import torch
 tensor = torch.tensor([[1.0, 2.0], [3.0, 4.0]])
 
 # Calculate the mean of all elements
-mean_all = tensor.mean()
-
-# Calculate the mean along dimension 0 (columns)
-mean_dim0 = tensor.mean(dim=0)
+mean_all = torch.mean(tensor)
 
 print("Mean of all elements:", mean_all)
-print("Mean along dimension 0:", mean_dim0)
 ```
 
-This example results in the following output:
+Here is the output:
 
 ```shell
 Mean of all elements: tensor(2.5000)
-Mean along dimension 0: tensor([2.0000, 3.0000])
 ```
 
-In this example:
+## Example 2: Mean Along Columns Using `torch.mean()`
+
+This example calculates the mean along dimension `0` (columns) in a tensor using `torch.mean()`:
+
+```py
+import torch
+
+# Create a tensor
+tensor = torch.tensor([[1.0, 2.0], [3.0, 4.0]])
+
+# Calculate the mean along dimension 0 (columns)
+mean_dim0 = torch.mean(tensor, dim=0)
+
+print("Mean along columns:", mean_dim0)
+```
+
+Here is the output:
+
+```shell
+Mean along columns: tensor([2., 3.])
+```
+
+## Example 3: Mean Along Rows Using `torch.mean()`
+
+This example calculates the mean along dimension `1` (rows) in a tensor using `torch.mean()`:
+
+```py
+import torch
+
+# Create a tensor
+tensor = torch.tensor([[1.0, 2.0], [3.0, 4.0]])
+
+# Calculate the mean along dimension 1 (rows)
+mean_dim1 = torch.mean(tensor, dim=1)
+
+print("Mean along rows:", mean_dim1)
+```
+
+Here is the output:
+
+```shell
+Mean along rows: tensor([1.5000, 3.5000])
+```
+
+## Frequently Asked Questions
+
+### 1. What is the mean function in PyTorch?
+
+`torch.mean()` computes the arithmetic mean (average) of a given tensor. By default, it calculates the mean of all elements in the tensor:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([1., 2., 3., 4.])
+
+# Calculate the mean of all elements
+print(torch.mean(x)) # tensor(2.5000)
+```
+
+### 2. How do I compute the mean along a specific axis using `torch.mean()`?
+
+To compute the mean along a specific axis, Use the `dim` parameter with `torch.mean()`:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([[1., 2.], [3., 4.]])
+
+# Calculate the mean along dimension 0 (columns)
+print(torch.mean(x, dim=0)) # tensor([2., 3.])
+
+# Calculate the mean along dimension 1 (rows)
+print(torch.mean(x, dim=1)) # tensor([1.5000, 3.5000])
+```
+
+### 3. What does `keepdim=True` do in `torch.mean()`?
+
+`keepdim=True` in `torch.mean()` keeps the reduced dimension(s) with size `1`:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([[1., 2.], [3., 4.]])
 
-- `mean_all` computes the mean of all elements in the tensor.
-- `mean_dim0` computes the mean along each column (dimension 0), reducing the rows. This makes `.mean()` a versatile tool for data analysis.
+# Calculate the mean along rows with keepdim=True
+print(torch.mean(x, dim=1, keepdim=True)) # tensor([[1.5000], [3.5000]])
+```

From 2d36e67f4e388bd0f0f70b8c973d747d4d37b36b Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 26 Sep 2025 14:46:04 +0530
Subject: [PATCH 165/332] [Term Entry] C++ Sets: emplace() (#7513)

* [Term Entry] C++ Sets: emplace()

* Update content/cpp/concepts/sets/terms/emplace/emplace.md

---------
---
 .../concepts/sets/terms/emplace/emplace.md    | 216 ++++++++++++++++++
 1 file changed, 216 insertions(+)
 create mode 100644 content/cpp/concepts/sets/terms/emplace/emplace.md

diff --git a/content/cpp/concepts/sets/terms/emplace/emplace.md b/content/cpp/concepts/sets/terms/emplace/emplace.md
new file mode 100644
index 00000000000..ce705bb187c
--- /dev/null
+++ b/content/cpp/concepts/sets/terms/emplace/emplace.md
@@ -0,0 +1,216 @@
+---
+Title: 'emplace()'
+Description: 'Constructs and inserts a new element directly into the set using in-place construction'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Data Structures'
+  - 'Methods'
+  - 'Sets'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`emplace()`** method is a member function of the C++ `std::set` container that constructs and inserts a new element directly into the set. Unlike traditional insertion methods, `emplace()` constructs the element in-place using the provided arguments, avoiding unnecessary copy or move operations and improving performance by eliminating temporary object creation.
+
+## Syntax of C++ `emplace()`
+
+```pseudo
+std::pair<iterator, bool> emplace(Args&&... args);
+```
+
+**Parameters:**
+
+- `args`: Arguments forwarded to the constructor of the element to be constructed and inserted
+
+**Return value:**
+
+Returns a `std::pair` consisting of:
+
+- `iterator`: Points to the inserted element, or to the existing element if no insertion occurred
+- `bool`: `true` if insertion took place, `false` if the element already existed
+
+## Example 1: Basic `emplace()` Usage
+
+This example demonstrates the fundamental usage of `emplace()` with integer elements:
+
+```cpp
+#include <iostream>
+#include <set>
+
+int main() {
+  std::set<int> numbers;
+
+  // Insert elements using emplace()
+  auto result1 = numbers.emplace(10);
+  auto result2 = numbers.emplace(20);
+  auto result3 = numbers.emplace(10); // Duplicate element
+
+  // Check insertion results
+  std::cout << "Inserted 10: " << result1.second << std::endl;
+  std::cout << "Inserted 20: " << result2.second << std::endl;
+  std::cout << "Inserted 10 again: " << result3.second << std::endl;
+
+  // Display set contents
+  std::cout << "Set contains: ";
+  for (const auto& num : numbers) {
+    std::cout << num << " ";
+  }
+  std::cout << std::endl;
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Inserted 10: 1
+Inserted 20: 1
+Inserted 10 again: 0
+Set contains: 10 20
+```
+
+This example shows how `emplace()` constructs elements directly in the set. The first insertion of 10 succeeds, but the second attempt fails because sets only contain unique elements.
+
+## Example 2: Student Grade Management with `emplace()`
+
+This example demonstrates using `emplace()` in a real-world scenario for managing student grades:
+
+```cpp
+#include <iostream>
+#include <set>
+#include <string>
+
+struct Student {
+  std::string name;
+  int grade;
+
+  Student(const std::string& n, int g) : name(n), grade(g) {}
+
+  // Comparison operator for set ordering
+  bool operator<(const Student& other) const {
+    return grade > other.grade; // Higher grades first
+  }
+};
+
+int main() {
+  std::set<Student> topStudents;
+
+  // Add students using emplace() - constructs Student objects in-place
+  auto result1 = topStudents.emplace("Alice", 95);
+  auto result2 = topStudents.emplace("Bob", 88);
+  auto result3 = topStudents.emplace("Carol", 92);
+  auto result4 = topStudents.emplace("Alice", 90); // Same name, different grade
+
+  std::cout << "Students added successfully:" << std::endl;
+  std::cout << "Alice (95): " << result1.second << std::endl;
+  std::cout << "Bob (88): " << result2.second << std::endl;
+  std::cout << "Carol (92): " << result3.second << std::endl;
+  std::cout << "Alice (90): " << result4.second << std::endl;
+
+  // Display top students (sorted by grade descending)
+  std::cout << "\nTop Students Ranking:" << std::endl;
+  int rank = 1;
+  for (const auto& student : topStudents) {
+    std::cout << rank++ << ". " << student.name
+              << " (Grade: " << student.grade << ")" << std::endl;
+  }
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Students added successfully:
+Alice (95): 1
+Bob (88): 1
+Carol (92): 1
+Alice (90): 1
+
+Top Students Ranking:
+1. Alice (Grade: 95)
+2. Carol (Grade: 92)
+3. Bob (Grade: 88)
+4. Alice (Grade: 90)
+```
+
+This example shows how `emplace()` can efficiently construct complex objects directly in the set, avoiding the overhead of creating temporary `Student` objects.
+
+## Codebyte Example: Product Inventory System with `emplace()`
+
+This example demonstrates using `emplace()` for managing a product inventory system with unique product codes:
+
+```cpp
+#include <iostream>
+#include <set>
+#include <string>
+#include <iomanip>
+
+struct Product {
+  std::string code;
+  std::string name;
+  double price;
+
+  Product(const std::string& c, const std::string& n, double p)
+    : code(c), name(n), price(p) {}
+
+  // Products are ordered by code for efficient lookup
+  bool operator<(const Product& other) const {
+    return code < other.code;
+  }
+};
+
+int main() {
+  std::set<Product> inventory;
+
+  // Add products using emplace() - avoids creating temporary Product objects
+  std::cout << "Adding products to inventory:" << std::endl;
+
+  auto laptop = inventory.emplace("LAP001", "Gaming Laptop", 1299.99);
+  auto mouse = inventory.emplace("MOU001", "Wireless Mouse", 79.99);
+  auto keyboard = inventory.emplace("KEY001", "Mechanical Keyboard", 149.99);
+  auto duplicate = inventory.emplace("LAP001", "Office Laptop", 899.99);
+
+  std::cout << "Gaming Laptop added: " << laptop.second << std::endl;
+  std::cout << "Wireless Mouse added: " << mouse.second << std::endl;
+  std::cout << "Mechanical Keyboard added: " << keyboard.second << std::endl;
+  std::cout << "Duplicate laptop code: " << duplicate.second << std::endl;
+
+  // Display inventory sorted by product code
+  std::cout << "\nCurrent Inventory:" << std::endl;
+  std::cout << std::left << std::setw(8) << "Code"
+            << std::setw(20) << "Name"
+            << std::right << std::setw(10) << "Price" << std::endl;
+  std::cout << std::string(38, '-') << std::endl;
+
+  for (const auto& product : inventory) {
+    std::cout << std::left << std::setw(8) << product.code
+              << std::setw(20) << product.name
+              << std::right << std::setw(10) << std::fixed
+              << std::setprecision(2) << "$" << product.price << std::endl;
+  }
+
+  return 0;
+}
+```
+
+This example illustrates how `emplace()` ensures product code uniqueness in an inventory system, preventing duplicate entries while maintaining efficient sorted order.
+
+## Frequently Asked Questions
+
+### 1. What's the difference between `emplace()` and `insert()`?
+
+`emplace()` constructs the element in-place using the provided arguments, while `insert()` requires an already constructed object. `emplace()` can be more efficient as it avoids creating temporary objects.
+
+### 2. What happens if I try to emplace a duplicate element?
+
+The `emplace()` operation fails and returns a pair with the iterator pointing to the existing element and `false` indicating no insertion occurred.
+
+### 3. Can `emplace()` invalidate iterators?
+
+No, `emplace()` does not invalidate any existing iterators or references in the set.

From 24397c0bf2d042ed98bf2ee83c740b064e1eb384 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 26 Sep 2025 14:54:02 +0530
Subject: [PATCH 166/332] [Term Entry] C++ Operators: assignment-operators
 (#7514)

---
 .../assignment-operators.md                   | 311 ++++++++++++++++++
 1 file changed, 311 insertions(+)
 create mode 100644 content/cpp/concepts/operators/terms/assignment-operators/assignment-operators.md

diff --git a/content/cpp/concepts/operators/terms/assignment-operators/assignment-operators.md b/content/cpp/concepts/operators/terms/assignment-operators/assignment-operators.md
new file mode 100644
index 00000000000..be74e06e4ea
--- /dev/null
+++ b/content/cpp/concepts/operators/terms/assignment-operators/assignment-operators.md
@@ -0,0 +1,311 @@
+---
+Title: 'Assignment Operators'
+Description: 'Assigns values to variables using basic and compound assignment operators in C++'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arithmetic'
+  - 'Operators'
+  - 'Variables'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+**Assignment operators** in C++ are fundamental operators used to assign values to variables. They perform the essential task of storing data in memory locations represented by variables, enabling programs to manipulate and update data during execution.
+
+## List of Assignment Operators
+
+C++ provides several types of assignment operators as follows:
+
+- `=` (Simple assignment)
+- `+=` (Addition assignment)
+- `-=` (Subtraction assignment)
+- `*=` (Multiplication assignment)
+- `/=` (Division assignment)
+- `%=` (Modulus assignment)
+- `&=` (Bitwise AND assignment)
+- `|=` (Bitwise OR assignment)
+- `^=` (Bitwise XOR assignment)
+- `<<=` (Left shift assignment)
+- `>>=` (Right shift assignment)
+
+## Examples of Assignment Operators
+
+### Basic Assignment Operator (`=`)
+
+The basic assignment operator (`=`) assigns a value from the right operand to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 10;
+  cout << x;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+10
+```
+
+The value `10` is assigned to variable `x` using the basic assignment operator `=`.
+
+### Addition Assignment Operator (`+=`)
+
+The addition assignment operator (`+=`) adds the right operand to the left operand and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 5;
+  x += 3;  // Equivalent to: x = x + 3
+  cout << x;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+8
+```
+
+The operator `+=` adds `3` to the current value of `x` (which is `5`) and assigns the result (`8`) back to `x`.
+
+### Subtraction Assignment Operator (`-=`)
+
+The subtraction assignment operator (`-=`) subtracts the right operand from the left operand and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 10;
+  x -= 4;  // Equivalent to: x = x - 4
+  cout << x;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+6
+```
+
+The operator `-=` subtracts `4` from the current value of `x` (which is `10`) and assigns the result (`6`) back to `x`.
+
+### Multiplication Assignment Operator (`*=`)
+
+The multiplication assignment operator (`*=`) multiplies the left operand by the right operand and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 3;
+  x *= 4;  // Equivalent to: x = x * 4
+  cout << x;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+12
+```
+
+The operator `*=` multiplies the current value of `x` (which is `3`) by `4` and assigns the result (`12`) back to `x`.
+
+### Division Assignment Operator (`/=`)
+
+The division assignment operator (`/=`) divides the left operand by the right operand and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  double x = 20.0;
+  x /= 4;  // Equivalent to: x = x / 4
+  cout << x;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+5
+```
+
+The operator `/=` divides the current value of `x` (which is `20.0`) by `4` and assigns the result (`5`) back to `x`.
+
+### Modulus Assignment Operator (`%=`)
+
+The modulus assignment operator (`%=`) calculates the remainder when the left operand is divided by the right operand and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 17;
+  x %= 5;  // Equivalent to: x = x % 5
+  cout << x;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+2
+```
+
+The operator `%=` calculates the remainder when `x` (which is `17`) is divided by `5`, resulting in `2`, and assigns this value back to `x`.
+
+### Bitwise AND Assignment Operator (`&=`)
+
+The bitwise AND assignment operator (`&=`) performs a bitwise AND operation between the left and right operands and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 12;  // Binary: 1100
+  x &= 10;     // Binary: 1010, Result: 1000 (8 in decimal)
+  cout << x;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+8
+```
+
+The operator `&=` performs bitwise AND between `12` (binary: 1100) and `10` (binary: 1010), resulting in `8` (binary: 1000).
+
+### Bitwise OR Assignment Operator (`|=`)
+
+The bitwise OR assignment operator (`|=`) performs a bitwise OR operation between the left and right operands and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 12;  // Binary: 1100
+  x |= 10;     // Binary: 1010, Result: 1110 (14 in decimal)
+  cout << x;
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+14
+```
+
+The operator `|=` performs bitwise OR between `12` (binary: 1100) and `10` (binary: 1010), resulting in `14` (binary: 1110).
+
+### Bitwise XOR Assignment Operator (`^=`)
+
+The bitwise XOR assignment operator (`^=`) performs a bitwise XOR operation between the left and right operands and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 12;  // Binary: 1100
+  x ^= 10;     // Binary: 1010, Result: 0110 (6 in decimal)
+  cout << x;
+  return 0;
+}
+```
+
+**Output:**
+
+```shell
+6
+```
+
+The operator `^=` performs bitwise XOR between `12` (binary: 1100) and `10` (binary: 1010), resulting in `6` (binary: 0110).
+
+### Left Shift Assignment Operator (`<<=`)
+
+The left shift assignment operator (`<<=`) shifts the bits of the left operand to the left by the number of positions specified by the right operand and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 5;   // Binary: 101
+  x <<= 2;     // Shift left by 2 positions: 10100 (20 in decimal)
+  cout << x;
+  return 0;
+}
+```
+
+**Output:**
+
+```shell
+20
+```
+
+The operator `<<=` shifts the bits of `5` (binary: 101) left by `2` positions, resulting in `20` (binary: 10100).
+
+### Right Shift Assignment Operator (`>>=`)
+
+The right shift assignment operator (`>>=`) shifts the bits of the left operand to the right by the number of positions specified by the right operand and assigns the result to the left operand:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int x = 20;  // Binary: 10100
+  x >>= 2;     // Shift right by 2 positions: 101 (5 in decimal)
+  cout << x;
+  return 0;
+}
+```
+
+**Output:**
+
+```shell
+5
+```
+
+The operator `>>=` shifts the bits of `20` (binary: 10100) right by `2` positions, resulting in `5` (binary: 101).
+
+## Frequently Asked Questions
+
+### 1. What is an assignment operator in C++?
+
+An assignment operator in C++ is a symbol used to assign values to variables. The basic assignment operator `=` assigns the value on the right side to the variable on the left side. Compound assignment operators like `+=`, `-=`, `*=` combine an arithmetic or bitwise operation with assignment.
+
+### 2. Is `==` an assignment operator?
+
+No, `==` is not an assignment operator. It is a comparison operator used to check if two values are equal. The single `=` is the assignment operator, while `==` is used for equality comparison in conditional statements.
+
+### 3. How many types of assignment operators are in C++?
+
+C++ has 11 assignment operators in total: one basic assignment operator (`=`) and 10 compound assignment operators (`+=`, `-=`, `*=`, `/=`, `%=`, `&=`, `|=`, `^=`, `<<=`, `>>=`). These operators provide efficient ways to perform operations and assign results in a single step.

From b090af8113992ed4e2e507cd42bb3a99cc4a240e Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 26 Sep 2025 15:11:26 +0530
Subject: [PATCH 167/332] [Edit] Python: Python CLI arguments (#7639)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Edit] Python: Python CLI arguments

* Update content/python/concepts/command-line-arguments/command-line-arguments.md

---------
---
 .../command-line-arguments.md                 | 188 ++++++++++++------
 1 file changed, 132 insertions(+), 56 deletions(-)

diff --git a/content/python/concepts/command-line-arguments/command-line-arguments.md b/content/python/concepts/command-line-arguments/command-line-arguments.md
index d09f403722a..47c47209db7 100644
--- a/content/python/concepts/command-line-arguments/command-line-arguments.md
+++ b/content/python/concepts/command-line-arguments/command-line-arguments.md
@@ -1,106 +1,182 @@
 ---
 Title: 'Command Line Arguments'
-Description: 'Python offers several methods of parsing command line arguments that are used when launching a program.'
+Description: 'Provides methods to accept input values when running Python scripts from the terminal'
 Subjects:
+  - 'Code Foundations'
   - 'Computer Science'
-  - 'Data Science'
 Tags:
-  - 'Input'
   - 'Arguments'
-  - 'Bash/Shell'
   - 'Command Line'
+  - 'Input'
+  - 'Modules'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-Python offers several methods of parsing **command line arguments** that are used when launching a program. The user has the option of passing various parameters to the program by adding them after the program name. These parameters can be accessed through various modules. The parameter names are left up to the programmer. By convention the parameter `-h` or `--help` (and `/h` and `/help` in Windows) is reserved to print a help message to the console listing the various command line options recognized by the program.
-
-Arguments are passed differently depending on the operating system:
+**Command line arguments** are values passed to a Python program when running it from the terminal or command prompt. They allow users to provide input data to a program without modifying the source code, making programs more flexible and reusable by accepting different parameters at runtime.
 
-- Unix-like arguments are a single letter preceded by a dash (`-h`) or a word preceded by two dashes (`--help`).
-- Windows arguments are a letter or a whole word preceded by a slash (`/h` or `/help`).
+## Ways to Handle Command Line Arguments
 
-## Parsing With `sys.argv`
+Python provides several built-in modules to handle command line arguments, each with different levels of complexity and functionality.
 
-The `sys` module offers the most straightforward method of accessing command line arguments, but it also requires the programmer to do most of the work interpreting them. With the `sys` module, the arguments are passed along in a simple list structure named `sys.argv`.
+### Using `sys.argv`
 
-The first item in the list, `sys.argv[0]` is the name used to launch the Python program, along with the path used. Each subsequent item is a space-delimited argument from the command line used to launch the program. If an argument requires embedded spaces, it needs to be enclosed in quotes to be parsed correctly.
+The `sys.argv` module provides the simplest way to access command line arguments. It stores all arguments passed to the script as a list of strings, where `sys.argv[0]` contains the script name itself.
 
-### Example
+#### Example: Basic `sys.argv` Usage
 
-This prints the script name followed by a list of the command line arguments passed on to the program.
+This example demonstrates how to access and use Python command line arguments using the `sys` module:
 
 ```py
 import sys
 
-print(f"The program name used to launch me is {sys.argv[0]}.")
-print("I was passed the following arguments:")
-for arg in sys.argv[1:]:
-  print(arg)
+# Display all command line arguments
+print("Script name:", sys.argv[0])
+print("All arguments:", sys.argv)
+
+# Check if arguments are provided
+if len(sys.argv) > 1:
+  name = sys.argv[1]
+  print(f"Hello, {name}!")
+else:
+  print("No name provided. Usage: python script.py <name>")
 ```
 
-If this is named `test.py` it can be launched with the following result:
+When running this script with `python greet.py Alice`, it produces the following output:
 
-```bash
-$ test.py --arg1 --arg2 "arg 3"
-The program name used to launch me is test.py.
-I was passed the following arguments:
---arg1
---arg2
-arg 3
+```shell
+Script name: greet.py
+All arguments: ['greet.py', 'Alice']
+Hello, Alice!
 ```
 
-## Parsing With `getopt()`
+The `sys.argv` list contains the script name as the first element, followed by all arguments passed from the command line. All arguments are stored as strings, so type conversion is needed for numeric operations.
+
+### Using `getopt`
+
+The `getopt` module provides a more structured approach to parsing command line options, similar to the C `getopt()` function. It supports both short options (single letters with a hyphen) and long options (words with double hyphens).
 
-Using `getopt()` requires importing both the `sys` and `getopt` modules to work. With `getopt`, parameter validation is possible. This is done by passing a list of the command line arguments themselves, a string of short (one character) options, and a list of long (full word) options. To indicate that the option requires a value to be passed along with it, the short option is followed by a colon (`:`), and the long option is followed by an equals sign (`=`).
+#### Example: File Processing with `getopt`
 
-To set up options for "help", "argument", and a "value" that requires an additional passed value, would look like this:
+This example shows how to create a script that processes input and output files with optional help:
 
-- The short options would be a string like `"hav:"`.
-- The long options would be a list like `["help","argument","value="]`.
+```py
+import sys
+import getopt
+
+def main():
+  input_file = ""
+  output_file = ""
+
+  try:
+    # Parse command line options
+    opts, args = getopt.getopt(sys.argv[1:], "hi:o:", ["help", "input=", "output="])
+  except getopt.GetoptError as err:
+    print(f"Error: {err}")
+    print("Usage: python script.py -i <inputfile> -o <outputfile>")
+    sys.exit(2)
+
+  for opt, arg in opts:
+    if opt in ("-h", "--help"):
+      print("Usage: python script.py -i <inputfile> -o <outputfile>")
+      print("Options:")
+      print("  -i, --input   Input file path")
+      print("  -o, --output  Output file path")
+      print("  -h, --help    Show this help message")
+      sys.exit()
+    elif opt in ("-i", "--input"):
+      input_file = arg
+    elif opt in ("-o", "--output"):
+      output_file = arg
+
+  # Process the files
+  if input_file and output_file:
+    print(f"Processing: {input_file} -> {output_file}")
+  else:
+    print("Both input and output files are required")
+    sys.exit(1)
+
+if __name__ == "__main__":
+  main()
+```
 
-### Syntax
+Running this script with `python process.py -i data.txt -o result.txt` produces:
 
-```python
-options, values = getopt.getopt(arguments, short_options, long_options)
+```shell
+Processing: data.txt -> result.txt
 ```
 
-Where the results of `getopt()` are `options` which is a list of option/value pairs, and `values` which is a list of arguments left after the option list was stripped. The parameters passed to `getopt()` are `arguments`, a list of the arguments as provided by `sys.argv` without the initial program name, the string `short_options` and the list `long_options` as described above.
+The `getopt.getopt()` function parses the argument list and returns a tuple containing option-value pairs and remaining arguments. Short options require a colon after the letter if they expect a value.
 
-If `arguments` contains an option that is not in `short_options` or `long_options` then an `getopt.error` exception is thrown.
+### Using `argparse`
 
-### Example
+The `argparse` module is the most powerful and user-friendly way to handle command line arguments. It automatically generates help messages, handles errors gracefully, and supports various argument types including positional and optional arguments.
 
-This prints the option/value pairs passed as command line arguments.
+#### Example: User Greeting with `argparse`
+
+This example demonstrates creating a user-friendly command line interface:
 
 ```py
-import sys, getopt
+import argparse
+
+# Create argument parser
+parser = argparse.ArgumentParser(description="Greet users with customizable messages")
+
+# Add positional argument
+parser.add_argument("name", help="Name of the person to greet")
 
-arguments = sys.argv[1:]
-short_options = "hav:"
-long_options = ["help","argument","value="]
+# Add optional arguments
+parser.add_argument("-g", "--greeting", default="Hello",
+                   help="Greeting message (default: Hello)")
+parser.add_argument("-u", "--uppercase", action="store_true",
+                   help="Convert output to uppercase")
 
-options, values = getopt.getopt(arguments, short_options, long_options)
+# Parse arguments
+args = parser.parse_args()
 
-for o, v in options:
-  print(f"Option is {o}. Value is {v}.")
+# Create greeting message
+message = f"{args.greeting}, {args.name}!"
+
+# Apply uppercase if requested
+if args.uppercase:
+  message = message.upper()
+
+print(message)
 ```
 
-If this is named **test.py** it can be launched with the following results:
+When executed with `python greet.py Alice -g "Good morning" --uppercase`, the output is:
 
-```bash
-$ test.py -a --value=test
-Option is -a. Value is .
-Option is --value. Value is test.
+```shell
+GOOD MORNING, ALICE!
 ```
 
-**Note**: Since `-a` wasn't defined as requiring a value passed to it, the corresponding value for the option is empty.
+The `argparse` module automatically provides help documentation when using `-h` or `--help`, validates required arguments, and converts values to appropriate types. It handles argument parsing errors by displaying helpful error messages and usage information.
+
+## Frequently Asked Questions
+
+### 1. What are command-line arguments in Python?
+
+Command line arguments in Python are values passed to a script when executing it from the terminal. They provide a way to customize program behavior without modifying the source code, making scripts more flexible and reusable.
+
+### 2. What are the 5 arguments in Python?
+
+There isn't a fixed set of "5 arguments" in Python. The number and type of command line arguments depend on what the program is designed to accept. However, common argument types include: positional arguments (required values), optional arguments (flags with values), boolean flags (on/off switches), help arguments, and version arguments.
+
+### 3. How to pass an argument to a Python script from the command-line?
+
+To pass arguments to a Python script, include them after the script name when running it:
+
+- `python script.py argument1 argument2` - passes multiple arguments
+- `python script.py --option value` - passes an option with a value
+- `python script.py -f --verbose` - passes flags and options
+
+### 4. What is an example of a command-line argument?
 
-## Other Methods of Parsing the Command Line
+A simple example is running `python calculator.py 10 5 add`, where:
 
-There are other methods of parsing command line arguments in Python, which add varying functionality to the task. Some examples include:
+- `calculator.py` is the script name
+- `10` and `5` are numeric arguments
+- `add` is an operation argument
 
-- The `argparse` module, that's been available since Python 3.2, validates fixed and optional arguments and offers a default help message displaying the accepted arguments.
-- The `docopt` module, which is complex and versatile, provides its own language to describe command line options.
-- The `click` module provides arbitrary nesting of commands and automatic help page generation.
+The script can access these values using `sys.argv`, `getopt`, or `argparse` to perform the specified calculation.

From 8c3a306d0af3944ad65d4b8fd9676951e3d2fb44 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 26 Sep 2025 21:13:17 +0530
Subject: [PATCH 168/332] [Edit] Concept entry: Markdown Links (#7558)

* [Edit] Concept entry: Markdown Links

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

* Update content/markdown/concepts/links/links.md

---------
---
 content/markdown/concepts/links/links.md | 212 +++++++++++++++++++----
 1 file changed, 179 insertions(+), 33 deletions(-)

diff --git a/content/markdown/concepts/links/links.md b/content/markdown/concepts/links/links.md
index 746677d80c0..3add0f021f3 100644
--- a/content/markdown/concepts/links/links.md
+++ b/content/markdown/concepts/links/links.md
@@ -1,78 +1,224 @@
 ---
 Title: 'Links'
-Description: 'In Markdown, a link is created by enclosing the link text in square brackets and then following it immediately with the URL in parentheses.'
+Description: 'Creates clickable hyperlinks using square brackets and parentheses to connect text to web addresses, files, or document sections'
 Subjects:
-  - 'Developer Tools'
+  - 'Code Foundations'
   - 'Web Development'
 Tags:
-  - 'URL'
-  - 'GitHub'
-  - 'Documentation'
+  - 'Files'
+  - 'Link'
+  - 'Syntax'
 CatalogContent:
   - 'learn-html'
   - 'paths/front-end-engineer-career-path'
 ---
 
-In Markdown, a link is created by enclosing the link text in square brackets, `[Link text]`, and then following it immediately with the URL in parentheses, `(https://website-name.com)`.
+**Links** in Markdown are clickable references that connect text to web addresses, files, or other sections within documents. They allow users to navigate between different content by creating hyperlinks using a simple, readable syntax that combines square brackets for link text and parentheses for URLs.
+
+## Syntax
+
+The basic syntax for creating links in Markdown uses the following format:
 
 ```pseudo
-[Link text](https://website-name.com)
+[link text](URL)
+[link text](URL "title")
 ```
 
-For example:
+**Parameters:**
+
+- `link text`: The visible, clickable text that appears in the document
+- `URL`: The web address, file path, or anchor reference where the link points
+- `title` (optional): Additional text that appears as a tooltip when hovering over the link
+
+**Return value:**
+
+Links render as HTML `<a>` elements with the specified text and destination, creating clickable hyperlinks in the final document.
+
+## Example 1: Basic Markdown Link Example
+
+Creating a hyperlink to an external website demonstrates the fundamental link syntax in Markdown:
 
 ```md
-We just updated our [Docs Contribution Guide](https://www.codecademy.com/pages/contribute-docs)!
+// Create a basic link to a website
+Check out the [Codecademy documentation](https://www.codecademy.com/resources/docs) for more resources.
 ```
 
-The output would look like:
+The output of this is:
 
-We just updated our [Docs Contribution Guide](https://www.codecademy.com/pages/contribute-docs)!
+Check out the [Codecademy documentation](https://www.codecademy.com/resources/docs) for more resources.
+
+---
 
-## Accessibility: Link Titles
+The link text "Codecademy documentation" becomes clickable and directs users to the specified URL. This example shows the most common use case for Markdown links - connecting to external web resources.
 
-A title for a link can be optionally added. This will appear as a tooltip when the user hovers over the link. To add a title, enclose it in quotation marks `""` after the URL inside the parentheses.
+## Example 2: Link with Title Example
 
-Including link titles improves accessibility by providing additional context for screen readers and users navigating with the keyboard.
+Adding descriptive titles to links improves accessibility and provides additional context for users:
 
 ```md
-[Link text](https://website-name.com 'Link title')
+// Create a link with a descriptive title for better accessibility
+Visit our [Python tutorial](https://www.codecademy.com/learn/learn-python-3 'Learn Python programming fundamentals') to start coding today.
+
+// Multiple links with titles in a navigation context  
+Explore our courses:
+
+- [Web Development](https://www.codecademy.com/catalog/subject/web-development 'Build modern websites and web applications')
+- [Data Science](https://www.codecademy.com/catalog/subject/data-science 'Analyze data and create insights')
+- [Machine Learning](https://www.codecademy.com/catalog/subject/machine-learning 'Build intelligent systems and algorithms')
 ```
 
-For example:
+The output for this is:
+
+Visit our [Python tutorial](https://www.codecademy.com/learn/learn-python-3 'Learn Python programming fundamentals') to start coding today.
+
+Explore our courses:
+
+- [Web Development](https://www.codecademy.com/catalog/subject/web-development 'Build modern websites and web applications')
+- [Data Science](https://www.codecademy.com/catalog/subject/data-science 'Analyze data and create insights')
+- [Machine Learning](https://www.codecademy.com/catalog/subject/machine-learning 'Build intelligent systems and algorithms')
+
+---
+
+The title attribute appears as a tooltip when users hover over the link, providing additional context especially useful for screen readers and accessibility tools.
+
+## Best Practices to Create Markdown Links
+
+### 1. Writing Effective Link Text
+
+Always use descriptive, meaningful text that clearly indicates the link destination. Avoid generic phrases that provide no context about where the link leads.
+
+**Good examples:**
 
 ```md
-My favorite Craigslist category is [Missed Connections](https://newyork.craigslist.org/d/missed-connections/search/mis 'The best place on the internet').
+Read the [Python style guide](https://pep8.org) for coding standards.
+Download the [latest software release](https://github.com/project/releases/latest).
 ```
 
-The output would look like:
+**Avoid:**
 
-My favorite Craigslist category is [Missed Connections](https://newyork.craigslist.org/d/missed-connections/search/mis 'The best place on the internet').
+```md
+Click [here](https://pep8.org) for more information.
+[Read more](https://github.com/project/releases/latest) about this topic.
+```
 
-## URLs and Email Addresses
+### 2. URL Encoding and Special Characters
 
-To turn a URL or email address into a clickable link, enclose it in angle brackets `<URL or email>`.
+When URLs contain parentheses or special characters, encode them properly to prevent parsing issues. Replace opening parentheses with `%28` and closing parentheses with `%29`.
 
-- `<https://www.codecademy.com/resources/docs>`
-- `<demoemail@hotmail.com>`
+```md
+// Correct way to handle URLs with parentheses
+Learn about [Markdown syntax](https://en.wikipedia.org/wiki/Markdown_%28markup_language%29).
 
-The rendered output looks like this:
+// For URLs with spaces, use angle brackets
+<https://example.com/path with spaces/>
+```
 
-- <https://www.codecademy.com/resources/docs>
-- <demoemail@hotmail.com>
+### 3. Reference-Style Links for Organization
 
-## Internal Linking
+Reference-style links improve document maintainability by separating link definitions from their usage. This approach works best when the same URL appears multiple times or when dealing with very long URLs.
 
-An internal link can be used to navigate to other sections within the same document, or sections within other documents on the same website. To add an internal link, use a relative path (when linking to sections in other documents) with the `#` symbol, followed by the section's title. Ensure the title is in lowercase, omit any punctuation and replace spaces with hyphens.
+```md
+// Reference-style links keep the text readable
+Check out our [beginner course][python-course] and [advanced topics][python-advanced].
 
-For example, to link to the `Accessibility: Link Titles` section above:
+// Link definitions can be placed anywhere in the document
+[python-course]: https://www.codecademy.com/learn/learn-python-3 "Learn Python Basics"
+[python-advanced]: https://www.codecademy.com/learn/learn-intermediate-python-3 "Advanced Python Concepts"
+```
+
+### 4. Internal Linking and Anchors
+
+Create internal links to navigate within the same document using the `#` symbol followed by the section heading. Convert headings to lowercase and replace spaces with hyphens.
 
 ```md
-[Accessibility: Link Titles](#accessibility-link-titles)
+// Link to sections within the same document
+See the [Syntax](#syntax) section above for basic formatting rules.
+Jump to [Frequently Asked Questions](#frequently-asked-questions) for common issues.
 ```
 
-The output would look like:
+### 5. Accessibility Considerations
 
-```pseudo
-[Accessibility: Link Titles](#accessibility-link-titles)
+Include optional title attributes to provide additional context for screen readers and users navigating with assistive technologies. Titles appear as tooltips when hovering over links.
+
+```md
+// Adding titles improves accessibility
+Visit our [documentation hub](https://docs.codecademy.com 'Comprehensive guides and tutorials') for detailed information.
 ```
+
+## How to Format Markdown Links
+
+### 1. Inline Link Formatting
+
+The standard inline format places the URL directly after the link text, making it immediately visible in the source document.
+
+```md
+// Basic inline link structure
+[Link Text](URL)
+
+// With optional title
+[Link Text](URL 'Title Text')
+
+// Real examples
+Check out [Codecademy](https://www.codecademy.com) for online courses.
+Visit our [Python course](https://www.codecademy.com/learn/learn-python-3 'Learn Python programming') today.
+```
+
+### 2. Automatic URL Linking
+
+URLs can be automatically converted to clickable links by enclosing them in angle brackets, useful for displaying the full URL as the link text.
+
+```md
+// Automatic linking with angle brackets
+<https://www.codecademy.com>
+<contact@codecademy.com>
+
+// These render as clickable links showing the full URL
+```
+
+### 3. Email Address Linking
+
+Email addresses follow the same pattern as URL links, creating `mailto:` links automatically when enclosed in angle brackets.
+
+```md
+// Email linking formats
+Send questions to <support@codecademy.com>
+Contact our [support team](mailto:support@codecademy.com 'Get help with your account')
+```
+
+### 4. Linking to Images and Files
+
+Links can point to various file types including images, documents, and downloadable resources.
+
+```md
+// Link to downloadable files
+Download the [course syllabus](https://example.com/files/syllabus.pdf 'PDF document')
+View the [project diagram](https://example.com/images/architecture.png 'System architecture overview')
+```
+
+### 5. Multi-line Link Formatting
+
+For very long URLs, maintain readability by breaking reference definitions across multiple lines while keeping the link usage clean.
+
+```md
+// Clean link usage
+Read our comprehensive [style guide][style-guide] for best practices.
+
+// Multi-line reference definition
+[style-guide]: https://very-long-domain-name.com/documentation/
+writing-style-guide/markdown-formatting-standards
+"Complete Markdown Style Guide"
+```
+
+## Frequently Asked Questions
+
+### 1. How do you hyperlink in Markdown?
+
+Use square brackets around the link text followed by parentheses containing the URL: `[link text](URL)`. Optionally add a title in quotes after the URL.
+
+### 2. How do you Markdown a URL with spaces?
+
+Either encode spaces as `%20` or enclose the entire URL in angle brackets: `<URL with spaces>`. For file paths with spaces, use proper encoding or quotes.
+
+### 3. What is the permalink in Markdown?
+
+A permalink is a permanent link to a specific section within a document, created using the `#` symbol followed by the section heading in lowercase with hyphens replacing spaces: `[Section Link](#section-heading)`.

From fe6790dfcbd64d91030a8cf9426d1f764b117124 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 26 Sep 2025 21:20:58 +0530
Subject: [PATCH 169/332] [Edit] Term Entry: Python `slice()` (#7552)

* [Edit] Term Entry: Python `slice()`

* Update content/python/concepts/built-in-functions/terms/slice/slice.md

* Update content/python/concepts/built-in-functions/terms/slice/slice.md

---------
---
 .../built-in-functions/terms/slice/slice.md   | 123 ++++++++++++++----
 1 file changed, 96 insertions(+), 27 deletions(-)

diff --git a/content/python/concepts/built-in-functions/terms/slice/slice.md b/content/python/concepts/built-in-functions/terms/slice/slice.md
index d6abc1f188a..3d796142c3c 100644
--- a/content/python/concepts/built-in-functions/terms/slice/slice.md
+++ b/content/python/concepts/built-in-functions/terms/slice/slice.md
@@ -1,62 +1,131 @@
 ---
 Title: 'slice()'
-Description: 'Returns a slice object, which can be used to slice a sequence such as a string, tuple, list, etc.'
+Description: 'Creates a slice object that specifies how to slice sequences like strings, lists, tuples, and ranges'
 Subjects:
   - 'Computer Science'
-  - 'Data Science'
+  - 'Web Development'
 Tags:
   - 'Data Structures'
   - 'Functions'
-  - 'Properties'
-  - 'Methods'
+  - 'Strings'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-In Python, the **`slice()`** function is used to create a slice object, which can then be applied to a sequence (e.g., a string, tuple, list, etc.).
+The **`slice()`** function creates a slice object that specifies how to slice sequences like [strings](https://www.codecademy.com/resources/docs/python/strings), [lists](https://www.codecademy.com/resources/docs/python/lists), [tuples](https://www.codecademy.com/resources/docs/python/tuples), and [ranges](https://www.codecademy.com/resources/docs/python/built-in-functions/range). It provides a way to extract specific portions of sequences by defining the start, stop, and step parameters, offering more control and readability compared to traditional bracket notation slicing.
 
-## Syntax
+## `slice()` Python Syntax
 
 ```pseudo
+slice(stop)
+slice(start, stop)
 slice(start, stop, step)
 ```
 
-- `start`: This optional integer indicates where the slicing begins. The default value is `0` if not provided.
-- `stop`: This integer indicates up to where the slicing takes place. It stops at index `stop-1` (the last element of the sequence).
-- `step`: This optional integer specifies the increment between each index for slicing. The default value is `1` if not provided.
+**Parameters:**
 
-## Example
+- `start`: Starting index where slicing begins (inclusive). Defaults to `None` if omitted.
+- `stop`: Ending index where slicing stops (exclusive). This parameter is required.
+- `step`: Optional increment between each index for slicing. Defaults to `None` if omitted.
 
-The following example shows the use of the `slice()` function:
+**Return value:**
+
+The `slice()` function returns a slice object that can be used to slice any sequence that supports indexing.
+
+## Example 1: Basic Slice Python Example
+
+This example demonstrates how to create a basic slice object and use it to extract elements from a string:
+
+```py
+# Create a slice object to get first 5 characters
+text = "Python Programming"
+slice_obj = slice(5)
+
+# Apply the slice to the string
+result = text[slice_obj]
+print(result)
+```
+
+The output of this code is:
+
+```shell
+Pytho
+```
+
+The slice object `slice(5)` creates a slice from the beginning (index 0) to index 5 (exclusive), extracting the first 5 characters from the string.
+
+## Example 2: Real-World Slice Python Data Processing
+
+This example shows how `slice()` can be used for processing structured data like log entries or CSV-like data:
 
 ```py
-# Create a tuple with some values in it
-fruits = ("Apple", "Banana", "Orange", "Kiwi", "Strawberry", "Plum", "Watermelon")
+# Processing log entries with fixed-width columns
+log_entries = [
+  "2023-09-01 10:30:45 ERROR Database connection failed",
+  "2023-09-01 10:31:12 INFO  User login successful",
+  "2023-09-01 10:32:01 WARN  Memory usage at 85%"
+]
 
-# Create a slice object
-a = slice(3)
+# Create slice objects for different parts of log entries
+date_slice = slice(0, 10)  # Extract date
+time_slice = slice(11, 19)  # Extract time
+level_slice = slice(20, 25)  # Extract log level
 
-# Return the resultant slice object
-print(fruits[a])
+# Process each log entry
+for entry in log_entries:
+  date = entry[date_slice]
+  time = entry[time_slice]
+  level = entry[level_slice]
+  print(f"Date: {date}, Time: {time}, Level: {level.strip()}")
 ```
 
-The output of the code is as follows:
+The output of this code is:
 
 ```shell
-('Apple', 'Banana', 'Orange')
+Date: 2023-09-01, Time: 10:30:45, Level: ERROR
+Date: 2023-09-01, Time: 10:31:12, Level: INFO
+Date: 2023-09-01, Time: 10:32:01, Level: WARN
 ```
 
-## Codebyte Example
+This demonstrates how `slice()` objects can be reused across multiple data entries, making code more readable and maintainable.
+
+## Codebyte Example: Negative Slice Python Indexing
 
-The following codebyte example demonstrates how the `slice()` function is used to create a slice object, which is then applied to the string to extract specific portions based on the defined ranges:
+This example shows how to use negative indices with `slice()` to extract elements from the end of sequences:
 
 ```codebyte/python
-my_string = 'CompetitiveProgramming'
-slice_obj1 = slice(5)
-slice_obj2 = slice(1, 8, 2)
+# Working with user data where we need last few elements
+user_activities = ["login", "browse", "add_to_cart", "checkout", "payment", "logout"]
+
+# Create slice objects with negative indices
+last_three = slice(-3, None)  # Get last 3 activities
+second_last_to_fourth_last = slice(-4, -1)  # Get middle activities from end
+
+print("Last three activities:")
+print(user_activities[last_three])
 
-print("Resulting slices:")
-print(my_string[slice_obj1])
-print(my_string[slice_obj2])
+print("Activities from 4th last to 2nd last:")
+print(user_activities[second_last_to_fourth_last])
+
+# Reverse slicing with step
+reverse_slice = slice(None, None, -1)
+print("All activities in reverse order:")
+print(user_activities[reverse_slice])
 ```
+
+Using negative indices allows access to elements relative to the end of the sequence, which is especially useful when the sequence length varies.
+
+## Frequently Asked Questions
+
+### 1. What is [:] in Python?
+
+The `[:]` notation is the shorthand slicing syntax equivalent to `slice(None, None, None)`. It creates a shallow copy of the entire sequence without specifying start, stop, or step parameters.
+
+### 2. What does slice do in Python?
+
+The `slice()` function creates a slice object that defines how to extract a portion of a sequence. It specifies the starting index, ending index, and step size for slicing operations, making it easier to reuse slicing logic across multiple sequences.
+
+### 3. What is [-1:] in Python?
+
+The `[-1:]` notation is equivalent to `slice(-1, None)` and extracts elements from the last index to the end of the sequence. Since it starts at index -1 (the last element) and goes to the end, it returns a sequence containing only the last element.

From 5ebd9aa55f1f93b0e02fc83cecffc5bbc5d50866 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Sat, 27 Sep 2025 12:34:26 +0530
Subject: [PATCH 170/332] [Edit] Python: defaultdict (#7646)

* [Edit] Python: defaultdict

* slight faq update

* fixed format

---------
---
 .../terms/defaultdict/defaultdict.md          | 103 +++++++++++++-----
 1 file changed, 73 insertions(+), 30 deletions(-)

diff --git a/content/python/concepts/collections-module/terms/defaultdict/defaultdict.md b/content/python/concepts/collections-module/terms/defaultdict/defaultdict.md
index 296ea4b17cb..36112dd5374 100644
--- a/content/python/concepts/collections-module/terms/defaultdict/defaultdict.md
+++ b/content/python/concepts/collections-module/terms/defaultdict/defaultdict.md
@@ -5,68 +5,111 @@ Subjects:
   - 'Computer Science'
   - 'Data Science'
 Tags:
-  - 'Modules'
-  - 'Dictionaries'
   - 'Data Types'
+  - 'Dictionaries'
+  - 'Modules'
+  - 'Python'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-In Python, **defaultdict** is a data type that belongs to the [`collections`](https://www.codecademy.com/resources/docs/python/collections-module) module. It is a [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) subclass that is used to return a dictionary-like object.
+Python **`defaultdict`** is a [data type](https://www.codecademy.com/resources/docs/python/data-types) that belongs to the `collections` [module](https://www.codecademy.com/resources/docs/python/modules). It is a [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) subclass that is used to return a dictionary-like object.
 
-## Syntax
+## Python `defaultdict` Syntax
 
 ```pseudo
-collections.defaultdict(default_factory)
+from collections import defaultdict
+
+defaultdict(default_factory)
+```
+
+**Parameters:**
+
+- `default_factory`: A [function](https://www.codecademy.com/resources/docs/python/functions) that provides the default value for nonexistent keys. Commonly used with int, list, set, or even custom functions. Examples include:
+  - `int()`: Default value is `0`.
+  - `list()`:Default value is `[]`.
+  - `set()`: Default value is `set()`.
+
+**Return value:**
+
+Returns a `defaultdict` object. If a key does not exist, accessing it will automatically create it with the value returned by `default_factory`.
+
+## Example 1: Counting Items Using Python `defaultdict`
+
+This example uses Python `defaultdict` to count the frequency of elements in a list:
+
+```py
+from collections import defaultdict
+
+fruits = ['apple', 'banana', 'apple', 'orange', 'banana', 'apple']
+
+fruit_count = defaultdict(int)
+
+for fruit in fruits:
+  fruit_count[fruit] += 1
+
+print(fruit_count)
 ```
 
-- `default_factory`: It gives the default value for the dictionary object.
+Here is the output:
+
+```shell
+defaultdict(<class 'int'>, {'apple': 3, 'banana': 2, 'orange': 1})
+```
 
-## Example
+## Example 2: Grouping Items Using Python `defaultdict`
 
-The following example demonstrates the `defaultdict` data type:
+Python `defaultdict` can group items easily without checking if the key exists:
 
 ```py
 from collections import defaultdict
 
-def default_value():
-  return "Not Declared"
+names = [('Alice', 'Math'), ('Bob', 'Science'), ('Alice', 'English')]
 
-myDefaultDict = defaultdict(default_value)
+grouped = defaultdict(list)
 
-myDefaultDict["first"] = 100
-myDefaultDict["second"] = 90
+for name, subject in names:
+  grouped[name].append(subject)
 
-print(myDefaultDict["first"])
-print(myDefaultDict["second"])
-print(myDefaultDict["third"])
+print(grouped)
 ```
 
-Here is the output for the above code:
+Here is the output:
 
 ```shell
-100
-90
-Not Declared
+defaultdict(<class 'list'>, {'Alice': ['Math', 'English'], 'Bob': ['Science']})
 ```
 
-## Codebyte Example
+## Codebyte Example: Using Custom Default Values in Python `defaultdict`
 
-Run the following codeblock and explore more about the `defaultdict` data type:
+This codebyte example provides a custom default value to Python `defaultdict`:
 
 ```codebyte/python
 from collections import defaultdict
 
-def def_val():
-  return "Unknown"
+def default_age():
+  return 18
 
-newDefaultDict = defaultdict(def_val)
+ages = defaultdict(default_age)
 
-newDefaultDict["john"] = 25
-newDefaultDict["snow"] = 40
+ages['John'] = 25
+ages['Doe']  # Key doesn’t exist, uses default 18
 
-print(newDefaultDict["john"])
-print(newDefaultDict["snow"])
-print(newDefaultDict["smith"])
+print(ages)
 ```
+
+## Frequently Asked Questions
+
+### 1. What does `defaultdict` do in Python?
+
+Python `defaultdict` automatically assigns a default value to keys that do not exist, preventing KeyError and reducing the need for explicit key checks.
+
+### 2. Is `defaultdict` faster than `dict` in Python?
+
+In Python, `defaultdict` can be faster than `dict` in scenarios where missing keys are frequently accessed or initialized, as it avoids repeated conditional checks.
+
+### 3. What is the difference between `get()` and `defaultdict` in Python?
+
+- `dict.get(key, default)`: Returns the value for `key` if it exists; otherwise, returns the specified `default` without modifying the dictionary.
+- `defaultdict`: Automatically inserts the key with a default value (from `default_factory`) into the dictionary when accessed.

From ed0aead47a64377e8d2b563c9f2904d8300c59c0 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Sat, 27 Sep 2025 13:52:47 +0530
Subject: [PATCH 171/332] [Edit] AI: Gradient Descent (#7645)

* [Edit] AI: Gradient Descent

* fixed typo

---------
---
 .../gradient-descent/gradient-descent.md      | 58 ++++++++++++++-----
 1 file changed, 44 insertions(+), 14 deletions(-)

diff --git a/content/ai/concepts/search-algorithms/terms/gradient-descent/gradient-descent.md b/content/ai/concepts/search-algorithms/terms/gradient-descent/gradient-descent.md
index aeaab5fe404..f2bd3351dc8 100644
--- a/content/ai/concepts/search-algorithms/terms/gradient-descent/gradient-descent.md
+++ b/content/ai/concepts/search-algorithms/terms/gradient-descent/gradient-descent.md
@@ -2,20 +2,31 @@
 Title: 'Gradient Descent'
 Description: 'Gradient descent is an optimization search algorithm that is widely used in machine learning to train neural networks and other models.'
 Subjects:
-  - 'Data Science'
   - 'AI'
+  - 'Data Science'
 Tags:
-  - 'Search'
-  - 'Algorithms'
   - 'AI'
+  - 'Algorithms'
+  - 'Search'
+  - 'Search Algorithms'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/machine-learning-ai-engineering-foundations'
 ---
 
-**Gradient descent** is an optimization search [algorithm](https://www.codecademy.com/resources/docs/general/algorithm) that is widely used in [machine learning](https://www.codecademy.com/resources/docs/ai/machine-learning) to train neural networks and other models. It is a fundamental optimization algorithm that is used in many fields of [artificial intelligence](https://www.codecademy.com/resources/docs/ai), such as natural language processing, computer vision, and robotics.
+**Gradient descent** is an optimization search [algorithm](https://www.codecademy.com/resources/docs/general/algorithm) that is widely used in [machine learning](https://www.codecademy.com/resources/docs/ai/machine-learning) to train neural networks and other models. It is a fundamental optimization algorithm that is used in many fields of artificial intelligence (AI), such as natural language processing, computer vision, and robotics.
+
+## Variants of Gradient Descent
 
-## How Does Gradient Descent Work?
+- **Batch Gradient Descent**: Uses the entire dataset to compute the gradient in each iteration. Accurate but computationally expensive for large datasets.
+- **Stochastic Gradient Descent (SGD)**: Updates parameters using only one training example at a time. Faster but introduces noise in the updates, which can sometimes help escape local minima.
+- **Mini-Batch Gradient Descent**: Acts as a compromise between batch and stochastic methods. Uses small random subsets of the dataset, combining the stability of batch with the speed of SGD.
+- **Momentum**: Accelerates gradient descent by adding a fraction of the earlier update to the current update, helping to smooth out oscillations.
+- **AdaGrad**: Adapts the learning rate for every parameter individually, performing larger updates for infrequent parameters and smaller updates for frequent ones.
+- **RMSProp**: Modifies AdaGrad to include a moving average of squared gradients, preventing the learning rate from shrinking too much.
+- **Adam**: Combines Momentum and RMSProp to provide an adaptive learning rate with momentum, often leading to faster and more stable convergence.
+
+## How Gradient Descent Works
 
 Gradient descent works by minimizing the cost (or loss) function of a model. Cost functions measure the performance of machine learning models by quantifying the difference between the predicted and actual outputs. A low cost function indicates that a model is performing well on the training data because its predicted output values are close to the actual output values.
 
@@ -29,18 +40,37 @@ In each iteration of the algorithm, the following steps are performed:
 
 These steps are repeated iteratively until a stopping criterion is met, such as reaching a maximum number of iterations or achieving a desired level of convergence. The number of iterations and the convergence criterion are typically set by the data scientist/engineer implementing the gradient descent algorithm.
 
-## Gradient Descent and Machine Learning
+## Advantages of Gradient Descent
+
+- **Simplicity**: Easy to understand and implement.
+- **Versatility**: Applicable to a wide range of models and loss functions.
+- **Scalability**: Works with large datasets, especially with mini-batch versions.
+- **Foundation for Advanced Algorithms**: Forms the basis for most modern neural network optimization techniques.
+
+## Disadvantages of Gradient Descent
+
+- **Sensitive to Learning Rate**: Too high can overshoot the minimum, too low can make convergence extremely slow.
+- **Can Get Stuck in Local Minima**: Particularly for non-convex functions like deep neural networks.
+- **Computationally Intensive**: Full-batch methods require processing the entire dataset for each iteration.
+- **Requires Differentiable Functions**: Cannot be used for functions that are not continuous or differentiable.
+
+## Applications of Gradient Descent
+
+- **Training Neural Networks**: Used to optimize weights and biases to minimize the loss function.
+- **Linear and Logistic Regression**: Optimizes model parameters to fit the data.
+- **Recommendation Systems**: Helps optimize prediction models for user-item interactions.
+- **Natural Language Processing**: Used in training word embeddings and deep learning models.
+
+## Frequently Asked Questions
 
-Gradient descent is a fundamental optimization algorithm widely used in machine learning. An advantage of gradient descent is its ability to handle models with a large number of parameters, making it suitable for complex machine learning tasks. It is especially valuable when dealing with non-linear data, where patterns and relationships are not easily captured by simple linear models.
+### 1. Why is gradient descent called so?
 
-Gradient descent is a simple, efficient, and flexible algorithm that can be scaled to multiple different machine learning tasks and datasets with large amounts of data. By leveraging computed gradients, the algorithm guides iterative parameter adjustments, which leads to enhanced model performance over time.
+Gradient descent is called so because it involves moving down the slope of the gradient of a function to reach the minimum. The gradient points to the direction of the steepest ascent, so moving in the opposite direction helps find the lowest point of the function.
 
-Additionally, there are different variations of gradient descent which can be customized for specific tasks. For example, mini-batch gradient descent and stochastic gradient descent are specialized versions that offer efficiency advantages in different scenarios.
+### 2. Why do we use gradient descent instead of the derivative?
 
-## Gradient Descent Challenges
+While derivatives give the slope of a function, gradient descent uses that information iteratively to find the minimum of complex functions where solving the derivative analytically may be difficult or impossible. It is especially useful for high-dimensional problems like neural networks, where closed-form solutions are impractical.
 
-Although gradient descent is commonly used in machine learning, there are also some challenges, such as:
+### 3. Is Newton's method better than gradient descent?
 
-- Learning rate selection: The learning rate selected can significantly impact the algorithm’s performance, and choosing an appropriate learning rate is crucial. If the learning rate is too low, the algorithm will be slow, but if the learning rate is too high, the algorithm may overshoot the minimum.
-- Overfitting: The algorithm can overfit the training data, which leads to poor performance on new data. This is more likely to happen if the learning rate selected is too high or if the model is too complex.
-- Convergence to local minima: Converging to a local minimum can be problematic if the cost function has many local minima. In these cases, the algorithm should search for a global minimum.
+Newton's method can converge faster because it uses second-order derivative (Hessian) information, providing a more precise step toward the minimum. However, it is computationally expensive for high-dimensional problems and requires the Hessian to be invertible. Gradient descent is simpler, more memory-efficient, and scales better to large datasets, which is why it is more commonly used in machine learning.

From aac188dad31240bc8d315411b4133c5183f3b81f Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Sat, 27 Sep 2025 14:05:23 +0530
Subject: [PATCH 172/332] [Edit] AI: Simulated Annealing (#7644)

* [Edit] AI: Simulated Annealing

* updated faqs

---------
---
 .../simulated-annealing.md                    | 67 +++++++++++++++----
 1 file changed, 55 insertions(+), 12 deletions(-)

diff --git a/content/ai/concepts/search-algorithms/terms/simulated-annealing/simulated-annealing.md b/content/ai/concepts/search-algorithms/terms/simulated-annealing/simulated-annealing.md
index 9dafb8a8c50..b3797c01293 100644
--- a/content/ai/concepts/search-algorithms/terms/simulated-annealing/simulated-annealing.md
+++ b/content/ai/concepts/search-algorithms/terms/simulated-annealing/simulated-annealing.md
@@ -1,29 +1,72 @@
 ---
 Title: 'Simulated Annealing'
-Description: 'An optimization algorithm used to solve problems where it is impossible or computationally expensive to find a global optimum. It evaluates many solutions each with a different score, and the goal of the algorithm is to find the best score.'
+Description: 'Simulated annealing is an optimization algorithm used to solve problems where it is impossible or computationally expensive to find a global optimum.'
 Subjects:
   - 'Data Science'
-  - 'Computer Science'
   - 'Data Visualization'
 Tags:
-  - 'Search Algorithms'
-  - 'Machine Learning'
   - 'AI'
+  - 'Algorithms'
+  - 'Machine Learning'
+  - 'Search Algorithms'
 CatalogContent:
   - 'paths/data-science'
   - 'paths/machine-learning-ai-engineering-foundations'
 ---
 
-**Simulated annealing** is an optimization algorithm used to solve problems where it is impossible or computationally expensive to find a global optimum. In these situations simulated annealing can often find an approximate global optimum that works well.
+In artificial intelligence (AI), **simulated annealing** is an optimization [algorithm](https://www.codecademy.com/resources/docs/general/algorithm) used to solve problems where it is impossible or computationally expensive to find a global optimum. In these situations, simulated annealing can often find an approximate global optimum that works well.
+
+As the algorithm runs, it employs a permissive evaluation process that will accept worse solutions in order to complete a comprehensive search of the solution space. And as the space is explored the algorithm slowly decreases the probability that worse solutions will be accepted. Each solution has a different score and the goal of the algorithm is to find the best score over the course of the search.
+
+## Variants of Simulated Annealing
+
+- **Classic/Standard Simulated Annealing**: The traditional method where the temperature is gradually reduced according to a predefined schedule, and solution acceptance is probabilistic based on the Boltzmann distribution.
+- **Fast Simulated Annealing**: Uses a faster cooling schedule to reduce computation time, potentially at the cost of slightly lower solution quality.
+- **Adaptive Simulated Annealing**: Adjusts the temperature and step sizes dynamically based on the search progress to improve convergence and exploration.
+- **Quantum Simulated Annealing**: Incorporates quantum mechanics concepts like tunneling to escape local minima more effectively.
+- **Parallel Simulated Annealing**: Runs multiple annealing processes simultaneously and exchanges information between them to enhance solution quality and speed.
+
+## How Simulated Annealing Works
+
+The algorithm can be broken down into these steps:
+
+1. **Initialization**: Begin with an initial solution and set a high temperature.
+2. **Neighbor Selection**: Generate a neighboring solution by making small random changes to the current solution.
+3. **Evaluation**: If the new solution is better, accept it. If the new solution is worse, accept it with a probability that decreases as the temperature decreases.
+4. **Cooling Schedule**: Gradually reduce the temperature according to a predefined cooling schedule (e.g., exponential or logarithmic decrease).
+5. **Termination**: The process continues until the system cools completely or a stopping condition (such as a time limit or convergence) is met.
+
+## Advantages of Simulated Annealing
+
+- **Global Optimization Potential**: Unlike greedy methods, SA can escape local optima, increasing the chances of finding near-global solutions.
+- **Simplicity**: The algorithm is conceptually straightforward and easy to implement.
+- **Flexibility**: Can be applied to different kinds of problems, including discrete, continuous, and combinatorial optimization.
+- **Stochastic Power**: Randomness allows exploration of diverse regions of the solution space.
+
+## Disadvantages of Simulated Annealing
+
+- **Computation Time**: The method can be slow, especially for large problem spaces with complex landscapes.
+- **Parameter Sensitivity**: Performance depends heavily on tuning parameters such as initial temperature, cooling rate, and stopping criteria.
+- **No Guaranteed Optimality**: Although SA reduces the likelihood of being trapped in local minima, it does not guarantee finding the global optimum.
+- **Repeated Runs**: Due to its stochastic nature, multiple runs may be needed to achieve consistent results.
+
+## Applications of Simulated Annealing
+
+- **Traveling Salesman Problem (TSP)**: Used to find near-optimal routes for visiting cities with minimal travel cost.
+- **Graph Partitioning and Coloring**: Helps divide graphs into balanced parts or assign colors while minimizing conflicts.
+- **Job Scheduling**: Optimizes the order of tasks to improve efficiency and reduce completion time.
+- **Feature Selection and Hyperparameter Tuning**: Applied in machine learning to identify the best subset of features or model parameters.
+
+## Frequently Asked Questions
+
+### 1. What are the advantages of simulated annealing in AI?
 
-As the algorithm runs it employs a permissive evaluation process that will accept worse solutions in order to complete a comprehensive search of the solution space. And as the space is explored the algorithm slowly decreases the probability that worse solutions will be accepted. Each solution has a different score and the goal of the algorithm is to find the best score over the course of the search.
+Simulated annealing can escape local optima, making it more likely to find near-global solutions. It is simple to implement, flexible across different problem types (discrete, continuous, combinatorial), and its stochastic nature allows wide exploration of the solution space.
 
-## The Implementation
+### 2. What is the annealing algorithm in AI?
 
-- Simulated annealing begins by creating a trial point randomly, then the algorithm selects the distance between the current point and the trial point through a probability distribution.
-- The algorithm then determines if the new point is better than the older point, or not. If the new point is better, it is set as the next point, but if the new point is worse, it can still be accepted depending on the evaluation function.
-- The annealing parameters are set, raising and reducing the temperatures (the scale of such distribution from point to point) for lowering values. The simulated annealing concludes when it reaches the lowest minima or hits a given stopping criteria.
+The annealing algorithm in AI is an optimization method inspired by the physical process of annealing in metallurgy. It starts with a high "temperature" that allows exploration of many possible solutions, even worse ones, and gradually lowers the temperature to reduce randomness. This helps the algorithm settle into a near-optimal solution.
 
-## Background
+### 3. What is an example of annealing?
 
-Simulated annealing is a probabilistic algorithm which tests points across a solution space to find the lowest minima. The algorithm is termed "simulated annealing" because it mirrors physical annealing, a process in which a material is repeatedly heated and cooled to elicit desired structural properties.
+A classic example is the **Traveling Salesman Problem (TSP)**. Simulated annealing can be used to find a near-optimal route for visiting all cities with minimal travel distance. By occasionally accepting longer routes early in the search, it avoids getting trapped in poor local routes and can discover better overall paths.

From 8997adfe5b2e563a5f997ab34dfc586105c6d2c7 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Sat, 27 Sep 2025 15:31:06 +0530
Subject: [PATCH 173/332] [Edit] AI: Search Algorithms (#7643)

* [Edit] AI: Search Algorithms

* Update search-algorithms.md

---------
---
 .../search-algorithms/search-algorithms.md    | 85 ++++++++++++++-----
 1 file changed, 63 insertions(+), 22 deletions(-)

diff --git a/content/ai/concepts/search-algorithms/search-algorithms.md b/content/ai/concepts/search-algorithms/search-algorithms.md
index 1402d36d97c..9bc077fc69c 100644
--- a/content/ai/concepts/search-algorithms/search-algorithms.md
+++ b/content/ai/concepts/search-algorithms/search-algorithms.md
@@ -1,31 +1,33 @@
 ---
 Title: 'Search Algorithms'
-Description: 'Search algorithms are a class of algorithms used to find an optimal solution to a problem by exploring a search space.'
+Description: 'Search algorithms are a class of algorithms used to explore a search space to find a solution, often with the goal of finding an optimal one.'
 Subjects:
-  - 'Machine Learning'
   - 'Computer Science'
+  - 'Machine Learning'
 Tags:
   - 'AI'
   - 'Algorithms'
-  - 'Graphs'
   - 'Graph Search'
+  - 'Graphs'
 CatalogContent:
-  - 'paths/data-science'
+  - 'prompt-engineering-for-software-engineers'
+  - 'paths/machine-learning-ai-engineering-foundations'
 ---
 
-A **search algorithm** is a type of algorithm used in artificial intelligence to find the best or most optimal solution to a problem by exploring a set of possible solutions, also called a search space. A search algorithm filters through a large number of possibilities to find a solution that works best for a given set of constraints.
+A **search algorithm** is a type of [algorithm](https://www.codecademy.com/resources/docs/general/algorithm) used in artificial intelligence (AI) to find the best or most optimal solution to a problem by exploring a set of possible solutions, also called a search space. A search algorithm filters through a large number of possibilities to find a solution that works best for a given set of constraints.
 
-Search algorithms typically operate by organizing the search space into a particular type of graph, commonly a tree, and evaluate the best score, or cost, of traversing each branch of the tree. A solution is a path from the start state to the goal state that optimizes the cost given the parameters of the implemented algorithm.
+Search algorithms typically operate by organizing the search space into a particular type of [graph](https://www.codecademy.com/resources/docs/general/graphs), commonly a tree, and evaluate the best score, or cost, of traversing each branch of the tree. A solution is a path from the start state to the goal state that optimizes the cost given the parameters of the implemented algorithm.
 
-Search algorithms are typically organized into two categories:
+## Types of Search Algorithms
 
-- Uninformed Search: Algorithms that are general purpose traversals of the state space or search tree without any information about how good a state is. These are also referred to as blind search algorithms.
+Search algorithms are typically organized into two categories:
 
-- Informed Search: Algorithms that have information about the goal during the traversal, allowing the search to prioritize its expansion toward the goal state instead of exploring directions that may yield a favorable cost but don't lead to the goal, or global optimum. By including extra rules that aid in estimating the location of the goal (known as heuristics) informed search algorithms can be more computationally efficient when searching for a path to the goal state.
+- **Uninformed/Blind Search**: Algorithms that are general purpose traversals of the state space or search tree without any information about how good a state is.
+- **Informed/Heuristic Search**: Algorithms that have information about the goal during the traversal, allowing the search to prioritize its expansion toward the goal state instead of exploring directions that may yield a favorable cost but don't lead to the goal, or global optimum.
 
-## Types of Search Algorithms
+## Uninformed/Blind Search Algorithms
 
-There are many types of search algorithms used in artificial intelligence, each with their own strengths and weaknesses. Some of the most common types of search algorithms include:
+Let's go through the different types of uninformed/blind search algorithms one-by-one.
 
 ### Depth-First Search (DFS)
 
@@ -39,24 +41,63 @@ This algorithm explores all the neighbor nodes at the current level before movin
 
 This algorithm expands the lowest cumulative cost from the start, continuing to explore all possible paths in order of increasing cost. UCS is guaranteed to find the optimal path between the start and goal nodes, as long as the cost of each edge is non-negative. However, it can be computationally expensive when exploring a large search space, as it explores all possible paths in order of increasing cost.
 
-### Heuristic Search
+### Depth-Limited and Iterative Deepening Search
+
+These are variations of DFS that limit exploration depth. Depth-limited search restricts how deep the search can go, while iterative deepening search repeatedly increases the depth limit. This balances completeness and efficiency while avoiding infinite loops.
+
+## Informed/Heuristic Search Algorithms
+
+Let's go through the different types of informed/heuristic search algorithms one-by-one.
+
+### Greedy Best-First Search
+
+This algorithm selects nodes based on the estimated cost to reach the goal. While it can be efficient, it does not guarantee finding the optimal path since it ignores the cost already incurred.
+
+### A\* Search
+
+A\* combines the actual path cost from the starting node with a heuristic estimate of the cost to reach the goal. When using an admissible heuristic (one that never overestimates), A\* is both complete and optimal, making it one of the most widely used informed search algorithms.
+
+### Hill Climbing
+
+This algorithm iteratively moves in the direction that seems best according to the heuristic function. While simple and memory-efficient, it can get stuck in local optima, plateaus, or ridges, preventing it from finding the global optimum.
+
+### Iterative Deepening A\* (IDA\*)
+
+This is a memory-efficient variant of A\* that uses depth-first exploration combined with heuristic guidance. It gradually increases the cost threshold, ensuring a balance between memory usage and optimality.
+
+## Comparison of Search Algorithms
+
+| Algorithm                       | Type       | Complete | Optimal | Time Complexity              | Space Complexity   | Notes                                                                |
+| ------------------------------- | ---------- | -------- | ------- | ---------------------------- | ------------------ | -------------------------------------------------------------------- |
+| Depth-First Search (DFS)        | Uninformed | No       | No      | O(b^m)                       | O(bm)              | Explores deep paths first; may get stuck in infinite branches.       |
+| Breadth-First Search (BFS)      | Uninformed | Yes      | Yes\*   | O(b^d)                       | O(b^d)             | Finds shortest path in unweighted graphs; memory-intensive.          |
+| Uniform Cost Search (UCS)       | Uninformed | Yes      | Yes     | O(b^(1 + ⌈C\*/ε⌉))           | O(b^(1 + ⌈C\*/ε⌉)) | Expands least-cost nodes; suitable for weighted graphs.              |
+| Depth-Limited Search            | Uninformed | No       | No      | O(b^l)                       | O(bl)              | DFS with depth limit `l`; avoids infinite descent.                   |
+| Iterative Deepening Search      | Uninformed | Yes      | Yes\*   | O(b^d)                       | O(bd)              | Combines BFS optimality and DFS space efficiency.                    |
+| Greedy Best-First Search        | Informed   | Yes      | No      | O(b^m)                       | O(b^m)             | Uses heuristic only; fast but not guaranteed optimal.                |
+| A\* Search                      | Informed   | Yes      | Yes     | O(b^d) (with good heuristic) | O(b^d)             | Balances path cost + heuristic; optimal with admissible heuristic.   |
+| Hill Climbing                   | Informed   | No       | No      | Varies                       | Varies             | Moves toward best heuristic neighbor; can get stuck in local optima. |
+| Iterative Deepening A\* (IDA\*) | Informed   | Yes      | Yes     | O(b^d)                       | O(bd)              | Memory-efficient A\* variant using iterative deepening.              |
 
-This algorithm uses a heuristic function to guide the search towards the optimal solution. A\* search, one of the most popular heuristic search algorithms, uses both the actual cost of getting to a node and an estimate of the cost to reach the goal from that node.
+> **Note:** The asterisk (\*) indicates that the corresponding search algorithm is optimal only if all step costs are equal (i.e., in unweighted graphs).
 
-## Application of Search Algorithms
+## Applications of Search Algorithms
 
-Search algorithms are used in various fields of artificial intelligence, including:
+- **Pathfinding**: Finds the shortest path in graphs or networks; BFS and A\* are commonly used.
+- **Optimization**: Seeks minimum/maximum values under constraints; algorithms like hill climbing or simulated annealing are applied.
+- **Game Playing**: Evaluates possible moves via search trees to choose the best strategy.
+- **Planning and Scheduling**: Used in logistics, project management, and resource allocation to create efficient plans.
 
-### Pathfinding
+## Frequently Asked Questions
 
-Pathfinding problems involve finding the shortest path between two points in a given graph or network. BFS or A\* search can be used to explore a graph and find the optimal path.
+### 1. What is the most used search algorithm?
 
-### Optimization
+A\* is the most widely used search algorithm because it balances efficiency and accuracy. It uses both the path cost and a heuristic estimate, ensuring optimal solutions when the heuristic is admissible.
 
-In optimization problems, the goal is to find the minimum or maximum value of a function, subject to some constraints. Search algorithms such as hill climbing or simulated annealing are often used in optimization cases.
+### 2. Why are searching algorithms used?
 
-### Game Playing
+Search algorithms are used to explore problem spaces, find solutions, and make decisions. They help in tasks like pathfinding, optimization, planning, and game playing, enabling AI systems to operate intelligently.
 
-In game playing, search algorithms are used to evaluate all possible moves and choose the one that is most likely to lead to a win, or the best possible outcome. This is done by constructing a search tree where each node represents a game state and the edges represent the moves that can be taken to reach the associated new game state.
+### 3. Which search algorithm is faster?
 
-The following algorithms have dedicated, more in-depth content:
+The speed of a search algorithm depends on the problem and the available information. Greedy Best-First Search can be faster since it uses heuristics to guide the search, but it is not always optimal. A\*, while slightly slower, guarantees optimality with the right heuristic.

From 2ff29e065bc24ce0c3c01dd6d56462daf7773f38 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Sat, 27 Sep 2025 15:35:28 +0530
Subject: [PATCH 174/332] [Edit] HTML: <tfoot> (#7642)

* [Edit] HTML: <tfoot>

* Update tfoot.md

---------
---
 .../html/concepts/tables/terms/tfoot/tfoot.md | 135 +++++++++++++++---
 media/html-tfoot-1.jpg                        | Bin 0 -> 29002 bytes
 media/html-tfoot-2.jpg                        | Bin 0 -> 32145 bytes
 media/html-tfoot-3.jpg                        | Bin 0 -> 23677 bytes
 4 files changed, 114 insertions(+), 21 deletions(-)
 create mode 100644 media/html-tfoot-1.jpg
 create mode 100644 media/html-tfoot-2.jpg
 create mode 100644 media/html-tfoot-3.jpg

diff --git a/content/html/concepts/tables/terms/tfoot/tfoot.md b/content/html/concepts/tables/terms/tfoot/tfoot.md
index fe0c27f7b47..56a91d8e238 100644
--- a/content/html/concepts/tables/terms/tfoot/tfoot.md
+++ b/content/html/concepts/tables/terms/tfoot/tfoot.md
@@ -1,37 +1,45 @@
 ---
 Title: 'tfoot'
-Description: 'Groups the footer content in a table. '
+Description: 'Defines a footer section for a table.'
 Subjects:
-  - 'Web Development'
   - 'Web Design'
+  - 'Web Development'
 Tags:
-  - 'Tables'
+  - 'Data'
   - 'Elements'
-  - 'Web Development'
+  - 'Tables'
+  - 'Tags'
 CatalogContent:
   - 'learn-html'
   - 'paths/front-end-engineer-career-path'
-  - 'paths/full-stack-engineer-career-path'
 ---
 
-Groups the footer content in a table.
+The HTML **`<tfoot>`** [element](https://www.codecademy.com/resources/docs/html/elements) is used to define a footer section for a table. It typically contains summary information, totals, or notes related to the data presented in the table body.
 
-## Syntax
+## HTML `<tfoot>` Syntax
 
-```html
-<tfoot>
-  <!-- Takes in footer content -->
-</tfoot>
+```pseudo
+<table>
+  <thead>
+    <!-- Header rows -->
+  </thead>
+  <tbody>
+    <!-- Main data rows -->
+  </tbody>
+  <tfoot>
+    <!-- Footer rows -->
+  </tfoot>
+</table>
 ```
 
-**Note:** The `<tfoot>` element is usually used along with `<tbody>` and `<thead>`. which provides useful semantic information.
+> **Note:** The HTML `<tfoot>` element is usually used along with [`<tbody>`](https://www.codecademy.com/resources/docs/html/tables/tbody) and [`<thead>`](https://www.codecademy.com/resources/docs/html/tables/thead), which provides useful semantic information.
 
-## Example 1
+## Example 1: Simple Footer Using HTML `<tfoot>`
 
-Grouping the footer content in an HTML table.
+This example uses HTML `<tfoot>` to define a simple footer for a table:
 
 ```html
-<table>
+<table border="1">
   <thead>
     <tr>
       <th>Items</th>
@@ -48,7 +56,6 @@ Grouping the footer content in an HTML table.
       <td>10,000</td>
     </tr>
   </tbody>
-  <!-- All footer content will be inside the <tfoot> element -->
   <tfoot>
     <tr>
       <td>Total</td>
@@ -58,8 +65,94 @@ Grouping the footer content in an HTML table.
 </table>
 ```
 
-| Items                         | Cost    |
-| ----------------------------- | ------- |
-| Model 3                       | $50,000 |
-| 1 giant rubber debugging duck | $10,000 |
-| Total                         | $60,000 |
+Here is the output:
+
+![Simple footer for a table, created using HTML <tfoot>](https://raw.githubusercontent.com/Codecademy/docs/main/media/html-tfoot-1.jpg)
+
+## Example 2: Adding Notes in Footer
+
+This example uses HTML `<tfoot>` to create a footer for a table that contains a note about the table's data:
+
+```html
+<table border="1">
+  <thead>
+    <tr>
+      <th>Month</th>
+      <th>Sales</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td>January</td>
+      <td>$500</td>
+    </tr>
+    <tr>
+      <td>February</td>
+      <td>$450</td>
+    </tr>
+  </tbody>
+  <tfoot>
+    <tr>
+      <td colspan="2">* Data is provisional and may change.</td>
+    </tr>
+  </tfoot>
+</table>
+```
+
+Here is the output:
+
+![Footer for a table containing a note about the table's data, created using HTML <tfoot>](https://raw.githubusercontent.com/Codecademy/docs/main/media/html-tfoot-2.jpg)
+
+## Example 3: Complex Table with Multiple Columns
+
+This example uses HTML `<tfoot>` to create a footer for a table that summarizes the marks in it with a total score:
+
+```html
+<table border="1">
+  <thead>
+    <tr>
+      <th>Subject</th>
+      <th>Marks</th>
+      <th>Grade</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td>Math</td>
+      <td>90</td>
+      <td>A</td>
+    </tr>
+    <tr>
+      <td>Science</td>
+      <td>85</td>
+      <td>B</td>
+    </tr>
+  </tbody>
+  <tfoot>
+    <tr>
+      <td>Total</td>
+      <td>175</td>
+      <td>-</td>
+    </tr>
+  </tfoot>
+</table>
+```
+
+Here is the output:
+
+![Footer for a table summarizing the marks in it with a total score, created using HTML <tfoot>](https://raw.githubusercontent.com/Codecademy/docs/main/media/html-tfoot-3.jpg)
+
+## Frequently Asked Questions
+
+### 1. What is `<tfoot>` in HTML?
+
+The HTML `<tfoot>` element defines a footer section for a table. It is mainly used to display summary information, totals, or notes that apply to the table data.
+
+### 2. What are the `<thead>` and `<tfoot>` tags used for in HTML?
+
+- `<thead>`: Defines the header section of a table, usually containing column titles.
+- `<tfoot>`: Defines the footer section, often used for summaries or totals.
+
+### 3. Is `<tfoot>` required in every HTML table?
+
+No, it's optional to use `<tfoot>` in an HTML table. You only need it if you want to display footer information such as totals or notes.
diff --git a/media/html-tfoot-1.jpg b/media/html-tfoot-1.jpg
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From c4b7c3a6f41293a9f8488ed46025840e0473754d Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Mon, 29 Sep 2025 11:21:42 +0530
Subject: [PATCH 175/332] [Edit] Java: Methods (#7624)

* [Edit] Java: Methods

* minor fixes

---------
---
 content/java/concepts/methods/methods.md | 183 ++++++++++++++---------
 1 file changed, 116 insertions(+), 67 deletions(-)

diff --git a/content/java/concepts/methods/methods.md b/content/java/concepts/methods/methods.md
index 56739d17f8e..36434fffa48 100644
--- a/content/java/concepts/methods/methods.md
+++ b/content/java/concepts/methods/methods.md
@@ -1,58 +1,66 @@
 ---
 Title: 'Methods'
-Description: 'Methods are reusable pieces of code in classes. The difference between a method and a function is that methods are always related to a class or an object.'
+Description: 'Methods in Java are reusable pieces of code that perform a specific task.'
 Subjects:
   - 'Computer Science'
+  - 'Web Development'
 Tags:
+  - 'Arguments'
+  - 'Java'
   - 'Methods'
   - 'Parameters'
-  - 'Arguments'
 CatalogContent:
   - 'learn-java'
   - 'paths/computer-science'
 ---
 
-Methods are reusable pieces of code in classes. The difference between a method and a function is that methods are always related to a class or an object. Since in Java there is no possibility of defining logic outside of a class, there are no real functions given this definition. In that case, static methods can be used to have reusable logic without an object instance.
+**Methods** in Java are reusable blocks of code that perform a specific task. They help in breaking down large programs into smaller, reusable sections, making code easier to read, maintain, and debug. A method executes only when it is called.
 
-Methods consist of at least the following elements:
+There are two primary types of methods in Java:
 
-- Return type: The type of the value that is returned from the method
-- Name: The name of the method
+- **User-Defined Methods**: Created by the programmer to perform custom tasks.
+- **Standard Library Methods**: Predefined methods provided by Java’s API (Application Programming Interface).
 
-Additionally, they optionally include:
+## Declaring a Java Method
 
-- Parameters: Methods can have no, one, or multiple parameters which consist of a [data type](https://www.codecademy.com/resources/docs/java/data-types/) and a name. Parameters make it possible to provide values to the method which can be used inside the body of a method.
-- Modifier: Modifiers define in which way and from which context a method is callable.
-- Exceptions: Exceptions can be thrown by method to make the caller react to unexpected situations (i.e. a non-existing file).
-- Body: The body of a method contains all statements the method should execute when being called. The body is only optional in interfaces and abstract classes.
+The general syntax for declaring a method in Java is:
 
-## A Minimal Signature
+```pseudo
+modifier returnType methodName(parameters) {
+  // Method body
+  // Statements
+  return value; // If returnType is not void
+}
+```
 
-Creating a method called `.getOneNumber()`:
+The syntax includes:
 
-```java
-int getOneNumber() {
-  return 1;
-};
-```
+- **Return Type**: The type of the value that is returned from the method.
+- **Name**: The name of the method.
+- **Parameters** (Optional): Methods can have no, one, or multiple parameters which consist of a [data type](https://www.codecademy.com/resources/docs/java/data-types) and a name.
+- **Modifier** (Optional): Modifiers define in which way and from which context a method is callable.
+- **Exceptions** (Optional): Exceptions can be thrown by a method to make the caller react to unexpected situations (i.e. a non-existing [file](https://www.codecademy.com/resources/docs/java/files)).
+- **Body** (Optional): The body of a method contains all statements the method should execute when being called.
 
-- Return type: `int`
-- Name: `getOneNumber`
-- Modifier: `package private` (the default)
+After declaring the method, it can be called using this syntax:
 
-## Return Type
+```pseudo
+methodName();
+```
+
+### Return Type
 
-Methods can return any type listed under [data types](https://www.codecademy.com/resources/docs/java/data-types/). Additionally, they can return instances of any class. If a method shouldn't return a value, it has to be defined with the return type `void`.
+Methods can return any type of data, such as `int`, `double`, `String`, etc. Additionally, they can return instances of any [class](https://www.codecademy.com/resources/docs/java/classes). If a method shouldn't return a value, it has to be defined with the return type `void`.
 
-## Name
+### Name
 
 The name of a method should describe as much as possible what the method is doing. Ideally, the programmer calling the method knows what the method does without needing to look at the body. By following the rule that a method should only do one thing, it's also easier to give it a concise name.
 
 A valid name must follow the rules:
 
 - It has to start with a letter or an underscore (`_`) and can contain digits.
-- It could also start with a `$` but the specification of the language says that this shouldn't be done
-- It can't have a name of keyword (i.e. `return` or `while`) however keywords can be within the name
+- It could also start with a `$` but the specification of the language says that this shouldn't be done.
+- It can't be a reserved keyword (i.e. `return` or `while`), but keywords can appear inside the name (e.g., `returnValue`).
 
 Examples for valid method names:
 
@@ -64,24 +72,24 @@ Examples for valid method names:
 
 Examples for invalid method names:
 
-- `123number` (method names mustn't start with a number)
-- `get-object` (hyphens are not allowed inside a method name)
-- `sum_number1&number2` (ampersands are not allowed inside a method name)
-- `assert` (method names mustn't have the name of a keyword)
+- `123number` (Method names mustn't start with a number)
+- `get-object` (Hyphens are not allowed inside a method name)
+- `sum_number1&number2` (Ampersands are not allowed inside a method name)
+- `assert` (Method names mustn't have the name of a keyword)
 
 By convention, method names start with a verb, and each word after the first word starts with a capitalized letter.
 
-## Parameters
+### Parameters
 
 A parameter is described by a data type and a name. With that name, the parameter can be used to access the value inside the method body. A method without any parameters must have empty parenthesis `()` after the method name. Multiple parameters have to be separated by a comma `,`.
 
-Parameters are the definitions inside the parenthesis of a method while _arguments_ are the values provided, when the method is called. The values of the arguments are made available via the parameter names inside the method body.
+Parameters are the definitions inside the parenthesis of a method while _arguments_ are the values provided when the method is called. The values of the arguments are made available via the parameter names inside the method body.
 
 By convention, a method should have a maximum of three parameters. If it's necessary to have more than three it makes sense to create an object which is passed and contains the data.
 
-## Modifier
+### Modifier
 
-Modifiers can change how a method is allowed to be called (public, protected, private, package private), if the method is working on object state or should be executable without creating an object out of a class (static), or if the method is allowed to be replaced by inherited classes (final).
+Modifiers can change how a method is allowed to be called (`public`, `protected`, `private`, `package private`), if the method is working on object state or should be executable without creating an object out of a class (`static`), or if the method is allowed to be replaced by inherited classes (`final`):
 
 ```java
 public int sum(int number1, int number2) {
@@ -95,40 +103,11 @@ public int sum(int number1, int number2) {
 - Parameters: `int number1, int number2`
 - Body: `return number1 + number2;`
 
-### Visibility Modifiers
-
-- `public`: Methods declared as public can be called from everywhere, inside and outside of the object or the class.
-- `private`: Methods declared as private can only be called from inside the object or the class.
-- `package private`: Methods declared as package private can only be called from classes within the same package.
-- `protected`: Methods declared as protected can only be called from inside the class or from inside classes inherited from that class.
-
-### Additional Modifiers
+### Exceptions
 
-### `static`
+Methods can throw exceptions. An example of this is trying to access a file that doesn't exist. When calling a method, which throws an exception, the calling method has to take care of that exception or has to throw an exception as well.
 
-Static methods can be called in classes without creating an object instance out of that class. That's why the object state in those methods can't be accessed with `this`. The `static` modifier can be combined with visibility modifiers.
-
-```java
-public static void main(String[] args) {
-  System.out.println("Hello world");
-}
-```
-
-- Modifiers: `public static`
-- Return type: `void`
-- Name: `main`
-- Parameters: `String[] args`
-- Body: `System.out.println("Hello world");`
-
-### `final`
-
-The `final` keyword prevents methods from being overwritten in inherited classes. It can be combined with other modifiers.
-
-## Exceptions
-
-Methods can throw Exceptions. An example of this is trying to access a file that doesn't exist. When calling a method, which throws an exception, the calling method has to take care of that exception or has to throw an Exception as well.
-
-Here is an example of how Java throws an exception in a method that could execute a division by 0 and therefore the method has to throw an exception.
+Here is an example of how Java throws an exception in a method that could execute a division by 0 and therefore the method has to throw an exception:
 
 ```java
 public float divide(float dividend, float divisor) throws ArithmeticException {
@@ -143,10 +122,80 @@ public float divide(float dividend, float divisor) throws ArithmeticException {
 - Thrown exception: `throws ArithmeticException`
 - Body: `return dividend / divisor`
 
-## Body
+### Body
 
 Everything between `{` and `}` is called the body of the method. The body contains the actual code, statements, or logic that is executed when the method is called.
 
 If the method has a return type there needs to be at least one line in the body which returns a value of that type (i.e. `return a+b;`).
 
 Methods also have access to values of the instance of a class when using the word `this`. With `this` other methods of that same class can be called or instance fields of the class can be accessed which hold values that are accessible through all methods of the class.
+
+## Example 1: User-Defined Methods in Java
+
+Here is an example of a user-defined method in Java:
+
+```java
+public class UserDefinedExample {
+  // User-defined method
+  public static int addNumbers(int a, int b) {
+    return a + b;
+  }
+
+  public static void main(String[] args) {
+    int result = addNumbers(10, 20); // Method call
+    System.out.println("The sum is: " + result);
+  }
+}
+```
+
+The output will be:
+
+```shell
+The sum is: 30
+```
+
+## Example 2: Standard Library Methods in Java
+
+This example demonstrates the usage of a standard library method in Java:
+
+```java
+public class LibraryMethodExample {
+  public static void main(String[] args) {
+    String text = "hello world";
+
+    // Standard library method
+    String upper = text.toUpperCase();  // Converts to uppercase
+
+    System.out.println("Uppercase: " + upper);
+  }
+}
+```
+
+The output will be:
+
+```shell
+Uppercase: HELLO WORLD
+```
+
+## Frequently Asked Questions
+
+### 1. What are methods in Java?
+
+Methods in Java are reusable blocks of code that perform a specific task. They improve reusability and modularity in programs.
+
+### 2. What's the `main()` method in Java?
+
+The `main()` method in Java acts as the entry point of every program. Its syntax is:
+
+```java
+public static void main(String[] args)
+```
+
+Without the `main()` method, a Java application cannot run (except in special cases like Java applets or newer frameworks).
+
+### 3. How many types of methods are there in Java?
+
+Broadly, Java has two main types of methods:
+
+- User-defined methods (Created by the programmer)
+- Standard library methods (Predefined by Java)

From 293a8693da91d91ef628ef0158748f3a4bcc79ad Mon Sep 17 00:00:00 2001
From: Valeriy Anysenko <168164564+vlrnsnk@users.noreply.github.com>
Date: Mon, 29 Sep 2025 12:31:27 -0400
Subject: [PATCH 176/332] Update arrays.md (#7612)

* Update arrays.md

improve readability

* Update arrays.md

---------
---
 content/typescript/concepts/arrays/arrays.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/content/typescript/concepts/arrays/arrays.md b/content/typescript/concepts/arrays/arrays.md
index c7e3a3ae235..9b5769d0b89 100644
--- a/content/typescript/concepts/arrays/arrays.md
+++ b/content/typescript/concepts/arrays/arrays.md
@@ -11,7 +11,7 @@ CatalogContent:
   - 'paths/full-stack-engineer-career-path'
 ---
 
-In TypeScript, arrays are considered to be collections of single, "generic" types of values. All elements must be of the same type of data as prescribed in the array definition.
+In TypeScript, arrays are considered to be collections of values that share a single, generic type. All elements must conform to the types specified in the array definition (e.g., `string[]`), or a union type if multiple element types are allowed (e.g., `(string | number)[]`).
 
 ## Defining an array
 
@@ -43,7 +43,7 @@ More than one type can be prescribed in the array definition with the "or" `|` o
 const numbers: (string | number)[] = [1, '2', 3, 'four'];
 
 // Alternative syntax
-// const numbers: [string, number] = [1, "2", 3, "four"];
+// const numbers: Array<string | number> = [1, '2', 3, 'four'];
 ```
 
 As long as each element in `numbers` is of type `string` or `number`, it is valid.

From 7ff37ff1e3df30c5853abe30fe40d0dd83a48893 Mon Sep 17 00:00:00 2001
From: Valeriy Anysenko <168164564+vlrnsnk@users.noreply.github.com>
Date: Mon, 29 Sep 2025 12:42:27 -0400
Subject: [PATCH 177/332] Update unions.md (#7576)

* Update unions.md

fix typos

* minor fix

* Update content/typescript/concepts/unions/unions.md

* Update content/typescript/concepts/unions/unions.md

---------
---
 content/typescript/concepts/unions/unions.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/content/typescript/concepts/unions/unions.md b/content/typescript/concepts/unions/unions.md
index bc847762bdf..ca547d0a086 100644
--- a/content/typescript/concepts/unions/unions.md
+++ b/content/typescript/concepts/unions/unions.md
@@ -1,6 +1,6 @@
 ---
 Title: 'Unions'
-Description: 'Some values may be one of the multiple possible types. TypeScript refers to these "either or" types as type unions.'
+Description: 'Some values can have more than one possible type. TypeScript represents these either-or types using a union.'
 Subjects:
   - 'Web Development'
 Tags:
@@ -37,13 +37,13 @@ logEither(false);
 // Error: Type 'boolean' is not assignable to type 'number | string'.
 ```
 
-Optional values, including optional parameters and members, are implicitly type `| undefined`.
+Optional parameters and properties are given a union type with undefined (e.g., `string | undefined`).
 
 ## Union type Members
 
 When a value is a union type, TypeScript will only allow access to members that exist on all possible types.
 
-In this example, we use a pair of ternary operators to create a `value`. This set the type of `value` to `boolean | string | string[]` and the only shared member is the `toString()` function. No others, such as `length`, are allowed since it can't be applied to a `boolean`-type value:
+In this example, we use a pair of ternary operators to create a `value`. This sets the type of `value` to `boolean | string | string[]` and the shared member is the `toString()` function. No others, such as `length`, are allowed since it can't be applied to a `boolean`-type value:
 
 ```ts
 // Type: boolean | string | string[]

From 0be2ff7accec09710c1a1cc2254475ee394c7967 Mon Sep 17 00:00:00 2001
From: Valeriy Anysenko <168164564+vlrnsnk@users.noreply.github.com>
Date: Mon, 29 Sep 2025 12:44:58 -0400
Subject: [PATCH 178/332] Update tuples.md (#7574)

* Update tuples.md

fix typos and code examples

* Update tuples.md

* Format Errors

---------
---
 content/typescript/concepts/tuples/tuples.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/content/typescript/concepts/tuples/tuples.md b/content/typescript/concepts/tuples/tuples.md
index 7caa97974fe..ee2b0e31247 100644
--- a/content/typescript/concepts/tuples/tuples.md
+++ b/content/typescript/concepts/tuples/tuples.md
@@ -1,6 +1,6 @@
 ---
 Title: 'Tuples'
-Description: 'In TypeScript, tuple types are defined as array-like containers with a fixed sized and the types of each member element already set.'
+Description: 'In TypeScript, tuple types are defined as array-like containers with a fixed size and the types of each member element already set.'
 Subjects:
   - 'Web Development'
 Tags:
@@ -24,14 +24,14 @@ They have two distinct features:
 Tuples can have a mix of different data types and look like an array consisting of types as values inside:
 
 ```ts
-type myTuple: [string, number, boolean] = ["1", 2, true];
+let myTuple: [string, number, boolean] = ['1', 2, true];
 ```
 
 They consist of a left square bracket `[`, comma-separated list of types, and a right square bracket `]`. The literal values, "1", 2, and `true`, must map to each element's types, `string`, `number`, and `boolean`, in the correct order.
 
 ## Destructuring a Tuple
 
-Like arrays and objects, tuples can be deconstructed into new variables that represents each element and their type. For example, here is a variable, `popStar`, with a given tuple type. One the other line, the `popStar` is destructured into four separate variables through its tuple type:
+Like arrays and objects, tuples can be destructured into new variables that represent each element and their type. For example, here is a variable, `popStar`, with a given tuple type. On the other line, the `popStar` is destructured into four separate variables based on the tuple’s structure:
 
 ```ts
 const popStar: [string, number, string, boolean] = [

From 122b75f5824cfafd5c558eb9614725f3dafb3b1a Mon Sep 17 00:00:00 2001
From: Valeriy Anysenko <168164564+vlrnsnk@users.noreply.github.com>
Date: Mon, 29 Sep 2025 12:49:12 -0400
Subject: [PATCH 179/332] Update data-types.md (#7571)

* Update data-types.md

fix typo

* Format Errors:

---------
---
 .../java/concepts/data-types/data-types.md    | 20 +++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/content/java/concepts/data-types/data-types.md b/content/java/concepts/data-types/data-types.md
index 0a67346e400..7a7c8cbd3c5 100644
--- a/content/java/concepts/data-types/data-types.md
+++ b/content/java/concepts/data-types/data-types.md
@@ -21,16 +21,16 @@ Java’s most basic data types are known as primitive data types and are in the
 
 The primitive data types in Java are listed in the table below:
 
-| Data Type | Size (bits)           | Default Value(for fields) | Description                                                               |
-| --------- | --------------------- | ------------------------- | ------------------------------------------------------------------------- |
-| `byte`    | 8                     | `0`                       | Represents whole numbers ranging from -128 to 127.                        |
-| `short`   | 16                    | `0`                       | Stores smaller whole numbers, from -32,768 to 32,767.                     |
-| `int`     | 32                    | `0`                       | Represents whole numbers from -2,147,483,648 to 2,147,483,647.            |
-| `long`    | 64                    | `0L`                      | Represents very large whole numbers, ranging from -2^63 to 2^63-1.        |
-| `float`   | 32                    | `0.0f`                    | Stores floating-point numbers with up to 7 decimal digits of precision.   |
-| `double`  | 64                    | `0.0d`                    | Stores floating-pointl numbers with up to 15 decimal digits of precision. |
-| `boolean` | Not precisely defined | `false`                   | Holds only two possible values: `true` and `false`.                       |
-| `char`    | 16                    | `'\u0000'`                | Stores a single character, including letters and ASCII values.            |
+| Data Type | Size (bits)           | Default Value(for fields) | Description                                                              |
+| --------- | --------------------- | ------------------------- | ------------------------------------------------------------------------ |
+| `byte`    | 8                     | `0`                       | Represents whole numbers ranging from -128 to 127.                       |
+| `short`   | 16                    | `0`                       | Stores smaller whole numbers, from -32,768 to 32,767.                    |
+| `int`     | 32                    | `0`                       | Represents whole numbers from -2,147,483,648 to 2,147,483,647.           |
+| `long`    | 64                    | `0L`                      | Represents very large whole numbers, ranging from -2^63 to 2^63-1.       |
+| `float`   | 32                    | `0.0f`                    | Stores floating-point numbers with up to 7 decimal digits of precision.  |
+| `double`  | 64                    | `0.0d`                    | Stores floating-point numbers with up to 15 decimal digits of precision. |
+| `boolean` | Not precisely defined | `false`                   | Holds only two possible values: `true` and `false`.                      |
+| `char`    | 16                    | `'\u0000'`                | Stores a single character, including letters and ASCII values.           |
 
 Here's an example demonstrating the usage of these primitive data types:
 

From 80ed186137aed3e5b60a3114f711f2971fed79c2 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Mon, 29 Sep 2025 22:28:02 +0530
Subject: [PATCH 180/332] [Term Entry - Edit]: Python `namedtuple` (#7551)

* [Term Entry - Edit]: Python `namedtuple`

* Update namedtuple.md

* Update content/python/concepts/collections-module/terms/namedtuple/namedtuple.md

* Update content/python/concepts/collections-module/terms/namedtuple/namedtuple.md

* Update content/python/concepts/collections-module/terms/namedtuple/namedtuple.md

* Update content/python/concepts/collections-module/terms/namedtuple/namedtuple.md

---------
---
 .../terms/namedtuple/namedtuple.md            | 185 ++++++++++++++----
 1 file changed, 149 insertions(+), 36 deletions(-)

diff --git a/content/python/concepts/collections-module/terms/namedtuple/namedtuple.md b/content/python/concepts/collections-module/terms/namedtuple/namedtuple.md
index 74ad7214b14..94da76b65d1 100644
--- a/content/python/concepts/collections-module/terms/namedtuple/namedtuple.md
+++ b/content/python/concepts/collections-module/terms/namedtuple/namedtuple.md
@@ -1,79 +1,192 @@
 ---
 Title: 'namedtuple'
-Description: 'A tuple subclass with named fields'
+Description: 'Creates tuple subclasses with named fields for improved code readability in Python namedtuple structures.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
 Tags:
+  - 'Collections'
+  - 'Data Structures'
   - 'Tuples'
-  - 'Data Types'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-A **namedtuple** is a data type in the `collections` module. It is a [`tuple`](https://www.codecademy.com/resources/docs/python/tuples) subclass that allows you to create immutable objects with named fields. This improves code readability by providing meaningful names for each element and making the code more explicit.
+A **`namedtuple`** is a factory function in Python's `collections` module that creates [`tuple`](https://www.codecademy.com/resources/docs/python/tuples) subclasses with named fields. It provides an immutable data structure that allows access to elements through descriptive field names instead of numeric indices, making Python `namedtuple` structures more readable and self-documenting while maintaining the memory efficiency and performance characteristics of regular tuples.
 
 ## Syntax
 
 ```pseudo
-namedtuple(typename, field_names)
+namedtuple(typename, field_names, *, rename=False, defaults=None, module=None)
 ```
 
-- `typename`: The name of the new tuple subclass.
-- `field_names`: It represents the names of the fields in the named tuple.
+**Parameters:**
 
-## Additional Methods
+- `typename`: A string specifying the name of the new tuple subclass
+- `field_names`: A sequence of strings or a single string with field names separated by whitespace and/or commas
+- `rename`: If `True`, invalid field names are automatically replaced with positional names
+- `defaults`: An iterable of default values for the rightmost parameters
+- `module`: Value for the `__module__` field
 
-There are 3 specific `namedtuple` methods in addition to the standard methods inherited from tuples. All methods begin with an underscore to avoid conflicts with field names.
+**Return value:**
 
--`._make(iterable)`: (Class method) Creates a new instance based on an existing sequence or iterable.
+A new tuple subclass with named fields that can be accessed via dot notation.
 
--`._asdict()`: Returns a [`dict`](https://www.codecademy.com/resources/docs/python/dictionaries) with matching field names and values.
+## Example 1: Python `namedtuple` Basic Example
 
--`._replace(kwarg)`: Returns a new instance with fields replaced by the value provided as a keyword argument.
+This example demonstrates how to create a Python `namedtuple`, access its elements, and perform basic operations in Python:
 
-There are 2 specific attributes `._fields` and `_field_defaults` that will allow you respectively to list field names and to return a [`dict`](https://www.codecademy.com/resources/docs/python/dictionaries) with field names related to their default values.
+```py
+from collections import namedtuple
+
+# Create a namedtuple
+Person = namedtuple('Person', ['name', 'age', 'city'])
+
+# Create instances
+john = Person('John Doe', 30, 'New York')
+jane = Person(name='Jane Smith', age=25, city='Boston')
+
+print(john)
+print(jane)
+
+# Access Operations
+print("Access by field name:", john.name)
+print("Access by index:", john[0])
+print("Access using getattr:", getattr(john, 'age'))
+
+# Conversion Operations
+print("Convert to dict:", john._asdict())
+
+# Additional Operations
+print("Field names:", Person._fields)
+new_person = john._replace(age=31)
+print("After replace:", new_person)
+```
+
+This example results in the following output:
+
+```shell
+Person(name='John Doe', age=30, city='New York')
+Person(name='Jane Smith', age=25, city='Boston')
+Access by field name: John Doe
+Access by index: John Doe
+Access using getattr: 30
+Convert to dict: OrderedDict([('name', 'John Doe'), ('age', 30), ('city', 'New York')])
+Field names: ('name', 'age', 'city')
+After replace: Person(name='John Doe', age=31, city='New York')
+```
+
+## Conversion Operations
+
+`namedtuple` provides several useful methods to convert between different data types and create new instances from existing data. These conversion operations make it easy to work with `namedtuples` alongside other Python data structures like lists, dictionaries, and iterables. There are three main conversion operations available:
+
+- Using `_make()`: Creates `namedtuple` instances from iterables
+- Using `_asdict()`: Converts namedtuples to ordered dictionaries
+- Using `**` operator: Creates namedtuples from dictionaries using unpacking
+
+Let's examine each conversion operation.
+
+### Example 2: Using Named Tuples Python `_make()` Method
+
+Creates a `namedtuple` instance from an existing iterable, making it easy to convert lists, tuples, or other sequences into namedtuples:
+
+```py
+from collections import namedtuple
+
+# Create namedtuple class
+Coordinate = namedtuple('Coordinate', ['x', 'y', 'z'])
 
-## Example
+# Create from different iterables
+point_list = [10, 20, 30]
+point_tuple = (5, 15, 25)
 
-In the following example, a `namedtuple` `codecademyStudent` with two fields (`username` and `courses`) to create two student instances is created. Two sentences will then be displayed about each student and their attributes.
+# Use _make() to create instances
+coord1 = Coordinate._make(point_list)
+coord2 = Coordinate._make(point_tuple)
+
+print(coord1)
+print(coord2)
+```
+
+This example results in the following output:
+
+```shell
+Coordinate(x=10, y=20, z=30)
+Coordinate(x=5, y=15, z=25)
+```
+
+### Example 3: Python Namedtuple `_asdict()` Method
+
+Converts a `namedtuple` instance to an OrderedDict, preserving the field names as keys and their corresponding values:
 
 ```py
 from collections import namedtuple
 
-codecademyStudent = namedtuple('codecademyStudent', ['username', 'courses'])
+# Create namedtuple
+Student = namedtuple('Student', ['name', 'grade', 'subject'])
+student = Student('Alice Johnson', 95, 'Mathematics')
 
-student1 = codecademyStudent(username='Foo', courses=['Python', 'Computer Science'])
-student2 = codecademyStudent(username='Bar', courses=['Javascript', 'Web Development'])
+# Convert to dictionary
+student_dict = student._asdict()
+print("As dictionary:", student_dict)
 
-print("Student 1:", "Username:", student1.username, "| Courses involvement:", student1.courses)
-print("Student 2:", "Username:", student2.username, "| Courses involvement:", student2.courses)
+# Access dictionary values
+print("Name from dict:", student_dict['name'])
+print("Grade from dict:", student_dict['grade'])
 ```
 
-The above example results in the following output:
+This example results in the following output:
 
 ```shell
-Student 1: Username: Foo | Courses involvement: ['Python', 'Computer Science']
-Student 2: Username: Bar | Courses involvement: ['Javascript', 'Web Development']
+As dictionary: OrderedDict([('name', 'Alice Johnson'), ('grade', 95), ('subject', 'Mathematics')])
+Name from dict: Alice Johnson
+Grade from dict: 95
 ```
 
-## Codebyte Example
+### Example 4: Namedtuple Using `**` (Double Star) Operator
 
-The following example creates a `namedtuple` instance from an iterable, then changes one of its assigned values, and returns a [`dict`](https://www.codecademy.com/resources/docs/python/dictionaries) with the default preset values.
+Unpacks a dictionary or `namedtuple` to create new `namedtuple` instances using keyword arguments:
 
-```codebyte/python
+```py
 from collections import namedtuple
 
-numbers = [0, 1, 2]
-myNamedTuple = namedtuple('myNamedTuple', ['a', 'b', 'c'])
-myNamedTuple_numbers = myNamedTuple._make(numbers)
-
-print(myNamedTuple_numbers._fields)
-print("---")
-print(myNamedTuple_numbers)
-print(myNamedTuple_numbers.c)
-print(myNamedTuple_numbers._asdict())
-print("---")
-print(myNamedTuple_numbers._replace(c=3))
+# Create namedtuple class
+Product = namedtuple('Product', ['name', 'price', 'category'])
+
+# Create from dictionary using ** operator
+product_data = {
+    'name': 'Laptop',
+    'price': 999.99,
+    'category': 'Electronics'
+}
+
+laptop = Product(**product_data)
+print("Created from dict:", laptop)
+
+# Create from existing namedtuple using _replace (cleanest way)
+existing_product = Product('Phone', 599.99, 'Electronics')
+modified_product = existing_product._replace(price=549.99)
+print("Modified product:", modified_product)
 ```
+
+This example results in the following output:
+
+```shell
+Created from dict: Product(name='Laptop', price=999.99, category='Electronics')
+Modified product: Product(name='Phone', price=549.99, category='Electronics')
+```
+
+## Frequently Asked Questions
+
+### 1. What is a `namedtuple` in Python?
+
+A `namedtuple` is a factory function in the `collections` module that creates tuple subclasses with named fields. It combines the immutability and memory efficiency of tuples with the readability of accessing elements by name rather than index.
+
+### 2. How do you create a `namedtuple` in Python?
+
+You create a `namedtuple` by calling `namedtuple(typename, field_names)` where `typename` is the class name and `field_names` is a list of field names. For example: `Person = namedtuple('Person', ['name', 'age'])`.
+
+### 3. What are the 4 collection data types in Python?
+
+The four main built-in collection data types in Python are: list (ordered and mutable), tuple (ordered and immutable), set (unordered and mutable with unique elements), and dict (ordered key-value pairs, mutable). The `collections` module provides additional specialized data types like `namedtuple`, `deque`, `Counter`, and `defaultdict`.

From 32cdac314594cfa0bbaca15f8ac0a62db1daadc0 Mon Sep 17 00:00:00 2001
From: Sriparno Roy <89148144+Sriparno08@users.noreply.github.com>
Date: Tue, 30 Sep 2025 09:43:12 +0530
Subject: [PATCH 181/332] [Edit] Python: .capitalize() (#7608)

---
 .../strings/terms/capitalize/capitalize.md    | 81 +++++++++++++++----
 1 file changed, 67 insertions(+), 14 deletions(-)

diff --git a/content/python/concepts/strings/terms/capitalize/capitalize.md b/content/python/concepts/strings/terms/capitalize/capitalize.md
index 37626d3a219..16e211ef66d 100644
--- a/content/python/concepts/strings/terms/capitalize/capitalize.md
+++ b/content/python/concepts/strings/terms/capitalize/capitalize.md
@@ -1,32 +1,38 @@
 ---
 Title: '.capitalize()'
-Description: 'Takes in a string, and returns a copy of the string in capital case.'
+Description: 'Converts the first character of a string to uppercase and all subsequent characters to lowercase.'
 Subjects:
-  - 'Data Science'
   - 'Computer Science'
+  - 'Data Science'
 Tags:
-  - 'Strings'
-  - 'Methods'
+  - 'Characters'
   - 'Functions'
+  - 'Methods'
+  - 'Strings'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/analyze-data-with-python'
 ---
 
-The **`.capitalize()`** method takes in a string, and returns a copy of the string with the first character in upper case, and the remaining characters in lower case.
+The Python **`.capitalize()`** method is a built-in string method that converts the first character of a string to uppercase and all subsequent characters to lowercase. It is particularly useful for presenting data, handling user input, or preparing text for display.
 
-## Syntax
+## Python `.capitalize()` Syntax
 
 ```pseudo
-"string".capitalize()
+str.capitalize()
 ```
 
-- This method does not have any parameters.
-- It does not modify the original string, it returns a copy of the string with the applicable case changes.
+**Parameters:**
+
+The Python `.capitalize()` method does not take any parameters.
+
+**Return value:**
 
-## Example
+Returns a new string with the changes applied.
 
-The following example applies `.capitalize()` to a string in which all the characters are uppercase:
+## Example 1: Handling Uppercase Sentences Using Python `.capitalize()`
+
+This example uses Python `.capitalize()` on an uppercase sentence:
 
 ```py
 print("WELCOME TO CODECADEMY DOCS!".capitalize())
@@ -38,11 +44,58 @@ This will result in:
 Welcome to codecademy docs!
 ```
 
-## Codebyte Example
+## Example 2: Handling Lowercase Sentences Using Python `.capitalize()`
 
-The following example is runnable and uses the `.capitalize()` method:
+This example uses Python `.capitalize()` on a lowercase sentence:
 
-```codebyte/python
+```py
 text = "welcome to new york city"
+
 print(text.capitalize())
 ```
+
+This will result in:
+
+```shell
+Welcome to new york city
+```
+
+## Codebyte Example: Handling Mixed-Case Sentences Using Python `.capitalize()`
+
+This codebyte example uses Python `.capitalize()` on a mixed-case sentence:
+
+```codebyte/python
+text = "Welcome to Codecademy Docs!"
+
+capitalized_text = text.capitalize()
+
+print(capitalized_text)
+```
+
+## Frequently Asked Questions
+
+### 1. What is Python `.capitalize()`?
+
+The Python `.capitalize()` method is a built-in string method that converts the first character of a string to uppercase and all subsequent characters to lowercase.
+
+### 2. How to capitalize all text in Python?
+
+If you want to convert all characters in a string to uppercase in Python, you should use the `.upper()` method instead of `.capitalize()`:
+
+```py
+text = "hello world"
+
+upper_text = text.upper()
+
+print(upper_text)
+```
+
+Here is the output:
+
+```shell
+HELLO WORLD
+```
+
+### 3. Does Python `.capitalize()` modify the original string?
+
+No, Python `.capitalize()` does not modify the original string. Strings in Python are immutable, which means methods like `.capitalize()` return a new string and leave the original unchanged.

From e6bb42d102d7b2a108dbe7172665162427ea0b42 Mon Sep 17 00:00:00 2001
From: Abhay Parekh <parekhabhay50@gmail.com>
Date: Mon, 13 Oct 2025 08:16:38 +0530
Subject: [PATCH 182/332] Add documentation for Pandas groupby median() (#7704)

* Add documentation for Pandas groupby median()

* added codebyte example

---------
---
 .../concepts/groupby/terms/median/median.md   | 82 +++++++++++++++++++
 1 file changed, 82 insertions(+)
 create mode 100644 content/pandas/concepts/groupby/terms/median/median.md

diff --git a/content/pandas/concepts/groupby/terms/median/median.md b/content/pandas/concepts/groupby/terms/median/median.md
new file mode 100644
index 00000000000..d0fdd95e13a
--- /dev/null
+++ b/content/pandas/concepts/groupby/terms/median/median.md
@@ -0,0 +1,82 @@
+---
+Title: '.median()'
+Description: 'Returns a Series or DataFrame containing the median of each group in a GroupBy object.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Data Structures'
+  - 'Pandas'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.median()`** method returns a `Series` or [`DataFrame`](https://www.codecademy.com/resources/docs/pandas/dataframe) containing the median of each group in a [`GroupBy`](https://www.codecademy.com/resources/docs/pandas/groupby) object, ignoring `NaN` values by default.
+
+## Syntax
+
+```pseudo
+groupbyobject.median(numeric_only)
+```
+
+**Parameters:**
+
+- `numeric_only`: Boolean value. If `True`, includes only numeric columns. Default is `False`.
+
+**Return value:**
+
+Returns a new `Series` or `DataFrame` containing the median values for each group.
+
+## Example
+
+The following example produces a `GroupBy` object from a [`DataFrame`](https://www.codecademy.com/resources/docs/pandas/dataframe) and executes the `.median()` method on it:
+
+```py
+import pandas as pd
+
+df = pd.DataFrame({'Team' : ['A', 'A', 'A', 'B', 'B', 'C'],
+                   'Score' : [10, 20, 30, 40, 50, 60]})
+print(df, end='\n\n')
+
+group = df.groupby(['Team'], as_index=False)
+
+print(group.median())
+```
+
+This example produces the following output:
+
+```shell
+  Team  Score
+0    A     10
+1    A     20
+2    A     30
+3    B     40
+4    B     50
+5    C     60
+
+  Team  Score
+0    A   20.0
+1    B   45.0
+2    C   60.0
+```
+
+## Codebyte Example
+
+In this example, median scores of students in different classes are computed to analyze performance:
+
+```codebyte/python
+import pandas as pd
+
+# DataFrame containing student scores for different classes
+df = pd.DataFrame({
+    'Class': ['Math', 'Math', 'Science', 'Science', 'History', 'History'],
+    'Student': ['Alice', 'Bob', 'Charlie', 'David', 'Eve', 'Frank'],
+    'Score': [85, 90, 78, 82, 92, 88]
+})
+
+# Group by class and calculate median score
+class_median = df.groupby('Class')['Score'].median()
+
+print(class_median)
+```

From bef21806c195f66dc9218bb738f9a64b612202c9 Mon Sep 17 00:00:00 2001
From: Andres Cardenas <159399293+Andresanalyst1@users.noreply.github.com>
Date: Mon, 13 Oct 2025 13:53:21 +1100
Subject: [PATCH 183/332] [Term Entry] python Time-module function:
 .perf_counter_ns() (#7677)

* Create perf_counter_ns term for python time-module function.

* edit term entry perf_counter_ns

* content fixes

* fixed table

* Update perf-counter-ns.md

* Format fixes

---------
---
 .../terms/perf-counter-ns/perf-counter-ns.md  | 84 +++++++++++++++++++
 1 file changed, 84 insertions(+)
 create mode 100644 content/python/concepts/time-module/terms/perf-counter-ns/perf-counter-ns.md

diff --git a/content/python/concepts/time-module/terms/perf-counter-ns/perf-counter-ns.md b/content/python/concepts/time-module/terms/perf-counter-ns/perf-counter-ns.md
new file mode 100644
index 00000000000..abd48c4358e
--- /dev/null
+++ b/content/python/concepts/time-module/terms/perf-counter-ns/perf-counter-ns.md
@@ -0,0 +1,84 @@
+---
+Title: '.perf_counter_ns()'
+Description: 'Returns the value of a high-resolution performance counter in nanoseconds.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Machine Learning'
+  - 'Web Development'
+Tags:
+  - 'Data Structures'
+  - 'Functions'
+  - 'Time'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**`.perf_counter_ns()`** is a function from the `time` module that returns a high-resolution timer value in nanoseconds as an integer.
+
+## Syntax
+
+```pseudo
+time.perf_counter_ns()
+```
+
+**Parameters:**
+
+The `.perf_counter_ns()` function takes no arguments.
+
+**Return value:**
+
+Returns the value of a high-resolution performance counter in nanoseconds as an integer.
+
+## Example 1
+
+In this example, `.perf_counter_ns()` from the `time` module is used to measure elapsed time for a block of code by taking timestamps before and after execution and calculating the difference:
+
+```py
+import time
+
+start = time.perf_counter_ns() # start timer
+end = time.perf_counter_ns()   # end timer
+
+print("Elapsed:", end - start, "nanoseconds")
+```
+
+A sample output for this code is:
+
+```shell
+Elapsed: 800 nanoseconds
+```
+
+## Example 2
+
+This example shows how to use `.perf_counter_ns()` to benchmark even small tasks very precisely:
+
+```py
+import time
+import random
+
+# Create a random list of numbers
+numbers = [random.randint(1, 1000000) for _ in range(100000)]
+
+# Start timer
+start = time.perf_counter_ns()
+
+# Code we want to measure
+numbers.sort()
+
+# End timer
+end = time.perf_counter_ns()
+
+# Calculate elapsed time
+elapsed_ns = end - start
+print(f"Sorting took {elapsed_ns} nanoseconds ({elapsed_ns / 1e6:.3f} ms)")
+```
+
+A sample output of this code is:
+
+```shell
+Sorting took 20045800 nanoseconds (20.046 ms)
+```
+
+This code generates a large list of random numbers, sorts it, and calculates the elapsed time by subtracting the start timestamp from the end timestamp, giving a precise measurement in nanoseconds (and milliseconds for readability).

From 2189f810ee76258cf872b6683e12d1c767f6804c Mon Sep 17 00:00:00 2001
From: Luka Perkovic <103464504+perkovicluka@users.noreply.github.com>
Date: Sun, 12 Oct 2025 22:56:40 -0400
Subject: [PATCH 184/332] Add .pop_back() documentation for C++ deque (#7676)

* Add .pop_back() documentation for C++ deque

* content fixes

---------
---
 .../concepts/deque/terms/pop-back/pop-back.md | 101 ++++++++++++++++++
 1 file changed, 101 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/pop-back/pop-back.md

diff --git a/content/cpp/concepts/deque/terms/pop-back/pop-back.md b/content/cpp/concepts/deque/terms/pop-back/pop-back.md
new file mode 100644
index 00000000000..a0918c7bbf9
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/pop-back/pop-back.md
@@ -0,0 +1,101 @@
+---
+Title: '.pop_back()'
+Description: 'Removes the last element from a deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Containers'
+  - 'Deques'
+  - 'OOP'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.pop_back()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) removes the element at the back of a [deque](https://www.codecademy.com/resources/docs/cpp/deque).
+
+If the deque is empty, calling `.pop_back()` results in undefined behavior (UB), meaning the program might crash or behave unpredictably. To prevent this, always check if the deque is not empty using `.empty()` before calling `.pop_back()`.
+
+## Syntax
+
+```pseudo
+dequeName.pop_back();
+```
+
+**Parameters:**
+
+`.pop_back()` method does not take any parameters.
+
+**Return value:**
+
+The `.pop_back()` method does not return a value.
+
+## Example
+
+The example below showcases the use of the `.pop_back()` method, with a safety check using `.empty()` to avoid UB:
+
+```cpp
+#include <iostream>
+#include <deque>
+
+int main() {
+
+  // Initialize a deque of integers with 4 elements
+  std::deque<int> numbers = {10, 20, 30, 40};
+
+  // Check if the deque contains elements
+  if (!numbers.empty()) {
+
+    // Display the last element from the deque before removal
+    std::cout << "Last element: " << numbers.back() << std::endl;
+
+    // Remove the last element from the deque
+    numbers.pop_back();
+
+    // Display the new last element from the deque after removal
+    std::cout << "New last element: " << numbers.back() << std::endl;
+  } else {
+
+    // Display if the deque is empty
+    std::cout << "Deque is empty" << std::endl;
+  }
+
+  return 0;
+}
+```
+
+The above code generates the following output:
+
+```shell
+Last element: 40
+New last element: 30
+```
+
+## Codebyte Example
+
+The following codebyte removes the last element from `myDeque` using the `.pop_back()` method and displays the updated size of the deque:
+
+```codebyte/cpp
+#include <iostream>
+#include <deque>
+#include <string>
+
+int main() {
+
+  std::deque<std::string> myDeque = {"A", "B", "C", "D"};
+
+  std::cout << "Last element: " << myDeque.back() << std::endl;
+  std::cout << "Deque size: " << myDeque.size() << std::endl << std::endl;
+
+  if (!myDeque.empty()) {
+    myDeque.pop_back();
+  }
+
+  std::cout << "New last element: " << myDeque.back() << std::endl;
+  std::cout << "Deque size: " << myDeque.size() << std::endl;
+
+  return 0;
+}
+```

From 0ca025dd246bfa629dc861c8dfbac7c71f42d49b Mon Sep 17 00:00:00 2001
From: Ruturaj Jadhav <ruturajjadhav122@gmail.com>
Date: Mon, 13 Oct 2025 08:28:12 +0530
Subject: [PATCH 185/332] Add Logical Operators with examples to operators.md
 (#7675)

* Keep only Logical Operators section in operators.md

* minor fixes

---------
---
 content/java/concepts/operators/operators.md | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/content/java/concepts/operators/operators.md b/content/java/concepts/operators/operators.md
index a0838d3ac0e..8df7704f3c9 100644
--- a/content/java/concepts/operators/operators.md
+++ b/content/java/concepts/operators/operators.md
@@ -107,3 +107,23 @@ int bitwiseRightShift = a >> b;
 int bitwiseLeftShift = a << b;
 // 40
 ```
+
+## Logical Operators
+
+Logical operators combine multiple boolean expressions or values. They return a boolean result (`true` or `false`).
+
+These are the logical operators in Java:
+
+- `&&` Logical AND: Returns true if **both** expressions are `true`.
+- `||` Logical OR: Returns true if **any** expression is `true`.
+- `!` Logical NOT: Reverses the result (`true` → `false`).
+
+```java
+int a = 10;
+int b = 5;
+int c = 20;
+
+System.out.println((a > b) && (a < c));  // true, both conditions are true
+System.out.println((a > b) || (a > c));  // true, one condition is true
+System.out.println(!(a > b));            // false, negates true
+```

From 82b355345b3cf20798d28b23bb7aa438d4a05bba Mon Sep 17 00:00:00 2001
From: Tia-ani <25anishkakhurana@gmail.com>
Date: Tue, 14 Oct 2025 11:05:52 +0530
Subject: [PATCH 186/332] Add documentation for JavaScript String trimStart()
 method (#7703)

* Added new Term Entry (trimStart)

* minor fixes

* Format

---------
---
 .../strings/terms/trimStart/trimStart.md      | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 content/javascript/concepts/strings/terms/trimStart/trimStart.md

diff --git a/content/javascript/concepts/strings/terms/trimStart/trimStart.md b/content/javascript/concepts/strings/terms/trimStart/trimStart.md
new file mode 100644
index 00000000000..dd54c65258b
--- /dev/null
+++ b/content/javascript/concepts/strings/terms/trimStart/trimStart.md
@@ -0,0 +1,81 @@
+---
+Title: '.trimStart()'
+Description: 'Removes whitespace characters from the start (left side) of a string.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Methods'
+  - 'Strings'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`trimStart()`** method removes whitespace characters from the beginning of a string. It returns a new string with leading whitespace removed, leaving the original string unchanged. This method is also available as `trimLeft()`, which is an alias for `trimStart()`.
+
+Whitespace characters include spaces, tabs, line breaks, and other Unicode whitespace characters.
+
+## Syntax
+
+```pseudo
+string.trimStart()
+```
+
+**Parameters:**
+
+The `trimStart()` method does not take any parameters.
+
+**Return value:**
+
+Returns a new string with whitespace removed from the beginning of the original string. The original string remains unchanged.
+
+## Example
+
+The following example demonstrates how `trimStart()` removes leading whitespace:
+
+```js
+const greeting = '   Hello, World!';
+const trimmedGreeting = greeting.trimStart();
+
+console.log(greeting);
+console.log(trimmedGreeting);
+console.log(greeting.length);
+console.log(trimmedGreeting.length);
+```
+
+The output of this code is:
+
+```shell
+   Hello, World!
+Hello, World!
+16
+13
+```
+
+In this example, `trimStart()` removes the three leading spaces from the string, reducing its length from 16 to 13 characters.
+
+## Codebyte Example
+
+Run the following code to see `trimStart()` in action:
+
+```codebyte/javascript
+// Example with various whitespace characters
+const text1 = "   JavaScript";
+const text2 = "\t\tProgramming";
+const text3 = "\n\nCoding";
+
+console.log("Original:", text1);
+console.log("Trimmed:", text1.trimStart());
+
+console.log("Original:", text2);
+console.log("Trimmed:", text2.trimStart());
+
+console.log("Original:", text3);
+console.log("Trimmed:", text3.trimStart());
+
+// Example showing that trailing spaces are preserved
+const text4 = "   Both sides   ";
+console.log("Original length:", text4.length);
+console.log("After trimStart length:", text4.trimStart().length);
+```

From 1c8abdb1da03adfce9dfdd8ee8985b67153f902f Mon Sep 17 00:00:00 2001
From: Dhruv Lad <laddhruv495@gmail.com>
Date: Tue, 14 Oct 2025 11:13:13 +0530
Subject: [PATCH 187/332] Created b2a-base16.md (#7715)

* made b2a-base16.md

* updated

---------
---
 .../binascii-module/terms/b2a-hex/b2a-hex.md  | 69 +++++++++++++++++++
 1 file changed, 69 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/b2a-hex/b2a-hex.md

diff --git a/content/python/concepts/binascii-module/terms/b2a-hex/b2a-hex.md b/content/python/concepts/binascii-module/terms/b2a-hex/b2a-hex.md
new file mode 100644
index 00000000000..627beacfe8a
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/b2a-hex/b2a-hex.md
@@ -0,0 +1,69 @@
+---
+Title: '.b2a_hex()'
+Description: 'Converts binary data to a bytes object containing its hexadecimal (Base16) ASCII representation.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Encoding'
+  - 'Functions'
+  - 'Hexadecimal'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.b2a_hex()`** function converts binary data into a bytes object containing a string of ASCII characters representing the data in Base16 (hexadecimal) format.
+
+## Syntax
+
+```pseudo
+binascii.b2a_hex(data[, sep[, bytes_per_sep=1]])
+```
+
+**Parameters:**
+
+- `data`: The binary data to convert. Must be a `bytes` or `bytearray` object.
+- `sep` (optional): A single-byte separator inserted between pairs of hex digits in the output.
+- `bytes_per_sep` (optional, default = 1): Determines how many bytes are grouped together before inserting the separator. Ignored if `sep` is not provided.
+
+**Return value:**
+
+Returns a bytes object containing the hexadecimal (Base16) ASCII representation of the input binary data.
+
+## Example: Basic Hexadecimal Conversion
+
+In this example, the binary string `"hello"` is converted to its Base16 ASCII representation:
+
+```py
+import binascii
+
+# Create binary data to encode
+binary_data = b"hello"
+
+# Encode the binary data to Base16 ASCII format
+encoded_data = binascii.b2a_hex(binary_data)
+
+print(encoded_data)
+```
+
+This produces the following output:
+
+```shell
+b'68656c6c6f'
+```
+
+> **Note**: Each byte of the input is converted to its two-character hexadecimal representation.
+
+## Codebyte Example
+
+In this example, the binary string `"Codecademy"` is converted to hexadecimal using `.b2a_hex()` to demonstrate encoding in a small, real-life scenario:
+
+```codebyte/python
+import binascii
+
+binary_data = b"Codecademy"
+encoded_data = binascii.b2a_hex(binary_data)
+
+print(encoded_data)
+```

From 2a137785c4a450c08fdcd35c6bcd9a138e26a710 Mon Sep 17 00:00:00 2001
From: Anamol <44775373+AnamolR@users.noreply.github.com>
Date: Tue, 14 Oct 2025 07:48:48 +0100
Subject: [PATCH 188/332] [Term Entry] First Click Test (#6551)

* [Entry] First Click Test

* fix formatting

* fix meta description

* update content and add first-click heatmap image

* mofified bullet formats

* Update content/uiux/concepts/first-click-test/first-click-test.md

* Update content/uiux/concepts/first-click-test/first-click-test.md

* Update content/uiux/concepts/first-click-test/first-click-test.md

* Update content/uiux/concepts/first-click-test/first-click-test.md

* Update content/uiux/concepts/first-click-test/first-click-test.md

* Update first-click-test.md

Made minor changes

---------
---
 .../first-click-test/first-click-test.md      |  76 ++++++++++++++++++
 media/first-click-heatmap.png                 | Bin 0 -> 91851 bytes
 2 files changed, 76 insertions(+)
 create mode 100644 content/uiux/concepts/first-click-test/first-click-test.md
 create mode 100644 media/first-click-heatmap.png

diff --git a/content/uiux/concepts/first-click-test/first-click-test.md b/content/uiux/concepts/first-click-test/first-click-test.md
new file mode 100644
index 00000000000..cb5f8ca652c
--- /dev/null
+++ b/content/uiux/concepts/first-click-test/first-click-test.md
@@ -0,0 +1,76 @@
+---
+Title: 'First Click Test'
+Description: 'First Click Test evaluates where users click first to measure interface clarity and usability.'
+Subjects:
+  - 'Web Design'
+  - 'Web Development'
+Tags:
+  - 'UX'
+CatalogContent:
+  - 'intro-to-ui-ux'
+  - 'paths/front-end-engineer-career-path'
+---
+
+**First Click Testing** is a usability method used to evaluate the effectiveness of an interface's information hierarchy and design clarity. The test measures where users click first when asked to complete a task, and whether that first click puts them on the correct path.
+
+It is based on a simple but powerful insight:
+
+> **Note:** If a user's first click is correct, they are more likely to complete the task successfully.
+
+Analyzing these initial interactions allows teams to spot usability issues early and validate navigation patterns, content labels or layout choices. In the following example, the heatmap illustrates where users clicked first during a task, highlighting areas of interest and potential usability issues.
+
+![Screenshot of a first click heatmap from a user interace](https://raw.githubusercontent.com/Codecademy/docs/main/media/first-click-heatmap.png)
+
+## Why Is the First Click Important?
+
+Studies show that the success of many digital tasks hinges on the first user interaction. If users begin in the wrong place, they’re more likely to:
+
+- Get lost or disoriented
+- Waste time backtracking
+- Abandon the task altogether
+
+A successful first click, on the other hand:
+
+- Reinforces user confidence
+- Reduces cognitive load
+- Increases task completion rate
+
+This makes first click testing a fast, cost-effective way to validate whether your interface supports intuitive user behavior.
+
+## When to Use First Click Testing
+
+First Click Testing can be conducted:
+
+- **During early design phases:** Use wireframes or lo-fi mockups to test layout clarity before visual polish is added.
+- **When comparing navigation patterns:** Choose between sidebar vs. top nav, label options, or button placement.
+- **Before product release:** Spot high-impact usability issues in key flows like onboarding, search, or checkout.
+- **As part of usability benchmarking:** Track interface improvements over time by comparing first-click accuracy across iterations.
+
+## How to Conduct a First Click Test
+
+First Click Testing can be conducted with simple tools and minimal setup. Here's a typical process:
+
+1. **Select a screen or interface:** Use a static image or prototype representing a single task page.
+2. **Define the user task clearly:** Example: “Where would you click to check your recent orders?”
+3. **Present the screen and record responses:** Participants are asked to click once based on the task. No scrolling or interaction needed.
+4. **Capture key data:**
+   - Location of the first click
+   - Time to first click
+   - User confidence (via self-report)
+   - Follow-up behavior (if a full task is included)
+5. **Analyze results:** Use heatmaps, click accuracy rates, and timing data to uncover usability patterns or navigation issues.
+
+**Tools commonly used:** Maze, Optimal Workshop, UXtweak, Useberry, or even clickable PDFs.
+
+## What First Click Test Measures
+
+First Click Testing is focused on _user decision-making at the very start of a task_. It helps identify whether users understand what to do next, and whether your interface intuitively supports their goals.
+
+Key metrics include:
+
+- **Click accuracy:** Did users click the correct item or path first?
+- **Time to first click:** How long did it take them to decide?
+- **User confidence:** How confident were they in their choice?
+- **Completion rate:** Did they finish the task successfully after the first click?
+
+> **Note:** The first click test is best used in combination with other usability methods for full insights.
diff --git a/media/first-click-heatmap.png b/media/first-click-heatmap.png
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HcmV?d00001


From f67fb59de7493275fb8ba08ae3b88881e2c20e39 Mon Sep 17 00:00:00 2001
From: Vansh <77244334+vansh2408@users.noreply.github.com>
Date: Tue, 14 Oct 2025 13:38:22 +0530
Subject: [PATCH 189/332] docs: add JavaScript String method .trimEnd() term
 entry #7687 (#7702)

* docs: add JavaScript String method .trimEnd() term entry #7687

* minor fixes

* Update trimEnd.md

---------
---
 .../concepts/strings/terms/trimEnd/trimEnd.md | 64 +++++++++++++++++++
 1 file changed, 64 insertions(+)
 create mode 100644 content/javascript/concepts/strings/terms/trimEnd/trimEnd.md

diff --git a/content/javascript/concepts/strings/terms/trimEnd/trimEnd.md b/content/javascript/concepts/strings/terms/trimEnd/trimEnd.md
new file mode 100644
index 00000000000..50465efd870
--- /dev/null
+++ b/content/javascript/concepts/strings/terms/trimEnd/trimEnd.md
@@ -0,0 +1,64 @@
+---
+Title: '.trimEnd()'
+Description: 'Removes whitespace characters from the end of a string.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Methods'
+  - 'Strings'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.trimEnd()`** method removes whitespace characters from the end (right side) of a [string](https://www.codecademy.com/resources/docs/javascript/strings). It does not modify the original string but instead returns a new string with the trailing whitespace removed.
+
+## Syntax
+
+```pseudo
+string.trimEnd();
+```
+
+**Parameters:**
+
+The `.trimEnd()` method takes no parameters.
+
+**Return value:**
+
+Returns a new string with whitespace removed from the end (right side) of the original string.
+
+## Example
+
+The following example removes whitespace from the end of a string using `.trimEnd()`:
+
+```js
+const message = 'Hello World   ';
+console.log(`Before trim: "${message}"`);
+console.log(`After trimEnd: "${message.trimEnd()}"`);
+```
+
+Here's the output of this code:
+
+```shell
+Before trim: "Hello World   "
+After trimEnd: "Hello World"
+```
+
+## Codebyte Example
+
+The following runnable example demonstrates the `.trimEnd()` method in action:
+
+```codebyte/javascript
+// Create a string with trailing whitespace
+const greeting = 'Hi there!    ';
+
+// Display the original string (with visible quotes to show spaces)
+console.log('Before:', `"${greeting}"`);
+
+// Remove trailing whitespace using .trimEnd()
+const trimmed = greeting.trimEnd();
+
+// Display the trimmed string
+console.log('After:', `"${trimmed}"`);
+```

From f9deff7a80d23dae787d697eadd212921d07c49d Mon Sep 17 00:00:00 2001
From: Yuval Levental <yhl3051@rit.edu>
Date: Tue, 14 Oct 2025 04:15:17 -0400
Subject: [PATCH 190/332] Add .push_front() term entry for C++ deque (Issue
 #7654) (#7684)

* Add .push_front() term entry for C++ deque (Issue #7654)

* Update push-front.md

Fixed some minor formatting errors

* minor fixes

* Update push-front.md

* Update content/cpp/concepts/deque/terms/push-front/push-front.md

---------
---
 .../deque/terms/push-front/push-front.md      | 92 +++++++++++++++++++
 1 file changed, 92 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/push-front/push-front.md

diff --git a/content/cpp/concepts/deque/terms/push-front/push-front.md b/content/cpp/concepts/deque/terms/push-front/push-front.md
new file mode 100644
index 00000000000..52806e998cf
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/push-front/push-front.md
@@ -0,0 +1,92 @@
+---
+Title: '.push_front()'
+Description: 'Adds an element to the beginning of the deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Deques'
+  - 'Methods'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.push_front()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) adds an element to the beginning of the deque.
+
+## Syntax
+
+```pseudo
+dequeName.push_front(value);
+```
+
+**Parameters:**
+
+- `value`: The element to be added to the front of the deque. It can be of any [data type](https://www.codecademy.com/resources/docs/cpp/data-types) that the `dequeName` holds.
+
+**Return value:**
+
+`void` (no value is returned).
+
+## Example
+
+The example below showcases the use of the `.push_front()` method:
+
+```cpp
+#include <iostream>
+#include <deque>
+
+int main() {
+  // Create a deque of integers
+  std::deque<int> numbers;
+
+  // Use .push_front() to add elements to the beginning of the deque
+  numbers.push_front(30);
+  numbers.push_front(20);
+  numbers.push_front(10);
+
+  // Display the elements of the deque
+  std::cout << "Deque contents: ";
+  for (int num : numbers) {
+    std::cout << num << " ";
+  }
+  std::cout << std::endl;
+
+  return 0;
+}
+```
+
+The above code generates the following output:
+
+```shell
+Deque contents: 10 20 30
+```
+
+## Codebyte Example
+
+The following codebyte adds values to `myDeque` with the `.push_front()` method:
+
+```codebyte/cpp
+#include <iostream>
+#include <deque>
+
+int main() {
+  std::deque<int> myDeque;
+
+  // Add elements to the front of the deque
+  myDeque.push_front(100);
+  myDeque.push_front(200);
+  myDeque.push_front(300);
+
+  // Display the deque
+  std::cout << "Deque elements: ";
+  for (int element : myDeque) {
+    std::cout << element << " ";
+  }
+  std::cout << std::endl;
+
+  return 0;
+}
+```

From e02465d197227adce01f081f697adf5a1c74fb0f Mon Sep 17 00:00:00 2001
From: Rutuj Dhawale <148652804+killjoycircuit@users.noreply.github.com>
Date: Tue, 14 Oct 2025 13:48:16 +0530
Subject: [PATCH 191/332] Added a new entry on the term values() under Map in
 JavaScript  (#7683)

* Create front

* Update front.md

Added a new entry on the term front() under deque in C++ in the mentioned address.

* Rename front to front.md

* Update front.md

* Update front.md

formatted md file

* Create at.md

* Delete content/cpp/concepts/deque/terms/at directory

* Create values.md

* Update values.md

Added entry for the .values() method

* minor content fixes

* Delete content/cpp/concepts/deque/terms/front directory

removed front.md

* Update content/javascript/concepts/map/terms/values/values.md

* Update content/javascript/concepts/map/terms/values/values.md

---------
---
 .../concepts/map/terms/values/values.md       | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/javascript/concepts/map/terms/values/values.md

diff --git a/content/javascript/concepts/map/terms/values/values.md b/content/javascript/concepts/map/terms/values/values.md
new file mode 100644
index 00000000000..ea864bba387
--- /dev/null
+++ b/content/javascript/concepts/map/terms/values/values.md
@@ -0,0 +1,76 @@
+---
+Title: '.values()'
+Description: 'Returns a new iterator object that contains the values of a Map object in insertion order.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Map'
+  - 'Object'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.values()`** method of a `Map` object returns a new `Map` iterator object that contains the values for each element, in insertion order.
+
+This method does not modify the original Map and can be used to iterate through the stored values, excluding the keys.
+
+## Syntax
+
+```pseudo
+map.values()
+```
+
+**Parameters:**
+
+This method doesn't take any parameters.
+
+**Return value:**
+
+Returns a new iterator object that contains the values from the Map, in the order they were inserted.
+
+## Example
+
+In this example, the `.values()` method retrieves all values stored in a `Map` object:
+
+```js
+const studentScores = new Map([
+  ['Alice', 95],
+  ['Bob', 87],
+  ['Charlie', 92],
+]);
+
+const valuesIterator = studentScores.values();
+
+for (const score of valuesIterator) {
+  console.log(score);
+}
+```
+
+The output of this code is:
+
+```shell
+95
+87
+92
+```
+
+## Codebyte Example
+
+In this example, `.values()` returns an iterator of stock quantities, which are printed using a `for...of` loop:
+
+```codebyte/javascript
+const bookInventory = new Map([
+  ['The Hobbit', 12],
+  ['1984', 7],
+  ['Dune', 5],
+]);
+
+const stockLevels = bookInventory.values();
+
+console.log('Available stock quantities: ');
+for (const stock of stockLevels) {
+  console.log(stock);
+}
+```

From 47dae159fffe7e637bbab033f64c4d74e69cf4c9 Mon Sep 17 00:00:00 2001
From: Kevin <kkeomalaythong117@gmail.com>
Date: Tue, 14 Oct 2025 04:23:16 -0400
Subject: [PATCH 192/332] Add JavaScript Map entry for 'entries()' (#7681)

* Add JavaScript Map entry for 'entries()'

* code fixes

* Update entries.md

* Update content/javascript/concepts/map/terms/entries/entries.md

---------
---
 .../concepts/map/terms/entries/entries.md     | 108 ++++++++++++++++++
 1 file changed, 108 insertions(+)
 create mode 100644 content/javascript/concepts/map/terms/entries/entries.md

diff --git a/content/javascript/concepts/map/terms/entries/entries.md b/content/javascript/concepts/map/terms/entries/entries.md
new file mode 100644
index 00000000000..d4df7eee3a3
--- /dev/null
+++ b/content/javascript/concepts/map/terms/entries/entries.md
@@ -0,0 +1,108 @@
+---
+Title: 'entries()'
+Description: 'Returns an iterator of the key–value pairs in a Map object.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Map'
+  - 'Object'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`entries()`** method in JavaScript Maps returns an iterator containing each key–value pair in insertion order.
+
+## Syntax
+
+```pseudo
+map.entries();
+```
+
+**Parameters:**
+
+The `.entries()` method takes no parameters.
+
+**Return value:**
+
+An iterator object that contains the `[key, value]` pairs for each element in the `Map`, in insertion order.
+
+> **Note:** If the `Map` object is empty, then `entries()` returns an empty iterator object.
+
+## Example
+
+In this example, a Map’s key-value pairs are iterated using `for...of`:
+
+```js
+const animals = new Map([
+  ['cat', 1],
+  ['dog', 2],
+  ['horse', 3],
+  ['eagle', 4],
+  ['bear', 5],
+  ['coyote', 6],
+]);
+
+const iterator = animals.entries();
+
+for (const [key, value] of iterator) {
+  console.log(`key: ${key}, value: ${value}`);
+}
+```
+
+The output produced will be:
+
+```shell
+key: cat, value: 1
+key: dog, value: 2
+key: horse, value: 3
+key: eagle, value: 4
+key: bear, value: 5
+key: coyote, value: 6
+```
+
+## Codebyte Example
+
+In this example, a Map is used to track car inventory, search for a specific car, and update the inventory and wallet when a purchase is made:
+
+```codebyte/javascript
+const cars = new Map([
+  ['Acura NSX', 70000],
+  ['BMW M3 E92', 59000],
+  ['Chevrolet Camaro', 50000],
+  ['Ford Escort RS Cosworth', 25000],
+  ['Honda Civic Si', 24000],
+  ['Lexus IS350', 42000]
+]);
+
+let wallet = 100000;  // Current funds
+const car = 'Lexus IS350';  // Selected car
+
+// Convert Map entries to an array for searching
+const found = Array.from(cars.entries()).find(([carName]) => carName === car);
+
+if (found) {
+  const price = found[1];
+
+  if (wallet >= price) {
+    wallet -= price; // Deduct funds
+    cars.delete(car); // Remove car from inventory
+
+    console.log(`${car} purchased.`);
+    console.log('Current inventory after purchase:');
+
+    // Iterate over remaining cars
+    for (const [carName, price] of cars.entries()) {
+      console.log(`{Car: ${carName}, Price: ${price}}`);
+    }
+
+    console.log(`\nCurrent funds: ${wallet}`);
+    console.log(`${car} purchased. Enjoy the drive!`);
+  } else {
+    console.log('Not enough funds in wallet.');
+  }
+} else {
+  console.log('Car is not found in inventory.');
+}
+```

From e8c439e7fc95ae44c06d96cb616ed400c3c1a305 Mon Sep 17 00:00:00 2001
From: Michael Barrett <69733844+mjebdev@users.noreply.github.com>
Date: Tue, 14 Oct 2025 10:26:31 +0100
Subject: [PATCH 193/332] [Term Entry] C++ Relational Operators (#7450)

* Add entry for Relational Operators.

* Add Relational Operators entry.

* Delete content/cpp/concepts/operators/terms/relational-operators/relational-operators.md.backup

Deleted relational-operators.md.backup file.

* Update relational-operators.md

* Update relational-operators.md

* Update content/cpp/concepts/operators/terms/relational-operators/relational-operators.md

* Update content/cpp/concepts/operators/terms/relational-operators/relational-operators.md

* Update content/cpp/concepts/operators/terms/relational-operators/relational-operators.md

* Update content/cpp/concepts/operators/terms/relational-operators/relational-operators.md

* Update content/cpp/concepts/operators/terms/relational-operators/relational-operators.md

* Update content/cpp/concepts/operators/terms/relational-operators/relational-operators.md

* Update content/cpp/concepts/operators/terms/relational-operators/relational-operators.md

* fixed lint

---------
---
 .../relational-operators.md                   | 121 ++++++++++++++++++
 1 file changed, 121 insertions(+)
 create mode 100644 content/cpp/concepts/operators/terms/relational-operators/relational-operators.md

diff --git a/content/cpp/concepts/operators/terms/relational-operators/relational-operators.md b/content/cpp/concepts/operators/terms/relational-operators/relational-operators.md
new file mode 100644
index 00000000000..2c7472a894f
--- /dev/null
+++ b/content/cpp/concepts/operators/terms/relational-operators/relational-operators.md
@@ -0,0 +1,121 @@
+---
+Title: 'Relational Operators'
+Description: 'Relational operators in C++ compare two values and return a boolean result (true or false) based on the relationship between them.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Booleans'
+  - 'Comparison'
+  - 'Operators'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+**Relational operators** (also called comparison operators) compare two values or variables and return a Boolean result: `true` if the specified relationship holds, or `false` otherwise. They are fundamental in decision-making and control flow.
+
+There are 6 relational operators in C++:
+
+- `==` (equal to)
+- `!=` (not equal to)
+- `>` (greater than)
+- `<` (less than)
+- `>=` (greater than or equal to)
+- `<=` (less than or equal to)
+
+Let's explore each of them in detail.
+
+## EQUAL TO (`==`) Operator
+
+The **equal to** ( `==`) operator determines whether two values are equal. It returns `true` if the values are equal and `false` if they are not.
+
+## NOT EQUAL TO (`!=`) Operator
+
+The **not equal to** (`!=`) operator determines whether two values are unequal. It returns `true` if they are not equal and `false` if they are equal.
+
+## GREATER THAN (`>`) Operator
+
+The **greater than** (`>`) operator determines whether the left operand in an expression is greater than the right operand and returns `true` if so, `false` if not.
+
+## LESS THAN (`<`) Operator
+
+The **less than** (`<`) operator determines whether the left operand in an expression is less than the right operand and returns `true` if so, `false` if not.
+
+## GREATER THAN OR EQUAL TO (`>=`) Operator
+
+The **greater than or equal to** (`>=`) operator returns `true` if the left operand in an expression is greater than or equal to the right operand. Otherwise it returns `false`.
+
+## LESS THAN OR EQUAL TO (`<=`) Operator
+
+The **less than or equal to** (`<=`) operator returns `true` if the left operand in an expression is less than or equal to the right operand. Otherwise it returns `false`.
+
+## Example
+
+In this example, integers and floats are compared using relational operators, showing how each expression evaluates to `true` or `false`:
+
+```cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+  int a = 5;
+  int b = 10;
+  float c = 5.0;
+
+  cout << "a = 5, b = 10, c = 5.0\n";
+  cout << "True = 1, False = 0\n\n";
+
+  cout << "(a == c) equals " << (a == c) << "\n";
+  cout << "(b != a) equals " << (b != a) << "\n";
+  cout << "(b > a) equals " << (b > a) << "\n";
+  cout << "(a < b) equals " << (a < b) << "\n";
+  cout << "(a >= c) equals " << (a >= c) << "\n";
+  cout << "(b <= a) equals " << (b <= a) << "\n";
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+a = 5, b = 10, c = 5.0
+True = 1, False = 0
+
+(a == c) equals 1
+(b != a) equals 1
+(b > a) equals 1
+(a < b) equals 1
+(a >= c) equals 1
+(b <= a) equals 0
+```
+
+## Codebyte Example
+
+In this example, multiple relational operators are applied to integer variables to demonstrate element-wise comparisons and their Boolean results:
+
+```codebyte/cpp
+#include <iostream>
+using namespace std;
+
+int main() {
+
+  int w = 2;
+  int x = 4;
+  int y = 2;
+  int z = 9;
+
+  cout << "w = 2, x = 4, y = 2, z = 9\n";
+  cout << "True = 1, False = 0\n\n";
+
+  cout << "(w == y) equals " << (w == y) << "\n";
+  cout << "(y != w) equals " << (y != w) << "\n";
+  cout << "(x > w) equals " << (x > w) << "\n";
+  cout << "(z < x) equals " << (z < x) << "\n";
+  cout << "(y >= w) equals " << (y >= w) << "\n";
+  cout << "(x <= y) equals " << (x <= y) << "\n";
+
+  return 0;
+}
+```

From 7c8559d26c4961546eae2978889e8b7e73a29067 Mon Sep 17 00:00:00 2001
From: Taahirah <taahirahbz@gmail.com>
Date: Wed, 15 Oct 2025 09:37:20 +0400
Subject: [PATCH 194/332] [Term Entry] PyTorch Tensor Operations:
 .float_power()

* [Edit] SQL: SUBSTRING() (#7473)

* [Edit] SQL: SUBSTRING()

* updated an faq and some content tweaks to add keywords

---------

* Term for float-power is added

* Formatted .md file

* Version 2 of the same PR

* [Term Entry] PyTorch Tensor Operations: .float_power()

* added backlink

* Update float-power.md

---------
---
 .../terms/float-power/float-power.md          | 69 +++++++++++++++++++
 1 file changed, 69 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/float-power/float-power.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/float-power/float-power.md b/content/pytorch/concepts/tensor-operations/terms/float-power/float-power.md
new file mode 100644
index 00000000000..b873c5f6cd8
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/float-power/float-power.md
@@ -0,0 +1,69 @@
+---
+Title: '.float_power()'
+Description: 'Raises each element of a tensor to the power of the given exponent with the result always returned in floating point.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Python'
+  - 'Pytorch'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In PyTorch, **`.float_power()`** raises each element of a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) to the power of the given exponent with the result always returned in floating point.
+
+## Syntax
+
+```pseudo
+torch.float_power(input, exponent, *, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The base tensor.
+- `exponent` (Tensor or Scalar): The exponent to which each element of the input is raised. Must be broadcastable to input.
+- `out` (Tensor, optional): The output tensor to store the result.
+
+**Return value:**
+
+- Returns a tensor containing the input elements raised to the specified power, with the result always in the floating point data type.
+
+## Example 1: Tensor Base with Scalar Exponent
+
+In this example, each element of the tensor is raised to the same scalar exponent `2`:
+
+```py
+import torch
+
+base = torch.tensor([1, 2, 3, 4])
+exp = 2
+result = torch.float_power(base, exp)
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([ 1.,  4.,  9., 16.])
+```
+
+## Example 2: Tensor Base with Tensor Exponents
+
+In this example, each element of the base tensor is raised to the corresponding element in the exponent tensor, allowing for fractional powers:
+
+```py
+import torch
+
+base = torch.tensor([1, 2, 3, 4])
+exp = torch.tensor([0.5, 1, 1.5, 2])
+result = torch.float_power(base, exp)
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([ 1.0000,  2.0000,  5.1962, 16.0000])
+```

From 615a493959ad9c00640e12432f532c93484ff579 Mon Sep 17 00:00:00 2001
From: Alejandro Quivera <35770411+Alequi@users.noreply.github.com>
Date: Wed, 15 Oct 2025 07:59:53 +0200
Subject: [PATCH 195/332] [Concept Entry] Java: LinkedList

* Add concept entry for LinkedList

* Added Metadata Information

* Syntax to be wrapped in pseudo block

Co-authored-by: Mamta Wardhani <mamta.wardhani@gmail.com>

* Line +17 to +22  into paragraph format, instead of bullets

* Parameters and return values after sintax

* lines +33 to +47 into tabular format

* Looks good for a second review!

* Minor changes

---------
---
 .../java/concepts/linked-list/linked-list.md  | 106 ++++++++++++++++++
 1 file changed, 106 insertions(+)
 create mode 100644 content/java/concepts/linked-list/linked-list.md

diff --git a/content/java/concepts/linked-list/linked-list.md b/content/java/concepts/linked-list/linked-list.md
new file mode 100644
index 00000000000..c208ffb7a49
--- /dev/null
+++ b/content/java/concepts/linked-list/linked-list.md
@@ -0,0 +1,106 @@
+---
+Title: 'LinkedList'
+Description: 'A LinkedList in Java is a doubly-linked list implementation of the List and Deque interfaces.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Interface'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+In Java, a **`LinkedList`** is a doubly linked list implementation in `java.util` that implements `List<E>`, `Deque<E>`, `Cloneable`, and `Serializable`. Elements are stored in nodes linked to previous and next nodes. It allows `null` elements, provides efficient insertions and removals at the list ends and implements standard deque/queue operations (push/pop, offer/poll, `addFirst()`/`addLast()`).
+
+## Syntax
+
+```pseudo
+LinkedList<Type> list = new LinkedList<>();
+```
+
+**Parameters:**
+
+- `Type`: The data type of elements stored in the list (eg., `String`, `Integer`).
+
+**Return value:**
+
+- A new empty `LinkedList` instance of the specified type.
+
+## Common Methods in a Linked List
+
+Common methods of `LinkedList` (inherited from `List`/`Deque` or defined in the class) include those for adding, removing, and accessing elements. Here are some of the most frequently used methods with their signatures and brief descriptions:
+
+| Method                           | Description                                                                                                      | Example              |
+| -------------------------------- | ---------------------------------------------------------------------------------------------------------------- | -------------------- |
+| `boolean add(E e)`               | Appends the specified element to the end of the list (same as `addLast(E)`). Returns `true` if the list changed. | `list.add("X")`      |
+| `void add(int index, E element)` | Inserts an element at the specified position, shifting subsequent elements.                                      | `list.add(0, "Y")`   |
+| `void addFirst(E e)`             | Inserts the element at the beginning (new head).                                                                 | `list.addFirst("Z")` |
+| `void addLast(E e)`              | Adds element at the end of the list.                                                                             | `list.addLast("A")`  |
+| `E get(int index)`               | Returns the element at the specified position.                                                                   | `list.get(2)`        |
+| `E getFirst()` / `E getLast()`   | Returns the first or last element.                                                                               | `list.getFirst()`    |
+| `E remove(int index)`            | Removes and returns the element at the given position.                                                           | `list.remove(1)`     |
+| `E removeFirst()`                | Deletes and returns the first element (head).                                                                    | `list.removeFirst()` |
+| `E removeLast()`                 | Deletes and returns the last element (tail).                                                                     | `list.removeLast()`  |
+| `boolean contains(Object o)`     | Checks if the list contains the given element.                                                                   | `list.contains("X")` |
+| `int size()`                     | Returns the size or number of elements in the list.                                                              | `list.size()`        |
+
+## Example
+
+This example creates a `LinkedList` of strings and performs various operations on it:
+
+```java
+import java.util.LinkedList;
+
+public class LinkedListDemo {
+  public static void main(String[] args) {
+    LinkedList<String> list = new LinkedList<>();
+
+    // Adding elements to the LinkedList
+    list.add("Alice");      // Append "Alice" to the end
+    list.add("Bob");        // Append "Bob" to the end
+    list.addFirst("Zara");  // Insert "Zara" at the beginning
+    list.addLast("Charlie");// Insert "Charlie" at the end (same as add)
+
+    System.out.println("List after additions: " + list);
+
+    // Accessing elements
+    String firstElement = list.getFirst(); // Retrieve first element ("Zara")
+    String thirdElement = list.get(2);     // Retrieve element at index 2 ("Bob")
+    System.out.println("First element: " + firstElement);
+    System.out.println("Element at index 2: " + thirdElement);
+
+    // Removing elements
+    list.removeFirst();    // Removes "Zara" (first element)
+    list.removeLast();     // Removes "Charlie" (last element)
+    list.remove("Alice");  // Removes the first occurrence of "Alice"
+
+    System.out.println("List after removals: " + list);
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+List after additions: [Zara, Alice, Bob, Charlie]
+First element: Zara
+Element at index 2: Bob
+List after removals: [Bob]
+```
+
+## `LinkedList` vs `ArrayList`
+
+| Feature            | `LinkedList`                                   | `ArrayList`                            |
+| ------------------ | ---------------------------------------------- | -------------------------------------- |
+| Access by index    | O(n) (must traverse nodes)                     | O(1) (direct access)                   |
+| Insert/remove ends | O(1)                                           | O(n) at front, O(1) at end (amortized) |
+| Memory usage       | Higher (extra pointers per node)               | Lower (contiguous array)               |
+| Best use case      | Queues, stacks, frequent insert/remove at ends | General-purpose, fast random access    |
+
+**Rule of thumb:**
+
+- Use `ArrayList` for most cases (better performance & memory).
+- Use `LinkedList` when you need frequent insertions/removals at the beginning or end.

From 3706a759223ac0ebf3746f122cb8b37979325448 Mon Sep 17 00:00:00 2001
From: Silvia Pasciullo <117067632+silviapasc@users.noreply.github.com>
Date: Wed, 15 Oct 2025 08:11:59 +0200
Subject: [PATCH 196/332] [Term Entry] CSS Transform Functions: rotateZ()

* Create rotateZ.md

* PNG to [Term Entry] CSS rotateZ() #7497

* CSS Transform Functions: rotateZ() (#7497)

* PNG file reference updated

* minor tweaks

* Update rotateZ.md

* Minor changes

---------
---
 .../terms/rotateZ/rotateZ.md                  |  85 ++++++++++++++++++
 media/css-rotateZ.png                         | Bin 0 -> 35490 bytes
 2 files changed, 85 insertions(+)
 create mode 100644 content/css/concepts/transform-functions/terms/rotateZ/rotateZ.md
 create mode 100644 media/css-rotateZ.png

diff --git a/content/css/concepts/transform-functions/terms/rotateZ/rotateZ.md b/content/css/concepts/transform-functions/terms/rotateZ/rotateZ.md
new file mode 100644
index 00000000000..087c284ae5a
--- /dev/null
+++ b/content/css/concepts/transform-functions/terms/rotateZ/rotateZ.md
@@ -0,0 +1,85 @@
+---
+Title: 'rotateZ()'
+Description: 'Rotates an element around the z-axis by a specified angle.'
+Subjects:
+  - 'Code Foundations'
+  - 'Web Design'
+Tags:
+  - 'CSS'
+  - 'Functions'
+  - 'Positioning'
+CatalogContent:
+  - 'learn-css'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The CSS **`rotateZ()`** function applies a rotation to an element around the z-axis in three-dimensional space. The transformation does not deform the element itself, which is typically an HTML element or image contributing to the web layout.
+
+The `rotateZ()` function is used within the CSS [`transform`](https://www.codecademy.com/resources/docs/css/transform-functions/transform) property and is essentially equivalent to the [`rotate()`](https://www.codecademy.com/resources/docs/css/transform-functions/rotate) function, with the distinction that the z-axis is explicitly specified. For example, `rotateZ(45deg)` is equivalent to `rotate(45deg)` as well as to `rotate(0 0 1 45deg)`, where the rotation is represented by a vector in which the `x` and `y` components are zero, and the `z` component is positive. Similarly `rotateZ(45deg)` is equivalent to `rotate3d(0, 0, 1, 45deg)`, where the rotation is defined along the z-axis.
+
+## Syntax
+
+```pseudo
+transform: rotateZ(a)
+```
+
+**Parameters:**
+
+- `a`: is an angle defining the degree of rotation, which can be expressed in degrees (`deg`), radians (`rad`), gradians (`grad`), or turns (`turn`). A positive value specifies a clockwise rotation, while a negative value specifies a counterclockwise rotation.
+
+**Return value:**
+
+The `rotateZ()` function returns a `<transform-function>` data type.
+
+## Example
+
+In this example, the `rotateZ()` property is used to rotate some `<div>` containers around the z-axis. The structure is modeled in HTML as follows:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Hello, World!</title>
+    <link rel="stylesheet" href="styles.css" />
+  </head>
+  <body>
+    <div class="container">
+      <div class="original">Original Element</div>
+      <div class="rotated-clockwise">Rotated Element #1</div>
+      <div class="rotated-counterclockwise">Rotated Element #2</div>
+    </div>
+  </body>
+</html>
+```
+
+The `rotateZ()` property is applied to the second and third `<div>` containers, so that the element with the class `rotated-clockwise` is rotated by 45 degrees clockwise and the element with the class `rotated-counterclockwise` is rotated by -45 degrees counterclockwise (i.e,. in the opposite direction):
+
+```css
+div {
+  width: 80px;
+  height: 80px;
+  padding: 10px;
+}
+
+.container {
+  padding: 50px;
+}
+
+.original {
+  background-color: lightblue;
+}
+
+.rotated-clockwise {
+  transform: rotateZ(45deg);
+  background-color: lightgreen;
+}
+
+.rotated-counterclockwise {
+  transform: rotateZ(-45deg);
+  background-color: greenyellow;
+}
+```
+
+Here is the expected output:
+
+![Clockwise and counterclockwise rotated div containers modelled using the CSS rotateZ() function](https://raw.githubusercontent.com/Codecademy/docs/main/media/css-rotateZ.png)
diff --git a/media/css-rotateZ.png b/media/css-rotateZ.png
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From 5fb7af4cf949f5dc889b41aa6a0555e34da48cb6 Mon Sep 17 00:00:00 2001
From: jjwheatley <61948277+jjwheatley@users.noreply.github.com>
Date: Wed, 15 Oct 2025 08:21:52 +0200
Subject: [PATCH 197/332] [Term Entry] Python Collections Module: ChainMap

* [Term Entry] Python - Collections-Module: ChainMap

* added output block

* Update chainmap.md

---------
---
 .../terms/chainmap/chainmap.md                | 118 ++++++++++++++++++
 1 file changed, 118 insertions(+)
 create mode 100644 content/python/concepts/collections-module/terms/chainmap/chainmap.md

diff --git a/content/python/concepts/collections-module/terms/chainmap/chainmap.md b/content/python/concepts/collections-module/terms/chainmap/chainmap.md
new file mode 100644
index 00000000000..e6d2b92bf4b
--- /dev/null
+++ b/content/python/concepts/collections-module/terms/chainmap/chainmap.md
@@ -0,0 +1,118 @@
+---
+Title: 'ChainMap'
+Description: 'Creates a single view of multiple dictionaries or mappings in Python.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Data Types'
+  - 'Dictionary'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`ChainMap`** class from Python's `collections` [module](https://www.codecademy.com/resources/docs/python/modules) provides a single, combined view of multiple [dictionaries](https://www.codecademy.com/resources/docs/python/dictionaries) or mappings, searching them in order and returning the first match for each key.
+
+## Syntax
+
+```pseudo
+ChainMap(*maps)
+```
+
+**Parameters:**
+
+- `*maps`: Variable number of mapping objects (dictionaries, etc.) to be chained together.
+
+**Return value:**
+
+Returns a `ChainMap` object that provides dictionary-like access across all supplied mappings, resolving keys from the first mapping where they appear.
+
+## Example
+
+This example demonstrates how to create and use a `ChainMap`:
+
+```py
+from collections import ChainMap
+
+# Create multiple dictionaries
+default_settings = {'theme': 'dark', 'language': 'en', 'notifications': True}
+user_settings = {'theme': 'light', 'font_size': 14}
+session_settings = {'language': 'es'}
+
+# Create a ChainMap with the dictionaries
+settings = ChainMap(session_settings, user_settings, default_settings)
+
+# Access values (searches from left to right)
+print(settings['theme'])
+print(settings['language'])
+print(settings['notifications'])
+print(settings['font_size'])
+```
+
+The output of this code is:
+
+```shell
+light
+es
+True
+14
+```
+
+This example shows how `ChainMap` searches through the dictionaries in order, returning the first occurrence of each key.
+
+## Codebyte Example
+
+This codebyte example demonstrates practical usage of `ChainMap` for configuration management:
+
+```codebyte/python
+from collections import ChainMap
+
+# Configuration dictionaries with different priorities
+system_config = {
+  'host': 'localhost',
+  'port': 8080,
+  'timeout': 30,
+  'debug': False
+}
+
+user_config = {
+  'host': '192.168.1.100',
+  'debug': True,
+  'max_connections': 100
+}
+
+environment_config = {
+  'port': 9000,
+  'timeout': 60
+}
+
+# Create a ChainMap (environment overrides user, user overrides system)
+config = ChainMap(environment_config, user_config, system_config)
+
+print("Final configuration:")
+for key, value in config.items():
+  print(f"{key}: {value}")
+
+# Demonstrate key lookup behavior
+print(f"\nHost: {config['host']}")
+print(f"Port: {config['port']}")
+print(f"Debug: {config['debug']}")
+print(f"Timeout: {config['timeout']}")
+```
+
+## Key Features of `ChainMap`
+
+- **Search Order**: Keys are searched from left to right across the provided mappings.
+- **First Match Wins**: The first occurrence of a key is returned.
+- **Dynamic Updates**: Changes to the underlying dictionaries are reflected in the `ChainMap`.
+- **Memory Efficient**: Doesn't create copies of the data, just references to the original mappings.
+
+## Common Use Cases of `ChainMap`
+
+- **Configuration Management**: Combining system defaults, user preferences, and environment-specific settings.
+- **API Response Merging**: Combining multiple API responses into a single view.
+- **Template Systems**: Merging multiple context dictionaries for rendering templates.
+- **Fallback Mechanisms**: Providing fallback values when primary sources don't have certain keys.

From c40683fc340074fda3669e135190fad6900e885c Mon Sep 17 00:00:00 2001
From: LowLifeCrisis <christopherllamas52@gmail.com>
Date: Wed, 15 Oct 2025 02:04:28 -0500
Subject: [PATCH 198/332] [Term Entry] Python Time Module: .localtime()

* Create localtime.md

* Update localtime.md

-Add Tags

* Update localtime.md

Update Meta Data

* Update localtime.md

* Update localtime.md

* Update localtime.md

Update Syntax

* Update localtime.md

Update Examples

* Update localtime.md

* Update localtime.md

* minor fixes

* Update localtime.md

---------
---
 .../time-module/terms/localtime/localtime.md  | 78 +++++++++++++++++++
 1 file changed, 78 insertions(+)
 create mode 100644 content/python/concepts/time-module/terms/localtime/localtime.md

diff --git a/content/python/concepts/time-module/terms/localtime/localtime.md b/content/python/concepts/time-module/terms/localtime/localtime.md
new file mode 100644
index 00000000000..36e05375eb8
--- /dev/null
+++ b/content/python/concepts/time-module/terms/localtime/localtime.md
@@ -0,0 +1,78 @@
+---
+Title: '.localtime()'
+Description: 'Converts a time expressed in seconds since the epoch to the local time.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Python'
+  - 'Time'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In Python, the **`.localtime()`** method converts a time value, given in seconds since the epoch (January 1, 1970, 00:00:00 UTC), into local time. If no value is provided, it returns the current local time instead.
+
+## Syntax
+
+```pseudo
+time.localtime(seconds)
+```
+
+**Parameters:**
+
+- `seconds` (Optional): A number (`float` or `int`) representing seconds since the epoch. Defaults to the current time if omitted.
+
+**Return value:**
+
+Returns a `time.struct_time` object representing the local time.
+
+## Example 1: `.localtime()` With No Argument
+
+This example demonstrates when running `.localtime()` without the optional `seconds` argument:
+
+```py
+import time
+
+lt = time.localtime()
+print('Current Local Time:', lt)
+```
+
+The output of the code is:
+
+```shell
+Current local time: time.struct_time(tm_year=2025, tm_mon=8, tm_mday=31, tm_hour=19, tm_min=53, tm_sec=36, tm_wday=6, tm_yday=243, tm_isdst=0)
+```
+
+## Example 2: `.localtime()` With a Passed Argument
+
+This example converts 5000 seconds since the epoch into local time:
+
+```py
+import time
+
+# Passing the seconds elapsed as an argument to this method
+lt = time.localtime(5000)
+print('Python Local Time:', lt)
+```
+
+The output of the code is:
+
+```shell
+Python local time: time.struct_time(tm_year=1970, tm_mon=1, tm_mday=1, tm_hour=1, tm_min=23, tm_sec=20, tm_wday=3, tm_yday=1, tm_isdst=0)
+```
+
+## Codebyte Example: Using `.localtime()` to Log a File Download Time
+
+This codebyte example demonstrates how to record the local time when a file download is completed:
+
+```codebyte/python
+import time
+
+# Simulate logging the time of a file download
+download_time = time.localtime()
+print("File downloaded at:", time.strftime("%Y-%m-%d %H:%M:%S", download_time))
+```
+
+> **Note:** The output of `.localtime()` may differ depending on the system clock, time zone settings, and daylight saving adjustments.

From cafde3a52fbd0ac5dcb7f167b7081cfda211451e Mon Sep 17 00:00:00 2001
From: Vansh <77244334+vansh2408@users.noreply.github.com>
Date: Wed, 15 Oct 2025 19:37:13 +0530
Subject: [PATCH 199/332] docs: add Pandas groupBy method .agg() term entry
 #7690 (#7714)

* docs: add Pandas groupBy method .agg() term entry #7690

* minor fixes

* added backlinks

---------
---
 .../pandas/concepts/groupby/terms/agg/agg.md  | 93 +++++++++++++++++++
 1 file changed, 93 insertions(+)
 create mode 100644 content/pandas/concepts/groupby/terms/agg/agg.md

diff --git a/content/pandas/concepts/groupby/terms/agg/agg.md b/content/pandas/concepts/groupby/terms/agg/agg.md
new file mode 100644
index 00000000000..fd365721b64
--- /dev/null
+++ b/content/pandas/concepts/groupby/terms/agg/agg.md
@@ -0,0 +1,93 @@
+---
+Title: '.agg()'
+Description: 'Applies one or more aggregation functions to grouped data in a Pandas DataFrame.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Data Structures'
+  - 'Methods'
+  - 'Pandas'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.agg()`** method in Pandas is used with `groupby()` to apply one or more aggregation functions (like [`sum`](https://www.codecademy.com/resources/docs/pandas/groupby/sum), [`mean`](https://www.codecademy.com/resources/docs/pandas/groupby/mean), [`count`](https://www.codecademy.com/resources/docs/pandas/groupby/count), etc.) to grouped data. It allows flexible and powerful summarization of DataFrame data after grouping.
+
+## Syntax
+
+```pseudo
+DataFrameGroupBy.agg(arg, *args, **kwargs)
+```
+
+**Parameters:**
+
+- `arg`: Function, string, list, or dictionary specifying the aggregation(s) to apply. Examples: `'sum'`, `'mean'`, `['min', 'max']`, or `{'col1': 'sum', 'col2': 'mean'}`
+- `*args`: Additional positional arguments passed to the function.
+- `**kwargs`: Additional keyword arguments passed to the function.
+
+**Return Value:**
+
+Returns a DataFrame or Series with the aggregated results for each group.
+
+## Example
+
+In this example, the mean Salary, maximum Salary, and total Bonus are calculated for each Department using `groupby().agg()`:
+
+```py
+import pandas as pd
+
+# Sample DataFrame
+data = {
+    'Department': ['Sales', 'Sales', 'HR', 'HR', 'IT', 'IT'],
+    'Salary': [50000, 60000, 40000, 45000, 70000, 75000],
+    'Bonus': [5000, 6000, 2000, 2500, 8000, 8500]
+}
+
+df = pd.DataFrame(data)
+
+# Group by Department and calculate multiple aggregations
+result = df.groupby('Department').agg({
+    'Salary': ['mean', 'max'],
+    'Bonus': 'sum'
+})
+
+print(result)
+```
+
+This example produces the following output:
+
+```shell
+           Salary         Bonus
+             mean    max    sum
+Department
+HR          42500  45000   4500
+IT          72500  75000  16500
+Sales       55000  60000  11000
+```
+
+## Codebyte Example
+
+In this example, the average Points and total Assists are computed for each Team using `groupby().agg()`:
+
+```codebyte/python
+import pandas as pd
+
+# Create a sample DataFrame
+data = {
+    'Team': ['A', 'A', 'B', 'B', 'C', 'C'],
+    'Points': [25, 30, 15, 10, 50, 45],
+    'Assists': [5, 7, 3, 4, 8, 9]
+}
+
+df = pd.DataFrame(data)
+
+# Use groupby and agg to calculate mean Points and total Assists per Team
+grouped = df.groupby('Team').agg({
+    'Points': 'mean',
+    'Assists': 'sum'
+})
+
+print(grouped)
+```

From 871457e1076f1d3324f115b21682f2376562481e Mon Sep 17 00:00:00 2001
From: SRIKARTIK MATETI <matetikartik1999@gmail.com>
Date: Tue, 21 Oct 2025 12:43:57 +0530
Subject: [PATCH 200/332]  [Term Entry] Python deque: extendleft() (#7781)

* Adding extendleft.md

* Update extendleft() method description

Clarified that elements are added in reverse order when using the extendleft() method.

* Update extendleft.md

---------
---
 .../deque/terms/extendleft/extendleft.md      | 79 +++++++++++++++++++
 1 file changed, 79 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/extendleft/extendleft.md

diff --git a/content/python/concepts/deque/terms/extendleft/extendleft.md b/content/python/concepts/deque/terms/extendleft/extendleft.md
new file mode 100644
index 00000000000..1840c55ca0c
--- /dev/null
+++ b/content/python/concepts/deque/terms/extendleft/extendleft.md
@@ -0,0 +1,79 @@
+---
+Title: 'extendleft()'
+Description: 'Adds multiple elements to the left end of a deque from any iterable.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Algorithms'
+  - 'Collections'
+  - 'Data Structures'
+  - 'Deques'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`extendleft()`** method adds multiple elements to the left end of a `deque` from any iterable (like a [list](https://www.codecademy.com/resources/docs/python/lists), [tuple](https://www.codecademy.com/resources/docs/python/tuples), or another [deque](https://www.codecademy.com/resources/docs/python/collections-module/deque), adding them in reverse order. It modifies the deque in place and returns `None`.
+
+## Syntax
+
+```pseudo
+deque.extendleft(iterable)
+```
+
+**Parameter:**
+
+- `iterable`: A sequence or iterable whose elements will be added to the left end of the deque.
+
+**Return value:**
+
+This method does not return any value. It modifies the deque in-place.
+
+> **Note:** Elements are added in reverse order of the iterable.
+
+## Example
+
+In this example, `extendleft()` adds elements from a list and another deque to the left end of an existing deque:
+
+```py
+from collections import deque
+
+# Create a deque
+dq = deque([1, 2, 3])
+
+# Extend using a list
+dq.extendleft([4, 5, 6])
+print("After extendleft with list:", dq)
+
+# Extend using another deque
+dq.extendleft(deque([7, 8, 9]))
+print("After extendleft with another deque:", dq)
+```
+
+This example results in the following output:
+
+```shell
+After extendleft with list: deque([6, 5, 4, 1, 2, 3])
+After extendleft with another deque: deque([9, 8, 7, 6, 5, 4, 1, 2, 3])
+```
+
+## Codebyte Example: Extending a deque with a list and a tuple
+
+In this example, `extendleft()` adds elements from a list and a tuple on the left, demonstrating its ability to handle different iterables:
+
+```codebyte/python
+from collections import deque
+
+# Create a deque with some initial elements
+fruits = deque(["apple", "banana"])
+print("Initial deque:", fruits)
+
+# Add multiple elements to the left using extendleft()
+fruits.extendleft(["cherry", "date"])
+print("After extendleft with list:", fruits)
+
+# Extend again using a tuple
+fruits.extendleft(("elderberry", "fig"))
+print("After extendleft with tuple:", fruits)
+```

From 4708ee3e48c92aefe662f7d707bff349d75e2163 Mon Sep 17 00:00:00 2001
From: Dithi <156334435+Jivi-this-side@users.noreply.github.com>
Date: Wed, 22 Oct 2025 13:34:52 +0530
Subject: [PATCH 201/332] Feat: Added  `deque.insert()` term entry under Python
 deque. (#7779)

* Feat: Added  deque.insert() term entry under Python deque.

* updated content

* Update content/python/concepts/deque/terms/insert/insert.md

---------
---
 .../concepts/deque/terms/insert/insert.md     | 110 ++++++++++++++++++
 1 file changed, 110 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/insert/insert.md

diff --git a/content/python/concepts/deque/terms/insert/insert.md b/content/python/concepts/deque/terms/insert/insert.md
new file mode 100644
index 00000000000..98d3b54193c
--- /dev/null
+++ b/content/python/concepts/deque/terms/insert/insert.md
@@ -0,0 +1,110 @@
+---
+Title: 'insert()'
+Description: 'Inserts a single element at the specified index in the deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Deques'
+  - 'Methods'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`insert()`** method of Python’s [`collections.deque`](https://www.codecademy.com/resources/docs/python/collections-module) inserts an element at a specified index within the deque. Unlike `append()` or `appendleft()`, which add elements only to the ends, `insert()` can add an element at any valid position.
+
+While deques are optimized for fast appends and pops at both ends, using `insert()` in the middle may affect performance because it shifts elements internally.
+
+## Syntax
+
+```pseudo
+deque.insert(index, element)
+```
+
+**Parameters:**
+
+- `index` : The position where the new element will be inserted.
+- `element` : The item to insert into the deque.
+
+**Return value:**
+
+- `None`: This method modifies the deque in place.
+
+## Example 1: Inserting an Element at a Specific Position
+
+This example demonstrates inserting elements at specific positions within a deque:
+
+```py
+from collections import deque
+
+# Create a deque
+fruits = deque(["apple", "banana", "cherry"])
+print("Original deque:", fruits)
+
+# Insert 'orange' at index 1
+fruits.insert(1, "orange")
+print("After inserting 'orange' at index 1:", fruits)
+```
+
+The output of this code is:
+
+```shell
+Original deque: deque(['apple', 'banana', 'cherry'])
+After inserting 'orange' at index 1: deque(['apple', 'orange', 'banana', 'cherry'])
+```
+
+## Example 2: Using Negative Indices and Edge Insertions
+
+This example demonstrates inserting elements at the beginning and end using positive and negative indices:
+
+```py
+from collections import deque
+
+colors = deque(["red", "green", "blue"])
+
+# Insert at the beginning
+colors.insert(0, "purple")
+
+# Insert at the end using len(colors)
+colors.insert(len(colors), "yellow")
+
+# Insert before the last item using negative index
+colors.insert(-1, "cyan")
+
+print(colors)
+```
+
+The output of this code is:
+
+```shell
+deque(['purple', 'red', 'green', 'blue', 'cyan', 'yellow'])
+```
+
+Here, the `insert()` method demonstrates its flexibility that it can insert items anywhere in the deque.
+
+## Codebyte Example: How to Use `deque.insert()` for Dynamic Insertions
+
+In this example, `insert()` adds elements at various positions in a deque, demonstrating dynamic insertions at the beginning, middle, and end:
+
+```codebyte/python
+from collections import deque
+
+# Create a deque of numbers
+numbers = deque([10, 20, 30, 40])
+print("Original deque:", numbers)
+
+# Insert elements at various positions
+numbers.insert(2, 25)       # Insert at index 2
+numbers.insert(0, 5)        # Insert at beginning
+numbers.insert(len(numbers), 50)  # Insert at end
+
+print("Updated deque:", numbers)
+
+# Access elements to verify insertion
+print("First element:", numbers[0])
+print("Middle element:", numbers[2])
+print("Last element:", numbers[-1])
+```

From c45e42461845e854e7527c327a8c21a4d1a77ce7 Mon Sep 17 00:00:00 2001
From: RishitModi <modirishit6@gmail.com>
Date: Wed, 22 Oct 2025 13:45:15 +0530
Subject: [PATCH 202/332] created new entry for pop_front() under deque.
 (#7723)

* docs updated,created new entry for pop_front() under deque.

* minor updates

* Update content/cpp/concepts/deque/terms/pop-front/pop-front.md

* Update content/cpp/concepts/deque/terms/pop-front/pop-front.md

---------
---
 .../deque/terms/pop-front/pop-front.md        | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/pop-front/pop-front.md

diff --git a/content/cpp/concepts/deque/terms/pop-front/pop-front.md b/content/cpp/concepts/deque/terms/pop-front/pop-front.md
new file mode 100644
index 00000000000..d73ae43fbd8
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/pop-front/pop-front.md
@@ -0,0 +1,81 @@
+---
+Title: 'pop_front()'
+Description: 'Removes the first element from a deque container in C++.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Containers'
+  - 'Deques'
+  - 'Methods'
+  - 'STL'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`pop_front()`** method in C++ deque removes or pops the first (front) element from the deque, reducing its size by one.
+
+## Syntax
+
+```pseudo
+deque_name.pop_front();
+```
+
+**Parameters:**
+
+This method does not take any parameters.
+
+**Return value:**
+
+`pop_front()` does not return anything and removes the first element from the deque
+
+## Example
+
+In this example, the first element of an integer deque is removed, and the updated deque is printed:
+
+```cpp
+#include <iostream>
+#include <deque>
+using namespace std;
+
+int main() {
+  deque<int> numbers = {10, 20, 30, 40};
+
+  // Remove the first element
+  numbers.pop_front(); // Removes 10
+
+  cout << "Deque after pop_front(): ";
+  for (int num : numbers) {
+    cout << num << " ";
+  }
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Deque after pop_front(): 20 30 40
+```
+
+## Codebyte Example
+
+In this example, the first element of a string deque is removed, and the new front element is displayed:
+
+```codebyte/cpp
+#include <iostream>
+#include <deque>
+using namespace std;
+
+int main() {
+  deque<string> names = {"Alice", "Bob", "Charlie"};
+
+  // Removes the first element
+  names.pop_front(); // Removes "Alice"
+
+  cout << "Front element after pop_front(): " << names.front() << endl;
+  return 0;
+}
+```

From b63f52d2cf09d4fa145ce49e072f80de251d566f Mon Sep 17 00:00:00 2001
From: Swayam Mishra <swayammishra1504@gmail.com>
Date: Wed, 22 Oct 2025 14:11:37 +0530
Subject: [PATCH 203/332] Docs: Add binascii.a2b_base64() entry (#7725)

* docs: Create entry for binascii.a2b_base64()

* minor fixes

---------
---
 .../terms/a2b-base64/a2b-base64.md            | 89 +++++++++++++++++++
 1 file changed, 89 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/a2b-base64/a2b-base64.md

diff --git a/content/python/concepts/binascii-module/terms/a2b-base64/a2b-base64.md b/content/python/concepts/binascii-module/terms/a2b-base64/a2b-base64.md
new file mode 100644
index 00000000000..74be66a8c7f
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/a2b-base64/a2b-base64.md
@@ -0,0 +1,89 @@
+---
+Title: '.a2b_base64()'
+Description: 'Decodes base64 encoded data back into its original binary representation.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Encoding'
+  - 'Methods'
+  - 'Modules'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.a2b_base64()`** method in Python's `binascii` module decodes a string of base64 encoded data. It takes an ASCII string containing base64 encoded data and converts it back into its original binary form.
+
+## Syntax
+
+```pseudo
+binascii.a2b_base64(string)
+```
+
+**Parameters:**
+
+- `string`: A bytes-like object or ASCII string containing base64-encoded data to be decoded.
+
+**Return value:**
+
+Returns the original binary data as a `bytes` object after decoding the base64 input.
+
+> **Note:** If the input string is not correctly padded to a multiple of 4, a `binascii.Error` exception is raised.
+
+## Example
+
+In this example, `.a2b_base64()` decodes a base64 string representing `"Hello World!"` back into binary form:
+
+```py
+import binascii
+
+# A Base64 encoded string representing "Hello World!"
+encoded_string = b'SGVsbG8gV29ybGQh'
+
+# Decode the Base64 string back to binary
+decoded_data = binascii.a2b_base64(encoded_string)
+
+print(f"Original encoded string: {encoded_string}")
+print(f"Decoded binary data: {decoded_data}")
+print(f"Decoded as text: {decoded_data.decode('utf-8')}")
+```
+
+The output will be:
+
+```
+Original encoded string: b'SGVsbG8gV29ybGQh'
+Decoded binary data: b'Hello World!'
+Decoded as text: Hello World!
+```
+
+## Codebyte Example
+
+The following example shows how `.a2b_base64()` handles both valid and invalid base64 input:
+
+```codebyte/python
+import binascii
+
+# Valid Base64 string for "Codecademy"
+encoded = b'Q29kZWNhZGVteQ=='
+decoded = binascii.a2b_base64(encoded)
+
+print(f"Encoded Base64: {encoded}")
+print(f"Decoded data: {decoded}")
+print(f"Decoded text: {decoded.decode('utf-8')}")
+
+# Example with proper padding
+encoded_with_padding = b'UHl0aG9u'  # "Python" in Base64
+decoded_python = binascii.a2b_base64(encoded_with_padding)
+print(f"\nAnother example:")
+print(f"Encoded: {encoded_with_padding}")
+print(f"Decoded: {decoded_python.decode('utf-8')}")
+
+# Example with invalid padding (will cause an error)
+try:
+  invalid_encoded = b'abc'  # Not properly padded
+  binascii.a2b_base64(invalid_encoded)
+except binascii.Error as e:
+  print(f"\nError with invalid input 'abc': {e}")
+```

From cef38b9afc2d9734421f4c6f8a9674e677834943 Mon Sep 17 00:00:00 2001
From: Lyubomir Pamukov <73745912+lubomirpamukov@users.noreply.github.com>
Date: Wed, 22 Oct 2025 12:16:25 +0300
Subject: [PATCH 204/332] Add remove() method documentation for deque (#7780)

* Add remove() method documentation for deque

* minor fixes

* Update remove.md

* Update remove.md

---------
---
 .../concepts/deque/terms/remove/remove.md     | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/remove/remove.md

diff --git a/content/python/concepts/deque/terms/remove/remove.md b/content/python/concepts/deque/terms/remove/remove.md
new file mode 100644
index 00000000000..d01568065d1
--- /dev/null
+++ b/content/python/concepts/deque/terms/remove/remove.md
@@ -0,0 +1,81 @@
+---
+Title: 'remove()'
+Description: 'Removes the first occurrence of a specified value from a deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Structures'
+Tags:
+  - 'Data Structures'
+  - 'Deque'
+  - 'Methods'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`remove()`** method removes the first occurrence of a specified value from a [deque](https://www.codecademy.com/resources/docs/python/collections-module/deque). If the value is not found in the deque, a `ValueError` is raised. The method modifies the deque in-place and does not return a value.
+
+## Syntax
+
+```pseudo
+deque.remove(value)
+```
+
+**Parameters:**
+
+- `value`: The item to be removed from the deque. Only the first occurrence is removed.
+
+**Return value:**
+
+The `remove()` method returns `None`.
+
+**Exceptions:**
+
+- `ValueError`: Raised when the specified value is not found in the deque.
+
+## Example: Removing an Element by Value
+
+In this example, the first occurrence of a given value is removed from the `deque`:
+
+```py
+from collections import deque
+
+# Create a deque with integer elements
+numbers = deque([10, 20, 30, 20, 40])
+
+# Remove the first occurrence of 20
+numbers.remove(20)
+
+print(numbers)
+```
+
+The output of the code is:
+
+```shell
+deque([10, 30, 20, 40])
+```
+
+In the example above, the `remove()` method removes only the first occurrence of `20` from the deque, leaving the second occurrence of `20` intact.
+
+## Codebyte Example
+
+In this example, multiple elements are removed from the deque, one at a time:
+
+```codebyte/python
+from collections import deque
+
+# Create a deque with string elements
+colors = deque(['red', 'blue', 'green', 'blue', 'yellow'])
+
+print('Original deque:', colors)
+
+# Remove the first occurrence of 'blue'
+colors.remove('blue')
+
+print('After remove("blue"):', colors)
+
+# Remove another element
+colors.remove('red')
+
+print('After remove("red"):', colors)
+```

From b9a64f213bcb3a2b2d75655820b4ac46267911a4 Mon Sep 17 00:00:00 2001
From: Dhruv Lad <laddhruv495@gmail.com>
Date: Wed, 22 Oct 2025 15:03:37 +0530
Subject: [PATCH 205/332] Added .crc32() term under binascii module (#7743)

* created crc32.md

* minor tweaks

---------
---
 .../binascii-module/terms/crc32/crc32.md      | 72 +++++++++++++++++++
 1 file changed, 72 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/crc32/crc32.md

diff --git a/content/python/concepts/binascii-module/terms/crc32/crc32.md b/content/python/concepts/binascii-module/terms/crc32/crc32.md
new file mode 100644
index 00000000000..035f12a4d57
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/crc32/crc32.md
@@ -0,0 +1,72 @@
+---
+Title: '.crc32()'
+Description: 'Computes the CRC-32 checksum of binary data using a cyclic redundancy check algorithm.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Encoding'
+  - 'Error Handling'
+  - 'Functions'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.crc32()`** function computes a CRC-32 checksum of the given data using a cyclic redundancy check algorithm. It is commonly used to detect accidental changes in raw data.
+
+## Syntax
+
+```pseudo
+binascii.crc32(data, value=0)
+```
+
+**Parameters:**
+
+- `data`: A bytes-like object containing the binary data whose CRC-32 checksum is to be computed.
+- `value` (optional): An initial CRC value. This can be used to compute cumulative CRCs across multiple data blocks. Default is `0`.
+
+**Return value:**
+
+Returns an integer representing the CRC-32 checksum of the input data.
+
+## Example
+
+In this example, the CRC-32 checksum of a single string of binary data is computed:
+
+```py
+import binascii
+
+# Create binary data
+binary_data = b"hello world"
+
+# Compute the CRC-32 checksum
+checksum = binascii.crc32(binary_data)
+
+print(checksum)
+```
+
+This produces the following output :
+
+```shell
+222957957
+```
+
+The output value is an unsigned 32-bit integer representing the checksum of the input data.
+
+## Codebyte Example
+
+In this example, the CRC-32 checksum is computed incrementally for multiple chunks of data, simulating a real-world file integrity check:
+
+```codebyte/python
+import binascii
+
+chunks = [b"Hello ", b"World!", b" CRC32"]
+crc = 0  # initial CRC
+
+# Compute CRC incrementally
+for chunk in chunks:
+  crc = binascii.crc32(chunk, crc)
+
+print("Incremental CRC-32 Checksum:", crc)
+```

From f5bafc74c3ac3aca8064f506485b598a40322d50 Mon Sep 17 00:00:00 2001
From: mmasi90 <matteo_masia@hotmail.it>
Date: Wed, 22 Oct 2025 11:40:55 +0200
Subject: [PATCH 206/332] Add a new entry about the term yield (#7742)

* add a new entry about the term yield

* fix linting issues

* code example fix

* Update yield.md

* Title: switch back to Capitalized
Definition: added information on yield usage
Example: add output and example explanation
Codebyte: change function references on code explanation

* Update content/python/concepts/keywords/terms/yield/yield.md

* Update content/python/concepts/keywords/terms/yield/yield.md

* Update content/python/concepts/keywords/terms/yield/yield.md

* Update content/python/concepts/keywords/terms/yield/yield.md

---------
---
 .../concepts/keywords/terms/yield/yield.md    | 114 ++++++++++++++++++
 1 file changed, 114 insertions(+)
 create mode 100644 content/python/concepts/keywords/terms/yield/yield.md

diff --git a/content/python/concepts/keywords/terms/yield/yield.md b/content/python/concepts/keywords/terms/yield/yield.md
new file mode 100644
index 00000000000..bdaa52506b2
--- /dev/null
+++ b/content/python/concepts/keywords/terms/yield/yield.md
@@ -0,0 +1,114 @@
+---
+Title: 'yield'
+Description: 'Turns a function into a generator, producing values one at a time while retaining state between calls.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Functions'
+  - 'Iterators'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`yield`** keyword is used in a [function](https://www.codecademy.com/resources/docs/python/functions) to make it a [generator function](https://www.codecademy.com/resources/docs/python/generators). Generator functions return an [iterator](https://www.codecademy.com/resources/docs/python/iterators) that produces one value per call instead of all values at once. To get a value from a generator, call the `next()` function on it. The code within the function is executed up to the `yield` statement. When `yield` is encountered, the current value is returned. The function maintains its state between calls, resuming from where it left off. This enhances memory efficiency for large datasets and allows better resource management, such as processing streams or database results.
+
+## Syntax
+
+```pseudo
+def generatorFunction():
+  # ...
+  yield value
+  # ...
+```
+
+**Parameters:**
+
+- `value`: The object to be produced by the generator. If omitted, `None` is yielded.
+
+**Return value:**
+
+`yield` returns the next value in a generator sequence to the caller.
+
+## Example
+
+In this example, the generator yields numbers from 1 to 5, producing values one at a time:
+
+```py
+# Define a generator function that yields numbers from 1 to 5
+def count_up_to_five():
+  for i in range(1, 6):
+    yield i
+
+# Create the generator
+gen = count_up_to_five()
+
+# Iterate over the generator to get values
+for number in gen:
+  print(number)
+```
+
+The output of this code is:
+
+```shell
+1
+2
+3
+4
+5
+```
+
+> **Note:** `for` loop implicitly calls `next()` method on the generator `gen`.
+
+In this code:
+
+- `count_up_to_five` is defined as a generator function.
+- `count_up_to_five()` is called and it returns a generator object without executing the function body.
+- `for` loop calls `next()` on `gen`, which starts executing `count_up_to_five`.
+- `count_up_to_five` runs until it hits the `yield` statement, returning the current value of `i`.
+- `for` loop calls `next()` again, `count_up_to_five` function resumes right after the `yield` statement.
+
+## Codebyte Example: Printing a list of words with `return` vs. `yield`
+
+This Codebyte example shows the difference between using `return` and `yield` in a function:
+
+```codebyte/python
+from typing import List
+
+# A list of words to print
+words: List[str] = ["Hello", "yield", "!"]
+
+# Function using return
+def print_list_by_return(element: str):
+  print("Before return")
+  return element
+  print("After return")  # never executes
+
+# Function using yield
+def print_list_by_yield(element: str):
+  print("Before yield")
+  yield element
+  print("After yield")  # executes when generator resumes
+
+# Calling functions
+print("calling print_list_by_return:\n")
+for word in words:
+  print(print_list_by_return(word))
+
+print(f"\n{'#'*20}\n")
+
+print("calling print_list_by_yield:\n")
+for word in words:
+  yield_obj = print_list_by_yield(word)
+  for value in yield_obj:
+    print(value)
+```
+
+> **Note:** Because `yield` produces an iterator, we need to loop through the iterator to get the values to print. If not, we'll see the generator object memory address printed.
+
+In this code:
+
+- The `print_list_by_return` function prints only `"Before return"` because it exits immediately.
+- The `print_list_by_yield` function prints `"Before yield"` and `"After yield"` for each item, pausing at `yield` and resuming when iterated.

From 798084e54f608c01e8877b10c1f79769a2fdaf36 Mon Sep 17 00:00:00 2001
From: SRIKARTIK MATETI <matetikartik1999@gmail.com>
Date: Wed, 22 Oct 2025 15:20:12 +0530
Subject: [PATCH 207/332] [Term Entry] Python keywords: pass (#7761)

* Adding pass term file

* minor fixes

* Update content/python/concepts/keywords/terms/pass/pass.md

* Update content/python/concepts/keywords/terms/pass/pass.md

* Update content/python/concepts/keywords/terms/pass/pass.md

---------
---
 .../concepts/keywords/terms/pass/pass.md      | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 content/python/concepts/keywords/terms/pass/pass.md

diff --git a/content/python/concepts/keywords/terms/pass/pass.md b/content/python/concepts/keywords/terms/pass/pass.md
new file mode 100644
index 00000000000..b55b81ea5f2
--- /dev/null
+++ b/content/python/concepts/keywords/terms/pass/pass.md
@@ -0,0 +1,55 @@
+---
+Title: 'pass'
+Description: 'Acts as a placeholder in Python code, allowing empty code blocks to run without causing errors.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arguments'
+  - 'Functions'
+  - 'Parameters'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`pass`** keyword in Python acts as a placeholder in code blocks (like functions or loops) where no action is required. It prevents syntax errors when a statement is needed but no operation should occur.
+
+## Syntax
+
+```pseudo
+def function_name():
+  pass
+```
+
+The `pass` statement is written in lowercase and is often used inside a [function](https://www.codecademy.com/resources/docs/python/functions), [class](https://www.codecademy.com/resources/docs/python/classes), [loop](https://www.codecademy.com/resources/docs/python/loops), or [conditional](https://www.codecademy.com/resources/docs/python/conditionals) block.
+
+> **Note:** Using incorrect casing like `Pass` or `PASS` will result in a `SyntaxError`.
+
+## Example
+
+In this example, the `sum()` function is defined but its logic is not yet implemented:
+
+```py
+def sum(a, b):
+  pass  # actual logic is yet to be implemented
+
+print(sum(5,6))
+```
+
+When called, this function returns `None` because no return statement is defined.
+
+## Codebyte Example
+
+In real projects, developers use `pass` as a temporary placeholder in unfinished functions to keep the program running without errors:
+
+```codebyte/python
+# Example: Placeholder for a future login verification function
+
+def verify_login(username, password):
+  pass  # Logic will be added later to check user credentials
+
+print("Login system is under construction...")
+verify_login("Alice", "mypassword")
+```

From fc0a8720cff57a144a3d072ccd679f6d68eedb09 Mon Sep 17 00:00:00 2001
From: Vansh <77244334+vansh2408@users.noreply.github.com>
Date: Wed, 22 Oct 2025 15:27:47 +0530
Subject: [PATCH 208/332] =?UTF-8?q?feat(python):=20add=20term=20entry=20fo?=
 =?UTF-8?q?r=20'with'=20keyword=20with=20syntax,=20examples=E2=80=A6=20(#7?=
 =?UTF-8?q?778)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* feat(python): add term entry for 'with' keyword with syntax, examples, and codebyte (#7738)

* Prettier fix

* Refine 'with' keyword documentation in Python

Updated the documentation for the 'with' keyword in Python. Improved clarity by refining explanations and examples, and corrected method names.

* Update return value explanation in with.md

Clarify return value description for context manager.

---------
---
 .../concepts/keywords/terms/with/with.md      | 88 +++++++++++++++++++
 1 file changed, 88 insertions(+)
 create mode 100644 content/python/concepts/keywords/terms/with/with.md

diff --git a/content/python/concepts/keywords/terms/with/with.md b/content/python/concepts/keywords/terms/with/with.md
new file mode 100644
index 00000000000..78dfcc8eae2
--- /dev/null
+++ b/content/python/concepts/keywords/terms/with/with.md
@@ -0,0 +1,88 @@
+---
+Title: 'with'
+Description: 'Simplifies resource management by automatically handling setup and teardown actions using context managers.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Files'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`with`** keyword in Python is used to wrap the execution of a block of code within methods defined by a context manager. It simplifies resource management — automatically handling setup and teardown operations like opening and closing files, acquiring and releasing locks, or connecting and disconnecting from databases.
+
+When a block under `with` is executed:
+
+1. The context manager’s `__enter__()` method is called.
+2. The block of code inside the `with` statement runs.
+3. The context manager’s `__exit__()` method is automatically called after the block finishes — even if an error occurs.
+
+## Syntax
+
+```pseudo
+with expression [as variable]:
+  # Code block
+```
+
+**Parameters:**
+
+- `expression`: A context manager that defines `__enter__()` and `__exit__()` methods.
+- `variable` (optional): The object returned by the `__enter__()` method, which can be used inside the code block.
+
+**Return value:**
+
+Returns the object provided by the context manager’s `__enter__()` method, if assigned using `as`.
+
+## Example 1: Managing File Resources
+
+In this example, a file is opened, written to, and automatically closed after the block finishes:
+
+```py
+with open("example.txt", "w") as file:
+  file.write("Hello, World!")
+```
+
+The output of this code is:
+
+```shell
+# (No visible output)
+# The file 'example.txt' is written and automatically closed.
+```
+
+Here the file is automatically opened and closed using `with`. Even if an error occurs while writing, `file.close()` is called automatically.
+
+## Example 2: Using Multiple Context Managers
+
+In this example, two files are managed simultaneously, ensuring both are safely opened and closed:
+
+```py
+with open("input.txt", "r") as infile, open("output.txt", "w") as outfile:
+  data = infile.read()
+  outfile.write(data)
+```
+
+In this example, both files are safely managed, opened at the start, and closed automatically when the block ends.
+
+## Example 3: File Handling with `with`
+
+In this example, data is written to a file and then read back using separate `with` blocks for writing and reading:
+
+```py
+# Writing to a file using 'with'
+with open("demo.txt", "w") as file:
+  file.write("Learning Python 'with' keyword!")
+
+# Reading the same file
+with open("demo.txt", "r") as file:
+  content = file.read()
+print(content)
+```
+
+The expected output is:
+
+```shell
+Learning Python 'with' keyword!
+```

From 9a38fd6e081d20a4c51ee1941fcb186e63765d69 Mon Sep 17 00:00:00 2001
From: Anshu Singh <42216529+Anshusinghh@users.noreply.github.com>
Date: Wed, 22 Oct 2025 17:17:11 +0530
Subject: [PATCH 209/332] Added [Term Entry] Python keywords: await #7736
 (#7762)

* Added [Term Entry] Python keywords: await #7736

* minor fixes with the content

* Update await.md

* Update content/python/concepts/keywords/terms/await/await.md

* Update content/python/concepts/keywords/terms/await/await.md

---------
---
 .../concepts/keywords/terms/await/await.md    | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 content/python/concepts/keywords/terms/await/await.md

diff --git a/content/python/concepts/keywords/terms/await/await.md b/content/python/concepts/keywords/terms/await/await.md
new file mode 100644
index 00000000000..72dbcb611c1
--- /dev/null
+++ b/content/python/concepts/keywords/terms/await/await.md
@@ -0,0 +1,81 @@
+---
+Title: 'await'
+Description: 'Pauses the execution of an asynchronous function until the awaited coroutine, task, or awaitable object finishes.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Async Await'
+  - 'Functions'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`await`** keyword pauses the execution of an asynchronous function until the awaited [coroutine](https://docs.python.org/3/library/asyncio-task.html#id2), task, or awaitable object completes. It lets asynchronous code read and behave more like synchronous code.
+
+## Syntax
+
+```pseudo
+await expression
+```
+
+> **Note:** The `await` keyword can only be used inside an `async` function. Using it outside an async function will raise a `SyntaxError`.
+
+## Example 1
+
+This example pauses execution while waiting for simulated data to be fetched:
+
+```py
+import asyncio
+
+async def fetch_data():
+  print("Fetching data...")
+  await asyncio.sleep(1)
+  print("Data received!")
+  return {"data": 42}
+
+async def main():
+  result = await fetch_data()
+  print("Result:", result)
+
+asyncio.run(main())
+```
+
+Here is the output:
+
+```shell
+Fetching data...
+Data received!
+Result: {'data': 42}
+```
+
+In this example:
+
+- `async` defines an asynchronous function that can contain `await`.
+- `asyncio` provides tools for running asynchronous code, such as event loops, coroutines, and tasks.
+
+## Example 2
+
+This example waits for one second before returning and printing a message:
+
+```py
+import asyncio
+
+async def greet():
+  await asyncio.sleep(1)
+  return "Hello from await!"
+
+async def main():
+  message = await greet()
+  print(message)
+
+asyncio.run(main())
+```
+
+The output of this code is:
+
+```shell
+Hello from await!
+```

From ec0b7c7500f68e510844bd706f5606deb443194f Mon Sep 17 00:00:00 2001
From: Yuval Levental <yhl3051@g.rit.edu>
Date: Wed, 22 Oct 2025 08:34:32 -0400
Subject: [PATCH 210/332] Add .copy() term entry for Python deque (Issue #7757)
 (#7764)

* Add .copy() term entry for Python deque (Issue #7757)

* minor description fixes

---------
---
 .../python/concepts/deque/terms/copy/copy.md  | 109 ++++++++++++++++++
 1 file changed, 109 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/copy/copy.md

diff --git a/content/python/concepts/deque/terms/copy/copy.md b/content/python/concepts/deque/terms/copy/copy.md
new file mode 100644
index 00000000000..907a9ec7def
--- /dev/null
+++ b/content/python/concepts/deque/terms/copy/copy.md
@@ -0,0 +1,109 @@
+---
+Title: '.copy()'
+Description: 'Returns a shallow copy of a deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Deques'
+  - 'Methods'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The `.copy()` [method](https://www.codecademy.com/resources/docs/python/methods) returns a shallow copy of a `deque`.
+
+## Syntax
+
+```pseudo
+copied_deque = original_deque.copy()
+```
+
+**Parameters:**
+
+The `.copy()` method takes no parameters.
+
+**Return value:**
+
+Returns a new deque object that is a shallow copy of the original deque.
+
+## Example 1: Reference copy using assignment
+
+The example shows that assigning one deque to another with `=` creates a reference, not a real copy:
+
+```py
+from collections import deque
+
+deque1 = deque([1, 2, 3, 4])
+deque2 = deque1
+
+print(deque1)
+print(deque2)
+```
+
+The output of this code is:
+
+```shell
+deque([1, 2, 3, 4])
+deque([1, 2, 3, 4])
+```
+
+However, modifications to `deque2` affect `deque1` since both refer to the same object.
+
+## Example 2: Creating a shallow copy
+
+In this example, a separate deque is created using `.copy()`, leaving the original unchanged:
+
+```py
+from collections import deque
+
+orders = deque(['daisies', 'periwinkle'])
+new_orders = orders.copy()
+
+print(new_orders)
+
+# Modify the new deque
+new_orders.append('roses')
+
+print(orders)
+print(new_orders)
+```
+
+The output of this code is:
+
+```shell
+deque(['daisies', 'periwinkle'])
+deque(['daisies', 'periwinkle'])
+deque(['daisies', 'periwinkle', 'roses'])
+```
+
+The original `orders` deque remains unchanged when `new_orders` is modified.
+
+## Codebyte Example
+
+The following example demonstrates the difference between assignment and `.copy()`:
+
+```codebyte/python
+from collections import deque
+
+# Using assignment operator
+original = deque([10, 20, 30])
+reference = original
+
+# Modify through reference
+reference.append(40)
+print(f"Original after reference modification: {original}")
+print(f"Reference: {reference}")
+
+# Using .copy() method
+original2 = deque([10, 20, 30])
+copied = original2.copy()
+
+# Modify the copy
+copied.append(40)
+print(f"Original2 after copy modification: {original2}")
+print(f"Copied: {copied}")
+```

From b18f97acdfdf8bf447993a357644c7b3af6879bc Mon Sep 17 00:00:00 2001
From: Sahil Afrid Farookhi <msafarookhi@gmail.com>
Date: Wed, 22 Oct 2025 08:16:16 -0500
Subject: [PATCH 211/332] add appendleft term (#7777)

* add appendleft term

* added codebyte example

---------
---
 .../deque/terms/appendleft/appendleft.md      | 83 +++++++++++++++++++
 1 file changed, 83 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/appendleft/appendleft.md

diff --git a/content/python/concepts/deque/terms/appendleft/appendleft.md b/content/python/concepts/deque/terms/appendleft/appendleft.md
new file mode 100644
index 00000000000..465c26fee83
--- /dev/null
+++ b/content/python/concepts/deque/terms/appendleft/appendleft.md
@@ -0,0 +1,83 @@
+---
+Title: 'appendleft()'
+Description: 'Adds an element to the left end (front) of the deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Deques'
+  - 'Methods'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`appendleft()`** method adds an element to the left end (front) of a `collections.deque` object. This is useful for managing elements in a queue-like structure, where items are added and removed from opposite ends.
+
+## Syntax
+
+```pseudo
+deque.appendleft(element)
+```
+
+**Parameters:**
+
+- `element`: The item to add to the left end (front) of the deque.
+
+**Return value:**
+
+- `None`. The deque is modified in place.
+
+## Example: Adding elements to the left side of a deque using `appendleft()`
+
+In this example, `appendleft()` adds elements to the left end of a deque, demonstrating how items are prepended to the front:
+
+```py
+from collections import deque
+
+# Create a deque
+my_deque = deque([1, 2, 3])
+print(f"Initial deque: {my_deque}")
+
+# Append an element to the left
+my_deque.appendleft(0)
+print(f"Deque after appendleft(0): {my_deque}")
+
+# Append another element
+my_deque.appendleft(-1)
+print(f"Deque after appendleft(-1): {my_deque}")
+```
+
+The output of this code is:
+
+```shell
+Initial deque: deque([1, 2, 3])
+Deque after appendleft(0): deque([0, 1, 2, 3])
+Deque after appendleft(-1): deque([-1, 0, 1, 2, 3])
+```
+
+## Codebyte Example: Using `appendleft()` for Dynamic Queue Operations
+
+In this example, `appendleft()` is used to add elements to the front of a deque, simulating dynamic queue operations where new items arrive at the front:
+
+```codebyte/python
+from collections import deque
+
+# Initialize a deque with numbers
+numbers = deque([10, 20, 30])
+print("Original deque:", numbers)
+
+# Add elements dynamically to the left
+numbers.appendleft(5)
+numbers.appendleft(0)
+
+print("Deque after dynamic prepend operations:", numbers)
+
+# Access elements to verify positions
+print("First element:", numbers[0])
+print("Second element:", numbers[1])
+print("Last element:", numbers[-1])
+```

From 04cfe63a40704fdf7d31c22f1dc531b867c6c43e Mon Sep 17 00:00:00 2001
From: codecademydev <dev@codecademy.com>
Date: Wed, 22 Oct 2025 16:20:51 +0000
Subject: [PATCH 212/332] =?UTF-8?q?=F0=9F=A4=96=20update=20concept=20of=20?=
 =?UTF-8?q?the=20week?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 bin/concept-of-the-week.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/bin/concept-of-the-week.txt b/bin/concept-of-the-week.txt
index bd22fe8a00f..3718b78a38a 100644
--- a/bin/concept-of-the-week.txt
+++ b/bin/concept-of-the-week.txt
@@ -1 +1 @@
-content/typescript/concepts/interfaces/interfaces.md
\ No newline at end of file
+content/php/concepts/operators/operators.md
\ No newline at end of file

From 420be076d6f4693e231d03a2f95d5ef7e81ac716 Mon Sep 17 00:00:00 2001
From: LasVegas98 <giorgio.jr.nanni@gmail.com>
Date: Thu, 23 Oct 2025 06:58:00 +0100
Subject: [PATCH 213/332] add popleft() entry (#7774)

* add popleft() entry

* minor updates

* Fix formatting of deque.popleft() description

* Update popleft.md

---------
---
 .../concepts/deque/terms/popleft/popleft.md   | 73 +++++++++++++++++++
 1 file changed, 73 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/popleft/popleft.md

diff --git a/content/python/concepts/deque/terms/popleft/popleft.md b/content/python/concepts/deque/terms/popleft/popleft.md
new file mode 100644
index 00000000000..2d13060c96b
--- /dev/null
+++ b/content/python/concepts/deque/terms/popleft/popleft.md
@@ -0,0 +1,73 @@
+---
+Title: '.popleft()'
+Description: 'Removes and returns an element from the left end of a deque object in Python.'
+Subjects:
+  - 'Code Foundations'
+  - 'Data Structures'
+Tags:
+  - 'Collections'
+  - 'Deques'
+  - 'Methods'
+  - 'Queues'
+CatalogContent:
+  - 'learn-python-3'
+  - 'python-data-structures'
+---
+
+The **`deque.popleft()`** method removes and returns the element from the left end (first element) of a `deque` object. A [`deque`](https://www.codecademy.com/resources/docs/python/collections-module/deque) (double-ended queue) allows elements to be added or removed efficiently from both ends. Calling `.popleft()` on an empty deque raises an `IndexError`.
+
+## Syntax
+
+```pseudo
+deque.popleft()
+```
+
+**Parameters:**
+
+The `.popleft()` method does not take any parameters.
+
+**Return value:**
+
+Returns the element removed from the left end of the deque.
+
+## Example
+
+In this example, the first element is removed from the left end of a deque:
+
+```py
+from collections import deque
+
+# Create a deque with several elements
+queue = deque(['apple', 'banana', 'cherry'])
+
+# Remove the leftmost element
+left_item = queue.popleft()
+print("Removed element:", left_item)
+print("Deque after popleft():", queue)
+```
+
+The output of this code is:
+
+```shell
+Removed element: apple
+Deque after popleft(): deque(['banana', 'cherry'])
+```
+
+## Codebyte Example
+
+In this example, a deque is used to simulate a queue of customers. The first customer is served using `.popleft()`:
+
+```codebyte/python
+from collections import deque
+
+# Queue of customers
+customers = deque(["Alice", "Bob", "Charlie", "Diana"])
+
+print("Queue before serving:", list(customers))
+
+# Serve the first customer
+served_customer = customers.popleft()
+print("Serving customer:", served_customer)
+
+print("Queue after serving:", list(customers))
+```

From 2be9fc18592a83070a95ad0f8ce8cffbd7469998 Mon Sep 17 00:00:00 2001
From: RishitModi <modirishit6@gmail.com>
Date: Thu, 23 Oct 2025 11:39:00 +0530
Subject: [PATCH 214/332] Updated term entry for binascii.b2a base64 (#7724)

* Updated term entry for b2a-base64.md

* Updated term entry for b2a-base64.md

* minor fix

* Update content/python/concepts/binascii-module/terms/b2a-base64/b2a-base64.md

* fixed lint and format

---------
---
 .../terms/b2a-base64/b2a-base64.md            | 71 +++++++++++++++++++
 1 file changed, 71 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/b2a-base64/b2a-base64.md

diff --git a/content/python/concepts/binascii-module/terms/b2a-base64/b2a-base64.md b/content/python/concepts/binascii-module/terms/b2a-base64/b2a-base64.md
new file mode 100644
index 00000000000..73f4dfb67e6
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/b2a-base64/b2a-base64.md
@@ -0,0 +1,71 @@
+---
+Title: '.b2a_base64()'
+Description: 'Converts binary data into a Base64-encoded ASCII string.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Encoding'
+  - 'Methods'
+  - 'Strings'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`binascii.b2a_base64()`** function converts binary data into a Base64-encoded ASCII string, making it easier to transmit or store binary content such as images or files in text-based formats.
+
+## Syntax
+
+```pseudo
+binascii.b2a_base64(data, *, newline=True)
+```
+
+**Parameters:**
+
+- `data`: The binary data to encode.
+- `newline` (optional): If set to `False`, omits the trailing newline character. Default is `True`.
+
+**Return value:**
+
+Returns the Base64-encoded version of the input binary data as a bytes object.
+
+## Example
+
+In this example, binary data is encoded into a Base64-encoded bytes object using the default newline setting:
+
+```py
+import binascii
+
+# Original binary data
+binary_data = b'Hello, Hacktoberfest!'
+
+# Encoding with the default newline character
+encoded_data = binascii.b2a_base64(binary_data)
+
+# Printing the encoded data
+print(encoded_data)
+```
+
+The output of this code is:
+
+```shell
+b'SGVsbG8sIEhhY2t0b2JlcmZlc3Qh\n'
+```
+
+> **Note:** If the trailing newline character is not needed, set `newline=False`.
+
+## Codebyte Example
+
+In this example, a short text is converted into its Base64-encoded representation, showing both the original and encoded data:
+
+```codebyte/python
+import binascii
+# The data to be encoded
+data_to_encode = b'Codecademy Docs!'
+# Perform Base64 encoding
+encoded_data = binascii.b2a_base64(data_to_encode)
+# Print the original and encoded data
+print(f"Original: {data_to_encode}")
+print(f"Encoded: {encoded_data}")
+```

From 5839073437d341e07f49891c805a94f2ce2cf1a9 Mon Sep 17 00:00:00 2001
From: Vansh <77244334+vansh2408@users.noreply.github.com>
Date: Fri, 24 Oct 2025 16:13:13 +0530
Subject: [PATCH 215/332] =?UTF-8?q?feat(python):=20add=20term=20entry=20fo?=
 =?UTF-8?q?r=20'from'=20keyword=20with=20syntax,=20examples=E2=80=A6=20(#7?=
 =?UTF-8?q?766)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* feat(python): add term entry for 'from' keyword with syntax, examples, and codebyte (#7741)

* Format fix

* Revise 'from' keyword documentation in Python

Updated the description and examples for the 'from' keyword in Python, enhancing clarity and consistency.

* added backlink

* Update content/python/concepts/keywords/terms/from/from.md

* Update content/python/concepts/keywords/terms/from/from.md

---------
---
 .../concepts/keywords/terms/from/from.md      | 108 ++++++++++++++++++
 1 file changed, 108 insertions(+)
 create mode 100644 content/python/concepts/keywords/terms/from/from.md

diff --git a/content/python/concepts/keywords/terms/from/from.md b/content/python/concepts/keywords/terms/from/from.md
new file mode 100644
index 00000000000..fe6c5fffbd7
--- /dev/null
+++ b/content/python/concepts/keywords/terms/from/from.md
@@ -0,0 +1,108 @@
+---
+Title: 'from'
+Description: 'Used to import specific attributes, classes, or functions from a Python module.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Attributes'
+  - 'Classes'
+  - 'Modules'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`from`** keyword in Python is used to import specific items (such as [functions](https://www.codecademy.com/resources/docs/python/functions), [classes](https://www.codecademy.com/resources/docs/python/classes), or [variables](https://www.codecademy.com/resources/docs/python/variables)) from a module instead of importing the entire module. It helps keep the code cleaner and avoids unnecessary namespace clutter.
+
+For example, instead of importing the entire `math` module, only the required functions can be imported.
+
+## Syntax
+
+```pseudo
+from module_name import name
+```
+
+To import multiple items:
+
+```pseudo
+from module_name import name1, name2, ...
+```
+
+To import all public names from a module (not recommended):
+
+```pseudo
+from module_name import *
+```
+
+In the syntax:
+
+- `module_name`: The name of the module to import from.
+- `name`: The specific object(s) (function, class, or variable) to import.
+- The asterisk (`*`) imports all public objects from the module, which can lead to namespace conflicts and reduced clarity.
+
+## Example 1: Importing a Specific Function
+
+This example demonstrates importing a single function (`sqrt`) from the `math` module:
+
+```py
+from math import sqrt
+
+# Using the imported function directly
+result = sqrt(16)
+print(result)
+```
+
+The output of this code is:
+
+```shell
+4.0
+```
+
+## Example 2: Importing Multiple Functions
+
+This example shows how to import more than one function from the same module:
+
+```py
+from math import ceil, floor
+
+print(ceil(4.2))
+print(floor(4.8))
+```
+
+The output of this code is:
+
+```shell
+5
+4
+```
+
+## Example 3: Using `from` for Relative Imports
+
+The `from` keyword can also be used with relative imports inside packages, such as:
+
+```py
+from . import utils
+from ..helpers import format_data
+```
+
+- Relative imports use dots (`.`) to indicate the current and parent packages.
+- Explicit imports using `from` enhance code readability and prevent unnecessary components from being loaded.
+
+## Codebyte Example
+
+The following example illustrates importing multiple functions (`sqrt`, `pow`) and using them directly in a program:
+
+```codebyte/python
+# Import specific functions from the math module
+from math import sqrt, pow
+
+# Use imported functions directly
+num = 9
+root = sqrt(num)
+power = pow(2, 3)
+
+print("Square root of 9 is:", root)
+print("2 raised to the power 3 is:", power)
+```

From 9f08f3726572750a9f28323e327f48da4c9530c5 Mon Sep 17 00:00:00 2001
From: TukansTucis <84662804+TukansTucis@users.noreply.github.com>
Date: Fri, 24 Oct 2025 13:54:07 +0300
Subject: [PATCH 216/332] Fix formatting of image attributes example (#7818)

---
 content/html/concepts/attributes/attributes.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/html/concepts/attributes/attributes.md b/content/html/concepts/attributes/attributes.md
index 5868d501644..af36f0c95ce 100644
--- a/content/html/concepts/attributes/attributes.md
+++ b/content/html/concepts/attributes/attributes.md
@@ -31,7 +31,7 @@ The syntax for adding attributes to an HTML element is as follows:
 
 ### Image Attributes
 
-Using an [`<img>`](https://www.codecademy.com/resources/docs/html/elements/img) tag, which is commonly used to display images, reveals several attributes, such as 'src`,`width`, and`height`. These attributes exert significant influence over the manner in which the image appears on the web page. For example, when the dimensions of an element are specified, its size will be maintained when rendered by a browser.
+Using an [`<img>`](https://www.codecademy.com/resources/docs/html/elements/img) tag, which is commonly used to display images, reveals several attributes, such as `src`,`width`, and`height`. These attributes exert significant influence over the manner in which the image appears on the web page. For example, when the dimensions of an element are specified, its size will be maintained when rendered by a browser.
 
 ```html
 <img src="source_of_image.png" width="500" height="600" />

From 45195e1ad3e827c52e9a1db280a2859dc369f622 Mon Sep 17 00:00:00 2001
From: Harshit Sharma <work.harshitsharma8899@gmail.com>
Date: Fri, 24 Oct 2025 18:05:52 +0530
Subject: [PATCH 217/332] =?UTF-8?q?docs(python):=20add=20binascii=20.b2a?=
 =?UTF-8?q?=5Fqp()=20term=20with=20syntax,=20example,=20and=20c=E2=80=A6?=
 =?UTF-8?q?=20(#7767)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* docs(python): add binascii .b2a_qp() term with syntax, example, and codebyte

* minor tweaks

* minor tweaks

* Fix formatting of return value section in b2a-qp.md and fixed lint

---------
---
 .../binascii-module/terms/b2a-qp/b2a-qp.md    | 72 +++++++++++++++++++
 1 file changed, 72 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/b2a-qp/b2a-qp.md

diff --git a/content/python/concepts/binascii-module/terms/b2a-qp/b2a-qp.md b/content/python/concepts/binascii-module/terms/b2a-qp/b2a-qp.md
new file mode 100644
index 00000000000..1e6e083f415
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/b2a-qp/b2a-qp.md
@@ -0,0 +1,72 @@
+---
+Title: '.b2a_qp()'
+Description: 'Converts binary data into a bytes object containing its quoted-printable ASCII representation.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Encoding'
+  - 'Functions'
+  - 'Unicode'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.b2a_qp()`** function encodes binary data using the quoted-printable transfer encoding and returns a `bytes` object containing only ASCII characters.
+
+## Syntax
+
+```pseudo
+binascii.b2a_qp(data, quotetabs=false, istext=false, header=false)
+```
+
+**Parameters:**
+
+- `data`: The binary data to encode. Must be a `bytes` or `bytearray` object.
+- `quotetabs` (optional, default = `False`): When `True`, spaces and tabs are always encoded. By default, they’re encoded only when necessary according to the quoted-printable rules.
+- `istext` (optional, default = `False`): When `True`, the input is treated as text and line endings are converted to `\r\n`. When `False`, line endings are not altered.
+- `header` (optional, default = `False`): When `True`, spaces are encoded as underscores, making the output suitable for email headers (RFC 2047 format).
+
+**Return value:**
+
+Returns a bytes object containing the quoted-printable encoded ASCII representation of the input data.
+
+## Example
+
+This example demonstrates encoding binary data containing special characters into quoted-printable ASCII:
+
+```py
+import binascii
+
+# Binary data that includes an equals sign which must be quoted
+binary_data = b"Codecademy = Awesome!\n"
+
+# Encode the binary data to Quoted-Printable ASCII
+encoded = binascii.b2a_qp(binary_data)
+
+print(encoded)
+```
+
+This produces output similar to:
+
+```shell
+b'Codecademy =3D Awesome!=0A'
+```
+
+> **Note:** To decode quoted-printable data back to binary, use `binascii.a2b_qp(data)`.
+
+## Codebyte Example
+
+This example illustrates how `.b2a_qp()` encodes multiple special characters, tabs, and spaces in a bytes object:
+
+```codebyte/python
+import binascii
+
+text = b"Hello = World!\nTabs\tand spaces  "
+
+# Default behavior encodes '=' and any trailing spaces/tabs; newline may be quoted
+encoded_default = binascii.b2a_qp(text)
+
+print(encoded_default)
+```

From e8998c16582330869fccd833ba24110998f45d72 Mon Sep 17 00:00:00 2001
From: Stuart Mosquera <stuartmosquera18@gmail.com>
Date: Fri, 24 Oct 2025 11:51:54 -0300
Subject: [PATCH 218/332] [Term Entry] SQL Math Functions: ROUND()

* create round.md

* added output block for example 1

* Minor changes

---------
---
 .../math-functions/terms/round/round.md       | 74 +++++++++++++++++++
 1 file changed, 74 insertions(+)
 create mode 100644 content/sql/concepts/math-functions/terms/round/round.md

diff --git a/content/sql/concepts/math-functions/terms/round/round.md b/content/sql/concepts/math-functions/terms/round/round.md
new file mode 100644
index 00000000000..24fa80b1795
--- /dev/null
+++ b/content/sql/concepts/math-functions/terms/round/round.md
@@ -0,0 +1,74 @@
+---
+Title: 'ROUND()'
+Description: 'Returns the number rounded to the specified number of decimal places.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'MySQL'
+  - 'PostgreSQL'
+  - 'SQL'
+CatalogContent:
+  - 'learn-sql'
+  - 'paths/analyze-data-with-sql'
+---
+
+The SQL math function **`ROUND()`** returns the number rounded to the given number of decimal places. If no decimal places are provided, the number is rounded without decimals.
+
+> **Note:** In some RDBMS like SQL Server, there may be an optional third parameter to truncate instead of round.
+
+## Syntax
+
+```pseudo
+ROUND(number, decimals)
+```
+
+**Parameters:**
+
+- `number`: The number to be rounded.
+- `decimals` (optional): The total number of decimal places to round to.
+
+**Return value:**
+
+Returns the number rounded to the given number of decimal places.
+
+## Example 1
+
+In this example, the `ROUND()` function is used with a single argument:
+
+```sql
+SELECT ROUND(25.50);
+```
+
+The output this code generates is:
+
+| ROUND(25.50) |
+| ------------ |
+| 26           |
+
+> **Note:** When no decimal places are provided, `ROUND()` returns the nearest integer.
+
+## Example 2
+
+In this example, the following data is given in the `sales` table:
+
+| id  | total   |
+| --- | ------- |
+| 1   | 123.456 |
+| 2   | 987.654 |
+
+The `ROUND()` function is used with the second optional argument `decimals`, setting the number of decimal places to `1`:
+
+```sql
+SELECT id, ROUND(total, 1) AS total_rounded FROM sales;
+```
+
+This SQL statement rounds the total values and puts the results into a column named `total_rounded` using the [`AS`](https://www.codecademy.com/resources/docs/sql/commands/as) keyword.
+
+The output will be:
+
+| id  | total_rounded |
+| --- | ------------- |
+| 1   | 123.5         |
+| 2   | 987.7         |

From 52209adb4a841ac66fd9a87e708e7a36aa366044 Mon Sep 17 00:00:00 2001
From: Alessandro Capialbi <capialbi.alessandro@studenti-ittfedifermi.edu.it>
Date: Fri, 24 Oct 2025 16:56:36 +0200
Subject: [PATCH 219/332] [Term Entry] Python Collections Module: UserString

* docs: init metadata

* docs: brief description

* docs: Syntax and Codebyte example

* fix: indentation

* fix: format:verify

* fix: format:verify

* minor wording fixes

* docs: example and list of parameters

* fix: minor wording fixes

* fix: minor wording fixes

* minor fixes

* Minor changes

---------
---
 .../terms/userstring/userstring.md            | 68 +++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 content/python/concepts/collections-module/terms/userstring/userstring.md

diff --git a/content/python/concepts/collections-module/terms/userstring/userstring.md b/content/python/concepts/collections-module/terms/userstring/userstring.md
new file mode 100644
index 00000000000..0e34f512523
--- /dev/null
+++ b/content/python/concepts/collections-module/terms/userstring/userstring.md
@@ -0,0 +1,68 @@
+---
+Title: 'UserString'
+Description: 'A wrapper class for string objects that makes subclassing easier.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Data Types'
+  - 'Strings'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In Python, a **`UserString`** is a class in the `collections` module. It is a custom wrapper for string objects, behaving like a string but allowing easier subclassing. Unlike directly subclassing `str`, `UserString` stores its content in the `.data` attribute.
+
+> **Note:** While `UserString` behaves like a string and supports the same operations, some methods return a regular `str` instead of another `UserString`.
+
+## Syntax
+
+```pseudo
+myString = collections.UserString(seq)
+```
+
+- `seq`: It can be anything that can be converted into a `str` or `iterable of characters`, like a [list](https://www.codecademy.com/resources/docs/python/lists) or [tuple](https://www.codecademy.com/resources/docs/python/tuples) of individual characters.
+
+Return value:
+
+- A `UserString` instance, which is an object that contains the content derived from `seq`.
+
+## Example
+
+The following example demonstrates the usage of the `UserString` method:
+
+```py
+from collections import UserString
+
+myString = 'First example of a UserString!'
+customString = UserString(myString)
+print(customString.data)
+```
+
+This is the output of the above code:
+
+```shell
+First example of a UserString!
+```
+
+## Codebyte Example
+
+The following example creates a `UserString` and demonstrates its usage more in detail, along with a subclass that removes vowels:
+
+```codebyte/python
+from collections import UserString
+myString = 'Welcome to Codecademy Docs!'
+customString = UserString(myString)
+print(f"My personal UserString: {customString.data}\n")
+print(f"{customString.upper()}\n")
+print(f"Substring of the first word: {customString[0 : 7]}\n")
+
+class NoVowels(UserString):
+  def __init__(self, seq):
+    # Remove vowels from the string
+    super().__init__(''.join(ch for ch in seq if ch.lower() not in "aeiou"))
+
+s = NoVowels("Hello World")
+print(f"Word without any vowels left: {s}")
+```

From 96f4f78a7c07156048528ddfbbbee3a334fdb32f Mon Sep 17 00:00:00 2001
From: Bhaskar Kumar <85205477+Bprs68@users.noreply.github.com>
Date: Fri, 24 Oct 2025 20:41:34 +0530
Subject: [PATCH 220/332] [Term Entry] SQL Math Functions: MOD()

* Add MOD() term entry under SQL math-functions with syntax and examples

* minor wording fixes

* added table for meta data

* Minor changes

---------
---
 .../concepts/math-functions/terms/mod/mod.md  | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/sql/concepts/math-functions/terms/mod/mod.md

diff --git a/content/sql/concepts/math-functions/terms/mod/mod.md b/content/sql/concepts/math-functions/terms/mod/mod.md
new file mode 100644
index 00000000000..3eb0be9e854
--- /dev/null
+++ b/content/sql/concepts/math-functions/terms/mod/mod.md
@@ -0,0 +1,76 @@
+---
+Title: 'MOD()'
+Description: 'Returns the remainder of one number divided by another.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'MySQL'
+  - 'PostgreSQL'
+  - 'SQL'
+CatalogContent:
+  - 'learn-sql'
+  - 'paths/analyze-data-with-sql'
+---
+
+The SQL math function **`MOD()`** returns the remainder after dividing one number by another. This is commonly used to determine if a number is even or odd, or to cycle through values.
+
+> **Note:** The behavior of `MOD()` may vary slightly between SQL dialects. For example, some databases use `%` as an alternative operator.
+
+## Syntax
+
+```pseudo
+MOD(dividend, divisor)
+```
+
+**Parameters:**
+
+- `dividend`: The number to be divided.
+- `divisor`: The number by which to divide.
+
+**Return value:**
+
+Returns the remainder obtained after dividing `dividend` by `divisor`.
+
+## Example 1
+
+This example uses the `MOD()` function to find the remainder of 10 divided by 3:
+
+```sql
+SELECT MOD(10, 3);
+```
+
+The output of this code is:
+
+```shell
+1
+```
+
+## Example 2
+
+Given a table `numbers`:
+
+| id  | value |
+| --- | ----- |
+| 1   | 7     |
+| 2   | 12    |
+| 3   | 15    |
+
+This query uses `MOD()` to check which values are even:
+
+```sql
+SELECT id, value, MOD(value, 2) AS remainder FROM numbers;
+```
+
+The output will be:
+
+```shell
+| id | value | remainder |
+|----|-------|-----------|
+| 1  | 7     | 1         |
+| 2  | 12    | 0         |
+| 3  | 15    | 1         |
+```
+
+Here, a remainder of `0` indicates an even number.

From 8ef916807493c6362336d5b098163ab4a6ecf673 Mon Sep 17 00:00:00 2001
From: arisdelacruz <115809819+arisdelacruz@users.noreply.github.com>
Date: Fri, 24 Oct 2025 23:18:03 +0800
Subject: [PATCH 221/332] [Term Entry] Python Collections Module: UserDict

* Create userdict entry for python

* added separate output blocks

* Update userdict.md

* Minor changes

---------
---
 .../terms/userdict/userdict.md                | 160 ++++++++++++++++++
 1 file changed, 160 insertions(+)
 create mode 100644 content/python/concepts/collections-module/terms/userdict/userdict.md

diff --git a/content/python/concepts/collections-module/terms/userdict/userdict.md b/content/python/concepts/collections-module/terms/userdict/userdict.md
new file mode 100644
index 00000000000..1e9aac77409
--- /dev/null
+++ b/content/python/concepts/collections-module/terms/userdict/userdict.md
@@ -0,0 +1,160 @@
+---
+Title: 'UserDict'
+Description: 'A wrapper class from collections that allows creating customized dictionary-like objects by subclassing it instead of dict.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Classes'
+  - 'Dictionary'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In Python, **`UserDict`** is a class in the `collections` module that provides a wrapper around [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) objects. It allows creating custom dictionary-like classes by extending `UserDict` and overriding its methods, making it useful for building specialized dictionaries with additional functionality or behavior.
+
+## Syntax
+
+```pseudo
+collections.UserDict([initialdata])
+```
+
+**Parameters:**
+
+- `initialdata`: The `UserDict` constructor can take an optional dictionary or mapping object to initialize the data.
+
+**Return value:**
+
+Returns a dictionary-like object that can be subclassed to customize behavior.
+
+## Example 1: Subclassing `UserDict`
+
+In this example, a custom class is created by subclassing `UserDict` and overriding common dictionary methods. This shows how to extend and customize dictionary behavior:
+
+```py
+from collections import UserDict
+
+class MyUserDict(UserDict):
+  def __setitem__(self, key, value):
+    print(f"Setting {key} = {value}")
+    super().__setitem__(key, value)
+
+  def __getitem__(self, key):
+    print(f"Getting {key}")
+    return super().__getitem__(key)
+
+d = MyUserDict()
+d["x"] = 42
+print(d["x"])
+```
+
+The output is:
+
+```shell
+Setting x = 42
+Getting x
+42
+```
+
+## Example 2: Basic Wrapper Usage
+
+In this example, `UserDict` is used directly to wrap a dictionary. The `.data` attribute exposes the underlying dictionary object:
+
+```py
+from collections import UserDict
+
+d = UserDict({"a": 1})
+d["b"] = 2
+print(d)
+print(d.data)
+```
+
+The output is:
+
+```shell
+UserDict({'a': 1, 'b': 2})
+{'a': 1, 'b': 2}
+```
+
+## Example 3: Logging on Set/Delete
+
+In this example, dictionary modifications are logged by overriding `__setitem__` and `__delitem__`:
+
+```py
+from collections import UserDict
+
+class LoggingDict(UserDict):
+  def __setitem__(self, key, value):
+    print(f"SET {key!r} = {value!r}")
+    super().__setitem__(key, value)
+
+  def __delitem__(self, key):
+    print(f"DEL {key!r}")
+    super().__delitem__(key)
+
+d = LoggingDict()
+d["name"] = "Aris"
+del d["name"]
+```
+
+The output is:
+
+```shell
+SET 'name' = 'Aris'
+DEL 'name'
+```
+
+## Example 4: Case-Insensitive Keys
+
+In this example, keys are treated case-insensitively by normalizing them to lowercase before storing or retrieving:
+
+```py
+from collections import UserDict
+
+class CaseInsensitiveDict(UserDict):
+  def _key(self, key):
+    return key.lower() if isinstance(key, str) else key
+
+  def __setitem__(self, key, value):
+    super().__setitem__(self._key(key), value)
+
+  def __getitem__(self, key):
+    return super().__getitem__(self._key(key))
+
+d = CaseInsensitiveDict()
+d["Name"] = "Mamta"
+print(d["name"])
+print(d["NAME"])
+```
+
+The output is:
+
+```shell
+Mamta
+Mamta
+```
+
+## Codebyte Example: Default-Like Behavior
+
+In this example, a default factory is added, similar to `collections.defaultdict()`, so missing keys automatically get initialized:
+
+```codebyte/python
+from collections import UserDict
+
+class DefaultUserDict(UserDict):
+  def __init__(self, default_factory=None, *args, **kwargs):
+    super().__init__(*args, **kwargs)
+    self.default_factory = default_factory
+
+  def __missing__(self, key):
+    if self.default_factory is None:
+      raise KeyError(key)
+    self[key] = self.default_factory()
+    return self[key]
+
+d = DefaultUserDict(list)
+d["a"].append(10)
+print(d)
+```

From b9b7a02240a6bf3a29f4642091648deab65e4967 Mon Sep 17 00:00:00 2001
From: Stuart Mosquera <stuartmosquera18@gmail.com>
Date: Fri, 24 Oct 2025 12:27:01 -0300
Subject: [PATCH 222/332] [Term Entry] SQL Math Functions: PI()

* create pi.md

* add backticks to additional terms

* minor tweaks

* Minor changes

---------
---
 .../concepts/math-functions/terms/pi/pi.md    | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/sql/concepts/math-functions/terms/pi/pi.md

diff --git a/content/sql/concepts/math-functions/terms/pi/pi.md b/content/sql/concepts/math-functions/terms/pi/pi.md
new file mode 100644
index 00000000000..e0708ba6083
--- /dev/null
+++ b/content/sql/concepts/math-functions/terms/pi/pi.md
@@ -0,0 +1,76 @@
+---
+Title: 'PI()'
+Description: 'Returns the mathematical constant π (PI).'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'MySQL'
+  - 'PostgreSQL'
+  - 'SQL'
+CatalogContent:
+  - 'learn-sql'
+  - 'paths/analyze-data-with-sql'
+---
+
+The SQL math function **`PI()`** is used to return the mathematical constant π (PI), which is approximately 3.14. PI is a fundamental constant in mathematics, particularly in geometry, where it's used to calculate properties of circles and spheres.
+
+## Syntax
+
+```pseudo
+PI()
+```
+
+**Parameters:**
+
+The `PI()` function does not take any parameters.
+
+**Return value:**
+
+Returns the mathematical constant π (PI).
+
+## Example 1
+
+In this example, the PI value is returned using the `PI()` function:
+
+```sql
+SELECT PI() AS pi_value;
+```
+
+The [`AS`](https://www.codecademy.com/resources/docs/sql/commands/as) keyword is used to name the resulting column `pi_value` in the output:
+
+| pi_value          |
+| ----------------- |
+| 3.141592653589793 |
+
+## Example 2
+
+In this example, the following data is given in the `circles` table:
+
+| id  | radius |
+| --- | ------ |
+| 1   | 5.00   |
+| 2   | 10.00  |
+| 3   | 15.00  |
+| 4   | 7.50   |
+
+The `PI()` function is used to perform the calculation of the area of each circle:
+
+```sql
+SELECT id, radio, PI() * POWER(radius, 2) AS circle_area
+FROM circles;
+```
+
+In this SQL statement, the value of PI is multiplied by the result of squaring the radius (`radius`) using the [`POWER()`](https://www.codecademy.com/resources/docs/sql/math-functions/power) function to calculate the `circle_area`.
+
+The output will be:
+
+| id  | radius | circle_area |
+| --- | ------ | ----------- |
+| 1   | 5.00   | 78.54       |
+| 2   | 10.00  | 314.16      |
+| 3   | 15.00  | 706.86      |
+| 4   | 7.50   | 176.71      |
+
+> **Note:** Values are rounded to 2 decimal places for readability.

From 53374fc1391d182f77808a3d97951574aa63fae5 Mon Sep 17 00:00:00 2001
From: codecademydev <dev@codecademy.com>
Date: Sun, 26 Oct 2025 13:11:02 +0000
Subject: [PATCH 223/332] =?UTF-8?q?=F0=9F=A4=96=20update=20concept=20of=20?=
 =?UTF-8?q?the=20week?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 bin/concept-of-the-week.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/bin/concept-of-the-week.txt b/bin/concept-of-the-week.txt
index 3718b78a38a..87fd518894c 100644
--- a/bin/concept-of-the-week.txt
+++ b/bin/concept-of-the-week.txt
@@ -1 +1 @@
-content/php/concepts/operators/operators.md
\ No newline at end of file
+content/sklearn/concepts/probability-calibration/probability-calibration.md
\ No newline at end of file

From 77ffa0d4f6ec4d554482e2e38f710773306b501c Mon Sep 17 00:00:00 2001
From: Aaravthk <86779841+Aaravthk@users.noreply.github.com>
Date: Tue, 28 Oct 2025 12:29:45 +0700
Subject: [PATCH 224/332] Added pop.md (#7770)

* Added pop.md

* minor content fix, error in codebyte fixed

* Improve formatting in pop.md documentation

Updated formatting for parameters, return value, and exceptions sections.
---
 .../python/concepts/deque/terms/pop/pop.md    | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/pop/pop.md

diff --git a/content/python/concepts/deque/terms/pop/pop.md b/content/python/concepts/deque/terms/pop/pop.md
new file mode 100644
index 00000000000..80971cddde5
--- /dev/null
+++ b/content/python/concepts/deque/terms/pop/pop.md
@@ -0,0 +1,81 @@
+---
+Title: '.pop()'
+Description: 'Removes and returns element from the right end of the deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Algorithms'
+  - 'Collections'
+  - 'Data Structures'
+  - 'Deques'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`deque.pop()`** method removes and returns an element from the right end of a deque. Removing an element from either end of a deque occurs in O(1) time.
+
+## Syntax
+
+```pseudo
+deque.pop()
+```
+
+**Parameters:**
+
+This method does not take any parameters.
+
+**Return value:**
+
+Returns the element that was removed from the right end of the deque.
+
+**Exceptions:**
+
+- `IndexError`: Raised if the deque is empty when `.pop()` is called.
+
+## Example
+
+In this example, a single element is removed from the right end of the deque using `.pop()`:
+
+```py
+from collections import deque
+
+# Create a deque
+dq = deque([10, 20, 30, 40])
+
+# Remove and return the rightmost element
+item = dq.pop()
+print("Removed element:", item)
+print("Deque after pop:", dq)
+```
+
+This example results in the following output
+
+```shell
+Removed element: 40
+Deque after pop: deque([10, 20, 30])
+```
+
+## Codebyte Example: Popping the two rightmost elements
+
+In this example, elements are removed from the right end of a deque one by one using `.pop()`:
+
+```codebyte/python
+from collections import deque
+
+# Create a deque with some numbers
+numbers = deque([1, 2, 3, 4, 5])
+
+print("Initial deque:", numbers)
+
+# Remove elements one by one from the right
+last_item = numbers.pop()
+print("Popped element:", last_item)
+print("Deque after first pop:", numbers)
+
+# Pop again
+another_item = numbers.pop()
+print("Popped another element:", another_item)
+print("Final deque:", numbers)
+```

From 5ce855c1b8d95926a4a882332e0dea17ab7e4799 Mon Sep 17 00:00:00 2001
From: Simeon Fadahunsi <adedayosimeon@gmail.com>
Date: Tue, 28 Oct 2025 06:47:29 +0100
Subject: [PATCH 225/332] [Term Entry] C++ Deque: swap() (#7713)

* Add Cpp swap() deque method

* minor fixes in the codes

* Update swap.md

* format fix

---------
---
 content/cpp/concepts/deque/terms/swap/swap.md | 110 ++++++++++++++++++
 1 file changed, 110 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/swap/swap.md

diff --git a/content/cpp/concepts/deque/terms/swap/swap.md b/content/cpp/concepts/deque/terms/swap/swap.md
new file mode 100644
index 00000000000..565ffdb3aba
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/swap/swap.md
@@ -0,0 +1,110 @@
+---
+Title: '.swap()'
+Description: 'Exchanges the contents of one deque with another of the same type and size.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Classes'
+  - 'Containers'
+  - 'Deques'
+  - 'Data Structures'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`.swap()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) exchanges the contents of one [`deque`](https://www.codecademy.com/resources/docs/cpp/deque) with another deque of the same type. After the swap, each deque holds the elements that were originally in the other.
+
+## Syntax
+
+```pseudo
+deque1.swap(deque2);
+```
+
+**Parameters:**
+
+- `deque2`: The deque whose contents will be exchanged with `deque1`.
+
+**Return value:**
+
+This method does not return a value.
+
+## Example
+
+This example demonstrates swapping the contents of two integer deques using `.swap()`:
+
+```cpp
+#include <iostream>
+#include <deque>
+using namespace std;
+
+int main() {
+  deque<int> deque1 = {1, 2, 3};
+  deque<int> deque2 = {10, 20, 30, 40};
+
+  cout << "Before swap:" << endl;
+  cout << "Deque 1: ";
+  for (int num : deque1) cout << num << " ";
+  cout << endl;
+
+  cout << "Deque 2: ";
+  for (int num : deque2) cout << num << " ";
+  cout << endl;
+
+  deque1.swap(deque2);
+
+  cout << "\nAfter swap:" << endl;
+  cout << "Deque 1: ";
+  for (int num : deque1) cout << num << " ";
+  cout << endl;
+
+  cout << "Deque 2: ";
+  for (int num : deque2) cout << num << " ";
+  cout << endl;
+
+  return 0;
+}
+```
+
+The output of this code is:
+
+```shell
+Before swap:
+Deque 1: 1 2 3
+Deque 2: 10 20 30 40
+
+After swap:
+Deque 1: 10 20 30 40
+Deque 2: 1 2 3
+```
+
+## Codebyte Example
+
+This example swaps the contents of two deques containing strings:
+
+```codebyte/cpp
+#include <iostream>
+#include <deque>
+#include <string>
+using namespace std;
+
+int main() {
+  deque<string> dequeA = {"apple", "banana"};
+  deque<string> dequeB = {"cherry", "date"};
+
+  cout << "Before swap:" << endl;
+  cout << "Deque A:";
+  for (const auto& value : dequeA) cout << ' ' << value;
+  cout << "\nDeque B:";
+  for (const auto& value : dequeB) cout << ' ' << value;
+
+  dequeA.swap(dequeB);
+
+  cout << "\n\nAfter swap:" << endl;
+  cout << "Deque A:";
+  for (const auto& value : dequeA) cout << ' ' << value;
+  cout << "\nDeque B:";
+  for (const auto& value : dequeB) cout << ' ' << value;
+}
+```

From f00cd635251864bda0e5f18f3372aed00dd17cf0 Mon Sep 17 00:00:00 2001
From: Yuval Levental <yhl3051@g.rit.edu>
Date: Tue, 28 Oct 2025 01:57:50 -0400
Subject: [PATCH 226/332] Add .i0() term entry for PyTorch Tensor Operations
 (Issue #7790) (#7845)

* Add .i0() term entry for PyTorch Tensor Operations (Issue #7790)

* Improve documentation for the .i0() function

Updated the description and syntax for the .i0() function, including parameters and return value. Added examples to illustrate its usage.

* using pseudo for syntax

* Fixing typo and other minor issues

* Removed the codebyte due to compiler error

---------
---
 .../concepts/tensor-operations/terms/i0/i0.md | 64 +++++++++++++++++++
 1 file changed, 64 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/i0/i0.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/i0/i0.md b/content/pytorch/concepts/tensor-operations/terms/i0/i0.md
new file mode 100644
index 00000000000..c07a4521ca5
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/i0/i0.md
@@ -0,0 +1,64 @@
+---
+Title: '.i0()'
+Description: 'Computes the modified Bessel function of the first kind of order zero.'
+Subjects:
+  - 'AI'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'AI'
+  - 'Deep Learning'
+  - 'Functions'
+  - 'Machine Learning'
+  - 'PyTorch'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.i0()`** function (an alias of `torch.special.i0()`) computes the modified Bessel function of the first kind of order zero (I₀). This function is commonly used in signal processing, physics simulations, and statistical distributions such as the von Mises distribution for circular data.
+
+## Syntax
+
+```pseudo
+torch.i0(input, *, out=None)
+```
+
+Or, alternatively:
+
+```pseudo
+torch.special.i0(input, *, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor whose elements are the values at which to compute the modified Bessel function I₀.
+- `out` (Tensor, optional): The output tensor to store the result.
+
+**Return value:**
+
+Returns a tensor containing the computed modified Bessel function of the first kind, order zero (I₀), for each element of the input tensor.
+
+## Example
+
+In this example, `torch.i0()` calculates the modified Bessel function I₀ for each element in a 1D tensor:
+
+```py
+import torch
+
+# Create input tensor
+x = torch.tensor([0.0, 1.0, 2.0, 3.0, 4.0])
+
+# Compute the modified Bessel function
+result = torch.i0(x)
+
+print("Input values:", x)
+print("I₀(x) values:", result)
+```
+
+The above code produces the following output:
+
+```shell
+Input values: tensor([0., 1., 2., 3., 4.])
+I₀(x) values: tensor([1.0000, 1.2661, 2.2796, 4.8808, 11.3019])
+```

From a07aeb5dcb1b6e7b8412ac0ebb3a44bc586dc039 Mon Sep 17 00:00:00 2001
From: jjwheatley <61948277+jjwheatley@users.noreply.github.com>
Date: Tue, 28 Oct 2025 07:07:06 +0100
Subject: [PATCH 227/332] [Term Entry] C++ Deque : shrink_to_fit() (#7842)

* [Term Entry] C++ Deque : shrink_to_fit()

* Update documentation for shrink_to_fit method

Clarify parameters and return value for shrink_to_fit method.

* Update shrink-to-fit.md

* Update shrink-to-fit.md

---------
---
 .../terms/shrink-to-fit/shrink-to-fit.md      | 118 ++++++++++++++++++
 1 file changed, 118 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/shrink-to-fit/shrink-to-fit.md

diff --git a/content/cpp/concepts/deque/terms/shrink-to-fit/shrink-to-fit.md b/content/cpp/concepts/deque/terms/shrink-to-fit/shrink-to-fit.md
new file mode 100644
index 00000000000..c663d635935
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/shrink-to-fit/shrink-to-fit.md
@@ -0,0 +1,118 @@
+---
+Title: '.shrink_to_fit()'
+Description: 'Requests the deque to reduce its capacity to match its size.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Containers'
+  - 'Deques'
+  - 'OOP'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.shrink_to_fit()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) requests the [deque](https://www.codecademy.com/resources/docs/python/deque) to reduce its capacity to match its size. This can help free up unused memory, but does not guarantee that the container will actually shrink. The implementation may choose to ignore this request.
+
+## Syntax
+
+```pseudo
+dequeName.shrink_to_fit();
+```
+
+**Parameters:**
+
+This method does not take any parameters.
+
+**Return value:**
+
+This method does not return a value, it simply requests that the deque reduce its capacity.
+
+## Example
+
+The example below showcases the use of the `.shrink_to_fit()` method:
+
+```cpp
+#include <iostream>
+#include <deque>
+
+int main() {
+  // Create a deque of integers
+  std::deque<int> numbers;
+
+  // Add elements to the deque
+  for (int i = 0; i < 100; ++i) {
+    numbers.push_back(i);
+  }
+
+  std::cout << "Size: " << numbers.size() << std::endl;
+
+  // Remove many elements
+  while (numbers.size() > 10) {
+    numbers.pop_back();
+  }
+
+  std::cout << "Size after removal: " << numbers.size() << std::endl;
+
+  // Request to shrink capacity
+  numbers.shrink_to_fit();
+
+  // Display the elements
+  std::cout << "Final deque contents: ";
+  for (int num : numbers) {
+    std::cout << num << " ";
+  }
+
+  std::cout << std::endl;
+
+  return 0;
+}
+```
+
+The above code generates the following output:
+
+```shell
+Size: 100
+Size after removal: 10
+Final deque contents: 0 1 2 3 4 5 6 7 8 9
+```
+
+## Codebyte Example
+
+The following codebyte demonstrates the use of the `.shrink_to_fit()` method after removing elements from the deque:
+
+```codebyte/cpp
+#include <iostream>
+#include <deque>
+#include <string>
+
+int main() {
+  std::deque<std::string> myDeque;
+
+  myDeque.push_back("Apple");
+  myDeque.push_back("Banana");
+  myDeque.push_back("Cherry");
+  myDeque.push_back("Date");
+  myDeque.push_back("Elderberry");
+
+  std::cout << "Original size: " << myDeque.size() << std::endl;
+
+  // Remove some elements
+  myDeque.pop_back();
+  myDeque.pop_back();
+  myDeque.pop_back();
+
+  std::cout << "After removal: " << myDeque.size() << std::endl;
+
+  // Request to shrink capacity
+  myDeque.shrink_to_fit();
+
+  std::cout << "Final contents:";
+  for (const auto& value : myDeque) {
+    std::cout << ' ' << value;
+  }
+  std::cout << std::endl;
+}
+```

From 527652258e46e7f5ab2c5b40c0a0ebf0e1946fd2 Mon Sep 17 00:00:00 2001
From: Gus <gustav.maenpaa@gmail.com>
Date: Tue, 28 Oct 2025 16:35:44 +0900
Subject: [PATCH 228/332] [Term Entry] PyTorch Tensor Operations: .mul()
 (#7843)

* added mul() markdown

* yarn format fix for mul.md

* removed uneccesary sentence in mul.md

* Clarify .mul() function description and syntax

Updated the description of the .mul() function for clarity and improved the syntax formatting.

* Update mul.md

---------
---
 .../tensor-operations/terms/mul/mul.md        | 103 ++++++++++++++++++
 1 file changed, 103 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/mul/mul.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/mul/mul.md b/content/pytorch/concepts/tensor-operations/terms/mul/mul.md
new file mode 100644
index 00000000000..1e3dd2bc5d0
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/mul/mul.md
@@ -0,0 +1,103 @@
+---
+Title: '.mul()'
+Description: 'Performs element-wise multiplication of two tensors or multiplies a tensor by a scalar.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Deep Learning'
+  - 'PyTorch'
+  - 'Tensors'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/machine-learning'
+---
+
+The **`.mul()`** function multiplies each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) with another tensor or a scalar and returns a tensor of the same shape as the input (or broadcasted shape when inputs have different shapes).
+
+## Syntax
+
+```pseudo
+torch.mul(input, other, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): Input tensor.
+- `other` (Tensor or Integer): The second input can be another tensor or a scalar value.
+- `out` (Tensor, optional): Optional tensor to store the output.
+
+**Return value:**
+
+Returns a new tensor containing the result of the operation, or modifies the `out` tensor if provided.
+
+## Example 1: Applying `.mul()` with a 1D tensor and a scalar
+
+In this example, `.mul()` multiplies a 1D tensor and a scalar:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([1, 2, 3])
+
+# Multiply by scalar
+result = torch.mul(x, 2)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([2, 4, 6])
+```
+
+## Example 2: Using `.mul()` with two 1D tensors
+
+In this example, `.mul()` multiplies each element in a 1D tensor with another 1D tensor:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([1.0, 2.0, 3.0])
+# Create a second tensor
+y = torch.tensor([4.0, 5.0, 6.0])
+
+# Multiply by tensor
+result = torch.mul(x, y)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([ 4., 10., 18.])
+```
+
+## Example 3: Using `.mul()` with a 2D tensor and a 1D tensor
+
+In this example, `.mul()` multiplies a 2D tensor with a 1D tensor using broadcasting:
+
+```py
+import torch
+
+# Create a 2x3 tensor
+x = torch.tensor([[1.0, 2.5, 3.0],[4.0, 5.0, 6.5]])
+# Create a second tensor
+y = torch.tensor([7.0, 8.0, 9.1])
+
+# Multiply by tensor
+result = torch.mul(x, y)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([[ 7.0000, 20.0000, 27.3000],
+        [28.0000, 40.0000, 59.1500]])
+```

From ea7f33f6c6c8579349c52f81818f1889da7a304b Mon Sep 17 00:00:00 2001
From: Stuart Mosquera <stuartmosquera18@gmail.com>
Date: Tue, 28 Oct 2025 05:14:31 -0300
Subject: [PATCH 229/332] [Term Entry] JavaScript Map: keys() (#7712)

* create keys.md

* minor fixes

* Update content/javascript/concepts/map/terms/keys/keys.md

---------
---
 .../concepts/map/terms/keys/keys.md           | 101 ++++++++++++++++++
 1 file changed, 101 insertions(+)
 create mode 100644 content/javascript/concepts/map/terms/keys/keys.md

diff --git a/content/javascript/concepts/map/terms/keys/keys.md b/content/javascript/concepts/map/terms/keys/keys.md
new file mode 100644
index 00000000000..82c3fc63c3d
--- /dev/null
+++ b/content/javascript/concepts/map/terms/keys/keys.md
@@ -0,0 +1,101 @@
+---
+Title: '.keys()'
+Description: 'Returns a new map iterator object that contains the keys of each element in the map.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Map'
+  - 'Object'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`.keys()`** method returns a new map [iterator](https://www.codecademy.com/resources/docs/javascript/iterators) object containing the keys of each element in the map, respecting the insertion order. This method enables explicit iteration using a `for...of` loop or the iterator's `.next()` method.
+
+> **Note:** The iterable returned by `.keys()` is _not reusable_. Once it has been fully consumed (i.e., all elements have been iterated over), it becomes exhausted. To iterate again, a new iterator must be created by calling `.keys()` again on the map.
+
+## Syntax
+
+```pseudo
+map.keys();
+```
+
+**Parameters:**
+
+The `.keys()` method does not take any parameters.
+
+**Return value:**
+
+Returns a new map iterator object containing the keys of each element in the map, in order.
+
+## Example 1: Printing Each Key
+
+This example uses a `for...of` loop to iterate over the iterable object returned by `.keys()` and prints the keys of the `ratings` map:
+
+```js
+const ratings = new Map();
+
+ratings.set(1, 'Bad');
+ratings.set(5, 'Medium');
+ratings.set(10, 'Excellent');
+
+const iterator = ratings.keys();
+
+for (const key of iterator) {
+  console.log(key);
+}
+```
+
+The code will produce this output:
+
+```shell
+1
+5
+10
+```
+
+## Example 2: Getting the Values
+
+In this example, the keys are saved in the `numsKeys` array, and the map's [`.get()`](https://www.codecademy.com/resources/docs/javascript/map/get) method is used to retrieve and print each value:
+
+```js
+const nums = new Map([
+  [2, 'Two'],
+  [4, 'Four'],
+  [6, 'Six'],
+  [8, 'Eight'],
+]);
+
+const numsKeys = Array.from(nums.keys());
+
+numsKeys.forEach((key) => console.log(nums.get(key)));
+```
+
+The code will produce this output:
+
+```shell
+Two
+Four
+Six
+Eight
+```
+
+## Codebyte Example
+
+This example uses the `.next()` method to manually iterate through the keys ​​and print them to the console:
+
+```codebyte/javascript
+const map = new Map();
+
+map.set(1, 'One');
+map.set(true, 'True');
+map.set({ id: 1 }, 'Object');
+
+const iterator = map.keys();
+
+console.log(iterator.next().value);
+console.log(iterator.next().value);
+console.log(iterator.next().value);
+```

From d2427898396526682f7ad4e9ee47c46bf09df1b3 Mon Sep 17 00:00:00 2001
From: SRIKARTIK MATETI <matetikartik1999@gmail.com>
Date: Tue, 28 Oct 2025 13:47:18 +0530
Subject: [PATCH 230/332] [Term Entry] Python - Pandas groupBy: prod() (#7711)

* Adding groupby.prod

* Adding groupby.prod

* minor fixes

* Update prod.md

* Update content/pandas/concepts/groupby/terms/prod/prod.md

* Update content/pandas/concepts/groupby/terms/prod/prod.md

---------
---
 .../concepts/groupby/terms/prod/prod.md       | 91 +++++++++++++++++++
 1 file changed, 91 insertions(+)
 create mode 100644 content/pandas/concepts/groupby/terms/prod/prod.md

diff --git a/content/pandas/concepts/groupby/terms/prod/prod.md b/content/pandas/concepts/groupby/terms/prod/prod.md
new file mode 100644
index 00000000000..ee858b04e29
--- /dev/null
+++ b/content/pandas/concepts/groupby/terms/prod/prod.md
@@ -0,0 +1,91 @@
+---
+Title: '.prod()'
+Description: 'Produces a new Series or DataFrame by computing the product of the values within the group.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Data Structures'
+  - 'Pandas'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.prod()`** method produces a new `Series` or [`DataFrame`](https://www.codecademy.com/resources/docs/pandas/dataframe) with the product of the values in a [`GroupBy`](https://www.codecademy.com/resources/docs/pandas/groupby) object.
+
+## Syntax
+
+```pseudo
+groupbyobject.prod(numeric_only=False, min_count=0)
+```
+
+**Parameters:**
+
+- `numeric_only`: If `True`, non-numeric columns are excluded. If `False`, attempts to include all columns (non-numeric columns are ignored in computation).
+- `min_count`: If the number of valid (non-NA) entries in a group is less than `min_count`, the result for that group is `NaN`.
+
+**Return value:**
+
+Returns a `DataFrame` (or `Series` if applied on a SeriesGroupBy object) containing the product of each numeric column for each group.
+
+## Example
+
+The following example produces a `GroupBy` object from a `DataFrame` and executes the `.prod()` method on it:
+
+```py
+import pandas as pd
+
+df = pd.DataFrame({
+    'Key' : ['A', 'A', 'B', 'B', 'C', 'C','D'],
+    'Value1' : [2, 3, 4, 5, 6, 9, 10],
+    'Value2' : [10, 5, 2, 3, 4, 2, 11]
+})
+print(df, end='\n\n')
+
+group_prod = df.groupby('Key').prod()
+
+print(group_prod)
+```
+
+This example produces the following output:
+
+```shell
+  Key  Value1  Value2
+0   A       2      10
+1   A       3       5
+2   B       4       2
+3   B       5       3
+4   C       6       4
+5   C       9       2
+6   D      10      11
+
+     Value1  Value2
+Key
+A          6      50
+B         20       6
+C         54       8
+D         10      11
+```
+
+## Codebyte Example
+
+This example computes the product of all prices and the product of all quantities within each category:
+
+```codebyte/python
+import pandas as pd
+
+# Sample sales data
+df = pd.DataFrame({
+    'Category': ['Electronics', 'Electronics', 'Clothing', 'Clothing', 'Books'],
+    'Price': [200, 150, 50, 30, 20],
+    'Quantity': [2, 3, 4, 5, 10]
+})
+
+print("Original DataFrame:\n", df, end='\n\n')
+
+# Group by Category and compute the product of numeric columns
+category_prod = df.groupby('Category').prod()
+
+print("Grouped product:\n", category_prod)
+```

From 3b0ccf098067db05988740a45c32fedc1e855c0b Mon Sep 17 00:00:00 2001
From: rdev0 <80227359+rdev0-c@users.noreply.github.com>
Date: Tue, 28 Oct 2025 10:22:47 +0200
Subject: [PATCH 231/332] [Concept Entry] Cloud Storage (#7130)

* cloud storage concept

* Update content/cloud-computing/concepts/cloud-storage/cloud-storage.md

* Update cloud-storage.md

* Update content/cloud-computing/concepts/cloud-storage/cloud-storage.md

* Update content/cloud-computing/concepts/cloud-storage/cloud-storage.md

* Update content/cloud-computing/concepts/cloud-storage/cloud-storage.md

* Lint

---------
---
 .../concepts/cloud-storage/cloud-storage.md   | 46 +++++++++++++++++++
 1 file changed, 46 insertions(+)
 create mode 100644 content/cloud-computing/concepts/cloud-storage/cloud-storage.md

diff --git a/content/cloud-computing/concepts/cloud-storage/cloud-storage.md b/content/cloud-computing/concepts/cloud-storage/cloud-storage.md
new file mode 100644
index 00000000000..d36f691da64
--- /dev/null
+++ b/content/cloud-computing/concepts/cloud-storage/cloud-storage.md
@@ -0,0 +1,46 @@
+---
+Title: 'Cloud Storage'
+Description: 'A service that allows users to store and access data remotely over the internet.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Cloud Computing'
+  - 'Storage'
+  - 'Data'
+  - 'Infrastructure'
+CatalogContent:
+  - 'foundations-of-cloud-computing'
+  - 'paths/back-end-engineer-career-path'
+---
+
+**Cloud storage** provides on-demand storage services over the internet, eliminating the need for physical storage infrastructure. Users can store, access, and manage data remotely through cloud providers, paying only for the storage they use.
+
+## Object storage
+
+Designed for storing large amounts of unstructured data. Data is stored as objects with metadata and unique identifiers. Object storage is highly scalable and commonly used for:
+
+- Backup and archival data
+- Media files (images, videos, audio)
+- Web content and static assets
+- Big data analytics
+
+## Block storage
+
+Provides raw storage volumes that can be attached to virtual machines. Data is stored in fixed-size blocks and is ideal for:
+
+- Operating system storage
+- Database storage
+- High-performance applications
+- Applications requiring low latency
+
+## File storage
+
+Shared file systems that can be accessed by multiple users and applications. It organizes data in a hierarchical structure and is suitable for:
+
+- Shared document storage
+- Application data that requires file system access
+- Content management systems
+- Collaborative work environments
+
+All major cloud providers offer services across these three storage categories, each optimized for different performance requirements and use cases.

From fc8ea00906af86f2bd2a06e46db95de6a8ee30f9 Mon Sep 17 00:00:00 2001
From: Anamol <44775373+AnamolR@users.noreply.github.com>
Date: Tue, 28 Oct 2025 08:47:16 +0000
Subject: [PATCH 232/332] [Edit] Stakeholder: Add content for richness (#6685)

* [Edit] Add content for richness

* Update stakeholder.md

* Update content/uiux/concepts/stakeholder/stakeholder.md

* Update content/uiux/concepts/stakeholder/stakeholder.md

---------
---
 .../uiux/concepts/stakeholder/stakeholder.md  | 32 +++++++++++++++++++
 1 file changed, 32 insertions(+)

diff --git a/content/uiux/concepts/stakeholder/stakeholder.md b/content/uiux/concepts/stakeholder/stakeholder.md
index 3b1cd5fa8b6..034e7473215 100644
--- a/content/uiux/concepts/stakeholder/stakeholder.md
+++ b/content/uiux/concepts/stakeholder/stakeholder.md
@@ -12,3 +12,35 @@ CatalogContent:
 ---
 
 In UI and UX Design, a **stakeholder** is anyone who impacts or is impacted by a certain project. This could include your intended users, administrators and IT professionals helping set up your product, the engineers and product managers on your team, the salespeople who will be selling your product, and many more.
+
+## Types of Stakeholders in UX Projects
+
+Stakeholders may differ based on the organization or product, but common types include:
+
+- **Internal team members:** Designers, developers, product managers, researchers, and QA engineers.
+- **Business leaders and executives:** Decision-makers who define priorities, strategy, and resource allocation.
+- **Marketing and sales teams:** Teams responsible for product positioning and promotion.
+- **Customer support or success teams:** Individuals who gather insights from user feedback and recurring issues.
+- **End users or user representatives:** The people who use the product or act on their behalf (e.g., user advocates).
+- **Legal, compliance, or security roles:** Stakeholders who set constraints based on policies or regulations.
+
+> **Note:** Not all stakeholders speak the same language as designers. Translating UX insights into their priorities is a valuable design skill.
+
+## Stakeholder Influence on UX
+
+Stakeholders influence UX throughout the design lifecycle:
+
+- **Defining feature scope and priorities:** Product managers and business owners determine what gets designed and when.
+- **Shaping success metrics:** Executives and analysts establish KPIs that guide product strategy.
+- **Aligning content and branding:** Marketing teams ensure consistency with tone and visual identity.
+- **Introducing constraints and compliance:** Legal teams set rules that affect content, interaction patterns, or functionality.
+
+## Collaborating with Stakeholders
+
+Effective UX work includes clear communication and collaboration across functions:
+
+- **Set expectations early:** Define processes, deliverables, and roles at the outset.
+- **Involve stakeholders in research:** Invite them to observe sessions or contribute questions.
+- **Translate UX insights into business value:** Frame findings in terms of cost savings, retention, or satisfaction.
+- **Use accessible, jargon-free communication:** Tailor presentations to meet varying levels of domain knowledge.
+- **Be open to negotiation:** Balance user needs with technical feasibility and business goals.

From 5f95019516510b6ddb35b47cd26ec1a47fe8a552 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 28 Oct 2025 14:24:56 +0530
Subject: [PATCH 233/332] [Term Entry] Java Queue: contains() (#7511)

* [Term Entry] Java Queue: contains()

* Update content/java/concepts/queue/terms/contains/contains.md

* Update content/java/concepts/queue/terms/contains/contains.md

* Update content/java/concepts/queue/terms/contains/contains.md

* Update content/java/concepts/queue/terms/contains/contains.md

* Update content/java/concepts/queue/terms/contains/contains.md

* Format + lint

---------
---
 .../concepts/queue/terms/contains/contains.md | 233 ++++++++++++++++++
 1 file changed, 233 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/contains/contains.md

diff --git a/content/java/concepts/queue/terms/contains/contains.md b/content/java/concepts/queue/terms/contains/contains.md
new file mode 100644
index 00000000000..d4e77588637
--- /dev/null
+++ b/content/java/concepts/queue/terms/contains/contains.md
@@ -0,0 +1,233 @@
+---
+Title: 'contains()'
+Description: 'Checks whether a specific element is present in a Java Queue and returns a boolean value indicating the result'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Boolean'
+  - 'Collections'
+  - 'Methods'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+The **`contains()`** method in Java's [Queue](https://www.codecademy.com/resources/docs/java/queue) interface that checks whether a specific element is present in the queue. This method returns `true` if the queue contains the specified element, and `false` otherwise. The `contains()` method is inherited from the [Collection](https://www.codecademy.com/resources/docs/java/collection) interface and provides an efficient way to verify the presence of elements without modifying the queue structure.
+
+## Syntax
+
+```pseudo
+boolean contains(Object element)
+```
+
+**Parameters:**
+
+- `element`: The element whose presence in the queue is to be checked.
+
+**Return value:**
+
+The method returns a boolean value:
+
+- `true` if the queue contains the specified element.
+- `false` if the element is not found in the queue.
+
+## Example 1: Basic `contains()` Usage in Java
+
+This example demonstrates the fundamental usage of the `contains()` method with a `LinkedList` queue implementation:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+
+public class QueueContainsExample {
+  public static void main(String[] args) {
+    // Create a queue using LinkedList
+    Queue<String> queue = new LinkedList<>();
+
+    // Add elements to the queue
+    queue.add("Apple");
+    queue.add("Banana");
+    queue.add("Cherry");
+
+    // Check if queue contains specific elements
+    boolean hasApple = queue.contains("Apple");
+    boolean hasGrape = queue.contains("Grape");
+
+    System.out.println("Queue contains Apple: " + hasApple);
+    System.out.println("Queue contains Grape: " + hasGrape);
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Queue contains Apple: true
+Queue contains Grape: false
+```
+
+This example creates a queue with fruit names and demonstrates how `contains()` returns `true` for existing elements and `false` for non-existing elements.
+
+## Example 2: Customer Order Processing with `contains()`
+
+This example shows how the `contains()` method can be used in a real-world customer order processing system to check if specific orders are pending:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+
+public class OrderProcessor {
+  public static void main(String[] args) {
+    // Create a queue to store pending order IDs
+    Queue<Integer> pendingOrders = new LinkedList<>();
+
+    // Add some order IDs to the queue
+    pendingOrders.add(1001);
+    pendingOrders.add(1002);
+    pendingOrders.add(1003);
+    pendingOrders.add(1004);
+
+    // Check if specific orders are in the pending queue
+    int customerOrder = 1002;
+    if (pendingOrders.contains(customerOrder)) {
+      System.out.println("Order " + customerOrder + " is currently pending");
+      System.out.println("Estimated position in queue: " + getOrderPosition(pendingOrders, customerOrder));
+    } else {
+      System.out.println("Order " + customerOrder + " is not in the pending queue");
+    }
+
+    // Check another order
+    int anotherOrder = 1005;
+    if (pendingOrders.contains(anotherOrder)) {
+      System.out.println("Order " + anotherOrder + " is currently pending");
+    } else {
+      System.out.println("Order " + anotherOrder + " has been processed or doesn't exist");
+    }
+  }
+
+  // Helper method to find position of order in queue
+  private static int getOrderPosition(Queue<Integer> queue, int orderId) {
+    int position = 1;
+    for (Integer order : queue) {
+      if (order.equals(orderId)) {
+        return position;
+      }
+      position++;
+    }
+    return -1; // Not found
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Order 1002 is currently pending
+Estimated position in queue: 2
+Order 1005 has been processed or doesn't exist
+```
+
+This example demonstrates how businesses can use the `contains()` method to quickly verify order status and provide customers with accurate information about their pending orders.
+
+## Example 3: Task Management System with `contains()`
+
+This example illustrates using the `contains()` method in a task management system where different priority tasks are queued for execution:
+
+```java
+import java.util.PriorityQueue;
+import java.util.Queue;
+
+class Task implements Comparable<Task> {
+  private String name;
+  private int priority;
+
+  public Task(String name, int priority) {
+    this.name = name;
+    this.priority = priority;
+  }
+
+  @Override
+  public int compareTo(Task other) {
+    return Integer.compare(this.priority, other.priority); // Lower number = higher priority
+  }
+
+  @Override
+  public boolean equals(Object obj) {
+    if (this == obj) return true;
+    if (obj == null || getClass() != obj.getClass()) return false;
+    Task task = (Task) obj;
+    return name.equals(task.name);
+  }
+
+  @Override
+  public String toString() {
+    return name + " (Priority: " + priority + ")";
+  }
+}
+
+public class TaskManager {
+  public static void main(String[] args) {
+    // Create a priority queue for task management
+    Queue<Task> taskQueue = new PriorityQueue<>();
+
+    // Add tasks with different priorities
+    taskQueue.add(new Task("Database Backup", 1));
+    taskQueue.add(new Task("Send Email Report", 3));
+    taskQueue.add(new Task("Update Security Patches", 1));
+    taskQueue.add(new Task("Clean Temp Files", 5));
+
+    // Check if specific tasks are scheduled
+    Task searchTask1 = new Task("Database Backup", 1);
+    Task searchTask2 = new Task("Generate Analytics", 2);
+
+    if (taskQueue.contains(searchTask1)) {
+      System.out.println("Database Backup is scheduled for execution");
+    }
+
+    if (taskQueue.contains(searchTask2)) {
+      System.out.println("Generate Analytics is scheduled for execution");
+    } else {
+      System.out.println("Generate Analytics is not in the task queue");
+    }
+
+    // Display current queue status
+    System.out.println("\nCurrent tasks in queue:");
+    for (Task task : taskQueue) {
+      System.out.println("- " + task);
+    }
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Database Backup is scheduled for execution
+Generate Analytics is not in the task queue
+
+Current tasks in queue:
+- Database Backup (Priority: 1)
+- Update Security Patches (Priority: 1)
+- Send Email Report (Priority: 3)
+- Clean Temp Files (Priority: 5)
+```
+
+> **Note:** `PriorityQueue` iteration does not guarantee elements will appear in priority order - the displayed task sequence may vary between program runs due to internal heap storage organization.
+
+This example shows how the `contains()` method can be used in system administration scenarios to verify whether critical tasks are queued for execution, helping administrators track and manage automated processes.
+
+## Frequently Asked Questions
+
+### 1. What is the `contains()` method in Java?
+
+The `contains()` method for queues works with any object type, including strings. When used with String elements in a queue, it checks if a specific string value exists in the queue using the `equals()` method for comparison.
+
+### 2. What is `contains()` in a priority queue in Java?
+
+In a `PriorityQueue`, the `contains()` method searches through the internal heap structure to find the specified element. It returns `true` if the element exists, regardless of its position in the priority ordering. The time complexity is `O(n)` since it may need to check multiple elements.
+
+### 3. Is Java priority queue max or min?
+
+By default, Java's `PriorityQueue` is a min-heap, meaning the smallest element (according to natural ordering or provided Comparator) has the highest priority and is removed first. To create a max-heap, you need to provide a reverse Comparator or implement Comparable in reverse order.

From b636b8ae97b77398c99e75dafaa05e98e4fd231d Mon Sep 17 00:00:00 2001
From: Nischay Chavan <nischaychavan79@gmail.com>
Date: Tue, 28 Oct 2025 14:37:46 +0530
Subject: [PATCH 234/332] Added documentation entry for NumPy ndarray trace()
 method (#7830)

* Added documentation entry for NumPy ndarray trace() method

* Enhance .trace() method documentation for clarity

Clarified explanation of the .trace() method for NumPy arrays, including details on handling multi-dimensional arrays and optional parameters.

* Correct syntax for numpy.trace to ndarray.trace

Updated the syntax for the numpy trace function to reflect the correct usage with ndarray.

* Update trace.md

---------
---
 .../concepts/ndarray/terms/trace/trace.md     | 89 +++++++++++++++++++
 1 file changed, 89 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/trace/trace.md

diff --git a/content/numpy/concepts/ndarray/terms/trace/trace.md b/content/numpy/concepts/ndarray/terms/trace/trace.md
new file mode 100644
index 00000000000..247c68a54d3
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/trace/trace.md
@@ -0,0 +1,89 @@
+---
+Title: '.trace()'
+Description: 'Returns the sum of the elements along the diagonal of an array.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Linear Algebra'
+  - 'Matrices'
+  - 'NumPy'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.trace()`** method returns the sum of the elements along the diagonal of a [NumPy](https://www.codecademy.com/resources/docs/numpy) array. For 2D arrays, the diagonal consists of elements where the row index equals the column index. For multi-dimensional arrays, the axes specified by axis1 and axis2 define the matrix dimensions for diagonal summation.
+
+The `.trace()` method supports optional parameters to select a diagonal offset or specify axes, making it versatile for arrays of different shapes and orientations.
+
+## Syntax
+
+```pseudo
+ndarray.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None)
+```
+
+**Parameters:**
+
+- `offset` (Optional): The diagonal offset from the main diagonal. A positive value selects a diagonal above the main diagonal, while a negative value selects one below. Default is `0` (main diagonal).
+- `axis1` (Optional): The axis to be used as the first axis of the 2D sub-arrays from which the diagonals should be taken. Default is `0`.
+- `axis2` (Optional): The axis to be used as the second axis of the 2D sub-arrays from which the diagonals should be taken. Default is `1`.
+- `dtype` (Optional): The data type of the returned array. If not specified, it is determined from the input array.
+- `out` (Optional): An alternative output array to place the result. It must have the same shape as the expected output.
+
+**Return value:**
+
+Returns the sum of the diagonal elements as a scalar or array, depending on the input array's dimensions and the specified parameters.
+
+## Example
+
+This example demonstrates how to use `.trace()` to calculate the sum of the main diagonal elements of a 2D array:
+
+```py
+import numpy as np
+
+# Create a 2D array
+array_2d = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
+print("Original array:")
+print(array_2d)
+
+# Calculate the trace (sum of main diagonal)
+trace_value = array_2d.trace()
+print("\nTrace (sum of diagonal elements):", trace_value)
+```
+
+The output produced by this code is:
+
+```shell
+Original array:
+[[1 2 3]
+ [4 5 6]
+ [7 8 9]]
+
+Trace (sum of diagonal elements): 15
+```
+
+This code creates a 3×3 array and calculates the trace by summing the diagonal elements (1 + 5 + 9 = 15).
+
+## Codebyte Example
+
+```codebyte/python
+import numpy as np
+
+# Create a 3x3 matrix
+matrix = np.array([[2, 0, 1], [1, 1, 0], [0, 1, 2]])
+print("Matrix:")
+print(matrix)
+
+# Calculate the trace
+trace_result = matrix.trace()
+print("\nTrace of the matrix:", trace_result)
+
+# Calculate trace with offset
+trace_offset_1 = matrix.trace(offset=1)
+trace_offset_minus_1 = matrix.trace(offset=-1)
+print("Trace with offset 1 (above diagonal):", trace_offset_1)
+print("Trace with offset -1 (below diagonal):", trace_offset_minus_1)
+```

From d778a0077d3ab012ea63494cc41f09c03a16819b Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 28 Oct 2025 14:39:59 +0530
Subject: [PATCH 235/332] [Term Entry] Java Queue: clear() (#7541)

* [Term Entry] Java Queue: clear()

* Update content/java/concepts/queue/terms/clear/clear.md

* Update content/java/concepts/queue/terms/clear/clear.md

* Update content/java/concepts/queue/terms/clear/clear.md

* Update content/java/concepts/queue/terms/clear/clear.md

* Update content/java/concepts/queue/terms/clear/clear.md

* Update content/java/concepts/queue/terms/clear/clear.md

---------
---
 .../java/concepts/queue/terms/clear/clear.md  | 227 ++++++++++++++++++
 1 file changed, 227 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/clear/clear.md

diff --git a/content/java/concepts/queue/terms/clear/clear.md b/content/java/concepts/queue/terms/clear/clear.md
new file mode 100644
index 00000000000..7c1d5fb4a71
--- /dev/null
+++ b/content/java/concepts/queue/terms/clear/clear.md
@@ -0,0 +1,227 @@
+---
+Title: 'clear()'
+Description: 'Removes all elements from a Java Queue making it empty.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Collections'
+  - 'Data Structures'
+  - 'Methods'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+The **`clear()`** method in Java [Queue](https://www.codecademy.com/resources/docs/java/queue) removes all elements from the queue, making it completely empty. This method is inherited from the [Collection](https://www.codecademy.com/resources/docs/java/collection) interface and provides a convenient way to reset a queue without creating a new instance.
+
+## Syntax
+
+```pseudo
+queueName.clear()
+```
+
+**Parameters:**
+
+- This method does not take any parameters.
+
+**Return value:**
+
+- The method does not return any value (`void`).
+
+## Example 1: Basic Queue Clear
+
+This example demonstrates the fundamental usage of the `clear()` method with a [LinkedList](https://www.codecademy.com/resources/docs/java/linked-list) implementation of Queue:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+
+public class QueueClearBasic {
+  public static void main(String[] args) {
+    // Create a queue using LinkedList implementation
+    Queue<String> queue = new LinkedList<>();
+
+    // Add elements to the queue
+    queue.offer("First");
+    queue.offer("Second");
+    queue.offer("Third");
+    queue.offer("Fourth");
+
+    // Display the original queue
+    System.out.println("Original queue: " + queue);
+    System.out.println("Queue size before clear: " + queue.size());
+
+    // Clear all elements from the queue
+    queue.clear();
+
+    // Display the queue after clearing
+    System.out.println("Queue after clear: " + queue);
+    System.out.println("Queue size after clear: " + queue.size());
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Original queue: [First, Second, Third, Fourth]
+Queue size before clear: 4
+Queue after clear: []
+Queue size after clear: 0
+```
+
+This example creates a queue, adds four string elements, displays the original content, clears the queue, and then shows the empty result. The `clear()` method removes all elements but keeps the queue structure intact for future use.
+
+## Example 2: Task Processing System
+
+This example illustrates how `clear()` can be utilized in a task processing system to reset the task queue after completing a batch of operations:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+
+public class TaskProcessingSystem {
+  public static void main(String[] args) {
+    // Create a task queue
+    Queue<String> taskQueue = new LinkedList<>();
+
+    // Add tasks to the queue
+    taskQueue.offer("Process Payment");
+    taskQueue.offer("Send Email");
+    taskQueue.offer("Update Database");
+    taskQueue.offer("Generate Report");
+    taskQueue.offer("Backup Data");
+
+    System.out.println("Tasks in queue: " + taskQueue);
+    System.out.println("Total tasks: " + taskQueue.size());
+
+    // Process all tasks
+    while (!taskQueue.isEmpty()) {
+      String currentTask = taskQueue.poll();
+      System.out.println("Processing: " + currentTask);
+    }
+
+    System.out.println("All tasks completed. Queue status: " + taskQueue);
+
+    // Add new batch of tasks
+    taskQueue.offer("Daily Cleanup");
+    taskQueue.offer("System Maintenance");
+
+    System.out.println("New tasks added: " + taskQueue);
+
+    // Clear the queue for emergency reset
+    System.out.println("Emergency reset triggered!");
+    taskQueue.clear();
+
+    System.out.println("Queue after emergency clear: " + taskQueue);
+    System.out.println("Ready for new tasks: " + taskQueue.isEmpty());
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Tasks in queue: [Process Payment, Send Email, Update Database, Generate Report, Backup Data]
+Total tasks: 5
+Processing: Process Payment
+Processing: Send Email
+Processing: Update Database
+Processing: Generate Report
+Processing: Backup Data
+All tasks completed. Queue status: []
+New tasks added: [Daily Cleanup, System Maintenance]
+Emergency reset triggered!
+Queue after emergency clear: []
+Ready for new tasks: true
+```
+
+This example demonstrates a realistic scenario where a task processing system uses `clear()` for emergency resets or batch completions. The method provides a quick way to empty the queue without affecting its functionality.
+
+## Example 3: Cache Management System
+
+This example illustrates how `clear()` is useful in cache management systems where periodic cache clearing is necessary for memory optimization:
+
+```java
+import java.util.PriorityQueue;
+import java.util.Queue;
+
+public class CacheManagementSystem {
+  public static void main(String[] args) {
+    // Create a priority queue for cache management
+    Queue<Integer> cacheQueue = new PriorityQueue<>();
+
+    // Simulate adding cache entries with priority values
+    cacheQueue.offer(10);  // Low priority
+    cacheQueue.offer(5);   // High priority
+    cacheQueue.offer(15);  // Lower priority
+    cacheQueue.offer(3);   // Highest priority
+    cacheQueue.offer(12);  // Medium priority
+
+    System.out.println("Cache entries (priority order): " + cacheQueue);
+    System.out.println("Cache size: " + cacheQueue.size());
+    System.out.println("Highest priority item: " + cacheQueue.peek());
+
+    // Simulate cache usage
+    System.out.println("\nProcessing cache entries:");
+    Queue<Integer> tempQueue = new PriorityQueue<>(cacheQueue);
+    while (!tempQueue.isEmpty()) {
+      System.out.println("Accessing cache entry: " + tempQueue.poll());
+    }
+
+    // Check memory usage and clear cache if needed
+    boolean memoryThresholdExceeded = true; // Simulated condition
+
+    if (memoryThresholdExceeded) {
+      System.out.println("\nMemory threshold exceeded. Clearing cache...");
+      cacheQueue.clear();
+      System.out.println("Cache cleared successfully.");
+      System.out.println("Current cache size: " + cacheQueue.size());
+      System.out.println("Cache is empty: " + cacheQueue.isEmpty());
+
+      // Cache is now ready for new entries
+      System.out.println("\nCache system ready for new entries.");
+    }
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Cache entries (priority order): [3, 5, 15, 10, 12]
+Cache size: 5
+Highest priority item: 3
+
+Processing cache entries:
+Accessing cache entry: 3
+Accessing cache entry: 5
+Accessing cache entry: 10
+Accessing cache entry: 12
+Accessing cache entry: 15
+
+Memory threshold exceeded. Clearing cache...
+Cache cleared successfully.
+Current cache size: 0
+Cache is empty: true
+
+Cache system ready for new entries.
+```
+
+The following text explains how the `clear()` method works with different Queue implementations, such as [PriorityQueue](https://www.codecademy.com/resources/docs/java/priorityqueue). This method is particularly useful in cache management systems where there is a need to periodically clear cached data to free up memory.
+
+## Frequently Asked Questions
+
+### 1. Does the `clear()` method destroy the queue object?
+
+No, the `clear()` method only removes all elements from the queue but preserves the queue structure. You can continue using the same queue instance after clearing it.
+
+### 2. What is the time complexity of the `clear()` method?
+
+The time complexity is typically `O(n)` where n is the number of elements in the queue, as it needs to remove each element. However, some implementations may optimize this operation.
+
+### 3. Can I use `clear()` on thread-safe queue implementations?
+
+Yes, the `clear()` method works with thread-safe queue implementations like `LinkedBlockingQueue` and `ConcurrentLinkedQueue`. The operation remains thread-safe in these implementations.

From f390949a8e2da08865121087c358cbaa0dad4ee6 Mon Sep 17 00:00:00 2001
From: SRIKARTIK MATETI <matetikartik1999@gmail.com>
Date: Tue, 28 Oct 2025 14:49:59 +0530
Subject: [PATCH 236/332] [Term Entry] PyTorch Tensor Operations: .igamma()
 (#7806)

* Adding igamma

* minor content fixes

* Update igamma.md

* Update igamma.md

---------
---
 .../tensor-operations/terms/igamma/igamma.md  | 87 +++++++++++++++++++
 1 file changed, 87 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/igamma/igamma.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/igamma/igamma.md b/content/pytorch/concepts/tensor-operations/terms/igamma/igamma.md
new file mode 100644
index 00000000000..fc92876a068
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/igamma/igamma.md
@@ -0,0 +1,87 @@
+---
+Title: '.igamma()'
+Description: 'Computes the lower incomplete gamma function for tensor inputs.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'AI'
+  - 'Deep Learning'
+  - 'Methods'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`torch.igamma()`** function in PyTorch computes the lower regularized incomplete gamma function, a special mathematical function often used in probability, statistics, and machine learning. `torch.igamma()` is an alias for `torch.special.gammainc()`. This means both functions compute the regularized lower incomplete gamma function and can be used interchangeably.
+
+## Syntax
+
+```pseudo
+torch.igamma(input, other, *, out=None)
+```
+
+Or, alternatively:
+
+```pseudo
+torch.special.gammainc(input, other, *, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The shape parameter `a` of the Gamma function.
+- `other` (Tensor): The upper limit `x` of the integral.
+- `out` (Tensor, optional): The output tensor to store results.
+
+**Return value:**
+
+Returns a tensor containing the lower regularized incomplete gamma function values for each corresponding pair of elements in `input` and `other`.
+
+## Example 1: Basic Element-Wise Computation
+
+In this example, `torch.igamma()` computes the lower regularized incomplete gamma function for corresponding elements of two 1D tensors:
+
+```py
+import torch
+
+a = torch.tensor([2.0, 3.0, 4.0])
+x = torch.tensor([1.0, 2.0, 3.0])
+
+result = torch.igamma(a, x)
+print(result)
+```
+
+This example produces the following output:
+
+```shell
+tensor([0.2642, 0.3233, 0.3528])
+```
+
+## Example 2: Gamma Distribution CDF
+
+In this example, `torch.igamma()` calculates the cumulative distribution function (CDF) of a Gamma distribution with shape ${a\}$ and rate 1:
+
+```py
+import torch
+
+a = torch.tensor([2.0])
+x = torch.linspace(0, 5, 6)
+gamma_cdf = torch.igamma(a, x)
+
+print(gamma_cdf)
+```
+
+The output of this code is:
+
+```shell
+tensor([0.0000, 0.2642, 0.5940, 0.8009, 0.9084, 0.9596])
+```
+
+The `.igamma()` function is useful for:
+
+- Computing CDFs of Gamma, Chi-square, or Exponential distributions.
+- Performing Bayesian statistical modeling (priors and posteriors).
+- Implementing neural network activations and loss functions involving special functions.

From 05e2e0976162ef3bac95636b5042d514e51dd130 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 28 Oct 2025 15:11:06 +0530
Subject: [PATCH 237/332] Erf (#7512)

* [Term Entry] PyTorch Tensor Operations: .erf()

* Rename docs/content/pytorch/concepts/tensor-operations/terms/erf/erf.md to content/pytorch/concepts/tensor-operations/terms/erf/erf.md

* Update content/pytorch/concepts/tensor-operations/terms/erf/erf.md

* Update content/pytorch/concepts/tensor-operations/terms/erf/erf.md

* Update content/pytorch/concepts/tensor-operations/terms/erf/erf.md

---------
---
 .../tensor-operations/terms/erf/erf.md        | 151 ++++++++++++++++++
 1 file changed, 151 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/erf/erf.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/erf/erf.md b/content/pytorch/concepts/tensor-operations/terms/erf/erf.md
new file mode 100644
index 00000000000..49b82a5967b
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/erf/erf.md
@@ -0,0 +1,151 @@
+---
+Title: 'erf()'
+Description: 'Computes the error function element-wise for each element in the input tensor'
+Subjects:
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Math'
+  - 'PyTorch'
+  - 'Tensors'
+CatalogContent:
+  - 'learn-pytorch'
+  - 'paths/machine-learning'
+---
+
+The **`.erf()`** computes the Gauss error function element-wise for each element in the input tensor. The error function is a mathematical function that appears frequently in probability, statistics, and partial differential equations, particularly in the context of the normal distribution.
+
+## Syntax
+
+```pseudo
+torch.erf(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor containing the values for which to compute the error function
+- `out` (Tensor, optional): The output tensor to store the result
+
+**Return value:**
+
+A new tensor with the same shape as `input`, containing the computed error function values for each element.
+
+## Example 1: Basic `.erf()` Usage
+
+This example demonstrates the basic implementation of the `.erf()` function with a simple 1D tensor:
+
+```py
+import torch
+
+# Create a 1D tensor with sample values
+input_tensor = torch.tensor([0.0, 1.0, -1.0, 2.0, -2.0])
+print("Input tensor:", input_tensor)
+
+# Compute the error function
+result = torch.erf(input_tensor)
+print("Error function result:", result)
+```
+
+The output of this code is:
+
+```shell
+Input tensor: tensor([ 0.,  1., -1.,  2., -2.])
+Error function result: tensor([ 0.0000,  0.8427, -0.8427,  0.9953, -0.9953])
+```
+
+The error function produces values between -1 and 1, with `erf(0) = 0`, and the function approaches ±1 for large positive or negative values.
+
+## Example 2: Batch Processing with `.erf()`
+
+This example shows how to apply the error function to multi-dimensional tensors for batch processing scenarios commonly used in machine learning:
+
+```py
+import torch
+
+# Create a batch of 2D tensors for processing multiple samples
+batch_tensor = torch.tensor([
+  [[-0.5, 0.8, 1.2], [0.3, -0.9, 1.5]],
+  [[0.7, -0.3, 2.1], [-1.1, 0.6, -0.4]]
+])
+print("Batch tensor shape:", batch_tensor.shape)
+print("Input batch:\n", batch_tensor)
+
+# Apply error function to the entire batch
+erf_result = torch.erf(batch_tensor)
+print("Error function applied to batch:\n", erf_result)
+```
+
+The output of this code is:
+
+```shell
+Batch tensor shape: torch.Size([2, 2, 3])
+Input batch:
+ tensor([[[-0.5000,  0.8000,  1.2000],
+          [ 0.3000, -0.9000,  1.5000]],
+
+         [[ 0.7000, -0.3000,  2.1000],
+          [-1.1000,  0.6000, -0.4000]]])
+Error function applied to batch:
+ tensor([[[-0.5205,  0.7421,  0.9103],
+          [ 0.3286, -0.7969,  0.9661]],
+
+         [[ 0.6778, -0.3286,  0.9970],
+          [-0.8802,  0.6039, -0.4284]]])
+```
+
+This example demonstrates how `erf()` processes each element independently while maintaining the tensor's original shape, making it ideal for neural network operations where batch processing is essential.
+
+## Example 3: `.erf()` in Activation Functions
+
+This example illustrates using the error function as part of the GELU (Gaussian Error Linear Unit) activation function, which is commonly used in transformer models and modern deep learning architectures:
+
+```py
+import torch
+import torch.nn as nn
+
+# Create a custom GELU activation using erf()
+def gelu_erf(x):
+  # GELU implementation using error function
+  # GELU(x) = 0.5 * x * (1 + erf(x / sqrt(2)))
+  return 0.5 * x * (1.0 + torch.erf(x / torch.sqrt(torch.tensor(2.0))))
+
+# Sample input representing neural network activations
+activations = torch.tensor([-2.0, -1.0, 0.0, 1.0, 2.0])
+print("Input activations:", activations)
+
+# Apply GELU using erf
+gelu_output = gelu_erf(activations)
+print("GELU output using erf:", gelu_output)
+
+# Compare with PyTorch's built-in GELU
+pytorch_gelu = nn.GELU()
+builtin_output = pytorch_gelu(activations)
+print("PyTorch GELU output:", builtin_output)
+print("Difference:", torch.abs(gelu_output - builtin_output))
+```
+
+The output of this code is:
+
+```shell
+Input activations: tensor([-2., -1.,  0.,  1.,  2.])
+GELU output using erf: tensor([-0.0455, -0.1587,  0.0000,  0.8413,  1.9545])
+PyTorch GELU output: tensor([-0.0455, -0.1587,  0.0000,  0.8413,  1.9545])
+Difference: tensor([0.0000, 0.0000, 0.0000, 0.0000, 0.0000])
+```
+
+This example shows how the error function integrates seamlessly with activation function implementations, providing mathematical precision for advanced neural network architectures.
+
+## Frequently Asked Questions
+
+### 1. What is torch erf?
+
+`torch.erf()` is PyTorch's implementation of the mathematical error function (also known as the Gauss error function). It computes the error function element-wise for input tensors.
+
+### 2. How do you get the value out of a tensor in PyTorch?
+
+To extract values from a PyTorch tensor, you can use `.item()` for single-element tensors, `.tolist()` to convert to Python lists, `.numpy()` to convert to NumPy arrays, or standard indexing like `tensor[0]` for specific elements. For example: `value = torch.erf(torch.tensor(1.0)).item()` returns the scalar value.
+
+### 3. What does torch tensor() do?
+
+`torch.tensor()` creates a new tensor from data such as lists, NumPy arrays, or scalar values. It copies the data and allows you to specify data type and device.

From 77a0810e573d90fac72ddf8e0eda82b2abd66551 Mon Sep 17 00:00:00 2001
From: KaChunMa <jasparkc@protonmail.com>
Date: Tue, 28 Oct 2025 14:02:36 +0000
Subject: [PATCH 238/332] [Edit/Update] Python - Collection-Module -
 defaultdict entry (#7621)

* Edit defaultdict.md to make it clear that default_factory in the syntax is a function

* Correct from function to callable

* Add examples of different callables being used

* Revise writing

* Test code and fix output

* Further revision

* Update defaultdict.md

* Update defaultdict.md

* Update content/python/concepts/collections-module/terms/defaultdict/defaultdict.md

* Update content/python/concepts/collections-module/terms/defaultdict/defaultdict.md

* Pushed minor changes

---------
---
 .../terms/defaultdict/defaultdict.md          | 117 ++++++++++--------
 1 file changed, 67 insertions(+), 50 deletions(-)

diff --git a/content/python/concepts/collections-module/terms/defaultdict/defaultdict.md b/content/python/concepts/collections-module/terms/defaultdict/defaultdict.md
index 36112dd5374..33dc8ad8271 100644
--- a/content/python/concepts/collections-module/terms/defaultdict/defaultdict.md
+++ b/content/python/concepts/collections-module/terms/defaultdict/defaultdict.md
@@ -1,115 +1,132 @@
 ---
 Title: 'defaultdict'
-Description: 'Returns a dictionary-like object.'
+Description: 'Creates a dictionary-like object that provides default values for missing keys.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
 Tags:
+  - 'Modules'
   - 'Data Types'
   - 'Dictionaries'
-  - 'Modules'
-  - 'Python'
 CatalogContent:
   - 'learn-python-3'
   - 'paths/computer-science'
 ---
 
-Python **`defaultdict`** is a [data type](https://www.codecademy.com/resources/docs/python/data-types) that belongs to the `collections` [module](https://www.codecademy.com/resources/docs/python/modules). It is a [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) subclass that is used to return a dictionary-like object.
+In Python, **`defaultdict`** is a data type that belongs to the [`collections`](https://www.codecademy.com/resources/docs/python/collections-module) module. It is a [dictionary](https://www.codecademy.com/resources/docs/python/dictionaries) subclass that automatically provides a default value for missing keys.
 
-## Python `defaultdict` Syntax
+## Syntax
 
 ```pseudo
-from collections import defaultdict
-
-defaultdict(default_factory)
+collections.defaultdict(default_factory)
 ```
 
 **Parameters:**
 
-- `default_factory`: A [function](https://www.codecademy.com/resources/docs/python/functions) that provides the default value for nonexistent keys. Commonly used with int, list, set, or even custom functions. Examples include:
-  - `int()`: Default value is `0`.
-  - `list()`:Default value is `[]`.
-  - `set()`: Default value is `set()`.
+- `default_factory`: A callable (such as a function or type like `int`, `list`, `set`) that provides the default value for missing keys. If set to `None`, a `KeyError` is raised when accessing a missing key.
 
 **Return value:**
 
-Returns a `defaultdict` object. If a key does not exist, accessing it will automatically create it with the value returned by `default_factory`.
+Returns a `defaultdict` object, which behaves like a dictionary but creates default values for missing keys using the specified `default_factory`.
 
-## Example 1: Counting Items Using Python `defaultdict`
+## Example 1: Using a Custom Function
 
-This example uses Python `defaultdict` to count the frequency of elements in a list:
+The following example demonstrates the `defaultdict` data type with a custom function as `default_factory` argument:
 
 ```py
 from collections import defaultdict
 
-fruits = ['apple', 'banana', 'apple', 'orange', 'banana', 'apple']
+def default_value():
+  return "Not Declared"
 
-fruit_count = defaultdict(int)
+myDefaultDict = defaultdict(default_value)
 
-for fruit in fruits:
-  fruit_count[fruit] += 1
+myDefaultDict["first"] = 100
+myDefaultDict["second"] = 90
 
-print(fruit_count)
+print(myDefaultDict["first"])
+print(myDefaultDict["second"])
+print(myDefaultDict["third"])
 ```
 
-Here is the output:
+Here is the output for the above code:
 
 ```shell
-defaultdict(<class 'int'>, {'apple': 3, 'banana': 2, 'orange': 1})
+100
+90
+Not Declared
 ```
 
-## Example 2: Grouping Items Using Python `defaultdict`
+## Example 2: Using Built-in Callables
 
-Python `defaultdict` can group items easily without checking if the key exists:
+This example demonstrates `defaultdict` with built-in types (`int`, `list`, `str`, `set`) as the `default_factory`:
 
 ```py
 from collections import defaultdict
 
-names = [('Alice', 'Math'), ('Bob', 'Science'), ('Alice', 'English')]
+intDefaultDict = defaultdict(int)
+listDefaultDict = defaultdict(list)
+strDefaultDict = defaultdict(str)
+setDefaultDict = defaultdict(set)
 
-grouped = defaultdict(list)
-
-for name, subject in names:
-  grouped[name].append(subject)
-
-print(grouped)
+print(intDefaultDict[0])
+print(listDefaultDict['zero'])
+print(strDefaultDict['0'])
+print(setDefaultDict['a'])
 ```
 
-Here is the output:
+Here is the output of the above code:
 
 ```shell
-defaultdict(<class 'list'>, {'Alice': ['Math', 'English'], 'Bob': ['Science']})
+0
+[]
+
+set()
 ```
 
-## Codebyte Example: Using Custom Default Values in Python `defaultdict`
+## Example 3: Working with Lists
 
-This codebyte example provides a custom default value to Python `defaultdict`:
+This example shows how `list` as `default_factory` allows appending to keys that don’t yet exist:
 
-```codebyte/python
+```py
 from collections import defaultdict
 
-def default_age():
-  return 18
+myDefaultDict = defaultdict(list)
+
+myDefaultDict['apple'].append(1)
+# myDefaultDict['apple'] does not exist so it defaults to empty list [],
+# then 1 is appended to it.
 
-ages = defaultdict(default_age)
+myDefaultDict['orange'] = 2
+#The empty list [] is replaced by integer 2 here.
+
+print(myDefaultDict['apple'])
+print(myDefaultDict['orange'])
+```
 
-ages['John'] = 25
-ages['Doe']  # Key doesn’t exist, uses default 18
+Here is the output of the above code:
 
-print(ages)
+```shell
+[1]
+2
 ```
 
-## Frequently Asked Questions
+## Codebyte Example
 
-### 1. What does `defaultdict` do in Python?
+Run the following codeblock and explore more about the `defaultdict` data type:
 
-Python `defaultdict` automatically assigns a default value to keys that do not exist, preventing KeyError and reducing the need for explicit key checks.
+```codebyte/python
+from collections import defaultdict
 
-### 2. Is `defaultdict` faster than `dict` in Python?
+def def_val():
+  return "Unknown"
 
-In Python, `defaultdict` can be faster than `dict` in scenarios where missing keys are frequently accessed or initialized, as it avoids repeated conditional checks.
+newDefaultDict = defaultdict(def_val)
 
-### 3. What is the difference between `get()` and `defaultdict` in Python?
+newDefaultDict["john"] = 25
+newDefaultDict["snow"] = 40
 
-- `dict.get(key, default)`: Returns the value for `key` if it exists; otherwise, returns the specified `default` without modifying the dictionary.
-- `defaultdict`: Automatically inserts the key with a default value (from `default_factory`) into the dictionary when accessed.
+print(newDefaultDict["john"])
+print(newDefaultDict["snow"])
+print(newDefaultDict["smith"])
+```

From 8f565ce66693fc9ddd6593ccad8206ead4912849 Mon Sep 17 00:00:00 2001
From: Nick <138953524+401-Nick@users.noreply.github.com>
Date: Tue, 28 Oct 2025 09:05:40 -0500
Subject: [PATCH 239/332] Fix equality operator in getInput1 function example
 (#7542)

---
 content/c-sharp/concepts/conditionals/conditionals.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/c-sharp/concepts/conditionals/conditionals.md b/content/c-sharp/concepts/conditionals/conditionals.md
index d0da743053a..cb8e2fa9a60 100644
--- a/content/c-sharp/concepts/conditionals/conditionals.md
+++ b/content/c-sharp/concepts/conditionals/conditionals.md
@@ -127,7 +127,7 @@ Is this condition true ? Run this if yes : Run this if no;
 In the example below, the condition that is checked is if `input1` is equal to 10. If that condition is true, it returns the first string. Otherwise, it returns the second string:
 
 ```cs
-string getInput1(int input1) => input1 === 10 ? "I returned true" : "I returned false";
+string getInput1(int input1) => input1 == 10 ? "I returned true" : "I returned false";
 
 Console.WriteLine(getInput1(10)); // Output: "I returned true"
 Console.WriteLine(getInput1(5)); // Output: "I returned false"

From d85044a98d302f1b3a3a70af23f48c940c39adfb Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 28 Oct 2025 19:47:09 +0530
Subject: [PATCH 240/332] [Term Entry] CSS Transform function: scaleZ() (#7707)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] CSS Transform function: scaleZ()

* Add files via upload

* Update content/css/concepts/transform-functions/terms/scaleZ/scaleZ.md

---------
---
 .../terms/scaleZ/scaleZ.md                    | 264 ++++++++++++++++++
 media/scalez1.png                             | Bin 0 -> 9162 bytes
 media/scalez2.gif                             | Bin 0 -> 352561 bytes
 media/scalez3.gif                             | Bin 0 -> 408387 bytes
 4 files changed, 264 insertions(+)
 create mode 100644 content/css/concepts/transform-functions/terms/scaleZ/scaleZ.md
 create mode 100644 media/scalez1.png
 create mode 100644 media/scalez2.gif
 create mode 100644 media/scalez3.gif

diff --git a/content/css/concepts/transform-functions/terms/scaleZ/scaleZ.md b/content/css/concepts/transform-functions/terms/scaleZ/scaleZ.md
new file mode 100644
index 00000000000..de5260a876f
--- /dev/null
+++ b/content/css/concepts/transform-functions/terms/scaleZ/scaleZ.md
@@ -0,0 +1,264 @@
+---
+Title: 'scaleZ()'
+Description: 'Resizes an element along the z-axis in 3D space'
+Subjects:
+  - 'Web Design'
+  - 'Web Development'
+Tags:
+  - 'Animation'
+  - 'CSS'
+  - 'Functions'
+  - 'Transform'
+CatalogContent:
+  - 'learn-css'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`scaleZ()`** function is a CSS transform function that resizes an element along the z-axis in 3D space. It modifies the depth of an element by scaling its z-coordinate, which is only visible when the element is positioned in a 3D context with perspective applied.
+
+## Syntax
+
+```pseudo
+transform: scaleZ(z);
+```
+
+**Parameters:**
+
+- `z`: A number or percentage representing the scaling factor to apply along the z-axis. A value of `1` leaves the element unchanged, values greater than `1` increase the depth, and values between `0` and `1` decrease the depth. Negative values create a reflection along the z-axis.
+
+**Return value:**
+
+The `scaleZ()` function returns a `<transform-function>` data type that can be used with the `transform` property.
+
+## Example 1: Basic `scaleZ()` Usage
+
+This example demonstrates basic z-axis scaling with perspective to visualize the effect. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>Basic scaleZ Example</title>
+  </head>
+  <body>
+    <div class="container">
+      <div class="box original">Original</div>
+      <div class="box scaled">Scaled Z</div>
+    </div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background-color: #f0f0f0;
+}
+
+.container {
+  perspective: 500px;
+  display: flex;
+  gap: 50px;
+}
+
+.box {
+  width: 150px;
+  height: 150px;
+  background-color: #3498db;
+  color: white;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  font-size: 18px;
+  font-weight: bold;
+}
+
+.original {
+  transform: rotateY(45deg);
+}
+
+.scaled {
+  transform: rotateY(45deg) scaleZ(2);
+  background-color: #e74c3c;
+}
+```
+
+This example results in the following output:
+
+![Two boxes are displayed side by side. The left box (Original) is rotated 45 degrees along the y-axis. The right box (Scaled Z) is rotated 45 degrees and scaled 2x along the z-axis, making it appear stretched in depth when viewed from the perspective angle.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scalez1.png)
+
+## Example 2: 3D Card Flip with `scaleZ()`
+
+This example shows how `scaleZ()` can be used to create depth effects in a 3D card flip animation. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>3D Card Flip</title>
+  </head>
+  <body>
+    <div class="card-container">
+      <div class="card">
+        <div class="card-front">Front Side</div>
+        <div class="card-back">Back Side</div>
+      </div>
+    </div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background-color: #2c3e50;
+}
+
+.card-container {
+  perspective: 1000px;
+}
+
+.card {
+  width: 300px;
+  height: 200px;
+  position: relative;
+  transform-style: preserve-3d;
+  transition: transform 0.6s;
+}
+
+.card:hover {
+  transform: rotateY(180deg);
+}
+
+.card-front,
+.card-back {
+  position: absolute;
+  width: 100%;
+  height: 100%;
+  backface-visibility: hidden;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  font-size: 24px;
+  font-weight: bold;
+  border-radius: 10px;
+  transform: scaleZ(1.5);
+}
+
+.card-front {
+  background-color: #3498db;
+  color: white;
+}
+
+.card-back {
+  background-color: #e74c3c;
+  color: white;
+  transform: rotateY(180deg) scaleZ(1.5);
+}
+```
+
+This example results in the following output:
+
+![A card is displayed that flips when hovered. The scaleZ() function adds depth to both the front and back faces of the card, making the 3D flip effect more pronounced and visually appealing.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scalez2.gif)
+
+## Example 3: 3D Image Gallery with `scaleZ()`
+
+This example demonstrates using `scaleZ()` to create a 3D image gallery with depth effects. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>3D Image Gallery</title>
+  </head>
+  <body>
+    <div class="gallery">
+      <div class="image-box box1">Image 1</div>
+      <div class="image-box box2">Image 2</div>
+      <div class="image-box box3">Image 3</div>
+    </div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+}
+
+.gallery {
+  perspective: 800px;
+  display: flex;
+  gap: 30px;
+}
+
+.image-box {
+  width: 180px;
+  height: 250px;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  color: white;
+  font-size: 20px;
+  font-weight: bold;
+  border-radius: 8px;
+  transition: transform 0.3s ease;
+  transform-style: preserve-3d;
+}
+
+.box1 {
+  background-color: #ff6b6b;
+  transform: rotateY(-15deg) scaleZ(1.2);
+}
+
+.box2 {
+  background-color: #4ecdc4;
+  transform: scaleZ(1.5);
+}
+
+.box3 {
+  background-color: #ffd93d;
+  transform: rotateY(15deg) scaleZ(2);
+}
+
+.image-box:hover {
+  transform: rotateY(0deg) scaleZ(2.5) translateZ(50px);
+}
+```
+
+This example results in the following output:
+
+![Three colored boxes are displayed in a row with different depth levels created by scaleZ(). Each box has a different z-axis scale factor, creating a layered 3D effect.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scalez3.gif)
+
+## Frequently Asked Questions
+
+### 1. What is the z-scale in CSS?
+
+Z scale refers to scaling an element along the z-axis in 3D space, modifying depth. It becomes visible when combined with other 3D transforms and perspective.
+
+### 2. What does transform scale do in CSS?
+
+Transform scale resizes elements along different axes. While `scale()`, `scaleX()`, and `scaleY()` work in 2D, `scaleZ()` scales along the z-axis in 3D space.
+
+### 3. What is the z-scale used for?
+
+The Z scale is used for creating 3D effects like card flips, interactive galleries, parallax effects, and depth-based animations when combined with other 3D transforms.
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From b2566bc0b6ef144a622a037f92849cbc2f5fbcc4 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 28 Oct 2025 19:55:35 +0530
Subject: [PATCH 241/332] [Term Entry] CSS Transform function: scaleY() 
 (#7709)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] CSS Transform function: scaleY()

* Add files via upload

* Update content/css/concepts/transform-functions/terms/scaleY/scaleY.md

* Update content/css/concepts/transform-functions/terms/scaleY/scaleY.md

* Update content/css/concepts/transform-functions/terms/scaleY/scaleY.md

---------
---
 .../terms/scaleY/scaleY.md                    | 233 ++++++++++++++++++
 media/scaleY1.png                             | Bin 0 -> 4383 bytes
 media/scaleY2.gif                             | Bin 0 -> 153480 bytes
 media/scaleY3.gif                             | Bin 0 -> 192584 bytes
 4 files changed, 233 insertions(+)
 create mode 100644 content/css/concepts/transform-functions/terms/scaleY/scaleY.md
 create mode 100644 media/scaleY1.png
 create mode 100644 media/scaleY2.gif
 create mode 100644 media/scaleY3.gif

diff --git a/content/css/concepts/transform-functions/terms/scaleY/scaleY.md b/content/css/concepts/transform-functions/terms/scaleY/scaleY.md
new file mode 100644
index 00000000000..2f513b2b089
--- /dev/null
+++ b/content/css/concepts/transform-functions/terms/scaleY/scaleY.md
@@ -0,0 +1,233 @@
+---
+Title: 'scaleY()'
+Description: 'Resizes an element along the y-axis.'
+Subjects:
+  - 'Web Design'
+  - 'Web Development'
+Tags:
+  - 'Animation'
+  - 'CSS'
+  - 'Functions'
+  - 'Transform'
+CatalogContent:
+  - 'learn-css'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`scaleY()`** function is a CSS transform function that resizes an element along the y-axis. It modifies the height of an element by scaling its vertical dimension.
+
+## Syntax
+
+```pseudo
+transform: scaleY(y);
+```
+
+**Parameters:**
+
+- `y`: A number or percentage representing the scaling factor to apply along the y-axis. A value of `1` leaves the element unchanged, values greater than `1` increase the height, and values between `0` and `1` decrease the height. Negative values create a vertical reflection.
+
+**Return value:**
+
+The `scaleY()` function returns a `<transform-function>` data type that can be used with the `transform` property.
+
+## Example 1: Scaling a Box Vertically
+
+In this example, the height of a box is scaled along the y-axis to create a stretched effect. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>ScaleY Box Example</title>
+  </head>
+  <body>
+    <div class="container">
+      <div class="box small">Small</div>
+      <div class="box tall">Tall</div>
+    </div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background-color: #f8f8f8;
+}
+
+.container {
+  display: flex;
+  gap: 40px;
+}
+
+.box {
+  width: 120px;
+  height: 120px;
+  background-color: #3498db;
+  color: white;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  font-size: 16px;
+  font-weight: bold;
+}
+
+.small {
+  transform: scaleY(0.8);
+  background-color: #2ecc71;
+}
+
+.tall {
+  transform: scaleY(1.8);
+  background-color: #e67e22;
+}
+```
+
+This example results in the following output:
+
+![Two boxes displayed side by side. The left box labeled ‘Original’ is normal height, while the right box labeled ‘Scaled Y’ is stretched taller along the vertical axis, showing the effect of scaleY.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scaleY1.png)
+
+## Example 2: Animated Button Grow on Hover
+
+In this example, a button grows taller along the y-axis when hovered over. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>ScaleY Button Animation</title>
+  </head>
+  <body>
+    <button class="btn">Hover Me</button>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background-color: #ecf0f1;
+}
+
+.btn {
+  width: 150px;
+  height: 50px;
+  font-size: 18px;
+  font-weight: bold;
+  background-color: #3498db;
+  color: white;
+  border: none;
+  border-radius: 8px;
+  transition: transform 0.4s ease;
+}
+
+.btn:hover {
+  transform: scaleY(1.5);
+}
+```
+
+This example results in the following output:
+
+![A 3D card displayed that flips when hovered. The front and back faces are scaled taller along the Y-axis, enhancing the vertical depth effect during the flip animation.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scaleY2.gif)
+
+## Example 3: Image Column Stack with Vertical Scaling
+
+In this example, images are stacked and scaled vertically to create a layered effect. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>Vertical Image Stack</title>
+  </head>
+  <body>
+    <div class="image-stack">
+      <div class="image-box box1">1</div>
+      <div class="image-box box2">2</div>
+      <div class="image-box box3">3</div>
+    </div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: flex-end;
+  height: 100vh;
+  background: linear-gradient(120deg, #6a11cb, #2575fc);
+}
+
+.image-stack {
+  display: flex;
+  gap: 20px;
+  align-items: flex-end;
+}
+
+.image-box {
+  width: 80px;
+  height: 80px;
+  background-color: #ff6b6b;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  color: white;
+  font-size: 18px;
+  font-weight: bold;
+  border-radius: 6px;
+  transition: transform 0.3s ease;
+}
+
+.box1 {
+  transform: scaleY(1.1);
+  background-color: #ff6b6b;
+}
+
+.box2 {
+  transform: scaleY(1.5);
+  background-color: #4ecdc4;
+}
+
+.box3 {
+  transform: scaleY(2);
+  background-color: #ffd93d;
+}
+
+.image-box:hover {
+  transform: scaleY(2.3);
+}
+```
+
+This example results in the following output:
+
+![Three colored boxes arranged in a row with different vertical scales using scaleY. Each box has a distinct height, creating a layered 3D vertical effect, and they grow taller when hovered.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scaleY3.gif)
+
+## Frequently Asked Questions
+
+### 1. What is the transform scale in CSS?
+
+Transform scale resizes elements along different axes. `scaleY()` specifically scales the element vertically.
+
+### 2. What does transform translateY(-50%) mean?
+
+It moves an element up by 50% of its own height relative to its current position.
+
+### 3. What is scaleY?
+
+ScaleY is a CSS transform that stretches or compresses an element along the vertical axis.
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From a82f1b5b2b3cf2070862803597fd971aa4f219e7 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Tue, 28 Oct 2025 20:03:36 +0530
Subject: [PATCH 242/332] [Term Entry] CSS Transform function: rotateX()
 (#7719)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] CSS Transform function: rotateX()

* Add files via upload

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../terms/rotateX/rotateX.md                  | 221 ++++++++++++++++++
 media/rotateX1.png                            | Bin 0 -> 4523 bytes
 media/rotateX2.gif                            | Bin 0 -> 119492 bytes
 media/rotateX3.gif                            | Bin 0 -> 142001 bytes
 4 files changed, 221 insertions(+)
 create mode 100644 content/css/concepts/transform-functions/terms/rotateX/rotateX.md
 create mode 100644 media/rotateX1.png
 create mode 100644 media/rotateX2.gif
 create mode 100644 media/rotateX3.gif

diff --git a/content/css/concepts/transform-functions/terms/rotateX/rotateX.md b/content/css/concepts/transform-functions/terms/rotateX/rotateX.md
new file mode 100644
index 00000000000..0226bad3d5f
--- /dev/null
+++ b/content/css/concepts/transform-functions/terms/rotateX/rotateX.md
@@ -0,0 +1,221 @@
+---
+Title: 'rotateX()'
+Description: 'Rotates an element around the x-axis in 3D space.'
+Subjects:
+  - 'Web Design'
+  - 'Web Development'
+Tags:
+  - 'Animation'
+  - 'CSS'
+  - 'Functions'
+  - 'Transform'
+CatalogContent:
+  - 'learn-css'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`rotateX()`** function is a CSS transform function that rotates an element around the x-axis, which runs horizontally through the element. It is primarily used to create 3D rotation effects, especially when combined with perspective.
+
+## Syntax
+
+```pseudo
+transform: rotateX(angle);
+```
+
+**Parameters:**
+
+- `angle`: A CSS `<angle>` value (e.g., `45deg`, `0.5rad`) that specifies the amount of rotation around the x-axis. Using a positive angle results in clockwise rotation (the top moves back, and the bottom moves forward). Using a negative angle causes counter-clockwise rotation (the top moves forward, and the bottom moves back).
+
+**Return value:**
+
+The `rotateX()` function returns a `<transform-function>` value that can be used with the `transform` property.
+
+## Example 1: Tilting a Card Forward
+
+In this example, a card element is rotated forward along the x-axis to create a tilt effect. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>RotateX Card Example</title>
+  </head>
+  <body>
+    <div class="card">Tilted Card</div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background-color: #f0f0f0;
+}
+
+.card {
+  width: 200px;
+  height: 120px;
+  background-color: #3498db;
+  color: white;
+  font-size: 20px;
+  font-weight: bold;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  transform: rotateX(30deg);
+}
+```
+
+This example results in the following output:
+
+![A rectangular card rotated forward along the x-axis at 30 degrees, creating a 3D tilt effect with depth perception.](https://raw.githubusercontent.com/Codecademy/docs/main/media/rotateX1.png)
+
+## Example 2: Interactive Flip on Hover
+
+In this example, a card flips forward when hovered over, simulating a 3D interactive effect. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>RotateX Hover Animation</title>
+  </head>
+  <body>
+    <div class="flip-card">Hover Me</div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  height: 100vh;
+  background-color: #ecf0f1;
+}
+
+.flip-card {
+  width: 150px;
+  height: 80px;
+  font-size: 18px;
+  font-weight: bold;
+  background-color: #e74c3c;
+  color: white;
+  border-radius: 8px;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  transition: transform 0.5s ease;
+}
+
+.flip-card:hover {
+  transform: rotateX(180deg);
+}
+```
+
+This example results in the following output:
+
+![A rectangular card that flips forward 180 degrees along the x-axis when hovered, showing a 3D flip animation effect.](https://raw.githubusercontent.com/Codecademy/docs/main/media/rotateX2.gif)
+
+## Example 3: Image Panel Stack with 3D Rotation
+
+In this example, multiple images are stacked and rotated along the x-axis for a layered 3D effect. The HTML code is:
+
+```html
+<!DOCTYPE html>
+<html>
+  <head>
+    <link rel="stylesheet" href="style.css" />
+    <title>3D Image Stack</title>
+  </head>
+  <body>
+    <div class="image-stack">
+      <div class="image-panel panel1">1</div>
+      <div class="image-panel panel2">2</div>
+      <div class="image-panel panel3">3</div>
+    </div>
+  </body>
+</html>
+```
+
+The CSS code is:
+
+```css
+body {
+  display: flex;
+  justify-content: center;
+  align-items: flex-start;
+  height: 100vh;
+  background: linear-gradient(120deg, #ff7e5f, #feb47b);
+}
+
+.image-stack {
+  display: flex;
+  flex-direction: column;
+  gap: 20px;
+}
+
+.image-panel {
+  width: 100px;
+  height: 100px;
+  background-color: #3498db;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  color: white;
+  font-size: 18px;
+  font-weight: bold;
+  border-radius: 6px;
+  transition: transform 0.3s ease;
+}
+
+.panel1 {
+  transform: rotateX(15deg);
+}
+
+.panel2 {
+  transform: rotateX(30deg);
+}
+
+.panel3 {
+  transform: rotateX(45deg);
+}
+
+.image-panel:hover {
+  transform: rotateX(60deg);
+}
+```
+
+This example results in the following output:
+
+![Three stacked square panels rotated along the x-axis with increasing angles, creating a layered 3D effect; each panel rotates further on hover.](https://raw.githubusercontent.com/Codecademy/docs/main/media/rotateX3.gif)
+
+## Frequently Asked Questions
+
+### 1. What is `rotateX`?
+
+`rotateX()` is a CSS transform function that rotates an element forward or backward around its horizontal x-axis, creating a 3D rotation effect.
+
+### 2. What is `rotate()` in CSS?
+
+`rotate()` rotates an element around a single 2D axis (the z-axis) in its plane. It is simpler than `rotateX()` and does not create a 3D effect.
+
+### 3. How to use `rotateX`?
+
+Use `rotateX(angle)` with the CSS `transform` property. Optionally combine it with `perspective` to enhance the 3D visual effect. Example:
+
+```css
+.element {
+  transform: perspective(500px) rotateX(45deg);
+}
+```
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From 551e1a0f5dfc18c72d8d2c7d8a0b7b84cd8b8407 Mon Sep 17 00:00:00 2001
From: Pranay <gadhpranay@gmail.com>
Date: Wed, 29 Oct 2025 11:16:36 +0530
Subject: [PATCH 243/332] Added a Multivariate Log Gamma Function File (#7804)

* Added a Multivariate Log Gamma Function File

Signed-off-by: Pranay22077 <pranaygadh_mc24b06_003@dtu.ac.in>

* code fixes and framing issues

* removed unwanted bold

---------
---
 .../terms/mvlgamma/mvlgamma.md                | 95 +++++++++++++++++++
 1 file changed, 95 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/mvlgamma/mvlgamma.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/mvlgamma/mvlgamma.md b/content/pytorch/concepts/tensor-operations/terms/mvlgamma/mvlgamma.md
new file mode 100644
index 00000000000..337d104b658
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/mvlgamma/mvlgamma.md
@@ -0,0 +1,95 @@
+---
+Title: '.mvlgamma()'
+Description: 'Computes the multivariate log-gamma function for tensor inputs.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'PyTorch'
+  - 'Tensor Operations'
+  - 'Math Functions'
+  - 'Probability'
+  - 'Statistics'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`torch.mvlgamma()`** function in PyTorch computes the multivariate log-gamma function for tensor inputs. It is widely used in multivariate statistics, particularly to calculate normalization constants in distributions such as the Wishart or multivariate Gamma distributions. Denoted as ${(\ln(\Gamma_p(a))\)}$, the multivariate log-gamma function generalizes the standard log-gamma function to matrix-valued arguments and is evaluated element-wise for each tensor value. It is defined for ${\(a > \frac{p-1}{2}\)}$, where ${\(p\)}$ is the specified dimension.
+
+The function is commonly applied in probability distributions over matrices, with the Wishart distribution being a frequent use case.
+
+The formula for the multivariate log-gamma function is:
+
+$$\ln(\Gamma_p(a)) = \frac{p(p-1)}{4} \ln(\pi) + \sum_{i=1}^{p} \ln\left(\Gamma\left(a - \frac{i-1}{2}\right)\right)$$
+
+where $\Gamma(\cdot)$ is the standard gamma function.
+
+## Syntax
+
+```pseudo
+torch.mvlgamma(input, p, out = None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): Tensor of values for which to compute the multivariate log-gamma function.
+- `p` (int): Number of dimensions in the multivariate gamma function. Must be a positive integer.
+- `out` (Tensor, optional): Tensor to store the output. If provided, must be broadcastable to the shape of the result.
+
+**Return value:**
+
+Returns a tensor containing the multivariate log-gamma values for each element in `input`, evaluated element-wise according to the specified dimension `p`.
+
+## Example 1: Element-wise computation
+
+In this example, `torch.mvlgamma()` computes the multivariate log-gamma function for a 1D tensor:
+
+```py
+import torch
+
+# Input tensor (values must be > (p-1)/2)
+# Here p = 3, so input elements must be > (3-1)/2 = 1
+a = torch.tensor([1.5, 2.0, 3.5])
+p_dimension = 3
+
+# Compute the multivariate log gamma function
+result = torch.mvlgamma(a, p=p_dimension)
+
+print(f"Input tensor: {a}")
+print(f"Dimension p: {p_dimension}")
+print(f"Result (mvlgamma): {result}")
+```
+
+The output of this code is:
+
+```shell
+Input tensor: tensor([1.5000, 2.0000, 3.5000])
+Dimension p: 3
+Result (mvlgamma): tensor([2.1687, 1.5963, 3.8959])
+```
+
+## Example 2: Comparison with standard lgamma
+
+In this example, `torch.mvlgamma()` is computed with `p=1` to show it matches the standard `torch.lgamma()`:
+
+```py
+import torch
+
+a_scalar = torch.tensor([2.5, 4.0])
+p1_result = torch.mvlgamma(a_scalar, p=1)
+lgamma_result = torch.lgamma(a_scalar)
+
+print(f"Input (p=1): {a_scalar}")
+print(f"mvlgamma (p=1): {p1_result}")
+print(f"lgamma: {lgamma_result}")
+```
+
+The output of this code is:
+
+```shell
+Input (p=1): tensor([2.5000, 4.0000])
+mvlgamma (p=1): tensor([0.2847, 1.7918])
+lgamma: tensor([0.2847, 1.7918])
+```

From d8f7f8fdf1736d79f7168ff4b1a45f68ab3a22bb Mon Sep 17 00:00:00 2001
From: frowningfrog <natalizedstolpinator@hotmail.com>
Date: Wed, 29 Oct 2025 01:16:17 -0600
Subject: [PATCH 244/332] [Term Entry] C++ Queue: swap()

* add swap file to cpp terms

* add updated swap file to cpp terms

* correct terms and cleaned example

* add example section with output

* newline

* minor fixes

* Minor changes

---------
---
 .../cpp/concepts/queues/terms/swap/swap.md    | 99 +++++++++++++++++++
 1 file changed, 99 insertions(+)
 create mode 100644 content/cpp/concepts/queues/terms/swap/swap.md

diff --git a/content/cpp/concepts/queues/terms/swap/swap.md b/content/cpp/concepts/queues/terms/swap/swap.md
new file mode 100644
index 00000000000..2d53bbadc96
--- /dev/null
+++ b/content/cpp/concepts/queues/terms/swap/swap.md
@@ -0,0 +1,99 @@
+---
+Title: '.swap()'
+Description: 'Swaps the values of two queues.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Objects'
+  - 'OOP'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.swap()`** function swaps the values of two queues. The queues must have the same [data type](https://www.codecademy.com/resources/docs/cpp/data-types), although size can differ.
+
+## Syntax
+
+The `.swap()` method can be used with the following syntax:
+
+```pseudo
+queue1.swap(queue2);
+```
+
+Or alternatively:
+
+```pseudo
+swap(queue1, queue2);
+```
+
+**Parameters:**
+
+- `queue2`: The other queue whose contents are to be swapped.
+
+**Return value:**
+
+`.swap()` does not return a value.
+
+## Example
+
+This example demonstrates the usage of the `.swap()` method with string queues:
+
+```cpp
+#include <iostream>
+#include <queue>
+using namespace std;
+
+int main() {
+  // Declare queues
+  queue<string> hello;
+  queue<string> world;
+
+  // Populate queues
+  hello.push("hello");
+  world.push("world");
+
+  // Swap the values of the queues
+  hello.swap(world);
+
+  // Print queue values
+  cout << hello.front() << " " << world.front();
+}
+```
+
+The expected output would be:
+
+```
+world hello
+```
+
+## Codebyte Example
+
+The following codebyte example below uses `.swap()` on two integer queues:
+
+```codebyte/cpp
+#include <iostream>
+#include <queue>
+using namespace std;
+
+int main() {
+  // Declare queues
+  queue<int> a;
+  queue<int> b;
+
+  // Populate queues
+  a.push(1);
+  a.push(2);
+  b.push(3);
+  b.push(4);
+
+  // Swap the values of a and b
+  a.swap(b);
+
+  // Print queue values
+  cout << "a: " << a.front() << ", " << a.back() << endl;
+  cout << "b: " << b.front() << ", " << b.back();
+}
+```

From 62ef4adc201cdcfc52d5aba049cfcefc5b903e04 Mon Sep 17 00:00:00 2001
From: btollenaar <12530456+btollenaar@users.noreply.github.com>
Date: Wed, 29 Oct 2025 00:27:30 -0700
Subject: [PATCH 245/332] [Term Entry] C++ Deque: .max_size()

* [Term Entry] C++ Deque: .max-size()

* content fixes

* Minor changes

---------
---
 .../concepts/deque/terms/max-size/max-size.md | 79 +++++++++++++++++++
 1 file changed, 79 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/max-size/max-size.md

diff --git a/content/cpp/concepts/deque/terms/max-size/max-size.md b/content/cpp/concepts/deque/terms/max-size/max-size.md
new file mode 100644
index 00000000000..028c97b3482
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/max-size/max-size.md
@@ -0,0 +1,79 @@
+---
+Title: '.max_size()'
+Description: 'Returns the maximum number of elements a deque can hold.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Containers'
+  - 'Deques'
+  - 'OOP'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.max_size()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) returns the maximum number of elements a deque can hold. This value reflects the maximum possible size based on system or library constraints. However, it does not guarantee that the container can actually grow to that size—memory allocation may still fail before reaching the reported limit.
+
+## Syntax
+
+```pseudo
+dequeName.max_size();
+```
+
+**Parameters:**
+
+The method does not take any parameters.
+
+**Return value:**
+
+Returns the maximum number of elements the deque can potentially hold as a value of type `size_type`.
+
+## Example
+
+In this example, the maximum possible number of elements a deque can hold on the system is retrieved:
+
+```cpp
+#include <iostream>
+#include <deque>
+
+int main() {
+  std::deque<int> mydeque;
+
+  // Display the maximum possible number of elements
+  std::cout << "Maximum possible elements: " << mydeque.max_size() << '\n';
+}
+```
+
+Example output on a 64-bit system:
+
+```shell
+Maximum possible elements: 4611686018427387903
+```
+
+## Codebyte Example
+
+In this example, a requested size is compared with the maximum possible size of a deque, and the container is resized only if the size is allowed:
+
+```codebyte/cpp
+#include <iostream>
+#include <deque>
+
+int main() {
+
+  std::deque<int> mydeque;
+  unsigned int requested_size = 5;  // example requested size
+
+  if (requested_size < mydeque.max_size()) {
+    mydeque.resize(requested_size);
+    std::cout << "Deque resized to " << requested_size << " elements.\n";
+  } else {
+    std::cout << "Requested size exceeds maximum allowed.\n";
+  }
+
+  std::cout << "Current deque size: " << mydeque.size() << std::endl;
+
+  return 0;
+}
+```

From 4908b6d58fa6941ad68f68f04c3d03eb030d7998 Mon Sep 17 00:00:00 2001
From: arisdelacruz <115809819+arisdelacruz@users.noreply.github.com>
Date: Wed, 29 Oct 2025 16:28:14 +0800
Subject: [PATCH 246/332] [Term Entry] PyTorch Tensor Operations: .log1p()

* Create log1p entry for pytorch

* Update log1p.md

* minor content fixes

* Minor changes

---------
---
 .../tensor-operations/terms/log1p/log1p.md    | 58 +++++++++++++++++++
 1 file changed, 58 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/log1p/log1p.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/log1p/log1p.md b/content/pytorch/concepts/tensor-operations/terms/log1p/log1p.md
new file mode 100644
index 00000000000..f40679053af
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/log1p/log1p.md
@@ -0,0 +1,58 @@
+---
+Title: '.log1p()'
+Description: 'Computes the natural logarithm of one plus the input tensor element-wise.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Data Structures'
+  - 'Functions'
+  - 'Index'
+  - 'Values'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, **`.log1p()`** computes the natural logarithm of one plus the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) element-wise.
+
+This function improves numerical stability for small input values, avoiding issues that can occur when computing the logarithm directly.
+
+## Syntax
+
+```pseudo
+torch.log1p(input, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input tensor for which the natural logarithm of one plus the elements will be computed.
+- `out` (Optional): A tensor to store the result. If provided, the computed values will be written to this tensor instead of creating a new one.
+
+**Return value:**
+
+Returns a new tensor where each element is the natural logarithm of one plus the corresponding element in the input tensor. The original tensor remains unchanged unless an `out` tensor is provided.
+
+## Example
+
+In this example, `.log1p()` computes the natural logarithm of one plus each element in a tensor:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([0.0, 1.0, 2.0])
+
+# Compute log1p
+y = torch.log1p(x)
+
+print(y)
+```
+
+The code above generates the output as follows:
+
+```shell
+tensor([0.0000, 0.6931, 1.0986])
+```
+
+In this example, the input tensor `x` contains the values `[0.0, 1.0, 2.0]`. The `log1p()` function computes the natural logarithm of one plus each element in the tensor, resulting in the output tensor `[0.0000, 0.6931, 1.0986]`.

From 42b44a7c821859177aa99995c30f966387378eb0 Mon Sep 17 00:00:00 2001
From: Parman Mohammadalizadeh <prmma23@gmail.com>
Date: Wed, 29 Oct 2025 08:33:59 +0000
Subject: [PATCH 247/332] [Term Entry] Python binascii-module: .a2b_qp()

* [Term Entry] Python binascii-module: .a2b_qp()

* changed the codebyte example as both were identical

* Minor changes

---------
---
 .../binascii-module/terms/a2b-qp/a2b-qp.md    | 70 +++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/a2b-qp/a2b-qp.md

diff --git a/content/python/concepts/binascii-module/terms/a2b-qp/a2b-qp.md b/content/python/concepts/binascii-module/terms/a2b-qp/a2b-qp.md
new file mode 100644
index 00000000000..516a7128ec0
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/a2b-qp/a2b-qp.md
@@ -0,0 +1,70 @@
+---
+Title: '.a2b_qp()'
+Description: 'Decodes a string of quoted-printable data back to binary.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Encoding'
+  - 'Functions'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In Python, the **`.a2b_qp()`** [function](https://www.codecademy.com/resources/docs/python/functions) decodes a string of quoted-printable data back to binary.
+
+Quoted-printable is an encoding scheme used in email messages to represent non-ASCII characters using only ASCII characters.
+
+## Syntax
+
+```pseudo
+binascii.a2b_qp(data, header=False)
+```
+
+**Parameters:**
+
+- `data`: A bytes-like object containing the quoted-printable encoded data to decode.
+- `header`: When set to `True`, it decodes the data as if it were in an email header, handling special rules for headers. Default is `False`.
+
+**Return value:**
+
+The `.a2b_qp()` function returns the decoded binary data as a bytes object.
+
+## Example
+
+This example decodes a quoted-printable encoded byte string into its original binary form:
+
+```py
+import binascii
+
+# Quoted-printable encoded data
+encoded_data = b'Codecademy=20Docs'
+
+# Decode the data back to binary
+decoded_data = binascii.a2b_qp(encoded_data)
+
+print(decoded_data)
+```
+
+This produces the following output:
+
+```shell
+b'Codecademy Docs'
+```
+
+## Codebyte Example
+
+This example decodes a quoted-printable encoded message body retrieved from an email:
+
+```codebyte/python
+import binascii
+
+# Quoted-printable encoded email message
+email_body = b'Hello=2C=20thank=20you=20for=20joining=20Codecademy=21'
+
+# Decode the email message body
+decoded_body = binascii.a2b_qp(email_body)
+
+print(decoded_body)
+```

From 76ee1ebed88219e8cfcad0a64bbd73d0d86f624f Mon Sep 17 00:00:00 2001
From: HortusDev <122388228+HortusDev@users.noreply.github.com>
Date: Wed, 29 Oct 2025 11:41:19 +0300
Subject: [PATCH 248/332] [Term Entry] Python deque: reverse()

* Add python reverse() method doc

Add python reverse() method doc

* minor updates

* Minor changes

---------
---
 .../concepts/deque/terms/reverse/reverse.md   | 70 +++++++++++++++++++
 1 file changed, 70 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/reverse/reverse.md

diff --git a/content/python/concepts/deque/terms/reverse/reverse.md b/content/python/concepts/deque/terms/reverse/reverse.md
new file mode 100644
index 00000000000..a4d459ae146
--- /dev/null
+++ b/content/python/concepts/deque/terms/reverse/reverse.md
@@ -0,0 +1,70 @@
+---
+Title: '.reverse()'
+Description: 'Reverses the elements of a deque in-place.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Collections'
+  - 'Deques'
+  - 'Functions'
+  - 'Methods'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.reverse()`** method of a Python [`collections.deque`](https://www.codecademy.com/resources/docs/python/collections-module/deque) reverses the order of elements in the deque in-place.
+
+## Syntax
+
+```pseudo
+deque.reverse()
+```
+
+**Parameters:**
+
+The `.reverse()` method doesn't take any parameters.
+
+**Return value:**
+
+The deque is modified in-place.
+
+## Example
+
+In this example, the elements of a deque are reversed in-place, changing the order of items:
+
+```py
+from collections import deque
+
+# Create a deque
+d = deque([1, 2, 3, 4])
+
+# Reverse the order of deque's elements
+d.reverse()
+print(d)
+```
+
+The output of this code is:
+
+```shell
+deque([4, 3, 2, 1])
+```
+
+## Codebyte Example
+
+The following example reverses the deque in-place to flip the order of words in a sentence:
+
+```codebyte/python
+from collections import deque
+
+words = deque(["requests", "pull", "and", "calm", "keep"])
+print("Original deque:", list(words))
+print("Original sentence:", " ".join(words))
+
+# Reverse the deque in-place to flip the sentence
+words.reverse()
+
+print("After .reverse():", list(words))
+print("Reversed sentence:", " ".join(words))
+```

From 12246f3f46c07772fa5b97e6347873be95770442 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 29 Oct 2025 14:29:25 +0530
Subject: [PATCH 249/332] [Term Entry] Python deque: rotate() (#7895)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] Python deque: rotate()

* Apply suggestion from @avdhoottt

---------
---
 .../concepts/deque/terms/rotate/rotate.md     | 86 +++++++++++++++++++
 1 file changed, 86 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/rotate/rotate.md

diff --git a/content/python/concepts/deque/terms/rotate/rotate.md b/content/python/concepts/deque/terms/rotate/rotate.md
new file mode 100644
index 00000000000..9b385a1b68a
--- /dev/null
+++ b/content/python/concepts/deque/terms/rotate/rotate.md
@@ -0,0 +1,86 @@
+---
+Title: 'rotate()'
+Description: 'Rotates the elements of the deque by a specified number of steps to the right (positive) or to the left (negative).'
+Subjects:
+  - 'Computer Science'
+  - 'Data Structures'
+Tags:
+  - 'Collections'
+  - 'Deque'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`rotate()`** method of Python’s [`collections.deque`](https://www.codecademy.com/resources/docs/python/deque) rotates the elements in the deque by the specified number of steps. If the number is positive, elements move from right to left (the rightmost elements move to the beginning). If the number is negative, elements move from left to right (the leftmost elements move to the end).
+
+## Syntax
+
+```pseudo
+deque.rotate(n)
+```
+
+**Parameters:**
+
+- `n`: The number of steps to rotate the deque. Positive values rotate to the right, negative values rotate to the left.
+
+**Return value:**
+
+This method rotates the deque in place and returns `None`. The original deque is modified directly.
+
+## Example 1: Rotating Days of the Week to the Right
+
+This example demonstrates rotating a deque of weekdays two steps to the right:
+
+```py
+from collections import deque
+
+days = deque(["Mon", "Tue", "Wed", "Thu", "Fri"])
+days.rotate(2)
+print(days)
+```
+
+The output of this code is:
+
+```shell
+deque(['Thu', 'Fri', 'Mon', 'Tue', 'Wed'])
+```
+
+## Example 2: Rotating Movie Titles to the Left
+
+This example showcases rotating a deque of movie titles one step to the left:
+
+```py
+from collections import deque
+
+movies = deque(["Inception", "Avatar", "Interstellar", "Tenet"])
+movies.rotate(-1)
+print(movies)
+```
+
+The output of the code is:
+
+```shell
+deque(['Avatar', 'Interstellar', 'Tenet', 'Inception'])
+```
+
+## Codebyte Example: Opposite Rotations
+
+The following example illustrates rotating two deques in opposite directions within one program:
+
+```codebyte/python
+from collections import deque
+
+colors = deque(["red", "green", "blue", "yellow"])
+numbers = deque([100, 200, 300, 400, 500])
+
+# Rotate colors right by 1
+colors.rotate(1)
+
+# Rotate numbers left by 2
+numbers.rotate(-2)
+
+print("Colors rotated right:", colors)
+print("Numbers rotated left:", numbers)
+```

From 09faf3b406d35bd4689af02c1ddb139b8273eaaa Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 29 Oct 2025 14:33:16 +0530
Subject: [PATCH 250/332] [Term Entry] C++ Deque : back() (#7893)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] C++ Deque : back()

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 content/cpp/concepts/deque/terms/back/back.md | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/back/back.md

diff --git a/content/cpp/concepts/deque/terms/back/back.md b/content/cpp/concepts/deque/terms/back/back.md
new file mode 100644
index 00000000000..073e1ade751
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/back/back.md
@@ -0,0 +1,81 @@
+---
+Title: '.back()'
+Description: 'Returns a reference to the last element in the deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Containers'
+  - 'Data Structures'
+  - 'Deques'
+  - 'Methods'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.back()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) returns a reference to the last element in a [deque](https://www.codecademy.com/resources/docs/cpp/deque). It allows direct access to that element for reading or modifying without removing it.
+
+> **Note:** Calling `.back()` on an empty deque leads to undefined behavior. Check with [`.empty()`](https://www.codecademy.com/resources/docs/cpp/deque/empty) before using `.back()`.
+
+## Syntax
+
+```pseudo
+dequeName.back();
+```
+
+**Parameters:**
+
+This method does not take any parameters.
+
+**Return value:**
+
+Returns a reference to the last element of the deque. If the deque is `const`, it returns a `const` reference.
+
+## Example: Accessing and Updating the Last Element
+
+This example retrieves the last number in a deque, updates it, and displays the change:
+
+```cpp
+#include <deque>
+#include <iostream>
+
+int main() {
+  std::deque<int> scores = {45, 67, 89};
+
+  std::cout << "Last score: " << scores.back() << std::endl;
+
+  // Update the last element
+  scores.back() = 100;
+
+  std::cout << "Updated last score: " << scores.back() << std::endl;
+  return 0;
+}
+```
+
+This program produces the following output:
+
+```shell
+Last score: 89
+Updated last score: 100
+```
+
+## Codebyte Example: Using `.back()` in a Conditional Check
+
+This example shows how `.back()` can be used to verify or modify the final value in a deque:
+
+```codebyte/cpp
+#include <deque>
+#include <iostream>
+
+int main() {
+  std::deque<std::string> tasks = {"plan", "write", "review"};
+
+  if (tasks.back() == "review") {
+    tasks.back() = "submit"; // Update the last task
+  }
+
+  std::cout << "Final task: " << tasks.back() << std::endl;
+  return 0;
+}
+```

From 05b37c79c549a91535b4fcf8fec986769b0494f3 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 29 Oct 2025 14:40:04 +0530
Subject: [PATCH 251/332] [Term Entry] Python binascii-module: .hexlify()
 (#7894)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] Python binascii-module: .hexlify()

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../binascii-module/terms/hexlify/hexlify.md  | 74 +++++++++++++++++++
 1 file changed, 74 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/hexlify/hexlify.md

diff --git a/content/python/concepts/binascii-module/terms/hexlify/hexlify.md b/content/python/concepts/binascii-module/terms/hexlify/hexlify.md
new file mode 100644
index 00000000000..4a0dd6f52b2
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/hexlify/hexlify.md
@@ -0,0 +1,74 @@
+---
+Title: '.hexlify()'
+Description: 'Encodes binary data into a hexadecimal (base-16) representation.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Encoding'
+  - 'Methods'
+  - 'Modules'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.hexlify()`** method from Python’s [`binascii`](https://www.codecademy.com/resources/docs/python/binascii-module) module encodes binary data into a hexadecimal (base-16) ASCII representation. It’s an alias for `binascii.b2a_hex()` and is commonly used to represent binary data in a readable hex format. Each byte of input data is converted into a two-digit hexadecimal value.
+
+## Syntax
+
+```pseudo
+binascii.hexlify(data[, sep[, bytes_per_sep]])
+```
+
+**Parameters:**
+
+- `data` (bytes-like): The binary data to encode.
+- `sep` (optional, single character `str` or `bytes`): A separator to insert between hex groups.
+- `bytes_per_sep` (optional `int`): After every `bytes_per_sep` input bytes, insert `sep`. A negative value will count from the right end.
+
+**Return value:**
+
+Returns a `bytes` object containing the hexadecimal ASCII representation of the input.
+
+> **Note:** The returned object is always twice as long as the original data. If `sep` is provided, it’s inserted at the specified intervals for better readability.
+
+## Example: Converting Binary Data to Hexadecimal
+
+This example encodes a byte string into its hexadecimal equivalent:
+
+```py
+import binascii
+
+message = b'Python3'
+hex_value = binascii.hexlify(message)
+print(hex_value)
+```
+
+The output of this code is:
+
+```shell
+b'507974686f6e33'
+```
+
+This converts each byte of `'Python3'` into a two-character hexadecimal value, producing a readable byte representation.
+
+## Codebyte Example: Converting to Hexadecimal and Decoding to String
+
+This codebyte demonstrates converting binary data into its hexadecimal representation using `.hexlify()`:
+
+```codebyte/python
+import binascii
+
+# Original binary data
+data = b'OpenAI'
+print("Original data:", data)
+
+# Convert to hexadecimal
+hexed = binascii.hexlify(data)
+print("Hexlified:", hexed)
+
+# Convert to a readable string
+print("Hex as string:", hexed.decode('ascii'))
+```

From 5e334a60798c0e7e50f186ee5520f66f8decef40 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Wed, 29 Oct 2025 14:41:31 +0530
Subject: [PATCH 252/332] [Edit] Python: .fill()  (#7892)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* Fix typo in fill.md title from '.fiil()' to '.fill()'

---------
---
 content/numpy/concepts/ndarray/terms/fill/fill.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/numpy/concepts/ndarray/terms/fill/fill.md b/content/numpy/concepts/ndarray/terms/fill/fill.md
index 52b61667a14..4d03a935bdd 100644
--- a/content/numpy/concepts/ndarray/terms/fill/fill.md
+++ b/content/numpy/concepts/ndarray/terms/fill/fill.md
@@ -1,5 +1,5 @@
 ---
-Title: '.fiil()'
+Title: '.fill()'
 Description: 'Fills a NumPy array with a specified scalar value.'
 Subjects:
   - 'Code Foundations'

From c88ad7be755fe30798710e4b10d1ba5fa8bf78f9 Mon Sep 17 00:00:00 2001
From: Ananya44444 <ananyagupt2006@gmail.com>
Date: Wed, 29 Oct 2025 14:48:31 +0530
Subject: [PATCH 253/332] Added dot.md (#7837)

* added dot.md

* Enhance documentation for ndarray.dot() method

Updated the dot product method documentation to clarify its behavior for different dimensional arrays and improved the syntax and example sections.

* Update dot.md with return value information

Added return value details for the dot product operation.

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../numpy/concepts/ndarray/terms/dot/dot.md   | 101 ++++++++++++++++++
 1 file changed, 101 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/dot/dot.md

diff --git a/content/numpy/concepts/ndarray/terms/dot/dot.md b/content/numpy/concepts/ndarray/terms/dot/dot.md
new file mode 100644
index 00000000000..91f82c7f601
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/dot/dot.md
@@ -0,0 +1,101 @@
+---
+Title: '.dot()'
+Description: 'Computes the dot product of two arrays.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Linear Algebra'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.dot()`** method computes the dot product of an array with another array or scalar. For one-dimensional arrays, it calculates the standard inner product of vectors. When applied to two-dimensional arrays, it performs matrix multiplication. For arrays with higher dimensions, it executes a sum-product over the last axis of the first array and the second-to-last axis of the second array.
+
+## Syntax
+
+```pseudo
+ndarray.dot(b, out=None)
+```
+
+**Parameters:**
+
+- `ndarray`: The first array (A) in the dot product operation (A $\cdot$ B).
+- `b`: The second array (B) or scalar in the dot product operation.
+- `out` (optional): An alternative output array to place the result in. It must have the same shape and buffer length as the expected output, but the type will be cast if necessary.
+
+**Return value:**
+
+Returns the dot product as a scalar, 2-D array, or ndarray, depending on the input dimensions.
+
+## Example
+
+This example shows how to use the `.dot()` method for matrix multiplication between two 2D NumPy arrays, `matrix_a` and `matrix_b`:
+
+```py
+# Import NumPy
+import numpy as np
+
+# Create the first 2x3 matrix
+matrix_a = np.array([[1, 2, 3],
+                     [4, 5, 6]])
+
+# Create the second 3x2 matrix
+matrix_b = np.array([[7, 8],
+                     [9, 10],
+                     [11, 12]])
+
+# Use the '.dot()' method for matrix multiplication (2x3 @ 3x2 = 2x2)
+result_matrix = matrix_a.dot(matrix_b)
+
+print("Matrix A:")
+print(matrix_a)
+print("\nMatrix B:")
+print(matrix_b)
+print("\nResult (A.dot(B)):")
+print(result_matrix)
+```
+
+The output of the above code will be:
+
+```shell
+Matrix A:
+[[1 2 3]
+ [4 5 6]]
+
+Matrix B:
+[[ 7  8]
+ [ 9 10]
+ [11 12]]
+
+Result (A.dot(B)):
+[[ 58  64]
+ [139 154]]
+```
+
+## Codebyte Example
+
+In the following codebyte example, the `.dot()` method is used to calculate the inner product (dot product) of two one-dimensional vectors, `vector_x` and `vector_y`:
+
+```codebyte/python
+import numpy as np
+
+# Create two 1-D arrays (vectors)
+vector_x = np.array([1, 2, 3])
+vector_y = np.array([5, 6, 7])
+
+# Calculate the inner product (dot product)
+dot_product = vector_x.dot(vector_y)
+
+print(f"Vector x: {vector_x}")
+print(f"Vector y: {vector_y}")
+print(f"Dot product (x.dot(y)): {dot_product}")
+```
+
+Calculation breakdown:
+
+$$\vec{x} \cdot \vec{y} = (1 \times 5) + (2 \times 6) + (3 \times 7) = 5 + 12 + 21 = 38$$

From 4b2caa8ad0af55e0d8706b453a6935b810f56dac Mon Sep 17 00:00:00 2001
From: Tia-ani <25anishkakhurana@gmail.com>
Date: Wed, 29 Oct 2025 16:32:03 +0530
Subject: [PATCH 254/332] Add documentation for Python binascii.a2b_hex()
 method (#7708)

* Added new entry a2b-base16

* fixed some content

* Update content/python/concepts/binascii-module/terms/a2b-hex/a2b-hex.md

---------
---
 .../binascii-module/terms/a2b-hex/a2b-hex.md  | 85 +++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/a2b-hex/a2b-hex.md

diff --git a/content/python/concepts/binascii-module/terms/a2b-hex/a2b-hex.md b/content/python/concepts/binascii-module/terms/a2b-hex/a2b-hex.md
new file mode 100644
index 00000000000..3c55bfa4667
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/a2b-hex/a2b-hex.md
@@ -0,0 +1,85 @@
+---
+Title: '.a2b_hex()'
+Description: 'Decodes a hexadecimal (base-16) encoded ASCII string into the original binary data (bytes).'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Encoding'
+  - 'Functions'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`binascii.a2b_hex()`** function in Python decodes a hexadecimal (base-16) encoded ASCII string into its original binary form. It translates pairs of hexadecimal digits into corresponding byte values, effectively reversing the process of hex encoding.
+
+## Syntax
+
+```pseudo
+binascii.a2b_hex(string)
+```
+
+**Parameters:**
+
+- `string`: A bytes or bytearray object containing hexadecimal (base-16) encoded data. Each pair of hex digits represents one byte, so the length must be even.
+
+**Return value:**
+
+Returns a bytes object containing the binary data decoded from the given hexadecimal input.
+
+**Exceptions:**
+
+Raises `binascii.Error` if the input contains an odd number of hexadecimal digits or contains invalid characters.
+
+## Example
+
+In this example, the hexadecimal string `"48656C6C6F"` is decoded into its corresponding binary data and then interpreted as ASCII text:
+
+```py
+import binascii
+
+# Convert hexadecimal string to binary
+hex_string = "48656C6C6F"
+binary_data = binascii.a2b_hex(hex_string)
+
+print("Hexadecimal:", hex_string)
+print("Binary data:", binary_data)
+print("Decoded text:", binary_data.decode('utf-8'))
+```
+
+The output of this code is:
+
+```shell
+Hexadecimal: 48656C6C6F
+Binary data: b'Hello'
+Decoded text: Hello
+```
+
+## Codebyte Example
+
+Run the following code to see `.a2b_hex()` in action with different scenarios:
+
+```codebyte/python
+import binascii
+
+# Example 1: Convert hexadecimal to binary
+hex_data = "50797468"
+result = binascii.a2b_hex(hex_data)
+print("Hex:", hex_data)
+print("Binary:", result)
+print("As text:", result.decode('utf-8'))
+
+# Example 2: Uppercase and lowercase work the same
+hex_upper = "414243"
+hex_lower = "414243"
+print("\nUppercase result:", binascii.a2b_hex(hex_upper))
+print("Lowercase result:", binascii.a2b_hex(hex_lower))
+
+# Example 3: Converting numeric data
+hex_numbers = "010203040A0B0C"
+binary_numbers = binascii.a2b_hex(hex_numbers)
+print("\nHex numbers:", hex_numbers)
+print("Binary:", binary_numbers)
+print("Byte values:", list(binary_numbers))
+```

From 73e1467c699adb3a3681854daed95a9296987c40 Mon Sep 17 00:00:00 2001
From: Aaravthk <86779841+Aaravthk@users.noreply.github.com>
Date: Wed, 29 Oct 2025 18:12:18 +0700
Subject: [PATCH 255/332] Add extend() for collections.deque in python (#7775)

* Added pop.md

* Added extend.md

* minor changes

* Removed pop.md

---------
---
 .../concepts/deque/terms/extend/extend.md     | 77 +++++++++++++++++++
 1 file changed, 77 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/extend/extend.md

diff --git a/content/python/concepts/deque/terms/extend/extend.md b/content/python/concepts/deque/terms/extend/extend.md
new file mode 100644
index 00000000000..7021c05c349
--- /dev/null
+++ b/content/python/concepts/deque/terms/extend/extend.md
@@ -0,0 +1,77 @@
+---
+Title: 'extend()'
+Description: 'Adds multiple elements to the right end of a deque from any iterable.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Algorithms'
+  - 'Collections'
+  - 'Data Structures'
+  - 'Deques'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`extend()`** method adds multiple elements to the right end of a `deque` from any iterable (like a [list](https://www.codecademy.com/resources/docs/python/lists), [tuple](https://www.codecademy.com/resources/docs/python/tuples), or another deque). It modifies the deque in place and returns `None`.
+
+## Syntax
+
+```pseudo
+deque.extend(iterable)
+```
+
+**Parameters:**
+
+- `iterable`: A sequence or iterable whose elements will be added to the right end of the deque.
+
+**Return value:**
+
+This method does not return any value. It modifies the deque in-place.
+
+## Example
+
+In this example, `extend()` adds elements from a list and another deque to the right end of a deque:
+
+```py
+from collections import deque
+
+# Create a deque
+dq = deque([1, 2, 3])
+
+# Extend it
+dq.extend([4, 5, 6])
+print("Extending with list: ", dq)
+
+#Extend it using another deque
+dq.extend(deque([7, 8, 9]))
+print("Extending with another deque: ", dq)
+```
+
+This example results in the following output:
+
+```shell
+Extending with list: deque([1, 2, 3, 4, 5, 6])
+Extending with another deque: deque([1, 2, 3, 4, 5, 6, 7, 8, 9])
+```
+
+## Codebyte Example: Extending a deque with a list and a tuple
+
+In this example, `extend()` adds elements from a list and a tuple, demonstrating its ability to handle different iterables:
+
+```codebyte/python
+from collections import deque
+
+# Create a deque with some initial elements
+fruits = deque(["apple","banana"])
+
+print("Initital deque:", fruits)
+
+# Add multiple elements to the right using extend()
+fruits.extend(["cherry", "date", "elderberry"])
+
+# Extend again using a tuple
+fruits.extend(("fig", "grape"))
+print("Deque after extending with a tuple:", fruits)
+```

From 1b930d77bdae37ee54610042528f244d4a86f190 Mon Sep 17 00:00:00 2001
From: Bhuswarna Kashyap <bhuswarnakashyap@gmail.com>
Date: Wed, 29 Oct 2025 17:26:25 +0530
Subject: [PATCH 256/332] Feat: Add .logical_not() term entry under tensor
 operations (#7805)

* add PyTorch logical-not

* remove markdown

* remove note

* modify python example

* Refine .logical_not() documentation

Updated the description and parameters of the .logical_not() function for clarity and consistency. Adjusted examples and terminology for improved readability.

---------
---
 .../terms/logical-not/logical-not.md          | 82 +++++++++++++++++++
 1 file changed, 82 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/logical-not/logical-not.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/logical-not/logical-not.md b/content/pytorch/concepts/tensor-operations/terms/logical-not/logical-not.md
new file mode 100644
index 00000000000..c4f19f1b38a
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/logical-not/logical-not.md
@@ -0,0 +1,82 @@
+---
+Title: '.logical_not()'
+Description: 'Performs element-wise logical NOT on boolean tensors, returning a tensor where each element is the boolean negation of the input.'
+Subjects:
+  - 'AI'
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'Booleans'
+  - 'Functions'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+In PyTorch, the **`.logical_not()`** function performs an element-wise logical negation on a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It returns a tensor where each element is `True` if the corresponding input is `False`, and `False` otherwise. For non-boolean tensors, zeros are treated as `False` and non-zeros as `True`.
+
+This function is commonly used in masking, boolean indexing, and creating complement conditions.
+
+## Syntax
+
+```pseudo
+torch.logical_not(input, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input tensor containing boolean or numeric values.
+- `out` (Optional): A tensor to store the result. It must have the same shape as the output. The dtype is typically `torch.bool`, but integer types that can represent `0` and `1` (like `torch.int16`) are also supported. The results are stored as `1` for `True` and `0` for `False`.
+
+**Return value:**
+
+Returns a new tensor containing the element-wise logical negation of the input tensor.
+
+## Example
+
+The following example demonstrates the use of `.logical_not()` for masking and boolean inversion:
+
+```py
+import torch
+
+# Create a boolean tensor
+mask = torch.tensor([True, False, True, False])
+
+# Element-wise logical NOT
+inv = torch.logical_not(mask)
+
+print('mask:', mask)
+print('logical_not(mask):', inv)
+
+# Use logical_not to invert a condition from a numeric tensor
+vals = torch.tensor([0.0, 1.5, -2.0, 0.0])
+cond = vals > 0
+cond_inv = torch.logical_not(cond)
+
+print('\nvals:', vals)
+print('cond (vals > 0):', cond)
+print('cond inverted with logical_not:', cond_inv)
+
+# Numeric input — zeros are False, non-zeros are True
+print(torch.logical_not(torch.tensor([0., 2.45, -20., 3.8], dtype=torch.double)))
+
+# Using an integer out tensor (int16) to store 0/1 results
+out_buf = torch.empty(4, dtype=torch.int16)
+print(torch.logical_not(torch.tensor([0., 2.45, -20., 3.8], dtype=torch.double), out=out_buf))
+```
+
+The above code produces the following output:
+
+```shell
+mask: tensor([ True, False,  True, False])
+logical_not(mask): tensor([False,  True, False,  True])
+
+vals: tensor([ 0.0000,  1.5000, -2.0000,  0.0000])
+cond (vals > 0): tensor([False,  True, False, False])
+cond inverted with logical_not: tensor([ True, False,  True,  True])
+tensor([ True, False, False, False])
+tensor([1, 0, 0, 0], dtype=torch.int16)
+```

From 1b14fee9723db32b9115b6208703a9aaffa02f32 Mon Sep 17 00:00:00 2001
From: Alessandro Capialbi <capialbi.alessandro@studenti-ittfedifermi.edu.it>
Date: Wed, 29 Oct 2025 13:01:47 +0100
Subject: [PATCH 257/332] [Term Entry] PyTorch lerp() entry (#7615)

* init: creation of log10 and init metadata

* docs: syntax and example

* fix: tensor reference link

* docs: pytorch lerp

* minor wording fixes

* fix: deleting log10.md from lerp branch

* fix: deleting log10.md from lerp branch and minor wording issues

---------
---
 .../tensor-operations/terms/lerp/lerp.md      | 60 +++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/lerp/lerp.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/lerp/lerp.md b/content/pytorch/concepts/tensor-operations/terms/lerp/lerp.md
new file mode 100644
index 00000000000..d9435620ff4
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/lerp/lerp.md
@@ -0,0 +1,60 @@
+---
+Title: '.lerp()'
+Description: 'Returns a tensor containing the linear interpolation of two tensors, controlled by a scalar or tensor weight.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.lerp()`** function computes the linear interpolation between an input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) (`input`) and an end tensor (`end`), using a scalar or tensor `weight`. This is mathematically equivalent to applying the function $out_i = start_i + weight_i * (end_i - start_i)$.
+
+The shapes of `input`, `end`, and `weight` must be [broadcastable](https://www.codecademy.com/resources/docs/numpy/array-broadcasting).
+
+## Syntax
+
+```pseudo
+torch.lerp(input, end, weight, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input tensor containing the initial points.
+- `end`: The ending tensor containing the finishing points.
+- `weight`: The shapes of input, end, and weight must be [broadcastable](https://www.codecademy.com/resources/docs/numpy/array-broadcasting).
+- `out` (optional): A tensor to store the output. If provided, the result is written to this tensor.
+
+**Return value:**
+
+Returns a new tensor containing the result given by the interpolation formula.
+
+## Example
+
+The following example shows how to compute the interpolation between two tensors using `torch.lerp()` with a float scalar weight:
+
+```py
+import torch
+import math
+
+# Define two tensors
+start = torch.tensor([12.0 , 14.0 , 16.0 , math.log(2.)])
+end = torch.tensor([11.0 , 13.0 , 15.0 , math.log(2.)])
+
+# Compute the interpolation with a float weight
+out = torch.lerp(start, end, 0.8)
+
+print(out)
+```
+
+Here is the output:
+
+```shell
+tensor([11.2000, 13.2000, 15.2000,  0.6931])
+```

From b27f6c321d539f9ae83cdab0711b50abc5cc2ace Mon Sep 17 00:00:00 2001
From: Yuval Levental <yhl3051@g.rit.edu>
Date: Wed, 29 Oct 2025 08:18:22 -0400
Subject: [PATCH 258/332] Add .axis() term entry for matplotlib pyplot (Issue
 #7815) (#7876)

* Add .axis() function documentation with output images

* Refine examples and outputs in axis.md

Updated example outputs and descriptions for clarity.

* Update axis.md

---------

Co-authored-by: Mamta Wardhani <mamta.wardhani@gmail.com>
Co-authored-by: Daksha Deep <dakshadeep1234@gmail.com>
---
 .../concepts/pyplot/terms/axis/axis.md        | 120 ++++++++++++++++++
 media/matplotlib-axis-example1.png            | Bin 0 -> 39541 bytes
 media/matplotlib-axis-example2.png            | Bin 0 -> 24844 bytes
 3 files changed, 120 insertions(+)
 create mode 100644 content/matplotlib/concepts/pyplot/terms/axis/axis.md
 create mode 100644 media/matplotlib-axis-example1.png
 create mode 100644 media/matplotlib-axis-example2.png

diff --git a/content/matplotlib/concepts/pyplot/terms/axis/axis.md b/content/matplotlib/concepts/pyplot/terms/axis/axis.md
new file mode 100644
index 00000000000..2cc172e1888
--- /dev/null
+++ b/content/matplotlib/concepts/pyplot/terms/axis/axis.md
@@ -0,0 +1,120 @@
+---
+Title: '.axis()'
+Description: 'Gets or sets the properties of the plot axes, including axis limits, scaling, and visibility.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Data'
+  - 'Graphs'
+  - 'Libraries'
+  - 'Matplotlib'
+  - 'Plotting'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.axis()`** function in Matplotlib's [`pyplot`](https://www.codecademy.com/resources/docs/matplotlib/pyplot) module gets or sets properties of the plot axes, including axis limits, aspect ratio, and visibility.
+
+## Syntax
+
+```pseudo
+matplotlib.pyplot.axis(arg=None, emit=True, **kwargs)
+```
+
+The function can be called in several ways:
+
+- `axis()`: Returns current axis limits as `(xmin, xmax, ymin, ymax)`
+- `axis([xmin, xmax, ymin, ymax])`: Sets axis limits
+- `axis(option)`: Sets axis properties using predefined options
+- `axis(**kwargs)`: Sets axis properties using keyword arguments
+
+**Parameters:**
+
+- `arg` (optional): Defines how the axes are set or displayed. Accepts the following values:
+  - A list or tuple `[xmin, xmax, ymin, ymax]` to set axis limits.
+  - `'off'` to hide the axes.
+  - `'on'` to show the axes.
+  - `'equal'`, `'scaled'`, `'tight'`, `'auto'`, `'image'`, `'square'` — control axis scaling and aspect ratio.
+- `emit` (bool, default: True): If `True`, notifies observers of axis limit changes.
+- `kwargs` (optional): Additional axis properties such as `xmin`, `xmax`, `ymin`, and `ymax`.
+
+**Return value:**
+
+Returns a [tuple](https://www.codecademy.com/resources/docs/python/tuples) `(xmin, xmax, ymin, ymax)` representing the current axis limits.
+
+## Example 1: Using `.axis()` to Control Axis Properties
+
+This example creates three subplots demonstrating different axis control modes. The first subplot uses `axis([2, 8, -0.5, 0.5])` to restrict the view to specific x and y ranges. The second subplot uses `axis('equal')` to ensure both axes use the same scale. The third subplot uses `axis('off')` to hide the axis lines, ticks, and labels:
+
+```py
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Generate sample data
+x = np.linspace(0, 10, 100)
+y = np.sin(x)
+
+# Create a basic plot
+plt.figure(figsize=(10, 4))
+
+# Subplot 1: Custom axis limits
+plt.subplot(1, 3, 1)
+plt.plot(x, y)
+plt.axis([2, 8, -0.5, 0.5])
+plt.title('Custom Limits')
+plt.grid(True, alpha=0.3)
+
+# Subplot 2: Equal aspect ratio
+plt.subplot(1, 3, 2)
+plt.plot(x, y)
+plt.axis('equal')
+plt.title('Equal Scaling')
+plt.grid(True, alpha=0.3)
+
+# Subplot 3: Axis turned off
+plt.subplot(1, 3, 3)
+plt.plot(x, y)
+plt.axis('off')
+plt.title('Hidden Axes')
+
+plt.tight_layout()
+plt.show()
+```
+
+The output of this code is:
+
+![Output of matplotlib.pyplot.axis() method example 1](https://raw.githubusercontent.com/Codecademy/docs/main/media/matplotlib-axis-example1.png)
+
+## Example 2: Getting and Setting Axis Limits
+
+This example demonstrates how to set custom axis limits and retrieve the current limits. The `axis()` function is called with a list of four values to set the x and y axis ranges, then called without arguments to return the current limits as a tuple.
+
+```py
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Create data
+x = np.linspace(0, 2*np.pi, 100)
+y = np.sin(x)
+
+# Create plot
+plt.plot(x, y, linewidth=2)
+plt.title('Sine Wave with Custom Axes')
+
+# Set custom axis limits
+plt.axis([0, 2*np.pi, -1.5, 1.5])
+
+# Get and print current axis limits
+limits = plt.axis()
+print(f"Current axis limits: {limits}")
+
+plt.grid(True, alpha=0.3)
+plt.show()
+```
+
+The output of this code is:
+
+![Output of matplotlib.pyplot.axis() method example 2](https://raw.githubusercontent.com/Codecademy/docs/main/media/matplotlib-axis-example2.png)
diff --git a/media/matplotlib-axis-example1.png b/media/matplotlib-axis-example1.png
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HcmV?d00001


From 8f226f3ae3f5d5725bec5212d7110e695236d416 Mon Sep 17 00:00:00 2001
From: Rupa <102663541+Rupa-Rd@users.noreply.github.com>
Date: Wed, 29 Oct 2025 17:52:33 +0530
Subject: [PATCH 259/332] ndarry term `.round()` is added (#7896)

* ndarry term .round() is added

* Formatted `round.md` using yarn format

* Revise round() method documentation in NumPy

Updated the documentation for the round() method in NumPy to clarify its functionality and parameters.

* Enhance .round() method description with ndarray link

Updated the description of the .round() method to include a link to the ndarray documentation.

* Fix formatting for round() method documentation

---------
---
 .../concepts/ndarray/terms/round/round.md     | 88 +++++++++++++++++++
 1 file changed, 88 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/round/round.md

diff --git a/content/numpy/concepts/ndarray/terms/round/round.md b/content/numpy/concepts/ndarray/terms/round/round.md
new file mode 100644
index 00000000000..a5c0964c6de
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/round/round.md
@@ -0,0 +1,88 @@
+---
+Title: 'round()'
+Description: 'Returns a new array with each element rounded to the specified number of decimals.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Elements'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`round()`** method in NumPy rounds each element of an [array](https://www.codecademy.com/resources/docs/numpy/ndarray) to the nearest integer or to a specified number of decimal places. Values exactly halfway between two numbers are rounded to the nearest even value (also known as banker’s rounding).
+
+## Syntax
+
+```pseudo
+ndarray.round(decimals=0, out=None)
+```
+
+**Parameters:**
+
+- `decimals` (int, optional): Number of decimal places to round to. Default is 0. Can be negative to round to the left of the decimal point.
+- `out` (ndarray, optional): An alternative output array where results are stored. Must be the same shape as the input.
+
+**Return value:**
+
+Returns an array with elements rounded to the specified number of decimals. If `out` is provided, the result is stored in that array, and a reference to it is returned.
+
+## Example 1: Round to the nearest whole number
+
+This example rounds all elements in a NumPy array to the nearest integer:
+
+```py
+import numpy as np
+
+arr = np.array([1.34566, 4.55, 7.788, 2.09, 9.45])
+rounded_arr = arr.round()
+
+print(rounded_arr)
+```
+
+This produces the following output:
+
+```shell
+[1. 5. 8. 2. 9.]
+```
+
+## Example 2: Round to specific decimal places
+
+This example rounds all elements in a NumPy array to two decimal places:
+
+```py
+import numpy as np
+
+ndarray = np.array([1.34566, 4.55, 7.788, 2.09, 9.45])
+two_decimal_places = np.round(ndarray, decimals=2)
+
+print(two_decimal_places)
+```
+
+This produces the following output:
+
+```shell
+[1.35 4.55 7.79 2.09 9.45]
+```
+
+## Codebyte Example
+
+This example shows how to round NumPy array elements to various decimal places using `round()`:
+
+```codebyte/python
+import numpy as np
+
+ndarray = np.array([1.34566, 4.55, 7.788, 2.09, 9.45])
+
+# Round off to the nearest whole number
+nearest_whole_number = np.round(ndarray)
+print(nearest_whole_number)
+
+# Round off to 2 decimal places
+two_decimal_places = np.round(ndarray, decimals=2)
+print(two_decimal_places)
+```

From b19131d40719da3502a25d352ac0847ef5f1a94e Mon Sep 17 00:00:00 2001
From: Yuval Levental <yhl3051@g.rit.edu>
Date: Wed, 29 Oct 2025 09:38:00 -0400
Subject: [PATCH 260/332] Add .igammac() term entry for PyTorch Tensor
 Operations (Issue #7793) (#7798)

* Add .igammac() term entry for PyTorch Tensor Operations (Issue #7793)

* Fix YAML formatting issues

* Revise igammac documentation for clarity and detail

Updated the documentation for the `torch.igammac()` function to clarify its purpose, parameters, and examples. Improved formatting and consistency throughout the text. (The entire entry had backward slashes)

* Update igammac.md

---------
---
 .../terms/igammac/igammac.md                  | 98 +++++++++++++++++++
 1 file changed, 98 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/igammac/igammac.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/igammac/igammac.md b/content/pytorch/concepts/tensor-operations/terms/igammac/igammac.md
new file mode 100644
index 00000000000..9d663dc0c6e
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/igammac/igammac.md
@@ -0,0 +1,98 @@
+---
+Title: '.igammac()'
+Description: 'Computes the regularized upper incomplete gamma function.'
+Subjects:
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'AI'
+  - 'Deep Learning'
+  - 'Functions'
+  - 'Machine Learning'
+  - 'PyTorch'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+The **`torch.igammac()`** function in PyTorch computes the upper regularized incomplete gamma function. This function is commonly used in probabilistic modeling, survival analysis, and statistical machine learning applications. `torch.igammac()` is an alias for `torch.special.gammaincc()`, meaning both functions compute the same values and can be used interchangeably.
+
+## Syntax
+
+```pseudo
+torch.igammac(input, other, \*, out=None)
+```
+
+This is equivalent to:
+
+```pseudo
+torch.special.gammaincc(input, other, \*, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The first non-negative input tensor representing the shape parameter (${a}$).
+- `other` (Tensor): The second non-negative input tensor representing the integration limit (${x}$).
+- `out` (Tensor, optional): The output tensor.
+
+**Return value:**
+
+Returns a tensor containing the upper regularized incomplete gamma function values for each corresponding pair of elements in `input` and `other`.
+
+> **Note:** Supports broadcasting to a common shape and requires float inputs. The backward pass with respect to `input` is not currently supported.
+
+## Example 1: Basic Element-Wise Computation
+
+In this example, `torch.igammac()` computes the upper regularized incomplete gamma function for corresponding elements of two 1D tensors:
+
+```py
+import torch
+
+a = torch.tensor([4.0])
+x = torch.tensor([3.0, 4.0, 5.0])
+
+result = torch.igammac(a, x)
+print("Upper incomplete gamma:", result)
+
+# Verify complementary relationship with igamma
+lower = torch.igamma(a, x)
+print("Sum of igamma and igammac:", lower + result)
+```
+
+This code produces the following output:
+
+```shell
+Upper incomplete gamma: tensor([0.6472, 0.4335, 0.2650])
+Sum of igamma and igammac: tensor([1., 1., 1.])
+```
+
+## Example 2: Survival Probabilities
+
+In this example, `torch.igammac()` calculates the survival probability (complement of CDF) for a gamma distribution at a given time point:
+
+```py
+import torch
+
+shape = torch.tensor([2.0, 3.0, 4.0])
+time = torch.tensor([1.5])
+
+survival_prob = torch.igammac(shape, time)
+cdf = torch.igamma(shape, time)
+
+print("Shape parameters:", shape)
+print("Time point:", time)
+print("Survival probabilities:", survival_prob)
+print("\nCDF values:", cdf)
+print("CDF + Survival:", cdf + survival_prob)
+```
+
+The output of this code is:
+
+```shell
+Shape parameters: tensor([2., 3., 4.])
+Time point: tensor([1.5])
+Survival probabilities: tensor([0.4422, 0.7127, 0.8221])
+
+CDF values: tensor([0.5578, 0.2873, 0.1779])
+CDF + Survival: tensor([1., 1., 1.])
+```

From ded542e53f443163a87111fbfb3441a12fd3a5ec Mon Sep 17 00:00:00 2001
From: Fae-coded <219414866+Fae-coded@users.noreply.github.com>
Date: Wed, 29 Oct 2025 14:12:27 +0000
Subject: [PATCH 261/332] [Term Entry] Python Keyword: async  (#7796)

* Create async keyword python entry

* Update async.md for clarity and consistency

Revised explanations of the async keyword, syntax, and examples for clarity and accuracy. Improved formatting and consistency in code examples.

* Format and lint fix

* minor fix

---------
---
 .../concepts/keywords/terms/async/async.md    | 99 +++++++++++++++++++
 1 file changed, 99 insertions(+)
 create mode 100644 content/python/concepts/keywords/terms/async/async.md

diff --git a/content/python/concepts/keywords/terms/async/async.md b/content/python/concepts/keywords/terms/async/async.md
new file mode 100644
index 00000000000..7ce3a5c0115
--- /dev/null
+++ b/content/python/concepts/keywords/terms/async/async.md
@@ -0,0 +1,99 @@
+---
+Title: 'async'
+Description: 'Allows users to define an asynchronous function in Python.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Async Await'
+  - 'Functions'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`async`** keyword defines an [asynchronous function](https://www.codecademy.com/article/wix-what-is-async-and-await) in Python. Asynchronous functions let a program handle multiple tasks concurrently without waiting for each to finish, improving efficiency and enabling non-blocking execution.
+
+## Syntax
+
+```pseudo
+import asyncio
+
+async def function_name(parameters):
+  # Function body
+  await #awaitable code
+```
+
+In the syntax:
+
+- `import asyncio`: Imports Python’s built-in library for running and managing asynchronous tasks.
+- `async`: The `async` keyword is declared before [`def`](https://www.codecademy.com/resources/docs/python/keywords/def) to define an asynchronous function (coroutine).
+- `await`: Used inside an async function to pause execution until the awaited coroutine or awaitable object completes.
+
+**Parameters:**
+
+Same as a regular function, any number of positional or keyword arguments.
+
+**Return value:**
+
+Returns a coroutine object, which must be awaited (using `await`) to get the actual result.
+
+> **Note:** If an `async` function doesn’t contain any `await` statements, it will still be valid but won’t perform any asynchronous operations.
+
+## Example 1
+
+In this example, the async function `hello()` prints the first half of 'Hello world!', waits 3 seconds, and then prints the second half:
+
+```py
+import asyncio
+
+async def hello():
+   print("Hello")
+   await asyncio.sleep(3) # Pauses for 3 seconds
+   print("world!")
+```
+
+Here is the output of this code:
+
+```shell
+Hello
+world!
+```
+
+## Example 2
+
+In this example, the `brew_tea` and `make_toast` async functions start running at the same time. `make_toast` finishes first in 3 seconds, while `brew_tea` takes 5 seconds to complete. The program waits for both tasks to finish, then prints their results together after a total of 5 seconds:
+
+```py
+import asyncio
+
+async def brew_tea():
+  print("Start brewing tea")
+  await asyncio.sleep(5) # Pauses for 5 seconds
+  return "The tea is ready!"
+
+async def make_toast():
+  print("Start making toast")
+  await asyncio.sleep(3) # Pauses for 3 seconds
+  return "The toast is ready!"
+
+async def make_breakfast():
+  batch = asyncio.gather(brew_tea(), make_toast())
+  tea_complete, toast_complete = await batch
+  print(tea_complete)
+  print(toast_complete)
+
+result = asyncio.run(make_breakfast())
+print(result)
+```
+
+The output of this code is:
+
+```shell
+Start brewing tea
+Start making toast
+The tea is ready!
+The toast is ready!
+None
+```

From 6c3becc41735e038ccdef02e717c6434947899ac Mon Sep 17 00:00:00 2001
From: Shubham Jain <shubh.j.0705@gmail.com>
Date: Wed, 29 Oct 2025 20:35:23 +0530
Subject: [PATCH 262/332] docs(matplotlib): Add new entry for pyplot.figure()
 (#7838)

* docs(matplotlib): Add new entry for pyplot.figure()

* Revise .figure() documentation for clarity

Updated the description and parameters for clarity. Improved example and output explanation.

* Update figure.md

* Update content/matplotlib/concepts/pyplot/terms/figure/figure.md

* Update content/matplotlib/concepts/pyplot/terms/figure/figure.md

* fixed formatting

---------
---
 .../concepts/pyplot/terms/figure/figure.md    |  73 ++++++++++++++++++
 media/figure_example.png                      | Bin 0 -> 28940 bytes
 2 files changed, 73 insertions(+)
 create mode 100644 content/matplotlib/concepts/pyplot/terms/figure/figure.md
 create mode 100644 media/figure_example.png

diff --git a/content/matplotlib/concepts/pyplot/terms/figure/figure.md b/content/matplotlib/concepts/pyplot/terms/figure/figure.md
new file mode 100644
index 00000000000..05e9049896e
--- /dev/null
+++ b/content/matplotlib/concepts/pyplot/terms/figure/figure.md
@@ -0,0 +1,73 @@
+---
+Title: '.figure()'
+Description: 'Creates a new figure window or activates an existing one for plotting.'
+Subjects:
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Charts'
+  - 'Graphs'
+  - 'Matplotlib'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.figure()`** function in Matplotlib creates a new top-level container, called a figure, which acts as the canvas for all plots and axes in Matplotlib. If a figure with the given identifier already exists, it makes that figure active instead.
+
+## Syntax
+
+```pseudo
+matplotlib.pyplot.figure(
+    num=None,
+    figsize=None,
+    dpi=None,
+    facecolor=None,
+    edgecolor=None,
+    frameon=True,
+    FigureClass=<class 'matplotlib.figure.Figure'>,
+    clear=False,
+    **kwargs
+)
+```
+
+**Parameters:**
+
+- `num` (int or str, optional): Identifier for the figure. If the number or name already exists, that figure becomes active; otherwise, a new one is created.
+- `figsize` (tuple, optional): Width and height of the figure in inches, e.g. `(8, 6)`.
+- `dpi` (float, optional): Dots per inch; controls the resolution of the figure.
+- `facecolor` (color, optional): Background color of the figure.
+- `edgecolor` (color, optional): Border color of the figure.
+- `frameon` (bool, default: True): Whether to draw the figure frame.
+- `FigureClass` (`Figure` subclass, optional): The class used to create the figure instance. Defaults to `matplotlib.figure.Figure`.
+- `clear` (bool, default: False): If `True`, clears the existing figure before reusing it.
+- `**kwargs`: Additional parameters passed to the `Figure` constructor.
+
+**Return value:**
+
+Returns a `Figure` object, which is the main container that holds all plot elements like axes, titles, labels, and legends.
+
+## Example
+
+This example creates a new figure canvas with a specific size and background color, then adds a simple sine wave plot to it:
+
+```py
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(0, 2 * np.pi, 100)
+y = np.sin(x)
+
+plt.figure(figsize=(8, 4), facecolor='lightblue')
+ax = plt.subplot(1, 1, 1)
+ax.plot(x, y)
+ax.set_title('Simple Sine Wave')
+ax.set_xlabel('X-axis')
+ax.set_ylabel('Y-axis')
+
+plt.show()
+```
+
+The output of this code is:
+
+![Output of matplotlib.pyplot.figure() method example](https://raw.githubusercontent.com/Codecademy/docs/main/media/figure_example.png)
diff --git a/media/figure_example.png b/media/figure_example.png
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z;-j}bv@%&4O+^d&tO<X(bXi}t8c$P?wH`XpC!aLlw{O2;Go&2XbdT&4GC9Cr2|k@<
zaInRW&lO9{5PSxMJa9I4BU!R3>x{6#{WgMLQ_Xwf(rxo6^OkSMcm)iWC$XUS+%!Fn
z2Nh5(JBO%b_YOr{y&zp)UOq=4KQUfFNX?B0r;q0OlP2!z6G>|BW&CM8ca0mq6_IBT
z!8IAvYpE@A#O)J_L1e?#E@Ea2DmMR1o4@_Tj`#nVPg(p*4vh&(R1`G8zx?5|{{S0s
B#UB6w

literal 0
HcmV?d00001


From d180acc83576b48b6a7bcbcf2e36d26ef8c90bf8 Mon Sep 17 00:00:00 2001
From: Alessandro Capialbi <capialbi.alessandro@studenti-ittfedifermi.edu.it>
Date: Wed, 29 Oct 2025 16:31:12 +0100
Subject: [PATCH 263/332] [Term Entry] PyTorch log10() (#7613)

* init: creation of log10 and init metadata

* docs: syntax and example

* fix: tensor reference link

* minor wording tweaks

* fix: minor wording tweaks

---------
---
 .../tensor-operations/terms/log10/log10.md    | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/log10/log10.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/log10/log10.md b/content/pytorch/concepts/tensor-operations/terms/log10/log10.md
new file mode 100644
index 00000000000..9923ced4323
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/log10/log10.md
@@ -0,0 +1,55 @@
+---
+Title: '.log10()'
+Description: 'Returns a tensor containing the base-10 logarithm of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.log10()`** function computes the base-10 logarithm of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). Mathematically, this is equivalent to applying the function $y_i = \log_{10}(x_i)$ element-wise, where $log_{10}$ is the base-10 logarithm.
+
+## Syntax
+
+```pseudo
+torch.log10(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor containing elements for which the logarithm will be computed.
+- `out` (optional): A tensor to store the output. If provided, the result is written to this tensor. Must have the same shape as `input`.
+
+**Return value:**
+
+Returns a new tensor where each element is the base-10 logarithm of the corresponding element in `input`.
+
+## Example
+
+The following example shows how to compute the element-wise logarithm base 10 of a tensor using `torch.log10()`:
+
+```py
+import torch
+import math
+
+# Define a tensor
+x = torch.tensor([5.0 , 6.0 , 7.0 , math.log(2.) ])
+
+# Compute the logarithm base 10
+result = torch.log10(x)
+
+print(result)
+```
+
+Here is the output:
+
+```shell
+tensor([ 0.6990,  0.7782,  0.8451, -0.1592])
+```

From fd6e94241a2b36ff3640488555678ad32b85228f Mon Sep 17 00:00:00 2001
From: SRIKARTIK MATETI <matetikartik1999@gmail.com>
Date: Wed, 29 Oct 2025 21:32:16 +0530
Subject: [PATCH 264/332] [Term Entry] Python NumPy - ndarray: size (#7877)

* Adding xlim plot

* Add files via upload

* Add NumPy .size() documentation example

* Refactor documentation for NumPy's size attribute

Updated the documentation for the `.size` attribute in NumPy to use backticks for formatting and added clarity to examples and descriptions.

* Remove unwanted image files

---------
---
 .../numpy/concepts/ndarray/terms/size/size.md | 85 +++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/size/size.md

diff --git a/content/numpy/concepts/ndarray/terms/size/size.md b/content/numpy/concepts/ndarray/terms/size/size.md
new file mode 100644
index 00000000000..4b540fe545f
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/size/size.md
@@ -0,0 +1,85 @@
+---
+Title: 'size'
+Description: 'Returns the number of elements in a NumPy array.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Attributes'
+  - 'NumPy'
+  - 'Properties'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+NumPy’s **`size`** attribute is used to find the total number of elements in an array.
+
+## Syntax
+
+```pseudo
+ndarray.size
+```
+
+**Parameters:**
+
+`size` doesn’t take any parameters because it’s an attribute, not a method.
+
+**Return value:**
+
+Returns an integer representing the total number of elements in the array.
+
+## Example 1: Getting the Size of an Array Using `size`
+
+In this example, the code prints the total number of elements in the array:
+
+```py
+import numpy as np
+
+np_array = np.array([[1, 2, 3], [4, 5, 6]])
+print(np_array.size)
+```
+
+The output of this code is:
+
+```shell
+6
+```
+
+The array has 2 rows × 3 columns = 6 elements in total.
+
+## Example 2: Comparing `.shape` and `.size`
+
+In this example, `shape` displays the array’s dimensions, while `size` shows the total number of elements in the array:
+
+```py
+import numpy as np
+
+arr = np.array([[10, 20, 30], [40, 50, 60]])
+print("Shape:", arr.shape)
+print("Size:", arr.size)
+```
+
+The output of this code is:
+
+```shell
+Shape: (2, 3)
+Size: 6
+```
+
+`shape` returns the dimensions of the array, while `size` gives the total number of elements.
+
+## Codebyte Example: Using `.size` in a NumPy Operation
+
+In this example, `size` returns the total number of elements (12) in a reshaped 3×4 NumPy array:
+
+```codebyte/python
+import numpy as np
+
+array = np.arange(12).reshape(3, 4)
+print("Array:")
+print(array)
+
+print("Total elements:", array.size)
+```

From ca80eb6fdebb3494d07de0a5839b57bf5078b0c6 Mon Sep 17 00:00:00 2001
From: Ananya44444 <ananyagupt2006@gmail.com>
Date: Wed, 29 Oct 2025 21:43:20 +0530
Subject: [PATCH 265/332] added nbytes.md (#7836)

* added nbytes.md

* Revise .nbytes documentation for clarity and detail

Updated the description and parameters for the .nbytes attribute in the NumPy documentation. Improved clarity and consistency in examples.

* Enhance `.nbytes` description with documentation link

Updated the description of the `.nbytes` attribute to include a link to the NumPy array documentation.

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../concepts/ndarray/terms/nbytes/nbytes.md   | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/nbytes/nbytes.md

diff --git a/content/numpy/concepts/ndarray/terms/nbytes/nbytes.md b/content/numpy/concepts/ndarray/terms/nbytes/nbytes.md
new file mode 100644
index 00000000000..b8852ebe500
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/nbytes/nbytes.md
@@ -0,0 +1,76 @@
+---
+Title: '.nbytes'
+Description: 'Returns the total number of bytes consumed by the elements of the array.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Attributes'
+  - 'Memory'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.nbytes`** attribute returns the total number of bytes consumed by the elements of a [NumPy array](https://www.codecademy.com/resources/docs/numpy/ndarray). This value is calculated as the product of the number of elements in the array (given by `.size`) and the number of bytes per element (given by `.itemsize`).
+
+## Syntax
+
+```pseudo
+ndarray.nbytes
+```
+
+**Parameters:**
+
+The `.nbytes` attribute takes no parameters.
+
+**Return value:**
+
+Returns an integer representing the total number of bytes consumed by the array elements.
+
+## Example
+
+The following example creates a one-dimensional NumPy array `arr` with 12 elements. The `.nbytes` attribute reports the total bytes used by all array elements. On a 64-bit system where the default integer type (`int64`) uses 8 bytes per element, $12 \text{ elements} \times 8 \text{ bytes}/\text{element} = 96 \text{ bytes}$:
+
+```py
+# Import NumPy
+import numpy as np
+
+# Create a NumPy array with 12 elements (default type is usually int64, or 8 bytes per item)
+arr = np.arange(12)
+
+# Use the '.nbytes' attribute
+total_bytes_nbytes = arr.nbytes
+
+print(f"Array: {arr}")
+print(f"Bytes per element (.itemsize): {arr.itemsize}")
+print(f"Total number of elements (.size): {arr.size}")
+print(f"Total bytes consumed (.nbytes): {total_bytes_nbytes}")
+```
+
+The result will be similar to the following (the value of `arr.itemsize` might vary based on system architecture):
+
+```shell
+Array: [ 0  1  2  3  4  5  6  7  8  9 10 11]
+Bytes per element (.itemsize): 8
+Total number of elements (.size): 12
+Total bytes consumed (.nbytes): 96
+```
+
+## Codebyte Example
+
+The example below demonstrates a two-dimensional NumPy array `arr` with a specified data type (`float32`). Since `float32` uses 4 bytes per element and the array contains $2 \times 3 = 6$ elements, the total memory consumed is $6 \times 4 = 24$ bytes:
+
+```codebyte/python
+import numpy as np
+
+# Create a 2x3 array of type float32 (4 bytes per element)
+arr = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], dtype=np.float32)
+
+print(f"Array shape: {arr.shape}")
+print(f"Array data type: {arr.dtype}")
+print(f"Bytes per element (.itemsize): {arr.itemsize}")
+print(f"Bytes consumed by elements (.nbytes): {arr.nbytes}")
+```

From 2f2ad45c51483f9ba3d38a2d0959c4d989fb5d33 Mon Sep 17 00:00:00 2001
From: Antonio Alcaide
 <127252590+AntonioAlcaideMoreno@users.noreply.github.com>
Date: Thu, 30 Oct 2025 06:40:55 +0100
Subject: [PATCH 266/332] Added logaddexp2.md document, explaining how the
 method works in Pytorch (#7647)lh;;;;lllll

* Added logaddexp2.md document, explaining how the method works in Pytorch

* minor updates

---------
---
 .../terms/logaddexp2/logaddexp2.md            | 53 +++++++++++++++++++
 1 file changed, 53 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/logaddexp2/logaddexp2.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/logaddexp2/logaddexp2.md b/content/pytorch/concepts/tensor-operations/terms/logaddexp2/logaddexp2.md
new file mode 100644
index 00000000000..444075ab480
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/logaddexp2/logaddexp2.md
@@ -0,0 +1,53 @@
+---
+Title: '.logaddexp2()'
+Description: 'Computes the logarithm of the sum of exponentials of two tensors in base 2.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'learn-pytorch'
+  - 'intro-to-py-torch-and-neural-networks'
+---
+
+In PyTorch, the **`.logaddexp2()`** function computes the element-wise $$log_2(2^x + 2^y)$$ of the given [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) inputs.
+
+## Syntax
+
+```pseudo
+torch.logaddexp2(input,other,*,out=None)
+```
+
+**Parameters:**
+
+- `input`: The first input tensor
+- `other`: The second input tensor
+- `out`: The output tensor to store the result. Default is `None`.
+
+**Return value:**
+
+The `torch.logaddexp2()` method returns a tensor containing the element-wise logarithm (base 2) of the sum of exponentials of the corresponding elements in the input tensors.
+
+## Example
+
+In this example, `torch.logaddexp2()` is used to combine two tensors into a single tensor by computing their log-sum in base 2:
+
+```py
+import torch
+
+# Example tensors
+x = torch.tensor([1.0, 2.0, 3.0])
+y = torch.tensor([0.5, 2.5, 1.5])
+
+# Compute logaddexp2
+result = torch.logaddexp2(x, y)
+print(result)
+```
+
+This code will produce the following output:
+
+```shell
+tensor([1.7716, 3.2716, 3.4368])
+```

From b3063eac8ed91656d33e34e5b8d5964ae6dd8ea7 Mon Sep 17 00:00:00 2001
From: OSCAR-ORO <oro106@gmail.com>
Date: Thu, 30 Oct 2025 07:30:05 +0100
Subject: [PATCH 267/332] [Concept Entry] JavaScript: Template Literals

* Add JS template-literal concept to Docs

* Revise template literals documentation

Updated the description and subjects for clarity. Improved examples and formatting for template literals.

* Enhance template literals description with resource link

Updated the description of template literals to include a link to string resources.

* Minor changes

---------
---
 .../template-literals/template-literals.md    | 143 ++++++++++++++++++
 1 file changed, 143 insertions(+)
 create mode 100644 content/javascript/concepts/template-literals/template-literals.md

diff --git a/content/javascript/concepts/template-literals/template-literals.md b/content/javascript/concepts/template-literals/template-literals.md
new file mode 100644
index 00000000000..4302f85e7a0
--- /dev/null
+++ b/content/javascript/concepts/template-literals/template-literals.md
@@ -0,0 +1,143 @@
+---
+Title: 'Template Literals'
+Description: 'Define strings enclosed in backticks that allow embedded expressions using dollar sign and curly braces and support multi-line text in JavaScript.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'ES6'
+  - 'JavaScript'
+  - 'Strings'
+  - 'Syntax'
+CatalogContent:
+  - 'learn-javascript'
+  - 'paths/full-stack-engineer-career-path'
+---
+
+**Template literals** are [string](https://www.codecademy.com/resources/docs/python/strings) literals in JavaScript that allow embedded expressions, multi-line strings, and more readable string formatting. Introduced in ES6, they make string manipulation more powerful and expressive than traditional concatenation.
+
+Template literals are enclosed by **backticks** (`` ` ``) instead of single or double quotes.
+
+## Syntax
+
+Template literals use backticks (`` ` ``) to define the string. To embed expressions, use `${expression}` within the template literal. The syntax is as follows:
+
+```pseudo
+`string text`
+
+`string text ${expression} string text`
+
+`string text line 1
+ string text line 2`
+```
+
+- Backticks (`` ` ``): Define the template literal.
+- `${expression}`: Placeholder for JavaScript expressions, which can include variables, calculations, or function calls.
+- Multi-line support: Line breaks within backticks are preserved, eliminating the need for `\n`.
+
+## Using Template Literals
+
+Template literals simplify string concatenation by allowing variables or expressions to be embedded directly:
+
+```js
+const name = 'Oscar';
+const greeting = `Hello, ${name}!`;
+console.log(greeting);
+```
+
+The output of this code is:
+
+```shell
+Hello, Oscar!
+```
+
+In this example, the variable `name` is embedded using `${}`. This is more readable than traditional concatenation (`"Hello, " + name + "!"`).
+
+## Multi-line Strings
+
+Template literals make multi-line strings straightforward without needing explicit newline characters:
+
+```js
+const poem = `
+  Roses are red,
+  Violets are blue,
+  JavaScript is fun,
+  And so are you!
+`;
+console.log(poem);
+```
+
+The output for this is:
+
+```shell
+
+  Roses are red,
+  Violets are blue,
+  JavaScript is fun,
+  And so are you!
+```
+
+The output preserves the line breaks as written, making it ideal for formatting text like HTML or poetry.
+
+## Expression Interpolation
+
+Template literals can include any valid JavaScript expression inside `${}`:
+
+```js
+const a = 6;
+const b = 12;
+const result = `Sum = ${a + b}`;
+console.log(result);
+```
+
+The output here is:
+
+```shell
+Sum = 18
+```
+
+Expressions can also include function calls or complex calculations:
+
+```js
+const getName = () => 'Oscar';
+const message = `Hi, ${getName()}! Your score is ${Math.random() * 100}.`;
+console.log(message);
+```
+
+The output of this code is:
+
+```shell
+Hi, Oscar! Your score is 87.62799470776743.
+```
+
+## Tagged Template Literals
+
+Template literals can be combined with a tag function to customize how the strings and expressions are processed:
+
+```js
+function myTag(strings, ...values) {
+  return strings[0] + values[0].toUpperCase() + strings[1];
+}
+const name = 'Oscar';
+const tagged = myTag`Hello, ${name}!`;
+console.log(tagged);
+```
+
+The output of this code is:
+
+```shell
+Hello, OSCAR!
+```
+
+Here, `myTag` is a custom function that manipulates the template literal’s parts. The `strings` parameter holds the static parts, and `values` contains the evaluated expressions.
+
+## Codebyte Example
+
+In this example, template literals are used to embed variables directly into a string. The placeholders `${user}` and `${age}` are replaced with their values when the string is evaluated, producing a readable, formatted output without using concatenation:
+
+```codebyte/javascript
+const user = "Oscar";
+const age = 25;
+const info = `User: ${user}, Age: ${age}`;
+console.log(info);
+```

From a2c51d116efdd8b94e3eb7f2047759e1026430b0 Mon Sep 17 00:00:00 2001
From: SRIKARTIK MATETI <matetikartik1999@gmail.com>
Date: Thu, 30 Oct 2025 12:10:16 +0530
Subject: [PATCH 268/332] [Term Entry] Python:Matplotlib Pyplot: .xlim()

* Adding xlim plot

* Add files via upload

* Delete media/xlim-Plot-1.png

* Add clean xlim example with images and markdown

* Add clean xlim example with images and markdown

* Revise .xlim() documentation for clarity

Updated the description and examples for the .xlim() function in Matplotlib documentation for clarity and consistency.

* Refine wording in xlim.md for clarity

* Minor changes

---------
---
 .../concepts/pyplot/terms/xlim/xlim.md        |  94 ++++++++++++++++++
 media/xlim-Plot-1.png                         | Bin 0 -> 34498 bytes
 media/xlim-Plot-2.png                         | Bin 0 -> 24138 bytes
 3 files changed, 94 insertions(+)
 create mode 100644 content/matplotlib/concepts/pyplot/terms/xlim/xlim.md
 create mode 100644 media/xlim-Plot-1.png
 create mode 100644 media/xlim-Plot-2.png

diff --git a/content/matplotlib/concepts/pyplot/terms/xlim/xlim.md b/content/matplotlib/concepts/pyplot/terms/xlim/xlim.md
new file mode 100644
index 00000000000..1b73ada5d4f
--- /dev/null
+++ b/content/matplotlib/concepts/pyplot/terms/xlim/xlim.md
@@ -0,0 +1,94 @@
+---
+Title: '.xlim()'
+Description: 'Gets or sets the x-axis limits of the current axes in a Matplotlib plot.'
+Subjects:
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Functions'
+  - 'Matplotlib'
+  - 'Subplots'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.xlim()`** function in `matplotlib.pyplot` is used to get or set the x-axis limits of the current plot. It helps control the visible range of data on the x-axis, zoom in on specific sections, or maintain consistent axis ranges across multiple plots.
+
+The primary use cases for `.xlim()` include:
+
+- Focusing on a particular range of x-values.
+- Maintaining consistent axis scaling between multiple plots.
+- Preventing automatic resizing that hides important data.
+
+## Syntax
+
+```pseudo
+matplotlib.pyplot.xlim(*args, **kwargs)
+```
+
+**Parameters:**
+
+The function accepts the following keyword arguments:
+
+- `left` or `xmin` (float, optional): Lower limit of the x-axis.
+- `right` or `xmax` (float, optional): Upper limit of the x-axis.
+- `emit` (bool, default: True): Whether observers are notified of the axis limit change (default: True).
+- `auto` (bool, default: True): If `True`, turns on automatic scaling.
+
+**Return value:**
+
+The `.xlim()` function returns a tuple (xmin, xmax) representing the current x-axis limits.
+
+## Example 1: Setting Custom X-Axis Limits
+
+This example shows how to set specific x-axis limits using `.xlim()`:
+
+```py
+import matplotlib.pyplot as plt
+import numpy as np
+
+x = np.linspace(0, 20, 100)
+y = np.sin(x)
+
+plt.plot(x, y, color='purple', linewidth=2)
+plt.title('Sine Wave with Custom X Limits')
+plt.xlabel('X')
+plt.ylabel('sin(x)')
+
+# Set x-axis limits
+plt.xlim(0, 10)
+
+plt.grid(True)
+plt.show()
+```
+
+The output generated by this code will be:
+
+![Line plot showing sine wave with limited x-axis range](https://raw.githubusercontent.com/Codecademy/docs/main/media/xlim-Plot-1.png)
+
+This code plots a sine wave from 0 to 20 on the x-axis, but the `plt.xlim(0, 10)` command restricts the visible range to data between x = 0 and x = 10. As a result, only the first half of the sine wave is displayed. The curve appears smooth and purple, with grid lines and labeled axes for clarity.
+
+## Example 2: Getting Current X-Axis Limits
+
+Calling `.xlim()` without arguments retrieves the current x-axis limits:
+
+```py
+import matplotlib.pyplot as plt
+
+plt.plot([0, 1, 2, 3], [10, 20, 25, 30])
+print(plt.xlim())  # Outputs current x-axis limits
+plt.show()
+```
+
+The output generated by this code will be:
+
+![Line plot of points (0,10), (1,20), (2,25), (3,30) with automatically determined x-axis limits](https://raw.githubusercontent.com/Codecademy/docs/main/media/xlim-Plot-2.png)
+
+In this case, the output is:
+
+```shell
+(np.float64(-0.15), np.float64(3.15))
+```
+
+This indicates that Matplotlib automatically adds a small margin around the plotted points for better visualization. The `.xlim()` function can also be applied after plotting to dynamically adjust the x-axis limits, as demonstrated in Example 1.
diff --git a/media/xlim-Plot-1.png b/media/xlim-Plot-1.png
new file mode 100644
index 0000000000000000000000000000000000000000..5f92280bbc08a1d0e48bef29c10c4d18f0d5c309
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From 2004a9bbc5ae8989d6ff0f450144229d6027e4d6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Szkil?=
 <49024368+michalszkil@users.noreply.github.com>
Date: Thu, 30 Oct 2025 07:42:08 +0100
Subject: [PATCH 269/332] [Term Entry] Python NumPy - ndarray: cumsum() (#7901)

* [Term Entry] Python .cumsum()

* Revise .cumsum() documentation for clarity

Updated the description and examples for the .cumsum() method in NumPy documentation to improve clarity and accuracy.

* Update content/numpy/concepts/ndarray/terms/cumsum/cumsum.md

* Update content/numpy/concepts/ndarray/terms/cumsum/cumsum.md

* Update content/numpy/concepts/ndarray/terms/cumsum/cumsum.md

---------
---
 .../concepts/ndarray/terms/cumsum/cumsum.md   | 124 ++++++++++++++++++
 1 file changed, 124 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/cumsum/cumsum.md

diff --git a/content/numpy/concepts/ndarray/terms/cumsum/cumsum.md b/content/numpy/concepts/ndarray/terms/cumsum/cumsum.md
new file mode 100644
index 00000000000..2443ee442b2
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/cumsum/cumsum.md
@@ -0,0 +1,124 @@
+---
+Title: '.cumsum()'
+Description: 'Computes the cumulative sum of array elements along a specified axis.'
+Subjects:
+  - 'Code Foundations'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Methods'
+  - 'NumPy'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.cumsum()`** method in NumPy computes the cumulative sum of elements along a specified axis. If no axis is provided, it returns the cumulative sum of the flattened array.
+
+## Syntax
+
+```pseudo
+ndarray.cumsum(axis=None, dtype=None, out=None)
+```
+
+**Parameters:**
+
+- `axis` (Optional): Specifies the axis along which the cumulative sum is computed. If the axis is not specified, the cumsum is computed over the flattened array.
+- `dtype` (Optional): Specifies the data type of the returned array. If not provided, it defaults to the data type of the input array. However, if the array has an integer type with a precision lower than that of the default platform integer, the default platform integer is used instead.
+- `out` (Optional): An optional output array in which to store the resulting cumulative sum. The shape and buffer length must match that of the expected output but the type will be cast if necessary.
+
+**Return value:**
+
+Returns an array containing the cumulative sum of elements, or a reference to `out` if specified.
+
+## Example 1: Computing Cumulative Sum with and without Axis
+
+This example calculates the cumulative sum of a 2D array:
+
+```py
+import numpy as np
+
+array = np.array([[1, 2, 3], [4, 5, 6]])
+
+# Cumulative sum of flattened array
+cumsum_flat = array.cumsum()
+
+# Cumulative sum along rows (axis=1)
+cumsum_axis1 = array.cumsum(axis=1)
+
+# Cumulative sum along columns (axis=0)
+cumsum_axis0 = array.cumsum(axis=0)
+
+print("Flattened cumulative sum:\n", cumsum_flat)
+print("\nCumulative sum along rows:\n", cumsum_axis1)
+print("\nCumulative sum along columns:\n", cumsum_axis0)
+```
+
+The output of this code is:
+
+```shell
+Flattened cumulative sum:
+[ 1  3  6 10 15 21]
+
+Cumulative sum along rows:
+[[ 1  3  6]
+ [ 4  9 15]]
+
+Cumulative sum along columns:
+[[1 2 3]
+ [5 7 9]]
+```
+
+Here:
+
+- When no axis is specified, NumPy flattens the array before computing the cumulative sum.
+- When an axis is specified, it computes the sum along the given dimension.
+
+## Example 2: Using dtype and Output Array
+
+In this example, a custom data type (`float`) is specified for the cumulative sum, and the result is stored in a preallocated output array:
+
+```py
+import numpy as np
+
+array = np.array([1, 2, 3])
+
+# Create an empty array for output
+output_array = np.empty_like(array, dtype=float)
+
+# Compute cumulative sum with custom dtype and output
+array.cumsum(dtype=float, out=output_array)
+
+print("Cumulative sum with float dtype:")
+print(output_array)
+```
+
+The output of this code is:
+
+```shell
+Cumulative sum with float dtype:
+[1. 3. 6.]
+```
+
+## Codebyte Example
+
+In this example, the cumulative sum of a 2D array is computed along both axes using different data types for each:
+
+```codebyte/python
+import numpy as np
+
+array = np.array([[1, 2], [3, 4]])
+
+# Cumulative sum along rows (axis=1) with float dtype
+cumsum_row = array.cumsum(axis=1, dtype=float)
+
+# Cumulative sum along columns (axis=0) with int dtype
+cumsum_col = array.cumsum(axis=0, dtype=int)
+
+print("Cumulative sum along rows (float):")
+print(cumsum_row)
+
+print("\nCumulative sum along columns (int):")
+print(cumsum_col)
+```

From 1abed2fff5fdab0684669676e4f71f6ea08c868a Mon Sep 17 00:00:00 2001
From: Greg Walker <walker.gregory.p@gmail.com>
Date: Thu, 30 Oct 2025 02:56:22 -0400
Subject: [PATCH 270/332] Create logical_and.md (#7640)

* Create logical_and.md

* minor content fixes

* Format fix and fixed the file error

---------
---
 .../tensors/terms/logical-and/logical-and.md  | 97 +++++++++++++++++++
 1 file changed, 97 insertions(+)
 create mode 100644 content/pytorch/concepts/tensors/terms/logical-and/logical-and.md

diff --git a/content/pytorch/concepts/tensors/terms/logical-and/logical-and.md b/content/pytorch/concepts/tensors/terms/logical-and/logical-and.md
new file mode 100644
index 00000000000..04a59cf61ae
--- /dev/null
+++ b/content/pytorch/concepts/tensors/terms/logical-and/logical-and.md
@@ -0,0 +1,97 @@
+---
+Title: '.logical_and()'
+Description: 'Performs an element-wise logical AND operation on two input tensors, returning a tensor of Boolean values.'
+Subjects:
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'Logical'
+  - 'Operators'
+  - 'Python'
+  - 'PyTorch'
+  - 'Tensors'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'py-torch-for-classification'
+---
+
+The **`torch.logical_and()`** function in PyTorch performs an element-wise logical AND operation between two [tensors](https://www.codecademy.com/resources/docs/pytorch/tensors). It returns a new tensor with boolean values (`True` or `False`) depending on whether the corresponding elements in both input tensors evaluate to `True`.
+
+This operation is often used in tensor-based computations where conditional checks need to be applied element-wise, such as in masking or filtering data.
+
+## Syntax
+
+```pseudo
+torch.logical_and(input, other, *, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The first tensor for the logical AND operation.
+- `other` (Tensor): The second tensor, must be broadcastable to the shape of `input`.
+- `out` (Tensor, optional): The output tensor to store the result.
+
+**Return value:**
+
+A tensor of type `torch.bool` containing the result of the element-wise logical AND operation.
+
+## Example 1: Basic Usage
+
+In this example, two Boolean tensors are compared element-wise using `torch.logical_and()`:
+
+```py
+import torch
+
+a = torch.tensor([True, False, True])
+b = torch.tensor([True, True, False])
+
+result = torch.logical_and(a, b)
+print(result)
+```
+
+The output of this code is as follows:
+
+```shell
+tensor([True, False, False])
+```
+
+## Example 2: Using with Integer Tensors
+
+In this example, integer tensors are treated as Boolean values, with nonzero as `True` and 0 as `False`:
+
+```py
+import torch
+
+x = torch.tensor([1, 0, 3])
+y = torch.tensor([2, 0, 0])
+
+result = torch.logical_and(x, y)
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([True, False, False])
+```
+
+## Example 3: Broadcasting in `torch.logical_and()`
+
+In this example, [broadcasting](https://pytorch.org/docs/stable/notes/broadcasting.html) allows a smaller tensor to be compared across the rows of a larger tensor.
+
+```py
+import torch
+
+m = torch.tensor([[1, 0], [0, 1]])
+n = torch.tensor([1, 0])
+
+result = torch.logical_and(m, n)
+print(result)
+```
+
+The output of this code will be:
+
+```shell
+tensor([[True, False],
+        [False, False]])
+```

From ff29d8f17c2d9f7e6d04270a326c305fa4e4ac16 Mon Sep 17 00:00:00 2001
From: Rutuj Dhawale <148652804+killjoycircuit@users.noreply.github.com>
Date: Thu, 30 Oct 2025 12:30:32 +0530
Subject: [PATCH 271/332] Add new entry for front() method under deque in C++
 docs (#7638)

* Create front

* Update front.md

Added a new entry on the term front() under deque in C++ in the mentioned address.

* Rename front to front.md

* Update front.md

* Update front.md

formatted md file

* Update front.md

* added code indentation

* Update front.md

---------
---
 .../cpp/concepts/deque/terms/front/front.md   | 114 ++++++++++++++++++
 1 file changed, 114 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/front/front.md

diff --git a/content/cpp/concepts/deque/terms/front/front.md b/content/cpp/concepts/deque/terms/front/front.md
new file mode 100644
index 00000000000..6ed7004cf56
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/front/front.md
@@ -0,0 +1,114 @@
+---
+Title: '.front()'
+Description: 'Returns a reference to the first element of the deque'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Containers'
+  - 'Deques'
+  - 'OOP'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+In C++, the **`.front()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) returns a reference to the first element in the [deque](https://www.codecademy.com/resources/docs/python/deque).
+
+## Syntax
+
+```pseudo
+deque_name.front()
+```
+
+**Parameters:**
+
+`.front()` does not take any parameters
+
+**Return value:**
+
+- Returns a reference to the first element of the deque.
+  - For a non-const deque, returns `T&` (modifiable).
+  - For a const deque, returns const `T&` (read-only).
+
+## Example
+
+The example below demonstrates use of `.front()` to access the first element in a deque:
+
+```cpp
+#include <iostream>
+#include <deque>
+
+int main() {
+  // Create a deque of integers
+  std::deque<int> numbers;
+
+  // Add some elements to the deque
+  numbers.push_back(100);
+  numbers.push_back(200);
+  numbers.push_back(300);
+
+  // Access the first element using .front()
+  std::cout << "First element: " << numbers.front() << std::endl;
+
+  // Modify the first element
+  numbers.front() = 50;
+
+  // Display updated deque contents
+  std::cout << "Updated deque: ";
+  for (int num : numbers) {
+    std::cout << num << " ";
+  }
+  std::cout << std::endl;
+
+  return 0;
+}
+```
+
+The output of this program will be:
+
+```shell
+First element: 100
+Updated deque: 50 200 300
+```
+
+This shows that `.front()` allows both access and modification of the deque’s first element.
+
+## Codebyte Example
+
+Run the following codebyte example to understand the use of `.front()` method:
+
+```codebyte/cpp
+#include <iostream>
+#include <deque>
+#include <string>
+
+int main() {
+  // Create a deque of strings
+  std::deque<std::string> myDeque;
+
+  // Add elements to the deque
+  myDeque.push_back("Hello");
+  myDeque.push_back("World");
+  myDeque.push_back("!");
+
+  // Print the front element
+  std::cout << "Front element before change: " << myDeque.front() << std::endl;
+
+  // Modify the front element
+  myDeque.front() = "Hi";
+
+  // Print the modified front element
+  std::cout << "Front element after change: " << myDeque.front() << std::endl;
+
+  // Print all elements of the deque
+  std::cout << "Complete deque: ";
+  for (const auto& str : myDeque) {
+    std::cout << str << " ";
+  }
+  std::cout << std::endl;
+
+  return 0;
+}
+```

From 380f9c9b1f4eb3bebdfba60563a6e70ede56e918 Mon Sep 17 00:00:00 2001
From: Yuval Levental <yhl3051@g.rit.edu>
Date: Thu, 30 Oct 2025 03:06:44 -0400
Subject: [PATCH 272/332] [Term Entry] Python NumPy - ndarray: all()

* Add numpy ndarray all() method documentation

* Enhance .all() method documentation in ndarray

Refine explanation of the .all() method in ndarray documentation. Update syntax, parameters, return value, and examples for clarity and accuracy.

* Minor changes

---------
---
 .../numpy/concepts/ndarray/terms/all/all.md   | 215 ++++++++++++++++++
 1 file changed, 215 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/all/all.md

diff --git a/content/numpy/concepts/ndarray/terms/all/all.md b/content/numpy/concepts/ndarray/terms/all/all.md
new file mode 100644
index 00000000000..012e5289c85
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/all/all.md
@@ -0,0 +1,215 @@
+---
+Title: '.all()'
+Description: 'Returns True if all elements in the array evaluate to True, or along a specified axis.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+In NumPy, the **`.all()`** method returns `True` if all elements in an ndarray evaluate to `True`, or if all elements along a specified axis evaluate to `True`.
+
+The `.all()` method can operate on the entire array to check if all values are truthy, or work along specific axes to perform row-wise or column-wise boolean validation. It follows Python's truth value testing conventions where non-zero numbers, non-empty arrays, and `True` values are considered truthy, while zero, empty arrays, `None`, and `False` are considered falsy. This method is particularly useful in data validation, filtering operations, and quality control checks in data science workflows.
+
+## Syntax
+
+```pseudo
+ndarray.all(axis=None, out=None, keepdims=False, where=True)
+```
+
+**Parameters:**
+
+- `axis` (optional): Specifies the axis or axes along which to perform the logical AND operation.
+  - If `None` (default), the test is applied to all elements in the array.
+  - If integer, checks along that specific axis.
+  - If tuple of integers, checks along multiple axes.
+- `out` (optional): Alternative output array to store the result. Must have the same shape as the expected output.
+- `keepdims` (optional): If `True`, the reduced axes are retained in the result as dimensions with size one. If `False` (default), the axes are removed from the result.
+- `where` (optional): Boolean array indicating which elements to include in the check. Elements where the condition is `False` are ignored and assumed to be `True`.
+
+**Return value:**
+
+Returns a boolean or ndarray of booleans, depending on the `axis` argument:
+
+- A single `bool` if the check is performed on the entire array.
+- An `ndarray` of `bool` values if performed along a specific axis.
+
+## Example 1: Basic Boolean Validation
+
+This example demonstrates using `.all()` to validate boolean conditions across an array:
+
+```py
+import numpy as np
+
+# Create arrays with different boolean patterns
+all_true = np.array([True, True, True, True])
+has_false = np.array([True, True, False, True])
+all_positive = np.array([1, 5, 3, 7])
+has_zero = np.array([1, 5, 0, 7])
+
+print("All True array:", all_true.all())
+print("Array with False:", has_false.all())
+print("All positive numbers:", all_positive.all())
+print("Array with zero:", has_zero.all())
+
+# Using comparison operators
+data = np.array([85, 92, 78, 95, 88])
+all_passing = (data >= 70).all()
+all_excellent = (data >= 90).all()
+
+print(f"\nAll scores >= 70: {all_passing}")
+print(f"All scores >= 90: {all_excellent}")
+```
+
+The output of this code is:
+
+```shell
+All True array: True
+Array with False: False
+All positive numbers: True
+Array with zero: False
+
+All scores >= 70: True
+All scores >= 90: False
+```
+
+This example shows how `.all()` evaluates different types of arrays. Non-zero numbers are considered truthy, while zero and `False` values cause the method to return `False`.
+
+## Example 2: Axis-wise Validation in Multi-dimensional Arrays
+
+This example demonstrates how to validate conditions along specific axes in a 2D array:
+
+```py
+import numpy as np
+
+# Create a 2D array of test results (pass=1, fail=0)
+test_results = np.array([
+    [1, 1, 1, 1],  # Student 1: All passed
+    [1, 1, 0, 1],  # Student 2: One failure
+    [1, 1, 1, 1],  # Student 3: All passed
+    [1, 0, 1, 1]   # Student 4: One failure
+])
+
+print("Test results (1=pass, 0=fail):")
+print(test_results)
+
+# Check if all students passed each test (column-wise)
+all_passed_per_test = test_results.all(axis=0)
+print(f"\nAll students passed each test: {all_passed_per_test}")
+
+# Check if each student passed all tests (row-wise)
+all_passed_per_student = test_results.all(axis=1)
+print(f"Each student passed all tests: {all_passed_per_student}")
+
+# Check if all students passed all tests (entire array)
+perfect_class = test_results.all()
+print(f"Perfect class (all passed): {perfect_class}")
+```
+
+The output of this code is:
+
+```shell
+Test results (1=pass, 0=fail):
+[[1 1 1 1]
+ [1 1 0 1]
+ [1 1 1 1]
+ [1 0 1 1]]
+
+All students passed each test: [ True False False  True]
+Each student passed all tests: [ True False  True False]
+Perfect class (all passed): False
+```
+
+This example shows how the `axis` parameter controls the direction of validation. Using `axis=0` checks columns (tests), while `axis=1` checks rows (students).
+
+## Example 3: Data Quality Validation with `keepdims`
+
+This example shows how to use `.all()` with `keepdims` for data quality checks that maintain array dimensions:
+
+```py
+import numpy as np
+
+# Create sensor data with some readings potentially out of range
+sensor_data = np.array([
+  [45, 52, 48, 51],
+  [46, 49, 47, 50],
+  [44, 53, 46, 49]
+])
+
+print("Sensor readings:")
+print(sensor_data)
+
+# Define valid range (40-55)
+min_valid = 40
+max_valid = 55
+
+# Check if all readings per sensor are within range
+within_range = (sensor_data >= min_valid) & (sensor_data <= max_valid)
+all_valid_per_sensor = within_range.all(axis=1, keepdims=True)
+
+print(f"\nAll readings valid per sensor:\n{all_valid_per_sensor}")
+print(f"Shape: {all_valid_per_sensor.shape}")
+
+# Create a quality report
+quality_report = np.where(all_valid_per_sensor, "PASS", "FAIL")
+print(f"\nQuality report:\n{quality_report}")
+```
+
+The output of this code is:
+
+```shell
+Sensor readings:
+[[45 52 48 51]
+ [46 49 47 50]
+ [44 53 46 49]]
+
+All readings valid per sensor:
+[[ True]
+ [ True]
+ [ True]]
+Shape: (3, 1)
+
+Quality report:
+[['PASS']
+ ['PASS']
+ ['PASS']]
+```
+
+The `keepdims=True` parameter maintains array dimensions, making it easier to combine validation results with other operations or create aligned reports.
+
+## Codebyte Example: Using the `where` Parameter for Conditional Validation
+
+This example demonstrates selective validation using the `where` parameter:
+
+```codebyte/python
+import numpy as np
+
+# Create an array of product inventory status
+# Positive = in stock, Negative = discontinued, Zero = out of stock
+inventory = np.array([
+    [25, -1, 15, 30],
+    [40, 22, -1, 18],
+    [0, 35, 28, -1]
+])
+
+print("Inventory (positive=in stock, negative=discontinued, 0=out):")
+print(inventory)
+
+# Check if all active products (non-negative) are in stock (non-zero)
+active_mask = inventory >= 0
+all_active_in_stock = (inventory > 0).all(where=active_mask)
+print(f"\nAll active products in stock: {all_active_in_stock}")
+
+# Check per row if all active products are in stock
+all_in_stock_per_row = (inventory > 0).all(axis=1, where=active_mask, keepdims=True)
+print(f"All active products in stock per row:\n{all_in_stock_per_row}")
+```
+
+The `where` parameter allows selective validation, ignoring certain elements (like discontinued products) when checking conditions.

From bb276d601ac757c9f420e7b15536058c28473a86 Mon Sep 17 00:00:00 2001
From: Kevin <kkeomalaythong117@gmail.com>
Date: Thu, 30 Oct 2025 03:24:41 -0400
Subject: [PATCH 273/332] [Term Entry] Python Time Module Function:
 perf_counter() (#7622)

* Add Python/'Time Module' entry for 'perf_counter()'

* Update term entry's metadata

* minor content fixes

* Update yarn.lock

* Update content/python/concepts/time-module/terms/perf-counter/perf-counter.md

* Update content/python/concepts/time-module/terms/perf-counter/perf-counter.md

* Update content/python/concepts/time-module/terms/perf-counter/perf-counter.md

* Update content/python/concepts/time-module/terms/perf-counter/perf-counter.md

---------
---
 .../terms/perf-counter/perf-counter.md        | 150 ++++++++++++++++++
 1 file changed, 150 insertions(+)
 create mode 100644 content/python/concepts/time-module/terms/perf-counter/perf-counter.md

diff --git a/content/python/concepts/time-module/terms/perf-counter/perf-counter.md b/content/python/concepts/time-module/terms/perf-counter/perf-counter.md
new file mode 100644
index 00000000000..0fe9a46029c
--- /dev/null
+++ b/content/python/concepts/time-module/terms/perf-counter/perf-counter.md
@@ -0,0 +1,150 @@
+---
+Title: 'perf_counter()'
+Description: 'Returns a high-resolution timer value, useful for measuring short durations, including time elapsed during sleep.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Functions'
+  - 'Modules'
+  - 'Time'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`perf_counter()`** function returns a floating-point number representing a high-resolution timer value (in seconds) at the moment of the call, and is commonly used to benchmark code by measuring the time taken to execute a piece of code.
+
+## Syntax
+
+```pseudo
+time.perf_counter()
+```
+
+**Parameters:**
+
+The function takes no arguments.
+
+**Return value:**
+
+Returns a float representing the current value of a high-resolution performance counter in seconds.
+
+## Example 1
+
+This example shows how to call `perf_counter()` to get the current high-resolution timer value:
+
+```py
+import time
+
+print(time.perf_counter())
+```
+
+A possible output of this code is:
+
+```shell
+5003.666789873
+```
+
+Importing `perf_counter()` from `time`:
+
+```py
+from time import perf_counter
+
+print(perf_counter())
+```
+
+A possible outcome of this code is:
+
+```shell
+1780743.368374651
+```
+
+## Example 2
+
+Here, two `perf_counter()` calls are placed around [`sleep()`](https://www.codecademy.com/resources/docs/python/time-module/sleep) which adds a 5-second delay in the execution right after the first method call:
+
+```py
+from time import perf_counter, sleep
+
+# record current time before delay
+start = perf_counter()
+
+print('Time before sleep():', start)
+
+sleep(5) # pause for 5 seconds
+
+# record current time after delay
+end = perf_counter()
+
+print('Time after sleep():', end)
+
+# calculate elapsed time between both calls
+elapsed_time = end - start
+
+print('Elapsed time in seconds:', elapsed_time)
+```
+
+The output of this code is:
+
+```shell
+Time before sleep(): 1781952.36727265
+Time after sleep(): 1781957.367474534
+Elapsed time in seconds: 5.000201884191483
+```
+
+## Codebyte Example
+
+The following program shows two ways to search for an element in a sorted integer list. Both solutions are written in separate functions, and pairs of `perf_counter()` calls are used to track the time taken to execute each function:
+
+```codebyte/python
+from time import perf_counter
+
+# linear search: search through every element in the list
+def search_1(nums, target) -> bool:
+  for num in nums:
+    if (num == target):
+      return True
+
+  return False
+
+# binary search: searching within half of the list using the midpoint
+def search_2(nums, target) -> bool:
+  left = 0
+  right = len(nums) - 1
+
+  while left <= right:
+    mid = (left + right) // 2
+
+    if nums[mid] == target:
+      return True
+
+    if nums[mid] < target:
+      left = mid + 1
+    else:
+      right = mid - 1
+
+  return False
+
+# example values
+nums = [-109, -83, -57, -43, -39, -10, -5, -2, 0, 1, 7, 18, 45, 78, 82, 94, 123, 165] # sorted in ascending order
+target = 165
+
+# track elapsed time for search_1()
+begin_result1 = perf_counter()
+result1 = search_1(nums, target)
+end_result1 = perf_counter()
+elapsed_result1 = end_result1 - begin_result1
+
+# track elapsed time for search_2()
+begin_result2 = perf_counter()
+result2 = search_2(nums, target)
+end_result2 = perf_counter()
+elapsed_result2 = end_result2 - begin_result2
+
+print('Time taken for search_1(): {} seconds'.format(elapsed_result1))
+print('Time taken for search_2(): {} seconds'.format(elapsed_result2))
+```
+
+> **Note:** The actual numbers will vary each time you run the code, since they represent the current internal timer value, not absolute wall-clock time.
+
+Ideally, with a large `nums` list the binary search function should take half as much time as the linear search function.

From 7f2a8a47a5f20a5239c26607ce44377e1a98e5a6 Mon Sep 17 00:00:00 2001
From: Nina <70864385+talikumi@users.noreply.github.com>
Date: Thu, 30 Oct 2025 08:34:42 +0100
Subject: [PATCH 274/332] [Term Entry] Python time-module: .strptime() (#7637)

* Add strptime term entry for Python time module

* minor fixes

* Update strptime.md

* Update strptime.md

* Formating fix

---------
---
 .../time-module/terms/strptime/strptime.md    | 92 +++++++++++++++++++
 1 file changed, 92 insertions(+)
 create mode 100644 content/python/concepts/time-module/terms/strptime/strptime.md

diff --git a/content/python/concepts/time-module/terms/strptime/strptime.md b/content/python/concepts/time-module/terms/strptime/strptime.md
new file mode 100644
index 00000000000..95270b36715
--- /dev/null
+++ b/content/python/concepts/time-module/terms/strptime/strptime.md
@@ -0,0 +1,92 @@
+---
+Title: '.strptime()'
+Description: 'Parses a string representing a date/time into a struct_time object according to a specified format.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Date'
+  - 'Methods'
+  - 'Time'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**`.strptime()`** is a method from Python's [time](https://www.codecademy.com/resources/docs/python/time-module) module. It converts a date and/or time string into a corresponding `struct_time` object, based on the format directives provided.
+
+> > **Note:** `strptime()` with the 'p' for 'parse' is for reading a string, not writing one.
+
+## Syntax
+
+```pseudo
+time.strptime(string, format)
+```
+
+**Parameters:**
+
+- `string` (str): The date and/or time string to be parsed and converted.
+- `format` (str): The format string specifying the expected format of the first parameter `string`.
+
+**Return value:**
+
+Returns a `struct_time` object with the parsed date and time.
+
+The `format` parameter uses specific directives to represent the expected format of `string`. These directives are the same ones as those used by [`strftime()`](https://www.codecademy.com/resources/docs/python/time-module/strftime), and some common examples include:
+
+| Directive | Description                 | Example/Range   |
+| --------- | --------------------------- | --------------- |
+| `%Y`      | Four-digit year             | 2025, 2026, ... |
+| `%y`      | Two-digit year (25 -> 2025) | 00 - 99         |
+| `%m`      | Month number                | 01 - 12         |
+| `%d`      | Day of the month            | 01 - 31         |
+| `%H`      | Hour (24-hour format)       | 00 - 23         |
+| `%M`      | Minute                      | 00 - 59         |
+| `%S`      | Second                      | 00 - 61\*       |
+| `%w`      | Weekday                     | 0(Sun) - 6(Sat) |
+| `%j`      | Day of the year             | 001 - 366       |
+| `%b`      | Abbreviated month name      | Jan, Feb, ...   |
+
+> > **Note:** Value `61` is only supported for historical reasons (leap seconds).
+
+## Example
+
+The following example shows how to convert a date string into a `struct_time` object using `time.strptime()`:
+
+```py
+import time
+
+# Define the date string and its corresponding format
+date_string = "16 Dec 97"
+format_string = "%d %b %y"
+
+# Parse the date string into a struct_time object
+converted_time = time.strptime(date_string, format_string)
+print(converted_time)
+```
+
+An example output of this code is:
+
+```shell
+time.struct_time(tm_year=1997, tm_mon=12, tm_mday=16, tm_hour=0, tm_min=0, tm_sec=0, tm_wday=1, tm_yday=350, tm_isdst=-1)
+```
+
+## Codebyte Example
+
+This example shows how to parse a date string and access information from the `struct_time` object:
+
+```codebyte/python
+import time
+
+date_string = "21 June 2025"
+format_string = "%d %B %Y"
+
+converted_time = time.strptime(date_string, format_string)
+
+# Access individual elements
+year = converted_time.tm_year
+month = converted_time.tm_mon
+day = converted_time.tm_mday
+
+print(f"Year: {year}, Month: {month}, Day: {day}")
+```

From 6c5703455059e121c649f19fbf12e33b8b816231 Mon Sep 17 00:00:00 2001
From: Alessandro Capialbi <capialbi.alessandro@studenti-ittfedifermi.edu.it>
Date: Thu, 30 Oct 2025 08:38:39 +0100
Subject: [PATCH 275/332] [Term Entry] PyTorch log() (#7614)

* docs: pytorch log

* fix: example

* fix: shell result

* minor tweaks

* Update content/pytorch/concepts/tensor-operations/terms/log/log.md

---------
---
 .../tensor-operations/terms/log/log.md        | 54 +++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/log/log.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/log/log.md b/content/pytorch/concepts/tensor-operations/terms/log/log.md
new file mode 100644
index 00000000000..a7a40eee8c5
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/log/log.md
@@ -0,0 +1,54 @@
+---
+Title: '.log()'
+Description: 'Returns a new tensor with the natural logarithm of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Python'
+  - 'PyTorch'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.log()`** function computes the natural logarithm of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). This is mathematically equivalent to applying the function $y_i = log_{e}(x_i)$ element-wise, where $log_{e}$ is the natural logarithm.
+
+## Syntax
+
+```pseudo
+torch.log(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor containing elements for which the logarithm will be computed.
+- `out` (optional): Output tensor to store the result. Must have the same shape as `input`.
+
+**Return value:**
+
+Returns a new tensor where each element is the natural logarithm of the corresponding element within the input tensor.
+
+## Example
+
+The following example shows how to compute the element-wise natural logarithm of a tensor using `torch.log()`:
+
+```py
+import torch
+import math
+
+# Define a tensor
+x = torch.tensor([7.0 , 8.0 , 9.0 , math.log(3.)])
+
+# Compute the natural logarithm
+result = torch.log(x)
+
+print(result)
+```
+
+Here is the output:
+
+```shell
+tensor([1.9459, 2.0794, 2.1972, 0.0940])
+```

From f1dbc49f7bf6f2ca548f27ab92afaff3f3cf1890 Mon Sep 17 00:00:00 2001
From: Alessandro Capialbi <capialbi.alessandro@studenti-ittfedifermi.edu.it>
Date: Thu, 30 Oct 2025 10:30:31 +0100
Subject: [PATCH 276/332] [Term Entry] PyTorch ldexp() entry (#7616)

* docs: ldexp syntax and example

* minor fix with parameter

* rephrased the sentence with "we"

* Apply suggestion from @avdhoottt

---------
---
 .../tensor-operations/terms/ldexp/ldexp.md    | 60 +++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/ldexp/ldexp.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/ldexp/ldexp.md b/content/pytorch/concepts/tensor-operations/terms/ldexp/ldexp.md
new file mode 100644
index 00000000000..2ef32767f37
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/ldexp/ldexp.md
@@ -0,0 +1,60 @@
+---
+Title: '.ldexp()'
+Description: 'Returns a new tensor obtained by multiplying each element of the input tensor by a power of two.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Machine Learning'
+  - 'Python'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/computer-science'
+---
+
+In PyTorch, the **`.ldexp()`** function computes a new [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors), where each element of `input` is multiplied by 2 raised to the power of the corresponding element in `other`. It is mathematically equivalent to the function $out_i = input_i * 2^{other_i}$.
+
+This operation is commonly used to build floating-point numbers by combining mantissas (from `input`) with powers of two derived from integer exponents (from `other`).
+
+## Syntax
+
+```pseudo
+torch.ldexp(input, other, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor containing the mantissas.
+- `other`: A tensor of exponents (int or float), applied element-wise.
+- `out` (Optional): The output tensor to store results. If not provided, a new tensor is returned.
+
+**Return value:**
+
+Returns a new tensor containing the result of the multiplication.
+
+## Example
+
+This example computes the multiplication between an input tensor and another tensor using `torch.ldexp()`:
+
+```py
+import torch
+import math
+
+# Define a tensor
+input = torch.tensor([2.0, 4.0 , 5.0])
+
+# Define the tensor of exponents
+other = torch.tensor([2.0, 3.0, 4.0])
+
+# Compute the multiplication between the two tensors
+out = torch.ldexp(input, other)
+print(out)
+```
+
+Here is the output:
+
+```shell
+tensor([ 8., 32., 80.])
+```

From e4e9092b79ce074d0335198a2ba60fcf3f12ae48 Mon Sep 17 00:00:00 2001
From: jjwheatley <61948277+jjwheatley@users.noreply.github.com>
Date: Thu, 30 Oct 2025 10:36:06 +0100
Subject: [PATCH 277/332] [Term Entry] PyTorch Tensor Operations: .lgamma()
 (#7619)

* [Term Entry] PyTorch Tensor Operations: .lgamma()

* minor wording fixes

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../tensor-operations/terms/lgamma/lgamma.md  | 58 +++++++++++++++++++
 1 file changed, 58 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/lgamma/lgamma.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/lgamma/lgamma.md b/content/pytorch/concepts/tensor-operations/terms/lgamma/lgamma.md
new file mode 100644
index 00000000000..dc401adeb30
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/lgamma/lgamma.md
@@ -0,0 +1,58 @@
+---
+Title: '.lgamma()'
+Description: 'Computes the natural log of the absolute gamma function for each element in a tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'Math'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+In PyTorch, the **`.lgamma()`** function returns the natural logarithm of the absolute value of the gamma function for each element in an input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors).
+
+## Syntax
+
+```pseudo
+torch.lgamma(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): Input tensor of floating point or complex numbers.
+- `out` (Optional): Output tensor to write results to.
+
+**Return value:**
+
+Returns a tensor of the same shape as the `input`, where each element is the log of the absolute gamma function of the corresponding input element.
+
+## Example
+
+The example demonstrates computing the natural logarithm of the absolute gamma function using both the functional form `torch.lgamma()` and the tensor method `.lgamma()`, then verifies both approaches produce identical results:
+
+```py
+import torch
+
+x = torch.tensor([0.5, 1.0, 2.5, 5.0, -0.5])
+
+# Functional form
+y1 = torch.lgamma(x)
+
+# Tensor method
+y2 = x.lgamma()
+
+print(y1)
+print(torch.allclose(y1, y2))
+```
+
+Here's the output of this code:
+
+```shell
+tensor([0.5724, 0.0000, 0.2847, 3.1781, 1.2655])
+True
+```

From a85a4b7c771e78a99235a443fc9f2f336e4ee645 Mon Sep 17 00:00:00 2001
From: arisdelacruz <115809819+arisdelacruz@users.noreply.github.com>
Date: Thu, 30 Oct 2025 17:43:50 +0800
Subject: [PATCH 278/332] Created the gmtime entry for python (#7620)

* Created the gmtime entry for python

* Update gmtime.md

* minor wording fix

* Apply suggestion from @avdhoottt

---------
---
 .../time-module/terms/gmtime/gmtime.md        | 69 +++++++++++++++++++
 1 file changed, 69 insertions(+)
 create mode 100644 content/python/concepts/time-module/terms/gmtime/gmtime.md

diff --git a/content/python/concepts/time-module/terms/gmtime/gmtime.md b/content/python/concepts/time-module/terms/gmtime/gmtime.md
new file mode 100644
index 00000000000..fc7f79976d6
--- /dev/null
+++ b/content/python/concepts/time-module/terms/gmtime/gmtime.md
@@ -0,0 +1,69 @@
+---
+Title: '.gmtime()'
+Description: 'Converts a time expressed in seconds since the epoch to a `struct_time` in UTC.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Web Development'
+Tags:
+  - 'Constants'
+  - 'Methods'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`gmtime()`** function converts a time value (in seconds since the epoch, or the current time if not provided) into a `struct_time` representation in Coordinated Universal Time (UTC).
+
+## Syntax
+
+```pseudo
+time.gmtime([seconds])
+```
+
+**Parameters:**
+
+- `seconds` (optional, float or int): Number of seconds since the epoch (January 1, 1970, 00:00:00 UTC). If omitted, the current time is used.
+
+**Return value:**
+
+Returns a `time.struct_time` object in Coordinated Universal Time (UTC) with the attributes: `(tm_year, tm_mon, tm_mday, tm_hour, tm_min, tm_sec, tm_wday, tm_yday, tm_isdst)`
+
+## Example
+
+In this example, the current UTC time is retrieved using `gmtime()`, and then a specific date (January 1, 2020) is converted into its UTC `struct_time` representation:
+
+```py
+import time
+import calendar
+
+# Get the current time in UTC
+current_time = time.gmtime()
+print("Current UTC time:", current_time)
+
+# Convert a specific time (e.g., 1st January 2020) to UTC
+specific_time = calendar.timegm((2020, 1, 1, 0, 0, 0, 0, 0, 0))
+utc_time = time.gmtime(specific_time)
+print("Specific UTC time:", utc_time)
+```
+
+The possible output of this code is:
+
+```shell
+Current UTC time: time.struct_time(tm_year=2025, tm_mon=9, tm_mday=23, tm_hour=11, tm_min=12, tm_sec=32, tm_wday=1, tm_yday=266, tm_isdst=0)
+Specific UTC time: time.struct_time(tm_year=2020, tm_mon=1, tm_mday=1, tm_hour=0, tm_min=0, tm_sec=0, tm_wday=2, tm_yday=1, tm_isdst=0)
+```
+
+> **Note:** The exact output for the current time will vary depending on when the code is executed.
+
+## Codebyte Example
+
+In this example, 0 seconds since the epoch is passed to `gmtime()`, which returns the epoch start time in UTC:
+
+```codebyte/python
+import time
+
+# Passing the seconds elapsed as an argument to this method
+gt = time.gmtime(0)
+print("The epoch of the system:", gt)
+```

From a3c69c58062f6254c5caff1e004e3f7139f6eb0e Mon Sep 17 00:00:00 2001
From: Anudhyan Datta <127120520+Anudhyan@users.noreply.github.com>
Date: Thu, 30 Oct 2025 15:27:07 +0530
Subject: [PATCH 279/332] Add documentation for Map.clear() method (#7664)

* Add documentation for Map.clear() method

Added documentation for the Map.clear() method, including syntax, examples, and a Codebyte example demonstrating its usage.

* content fixes

* Changed the file to the correct position

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../concepts/map/terms/clear/clear.md         | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/javascript/concepts/map/terms/clear/clear.md

diff --git a/content/javascript/concepts/map/terms/clear/clear.md b/content/javascript/concepts/map/terms/clear/clear.md
new file mode 100644
index 00000000000..76c925e459b
--- /dev/null
+++ b/content/javascript/concepts/map/terms/clear/clear.md
@@ -0,0 +1,76 @@
+---
+Title: '.clear()'
+Description: 'Removes all key-value pairs from a Map object.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'JavaScript'
+  - 'Map'
+  - 'Methods'
+  - 'Objects'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+The **`Map.clear()`** method in JavaScript removes all entries (key-value pairs) from a `Map` object. After invoking it, the map becomes empty and its [`.size`](https://www.codecademy.com/resources/docs/javascript/map/size) property becomes 0.
+
+## Syntax
+
+```pseudo
+map.clear()
+```
+
+**Parameters:**
+
+- It does not take any parameters.
+
+**Return value:**
+
+- The method returns `undefined` after clearing the map.
+
+## Example
+
+In this example, a map is created with two entries, then cleared, and the size and values are checked:
+
+```js
+const myMap = new Map();
+myMap.set('a', 1);
+myMap.set('b', 2);
+console.log(myMap.size);
+
+myMap.clear();
+
+console.log(myMap.size);
+console.log(myMap.get('a'));
+```
+
+The output of this code will be:
+
+```shell
+2
+0
+undefined
+```
+
+## Codebyte Example
+
+In this example, a fruit inventory map is initialized with values, then cleared to show that the map becomes empty:
+
+```codebyte/javascript
+const fruitInventory = new Map([
+  ['apples', 50],
+  ['bananas', 30],
+  ['oranges', 25]
+]);
+
+console.log('Initial inventory size:', fruitInventory.size);
+console.log('Apples in stock:', fruitInventory.get('apples'));
+
+// Clear all inventory
+fruitInventory.clear();
+
+console.log('Inventory after clearing:', fruitInventory.size);
+console.log('Apples in stock after clear:', fruitInventory.get('apples'));
+```

From 9a45441320bdfdb72970c8b4b8347b1b1ff4b68e Mon Sep 17 00:00:00 2001
From: JavierFM <fdezmorjavier@gmail.com>
Date: Thu, 30 Oct 2025 10:58:42 +0100
Subject: [PATCH 280/332] [ISSUE 7631] Queue Back entry writed and checked
 locally (#7641)

* [ISSUE 7631] Queue Back entry writed and checked locally

* minor output fixes

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* content/cpp/concepts/queues/terms/back/back.md

---------
---
 .../cpp/concepts/queues/terms/back/back.md    | 117 ++++++++++++++++++
 1 file changed, 117 insertions(+)
 create mode 100644 content/cpp/concepts/queues/terms/back/back.md

diff --git a/content/cpp/concepts/queues/terms/back/back.md b/content/cpp/concepts/queues/terms/back/back.md
new file mode 100644
index 00000000000..6388694a6b5
--- /dev/null
+++ b/content/cpp/concepts/queues/terms/back/back.md
@@ -0,0 +1,117 @@
+---
+Title: '.back()'
+Description: 'Returns a reference to the element at the back of the queue.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Methods'
+  - 'Objects'
+  - 'OOP'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The C++ **`.back()`** [method](https://www.codecademy.com/resources/docs/cpp/methods) is used to access the element at the back of the [queue](https://www.codecademy.com/resources/docs/cpp/queues) without removing it.
+
+## C++ `.back()` Syntax
+
+```pseudo
+queueName.back();
+```
+
+**Parameters:**
+
+The C++ `.back()` method takes no parameters.
+
+**Return value:**
+
+Returns a reference to the element at the end of the queue.
+
+## Example 1: Basic usage of C++ `.back()`
+
+This example uses C++ `.back()` to access the last element of the queue:
+
+```cpp
+#include <iostream>
+#include <queue>
+using namespace std;
+
+int main() {
+  // Declaring a queue
+  queue<int> q;
+
+  // Inserting int elements into the queue
+  q.push(10);
+  q.push(20);
+  q.push(30);
+
+  // Print the last element of the queue
+  cout <<"Last element: " << q.back() << endl;
+}
+```
+
+Here is the output of this code:
+
+```shell
+Last element: 30
+```
+
+## Example 2: Using C++ `.back()` with `.push()`
+
+This example uses C++ `.back()` to return the last element of the queue after we used [`.push()`](https://www.codecademy.com/resources/docs/cpp/queues/push):
+
+```cpp
+#include <iostream>
+#include <queue>
+using namespace std;
+
+int main () {
+  queue<string> q;
+
+  q.push("Jhon");
+  q.push("Bob");
+  q.push("Doe");
+
+  cout <<"Last element: " << q.back() << endl;
+  q.push("Alice");
+  cout <<"Last element after push: " << q.back() << endl;
+}
+```
+
+Here is the output of this code:
+
+```shell
+Last element: Doe
+Last element after push: Alice
+```
+
+## Codebyte Example: Modifying the Last Element Using C++ `.back()`
+
+This codebyte example uses C++ `.back()` to modify the last element of the queue:
+
+```codebyte/cpp
+#include <iostream>
+#include <queue>
+using namespace std;
+
+int main() {
+  queue<int> q;
+
+  q.push(10);
+  q.push(20);
+
+  // Print the last element
+  cout << "Last element before modification: " << q.back() << endl;
+
+  // Modify the last element
+  q.back() = 100;
+
+  // Print the modified last element
+  cout << "Last element after modification: " << q.back() << endl;
+
+  return 0;
+}
+```

From 668d7e00de80d48eb06b8cacd648bb341cf67981 Mon Sep 17 00:00:00 2001
From: Dhruv Lad <laddhruv495@gmail.com>
Date: Thu, 30 Oct 2025 15:40:04 +0530
Subject: [PATCH 281/332] randint term added  (#7701)

* created the required randint.md file

* yarn format

* minor fix

* created b2a-base16.md

* some changes

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Removed unwanted file

---------
---
 .../random-module/terms/randint/randint.md    | 87 +++++++++++++++++++
 1 file changed, 87 insertions(+)
 create mode 100644 content/numpy/concepts/random-module/terms/randint/randint.md

diff --git a/content/numpy/concepts/random-module/terms/randint/randint.md b/content/numpy/concepts/random-module/terms/randint/randint.md
new file mode 100644
index 00000000000..4292822c938
--- /dev/null
+++ b/content/numpy/concepts/random-module/terms/randint/randint.md
@@ -0,0 +1,87 @@
+---
+Title: 'randint()'
+Description: 'Generates random integers within a specified range using NumPy.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Numpy'
+  - 'Python'
+  - 'Random'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+**`randint()`** is a function from NumPy's [`random`](https://www.codecademy.com/resources/docs/numpy/random-module) module that generates random integers. It can generate a single integer or an array of integers within a specified range, making it useful for simulations, testing, and randomized operations.
+
+## Syntax
+
+```pseudo
+numpy.random.randint(low, high=None, size=None, dtype=int)
+```
+
+**Parameters:**
+
+- `low` (int): Lowest (inclusive) integer to be drawn.
+- `high` (int, optional): One above the highest integer to be drawn. If not provided, integers are drawn from the range `[0, low)`.
+- `size` (int or tuple of ints, optional): Output shape. If `None`, a single integer is returned.
+- `dtype` (data-type, optional): Desired data type of the output. Default is `int`.
+
+**Return value:**
+
+- `out` (int or ndarray): Random integer(s) from the specified range.
+  - If `size` is `None`, returns a single integer.
+  - If `size` is specified, returns a NumPy array of the given shape.
+
+## Example
+
+This example generates a random integer (0-9) and an array of 5 random integers (1-5):
+
+```py
+import numpy as np
+np.random.seed(15)
+
+# Single random integer from 0 to 9
+single_int = np.random.randint(10)
+print(single_int)
+
+# Array of 5 random integers from 1 to 5
+arr = np.random.randint(1, 6, size=5)
+print(arr)
+```
+
+The output for this code will be:
+
+```shell
+8
+[5 1 5 4 4]
+```
+
+> **Note:** Exact output values may vary depending on NumPy version, but the format will be as shown.
+
+Here:
+
+- `np.random.seed(15)` ensures reproducible results.
+- `np.random.randint(10)` generates a single integer between 0 and 9.
+- `np.random.randint(1, 6, size=5)` generates an array of 5 integers between 1 and 5.
+
+## Codebyte Example
+
+This codebyte sample generates a single random integer and a 2×3 array of random integers from specified ranges, ensuring reproducible results using a fixed random seed:
+
+```codebyte/python
+import numpy as np
+np.random.seed(42)
+
+# Single random integer between 0 and 9
+num = np.random.randint(10)
+print(f"Random integer: {num}")
+
+# 2x3 array of random integers between 1 and 10
+arr = np.random.randint(1, 11, size=(2, 3))
+print(f"Random integers array:\n{arr}")
+```
+
+- `np.random.seed(42)` ensures the code produces the same results every time.
+- `size=(2, 3)` generates a 2D array with 2 rows and 3 columns of random integers.

From 5ec94a36e322ec69ae66ee12b0197c6a7f7a69a4 Mon Sep 17 00:00:00 2001
From: Raja Rathour <193507075+Raja-89@users.noreply.github.com>
Date: Thu, 30 Oct 2025 16:31:24 +0530
Subject: [PATCH 282/332] feat(pytorch): Add term entry for PyTorch Tensor
 .reciprocal() operation (#7899)

* feat(pytorch): Add term entry for PyTorch Tensor .reciprocal() operation

Signed-off-by: Raja Rathour <imraja729@gmail.com>

* Enhance reciprocal.md with detailed information

Updated the reciprocal.md file to include title, description, subjects, tags, and examples for the .reciprocal() method in PyTorch.

* Update content/pytorch/concepts/tensor-operations/terms/reciprocal/reciprocal.md

Co-authored-by: Radhika-okhade <radhika.9628@gmail.com>

* Update content/pytorch/concepts/tensor-operations/terms/reciprocal/reciprocal.md

Co-authored-by: Radhika-okhade <radhika.9628@gmail.com>

* Update content/pytorch/concepts/tensor-operations/terms/reciprocal/reciprocal.md

* Update content/pytorch/concepts/tensor-operations/terms/reciprocal/reciprocal.md

* fixed lint and format

---------
---
 .../terms/reciprocal/reciprocal.md            | 95 +++++++++++++++++++
 1 file changed, 95 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/reciprocal/reciprocal.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/reciprocal/reciprocal.md b/content/pytorch/concepts/tensor-operations/terms/reciprocal/reciprocal.md
new file mode 100644
index 00000000000..9dd9df06889
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/reciprocal/reciprocal.md
@@ -0,0 +1,95 @@
+---
+Title: '.reciprocal()'
+Description: 'Computes the element-wise reciprocal of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.reciprocal()`** method performs an element-wise operation that returns the multiplicative inverse of every element in the tensor. For any element `x`, the result is `1/x`. This method works with tensors that have floating-point or complex data types (such as `torch.float32`, `torch.float64`, or `torch.complex64`). If an element equals zero, the reciprocal for that position becomes infinity (`inf`).
+
+## Syntax
+
+```pseudo
+torch.reciprocal(input, *, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor whose elements will be inverted.
+- `out` (Tensor, optional): The output tensor to store the result. Must have the same shape as `input`.
+
+**Return value:**
+
+Returns a tensor containing the element-wise reciprocals of `input`.
+
+## Example 1: Compute element-wise reciprocals
+
+In this example, we create a tensor of floating-point numbers and calculate their reciprocals using `torch.reciprocal()`:
+
+```py
+import torch
+
+# Create a tensor of floating-point values
+x = torch.tensor([2.0, 4.0, 0.5, 0.0])
+
+print("Original Tensor:")
+print(x)
+
+# Compute the reciprocal
+result = torch.reciprocal(x)
+
+print("\nReciprocal Tensor:")
+print(result)
+# Note: Division by zero results in 'inf'
+```
+
+The output of this code is:
+
+```shell
+Original Tensor:
+tensor([2.0000, 4.0000, 0.5000, 0.0000])
+
+Reciprocal Tensor:
+tensor([0.5000, 0.2500, 2.0000,    inf])
+```
+
+## Example 2: Using the `out` parameter
+
+In this example, the result is stored in a pre-allocated output tensor using the `out` parameter:
+
+```py
+import torch
+
+# Input tensor
+x = torch.tensor([1.0, 2.0, 0.25])
+
+# Create an empty tensor with the same shape
+out_tensor = torch.empty_like(x)
+
+# Store the result in 'out_tensor'
+torch.reciprocal(x, out=out_tensor)
+
+print("Input Tensor:")
+print(x)
+
+print("\nReciprocal stored in 'out' tensor:")
+print(out_tensor)
+```
+
+The output of this code is:
+
+```shell
+Input Tensor:
+tensor([1.0000, 2.0000, 0.2500])
+
+Reciprocal stored in 'out' tensor:
+tensor([1.0000, 0.5000, 4.0000])
+```

From ab39eaead4b79034f79b45626eaaf78107f4b745 Mon Sep 17 00:00:00 2001
From: Raja Rathour <193507075+Raja-89@users.noreply.github.com>
Date: Thu, 30 Oct 2025 16:33:53 +0530
Subject: [PATCH 283/332] =?UTF-8?q?feat(pytorch):=20Add=20complete=20term?=
 =?UTF-8?q?=20entry=20for=20PyTorch=20Tensor=20.real()=20ope=E2=80=A6=20(#?=
 =?UTF-8?q?7897)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* feat(pytorch): Add complete term entry for PyTorch Tensor .real() operation (#7853)

Signed-off-by: Raja Rathour <imraja729@gmail.com>

* Enhance .real() method documentation

Updated documentation for the .real() method in PyTorch to include title, description, subjects, tags, and examples.

* Update content/pytorch/concepts/tensor-operations/terms/real/real.md

Co-authored-by: Radhika-okhade <radhika.9628@gmail.com>

* Update content/pytorch/concepts/tensor-operations/terms/real/real.md

Co-authored-by: Radhika-okhade <radhika.9628@gmail.com>

* Update content/pytorch/concepts/tensor-operations/terms/real/real.md

Co-authored-by: Radhika-okhade <radhika.9628@gmail.com>

* Update content/pytorch/concepts/tensor-operations/terms/real/real.md

Co-authored-by: Radhika-okhade <radhika.9628@gmail.com>

* fixed lint and format

---------
---
 .../tensor-operations/terms/real/real.md      | 83 +++++++++++++++++++
 1 file changed, 83 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/real/real.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/real/real.md b/content/pytorch/concepts/tensor-operations/terms/real/real.md
new file mode 100644
index 00000000000..2dd5e203215
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/real/real.md
@@ -0,0 +1,83 @@
+---
+Title: '.real()'
+Description: 'Returns the real part of each element in a complex tensor in PyTorch.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.real()`** method in PyTorch returns a view of the real part of a complex tensor. It provides access to the real component of each element while sharing the same underlying memory as the original complex tensor. Any modification to this real view directly changes the original tensor’s data.
+
+This method is available only for tensors with complex data types such as `torch.complex64` or `torch.complex128`.
+
+## Syntax
+
+```pseudo
+torch.real(input)
+```
+
+**Parameters:**
+
+- `input` (Tensor): A complex-valued input tensor.
+
+**Return value:**
+
+Returns a tensor containing only the real components of the original complex tensor. The returned tensor shares memory with the original tensor and has the corresponding real data type (e.g., `torch.float32` for `torch.complex64`).
+
+## Example
+
+This example demonstrates how to access and modify the real part of a complex tensor using `.real()`:
+
+```py
+import torch
+
+# Create a 2x2 complex tensor
+complex_tensor = torch.tensor([
+    [1 + 2j, 3 + 4j],
+    [5 + 6j, 7 + 8j]
+])
+
+print("Original Tensor:")
+print(complex_tensor)
+
+# Access the real view
+real_view = torch.real(complex_tensor)
+
+print("\nReal Part View:")
+print(real_view)
+
+# Modify a value in the real view
+real_view[0, 0] = 99.0
+
+print("\nOriginal Tensor after modification:")
+print(complex_tensor)
+```
+
+The output of this code is:
+
+```shell
+Original Tensor:
+tensor([[1.+2.j, 3.+4.j],
+        [5.+6.j, 7.+8.j]])
+
+Real Part View:
+tensor([[1., 3.],
+        [5., 7.]])
+
+Original Tensor after modification:
+tensor([[99.+2.j,  3.+4.j],
+        [ 5.+6.j,  7.+8.j]])
+```
+
+Here,
+
+- `.real()` returns a view, not a copy, of the real component of a complex tensor.
+- Any modification made through `.real()` affects the original complex tensor.
+- Applicable only to tensors with complex dtypes (`torch.complex64`, `torch.complex128`).

From 880fe25bc58e89c78391af851ae3fba3702cf32f Mon Sep 17 00:00:00 2001
From: NeemaJoju <neemajoju96@gmail.com>
Date: Thu, 30 Oct 2025 15:18:14 +0100
Subject: [PATCH 284/332] Added file on get-allocator() function (#7835)

* Added file on get-allocator

* Enhance get_allocator() documentation and examples

Updated the explanation of the get_allocator() method in C++ deque to clarify its functionality and provided improved examples for memory allocation and deallocation.

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../terms/get-allocator/get-allocator.md      | 106 ++++++++++++++++++
 1 file changed, 106 insertions(+)
 create mode 100644 content/cpp/concepts/deque/terms/get-allocator/get-allocator.md

diff --git a/content/cpp/concepts/deque/terms/get-allocator/get-allocator.md b/content/cpp/concepts/deque/terms/get-allocator/get-allocator.md
new file mode 100644
index 00000000000..6682ba657bd
--- /dev/null
+++ b/content/cpp/concepts/deque/terms/get-allocator/get-allocator.md
@@ -0,0 +1,106 @@
+---
+Title: '.get_allocator()'
+Description: 'Returns a copy of the allocator that is assigned to deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Containers'
+  - 'Deques'
+  - 'OOP'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`.get_allocator()`** method of a C++ `deque` returns a copy of the allocator object used by the [deque](https://www.codecademy.com/resources/docs/cpp/deque) to manage memory for its elements. This allows allocation and deallocation of raw memory for objects of the deque’s type. Modifications made through the allocator affect only the allocated memory and not the deque itself.
+
+## Syntax
+
+```pseudo
+dequeName.get_allocator();
+```
+
+**Parameters:**
+
+This method does not take any arguments.
+
+**Return value:**
+
+Returns a copy of the allocator object (`allocator_type`) used by the deque to allocate and deallocate memory for its elements.
+
+> **Note:** The allocator only handles raw memory allocation and deallocation. It does not construct or initialize objects. Use placement `new` to construct objects in allocated memory if needed.
+
+## Example 1: Basic Memory Allocation
+
+In this example, a copy of the deque’s allocator is used to allocate memory for three integers, which are then assigned values and deallocated manually:
+
+```cpp
+#include <iostream>
+#include <deque>
+
+int main() {
+
+  // Define a deque and an allocator pointer
+  std::deque<int> d;
+  int *p;
+
+  // Get a copy of d's allocator
+  auto a= d.get_allocator();
+
+  // Allocate memory for 3 elements
+  p=a.allocate(3);
+
+  // Assign values manually
+  p[0] = 1;
+  p[1] = 2;
+  p[2] = 3;
+
+  // Print values
+  std::cout << p[0] << ", " << p[1] << ", "<< p[2];
+
+  // Deallocate memory
+  a.deallocate(p,3);
+
+  return 0;
+}
+```
+
+The above code generates the following output:
+
+```shell
+1, 2, 3
+```
+
+## Codebyte Example: Using Allocator with Loop and Temporary Access
+
+In this example, the deque’s allocator is used directly to allocate memory for multiple elements, which are initialized in a loop and then deallocated:
+
+```codebyte/cpp
+#include <iostream>
+#include <deque>
+using namespace std;
+
+int main() {
+  deque<int> d;
+  int *p;
+
+  // Allocate memory for 3 elements using a temporary allocator copy
+  p = d.get_allocator().allocate(3);
+
+  // Assign values using a loop
+  for(int i = 0; i < 3; i++)
+    p[i] = i;
+
+  // Print values
+  for(int i = 0; i < 3; i++)
+    cout << p[i] << ", ";
+  cout << endl;
+
+  // Deallocate memory
+  d.get_allocator().deallocate(p, 3);
+
+  return 0;
+}
+```

From 1628ed8045e01878843c49336cafa42767d57020 Mon Sep 17 00:00:00 2001
From: Pessoa <lempb.pessoa@gmail.com>
Date: Thu, 30 Oct 2025 14:35:05 +0000
Subject: [PATCH 285/332] [Term Entry] Python deque: index() (Codecademy#7755)
 (#7784)

* [Term Entry] Python deque: index() (Codecademy#7755)
* Adding index.md
---------

* minor content fixes

* fixed typo

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Lint

---------
---
 .../concepts/deque/terms/index/index.md       | 96 +++++++++++++++++++
 1 file changed, 96 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/index/index.md

diff --git a/content/python/concepts/deque/terms/index/index.md b/content/python/concepts/deque/terms/index/index.md
new file mode 100644
index 00000000000..cfd7a39a45c
--- /dev/null
+++ b/content/python/concepts/deque/terms/index/index.md
@@ -0,0 +1,96 @@
+---
+Title: 'index'
+Description: 'Returns the position of the first occurrence of a specified element within the deque.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Algorithms'
+  - 'Collections'
+  - 'Data Structures'
+  - 'Deques'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`index()`** method in a Python [deque](https://www.codecademy.com/resources/docs/python/collections-module/deque) returns the position of the first occurrence of a specified element within the deque.
+
+## Syntax
+
+```pseudo
+deque.index(element, start=0, stop=len(deque))
+```
+
+**Parameters:**
+
+- `element`: The element to be found within the deque.
+- `start` (Optional): The zero-based inclusive index to specify the start position of the search.
+- `stop` (Optional): The index to end the search (default is the length of the deque).
+
+**Return value:**
+
+Returns the index (`int`) of the first matching element; raises a `ValueError` if the element is not found.
+
+> **Note:** This method raises a `ValueError` if the element is not in the deque, which can stop the code if not handled inside a [try and except](https://www.codecademy.com/resources/docs/python/keywords/try) block.
+
+## Example 1: Finding elements by position
+
+In this example, `index()` is used to find the position of elements in different scenarios:
+
+```py
+from collections import deque
+
+# Create a deque
+dq = deque([1, 2, 3, 1, 4, 5, 1])
+
+# Find the very first position of (4)
+print("Very first position of (4):", dq.index(4))
+
+# Find the position of (1) after index=0
+start = 0 + 1  # Since the start parameter is inclusive, add 1 to skip index=0.
+print("Position of (1) after index=0:", dq.index(1, 1))
+
+# Find the position of (1) in a given window
+start = 1
+stop = 6
+print("Position of (1) between index=1 inclusive and index=6 exclusive:", dq.index(1, 1, 6))
+
+# Find the position of (10), which is not in the deque
+try:
+  print("Position of (10):", dq.index(10))
+except ValueError as ve:
+  print("Trying to find the index of a nonexistent element will cause an error.")
+  print(ve)
+```
+
+The output of this code is:
+
+```shell
+Very first position of (4): 4
+Position of (1) after index=0: 3
+Position of (1) between index=1 inclusive and index=6 exclusive: 3
+Trying to find the index of a nonexistent element will cause an error.
+10 is not in deque
+```
+
+## Codebyte Example: Finding elements by value range
+
+In this example, `index()` finds the position of the element `"apple"` in different scenarios, showing its flexibility and use of parameters:
+
+```codebyte/python
+from collections import deque
+
+# Create a deque with some initial elements
+fruits = deque(["apple", "banana", "apple", "lemon", "apple", "tomato"])
+
+# Find the index for the first occurrence of "apple"
+first_occurrence_of_apple_index = fruits.index("apple")
+print("First found index for apple:", first_occurrence_of_apple_index)
+
+# Find the next occurrence of "apple" after the first occurrence
+print("Next occurrence:", fruits.index("apple", first_occurrence_of_apple_index + 1))
+
+# Find the index for "apple" between index=1 inclusive and index=4 exclusive
+print("Index for apple between (1) inclusive and (4) exclusive:", fruits.index("apple", 1, 4))
+```

From 776296971ffbf644e6e03d97cacefefee85ab24a Mon Sep 17 00:00:00 2001
From: Avdhoot <50920321+avdhoottt@users.noreply.github.com>
Date: Thu, 30 Oct 2025 20:11:07 +0530
Subject: [PATCH 286/332] [Term Entry] NumPy Ndarray: .sort() (#7909)

* Sort entry

* minor fixes

* Update sort.md with new content structure

* Format

---------
---
 .../numpy/concepts/ndarray/terms/sort/sort.md | 71 +++++++++++++++++++
 1 file changed, 71 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/sort/sort.md

diff --git a/content/numpy/concepts/ndarray/terms/sort/sort.md b/content/numpy/concepts/ndarray/terms/sort/sort.md
new file mode 100644
index 00000000000..097a028cf2c
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/sort/sort.md
@@ -0,0 +1,71 @@
+---
+Title: '.sort()'
+Description: 'Sorts the array in-place along the specified axis.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Elements'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.sort()`** method sorts a NumPy [array](https://www.codecademy.com/resources/docs/numpy/ndarray) in-place in ascending order along a specified axis. It modifies the original array and does not return a new one.
+
+## Syntax of Numpy `.sort()`
+
+```pseudo
+ndarray.sort(axis=-1, kind=None, order=None)
+```
+
+**Parameters:**
+
+- `axis`: Axis along which to sort. Default is `-1` (last axis). Use `None` to sort the flattened array.
+- `kind`: Sorting algorithm: `'quicksort'` (default), `'mergesort'`, `'heapsort'`, or `'stable'`.
+- `order`: Only for structured arrays. Specifies the field(s) to sort by.
+
+## Example
+
+In this example, the `.sort()` method is used to sort a NumPy array in descending order:
+
+```py
+# Import NumPy
+import numpy as np
+
+# Create a NumPy array
+nf = np.array(['aaa', 'xxx', 'ddd', 'sss'])
+
+# Sort in descending order
+nf.sort()     # Sorts in ascending order
+nf = nf[::-1] # Reverses to get descending order
+
+print(nf)
+```
+
+The above code will result in the following output:
+
+```shell
+['xxx' 'sss' 'ddd' 'aaa']
+```
+
+## Codebyte Example
+
+In the following codebyte example, a NumPy array `nf` is created with integers, sorted in ascending order using NumPy's `.sort()` method, and then reversed to display the values in descending order:
+
+```codebyte/python
+import numpy as np
+
+nf = np.array([5, 1, 9, 3, 2, 8])
+
+# Sort the array in-place using NumPy's sort method
+nf.sort()
+print("Ascending:", nf)
+
+# Reverse for descending order
+nf = nf[::-1]
+print("Descending:", nf)
+```

From 383949b6cfe2094f6fe50b50528cce649905a133 Mon Sep 17 00:00:00 2001
From: Avdhoot <50920321+avdhoottt@users.noreply.github.com>
Date: Thu, 30 Oct 2025 20:14:08 +0530
Subject: [PATCH 287/332] [Term entry] C++Sets Swap() (#7908)

* Added C++ Swap

* Update swap() documentation and examples

* Update swap() documentation for clarity

* Format + Lint

---------
---
 content/cpp/concepts/sets/terms/swap/swap.md | 102 +++++++++++++++++++
 1 file changed, 102 insertions(+)
 create mode 100644 content/cpp/concepts/sets/terms/swap/swap.md

diff --git a/content/cpp/concepts/sets/terms/swap/swap.md b/content/cpp/concepts/sets/terms/swap/swap.md
new file mode 100644
index 00000000000..3fa910c795a
--- /dev/null
+++ b/content/cpp/concepts/sets/terms/swap/swap.md
@@ -0,0 +1,102 @@
+---
+Title: 'swap()'
+Description: 'Exchanges the contents of two sets.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Containers'
+  - 'Methods'
+  - 'Sets'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`swap()`** method in C++ exchanges the contents of two [`std::set`](https://www.codecademy.com/resources/docs/cpp/sets) containers of identical type (same key type, comparator type, and allocator type). This operation is typically faster than copying or moving elements individually, as it swaps internal pointers and metadata without modifying or relocating the actual elements.
+
+## Syntax of C++ `swap()`
+
+```pseudo
+set1.swap(set2);
+```
+
+Or using the non-member function:
+
+```pseudo
+std::swap(set1, set2);
+```
+
+**Parameters:**
+
+- `set1`, `set2`: Two `std::set` containers of the same type (including the same key type, comparator, and allocator).
+
+**Return value:**
+
+- The `swap()` method does not return anything. It simply swaps the contents.
+
+## Example
+
+In this example, `std::swap()` is used to exchange the contents of two integer sets named `odds` and `evens`:
+
+```cpp
+#include <iostream>
+#include <set>
+#include <algorithm>
+
+int main() {
+  std::set<int> odds  {1, 3, 5, 7};
+  std::set<int> evens {2, 4, 6, 8};
+
+  std::cout << "Before swap → odds: ";
+  for (int n : odds)  std::cout << n << ' ';
+  std::cout << "| evens: ";
+  for (int n : evens) std::cout << n << ' ';
+  std::cout << '\n';
+
+  std::swap(odds, evens);   // non‑member swap
+
+  std::cout << "After  swap → odds: ";
+  for (int n : odds)  std::cout << n << ' ';
+  std::cout << "| evens: ";
+  for (int n : evens) std::cout << n << ' ';
+  std::cout << '\n';
+}
+```
+
+The output of this code is:
+
+```shell
+Before swap → odds: 1 3 5 7 | evens: 2 4 6 8
+After  swap → odds: 2 4 6 8 | evens: 1 3 5 7
+```
+
+## Codebyte Example
+
+In this example, the member function `swap()` is used to swap the contents of two string sets, `a` and `b`:
+
+```codebyte/cpp
+#include <iostream>
+#include <set>
+#include <algorithm>
+
+int main() {
+  std::set<std::string> a {"apple", "banana"};
+  std::set<std::string> b {"carrot", "date", "eggplant"};
+
+  auto dump = [](const std::string& label, const std::set<std::string>& s){
+    std::cout << label << ": ";
+    for (const auto& v : s) std::cout << v << ' ';
+    std::cout << '\n';
+  };
+
+  dump("a", a);
+  dump("b", b);
+
+  a.swap(b); // member swap
+
+  std::cout << "\nAfter swap\n";
+  dump("a", a);
+  dump("b", b);
+}
+```

From 3abafaf2b01b77453f396933cc3ce040af50b671 Mon Sep 17 00:00:00 2001
From: Avdhoot <50920321+avdhoottt@users.noreply.github.com>
Date: Thu, 30 Oct 2025 20:16:41 +0530
Subject: [PATCH 288/332] [Term Entry] Java Queue: size() (#7907)

* Java Size PR

* Revise size() method documentation for clarity

Updated the documentation for the size() method to clarify its purpose and examples.

* fixed formatting

* Update size.md with examples and syntax

* fixed formatting

* Update size.md

* Update size.md

* format fix

* format

---------
---
 .../java/concepts/queue/terms/size/size.md    | 95 +++++++++++++++++++
 1 file changed, 95 insertions(+)
 create mode 100644 content/java/concepts/queue/terms/size/size.md

diff --git a/content/java/concepts/queue/terms/size/size.md b/content/java/concepts/queue/terms/size/size.md
new file mode 100644
index 00000000000..3ca92ce4f69
--- /dev/null
+++ b/content/java/concepts/queue/terms/size/size.md
@@ -0,0 +1,95 @@
+---
+Title: 'size()'
+Description: 'Returns the number of elements stored in a queue.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Collections'
+  - 'Methods'
+  - 'Numbers'
+  - 'Queues'
+CatalogContent:
+  - 'learn-java'
+  - 'paths/computer-science'
+---
+
+In Java, **`size()`** method returns the number of elements currently present in a collection like a queue, helping determine how many items are stored at any given moment.
+
+## Syntax
+
+```pseudo
+queue.size()
+```
+
+**Parameters:**
+
+The `size()` method does not take any parameters.
+
+**Return value:**
+
+- Returns an integer representing the number of elements in the queue.
+
+## Example 1: Get Queue Length using Java `size()`
+
+In this example, the `size()` method in Java is used to find the number of elements present in a queue:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+
+public class QueueSizeExample {
+  public static void main(String[] args) {
+    Queue<String> queue = new LinkedList<>();
+
+    queue.add("Apple");
+    queue.add("Banana");
+    queue.add("Cherry");
+
+    System.out.println("Queue size: " + queue.size());
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Queue size: 3
+```
+
+## Example 2: Check Queue Size Before Processing
+
+In this example, the `size()` method in Java is used to verify if a queue contains elements before processing them:
+
+```java
+import java.util.LinkedList;
+import java.util.Queue;
+
+public class QueueSizeCheckExample {
+  public static void main(String[] args) {
+    Queue<Integer> numbers = new LinkedList<>();
+
+    numbers.add(10);
+    numbers.add(20);
+    numbers.add(30);
+
+    if (numbers.size() > 0) {
+      System.out.println("Queue has " + numbers.size() + " elements. Processing...");
+      while (!numbers.isEmpty()) {
+        System.out.println("Removed: " + numbers.remove());
+      }
+    } else {
+      System.out.println("Queue is empty. Nothing to process.");
+    }
+  }
+}
+```
+
+The output of this code is:
+
+```shell
+Queue has 3 elements. Processing...
+Removed: 10
+Removed: 20
+Removed: 30
+```

From bbaba37c73ebca74a8f2f2d3b6b349ea56ed5be2 Mon Sep 17 00:00:00 2001
From: AayushJB03 <145219884+AayushJB03@users.noreply.github.com>
Date: Thu, 30 Oct 2025 21:24:07 +0530
Subject: [PATCH 289/332] [Term Entry] Python NumPy - ndarray: shape

* Add NumPy ndarray shape term entry (#7824)

* Enhance documentation for ndarray shape attribute

Added detailed explanations for parameters and return values of the shape attribute. Updated examples and FAQs for clarity.

* Fix syntax for ndarray shape reference

* Minor changes

---------
---
 .../concepts/ndarray/terms/shape/shape.md     | 84 +++++++++++++++++++
 1 file changed, 84 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/shape/shape.md

diff --git a/content/numpy/concepts/ndarray/terms/shape/shape.md b/content/numpy/concepts/ndarray/terms/shape/shape.md
new file mode 100644
index 00000000000..be586925e48
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/shape/shape.md
@@ -0,0 +1,84 @@
+---
+Title: '.shape'
+Description: 'Returns a tuple representing the dimensions of an ndarray.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'NumPy'
+  - 'Tuples'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.shape`** attribute of a NumPy `ndarray` returns a [tuple](https://www.codecademy.com/resources/docs/python/tuples) of integers specifying the size of the array in each dimension. It provides information about the structure and layout of the array.
+
+## Syntax
+
+```pseudo
+ndarray.shape
+```
+
+**Parameters:**
+
+This attribute does not take any parameters.
+
+**Return value:**
+
+Returns a tuple of integers representing the size of the array along each dimension.
+
+- For a 1D array, it returns a single value (e.g., `(5,)`).
+- For a 2D array, it returns two values i.e. rows and columns (e.g., `(3, 4)`).
+- For higher dimensions, it includes one integer per axis.
+
+## Example
+
+The following example demonstrates how to use the `.shape` attribute to get the dimensions of different ndarrays:
+
+```py
+import numpy as np
+
+# 1D array
+arr_1d = np.array([1, 2, 3, 4, 5])
+print(arr_1d.shape)
+
+# 2D array
+arr_2d = np.array([[1, 2, 3], [4, 5, 6]])
+print(arr_2d.shape)
+
+# 3D array
+arr_3d = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
+print(arr_3d.shape)
+```
+
+The output for the above code will be:
+
+```shell
+(5,)
+(2, 3)
+(2, 2, 2)
+```
+
+## Codebyte Example
+
+The following codebyte example shows how to use the `.shape` attribute and modify array dimensions:
+
+```codebyte/python
+import numpy as np
+
+# Create a 1D array
+original_array = np.array([1, 2, 3, 4, 5, 6])
+print("Original shape:", original_array.shape)
+
+# Reshape to 2D array
+reshaped_array = original_array.reshape(2, 3)
+print("Reshaped to 2D:", reshaped_array.shape)
+print(reshaped_array)
+
+# Reshape to 3D array
+reshaped_3d = original_array.reshape(2, 3, 1)
+print("Reshaped to 3D:", reshaped_3d.shape)
+```

From a299fa33b1ab0043db147d2702e7bd49e6b6d628 Mon Sep 17 00:00:00 2001
From: Hrithik Sawhney <44416769+hrithiksawhney@users.noreply.github.com>
Date: Thu, 30 Oct 2025 21:37:49 +0530
Subject: [PATCH 290/332] [Term Entry] Python NumPy - ndarray: itemsize

* feat: [Term Entry] Python NumPy - ndarray: itemsize

* Revise itemsize documentation in NumPy terms

Updated the description and formatting of the itemsize attribute documentation for clarity and consistency.

* Update print statement from 'Hello' to 'Goodbye'

* Minor changes

---------
---
 .../ndarray/terms/itemsize/itemsize.md        | 74 +++++++++++++++++++
 1 file changed, 74 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/itemsize/itemsize.md

diff --git a/content/numpy/concepts/ndarray/terms/itemsize/itemsize.md b/content/numpy/concepts/ndarray/terms/itemsize/itemsize.md
new file mode 100644
index 00000000000..22171f8ba90
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/itemsize/itemsize.md
@@ -0,0 +1,74 @@
+---
+Title: '.itemsize'
+Description: 'Returns the size in bytes of each element in a NumPy array.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Attributes'
+  - 'Data Structures'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.itemsize`** attribute of a NumPy `ndarray` returns the number of bytes used to store each element in the array, as determined by the array’s [`dtype`](https://www.codecademy.com/resources/docs/python/data-types).
+
+## Syntax
+
+```pseudo
+ndarray.itemsize
+```
+
+**Parameters:**
+
+This attribute does not take any parameters.
+
+**Return value:**
+
+Returns an integer that represents the number of bytes used to store each element in the array, based on its data type (`dtype`).
+
+## Example
+
+In this example, arrays with different data types return different byte sizes per element when accessed through the `.itemsize` attribute:
+
+```py
+import numpy as np
+
+arr_int32 = np.array([1, 2, 3], dtype=np.int32)
+arr_float64 = np.array([1.0, 2.0, 3.0], dtype=np.float64)
+arr_int8 = np.array([1, 2, 3], dtype=np.int8)
+
+print(arr_int32.itemsize)   # 4 bytes per element
+print(arr_float64.itemsize) # 8 bytes per element
+print(arr_int8.itemsize)    # 1 byte per element
+
+# Equal to dtype.itemsize
+print(arr_int32.itemsize == arr_int32.dtype.itemsize)
+```
+
+This produces output similar to:
+
+```shell
+4
+8
+1
+True
+```
+
+## Codebyte Example
+
+In this example, the `.itemsize` attribute is used to inspect the memory size of elements for different NumPy dtypes:
+
+```codebyte/python
+import numpy as np
+
+arr_a = np.array([10, 20, 30], dtype=np.int16)   # 2 bytes
+arr_b = np.array([1.0, 2.0, 3.0], dtype=np.float32)  # 4 bytes
+
+print(arr_a.dtype, arr_a.itemsize)
+print(arr_b.dtype, arr_b.itemsize)
+print(arr_a.itemsize == arr_a.dtype.itemsize)
+```

From 7a4bba435746808cf4da114a759601ba2d124300 Mon Sep 17 00:00:00 2001
From: Tukesh Kumar <tukeshkrraju1011@gmail.com>
Date: Thu, 30 Oct 2025 23:18:46 +0530
Subject: [PATCH 291/332] docs: added  a new Python time-module term entry for
 time.asctime() (#7636)

* docs: add asctime() term under python/time-module

* minor content fixes

---------
---
 .../time-module/terms/asctime/asctime.md      | 77 +++++++++++++++++++
 1 file changed, 77 insertions(+)
 create mode 100644 content/python/concepts/time-module/terms/asctime/asctime.md

diff --git a/content/python/concepts/time-module/terms/asctime/asctime.md b/content/python/concepts/time-module/terms/asctime/asctime.md
new file mode 100644
index 00000000000..cc434da9651
--- /dev/null
+++ b/content/python/concepts/time-module/terms/asctime/asctime.md
@@ -0,0 +1,77 @@
+---
+Title: 'asctime()'
+Description: 'Converts a time tuple or `struct_time` to a 24‑character human‑readable string.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'Methods'
+  - 'Python'
+  - 'Time'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`time.asctime()`** Python function converts a time value (a 9‑element tuple or `time.struct_time`) into a readable, 24‑character string such as `'Wed Sep 17 19:40:37 2025'`.
+
+## Syntax of `time.asctime()`
+
+```pseudo
+import time
+
+time.asctime(t)
+```
+
+**Parameters:**
+
+- `t` (optional): A 9‑tuple or `time.struct_time` representing a UTC or local time, with fields `(year, month, mday, hour, min, sec, wday, yday, isdst)` as produced by `time.localtime()` or `time.gmtime()`.
+  - If omitted, `time.asctime()` uses `time.localtime()`.
+  - `wday` (weekday) and `yday` (day of year) are ignored.
+  - `isdst` may be `-1`, `0`, or `1`.
+
+**Return value:**
+
+- `str`: A 24‑character string of the form `'Sun Jun 20 23:21:05 1993'`. The day of month is two characters wide and space‑padded if needed (e.g., `'Wed Sep 17 19:40:37 2025'`).
+
+## Example
+
+Convert the current local time (from `localtime()`) and show the default call with no arguments:
+
+```py
+import time
+
+# Using localtime() with asctime()
+t = time.localtime()
+lc = time.asctime(t)
+print("Current local time represented in string:", lc)
+
+# Default call (formats current local time)
+print(time.asctime())
+```
+
+Example output:
+
+```shell
+Current local time represented in string: Wed Sep 17 19:40:37 2025
+Wed Sep 17 19:40:37 2025
+```
+
+> **Note:** The exact output will vary depending on when the function is run.
+
+## Codebyte
+
+Run this to see `time.asctime()` in action with local time, a UTC `struct_time`, and a custom tuple:
+
+```codebyte/python
+import time
+
+# No argument → formats the current local time
+print("Current local time:", time.asctime())
+
+# Using an explicit 9-tuple
+# Format: (year, month, day, hour, minute, second, weekday, yearday, isdst)
+custom_time = (2025, 9, 17, 10, 30, 0, 0, 0, -1)
+print("Custom tuple:", time.asctime(custom_time))
+```

From 7aec70d697b28d366096bc0a1637c2da9ad7e03f Mon Sep 17 00:00:00 2001
From: nigelgold <nigelgold2@hotmail.com>
Date: Fri, 31 Oct 2025 02:12:13 -0400
Subject: [PATCH 292/332] [Term Entry] Python Deque: .clear()

* please see the new term entry for the deque clear method in python.

* Revise clear() method documentation for clarity

Updated the documentation for the clear() method in Python's deque class to improve clarity and correctness. Adjusted examples and descriptions to reflect accurate usage and behavior.

* Minor changes

---------
---
 .../concepts/deque/terms/clear/clear.md       | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/python/concepts/deque/terms/clear/clear.md

diff --git a/content/python/concepts/deque/terms/clear/clear.md b/content/python/concepts/deque/terms/clear/clear.md
new file mode 100644
index 00000000000..e167b9e56de
--- /dev/null
+++ b/content/python/concepts/deque/terms/clear/clear.md
@@ -0,0 +1,76 @@
+---
+Title: '.clear()'
+Description: 'Removes all elements from the deque, leaving it empty.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Algorithms'
+  - 'Collections'
+  - 'Data Structures'
+  - 'Deques'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.clear()`** method in Python’s `collections.deque` class removes all elements from the deque, leaving it empty. It’s useful when the contents of the deque need to be cleared without deleting the object itself.
+
+The method modifies the deque in place and returns `None`. Its time complexity is `O(n)` since it removes elements one by one.
+
+## Syntax
+
+```pseudo
+deque.clear()
+```
+
+**Parameters:**
+
+- `None`: This method does not take any parameters as it simply resets the deque to empty.
+
+**Return value:**
+
+The return value of `.clear()` should be a check to determine if the deque is empty. This can be done using an `if` statement with a return value of `true` when checked if empty or simply a `print()` statement to output the length of the deque.
+
+## Example 1: Clearing All Elements from a Deque
+
+In this example, the `.clear()` method removes every element from the deque, and an `if` statement checks whether it is empty afterward:
+
+```py
+from collections import deque
+
+# Create a deque
+cars = deque(["toyota", "suzuki", "honda"])
+print(f"Initial deque is as follows: {cars}")
+
+# Clearing the deque
+cars.clear()
+
+# If statement to check if the deque has been sucessfully cleared
+if not cars:
+  print("the deque is empty")
+```
+
+The output of this code is:
+
+```shell
+Initial deque: deque(['Toyota', 'Suzuki', 'Honda'])
+The deque is empty.
+```
+
+## Codebyte Example: Clearing Completed Tasks
+
+In this example, a deque keeps track of recent tasks in a to-do list. After all tasks are completed, the `.clear()` method is used to empty the deque and prepare it for new tasks:
+
+```codebyte/python
+from collections import deque
+
+# Create a deque of completed tasks
+completed_tasks = deque(["Write report", "Send emails", "Backup files"])
+print(f"Completed tasks: {completed_tasks}")
+
+# Clear all tasks to reuse the deque for a new session
+completed_tasks.clear()
+
+print(f"Tasks after clearing: {completed_tasks}")
+```

From c891666e2849c5851b99ff3f46a21a08955c3f5c Mon Sep 17 00:00:00 2001
From: riyadey27 <182591594+riyadey27@users.noreply.github.com>
Date: Fri, 31 Oct 2025 11:55:15 +0530
Subject: [PATCH 293/332] [Term Entry] Python NumPy - ndarray: copy()

* docs: Add term entry for NumPy ndarray.copy()

* Revise copy() documentation for clarity and accuracy

Updated metadata and improved clarity in the description and examples for the copy() method in NumPy.

* Minor changes

---------
---
 .../numpy/concepts/ndarray/terms/copy/copy.md | 91 +++++++++++++++++++
 1 file changed, 91 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/copy/copy.md

diff --git a/content/numpy/concepts/ndarray/terms/copy/copy.md b/content/numpy/concepts/ndarray/terms/copy/copy.md
new file mode 100644
index 00000000000..b271d0068cd
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/copy/copy.md
@@ -0,0 +1,91 @@
+---
+Title: '.copy()'
+Description: 'Creates and returns a new, independent copy of a NumPy ndarray.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.copy()`** method in NumPy creates a new, independent copy of an array (`ndarray`). Unlike simple assignment, which creates a view that shares the same underlying data, it ensures that changes to the new array do not affect the original, and vice versa. This is useful when you need to modify an array while preserving the original data.
+
+## Syntax
+
+```pseudo
+ndarray.copy(order='C')
+```
+
+**Parameters:**
+
+- `order` (optional, `str`): Controls the memory layout of the copy.
+  - `'C'` (default): C-style (row-major) order.
+  - `'F'`: Fortran-style (column-major) order.
+  - `'A'`: Preserves the array’s order — Fortran if the original is Fortran-contiguous, otherwise C.
+  - `'K'`: Keeps the order as closely as possible to the original.
+
+**Return value:**
+
+Returns a new `ndarray` object that is an independent copy of the original array.
+
+## Example: Basic Usage of `.copy()`
+
+The following example demonstrates the difference between assignment (which shares data) and using `.copy()` (which creates an independent copy):
+
+```py
+import numpy as np
+
+# Original array
+original = np.array([10, 20, 30])
+print(f"Original array: {original}")
+
+# Assignment creates a reference (shares data)
+view = original
+view[0] = 111
+print(f"Original after modifying view: {original}")
+
+# Reset original for clarity
+original = np.array([10, 20, 30])
+
+# copy() creates an independent copy
+copied_array = original.copy()
+copied_array[0] = 999
+print(f"Original after modifying copy: {original}")
+print(f"Copied array: {copied_array}")
+```
+
+Output of the above example:
+
+```shell
+Original array: [10 20 30]
+Original after modifying view: [111 20 30]
+Original after modifying copy: [10 20 30]
+Copied array: [999 20 30]
+```
+
+## Codebyte Example: Copying a 2D Array Using `.copy()`
+
+This example shows how `.copy()` works with a 2D array. It modifies the copy while leaving the original unchanged:
+
+```codebyte/python
+import numpy as np
+
+# Create the original 2D array
+original_arr = np.arange(4).reshape((2, 2))
+print(f"Original array:\n{original_arr}")
+
+# Create an independent copy
+copied_arr = original_arr.copy()
+
+# Modify an element in the copy
+copied_arr[0, 1] = 50
+print(f"\nCopied array after modification:\n{copied_arr}")
+
+# Verify the original array is unaffected
+print(f"\nOriginal array (still unchanged):\n{original_arr}")
+```

From 9b55189b2a183f932c78f315b9bfcd024eed70ff Mon Sep 17 00:00:00 2001
From: vanshika <vanshika.umbri@gmail.com>
Date: Fri, 31 Oct 2025 12:08:07 +0530
Subject: [PATCH 294/332] [Term Entry] Python NumPy - ndarray: prod()

* TermEntryNdarrayProd #7863

* Revise .prod() function documentation in prod.md

Updated the description and parameters of the .prod() function in NumPy documentation for clarity and accuracy. Fixed formatting issues and improved examples.

* Minor changes

---------
---
 .../numpy/concepts/ndarray/terms/prod/prod.md | 84 +++++++++++++++++++
 1 file changed, 84 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/prod/prod.md

diff --git a/content/numpy/concepts/ndarray/terms/prod/prod.md b/content/numpy/concepts/ndarray/terms/prod/prod.md
new file mode 100644
index 00000000000..c4063980e94
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/prod/prod.md
@@ -0,0 +1,84 @@
+---
+Title: '.prod()'
+Description: 'Calculates the product of all elements in a NumPy array, optionally along a specified axis.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Functions'
+  - 'Math'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.prod()`** function in NumPy returns the product of array elements over a specified axis. It’s useful in mathematical and statistical operations, especially with multi-dimensional arrays where the product needs to be computed across rows, columns, or the entire array. This function is also available as the standalone function `numpy.prod()`.
+
+## Syntax
+
+```pseudo
+ndarray.prod(axis=None, dtype=None, out=None, keepdims=False, initial=1, where=True)
+```
+
+**Parameters:**
+
+- `axis` (int or tuple of ints, optional): The axis or axes along which the product is computed.
+  - If `None` (default), the product of all elements in the array is returned.
+  - If an integer or tuple of integers, the product is computed along the specified axis or axes.
+- `dtype` (Optional): The data type of the returned array and of the accumulator used in the computation. If not specified, it’s inferred from the input to avoid overflow when possible.
+- `out` (ndarray, optional): An alternate output array in which to place the result. It must have the same shape as the expected output.
+- `keepdims` (bool, optional): If `True`, the reduced axes are kept in the result as dimensions with size one. Default is `False`.
+- `initial` (scalar, optional): The starting value for the product. The default is `1`.
+- `where` (array_like of bool, optional): A boolean array indicating elements to include in the product. Elements where `where` is `False` are ignored.
+
+**Return value:**
+
+Returns the product of array elements over the specified axis (or the entire array if `axis=None`). The returned type matches the input or the specified `dtype`.
+
+## Example
+
+The following example shows the use of the `.prod()` to calculate the product of all elements in a 1D array and the product along the columns in a 2D array:
+
+```py
+import numpy as np
+
+# 1D array example
+arr_1d = np.array([2, 3, 4])
+product_all = arr_1d.prod()
+
+# 2D array example
+# [[1, 2],
+#  [5, 6]]
+arr_2d = np.array([[1, 2], [5, 6]])
+
+# Product along columns (axis=0): (1*5, 2*6)
+product_cols = arr_2d.prod(axis=0)
+
+print(f"Product of all elements (1D): {product_all}")
+print(f"Product along columns (axis=0) in 2D: {product_cols}")
+```
+
+The code above generates the following output:
+
+```shell
+Product of all elements (1D): 24
+Product along columns (axis=0) in 2D: [ 5 12]
+```
+
+## Codebyte Example
+
+The following codebyte example demonstrates calculating the product of elements along the rows (`axis=1`) of a 2D array:
+
+```codebyte/python
+import numpy as np
+
+arr = np.array([[10, 1],
+                [3, 4]])
+
+# Product along rows (axis=1): (10*1, 3*4)
+product_rows = arr.prod(axis=1)
+
+print(product_rows)
+```

From 87799af39d536060e7a26ea89c1426dda5fbbbcd Mon Sep 17 00:00:00 2001
From: Yuval Levental <yhl3051@g.rit.edu>
Date: Fri, 31 Oct 2025 02:39:53 -0400
Subject: [PATCH 295/332] Add PyTorch .positive() tensor operation
 documentation (#7914)

* Add PyTorch .positive() tensor operation documentation

* minor fix

* Created parameters to stay consistent

* removed the code snippet

* Fix parameter heading in positive.md

Corrected the heading from 'Parameter' to 'Parameters' for clarity.

* Document return value for .positive() method

Add return value description for .positive() method.

* Update positive.md

---------
---
 .../terms/positive/positive.md                | 75 +++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/positive/positive.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/positive/positive.md b/content/pytorch/concepts/tensor-operations/terms/positive/positive.md
new file mode 100644
index 00000000000..2128d323413
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/positive/positive.md
@@ -0,0 +1,75 @@
+---
+Title: '.positive()'
+Description: 'Returns a copy of the input tensor with the same values. Implements the unary plus operation.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Deep Learning'
+  - 'Methods'
+  - 'Programming'
+  - 'PyTorch'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.positive()`** method in PyTorch returns a new [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) containing the same values as the input tensor. It implements the unary plus operation (`+tensor`), creating a copy of the tensor without modifying the values. This method is useful when an explicit copy or consistency with other unary operations in mathematical expressions is needed.
+
+## Syntax
+
+```pseudo
+torch.positive(input)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor.
+
+**Return value:**
+
+The `.positive()` method returns a new tensor with the same values and data type as the input tensor.
+
+## Example
+
+This example demonstrates how to use the `.positive()` method to create a copy of a tensor:
+
+```py
+import torch
+
+# Define a tensor with positive and negative values
+tensor = torch.tensor([[-3.5, 2.1], [0.0, -7.8]])
+
+# Apply the positive operation
+positive_tensor = torch.positive(tensor)
+
+# Verify they contain the same values
+print("Original Tensor:")
+print(tensor)
+
+print("\nPositive Tensor:")
+print(positive_tensor)
+
+# Check if they are the same object
+print("\nAre they the same object?", tensor is positive_tensor)
+```
+
+This example results in the following output:
+
+```shell
+Original Tensor:
+tensor([[-3.5000,  2.1000],
+        [ 0.0000, -7.8000]])
+
+Positive Tensor:
+tensor([[-3.5000,  2.1000],
+        [ 0.0000, -7.8000]])
+
+Are they the same object? False
+```
+
+In this example:
+
+- **Value Preservation**: All values remain unchanged, including negative numbers (-3.5 stays -3.5, -7.8 stays -7.8).
+- **New Tensor**: The `.positive()` method creates a new tensor object, as confirmed by the `is` comparison returning `False`.
+- **Use Case**: This operation is equivalent to the unary `+` operator and is primarily used for creating explicit copies or maintaining consistency in mathematical operations.

From c828d1694d98e96d09e1a7866f24ad5178b9806b Mon Sep 17 00:00:00 2001
From: Priyanshjain10 <Priyanshj1304@gmail.com>
Date: Fri, 31 Oct 2025 12:33:04 +0530
Subject: [PATCH 296/332] docs: Add NumPy ndarray .sum() method documentation
 (#7912)

* docs: Add NumPy ndarray .sum() method documentation

Created comprehensive documentation for the NumPy ndarray .sum() method including:
- Complete front matter with Data Science subjects and tags
- Clear definition and syntax section
- Detailed parameters (axis, dtype, out, keepdims, initial, where) and return values
- Three practical code examples with outputs:
  1. Sum of all elements
  2. Sum along specific axes (rows and columns)
  3. Using initial value and where parameter for conditional sums
- Notes section with important usage tips
- Related functions section

Fixes #7856

Submitted for Hacktoberfest 2025.

* Update sum.md

* Update sum.md

* Update sum.md

* Update sum.md

* format n lint fix

---------
---
 .../numpy/concepts/ndarray/terms/sum/sum.md   | 99 +++++++++++++++++++
 1 file changed, 99 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/sum/sum.md

diff --git a/content/numpy/concepts/ndarray/terms/sum/sum.md b/content/numpy/concepts/ndarray/terms/sum/sum.md
new file mode 100644
index 00000000000..24ede288cc1
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/sum/sum.md
@@ -0,0 +1,99 @@
+---
+Title: '.sum()'
+Description: 'Returns the sum of array elements over a given axis.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.sum()`** method returns the sum of [array](https://www.codecademy.com/resources/docs/numpy/ndarray) elements over a given axis. It can compute the sum of all elements or along specific axes in multi-dimensional arrays.
+
+## Syntax
+
+```pseudo
+ndarray.sum(axis=None, dtype=None, out=None, keepdims=False, initial=0, where=True)
+```
+
+**Parameters:**
+
+- `axis` (int or tuple of ints, optional): Axis or axes along which to compute the sum. Default is `None`, which sums over all elements.
+- `dtype` (data-type, optional): Type of the returned array and of the accumulator. If not specified, defaults to the data type of the array.
+- `out` (ndarray, optional): Alternative output array to place the result.
+- `keepdims` (bool, optional): If `True`, keeps the reduced dimensions with size 1. Default is `False`.
+- `initial` (scalar, optional): Starting value for the sum. Default is 0.
+- `where` (array_like of bool, optional): Elements to include in the sum. Default is `True`.
+
+**Return value:**
+
+Returns an ndarray containing the sum of elements. If `axis` is `None`, returns a scalar. Otherwise, returns an array with reduced dimensions.
+
+## Example 1: Sum of All Elements
+
+In this example, the `.sum()` method calculates the total of all elements in the array:
+
+```py
+import numpy as np
+
+arr = np.array([[1, 2, 3], [4, 5, 6]])
+result = arr.sum()
+print(result)
+```
+
+The above code returns the following output:
+
+```shell
+21
+```
+
+## Example 2: Sum Along Specific Axis
+
+In this example, the `.sum()` method computes sums along specific axes, by columns (`axis=0`) and by rows (`axis=1`):
+
+```py
+import numpy as np
+
+arr = np.array([[1, 2, 3], [4, 5, 6]])
+# Sum along axis 0 (columns)
+col_sum = arr.sum(axis=0)
+print("Column sums:", col_sum)
+
+# Sum along axis 1 (rows)
+row_sum = arr.sum(axis=1)
+print("Row sums:", row_sum)
+```
+
+The above code returns the following output:
+
+```shell
+Column sums: [5 7 9]
+Row sums: [ 6 15]
+```
+
+Here, `axis=0` sums each column, and `axis=1` sums each row.
+
+## Codebyte Example: Using Initial Value and `where` Parameter
+
+In this example, the `.sum()` method demonstrates how to use an initial value for the sum and how to include elements using the `where` parameter:
+
+```codebyte/python
+import numpy as np
+
+arr = np.array([1, 2, 3, 4, 5])
+# Sum with initial value
+result1 = arr.sum(initial=10)
+print("Sum with initial value:", result1)
+
+# Conditional sum using where parameter
+mask = arr > 2
+result2 = arr.sum(where=mask)
+print("Conditional sum:", result2)
+```
+
+> **Note:** For integer arrays, large sums may overflow. Use `dtype=np.int64` or `float` for safe accumulation.

From 8129825ed2f61921ed0eb9ce9790c6acee008c09 Mon Sep 17 00:00:00 2001
From: NeemaJoju <neemajoju96@gmail.com>
Date: Fri, 31 Oct 2025 08:43:15 +0100
Subject: [PATCH 297/332] [Term Entry] Python matplotlib - pyplot: fill()

* Added file on fill

* Revise .fill() function documentation in fill.md

Updated the description and parameters for the .fill() function in Matplotlib. Added examples for filling a rectangle and custom polygon shapes.

* Make necessary changes

---------
---
 .../concepts/pyplot/terms/fill/fill.md        |  81 ++++++++++++++++++
 media/first-pyplot-fill.png                   | Bin 0 -> 10675 bytes
 media/second-pyplot-fill.png                  | Bin 0 -> 31033 bytes
 3 files changed, 81 insertions(+)
 create mode 100644 content/matplotlib/concepts/pyplot/terms/fill/fill.md
 create mode 100644 media/first-pyplot-fill.png
 create mode 100644 media/second-pyplot-fill.png

diff --git a/content/matplotlib/concepts/pyplot/terms/fill/fill.md b/content/matplotlib/concepts/pyplot/terms/fill/fill.md
new file mode 100644
index 00000000000..792efe5def4
--- /dev/null
+++ b/content/matplotlib/concepts/pyplot/terms/fill/fill.md
@@ -0,0 +1,81 @@
+---
+Title: '.fill()'
+Description: 'Fills the area enclosed by specified x and y coordinates to create a filled polygon on the plot.'
+Subjects:
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Graphs'
+  - 'Libraries'
+  - 'Matplotlib'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.fill()`** function in Matplotlib fills the area enclosed by specified x and y coordinates with color. It’s often used to highlight or emphasize regions defined by one or more polygons on a plot.
+
+## Syntax
+
+```pseudo
+matplotlib.pyplot.fill(*args, data=None, **kwargs)
+```
+
+**Parameters:**
+
+- `*args`: One or more pairs of x and y coordinates defining the polygons to fill.
+- `data`: An object (like a DataFrame or dict) that provides named variables for `x` and `y`.
+- `**kwargs`: Additional keyword arguments controlling the fill style, such as:
+  - `color` or `facecolor`: Fill color.
+  - `edgecolor`: Color of the polygon edge.
+  - `linewidth`: Width of polygon edges.
+  - `alpha`: Transparency level (0.0 to 1.0).
+  - Any other valid `Polygon` properties.
+
+**Return value:**
+
+Returns a list of `matplotlib.patches.Polygon` objects representing the filled regions.
+
+## Example 1: Filling a Rectangle Shape
+
+This example fills the area enclosed by a rectangle:
+
+```py
+import matplotlib.pyplot as plt
+
+x = [0, 3, 3, 0]
+y = [0, 0, 3, 3]
+
+plt.fill(x, y, color='green', alpha=0.75)
+plt.title('Filled Rectangle')
+plt.show()
+```
+
+The output of this code is:
+
+![Output of the first matplotlib.pyplot.fill() method example](https://raw.githubusercontent.com/Codecademy/docs/main/media/first-pyplot-fill.png)
+
+## Example 2: Filling Custom Polygon Shapes
+
+This example fills two different polygons using custom edge and fill colors:
+
+```py
+import matplotlib.pyplot as plt
+
+# Polygon 1
+a = [0, 1, 2, 1]
+b = [0, 2, 0, -2]
+plt.fill(a, b, color='skyblue', edgecolor='red', linewidth=2)
+
+# Polygon 2
+m = [0, 0, 3, 3]
+n = [0, 3, 0, 3]
+plt.fill(m, n, color='pink', alpha=0.6)
+
+plt.title('Custom Filled Polygons')
+plt.show()
+```
+
+The output of this code is:
+
+![Output of the second matplotlib.pyplot.fill() method example](https://raw.githubusercontent.com/Codecademy/docs/main/media/second-pyplot-fill.png)
diff --git a/media/first-pyplot-fill.png b/media/first-pyplot-fill.png
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From ac9e6387bc1dd4afdb4a3eba85a85ba3baa1c017 Mon Sep 17 00:00:00 2001
From: Priyanshjain10 <Priyanshj1304@gmail.com>
Date: Fri, 31 Oct 2025 14:32:22 +0530
Subject: [PATCH 298/332] docs: Add PyTorch .nan_to_num() tensor operation
 documentation (#7910)

* docs: Add PyTorch .nan_to_num() tensor operation documentation

Created comprehensive documentation entry for PyTorch's .nan_to_num() function including:

- Complete front matter with metadata (AI, Data Science, Machine Learning subjects)
- Clear definition explaining the function's purpose for handling NaN and infinity values
- Detailed syntax section with all parameters (input, nan, posinf, neginf, out)
- Three practical code examples:
  * Example 1: Replacing NaN values
  * Example 2: Replacing infinity values
  * Example 3: Handling mixed invalid values
- Usage notes for data preprocessing in machine learning
- Links to related tensor operation functions

This documentation follows Codecademy's term entry template and markdown style guide.

Fixes #7846
Submitted for Hacktoberfest 2025.

* Update nan-to-num.md with example descriptions

---------
---
 .../terms/nan-to-num/nan-to-num.md            | 104 ++++++++++++++++++
 1 file changed, 104 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/nan-to-num/nan-to-num.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/nan-to-num/nan-to-num.md b/content/pytorch/concepts/tensor-operations/terms/nan-to-num/nan-to-num.md
new file mode 100644
index 00000000000..409ad696e8a
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/nan-to-num/nan-to-num.md
@@ -0,0 +1,104 @@
+---
+Title: '.nan_to_num()'
+Description: 'Replaces NaN, positive infinity, and negative infinity values in a tensor with specified finite values.'
+Subjects:
+  - 'AI'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'PyTorch'
+  - 'Tensor Operations'
+CatalogContent:
+  - 'intro-to-pytorch'
+  - 'paths/data-science'
+---
+
+The **`.nan_to_num()`** function in PyTorch replaces `NaN` (Not a Number), positive infinity, and negative infinity values in a tensor with user-defined finite numbers. This is useful for handling invalid or extreme values in numerical computations.
+
+## Syntax
+
+```pseudo
+torch.nan_to_num(input, nan=0.0, posinf=None, neginf=None, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor to process.
+- `nan` (Number, optional): The value to replace `NaN` with. Default is `0.0`.
+- `posinf` (Number, optional): The value to replace positive infinity with. If `None`, positive infinities are replaced with the greatest finite value representable by the input's dtype. Default is `None`.
+- `neginf` (Number, optional): The value to replace negative infinity with. If `None`, negative infinities are replaced with the lowest finite value representable by the input's dtype. Default is `None`.
+- `out` (Tensor, optional): The output tensor to store the result. Default is `None`.
+
+**Return value:**
+
+A tensor with `NaN`, positive infinity, and negative infinity values replaced according to the specified parameters.
+
+## Example 1: Replacing `NaN` Values
+
+This example demonstrates how to clean a tensor that contains `NaN` values by replacing them with zeros, which is a common preprocessing step before mathematical operations:
+
+```py
+import torch
+
+# Create a tensor with NaN values
+x = torch.tensor([1.0, float('nan'), 3.0, float('nan'), 5.0])
+print("Original tensor:", x)
+
+# Replace NaN with 0.0
+result = torch.nan_to_num(x, nan=0.0)
+print("After nan_to_num:", result)
+```
+
+The output of this code is:
+
+```shell
+Original tensor: tensor([1., nan, 3., nan, 5.])
+After nan_to_num: tensor([1., 0., 3., 0., 5.])
+```
+
+## Example 2: Replacing Infinity Values
+
+This example shows how to replace both positive and negative infinity values with finite numbers to prevent overflow or undefined results in computations:
+
+```py
+import torch
+
+# Create a tensor with infinity values
+x = torch.tensor([1.0, float('inf'), -float('inf'), 4.0])
+print("Original tensor:", x)
+
+# Replace infinities with specific values
+result = torch.nan_to_num(x, nan=0.0, posinf=100.0, neginf=-100.0)
+print("After nan_to_num:", result)
+```
+
+The output of this code is:
+
+```shell
+Original tensor: tensor([1., inf, -inf, 4.])
+After nan_to_num: tensor([1., 100., -100., 4.])
+```
+
+## Example 3: Handling Mixed Invalid Values
+
+Here, the tensor contains a mix of `NaN`, positive infinity, and negative infinity. All invalid values are replaced in one pass, making the tensor safe for numerical operations like normalization or model input:
+
+```py
+import torch
+
+# Create a tensor with various invalid values
+x = torch.tensor([2.0, float('nan'), float('inf'), -float('inf'), 7.0])
+print("Original tensor:", x)
+
+# Replace all invalid values
+result = torch.nan_to_num(x, nan=-1.0, posinf=999.0, neginf=-999.0)
+print("After nan_to_num:", result)
+```
+
+The output of this code is:
+
+```shell
+Original tensor: tensor([2., nan, inf, -inf, 7.])
+After nan_to_num: tensor([2., -1., 999., -999., 7.])
+```

From 4856de41c2f687b1a5a517694b600b9f51c342b3 Mon Sep 17 00:00:00 2001
From: Google <53668973+GooglyBlox@users.noreply.github.com>
Date: Fri, 31 Oct 2025 02:06:09 -0700
Subject: [PATCH 299/332] [Term Entry] PyTorch Tensor Operations: .neg()
 (#7902)

* docs(pytorch): Add new entry for .neg()

* Update neg.md with content fixes

* Update neg.md

---------
---
 .../tensor-operations/terms/neg/neg.md        | 87 +++++++++++++++++++
 1 file changed, 87 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/neg/neg.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/neg/neg.md b/content/pytorch/concepts/tensor-operations/terms/neg/neg.md
new file mode 100644
index 00000000000..1d07a3cb18d
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/neg/neg.md
@@ -0,0 +1,87 @@
+---
+Title: '.neg()'
+Description: 'Returns a new tensor with the negative of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Deep Learning'
+  - 'Methods'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.neg()`** method in PyTorch returns a new [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) with the negative of each element in the input tensor. This operation multiplies each element by -1, effectively flipping the sign of all values. The method is commonly used in mathematical operations, gradient computations, and transformations in neural networks.
+
+## Syntax
+
+```pseudo
+torch.neg(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor.
+- `out` (Tensor, optional): The output tensor to store the result. Must have the same shape as `input`.
+
+**Return value:**
+
+Returns a new tensor where each element is the negative of the corresponding element in `input`.
+
+## Example
+
+The following example demonstrates how to use the `.neg()` method to negate tensor elements:
+
+```py
+import torch
+
+# Create a tensor with positive and negative values
+tensor = torch.tensor([1.5, -2.3, 0.0, 4.8, -1.2])
+
+# Compute the negative using the method form
+neg_tensor = tensor.neg()
+
+# Alternative: use the functional form
+neg_functional = torch.neg(tensor)
+
+# Alternative: use the operator form
+neg_operator = -tensor
+
+print("Original Tensor:")
+print(tensor)
+
+print("\nNegated Tensor (using .neg()):")
+print(neg_tensor)
+
+print("\nNegated Tensor (using torch.neg()):")
+print(neg_functional)
+
+print("\nNegated Tensor (using - operator):")
+print(neg_operator)
+```
+
+This example results in the following output:
+
+```shell
+Original Tensor:
+tensor([ 1.5000, -2.3000,  0.0000,  4.8000, -1.2000])
+
+Negated Tensor (using .neg()):
+tensor([-1.5000,  2.3000, -0.0000, -4.8000,  1.2000])
+
+Negated Tensor (using torch.neg()):
+tensor([-1.5000,  2.3000, -0.0000, -4.8000,  1.2000])
+
+Negated Tensor (using - operator):
+tensor([-1.5000,  2.3000, -0.0000, -4.8000,  1.2000])
+```
+
+In this example:
+
+- Positive values become negative: `1.5` → `-1.5`, `4.8` → `-4.8`
+- Negative values become positive: `-2.3` → `2.3`, `-1.2` → `1.2`
+- Zero remains zero: `0.0` → `-0.0` (negative zero in floating-point)
+- All three forms (`.neg()`, `torch.neg()`, and `-`) produce identical results

From 2accad53ce72f303528d056ec83f72aaad0ace9a Mon Sep 17 00:00:00 2001
From: Priyanshjain10 <Priyanshj1304@gmail.com>
Date: Fri, 31 Oct 2025 14:39:05 +0530
Subject: [PATCH 300/332] docs: Add PyTorch .polygamma() tensor operation
 documentation (#7906)

* docs: Add PyTorch .polygamma() tensor operation documentation

Created comprehensive documentation entry for PyTorch's .polygamma() tensor operation function including:

- Complete front matter with metadata (subjects, tags, catalog content)
- Clear definition explaining the polygamma function
- Detailed syntax section with parameter descriptions
- Three practical code examples:
  * Digamma function (n=0)
  * Trigamma function (n=1)
  * Higher order polygamma (n=2)
- Usage notes for statistical applications
- Links to related tensor operation functions

This documentation follows Codecademy's term entry template and markdown style guide.

Fixes #7849
Submitted for Hacktoberfest 2025.

* Update polygamma.md

* Update polygamma.md

* Update polygamma.md

* Update polygamma.md

---------
---
 .../terms/polygamma/polygamma.md              | 94 +++++++++++++++++++
 1 file changed, 94 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/polygamma/polygamma.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/polygamma/polygamma.md b/content/pytorch/concepts/tensor-operations/terms/polygamma/polygamma.md
new file mode 100644
index 00000000000..3c80fbc122e
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/polygamma/polygamma.md
@@ -0,0 +1,94 @@
+---
+Title: '.polygamma()'
+Description: 'Computes the n-th derivative of the digamma function for each element in the input tensor.'
+Subjects:
+  - 'AI'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'PyTorch'
+  - 'Tensor Operations'
+CatalogContent:
+  - 'intro-to-pytorch'
+  - 'paths/data-science'
+---
+
+The **`.polygamma()`** function in PyTorch computes the polygamma function of input tensors element-wise. The polygamma function is the n-th derivative of the [digamma function](https://www.codecademy.com/resources/docs/pytorch/tensor-operations/digamma), where `n` is a non-negative integer.
+
+## Syntax
+
+```pseudo
+torch.polygamma(n, input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `n` (int): The order of the polygamma function. When `n=0`, this is the digamma function; when `n=1`, this is the trigamma function.
+- `input` (Tensor): The input tensor containing values for which to compute the polygamma function.
+- `out` (Tensor, optional): The output tensor to store the result. Default is `None`.
+
+**Return value:**
+
+A tensor containing the computed polygamma values with the same shape as `input`.
+
+## Example 1: Digamma Function (n=0)
+
+In this example, `.polygamma()` is used with `n=0` to compute the digamma function (first derivative of the log-gamma function):
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([1.0, 2.0, 3.0, 4.0])
+
+# Compute digamma (polygamma with n=0)
+digamma_values = torch.polygamma(0, x)
+print(digamma_values)
+```
+
+The output of this code is:
+
+```shell
+tensor([-0.5772, 0.4228, 0.9228, 1.2561])
+```
+
+## Example 2: Trigamma Function (n=1)
+
+In this example, `.polygamma()` is used with `n=1` to compute the trigamma function (second derivative of the log-gamma function):
+
+```py
+import torch
+
+# Create input tensor
+x = torch.tensor([1.0, 2.0, 3.0])
+
+# Compute trigamma (polygamma with n=1)
+trigamma_values = torch.polygamma(1, x)
+print(trigamma_values)
+```
+
+The output of this code is:
+
+```shell
+tensor([1.6449, 0.6449, 0.3949])
+```
+
+## Example 3: Higher Order Polygamma
+
+In this example, `.polygamma()` is used with `n=2` to compute the second-order polygamma function (derivative of the trigamma function):
+
+```py
+import torch
+
+# Compute polygamma of order 2
+x = torch.tensor([2.0, 3.0, 4.0])
+polygamma_2 = torch.polygamma(2, x)
+print(polygamma_2)
+```
+
+The output of this code is:
+
+```shell
+tensor([-0.8224, -0.3540, -0.2164])
+```

From c22131f108fb7dcfae1316127e1fa5e8d1689473 Mon Sep 17 00:00:00 2001
From: Priyanshjain10 <Priyanshj1304@gmail.com>
Date: Fri, 31 Oct 2025 14:41:49 +0530
Subject: [PATCH 301/332] docs: Add NumPy ndarray .argmax() method
 documentation (#7911)

* docs: Add NumPy ndarray .argmax() method documentation

Created comprehensive NumPy ndarray .argmax() method documentation including:

- Complete front matter with Data Science subjects and tags
- Clear definition and syntax
- Detailed parameters (axis, out) and return values
- Three practical code examples with outputs
- Codebyte interactive example with student scores

Fixes #7859
Submitted for Hacktoberfest 2025.

* Update argmax.md

---------
---
 .../concepts/ndarray/terms/argmax/argmax.md   | 137 ++++++++++++++++++
 1 file changed, 137 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/argmax/argmax.md

diff --git a/content/numpy/concepts/ndarray/terms/argmax/argmax.md b/content/numpy/concepts/ndarray/terms/argmax/argmax.md
new file mode 100644
index 00000000000..3f61e083596
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/argmax/argmax.md
@@ -0,0 +1,137 @@
+---
+Title: '.argmax()'
+Description: 'Returns the indices of the maximum values along a specified axis.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.argmax()`** method returns the indices of the maximum values along a specified axis in a NumPy ndarray.
+
+## Syntax
+
+```pseudo
+ndarray.argmax(axis=None, out=None, *, keepdims=False)
+```
+
+**Parameters:**
+
+- `axis` (int, optional): Axis along which to find the maximum value; flattens the array if `None`.
+- `out` (ndarray, optional): Output array to store the result; must match the expected shape.
+- `keepdims` (bool, optional): If `True`, retains reduced dimensions with size 1.
+
+**Return value:**
+
+Returns an integer or ndarray of integers indicating the indices of the maximum values.
+
+## Example 1: Finding Maximum Index in 1D Array
+
+In this example, the `.argmax()` method returns the index of the maximum value in a one-dimensional array:
+
+```py
+import numpy as np
+
+arr = np.array([3, 1, 4, 1, 5, 9, 2])
+max_index = arr.argmax()
+
+print("Array:", arr)
+print("Index of maximum value:", max_index)
+print("Maximum value:", arr[max_index])
+```
+
+The output of this code is:
+
+```shell
+Array: [3 1 4 1 5 9 2]
+Index of maximum value: 5
+Maximum value: 9
+```
+
+## Example 2: Finding Maximum Indices Along Axis in 2D Array
+
+In this example, the `.argmax()` method finds the indices of maximum values along each axis in a two-dimensional array:
+
+```py
+import numpy as np
+
+matrix = np.array([[1, 5, 3],
+                   [9, 2, 8],
+                   [4, 7, 6]])
+
+# Maximum index along axis 0 (columns)
+max_col = matrix.argmax(axis=0)
+
+# Maximum index along axis 1 (rows)
+max_row = matrix.argmax(axis=1)
+
+print("Matrix:")
+print(matrix)
+print("\nMax indices along axis 0 (columns):", max_col)
+print("Max indices along axis 1 (rows):", max_row)
+```
+
+The output of this code is:
+
+```shell
+Matrix:
+[[1 5 3]
+ [9 2 8]
+ [4 7 6]]
+
+Max indices along axis 0 (columns): [1 2 1]
+Max indices along axis 1 (rows): [1 0 1]
+```
+
+## Example 3: Flattened Array Maximum
+
+In this example, the `.argmax()` method returns the index of the maximum element from the flattened version of the array:
+
+```py
+import numpy as np
+
+matrix = np.array([[10, 25, 15],
+                   [30, 20, 35]])
+
+# Find index in flattened array
+flat_max_index = matrix.argmax()
+
+print("Matrix:", matrix)
+print("Index of maximum in flattened array:", flat_max_index)
+print("Maximum value:", matrix.flat[flat_max_index])
+```
+
+The output of this code is:
+
+```shell
+Matrix: [[10 25 15]
+ [30 20 35]]
+Index of maximum in flattened array: 5
+Maximum value: 35
+```
+
+## Codebyte Example
+
+In this example, the `.argmax()` method identifies the student with the highest score using their index position:
+
+```codebyte/python
+import numpy as np
+
+# Create sample data
+scores = np.array([85, 92, 78, 95, 88])
+students = ['Alice', 'Bob', 'Carol', 'David', 'Eve']
+
+# Find the student with highest score
+top_student_index = scores.argmax()
+
+print(f"Scores: {scores}")
+print(f"Highest score index: {top_student_index}")
+print(f"Top student: {students[top_student_index]}")
+print(f"Score: {scores[top_student_index]}")
+```

From 1f5c17cd3a9c50feb56f08b4717276a8c9ace471 Mon Sep 17 00:00:00 2001
From: Hyperhelium <78576246+Hyperhelium@users.noreply.github.com>
Date: Fri, 31 Oct 2025 03:16:49 -0600
Subject: [PATCH 302/332]  Added missing hyperlinks for Matplotlib, TensorFlow
 and Scikit-Learn in the Data Science docs page. (#7706)

* Update data-science.md

Updated the hyperlink for matplotlib to the codecademy docs official page

* Update data-science.md

added the correct hyperlinks to TensorFlow and Scikit-Learn

* Update data-science.md

* Update data-science.md

---------
---
 content/data-science/data-science.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/content/data-science/data-science.md b/content/data-science/data-science.md
index 1d75663fbeb..8848e565eba 100644
--- a/content/data-science/data-science.md
+++ b/content/data-science/data-science.md
@@ -31,10 +31,10 @@ Since the beginning of the 21st century, data science has been used in almost ev
 ## Languages and Tools
 
 - [Python](https://www.codecademy.com/resources/docs/python)
-  - Matplotlib
+  - [Matplotlib](https://www.codecademy.com/resources/docs/matplotlib)
   - [Pandas](https://www.codecademy.com/resources/docs/pandas)
-  - Scikit-learn
-  - TensorFlow
+  - [Scikit-learn](https://www.codecademy.com/article/scikit-learn-tutorial)
+  - [TensorFlow](https://www.codecademy.com/resources/docs/tensorflow)
   - NLTK
 - [R](https://www.codecademy.com/resources/docs/r) (ggplot2)
 - [JSON](https://www.codecademy.com/resources/docs/general/json)

From c6f8a748f95b85ec3331026687039b4d66c4c08c Mon Sep 17 00:00:00 2001
From: Luis Diego Monzon Montufar
 <80731862+luismonzonm@users.noreply.github.com>
Date: Fri, 31 Oct 2025 03:29:27 -0600
Subject: [PATCH 303/332] [Term Entry] PyTorch Tensor Operations:  .hypot()
 (#7807)

* created hypot directory and md file

* created first edition of hypot.md awaiting revission

* Revise .hypot() documentation for clarity and accuracy

Updated the description and examples for the .hypot() function in PyTorch documentation.

* Apply suggestion from @avdhoottt

* Lint + Format

* Lint Issue

---------
---
 .../tensor-operations/terms/hypot/hypot.md    | 98 +++++++++++++++++++
 1 file changed, 98 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/hypot/hypot.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/hypot/hypot.md b/content/pytorch/concepts/tensor-operations/terms/hypot/hypot.md
new file mode 100644
index 00000000000..5ed9a7e9f0c
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/hypot/hypot.md
@@ -0,0 +1,98 @@
+---
+Title: '.hypot()'
+Description: 'Calculates the hypotenuse of a right triangle given the lengths of its two legs.'
+Subjects:
+  - 'AI'
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'AI'
+  - 'Functions'
+  - 'Pytorch'
+  - 'Trigonometry'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`torch.hypot`** function in PyTorch calculates the hypotenuse of right triangles, given the lengths of the two legs.
+
+Element-wise, `torch.hypot()` computes:
+
+$$
+\text{out}_i = \sqrt{(\text{input}_i)^2 + (\text{other}_i)^2}
+$$
+
+## Syntax
+
+```pseudo
+torch.hypot(input, other, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The first input tensor.
+- `other`: The second input tensor. This must be broadcastable with `input`.
+- `out` (Optional): The output tensor to store the result.
+
+**Return value:**
+
+Returns a tensor containing the element-wise Euclidean norm: $\sqrt{(\text{input}_i)^2 + (\text{other}_i)^2}$.
+
+## Example 1: Basic Element-Wise Hypotenuse
+
+In this example, `torch.hypot()` calculates the hypotenuse for corresponding elements of two 1D tensors:
+
+```py
+import torch
+
+# Create input tensors
+x = torch.tensor ([3.0, 5.0, 8.0])
+y = torch.tensor ([4.0, 12.0, 15.0])
+
+# Perform element-wise operation
+hypotenuse = torch.hypot(x, y)
+
+# Print the result
+print(hypotenuse)
+```
+
+This code would output the following:
+
+```shell
+tensor([5., 13., 17.])
+```
+
+## Example 2L 2D Distance Between Points
+
+In this example, `torch.hypot()` calculates the distance from the origin for 2D points stored as x, y coordinates:
+
+```py
+import torch
+
+# For the following array:
+points = torch.tensor([
+    [3.0, 4.0],
+    [5.0, 12.0],
+    [8.0, 15.0],
+])
+
+# Split into x and y columns:
+x = points[:, 0]
+y = points[:, 1]
+
+distances = torch.hypot(x, y)
+print(distances)
+```
+
+This will output:
+
+```shell
+tensor([ 5., 13., 17. ])
+```
+
+This example organizes the `6 x 1` tensor into `x, y` pairs, and calculates each one individually:
+
+- $\sqrt{3^2 + 4^2} = \sqrt{9 + 16} = \sqrt {25} = 5$
+- $\sqrt{5^2 + 12^2} = \sqrt{25 + 144} = \sqrt {169} = 13$
+- $\sqrt{8^2 + 15^2} = \sqrt{64 + 225} = \sqrt {289} = 17$

From a86f98bc5f855f5271c5cfef0b7f5f366a67bb2e Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 31 Oct 2025 15:02:23 +0530
Subject: [PATCH 304/332] [Term Entry] PyTorch Tensor Operations: .frac() #7502
 (#7674)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] PyTorch Tensor Operations: .frac()

* Apply suggestion from @avdhoottt

---------
---
 .../tensor-operations/terms/frac/frac.md      | 114 ++++++++++++++++++
 1 file changed, 114 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/frac/frac.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/frac/frac.md b/content/pytorch/concepts/tensor-operations/terms/frac/frac.md
new file mode 100644
index 00000000000..f381f826998
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/frac/frac.md
@@ -0,0 +1,114 @@
+---
+Title: 'frac()'
+Description: 'Returns the fractional part of each element in a PyTorch tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Methods'
+  - 'Tensor'
+CatalogContent:
+  - 'learn-pytorch'
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'learn-python-3'
+---
+
+In PyTorch, the **`torch.frac()`** function returns the **fractional part** of each element in a tensor. It removes the integer component and keeps only the decimal part. The fractional part preserves the sign of the original number, so negative values will have negative fractional parts.
+
+Mathematically, for each element `x` in the tensor:
+
+$$
+\text{out}_i = \text{input}_i - \lfloor | \text{input}_i | \rfloor \cdot \text{sgn}(\text{input}_i)
+$$
+
+## Syntax
+
+```pseudo
+torch.frac(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input`: The input tensor.
+- `out` (optional): Output tensor to store the result.
+
+**Return value:**
+
+A tensor of the same shape as the input, containing only the fractional parts of the elements.
+
+## Example 1: Fractional Part of a 1D Tensor
+
+This example shows how to extract fractional parts from a 1D tensor with positive and negative values:
+
+```py
+import torch
+
+x = torch.tensor([1.5, -2.7, 3.0, -4.9])
+result = torch.frac(x)
+print(result)
+```
+
+This example results in the following output:
+
+```shell
+tensor([ 0.5000, -0.7000,  0.0000, -0.9000])
+```
+
+## Example 2: Fractional Part of a 2D Tensor
+
+This example demonstrates computing fractional parts for elements in a 2D tensor (matrix):
+
+```py
+import torch
+
+x = torch.tensor([[2.3, -3.8],
+                  [4.0, -5.1]])
+print(torch.frac(x))
+```
+
+This example results in the following output:
+
+```shell
+tensor([[ 0.3000, -0.8000],
+        [ 0.0000, -0.1000]])
+```
+
+## Example 3: Using `out` Parameter
+
+This example shows how to use the `out` parameter to store results directly in a preallocated tensor:
+
+```py
+import torch
+
+x = torch.tensor([6.25, -7.75, 0.0])
+out_tensor = torch.empty_like(x)
+torch.frac(x, out=out_tensor)
+print(out_tensor)
+```
+
+This example results in the following output:
+
+```shell
+tensor([ 0.2500, -0.7500,  0.0000])
+```
+
+## Frequently Asked Questions
+
+### 1. What does `.frac()` do in PyTorch?
+
+The `torch.frac()` function extracts the fractional (decimal) part of each element in a tensor while removing the integer part.
+
+### 2. Does `.frac()` always return positive values?
+
+No. The fractional part preserves the sign of the original number. For example:
+
+```py
+import torch
+print(torch.frac(torch.tensor([-2.7])))  # tensor(-0.7000)
+```
+
+### 3. When would you use `.frac()`?
+
+- To isolate decimal values in data preprocessing.
+- For scientific computing when the fractional part of values is relevant.
+- In testing and numerical analysis to study non-integer behavior of data.

From 7e27ff3c033f92826de895daf375a2e1fe22a1b6 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 31 Oct 2025 15:11:15 +0530
Subject: [PATCH 305/332] [Term Entry] PyTorch Tensor Operations: .gradient()
 (#7673)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] PyTorch Tensor Operations: .gradient()

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../terms/gradient/gradient.md                | 171 ++++++++++++++++++
 1 file changed, 171 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/gradient/gradient.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/gradient/gradient.md b/content/pytorch/concepts/tensor-operations/terms/gradient/gradient.md
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index 00000000000..4c8a8f5ac24
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/gradient/gradient.md
@@ -0,0 +1,171 @@
+---
+Title: 'gradient()'
+Description: 'Numerically estimates the gradient of a multi-dimensional function represented by a PyTorch tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Methods'
+  - 'Tensor'
+CatalogContent:
+  - 'learn-pytorch'
+  - 'intro-to-py-torch-and-neural-networks'
+---
+
+In PyTorch, the **`torch.gradient()`** function estimates the gradient of a multi-dimensional function represented by a tensor. Unlike automatic differentiation methods such as `.backward()` and `tensor.grad` that compute exact gradients of a scalar function in a computational graph, `torch.gradient()` uses numerical methods (like central differences) to approximate the partial derivatives along each dimension of the input tensor.
+
+This makes it useful for analyzing sampled data directly, independent of PyTorch’s autograd system.
+
+## Syntax
+
+```pseudo
+torch.gradient(input, *, spacing=None, dim=None, edge_order=1)
+```
+
+**Parameters:**
+
+- `input`: The input tensor representing sampled values of a function.
+- `spacing` (optional): Defines the sample spacing. Can be:
+  - A scalar (uniform spacing across all dimensions),
+  - A list of scalars (per dimension),
+  - A list of 1D tensors (explicit coordinate values). Defaults to 1.
+- `dim` (optional): The dimension(s) along which to compute the gradient. If `None`, gradients are computed along all dimensions.
+- `edge_order` (optional): Controls the accuracy at the boundaries. 1 (default) uses first-order differences, 2 uses second-order differences.
+
+**Return value:**
+
+A tuple of tensors, where each tensor represents the gradient of the input along a specific dimension.
+
+## Example 1: Gradient of a 2D Tensor
+
+This example estimates gradients of a 2D tensor that represents samples of a function:
+
+```py
+import torch
+
+# Create a 2D tensor
+data = torch.tensor([[1.0, 2.0, 3.0],
+                     [4.0, 5.0, 6.0],
+                     [7.0, 8.0, 9.0]])
+
+# Compute gradients along both dimensions
+gradients = torch.gradient(data)
+
+print("Gradient along rows:\n", gradients[0])
+print("Gradient along columns:\n", gradients[1])
+```
+
+This example results in the following output:
+
+```shell
+Gradient along rows:
+tensor([[3., 3., 3.],
+        [3., 3., 3.],
+        [3., 3., 3.]])
+
+Gradient along columns:
+tensor([[1., 1., 1.],
+        [1., 1., 1.],
+        [1., 1., 1.]])
+```
+
+## Example 2: Using Spacing
+
+The following code example shows how to specify custom spacing when computing gradients:
+
+```py
+import torch
+
+# Function samples along a 1D axis
+x = torch.tensor([0.0, 0.5, 1.0, 1.5])
+y = torch.tensor([0.0, 0.25, 1.0, 2.25])  # y = x^2
+
+# Compute gradient with spacing
+grad = torch.gradient(y, spacing=(0.5,))
+print(grad[0])  # Approximates derivative dy/dx ≈ 2x
+```
+
+This example results in the following output:
+
+```shell
+tensor([0.5000, 1.0000, 2.0000, 2.5000])
+```
+
+## Example 3: Multi-Dimensional Gradient
+
+The following code computes partial derivatives across each of the three dimensions of the tensor:
+
+```py
+import torch
+
+# Create a 3D tensor
+data = torch.arange(27.0).reshape(3, 3, 3)
+
+# Compute gradients along all dimensions
+gradients = torch.gradient(data)
+
+print("Gradient along dim 0:\n", gradients[0])
+print("Gradient along dim 1:\n", gradients[1])
+print("Gradient along dim 2:\n", gradients[2])
+```
+
+The output of this code is:
+
+```shell
+Gradient along dim 0:
+tensor([[[9., 9., 9.],
+         [9., 9., 9.],
+         [9., 9., 9.]],
+
+        [[9., 9., 9.],
+         [9., 9., 9.],
+         [9., 9., 9.]],
+
+        [[9., 9., 9.],
+         [9., 9., 9.],
+         [9., 9., 9.]]])
+
+Gradient along dim 1:
+tensor([[[3., 3., 3.],
+         [3., 3., 3.],
+         [3., 3., 3.]],
+
+        [[3., 3., 3.],
+         [3., 3., 3.],
+         [3., 3., 3.]],
+
+        [[3., 3., 3.],
+         [3., 3., 3.],
+         [3., 3., 3.]]])
+
+Gradient along dim 2:
+tensor([[[1., 1., 1.],
+         [1., 1., 1.],
+         [1., 1., 1.]],
+
+        [[1., 1., 1.],
+         [1., 1., 1.],
+         [1., 1., 1.]],
+
+        [[1., 1., 1.],
+         [1., 1., 1.],
+         [1., 1., 1.]]])
+```
+
+## Frequently Asked Questions
+
+### 1. What is the gradient in PyTorch tensor?
+
+In PyTorch, a gradient represents the rate of change of a tensor with respect to its inputs. With `torch.gradient()`, the gradient is numerically estimated from sampled values of a function stored in a tensor, giving the partial derivatives along each dimension.
+
+### 2. What is a gradient in a tensor?
+
+The gradient in a tensor context refers to how the values inside the tensor change across its dimensions. For example, in a 2D tensor representing a surface, the gradient describes the slope in the row direction and the slope in the column direction.
+
+### 3. What is a gradient used for?
+
+Gradients are used to analyze how a function changes with respect to its inputs. In PyTorch, they are fundamental for:
+
+- **Optimization and training models** (via `.backward()` and `tensor.grad`).
+- **Numerical analysis** (via `torch.gradient()` for sampled data).
+- **Physics, simulations, and scientific computing** to approximate derivatives of multidimensional functions.

From a0d8f20c2537a4699eb5fcef22f0e6063f49d5c9 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 31 Oct 2025 15:16:32 +0530
Subject: [PATCH 306/332] [Term Entry] CSS Transform function: scale3d(x, y, z)
 (#7672)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Term Entry] CSS Transform function: scale3d(x, y, z)

* Add files via upload

* Apply suggestion from @avdhoottt

---------
---
 .../terms/scale3d/scale3d.md                  | 206 ++++++++++++++++++
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 media/scale2.gif                              | Bin 0 -> 420060 bytes
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diff --git a/content/css/concepts/transform-functions/terms/scale3d/scale3d.md b/content/css/concepts/transform-functions/terms/scale3d/scale3d.md
new file mode 100644
index 00000000000..89d92b79e76
--- /dev/null
+++ b/content/css/concepts/transform-functions/terms/scale3d/scale3d.md
@@ -0,0 +1,206 @@
+---
+Title: 'scale3d()'
+Description: 'Resizes an element in three-dimensional space by scaling along the x-axis, y-axis, and z-axis independently.'
+Subjects:
+  - 'Web Development'
+  - 'Web Design'
+Tags:
+  - 'CSS'
+  - 'Functions'
+  - 'Style'
+  - 'Transform'
+CatalogContent:
+  - 'learn-css'
+  - 'paths/front-end-engineer-career-path'
+---
+
+## Introduction
+
+The **`scale3d()`** function is a CSS transform function that resizes an element in three-dimensional space. It scales elements along the x-axis (horizontal), y-axis (vertical), and z-axis (depth), allowing for independent control of each dimension to create 3D scaling effects.
+
+## Syntax
+
+```pseudo
+transform: scale3d(sx, sy, sz);
+```
+
+**Parameters:**
+
+- `sx`: A number representing the scaling factor for the x-axis (horizontal dimension). Values greater than 1 enlarge the element, values between 0 and 1 shrink it, and negative values flip it horizontally.
+- `sy`: A number representing the scaling factor for the y-axis (vertical dimension). Values greater than 1 enlarge the element, values between 0 and 1 shrink it, and negative values flip it vertically.
+- `sz`: A number representing the scaling factor for the z-axis (depth dimension). This parameter affects the element's depth in 3D space. Note that `sz` only accepts number values, not percentages.
+
+**Return value:**
+
+The `scale3d()` function returns a `<transform-function>` data type that can be applied to the `transform` property.
+
+> **Note:** The `scale3d()` function must be used with other 3D transform properties like `perspective()` to create visible 3D effects.
+
+## Example 1: Basic 3D Scaling
+
+This example demonstrates basic usage of the `scale3d()` function to scale an element uniformly in all three dimensions.
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <title>Basic scale3d() Example</title>
+    <style>
+      body {
+        display: flex;
+        justify-content: center;
+        align-items: center;
+        height: 100vh;
+        perspective: 600px;
+      }
+
+      .box {
+        width: 100px;
+        height: 100px;
+        background-color: coral;
+        /* Scale the box 1.5 times in all three dimensions */
+        transform: scale3d(1.5, 1.5, 1.5);
+      }
+    </style>
+  </head>
+  <body>
+    <div class="box"></div>
+  </body>
+</html>
+```
+
+This example results in the following output:
+
+![A coral-colored box that is scaled 1.5 times larger in all three dimensions, appearing 50% larger than its original size.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scale1.png)
+
+## Example 2: Creating a Card Hover Effect
+
+This example shows how to use `scale3d()` to create an interactive card that scales when hovered, simulating a 3D pop-out effect.
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <title>Card Hover Effect</title>
+    <style>
+      body {
+        display: flex;
+        justify-content: center;
+        align-items: center;
+        height: 100vh;
+        background-color: #f0f0f0;
+        perspective: 1000px;
+      }
+
+      .card {
+        width: 200px;
+        height: 250px;
+        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+        border-radius: 10px;
+        display: flex;
+        justify-content: center;
+        align-items: center;
+        color: white;
+        font-size: 24px;
+        font-weight: bold;
+        transition: transform 0.3s ease;
+        cursor: pointer;
+      }
+
+      /* Apply scale3d() on hover to create 3D pop-out effect */
+      .card:hover {
+        transform: scale3d(1.1, 1.1, 1.2);
+      }
+    </style>
+  </head>
+  <body>
+    <div class="card">Hover Me!</div>
+  </body>
+</html>
+```
+
+This example results in the following output:
+
+![A gradient-colored card with rounded corners that smoothly scales up when hovered over, creating an engaging 3D effect that appears to lift off the page.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scale2.gif)
+
+## Example 3: Image Gallery with Depth Effect
+
+This example demonstrates using `scale3d()` to create an image gallery where images scale with depth variation, creating a dynamic 3D gallery effect.
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <title>3D Image Gallery</title>
+    <style>
+      body {
+        display: flex;
+        justify-content: center;
+        align-items: center;
+        height: 100vh;
+        background-color: #2c3e50;
+        perspective: 800px;
+      }
+
+      .gallery {
+        display: flex;
+        gap: 20px;
+      }
+
+      .image-box {
+        width: 150px;
+        height: 150px;
+        background-color: #3498db;
+        border-radius: 8px;
+        display: flex;
+        justify-content: center;
+        align-items: center;
+        color: white;
+        font-size: 18px;
+        transition: transform 0.4s ease;
+      }
+
+      /* Scale with different z-axis values for depth */
+      .image-box:nth-child(1):hover {
+        transform: scale3d(1.2, 1.2, 1);
+      }
+
+      .image-box:nth-child(2):hover {
+        transform: scale3d(1.3, 1.3, 1.5);
+      }
+
+      .image-box:nth-child(3):hover {
+        transform: scale3d(1.15, 1.15, 2);
+      }
+    </style>
+  </head>
+  <body>
+    <div class="gallery">
+      <div class="image-box">Image 1</div>
+      <div class="image-box">Image 2</div>
+      <div class="image-box">Image 3</div>
+    </div>
+  </body>
+</html>
+```
+
+This example results in the following output:
+
+![Three blue boxes arranged horizontally that scale with different depth effects when hovered. Each box scales differently on the z-axis, creating varying levels of perceived depth and distance from the viewer.](https://raw.githubusercontent.com/Codecademy/docs/main/media/scale3.gif)
+
+## Frequently Asked Questions
+
+### 1. What is `scale3d()`?
+
+The `scale3d()` function is a CSS transform function that allows developers to resize HTML elements in three-dimensional space by specifying independent scaling factors for the x-axis, y-axis, and z-axis.
+
+### 2. What is transform 3D?
+
+Transform 3D refers to CSS transformations that manipulate elements in three-dimensional space using properties like `transform`, `perspective`, and functions such as `scale3d()`, `rotate3d()`, and `translate3d()`. These transformations enable depth perception and spatial positioning beyond the traditional two-dimensional plane.
+
+### 3. What is the z-scale in CSS?
+
+Z scale in CSS refers to the scaling factor applied along the z-axis, which represents depth in three-dimensional space. In the `scale3d()` function, the third parameter (sz) controls the z-axis scaling. While this affects the element's transformation matrix, visible effects typically require additional 3D context provided by properties like `perspective()` or nested 3D transforms.
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HcmV?d00001


From c524f350a0d1ba0ff0a7006664658ec5360666bf Mon Sep 17 00:00:00 2001
From: Rishabh Ranjan Singh <rishabhrsingh19@gmail.com>
Date: Fri, 31 Oct 2025 15:43:26 +0530
Subject: [PATCH 307/332] docs: Add Pandas GroupBy last() term entry (#7693)
 (#7919)

* docs: Add Pandas GroupBy last() term entry (#7693)

* removed bold for no definition use

* fixing issues

* useless white space

* Fixing the format error

* Update last.md

---------
---
 .../concepts/groupby/terms/last/last.md       | 97 +++++++++++++++++++
 1 file changed, 97 insertions(+)
 create mode 100644 content/pandas/concepts/groupby/terms/last/last.md

diff --git a/content/pandas/concepts/groupby/terms/last/last.md b/content/pandas/concepts/groupby/terms/last/last.md
new file mode 100644
index 00000000000..bc08b410a22
--- /dev/null
+++ b/content/pandas/concepts/groupby/terms/last/last.md
@@ -0,0 +1,97 @@
+---
+Title: '.last()'
+Description: 'Returns the last value in each group of a Pandas Series or DataFrame.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'DataFrame'
+  - 'Pandas'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.last()`** method is an aggregation function used on a `GroupBy` object in Pandas. It returns the last non-null value in each section of the grouped data. This method is particularly useful for time-series data or sequentially ordered data where the final observation within a specific period or category is the most relevant.
+
+## Syntax
+
+The method is called directly on a `GroupBy` object.
+
+```pseudo
+grouped_data.last(numeric_only=False, min_count=-1)
+```
+
+**Parameters:**
+
+- `numeric_only` (bool): If `True`, only attempts to aggregate numeric columns.
+- `min_count` (int): The required number of valid (non-NA) values to include the result. If fewer than `min_count` non-NA values are present, the result will be `NaN`.
+
+**Return value:**
+
+Returns a Series or DataFrame containing the last non-null value for each group.
+
+## Example
+
+The following example demonstrates how to use `.last()` to find the final status of a task for each project:
+
+```py
+import pandas as pd
+
+# Create a DataFrame representing chronological task status updates
+data = {
+  'project_id': ['A', 'B', 'A', 'C', 'B', 'C', 'A'],
+  'status_date': pd.to_datetime(['2025-01-01', '2025-01-05', '2025-01-10', '2025-01-15', '2025-01-20', '2025-01-25', '2025-01-30']),
+  'task_status': ['Start', 'Pending', 'In Progress', 'Start', 'Completed', 'In Progress', 'Completed']
+}
+df = pd.DataFrame(data).set_index('status_date').sort_index()
+
+print("Original Data:\n", df)
+
+# Group by project_id and find the last status (chronologically) for each project
+last_status = df.groupby('project_id').last()
+
+print("\nLast Status by Project:\n", last_status)
+```
+
+The above code returns the following output:
+
+```shell
+Original Data:
+                   project_id  task_status
+status_date
+2025-01-01                   A        Start
+2025-01-05                   B      Pending
+2025-01-10                   A  In Progress
+2025-01-15                   C        Start
+2025-01-20                   B    Completed
+2025-01-25                   C  In Progress
+2025-01-30                   A    Completed
+
+Last Status by Project:
+              task_status
+project_id
+A              Completed
+B              Completed
+C          In Progress
+```
+
+## Codebyte Example
+
+This codebyte example groups data by category and returns the last recorded value from each group:
+
+```codebyte/python
+import pandas as pd
+
+# Data from a tracking system
+data = {
+  'category': ['Alpha', 'Beta', 'Alpha', 'Beta', 'Alpha'],
+  'score': [10, 5, 12, 8, 15]
+}
+df = pd.DataFrame(data)
+
+# Group by category and find the last recorded score
+last_scores = df.groupby('category').last()
+
+print("Scores by Category:\n", last_scores)
+```

From 3a06183323122535ee59946c991661951939fadd Mon Sep 17 00:00:00 2001
From: Aaravthk <86779841+Aaravthk@users.noreply.github.com>
Date: Fri, 31 Oct 2025 15:53:11 +0530
Subject: [PATCH 308/332] Added take.md for ndarray in numpy (#7917)

* Added pop.md

* Added extend.md

* minor changes

* Removed pop.md

* Minor changes

* Updated take.md

* Fixing issues

* Fixing link and format errors

* Update take.md

---------
---
 .../numpy/concepts/ndarray/terms/take/take.md | 100 ++++++++++++++++++
 1 file changed, 100 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/take/take.md

diff --git a/content/numpy/concepts/ndarray/terms/take/take.md b/content/numpy/concepts/ndarray/terms/take/take.md
new file mode 100644
index 00000000000..b3f1ca16f54
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/take/take.md
@@ -0,0 +1,100 @@
+---
+Title: 'take()'
+Description: 'Returns elements from an array at specific indices.'
+Subjects:
+  - 'Code Foundations'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Methods'
+  - 'NumPy'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`take()`** method returns elements from an array at specified indices, similar to standard indexing but applicable across flattened or specified axes for more flexible element selection.
+
+## Syntax
+
+```pseudo
+ndarray.take(indices, axis=None, out=None, mode='raise')
+```
+
+**Parameters:**
+
+- `indices`: The 0-based indices of elements to extract.
+- `axis` (Optional): Specifies the axis to take the elements. If not specified, the operation is done over a flattened array.
+- `out` (Optional): An optional output array to store the selected elements. The shape and buffer length must match the expected output, but the type will be cast if necessary.
+- `mode` (Optional): Specifies how out-of-bounds indices are handled:
+  - `raise`: Raises an error (default).
+  - `wrap`: Wrap around to the valid range.
+  - `clip`: Clips to the valid range.
+
+**Return value:**
+
+Returns an array containing the selected elements, or a reference to `out` if specified.
+
+## Example
+
+This example demonstrates how to use the `take()` method to extract elements by index:
+
+```py
+import numpy as np
+
+arr = np.array([10, 20, 30, 40, 50])
+result = arr.take([0, 3, 4])
+print(result)
+```
+
+The output of this code is:
+
+```shell
+[10 40 50]
+```
+
+> **Note:** The `take()` method can only extract elements along a single axis and cannot select multi-dimensional index combinations in one call. For example:
+
+```py
+import numpy as np
+
+arr = np.array([[10, 20, 30],
+                [40, 50, 60],
+                [70, 80, 90]])
+
+# Invalid: cannot take (0,0) and (1,1) in one call
+arr.take([(0, 0), (1, 1)])  # Raises an error
+```
+
+The above will return an error.
+
+## Codebyte Example
+
+In this example, `ndarray.take()` is applied to a 2D array to extract rows, columns, and wrapped indices:
+
+```codebyte/python
+import numpy as np
+
+# Create a 2D NumPy array
+arr = np.array([[10, 20, 30],
+                [40, 50, 60],
+                [70, 80, 90]])
+print("Original array:")
+print(arr)
+
+# Take elements along the first axis (rows)
+row_elements = arr.take([0, 2], axis=0)
+print("\nElements from rows 0 and 2:")
+print(row_elements)
+
+# Take elements along the second axis (columns)
+col_elements = arr.take([1, 2], axis=1)
+print("\nElements from columns 1 and 2:")
+print(col_elements)
+
+# Take with wrap mode (handles out-of-bounds index)
+wrapped = arr.take([3, -1], mode='wrap')
+print("\nUsing 'wrap' mode with out-of-range indices:")
+print(wrapped)
+```

From 00dc5dfe2f512f2475daf81b3d9abc17bfb47442 Mon Sep 17 00:00:00 2001
From: Anshu Singh <42216529+Anshusinghh@users.noreply.github.com>
Date: Fri, 31 Oct 2025 16:14:29 +0530
Subject: [PATCH 309/332] [Concept Entry] JavaScript: Destructuring

* Added [Term Entry] Python keywords: await #7736

* minor fixes with the content

* Update await.md

* Update content/python/concepts/keywords/terms/await/await.md

* Update content/python/concepts/keywords/terms/await/await.md

* [Concept Entry] JavaScript: Destructuring #7759

* Revise destructuring.md for clarity and detail

Updated the description of destructuring to clarify its purpose and added more detailed explanations throughout the document.

* Minor changes

---------
---
 .../concepts/destructuring/destructuring.md   | 120 ++++++++++++++++++
 1 file changed, 120 insertions(+)
 create mode 100644 content/javascript/concepts/destructuring/destructuring.md

diff --git a/content/javascript/concepts/destructuring/destructuring.md b/content/javascript/concepts/destructuring/destructuring.md
new file mode 100644
index 00000000000..c7954d9d51e
--- /dev/null
+++ b/content/javascript/concepts/destructuring/destructuring.md
@@ -0,0 +1,120 @@
+---
+Title: 'Destructuring'
+Description: 'Destructuring in JavaScript extracts values from arrays or properties from objects and assigns them to variables in a single, concise statement.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arrays'
+  - 'Destructuring'
+  - 'JavaScript'
+  - 'Objects'
+CatalogContent:
+  - 'introduction-to-javascript'
+  - 'paths/front-end-engineer-career-path'
+---
+
+**Destructuring** in JavaScript extracts values from [arrays](https://www.codecademy.com/resources/docs/javascript/arrays) or properties from [objects](https://www.codecademy.com/resources/docs/javascript/objects) and assigns them to [variables](https://www.codecademy.com/resources/docs/javascript/variables) in a single, concise statement. It simplifies working with complex arrays and objects by reducing repetitive code.
+
+## Array Destructuring
+
+Array destructuring extracts values from arrays in order, assigning them to variables in a single statement:
+
+```js
+const colors = ['red', 'green', 'blue'];
+const [firstColor, secondColor, thirdColor] = colors;
+
+console.log(firstColor);
+console.log(secondColor);
+console.log(thirdColor);
+```
+
+The output for this is:
+
+```shell
+red
+green
+blue
+```
+
+Items that aren’t needed can also be skipped:
+
+```js
+const colors = ['red', 'green', 'blue'];
+const [primaryColor, , tertiaryColor] = colors;
+
+console.log(tertiaryColor); // Output: blue
+```
+
+## Object Destructuring
+
+Object destructuring extracts specific properties from an object using their key names:
+
+```js
+const car = { make: 'Toyota', model: 'Camry', year: 2021 };
+const { make, model } = car;
+
+console.log(make); // Output: Toyota
+console.log(model); // Output: Camry
+```
+
+The output for this code is:
+
+```shell
+Toyota
+Camry
+```
+
+Variables can also be renamed or assigned default values:
+
+```js
+const car = { make: 'Toyota', model: 'Camry', year: 2021 };
+const { model: carModel, color = 'white' } = car;
+
+console.log(carModel); // Output: Camry
+console.log(color); // Output: white
+```
+
+## Nested Destructuring
+
+Destructuring also supports nested structures for deeply nested objects or arrays:
+
+```js
+const user = {
+  id: 1,
+  info: { name: 'Alice', address: { city: 'Seattle', zip: 98101 } },
+};
+
+const {
+  info: {
+    name,
+    address: { city },
+  },
+} = user;
+
+console.log(name);
+console.log(city);
+```
+
+The output of this code is:
+
+```shell
+Alice
+Seattle
+```
+
+## Codebyte Example
+
+The following codebyte example uses nested destructuring to extract values directly from an object:
+
+```codebyte/javascript
+const user = {
+  name: 'John Doe',
+  hobbies: ['reading', 'cycling', 'coding'],
+  address: { city: 'New York', zip: 10001 }
+};
+
+const { name, hobbies: [firstHobby], address: { city } } = user;
+
+console.log(`${name} enjoys ${firstHobby} in ${city}.`);
+```

From 137ae981d27ace61d54a28cf1e1c5f787a7c603d Mon Sep 17 00:00:00 2001
From: AayushJB03 <145219884+AayushJB03@users.noreply.github.com>
Date: Fri, 31 Oct 2025 19:42:29 +0530
Subject: [PATCH 310/332] Add NumPy ndarray any() term entry (#7868) (#7916)

* Add NumPy ndarray any() term entry (#7868)

* minor fix

* Update any.md

* Update any.md

* fixed tag

* format fix

* Update any.md

---------
---
 .../numpy/concepts/ndarray/terms/any/any.md   | 98 +++++++++++++++++++
 1 file changed, 98 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/any/any.md

diff --git a/content/numpy/concepts/ndarray/terms/any/any.md b/content/numpy/concepts/ndarray/terms/any/any.md
new file mode 100644
index 00000000000..4e75ff8e292
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/any/any.md
@@ -0,0 +1,98 @@
+---
+Title: 'any()'
+Description: 'Returns True if any element of the array evaluates to True, otherwise it returns False.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Boolean'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`any()`** method of a NumPy [ndarray](https://www.codecademy.com/resources/docs/numpy/ndarray) returns `True` if at least one element in the array evaluates to `True`. It performs a logical OR operation across specified array elements. In a Boolean context, all non-zero numbers evaluate to `True`, while zero evaluates to `False`.
+
+## Syntax
+
+```pseudo
+array.any(axis=None, out=None, keepdims=False, where=True)
+```
+
+**Parameters**:
+
+- `axis` (Optional): Integer or tuple of integers specifying the axis or axes along which the logical OR operation is performed. The default `None` evaluates all elements in the array.
+- `out` (Optional): Output array to place the result. It must have the same shape as the expected output.
+- `keepdims` (Optional): If `True`, retains reduced axes as dimensions of size one in the result.
+- `where` (Optional): Array of booleans specifying which elements to include in the check.
+
+**Return value:**
+
+Returns a single boolean value or an ndarray of boolean values, depending on the `axis` parameter.
+
+## Example
+
+The following example demonstrates basic usage of the `any()` method with different array configurations:
+
+```py
+import numpy as np
+
+# 1D array with non-zero values
+arr1 = np.array([0, 1, 2, 3])
+print(arr1.any())
+
+# 1D array with all zeros
+arr2 = np.array([0, 0, 0])
+print(arr2.any())
+
+# 2D array with axis parameter
+arr3 = np.array([[1, 0, 0], [0, 0, 1], [0, 0, 0]])
+print("Along axis 0:", arr3.any(axis=0))
+print("Along axis 1:", arr3.any(axis=1))
+
+# Boolean array
+arr4 = np.array([[True, False], [False, False]])
+print(arr4.any())
+```
+
+The output for the above code will be:
+
+```shell
+True
+False
+Along axis 0: [ True False  True]
+Along axis 1: [ True  True False]
+True
+```
+
+## Codebyte Example
+
+The following codebyte example shows practical applications of the `any()` method with different scenarios:
+
+```codebyte/python
+import numpy as np
+
+# Check if any element meets a condition
+data = np.array([[5, 2, 8], [1, 0, 3]])
+print("Any element > 7:", (data > 7).any())
+print("Any element < 0:", (data < 0).any())
+
+# Using axis parameter
+print("\nAny positive in each column:")
+print(data.any(axis=0))
+
+print("\nAny positive in each row:")
+print(data.any(axis=1))
+
+# Special values
+special_values = np.array([0, np.nan, np.inf])
+print("\nWith NaN and inf:", special_values.any())
+
+# Using keepdims parameter
+result = data.any(axis=1, keepdims=True)
+print("\nWith keepdims=True shape:", result.shape)
+print(result)
+```

From 891ead7d16aabfcb6ab66d625b81504cbeec4efa Mon Sep 17 00:00:00 2001
From: riyadey27 <182591594+riyadey27@users.noreply.github.com>
Date: Fri, 31 Oct 2025 20:47:21 +0530
Subject: [PATCH 311/332] docs: Add term entry for NumPy ndarray.item() (#7903)

* docs: Add term entry for NumPy ndarray.item()

* title fix

* Fixes in the entry

* fixing subjects

* fixing white spaces

* Format n Lint fix

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Lint + Format

---------
---
 .../numpy/concepts/ndarray/terms/item/item.md | 92 +++++++++++++++++++
 1 file changed, 92 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/item/item.md

diff --git a/content/numpy/concepts/ndarray/terms/item/item.md b/content/numpy/concepts/ndarray/terms/item/item.md
new file mode 100644
index 00000000000..af431fcb3a0
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/item/item.md
@@ -0,0 +1,92 @@
+---
+Title: '.item()'
+Description: 'Copies an element of a NumPy ndarray to a standard Python scalar and returns it.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.item()`** method in Numpy copies an element of a NumPy array ([`ndarray`](https://www.codecademy.com/resources/docs/numpy/ndarray)) to a standard Python scalar (like `int`, `float`, `bool`) and returns it. The `.item()` method is handy for extracting a single value from an array, especially a 0-dimensional (scalar) array, into a native Python type.
+
+## Syntax
+
+```pseudo
+element = array.item(*args)
+```
+
+**Parameters:**
+
+- `array` is an instance of `ndarray`.
+- `*args` : `int`, optional
+  - If no arguments are provided, the array must have only one element (i.e., `array.size == 1`), and that single element is returned.
+  - If a single integer is provided, it is interpreted as a flat index into the array (like indexing `array.ravel()[i]`).
+  - If a tuple of integers is provided, it is interpreted as a multi-dimensional index (e.g., `arr.item((0, 1))` for a 2D array).
+
+**Return Value:**
+
+Returns a standard Python scalar (e.g., `int`, `float`, `bool`) corresponding to the selected element.
+
+## Example: Retrieving elements using `item()`
+
+The following example shows how to extract elements using `item()`:
+
+```py
+import numpy as np
+
+# 1D array
+arr_1d = np.array([10, 20, 30])
+element_1d = arr_1d.item(1) # Get element at index 1
+print(f"Element from 1D array: {element_1d}, Type: {type(element_1d)}")
+
+# 2D array
+arr_2d = np.array([[1, 2], [3, 4]])
+element_2d = arr_2d.item(0, 1) # Get element at row 0, column 1
+print(f"Element from 2D array: {element_2d}, Type: {type(element_2d)}")
+
+# 0D (scalar) array
+arr_0d = np.array(99)
+scalar_val = arr_0d.item() # No index needed for 0D array
+print(f"Value from 0D array: {scalar_val}, Type: {type(scalar_val)}")
+```
+
+Output of the above example:
+
+```shell
+Element from 1D array: 20, Type: <class 'int'>
+Element from 2D array: 2, Type: <class 'int'>
+Value from 0D array: 99, Type: <class 'int'>
+```
+
+## Codebyte Example
+
+This example demonstrates the working of `item()`. It retrieves elements from different-shaped arrays using `item()`:
+
+```codebyte/python
+import numpy as np
+
+# Create a 2D array
+my_array = np.array([[5.5, 6.6], [7.7, 8.8]])
+print(f"Original 2D array:\n{my_array}\n")
+
+# Get element at (1, 0)
+item_val = my_array.item(1, 0)
+print(f"Value at index (1, 0): {item_val}")
+print(f"Type of returned value: {type(item_val)}\n")
+# Python Float datatype
+
+# Create a 0D array
+scalar_array = np.array(True)
+print(f"Original 0D array: {scalar_array}")
+
+# Get the scalar value
+bool_val = scalar_array.item()
+print(f"Value from 0D array: {bool_val}")
+print(f"Type of returned value: {type(bool_val)}")
+```

From f231017b0d77a134ce1a04af33145be7eebc409f Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 31 Oct 2025 20:53:47 +0530
Subject: [PATCH 312/332] [Entry]C++ Strings: front() (#7669)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Entry]C++ Strings: front()

* Update front.md

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../cpp/concepts/strings/terms/front/front.md | 121 ++++++++++++++++++
 1 file changed, 121 insertions(+)
 create mode 100644 content/cpp/concepts/strings/terms/front/front.md

diff --git a/content/cpp/concepts/strings/terms/front/front.md b/content/cpp/concepts/strings/terms/front/front.md
new file mode 100644
index 00000000000..8c0455d36c1
--- /dev/null
+++ b/content/cpp/concepts/strings/terms/front/front.md
@@ -0,0 +1,121 @@
+---
+Title: '.front()'
+Description: 'Returns a reference to the first character in a string.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Characters'
+  - 'Functions'
+  - 'Methods'
+  - 'Strings'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`.front()`** method returns a reference to the first character in a [string](https://www.codecademy.com/resources/docs/cpp/strings). The `.front()` method returns a reference to the first character in a string, allowing both access and modification of the character at the front position.
+
+## Syntax
+
+```pseudo
+string.front()
+```
+
+**Parameters:**
+
+The `.front()` method takes no parameters.
+
+**Return value:**
+
+The `.front()` method returns a reference to the first character of the string.
+
+> **Note:** Calling `.front()` on an empty string results in undefined behavior.
+
+## Example 1: Accessing First Character
+
+This example demonstrates how to access the first character of a string using the `.front()` method:
+
+```cpp
+#include <iostream>
+#include <string>
+
+int main() {
+  std::string greeting = "Hello";
+
+  // Access the first character
+  char first = greeting.front();
+
+  std::cout << "First character: " << first << std::endl;
+
+  return 0;
+}
+```
+
+This example results in the following output:
+
+```shell
+First character: H
+```
+
+## Example 2: Modifying First Character
+
+This example shows how to modify the first character of a string, which can be useful for text processing tasks like capitalizing sentences:
+
+```cpp
+#include <iostream>
+#include <string>
+
+int main() {
+  std::string sentence = "hello world";
+
+  // Capitalize the first character
+  sentence.front() = 'H';
+
+  std::cout << "Modified sentence: " << sentence << std::endl;
+
+  return 0;
+}
+```
+
+This example results in the following output:
+
+```shell
+Modified sentence: Hello world
+```
+
+## Codebyte Example: Password Validation
+
+This example demonstrates a practical use case where `.front()` helps validate password requirements by checking the first character:
+
+```codebyte/cpp
+#include <iostream>
+#include <string>
+
+int main() {
+  std::string password = "P@ssw0rd";
+
+  // Check if password starts with uppercase letter
+  if (password.front() >= 'A' && password.front() <= 'Z') {
+    std::cout << "Password starts with uppercase: Valid" << std::endl;
+  } else {
+    std::cout << "Password must start with uppercase letter" << std::endl;
+  }
+
+  return 0;
+}
+```
+
+## Frequently Asked Questions
+
+### 1. What is `front()` in C++?
+
+The `.front()` method is a member function of the `std::string` class that returns a reference to the first character in the string, allowing both read and write access.
+
+### 2. What does `front()` return?
+
+The `.front()` method returns a reference to the first character of the string. This reference can be used to both access and modify the character.
+
+### 3. How to add characters in front of a string in C++?
+
+To add characters at the beginning of a string in C++, use the `.insert()` method with position 0, or use the `+` operator to concatenate a character or string before the original string. The `.front()` method only provides access to modify the existing first character, not to insert new ones.

From 6f6568f3088b93503f30690a71c961a96a34ba63 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 31 Oct 2025 21:00:45 +0530
Subject: [PATCH 313/332] [Entry] C++ unordered map: bucket_count() (#7670)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Entry] C++ unordered map: bucket_count()

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../terms/bucket-count/bucket-count.md        | 178 ++++++++++++++++++
 1 file changed, 178 insertions(+)
 create mode 100644 content/cpp/concepts/unordered-map/terms/bucket-count/bucket-count.md

diff --git a/content/cpp/concepts/unordered-map/terms/bucket-count/bucket-count.md b/content/cpp/concepts/unordered-map/terms/bucket-count/bucket-count.md
new file mode 100644
index 00000000000..f4816fcd4b5
--- /dev/null
+++ b/content/cpp/concepts/unordered-map/terms/bucket-count/bucket-count.md
@@ -0,0 +1,178 @@
+---
+Title: 'bucket_count()'
+Description: 'Returns the total number of buckets in an unordered map container.'
+Subjects:
+  - 'Computer Science'
+  - 'Game Development'
+Tags:
+  - 'Classes'
+  - 'Data Structures'
+  - 'Hash Maps'
+  - 'Methods'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`bucket_count()`** method returns the total number of buckets in an `unordered_map` container. Since `unordered_map` is implemented using a hash table, elements are stored in buckets based on the hash value of their keys, and this method allows developers to understand the underlying structure of the container.
+
+## Syntax
+
+```pseudo
+unordered_map_name.bucket_count()
+```
+
+**Parameters:**
+
+The `.bucket_count()` method does not take any parameters.
+
+**Return value:**
+
+The method returns a value of type `size_type`, which is an unsigned integral type representing the current number of buckets in the `unordered_map`.
+
+## Example 1: Basic Bucket Count
+
+This example demonstrates how to retrieve the total number of buckets in an `unordered_map`:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+
+int main() {
+  // Create an unordered_map with string keys and integer values
+  std::unordered_map<std::string, int> grades;
+
+  // Insert some key-value pairs
+  grades["Alice"] = 85;
+  grades["Bob"] = 92;
+  grades["Charlie"] = 78;
+  grades["Diana"] = 95;
+  grades["Eve"] = 88;
+
+  // Get the number of buckets
+  size_t bucket_total = grades.bucket_count();
+
+  // Display the result
+  std::cout << "The unordered_map has " << bucket_total << " buckets." << std::endl;
+
+  return 0;
+}
+```
+
+This example results in the following output:
+
+```shell
+The unordered_map has 13 buckets.
+```
+
+The output shows that the `unordered_map` has automatically allocated 13 buckets to store the 5 elements, providing room for efficient hash distribution.
+
+## Example 2: Monitoring Bucket Growth
+
+This example shows how the number of buckets changes as more elements are added to an `unordered_map`:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+
+int main() {
+  // Create an empty unordered_map
+  std::unordered_map<std::string, double> prices;
+
+  std::cout << "Initial bucket count: " << prices.bucket_count() << std::endl;
+
+  // Add elements and monitor bucket count
+  prices["apple"] = 1.99;
+  std::cout << "After 1 element: " << prices.bucket_count() << " buckets" << std::endl;
+
+  prices["banana"] = 0.89;
+  prices["orange"] = 2.49;
+  prices["grape"] = 3.99;
+  std::cout << "After 4 elements: " << prices.bucket_count() << " buckets" << std::endl;
+
+  // Add more elements to trigger rehashing
+  prices["mango"] = 2.99;
+  prices["pear"] = 1.79;
+  prices["kiwi"] = 0.99;
+  prices["melon"] = 4.49;
+  prices["peach"] = 2.29;
+  std::cout << "After 9 elements: " << prices.bucket_count() << " buckets" << std::endl;
+
+  return 0;
+}
+```
+
+This example results in the following output:
+
+```shell
+Initial bucket count: 1
+After 1 element: 13 buckets
+After 4 elements: 13 buckets
+After 9 elements: 13 buckets
+```
+
+When the first element is added, the `unordered_map` automatically increases the number of buckets from 1 to 13. The bucket count then remained at 13 as more elements were added, maintaining an efficient load factor.
+
+## Codebyte Example: Analyzing Hash Distribution
+
+This example demonstrates using `bucket_count()` together with other bucket-related methods to analyze how elements are distributed across buckets:
+
+```codebyte/cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+
+int main() {
+  // Create an unordered_map for product inventory
+  std::unordered_map<std::string, int> inventory;
+
+  // Add product stock quantities
+  inventory["laptop"] = 45;
+  inventory["mouse"] = 120;
+  inventory["keyboard"] = 80;
+  inventory["monitor"] = 30;
+  inventory["headset"] = 65;
+  inventory["webcam"] = 25;
+  inventory["speaker"] = 55;
+
+  // Get total bucket count
+  size_t total_buckets = inventory.bucket_count();
+  std::cout << "Total buckets: " << total_buckets << std::endl;
+  std::cout << "Total elements: " << inventory.size() << std::endl;
+  std::cout << "\nBucket distribution:" << std::endl;
+
+  // Analyze distribution across buckets
+  for (size_t i = 0; i < total_buckets; i++) {
+    std::cout << "Bucket " << i << " contains " << inventory.bucket_size(i) << " elements";
+
+    // Show which elements are in this bucket
+    if (inventory.bucket_size(i) > 0) {
+      std::cout << ": ";
+      for (auto it = inventory.begin(i); it != inventory.end(i); ++it) {
+        std::cout << it->first << " ";
+      }
+    }
+    std::cout << std::endl;
+  }
+
+  return 0;
+}
+```
+
+This analysis helps understand how the hash function distributes elements across the available buckets, which can be useful for performance optimization.
+
+## Frequently Asked Questions
+
+### 1. What is the purpose of `unordered_map` in C++?
+
+An `unordered_map` is an associative container that stores key-value pairs with unique keys. It provides fast average-case `O(1)` operations for access, insertion, and deletion using hash tables.
+
+### 2. What is `bucket_count`?
+
+The `bucket_count()` method returns the total number of buckets allocated in the `unordered_map`'s hash table. The container automatically adjusts this count to maintain optimal performance as elements are added.
+
+### 3. Is `unordered_map` better than map?
+
+Use `unordered_map` when fast access is the priority and ordering is not needed, as it provides `O(1)` average operations. Use `map` when sorted order is required or `O(log n)` worst-case guarantees are needed.

From 749205953c829f544f99b6ae03af0f8c9213b5a4 Mon Sep 17 00:00:00 2001
From: Mamta Wardhani <mamta.wardhani@gmail.com>
Date: Fri, 31 Oct 2025 21:09:23 +0530
Subject: [PATCH 314/332] [Entry] C++ unordered map: bucket_size() (#7671)

* [Edit] Python: Python CLI arguments

* Update command-line-arguments.md

* [Entry] C++ unordered map: bucket_size()

* Apply suggestion from @avdhoottt

* Apply suggestion from @avdhoottt

---------
---
 .../terms/bucket-size/bucket-size.md          | 198 ++++++++++++++++++
 1 file changed, 198 insertions(+)
 create mode 100644 content/cpp/concepts/unordered-map/terms/bucket-size/bucket-size.md

diff --git a/content/cpp/concepts/unordered-map/terms/bucket-size/bucket-size.md b/content/cpp/concepts/unordered-map/terms/bucket-size/bucket-size.md
new file mode 100644
index 00000000000..81c5f90cf10
--- /dev/null
+++ b/content/cpp/concepts/unordered-map/terms/bucket-size/bucket-size.md
@@ -0,0 +1,198 @@
+---
+Title: 'bucket_size()'
+Description: 'Returns the number of elements in a specific bucket of an unordered map.'
+Subjects:
+  - 'Computer Science'
+  - 'Web Development'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Hash Maps'
+  - 'Methods'
+CatalogContent:
+  - 'learn-c-plus-plus'
+  - 'paths/computer-science'
+---
+
+The **`.bucket_size()`** method returns the number of elements stored in a specific bucket of an `unordered_map`. In C++, an `unordered_map` uses a hash table internally where elements are distributed across multiple buckets based on their key's hash value. This method helps analyze the distribution of elements and can be useful for performance optimization and understanding collision handling in the hash table.
+
+## Syntax
+
+```pseudo
+unordered_map.bucket_size(n)
+```
+
+**Parameters:**
+
+- `n`: The bucket number to query. This value must be less than the total number of buckets returned by `.bucket_count()`. It is of type `size_type`, which is an unsigned integral type.
+
+**Return value:**
+
+The `.bucket_size()` method returns the number of elements in bucket `n` as an unsigned integer of type `size_type`.
+
+## Example 1: Basic Bucket Size Check
+
+This example demonstrates how to use `.bucket_size()` to check the number of elements in each bucket of an `unordered_map`:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+
+int main() {
+  // Create an unordered_map with string keys and integer values
+  std::unordered_map<std::string, int> ages = {
+    {"Alice", 25},
+    {"Bob", 30},
+    {"Charlie", 35},
+    {"Diana", 28}
+  };
+
+  // Get the total number of buckets
+  unsigned int total_buckets = ages.bucket_count();
+  std::cout << "Total buckets: " << total_buckets << "\n\n";
+
+  // Display the number of elements in each bucket
+  for (unsigned int i = 0; i < total_buckets; i++) {
+    std::cout << "Bucket " << i << " has " << ages.bucket_size(i) << " elements\n";
+  }
+
+  return 0;
+}
+```
+
+This example results in the following output:
+
+```shell
+Total buckets: 5
+
+Bucket 0 has 1 elements
+Bucket 1 has 1 elements
+Bucket 2 has 2 elements
+Bucket 3 has 0 elements
+Bucket 4 has 0 elements
+```
+
+The output shows how elements are distributed across the buckets. Some buckets may be empty while others contain one or more elements depending on the hash function's distribution.
+
+> **Note:** Output values are implementation-dependent and may vary across different compilers and systems.
+
+## Example 2: Analyzing Load Distribution
+
+This example shows how to use `.bucket_size()` to analyze the load distribution in an `unordered_map` storing product inventory data, which helps identify potential performance issues:
+
+```cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+
+int main() {
+  // Create an inventory map with product IDs and quantities
+  std::unordered_map<std::string, int> inventory = {
+    {"PROD001", 150},
+    {"PROD002", 200},
+    {"PROD003", 75},
+    {"PROD004", 300},
+    {"PROD005", 125},
+    {"PROD006", 50},
+    {"PROD007", 180},
+    {"PROD008", 90}
+  };
+
+  unsigned int total_buckets = inventory.bucket_count();
+  int max_bucket_size = 0;
+  int empty_buckets = 0;
+
+  // Analyze bucket distribution
+  for (unsigned int i = 0; i < total_buckets; i++) {
+    int current_size = inventory.bucket_size(i);
+
+    if (current_size > max_bucket_size) {
+      max_bucket_size = current_size;
+    }
+
+    if (current_size == 0) {
+      empty_buckets++;
+    }
+  }
+
+  // Display distribution statistics
+  std::cout << "Total buckets: " << total_buckets << "\n";
+  std::cout << "Empty buckets: " << empty_buckets << "\n";
+  std::cout << "Maximum elements in a bucket: " << max_bucket_size << "\n";
+  std::cout << "Average load factor: " << inventory.load_factor() << "\n";
+
+  return 0;
+}
+```
+
+This example results in the following output:
+
+```shell
+Total buckets: 11
+Empty buckets: 5
+Maximum elements in a bucket: 2
+Average load factor: 0.727273
+```
+
+This analysis helps understand how well the hash function distributes elements. A high maximum bucket size might indicate hash collisions that could affect performance.
+
+## Codebyte Example: Identifying Collision Hotspots
+
+This example demonstrates using `.bucket_size()` to identify buckets with multiple elements, which indicates hash collisions in a user authentication system:
+
+```codebyte/cpp
+#include <iostream>
+#include <unordered_map>
+#include <string>
+
+int main() {
+  // Create a map storing user sessions with session IDs
+  std::unordered_map<std::string, std::string> sessions = {
+    {"session_a1b2", "user_101"},
+    {"session_c3d4", "user_102"},
+    {"session_e5f6", "user_103"},
+    {"session_g7h8", "user_104"},
+    {"session_i9j0", "user_105"},
+    {"session_k1l2", "user_106"}
+  };
+
+  unsigned int total_buckets = sessions.bucket_count();
+
+  std::cout << "Buckets with collisions (multiple elements):\n";
+
+  // Find and report buckets with more than one element
+  for (unsigned int i = 0; i < total_buckets; i++) {
+    unsigned int size = sessions.bucket_size(i);
+
+    if (size > 1) {
+      std::cout << "Bucket " << i << " has " << size << " elements (collision detected)\n";
+
+      // Display which sessions are in this bucket
+      std::cout << "  Sessions in this bucket: ";
+      for (auto it = sessions.begin(i); it != sessions.end(i); ++it) {
+        std::cout << it->first << " ";
+      }
+      std::cout << "\n";
+    }
+  }
+
+  return 0;
+}
+```
+
+This helps identify potential performance bottlenecks where multiple keys hash to the same bucket, requiring additional comparisons during lookup operations.
+
+## Frequently Asked Questions
+
+### 1. What is the bucket in `unordered_map`?
+
+A bucket is a slot in the internal hash table where elements are stored based on their key's hash value. Each bucket can contain zero, one, or multiple elements, numbered from 0 to `bucket_count() - 1`.
+
+### 2. What is the `unordered_map` in C++ with size?
+
+An `unordered_map` is a hash table container that stores key-value pairs. The `.size()` method returns total elements, while `.bucket_count()` returns the number of buckets. Their ratio determines the load factor.
+
+### 3. What is the `unordered_set` bucket size?
+
+The `.bucket_size(n)` method in `unordered_set` works the same as in `unordered_map`, returning the number of elements in bucket `n` to help analyze distribution and collisions.

From f51c313dad26f5dca6793e7891b3a0a6080ced54 Mon Sep 17 00:00:00 2001
From: Musab Kasbati <43878981+Musab1Blaser@users.noreply.github.com>
Date: Fri, 31 Oct 2025 21:41:32 +0500
Subject: [PATCH 315/332] [Term Entry] Python Matplotlib - Pyplot: .subplot()
 (#7832)

* Add subplot term documentation

* run formatter

* Update subplot.md

---------
---
 .../concepts/pyplot/terms/subplot/subplot.md  | 174 ++++++++++++++++++
 documentation/tags.md                         |   1 +
 media/subplot-1.png                           | Bin 0 -> 37310 bytes
 media/subplot-2.png                           | Bin 0 -> 53211 bytes
 media/subplot-3.png                           | Bin 0 -> 51353 bytes
 5 files changed, 175 insertions(+)
 create mode 100644 content/matplotlib/concepts/pyplot/terms/subplot/subplot.md
 create mode 100644 media/subplot-1.png
 create mode 100644 media/subplot-2.png
 create mode 100644 media/subplot-3.png

diff --git a/content/matplotlib/concepts/pyplot/terms/subplot/subplot.md b/content/matplotlib/concepts/pyplot/terms/subplot/subplot.md
new file mode 100644
index 00000000000..6d7d0c72f08
--- /dev/null
+++ b/content/matplotlib/concepts/pyplot/terms/subplot/subplot.md
@@ -0,0 +1,174 @@
+---
+Title: '.subplot()'
+Description: 'Creates a subplot within the same figure.'
+Subjects:
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Functions'
+  - 'Matplotlib'
+  - 'Subplot'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.subplot()`** function in [Matplotlib](https://www.codecademy.com/resources/docs/matplotlib) creates a subplot within a figure based on a specified grid layout or returns an existing subplot if one already occupies the given position. It offers a straightforward way to incrementally build and modify figures, making it useful for creating flexible and customizable multi-plot layouts.
+
+Typical use cases for `.subplot()` include incrementally constructing figures with multiple plots, dynamically adding or updating subplots, and fine-tuning individual plots within a figure during exploratory data analysis, or interactive visualization.
+
+## Syntax
+
+```pseudo
+matplotlib.pyplot.subplot(*args, **kwargs)
+```
+
+**Parameters:**
+
+- `*args`: Defines the subplot position. It can be specified in two ways:
+  - **Three integers**: `(nrows, ncols, index)` — defines the number of rows, columns, and the position of the subplot.
+  - **A single integer**: For example, `plt.subplot(221)` is equivalent to `plt.subplot(2, 2, 1)`.
+- `**kwargs`: Additional keyword arguments for subplot customization, such as:
+  - `projection`: Sets the projection type (`'rectilinear'`, `'polar'`, `'3d'`, etc.).
+  - `polar`: If `True`, creates a polar projection subplot.
+  - `sharex`, `sharey`: Share the x-axis or y-axis with another subplot.
+  - `label`: Internal label used to identify the returned `Axes` object.
+  - Any other valid `Axes` properties.
+
+**Return value:**
+
+Returns an `Axes` object representing the subplot. This object can be used to modify, label, or further customize the subplot.
+
+## Example 1: Basic Subplot Creation using `.subplot()`
+
+This example demonstrates the fundamental usage of `.subplot()` to create a simple 1x2 grid of plots:
+
+```py
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Create sample data
+x = np.linspace(0, 10, 100)
+y1 = np.sin(x)
+y2 = np.cos(x)
+
+# Create first subplot (1 row, 2 columns, first position - using triple)
+plt.subplot(1, 2, 1)
+plt.plot(x, y1, 'b-', linewidth=2)
+plt.title('Sine Wave')
+plt.xlabel('x')
+plt.ylabel('sin(x)')
+plt.grid(True)
+
+# Create second subplot (1 row, 2 columns, second position - using single integer)
+plt.subplot(122)
+plt.plot(x, y2, 'r-', linewidth=2)
+plt.title('Cosine Wave')
+plt.xlabel('x')
+plt.ylabel('cos(x)')
+plt.grid(True)
+
+# Adjust layout and display
+plt.tight_layout()
+plt.show()
+```
+
+The output generated by this code will be:
+
+![Side-by-side line plots of sine and cosine waves with labelled axes and grid lines](https://raw.githubusercontent.com/Codecademy/docs/main/media/subplot-1.png)
+
+This example creates two side-by-side plots showing sine and cosine waves. The `.subplot()` function allows us to create the plots one-by-one. Each subplot can be customized independently using its returned `Axes` object.
+
+## Example 2: Non-Uniform Plot for Sales Data Comparison Dashboard
+
+This example shows how to use `.subplot()` to create a business dashboard comparing quarterly sales data across different metrics:
+
+```py
+import matplotlib.pyplot as plt
+
+# Sample quarterly sales data
+quarters = ['Q1', 'Q2', 'Q3', 'Q4']
+revenue = [125000, 150000, 175000, 200000]
+units_sold = [1250, 1400, 1600, 1800]
+profit_margin = [0.15, 0.18, 0.22, 0.25]
+
+# We want 2 rows, with 1 big plot in the first row and 3 small plots in the second row
+# 1st Row: Revenue Bar Chart
+ax1 = plt.subplot(2, 1, 1)
+ax1.bar(quarters, revenue, color='skyblue', alpha=0.7)
+ax1.set_title('Quarterly Revenue')
+ax1.set_ylabel('Revenue ($)')
+ax1.tick_params(axis='y', labelcolor='blue')
+
+# 2nd Row, 1st Column: Units Sold Line Chart
+ax2 = plt.subplot(2, 3, 4)
+ax2.plot(quarters, units_sold, marker='o', color='green', linewidth=3)
+ax2.set_title('Units Sold per Quarter')
+ax2.set_ylabel('Units')
+ax2.grid(True, alpha=0.3)
+
+# 2nd Row, 2nd Column: Profit margin trend
+ax3 = plt.subplot(2, 3, 5)
+ax3.plot(quarters, profit_margin, marker='s', color='red', linewidth=2)
+ax3.set_title('Profit Margin Trend')
+ax3.set_ylabel('Profit Margin')
+ax3.set_ylim(0, 0.3)
+ax3.grid(True, alpha=0.3)
+
+# 2nd Row, 3rd Column: Combined revenue vs units
+ax4 = plt.subplot(2, 3, 6)
+ax4_twin = ax4.twinx()
+bars = ax4.bar(quarters, revenue, alpha=0.6, color='lightblue', label='Revenue')
+line = ax4_twin.plot(quarters, units_sold, 'ro-', label='Units')
+ax4.set_title('Revenue vs Units Sold')
+ax4.set_ylabel('Revenue ($)', color='blue')
+ax4_twin.set_ylabel('Units Sold', color='red')
+
+# Adjust layout to prevent overlap
+plt.tight_layout()
+plt.show()
+```
+
+The output generated by this code will be:
+
+![A custom grid layout showing revenue, units sold, profit margin, and a combined revenue-units chart for quarterly sales data](https://raw.githubusercontent.com/Codecademy/docs/main/media/subplot-2.png)
+
+This example demonstrates a real-world business scenario where multiple related metrics need to be visualized together. The custom grid layout allows for greater emphasis on overall revenue, with smaller plots for other supporting metrics.
+
+## Example 3: Dynamic Plotting for Genetic Data
+
+This example illustrates using `.subplot()` for dynamic plotting, where number of subplots may vary based on the data:
+
+```py
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+# Expression levels of 5 genes across 8 samples
+np.random.seed(0)
+data = pd.DataFrame({
+    f'Gene_{i}': np.random.normal(loc=i*2, scale=np.random.uniform(0.3, 2), size=8)
+    for i in range(1, 6)
+})
+
+# Threshold for "interesting" variation
+threshold = 1.0
+interesting_genes = [gene for gene in data.columns if data[gene].std() > threshold]
+
+# Dynamically create subplots only for those genes
+for i, gene in enumerate(interesting_genes, start=1):
+  plt.subplot(len(interesting_genes), 1, i)  # dynamic positioning
+  plt.plot(data[gene], marker='o')
+  plt.title(f"{gene} (std={data[gene].std():.2f})")
+  plt.ylabel("Expression")
+  plt.grid(alpha=0.3)
+
+plt.tight_layout()
+plt.show()
+```
+
+The output generated by this code will be:
+
+![A dynamically sized grid of line plots for genes with high variance](https://raw.githubusercontent.com/Codecademy/docs/main/media/subplot-3.png)
+
+This scientific example showcases how `.subplot()` can be used to create varying number of plots based on genes in the data which meet a particular threshold of variance. This approach is handy when exploring a new dataset.
diff --git a/documentation/tags.md b/documentation/tags.md
index 4b6cf8b6cc9..61e3ae78200 100644
--- a/documentation/tags.md
+++ b/documentation/tags.md
@@ -347,6 +347,7 @@ Strings
 Structure
 Style
 Stochastic Gradient Descent
+Subplot
 Subplots
 Subqueries
 Supervised Learning
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From d9883e52d9e2b2e84f0637bdee2fd1d3514444ba Mon Sep 17 00:00:00 2001
From: cheese-cakee <farzanaman99@gmail.com>
Date: Fri, 31 Oct 2025 22:15:18 +0530
Subject: [PATCH 316/332] Nextafteradditon (#7922)

* Create nextafter.md

* Update nextafter.md

* Update nextafter.md

* Update nextafter.md

* fixed meta data

* minor changes

---------
---
 .../terms/nextafter/nextafter.md              | 81 +++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/nextafter/nextafter.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/nextafter/nextafter.md b/content/pytorch/concepts/tensor-operations/terms/nextafter/nextafter.md
new file mode 100644
index 00000000000..eae7860e498
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/nextafter/nextafter.md
@@ -0,0 +1,81 @@
+---
+Title: '.nextafter()'
+Description: 'Returns the next floating-point value after each element of input in the direction of the corresponding element of other.'
+Subjects:
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'Functions'
+  - 'Operations'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'learn-pytorch'
+  - 'intro-to-py-torch-and-neural-networks'
+---
+
+The **`torch.nextafter()`** function returns the next representable floating-point value of each element in the `input` tensor in the direction of the corresponding element in the `other` tensor.
+
+It’s useful for precise floating-point control, such as numerical stability adjustments or boundary value analysis.
+
+> **Note:** If an element in `input` equals the corresponding element in `other`, that element is returned unchanged in the output tensor.
+
+## Syntax
+
+```pseudo
+torch.nextafter(input, other, out=None)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor containing starting floating-point values.
+- `other` (Tensor): The tensor indicates each element's direction in `input`.
+- `out` (Tensor, optional): The output tensor to store results. If not provided, a new tensor is returned.
+
+**Return value:**
+
+Returns a tensor of the same shape as `input`, where each element is the next representable floating-point value of `input` in the direction of `other`.
+
+## Example
+
+The following example shows how `torch.nextafter()` moves each element of one tensor slightly closer to the corresponding element in another tensor:
+
+```py
+import torch
+
+# Create input tensors (float type)
+input_tensor = torch.tensor([1.0, 5.0, -10.0, 8.0])
+other_tensor = torch.tensor([2.0, 1.0, -11.0, 8.0])
+
+# Calculate nextafter
+result = torch.nextafter(input_tensor, other_tensor)
+
+print("Input Tensor:")
+print(input_tensor)
+
+print("\nOther Tensor:")
+print(other_tensor)
+
+print("\nResult Tensor:")
+print(result)
+```
+
+The output of the code is:
+
+```shell
+Input Tensor:
+tensor([  1.,   5., -10.,   8.])
+
+Other Tensor:
+tensor([  2.,   1., -11.,   8.])
+
+Result Tensor:
+tensor([  1.0000,   5.0000, -10.0000,   8.0000])
+```
+
+In this:
+
+- `1.0` becomes slightly larger since it moves toward `2.0`.
+- `5.0` becomes slightly smaller since it moves toward `1.0`.
+- `-10.0` becomes slightly more negative since it moves toward `-11.0`.
+- `8.0` remains unchanged since it already equals the corresponding value.

From 25b648397678056d544189691b3e07f6f4688d03 Mon Sep 17 00:00:00 2001
From: Rishabh Ranjan Singh <rishabhrsingh19@gmail.com>
Date: Sat, 1 Nov 2025 16:53:04 +0530
Subject: [PATCH 317/332] docs: Add PyTorch Tensor Operations entry for
 .rad2deg() (#7852) (#7923)

* docs: Add PyTorch tensor method .rad2deg() entry (#7852)

* Update rad2deg.md

* minor content fixes

---------
---
 .../terms/rad2deg/rad2deg.md                  | 68 +++++++++++++++++++
 1 file changed, 68 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/rad2deg/rad2deg.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/rad2deg/rad2deg.md b/content/pytorch/concepts/tensor-operations/terms/rad2deg/rad2deg.md
new file mode 100644
index 00000000000..a665ea0d8db
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/rad2deg/rad2deg.md
@@ -0,0 +1,68 @@
+---
+Title: '.rad2deg()'
+Description: 'Converts the elements of a tensor from radians to degrees.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'PyTorch'
+  - 'Tensor'
+  - 'Trigonometry'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.rad2deg()`** function in PyTorch converts the elements of a tensor from radians to degrees. This is useful for trigonometric and rotational operations when working with angular measurements. The operation is performed element-wise, meaning it applies the conversion formula ($$\text{degrees} = \text{radians} \times \frac{180}{\pi}$$) to every value in the tensor, returning a new tensor with the results.
+
+This function is available for tensors with floating-point data types such as `torch.float16`, `torch.float32`, or `torch.float64`.
+
+## Syntax
+
+```pseudo
+torch.rad2deg(input)
+```
+
+**Parameters:**
+
+- `input` (Tensor): A tensor containing angular values in radians.
+
+**Return value:**
+
+Returns a tensor containing the degree equivalents of the original tensor's elements. The returned tensor has the same size and data type as the original input tensor.
+
+## Example
+
+This example demonstrates how to use `.rad2deg()` to convert common angular values ($\pi$ radians and $\frac{\pi}{2}$ radians) into degrees:
+
+```py
+import torch
+import math
+
+# Create a tensor with values in radians
+radians_tensor = torch.tensor([
+  math.pi / 2,
+  math.pi,
+  0.0
+])
+
+print("Original Tensor (Radians):")
+print(radians_tensor)
+
+# Convert radians to degrees using torch.rad2deg()
+degrees_tensor = torch.rad2deg(radians_tensor)
+
+print("\nConverted Tensor (Degrees):")
+print(degrees_tensor)
+```
+
+The output of this code is:
+
+```shell
+Original Tensor (Radians):
+tensor([1.5708, 3.1416, 0.0000])
+
+Converted Tensor (Degrees):
+tensor([ 90.0000, 180.0000,   0.0000])
+```

From 33a641db7e8537b93b717edfac1a26138653c095 Mon Sep 17 00:00:00 2001
From: johnmoore84 <5482498+johnmoore84@users.noreply.github.com>
Date: Sat, 1 Nov 2025 04:33:48 -0700
Subject: [PATCH 318/332] [Term Entry] Python NumPy - ndarray: clip() (#7918)

* [Term Entry] Python NumPy - ndarray: clip()

* minor changes

* minor content fixes

---------
---
 .../numpy/concepts/ndarray/terms/clip/clip.md | 98 +++++++++++++++++++
 1 file changed, 98 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/clip/clip.md

diff --git a/content/numpy/concepts/ndarray/terms/clip/clip.md b/content/numpy/concepts/ndarray/terms/clip/clip.md
new file mode 100644
index 00000000000..b91c0c6d750
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/clip/clip.md
@@ -0,0 +1,98 @@
+---
+Title: '.clip()'
+Description: 'Limits the values in an array to a specified range.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Math'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+Numpy's **`.clip()`** method limits the values in an [array](https://www.codecademy.com/resources/docs/numpy/ndarray) to a specified range by replacing values below a minimum or above a maximum with those boundary values.
+
+## Syntax
+
+```pseudo
+ndarray.clip(min=None, max=None, out=None)
+```
+
+**Parameters:**
+
+- `min`: The minimum value to clip array elements to. All values below this will be set to `min`.
+- `max`: The maximum value to clip array elements to. All values above this will be set to `max`.
+- `out`: Output array for storing the result. Must have the same shape as the input array.
+
+**Return value:**
+
+Returns an array in which all values are clipped to the specified range. If `out` is provided, the result is stored in it and a reference to `out` is returned.
+
+## Example 1: Clipping an Array Using `.clip()`
+
+In this example, `.clip()` is used without the `out` parameter to restrict all values of an array to a given range:
+
+```py
+import numpy as np
+
+# Create an array
+np_array = np.array([0, 1, 1, 2, 3, 5, 8, 13, 21])
+
+# Clip values between 3 and 9
+clipped_array = np_array.clip(min=3, max=9)
+
+# Print clipped array
+print("Clipped Array: ", clipped_array)
+```
+
+The output of this code is:
+
+```shell
+Clipped Array:  [3 3 3 3 3 5 8 9 9]
+```
+
+## Example 2: Element-Wise Clipping Using `.clip()`
+
+This example demonstrates using arrays for `min` and `max` to clip values element-wise:
+
+```py
+import numpy as np
+
+np_array = np.array([[[20, -1, 12], [2, -3, 50]]])
+output_array = np.empty_like(np_array)
+
+min_vals = np.array([[[-1, 4, 7], [10, -13, 16]]])
+max_vals = np.array([[[2, 5, 11], [13, 17, 19]]])
+
+np_array.clip(min_vals, max_vals, out=output_array)
+
+print("Clipped Array:\n", output_array)
+```
+
+The output of this code is:
+
+```shell
+Clipped Array:
+ [[[ 2  4 11]
+  [10 -3 19]]]
+```
+
+## Codebyte Example
+
+In this example, `.clip()` is provided with an integer for `min` and an array for `max`:
+
+```codebyte/python
+import numpy as np
+
+# Create an array of 10 integers
+np_array = np.array([4, 3, 7, -23, 5, 6, 4, 324, -94, 2])
+print("Array: ", np_array)
+
+# Provide an integer for min and an array of 10 for max
+clipped_array = np_array.clip(-4, [0, 1, 1, 2, 4, 7, 13, 24, 44, 81])
+print("Clipped Array: ", clipped_array)
+```

From 5f29bd2c717fe7895c0c242367725d4b0f13f979 Mon Sep 17 00:00:00 2001
From: codecademydev <dev@codecademy.com>
Date: Sun, 2 Nov 2025 13:10:01 +0000
Subject: [PATCH 319/332] =?UTF-8?q?=F0=9F=A4=96=20update=20concept=20of=20?=
 =?UTF-8?q?the=20week?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 bin/concept-of-the-week.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/bin/concept-of-the-week.txt b/bin/concept-of-the-week.txt
index 87fd518894c..ec933ede130 100644
--- a/bin/concept-of-the-week.txt
+++ b/bin/concept-of-the-week.txt
@@ -1 +1 @@
-content/sklearn/concepts/probability-calibration/probability-calibration.md
\ No newline at end of file
+content/kotlin/concepts/operators/operators.md
\ No newline at end of file

From 26cac31c16fcfbfa252477b85add45d24b059cc5 Mon Sep 17 00:00:00 2001
From: Silvia Pasciullo <117067632+silviapasc@users.noreply.github.com>
Date: Tue, 4 Nov 2025 07:23:07 +0100
Subject: [PATCH 320/332] [Term Entry] Python Collections-module: UserList
 #7536 (#7717)

* Create userlist.md

* Updated headers

* removed codebyte due to runtime error

* second example removed

* fixing check errors

* remove duplicate CatalogContent

* Update userlist.md with codebyte example

* Update userlist.md

---------
---
 .../terms/userlist/userlist.md                | 108 ++++++++++++++++++
 1 file changed, 108 insertions(+)
 create mode 100644 content/python/concepts/collections-module/terms/userlist/userlist.md

diff --git a/content/python/concepts/collections-module/terms/userlist/userlist.md b/content/python/concepts/collections-module/terms/userlist/userlist.md
new file mode 100644
index 00000000000..7994fb510f2
--- /dev/null
+++ b/content/python/concepts/collections-module/terms/userlist/userlist.md
@@ -0,0 +1,108 @@
+---
+Title: 'UserList'
+Description: 'Wrapper around list objects for easier list subclassing.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Classes'
+  - 'Modules'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`UserList`** class from the `collections` module acts as a wrapper around the built-in [`list`](https://www.codecademy.com/resources/docs/python/lists) type, to create custom list-like [classes](https://www.codecademy.com/resources/docs/python/classes) with modified behavior or new functionalities. Although directly subclassing Python’s list reduces the need for this class, UserList remains available in the standard library for convenience and backward compatibility.
+
+## Syntax
+
+```pseudo
+collections.UserList([list])
+```
+
+**Parameters:**
+
+- `list`: A regular list object used to store the contents of the UserList class. The list is empty by default and can be accessed via the UserList `data` attribute.
+
+**Return value:**
+
+Returns a `collections.UserList` instance that behaves like a standard Python list.
+
+## Example: Basic Usage of `collections.UserList`
+
+This example showcases a basic use of `UserList` as a wrapper around a list:
+
+```py
+from collections import UserList
+
+# Create a regular list
+l = ['USD', 'GBP', 'EUR']
+print(l)
+
+# Instantiate a UserList object from the list
+ul = UserList(l)
+print(ul)
+
+# Print out the data type for each instantiated object
+print(type(l))
+print(type(ul))
+```
+
+The code returns the following output:
+
+```shell
+['USD', 'GBP', 'EUR']
+['USD', 'GBP', 'EUR']
+<class 'list'>
+<class 'collections.UserList'>
+```
+
+The `UserList` behaves like a standard list, but its contents are stored in the `data` attribute:
+
+```py
+print(ul.data)  # Access the underlying list
+
+# Append a new item
+ul.append('$')
+print(ul)
+
+# Remove an item
+ul.remove('$')
+
+# Sort the list-like object in ascending order
+ul.sort()
+print(ul)
+```
+
+The above code will return the following output:
+
+```shell
+['USD', 'GBP', 'EUR']
+['USD', 'GBP', 'EUR', '$']
+['EUR', 'GBP', 'USD']
+```
+
+## Codebyte Example: Creating a Custom List Using `UserList`
+
+The following example demonstrates how `UserList` can be subclassed to restrict unwanted behavior, here, preventing negative numbers from being added:
+
+```codebyte/python
+from collections import UserList
+
+# Custom list that disallows negative numbers
+class PositiveList(UserList):
+  def append(self, item):
+    if item < 0:
+      print("Negative values not allowed!")
+    else:
+      super().append(item)
+
+# Create and modify the custom UserList
+pl = PositiveList([1, 3, 5])
+print("Initial list:", pl)
+
+pl.append(10)
+pl.append(-4)   # This will trigger the custom rule
+print("Final list:", pl)
+```

From 13237687836d5c44a3bf03def9b9b842988586f2 Mon Sep 17 00:00:00 2001
From: John Patrick Gallagher <shmrck206@gmail.com>
Date: Mon, 3 Nov 2025 22:57:28 -0800
Subject: [PATCH 321/332] [Term Entry] Python matplotlib - pyplot: stackplot()

* Add stackplot term entry documentation

- Add comprehensive stackplot.md documentation for matplotlib.pyplot.stackplot()
- Include syntax, parameters, examples, and FAQ sections
- Add stackplot-example.png image demonstrating sales data visualization
- Follow Codecademy template standards with proper YAML front matter

* Revise stackplot documentation for clarity and detail

Updated the documentation for the stackplot function in Matplotlib. Changes include improved title and description, parameter details, and examples.

* Add image for codebyte example output

- Added stackplot-codebyte-example.png showing the visual output of the codebyte example
- Added descriptive text and user note about static vs interactive output
- Addresses maintainer feedback on initial pull request

* Remove unused stackplot-codebyte-example.png image

This image was leftover from when the codebyte section was converted to a standard example. It's no longer referenced in the documentation and represents a duplicate output image for Example 1.

* Minor changes

---------
---
 .../pyplot/terms/stackplot/stackplot.md       | 103 ++++++++++++++++++
 media/stackplot-example-2.png                 | Bin 0 -> 99584 bytes
 media/stackplot-example.png                   | Bin 0 -> 119820 bytes
 3 files changed, 103 insertions(+)
 create mode 100644 content/matplotlib/concepts/pyplot/terms/stackplot/stackplot.md
 create mode 100644 media/stackplot-example-2.png
 create mode 100644 media/stackplot-example.png

diff --git a/content/matplotlib/concepts/pyplot/terms/stackplot/stackplot.md b/content/matplotlib/concepts/pyplot/terms/stackplot/stackplot.md
new file mode 100644
index 00000000000..cac57c12630
--- /dev/null
+++ b/content/matplotlib/concepts/pyplot/terms/stackplot/stackplot.md
@@ -0,0 +1,103 @@
+---
+Title: '.stackplot()'
+Description: 'Creates a stacked area plot to show how multiple datasets contribute cumulatively over time or categories.'
+Subjects:
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Charts'
+  - 'Matplotlib'
+  - 'Stacks'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.stackplot()`** method in Matplotlib creates stacked area plots (also known as stacked area charts) that display multiple datasets as vertically stacked areas. Each area represents the cumulative contribution of different categories to a total, making it ideal for visualizing proportional relationships as those relationships change over time.
+
+## Syntax
+
+```pseudo
+matplotlib.pyplot.stackplot(x, *args, labels=(), colors=None, hatch=None, baseline='zero', data=None, **kwargs)
+```
+
+**Parameters:**
+
+- `x`: Array-like. The x-coordinates of the data points.
+- `*args`: One or more array-like sequences representing the y-values for each stack layer.
+- `labels`: List of strings, optional. Labels for each stack layer (used in legends).
+- `colors`: List of colors or color specifications for each stack layer.
+- `hatch`: String or sequence, optional. Hatching patterns applied to the filled areas.
+- `baseline`: String, defines the baseline for stacking:
+  - `'zero'` (default): Stack from y = 0.
+  - `'sym'`: Symmetric stacking around zero.
+  - `'wiggle'`: Minimizes slope changes between layers.
+  - `'weighted_wiggle'`: Weighted version of the wiggle baseline.
+- `data`: Object with labeled data (e.g., dict or DataFrame). Optional data source.
+- `**kwargs`: Additional keyword arguments passed to `PolyCollection` (e.g., `alpha` for transparency).
+
+**Return value:**
+
+Returns a list of `PolyCollection` objects, one for each stack layer.
+
+## Example 1: Visualizing Monthly Sales by Category
+
+This example shows a stacked area chart of sales data across product categories over time:
+
+```py
+import matplotlib.pyplot as plt
+
+# Sample data
+months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
+electronics = [20, 25, 30, 28, 35, 40]
+clothing = [15, 18, 22, 25, 20, 30]
+books = [10, 12, 15, 18, 22, 25]
+
+# Create stacked area plot
+plt.stackplot(months, electronics, clothing, books,
+  labels=['Electronics', 'Clothing', 'Books'],
+  colors=['#ff9999', '#66b3ff', '#99ff99'],
+  alpha=0.8)
+
+plt.xlabel('Month')
+plt.ylabel('Sales (in thousands)')
+plt.title('Monthly Sales by Category')
+plt.legend(loc='upper left')
+plt.show()
+```
+
+This creates a stacked area chart where each colored area represents a product category's contribution to total sales:
+
+![Stackplot Example](https://raw.githubusercontent.com/Codecademy/docs/main/media/stackplot-example.png)
+
+## Example 2: Stacked Areas with Multiple Series
+
+This example demonstrates stacking multiple data series using numeric values:
+
+```py
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Create sample data
+x = [1, 2, 3, 4, 5]
+y1 = [1, 2, 3, 2, 1]
+y2 = [2, 3, 2, 4, 3]
+y3 = [1, 1, 2, 1, 2]
+
+# Create stackplot
+plt.stackplot(x, y1, y2, y3,
+  labels=['Series A', 'Series B', 'Series C'],
+  colors=['lightcoral', 'lightblue', 'lightgreen'],
+  alpha=0.8)
+
+plt.xlabel('X Values')
+plt.ylabel('Y Values')
+plt.title('Basic Stackplot Example')
+plt.legend(loc='upper left')
+plt.grid(True, alpha=0.3)
+plt.show()
+```
+
+This creates a basic stacked area plot with three data series, demonstrating the fundamental structure of stackplot visualizations:
+
+![Stackplot Example 2](https://raw.githubusercontent.com/Codecademy/docs/main/media/stackplot-example-2.png)
diff --git a/media/stackplot-example-2.png b/media/stackplot-example-2.png
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From cb4a6638e11dead0a550201808705773ee578860 Mon Sep 17 00:00:00 2001
From: Prakhar Sharma <prakharsharma_mc24b06_001@dtu.ac.in>
Date: Tue, 4 Nov 2025 12:39:53 +0530
Subject: [PATCH 322/332] [Term Entry] Python NumPy - ndarray: cumprod()

* cumprod.md

* refined the entire entry

* Minor changes

---------
---
 .../concepts/ndarray/terms/cumprod/cumprod.md | 117 ++++++++++++++++++
 1 file changed, 117 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/cumprod/cumprod.md

diff --git a/content/numpy/concepts/ndarray/terms/cumprod/cumprod.md b/content/numpy/concepts/ndarray/terms/cumprod/cumprod.md
new file mode 100644
index 00000000000..380084c1b55
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/cumprod/cumprod.md
@@ -0,0 +1,117 @@
+---
+Title: '.cumprod()'
+Description: 'Returns the cumulative product of array elements along a specified axis.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Linear Algebra'
+  - 'Matrices'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+In NumPy, the **`.cumprod()`** method returns the cumulative product of the array elements over a particular axis. This method belongs to the `ndarray` class.
+
+## Syntax
+
+```pseudo
+ndarray.cumprod(axis=None, dtype=None, out=None)
+```
+
+**Parameters:**
+
+- `axis` (optional): Axis along which the cumulative product is computed. The default (None) flattens the array.
+- `dtype` (optional): The data type of the output array. Useful when input elements are of smaller types and may overflow.
+- `out` (optional): An alternative output array where results will be stored. It must have the same shape as the expected output.
+
+**Return value:**
+
+Returns a new array that contains the cumulative product of elements along the specified axis. If `out` is provided, the result is placed into it.
+
+## Example 1: Cumulative Product of a 1D Array
+
+This example computes the cumulative product of all elements in a one-dimensional array:
+
+```py
+import numpy as np
+
+a = np.array([1, 2, 3, 4])
+print("Original array:", a)
+
+result = a.cumprod()
+print("Cumulative product:", result)
+```
+
+The output of this code is:
+
+```shell
+Original array: [1 2 3 4]
+Cumulative product: [ 1  2  6 24]
+```
+
+Each element in the output represents the product of all elements up to that index in the input array.
+
+## Example 2: Cumulative Product Along Different Axes
+
+This example shows how `.cumprod()` behaves when applied across rows and columns of a 2D array:
+
+```py
+import numpy as np
+
+b = np.array([[1, 2, 3],
+              [4, 5, 6]])
+
+print("Original array:")
+print(b)
+
+# Cumulative product along rows (axis=1)
+row_cumprod = b.cumprod(axis=1)
+print("\nCumulative product along rows (axis=1):")
+print(row_cumprod)
+
+# Cumulative product along columns (axis=0)
+col_cumprod = b.cumprod(axis=0)
+print("\nCumulative product along columns (axis=0):")
+print(col_cumprod)
+```
+
+The output of this code is:
+
+```shell
+Original array:
+[[1 2 3]
+ [4 5 6]]
+
+Cumulative product along rows (axis=1):
+[[  1   2   6]
+ [  4  20 120]]
+
+Cumulative product along columns (axis=0):
+[[ 1  2  3]
+ [ 4 10 18]]
+```
+
+- When `axis=1`, the cumulative product is computed across each row.
+- When `axis=0`, it’s computed down each column.
+
+## Codebyte Example
+
+Run this interactive example to experiment with `.cumprod()` on a 2D array:
+
+```codebyte/python
+import numpy as np
+
+a = np.array([[2, 3, 4],
+              [5, 6, 7]])
+
+print("Original array:")
+print(a)
+
+print("\nCumulative product (flattened):", a.cumprod())
+print("\nCumulative product along axis=0:\n", a.cumprod(axis=0))
+print("\nCumulative product along axis=1:\n", a.cumprod(axis=1))
+```

From df33a3af986a0849d07db9e3d63157efb0601e70 Mon Sep 17 00:00:00 2001
From: NeemaJoju <neemajoju96@gmail.com>
Date: Tue, 4 Nov 2025 08:20:09 +0100
Subject: [PATCH 323/332] [Term Entry] Python NumPy - ndarray: repeat()

* Added file on repeat

* minor content fixes

* Minor changes

---------
---
 .../concepts/ndarray/terms/repeat/repeat.md   | 80 +++++++++++++++++++
 1 file changed, 80 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/repeat/repeat.md

diff --git a/content/numpy/concepts/ndarray/terms/repeat/repeat.md b/content/numpy/concepts/ndarray/terms/repeat/repeat.md
new file mode 100644
index 00000000000..d89c1e50ea0
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/repeat/repeat.md
@@ -0,0 +1,80 @@
+---
+Title: '.repeat()'
+Description: 'Returns the repeated elements of an array.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Functions'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.repeat()`** method of a NumPy `ndarray` returns a new array where each element is repeated a specified number of times. It can repeat all elements in a flattened array or along a particular axis in multidimensional arrays.
+
+## Syntax
+
+```pseudo
+ndarray.repeat(repeats, axis=None)
+```
+
+**Parameters:**
+
+- `repeats`: Integer or array of integers. Specifies how many times each element should be repeated. If an array, it must match the length of the axis being repeated.
+- `axis` (Optional): The axis along which the values are to be repeated. If `None`, the array is flattened before repetition.
+
+**Return value:**
+
+A new array with repeated elements. The resulting shape depends on the `repeats` value and whether an axis is specified.
+
+## Example
+
+The following example creates an `ndarray`, then uses `.repeat()` to repeat the elements:
+
+```py
+import numpy as np
+
+a = np.array([1])
+print("a repeated:", a.repeat(3))
+
+b = np.array([[1,2],[5,6]])
+print("b repeated:", b.repeat(2))
+
+c = np.array([[1,2],[0,-1]])
+print("c repeated:", c.repeat(2,axis=0))
+```
+
+The above code generates the following output:
+
+```shell
+a repeated: [1 1 1]
+b repeated: [1 1 2 2 5 5 6 6]
+c repeated: [[ 1  2]
+ [ 1  2]
+ [ 0 -1]
+ [ 0 -1]]
+```
+
+## Codebyte Example
+
+Run the following codebyte example to understand the usage of the `.repeat()` method:
+
+```codebyte/python
+import numpy as np
+
+a = np.array([-8])
+print("a repeated 3 times:", a.repeat(3))
+
+b = np.array([[1, 2, -9], [5, 6, 0]])
+print("\nb repeated (flattened):", b.repeat(2))
+
+c = np.array([[7, 8], [9, -3]])
+print("\nc repeated along axis 1:\n", c.repeat(2, axis=1))
+
+d = np.array([[-1, 2], [0, -1]])
+print("\nd repeated 4 times (no axis):", d.repeat(4, axis=None))
+```

From ed00ec3e9840c2e6f255c29c94ed79a19b9e7949 Mon Sep 17 00:00:00 2001
From: Yuval Levental <yhl3051@g.rit.edu>
Date: Tue, 4 Nov 2025 04:23:19 -0500
Subject: [PATCH 324/332] [Term Entry] Python NumPy - ndarray: diagonal()

* docs: add numpy ndarray.diagonal() documentation

* Update diagonal.md

* Minor changes

---------
---
 .../ndarray/terms/diagonal/diagonal.md        | 165 ++++++++++++++++++
 1 file changed, 165 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/diagonal/diagonal.md

diff --git a/content/numpy/concepts/ndarray/terms/diagonal/diagonal.md b/content/numpy/concepts/ndarray/terms/diagonal/diagonal.md
new file mode 100644
index 00000000000..14a75d6f888
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/diagonal/diagonal.md
@@ -0,0 +1,165 @@
+---
+Title: '.diagonal()'
+Description: 'Returns the specified diagonal elements of an array.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Linear Algebra'
+  - 'Matrices'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.diagonal()`** method returns the specified diagonal elements of a NumPy array. For 2D arrays, the diagonal consists of elements where the row index equals the column index (or with an offset). For multi-dimensional arrays, the axes specified by `axis1` and `axis2` define the matrix dimensions from which to extract the diagonal.
+
+Unlike [`.trace()`](https://www.codecademy.com/resources/docs/numpy/ndarray/trace), which returns the sum of diagonal elements, `.diagonal()` returns the actual diagonal elements as an array. This method typically returns a view rather than a copy, making it memory-efficient for large arrays.
+
+## Syntax
+
+```pseudo
+ndarray.diagonal(offset=0, axis1=0, axis2=1)
+```
+
+**Parameters:**
+
+- `offset` (Optional): The diagonal offset from the main diagonal. A positive value selects a diagonal above the main diagonal, while a negative value selects one below. Default is `0` (main diagonal).
+- `axis1` (Optional): The axis to be used as the first axis of the 2D sub-arrays from which the diagonals should be taken. Default is `0`.
+- `axis2` (Optional): The axis to be used as the second axis of the 2D sub-arrays from which the diagonals should be taken. Default is `1`.
+
+**Return value:**
+
+Returns an array containing the diagonal elements. For 2D arrays, this is a 1D array. For higher-dimensional arrays, the result has one fewer dimension than the input.
+
+## Example 1: Extracting Diagonals from 2D and Rectangular Arrays
+
+This example demonstrates how to extract diagonals from both square and rectangular arrays using different `offset` values:
+
+```py
+import numpy as np
+
+# Create a 3×3 square array
+square = np.array([[1, 2, 3],
+                   [4, 5, 6],
+                   [7, 8, 9]])
+
+print("Square array:")
+print(square)
+
+print("\nMain diagonal:", square.diagonal())
+print("Upper diagonal (offset=1):", square.diagonal(offset=1))
+print("Lower diagonal (offset=-1):", square.diagonal(offset=-1))
+
+# Create a 4×3 rectangular array
+rectangular = np.array([[1, 2, 3],
+                        [4, 5, 6],
+                        [7, 8, 9],
+                        [10, 11, 12]])
+
+print("\nRectangular array:")
+print(rectangular)
+
+print("\nMain diagonal:", rectangular.diagonal())
+print("Upper diagonal (offset=1):", rectangular.diagonal(offset=1))
+print("Lower diagonal (offset=-2):", rectangular.diagonal(offset=-2))
+```
+
+The output produced by this code is:
+
+```shell
+Square array:
+[[1 2 3]
+ [4 5 6]
+ [7 8 9]]
+
+Main diagonal: [1 5 9]
+Upper diagonal (offset=1): [2 6]
+Lower diagonal (offset=-1): [4 8]
+
+Rectangular array:
+[[ 1  2  3]
+ [ 4  5  6]
+ [ 7  8  9]
+ [10 11 12]]
+
+Main diagonal: [1 5 9]
+Upper diagonal (offset=1): [2 6]
+Lower diagonal (offset=-2): [7 11]
+```
+
+For rectangular matrices, the diagonal length is determined by the smaller dimension, and different offsets extract parallel diagonals above or below the main one.
+
+## Example 2: Using `.diagonal()` with Multi-Dimensional Arrays
+
+This example demonstrates how to extract diagonals from higher-dimensional arrays by specifying axes:
+
+```py
+import numpy as np
+
+# Create a 3D array (2x3x3)
+array_3d = np.array([[[1, 2, 3], [4, 5, 6], [7, 8, 9]],
+                     [[10, 11, 12], [13, 14, 15], [16, 17, 18]]])
+print("3D array shape:", array_3d.shape)
+print("3D array:")
+print(array_3d)
+
+# Extract diagonal from the last two dimensions
+diag_default = array_3d.diagonal()
+print("\nDiagonal (axis1=0, axis2=1):")
+print(diag_default)
+
+# Extract diagonal with different axes
+diag_12 = array_3d.diagonal(axis1=1, axis2=2)
+print("\nDiagonal (axis1=1, axis2=2):")
+print(diag_12)
+```
+
+The output produced by this code is:
+
+```shell
+3D array shape: (2, 3, 3)
+3D array:
+[[[ 1  2  3]
+  [ 4  5  6]
+  [ 7  8  9]]
+
+ [[10 11 12]
+  [13 14 15]
+  [16 17 18]]]
+
+Diagonal (axis1=0, axis2=1):
+[[ 1 13]
+ [ 2 14]
+ [ 3 15]]
+
+Diagonal (axis1=1, axis2=2):
+[[ 1  5  9]
+ [10 14 18]]
+```
+
+For 3D arrays, `.diagonal()` extracts diagonal elements from 2D slices defined by the specified axes, resulting in an array with one fewer dimension.
+
+## Codebyte Example
+
+Run the following codebyte example to understand the usage of the `.diagonal()` method:
+
+```codebyte/python
+import numpy as np
+
+# Create a 4x4 matrix
+matrix = np.array([[1, 2, 3, 4],
+                   [5, 6, 7, 8],
+                   [9, 10, 11, 12],
+                   [13, 14, 15, 16]])
+print("Original matrix:")
+print(matrix)
+
+# Extract and display different diagonals
+print("\nMain diagonal:", matrix.diagonal())
+print("First upper diagonal:", matrix.diagonal(1))
+print("Second upper diagonal:", matrix.diagonal(2))
+print("First lower diagonal:", matrix.diagonal(-1))
+```

From 4af8cd20aa7305a631d36e9a826fcb8ede0e6610 Mon Sep 17 00:00:00 2001
From: zkatona <92223927+zka26@users.noreply.github.com>
Date: Tue, 4 Nov 2025 10:55:08 +0100
Subject: [PATCH 325/332] [Term Entry] PyTorch Tensor Operations: .remainder()

* Create remainder.md with initial content structure

Add remainder.md file with the term entry template.

* Add `.remainder()` term under PyTorch Tensor Operations.

This commit adds the .remainder() term under PyTorch Tensor Operations to the previously made remainder.md template at the following path: docs/content/pytorch/concepts/tensors/terms/remainder/remainder.md

Implements #7855

* Update remainder.md

* Minor changes

---------
---
 .../tensors/terms/remainder/remainder.md      | 108 ++++++++++++++++++
 1 file changed, 108 insertions(+)
 create mode 100644 content/pytorch/concepts/tensors/terms/remainder/remainder.md

diff --git a/content/pytorch/concepts/tensors/terms/remainder/remainder.md b/content/pytorch/concepts/tensors/terms/remainder/remainder.md
new file mode 100644
index 00000000000..6d847ef95f4
--- /dev/null
+++ b/content/pytorch/concepts/tensors/terms/remainder/remainder.md
@@ -0,0 +1,108 @@
+---
+Title: '.remainder()'
+Description: 'Computes the element-wise remainder of tensor division, where the result’s sign matches the divisor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'AI'
+  - 'Deep Learning'
+  - 'Functions'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'py-torch-for-classification'
+---
+
+In PyTorch, the **`.remainder()`** function computes the element-wise remainder of division between two tensors or between a tensor and a scalar. The result always has the same sign as the divisor, unlike `.fmod()`, which matches the sign of the dividend. This operation works with both integer and floating-point tensors.
+
+## Syntax
+
+```pseudo
+torch.remainder(input, other)
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor containing dividend values.
+- `other` (Tensor or Number): The divisor. It can be a scalar or another tensor of compatible shape.
+- `out` (Tensor, optional): The output tensor to store the result.
+
+**Return value:**
+
+Returns a tensor containing the element-wise remainder of the division.
+
+- If `other` is a scalar, the operation is applied using the same divisor for all elements.
+- If `other` is a tensor, element-wise division is performed.
+
+## Example 1: Divide a 1D Tensor by an Integer
+
+This example computes the remainder of each element in `x` when divided by 2, keeping the sign consistent with the divisor:
+
+```py
+import torch
+
+x = torch.tensor([-3, -4, -1, -6, 4, 7, 8])
+print(torch.remainder(x, 3))
+```
+
+The output of this code is:
+
+```shell
+tensor([0, 2, 2, 0, 1, 1, 2])
+```
+
+## Example 2: Divide a 2D Tensor by an Integer
+
+In this example, each negative number wraps around within the range `[0, 4)` since the remainder must match the divisor’s sign:
+
+```py
+import torch
+
+A = torch.tensor([[ 1,  2,  3],
+                  [-1, -2, -3]])
+print(torch.remainder(A, 4))
+```
+
+The output of this code is:
+
+```shell
+tensor([[1, 2, 3],
+        [3, 2, 1]])
+```
+
+## Example 3: Divide a Tensor by Another Tensor
+
+This example demonstrates element-wise remainder calculation between two tensors of the same shape:
+
+```py
+import torch
+
+num = torch.tensor([ 3, -3,  3, -3], dtype=torch.int32)
+den = torch.tensor([ 2,  2, -2, -2], dtype=torch.int32)
+print(torch.remainder(num, den))
+```
+
+The output of this code is:
+
+```shell
+tensor([ 1,  1, -1, -1])
+```
+
+> **Note:** If `input` and `other` don’t share the same shape, PyTorch tries automatic size expansion (broadcasting). Dimensions match when they’re equal or one of them is 1 (aligned from the right). If no match is possible, a size-mismatch error is raised.
+
+## Example 4: Divide a Floating-Point Tensor by a Number
+
+This example calculates remainders for floating-point values, preserving the sign of the divisor:
+
+```py
+import torch
+
+xf = torch.tensor([-7.5, 7.5, 5.0])
+print(torch.remainder(xf, 4.0))
+```
+
+The output of this code is:
+
+```shell
+tensor([0.5, 3.5, 1.0])
+```

From c695b341bdbd16b121fe6df4f3418e4c2694634e Mon Sep 17 00:00:00 2001
From: Anamol <44775373+AnamolR@users.noreply.github.com>
Date: Wed, 5 Nov 2025 08:45:08 +0000
Subject: [PATCH 326/332] [Term Entry] UI/UX UX Psychology: Postel's Law

* [Term Entry] Add Pastels Law

* Update: text edit

* fix formatting

* add examples of postel's law in practive

* consistent bullets and Postel's spelling fixed

* updated image for Postel's law

* Minor changes

---------
---
 .../terms/postels-law/postels-law.md          |  71 ++++++++++++++++++
 media/postels-law-input-flexibility.png       | Bin 0 -> 92849 bytes
 2 files changed, 71 insertions(+)
 create mode 100644 content/uiux/concepts/ux-psychology/terms/postels-law/postels-law.md
 create mode 100644 media/postels-law-input-flexibility.png

diff --git a/content/uiux/concepts/ux-psychology/terms/postels-law/postels-law.md b/content/uiux/concepts/ux-psychology/terms/postels-law/postels-law.md
new file mode 100644
index 00000000000..35267690ea4
--- /dev/null
+++ b/content/uiux/concepts/ux-psychology/terms/postels-law/postels-law.md
@@ -0,0 +1,71 @@
+---
+Title: 'Postel’s Law'
+Description: 'Postel’s Law, or the Robustness Principle, encourages flexible input handling while ensuring predictable output in UX design.'
+Subjects:
+  - 'Web Design'
+  - 'Web Development'
+Tags:
+  - 'Accessibility'
+  - 'Design'
+  - 'UX'
+CatalogContent:
+  - 'intro-to-ui-ux'
+  - 'paths/front-end-engineer-career-path'
+---
+
+**Postel's Law**, also called the Robustness Principle, originates from internet protocol design and is summarized as:
+
+> "Be liberal in what you accept, and conservative in what you send." — Jon Postel
+
+While originally intended for software protocols, this principle is widely applicable to _UX design_. It encourages flexibility and forgiveness in how systems handle user input, while still delivering predictable, high-quality output. It is especially important in forms, input validation, error handling, and accessibility.
+
+## What It Means in UX
+
+In UX, Postel's Law urges designers to:
+
+- Accommodate varied user input formats and behaviors.
+- Handle edge cases gracefully rather than failing rigidly.
+- Provide consistent, accessible feedback without demanding perfection from the user.
+
+This principle reduces user frustration by allowing users to complete tasks even when their input is not perfect — supporting a more forgiving, human-centered experience.
+
+## Benefits of Postel's Law
+
+- **Increased usability and task success rates:** Flexible input handling prevents user errors from turning into blockers.
+- **Greater inclusivity and accessibility:** Supporting different patterns of interaction helps users with diverse needs and tools.
+- **Stronger resilience in edge cases:** Systems are less likely to crash or behave unexpectedly under unusual input conditions.
+- **Higher trust in the interface:** When users feel understood and supported, they're more likely to engage fully with a product.
+
+## When and Where to Apply Postel's Law
+
+Postel's Law is especially useful when:
+
+- **Designing forms or search bars:** Let users enter phone numbers with or without dashes, spaces, or country codes and still validate successfully.
+- **Handling user errors or mistyped data:** Allow minor spelling errors in search fields and suggest corrections instead of showing zero results.
+- **Designing multi-platform interactions:** Recognize inputs from different devices (e.g. touch, keyboard, voice) without rigid expectations.
+- **Building accessible interactions:** Ensure that screen readers, keyboard navigation, and alternate input methods receive appropriate, predictable responses.
+
+## How to Apply It in UX Design
+
+- **Support multiple input formats:** Whether it is date fields, email formats, or file names, accept a range of input styles and normalize them behind the scenes.
+- **Add real-time validation and correction:** Guide users gently with hints or auto-formatting instead of stopping them with hard errors.
+- **Make defaults and fallbacks work intelligently:** If input is missing or incorrect, offer smart defaults or safe assumptions to keep users moving forward.
+- **Use clear, non-blaming error messages:** Errors should inform, not shame. Make recovery easy and empathetic.
+- **Avoid punishing unexpected behavior:** Always consider how your system should respond to unusual but still valid input, and aim for graceful degradation.
+
+![Diagram showing search engine input into multiple suggestive outputs](https://raw.githubusercontent.com/Codecademy/docs/main/media/postels-law-input-flexibility.png)
+
+## Limitations of the Principle
+
+- **Overly liberal input handling can hide issues or create security concerns:** For example, accepting any format without validation can increase the risk of incorrect or malicious input.
+- **Too much flexibility can reduce learnability:** Users may not know what to expect or how to interact consistently if there are no boundaries.
+- **It should never compromise clarity or control:** Flexibility should support users — not confuse them.
+
+## Examples of Postel’s Law in Practice
+
+- **Search bars that autocorrect typos or suggest queries:** Instead of showing “no results,” the system interprets the user’s intent and offers relevant alternatives.
+- **Date inputs that accept multiple formats:** Fields that let users type “August 27,” “27/08/2025,” or “08-27-25” without error.
+- **Phone number fields that strip spaces or symbols:** Systems that normalize input like “(123) 456-7890” into a clean format instead of blocking it.
+- **Form validation that corrects capitalization or spacing errors:** Automatically formatting names or addresses while still accepting varied input.
+- **E-commerce checkouts that accept minor address variations:** Matching “Street” with “St.” or recognizing mistyped zip codes to assist in delivery.
+- **Search filters that don’t break with wrong case or punctuation:** Recognizing that “UX Design” and “ux design” are the same for query purposes.
diff --git a/media/postels-law-input-flexibility.png b/media/postels-law-input-flexibility.png
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From 7f9dd7d108c6b110a1ab39260d7b3108f6d192c3 Mon Sep 17 00:00:00 2001
From: Steve Johnson <stephen.michael.johnson@gmail.com>
Date: Wed, 5 Nov 2025 03:58:32 -0500
Subject: [PATCH 327/332] [Term Entry] Python functools: total_ordering()

* Term entry for total_ordering class decorator under the functools module. Also, recommending adding Python to Subjects and Class Decorator to tags.

* content fixes

* Minor changes

---------
---
 .../terms/total-ordering/total-ordering.md    | 131 ++++++++++++++++++
 1 file changed, 131 insertions(+)
 create mode 100644 content/python/concepts/functools-module/terms/total-ordering/total-ordering.md

diff --git a/content/python/concepts/functools-module/terms/total-ordering/total-ordering.md b/content/python/concepts/functools-module/terms/total-ordering/total-ordering.md
new file mode 100644
index 00000000000..afbed3a2abd
--- /dev/null
+++ b/content/python/concepts/functools-module/terms/total-ordering/total-ordering.md
@@ -0,0 +1,131 @@
+---
+Title: 'total_ordering()'
+Description: 'Generates missing comparison methods in a class based on a minimal set of defined ones.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Classes'
+  - 'Modules'
+  - 'Python'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In Python, the **`total_ordering()`** decorator from the `functools` module simplifies the creation of fully ordered classes. By defining the `__eq__()` method and one additional comparison method (`__lt__()`, `__le__()`, `__gt__()`, or `__ge__()`), all other rich comparison methods are automatically generated.
+
+This decorator reduces redundant code in custom classes that require complete ordering behavior for comparisons, sorting, and equality checks.
+
+## Syntax
+
+```pseudo
+from functools import total_ordering
+
+@total_ordering
+class ClassName:
+  def __eq__(self, other): ...
+  def __lt__(self, other): ...
+```
+
+**Parameters:**
+
+The `total_ordering()` decorator takes no parameters.
+
+**Return value:**
+
+Returns a class with the missing comparison methods (`__le__`, `__gt__`, and `__ge__`) automatically added.
+
+## Example 1: Numeric Wrapper Class
+
+The following example defines a class that compares wrapped numeric values. Only `__eq__()` and `__lt__()` are implemented; the rest are generated automatically:
+
+```py
+from functools import total_ordering
+
+@total_ordering
+class Number:
+  def __init__(self, value):
+    self.value = value
+
+  def __eq__(self, other):
+    return self.value == other.value
+
+  def __lt__(self, other):
+    return self.value < other.value
+
+print(Number(3) < Number(4))
+print(Number(5) >= Number(5))
+print(Number(7) > Number(1))
+```
+
+The outout of this code is:
+
+```shell
+True
+True
+True
+```
+
+## Example 2: Ordering Strings by Length
+
+This example demonstrates ordering based on string length instead of direct string comparison:
+
+```py
+from functools import total_ordering
+
+@total_ordering
+class Word:
+  def __init__(self, text):
+    self.text = text
+
+  def __eq__(self, other):
+    return len(self.text) == len(other.text)
+
+  def __lt__(self, other):
+    return len(self.text) < len(other.text)
+
+print(Word("apple") < Word("banana"))
+print(Word("kiwi") == Word("pear"))
+print(Word("grape") > Word("fig"))
+```
+
+The output of this code is:
+
+```shell
+True
+True
+True
+```
+
+## Codebyte Example: Prioritizing Tasks
+
+The following codebyte defines a class where objects are ordered by priority value:
+
+```codebyte/python
+from functools import total_ordering
+
+@total_ordering
+class Task:
+  def __init__(self, name, priority):
+    self.name = name
+    self.priority = priority
+
+  def __eq__(self, other):
+    return self.priority == other.priority
+
+  def __lt__(self, other):
+    return self.priority > other.priority
+
+tasks = [
+  Task("Write report", 2),
+  Task("Fix bugs", 5),
+  Task("Plan sprint", 3)
+]
+
+tasks.sort()
+for t in tasks:
+  print(t.name, t.priority)
+```
+
+Higher priority numbers are treated as greater for sorting purposes.

From 89a9d6dc17e8b492c27cdc9cd3edf21a7fda219b Mon Sep 17 00:00:00 2001
From: Victor Teppeh <victorteppeh233@gmail.com>
Date: Wed, 5 Nov 2025 09:15:05 +0000
Subject: [PATCH 328/332] [Term Entry] Python NumPy - ndarray: ndim

* add .ndim docs to python numpy array (#7821)

* add a new term entry for NumPy- ndarray.ndim(#7821)

* Update ndim.md examples

* Update ndim.md

* Minor changes

---------
---
 .../numpy/concepts/ndarray/terms/ndim/ndim.md | 75 +++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 content/numpy/concepts/ndarray/terms/ndim/ndim.md

diff --git a/content/numpy/concepts/ndarray/terms/ndim/ndim.md b/content/numpy/concepts/ndarray/terms/ndim/ndim.md
new file mode 100644
index 00000000000..882fd3b186e
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/ndim/ndim.md
@@ -0,0 +1,75 @@
+---
+Title: 'ndim'
+Description: 'Returns the number of dimensions (axes) of a NumPy array.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Attributes'
+  - 'NumPy'
+  - 'Shape'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`ndim`** attribute returns the total number of dimensions (axes) of a NumPy array. A 1D array acts like a list, a 2D array forms a matrix, and higher dimensions represent tensors which are common in data science and machine learning.
+
+## Syntax
+
+```pseudo
+ndarray.ndim
+```
+
+**Parameters:**
+
+The `ndim` attribute takes no parameters.
+
+**Return value:**
+
+Returns an integer representing the number of array dimensions (axes).
+
+## Example: Checking Dimensions of Different Arrays
+
+This example demonstrates how `ndim` behaves for 0D (scalar), 1D (list), and 2D (matrix) arrays:
+
+```py
+import numpy as np
+
+# 0D array (scalar)
+arr_0d = np.array(50)
+print("0D array:", arr_0d, "| Dimensions:", arr_0d.ndim)
+
+# 1D array (list)
+arr_1d = np.array([1, 2, 3, 4, 5])
+print("1D array:", arr_1d, "| Dimensions:", arr_1d.ndim)
+
+# 2D array (matrix)
+arr_2d = np.array([[1, 2, 3], [4, 5, 6]])
+print("2D array:\n", arr_2d, "\nDimensions:", arr_2d.ndim)
+```
+
+The output of this code is:
+
+```shell
+0D array: 50 | Dimensions: 0
+1D array: [1 2 3 4 5] | Dimensions: 1
+2D array:
+ [[1 2 3]
+ [4 5 6]]
+Dimensions: 2
+```
+
+## Codebyte Example: Using `ndim` in a NumPy Operation
+
+In this example, `ndim` is used to identify the number of dimensions in different types of image data like grayscale (2D) and color (3D):
+
+```codebyte/python
+import numpy as np
+
+arr_a = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
+
+# Print the array and its number of dimensions
+print(f"array: {arr_a}, number of dimensions: {arr_a.ndim}")
+```

From 645c9a955ec5bede16946e17374c0b50e09be583 Mon Sep 17 00:00:00 2001
From: Rupa <102663541+Rupa-Rd@users.noreply.github.com>
Date: Wed, 5 Nov 2025 16:16:17 +0530
Subject: [PATCH 329/332] Added term for `.pow()` in pytorch. (#7929)

* Added term for `.pow()` in pytorch.

* Update pow.md

---------
---
 .../tensor-operations/terms/pow/pow.md        | 57 +++++++++++++++++++
 1 file changed, 57 insertions(+)
 create mode 100644 content/pytorch/concepts/tensor-operations/terms/pow/pow.md

diff --git a/content/pytorch/concepts/tensor-operations/terms/pow/pow.md b/content/pytorch/concepts/tensor-operations/terms/pow/pow.md
new file mode 100644
index 00000000000..1e376ab6fd6
--- /dev/null
+++ b/content/pytorch/concepts/tensor-operations/terms/pow/pow.md
@@ -0,0 +1,57 @@
+---
+Title: '.pow()'
+Description: 'Raises each element of the input tensor to the specified power and returns a new tensor with the computed values.'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Elements'
+  - 'Methods'
+  - 'PyTorch'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.pow()`** method in PyTorch computes the power of each [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors) element by raising it to a specified exponent.
+
+## Syntax
+
+```pseudo
+torch.pow(input, exponent, *, out=None)
+```
+
+**Parameters:**
+
+- `input`: The input tensor whose elements are to be raised to a power.
+- `exponent`: The exponent value(s). If a tensor, it must be broadcastable to the shape of `input`.
+- `out` (Optional): A tensor to store the output. If provided, it must have the same shape as `input`.
+
+**Return value:**
+
+Returns a new tensor containing the element-wise results of raising each input element to the specified power.
+
+## Example
+
+The following example demonstrates the usage of the `.pow()` function:
+
+```py
+import torch
+
+# Define a tensor
+input_tensor = torch.tensor([1.0, 0.5, 3.0, 5.5, 11.0])
+
+# Compute the exponent of each element in the input tensor
+output_tensor = torch.pow(input_tensor, 3)
+
+# Print the resultant tensor
+print(output_tensor)
+```
+
+The above code produces the following output:
+
+```shell
+tensor([1.0000e+00, 1.2500e-01, 2.7000e+01, 1.6638e+02, 1.3310e+03])
+```

From 99c97bbe4169e07edf3246613ebc453acf5edd0b Mon Sep 17 00:00:00 2001
From: Rishabh Ranjan Singh <rishabhrsingh19@gmail.com>
Date: Wed, 5 Nov 2025 21:54:48 +0530
Subject: [PATCH 330/332] [Term Entry] Python binascii-module: .crc_hqx()

* docs: Add Python binascii.crc_hqx() term entry (#7733)

* content changes

* Minor changes

---------
---
 .../binascii-module/terms/crc-hqx/crc-hqx.md  | 76 +++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 content/python/concepts/binascii-module/terms/crc-hqx/crc-hqx.md

diff --git a/content/python/concepts/binascii-module/terms/crc-hqx/crc-hqx.md b/content/python/concepts/binascii-module/terms/crc-hqx/crc-hqx.md
new file mode 100644
index 00000000000..277ccd41119
--- /dev/null
+++ b/content/python/concepts/binascii-module/terms/crc-hqx/crc-hqx.md
@@ -0,0 +1,76 @@
+---
+Title: '.crc_hqx()'
+Description: 'Computes a 16-bit CRC (CRC-CCITT) checksum of binary data using the CRC-HQX algorithm.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Algorithms'
+  - 'Functions'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.crc_hqx()`** function in Python’s built-in `binascii` module computes a 16-bit Cyclic Redundancy Check (CRC) value using the CRC-HQX algorithm, commonly used in the original Mac OS.
+
+This checksum helps detect errors in data transmission or storage by verifying that the received data matches the original data.
+
+## Syntax
+
+```pseudo
+binascii.crc_hqx(data, value)
+```
+
+**Parameters:**
+
+- `data` (bytes-like object): The binary data for which the CRC value is computed.
+- `value` (integer): An optional 16-bit starting value for the checksum calculation. If omitted, the initial value is `0`.
+
+**Return value:**
+
+Returns a 16-bit integer representing the computed CRC checksum of the input data, according to the CRC-HQX algorithm.
+
+## Example
+
+In this example, the checksum is computed for a byte string, once with a non-zero starting value and once with an initial value of `0`:
+
+```py
+import binascii
+
+data = b"Codecademy Docs"
+initial_crc = 0xAAAA # A common non-zero starting value
+
+# 1. Compute CRC with a starting value (0xAAAA)
+crc_with_initial = binascii.crc_hqx(data, initial_crc)
+
+# 2. Compute CRC starting from 0
+crc_without_initial = binascii.crc_hqx(data, 0)
+
+print(f"Data: {data!r}")
+print(f"CRC (with initial value 0xAAAA): 0x{crc_with_initial:04x}")
+print(f"CRC (starting from 0): 0x{crc_without_initial:04x}")
+```
+
+The output of this code is:
+
+```shell
+Data: b'Codecademy Docs'
+CRC (with initial value 0xAAAA): 0x134c
+CRC (starting from 0): 0x67ce
+```
+
+## Codebyte Example
+
+This example below computes the CRC-HQX checksum for a byte string using a starting value of `0`:
+
+```codebyte/python
+import binascii
+
+data_to_check = b"Python Contributor"
+
+# Calculate the CRC-HQX checksum starting from 0
+checksum = binascii.crc_hqx(data_to_check, 0)
+
+print(f"Checksum: 0x{checksum:04x}")
+```

From dacd0225af2a3f33bbe0a3ccb7784b91bf494695 Mon Sep 17 00:00:00 2001
From: TukansTucis <84662804+TukansTucis@users.noreply.github.com>
Date: Wed, 5 Nov 2025 18:34:22 +0200
Subject: [PATCH 331/332] [Edit] HTML Elements: <h1>-<h6>

* Fix closing tag for h1 element in markdown

Original:<h1>Title of the Page</h2>
Fixed to:<h1>Title of the Page</h1>

* Update h1-h6.md

* Fix formatting

---------
---
 content/html/concepts/elements/terms/h1-h6/h1-h6.md | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/content/html/concepts/elements/terms/h1-h6/h1-h6.md b/content/html/concepts/elements/terms/h1-h6/h1-h6.md
index 2cd691852f4..7c609979d3b 100644
--- a/content/html/concepts/elements/terms/h1-h6/h1-h6.md
+++ b/content/html/concepts/elements/terms/h1-h6/h1-h6.md
@@ -28,11 +28,9 @@ The **`<h_>`** elements represent text headings for sections of content. They ra
 
 ```html
 <html>
-  <head>
-  </head>
+  <head> </head>
   <body>
-    <h1>Title of the Page</h2>
-
+    <h1>Title of the Page</h1>
     <h2>Name of First Section</h2>
     <p>Text from first section.</p>
 

From 3b7f16f222817944509d5a611d2436c01af8f7ec Mon Sep 17 00:00:00 2001
From: codecademydev <dev@codecademy.com>
Date: Sun, 9 Nov 2025 13:10:52 +0000
Subject: [PATCH 332/332] =?UTF-8?q?=F0=9F=A4=96=20update=20concept=20of=20?=
 =?UTF-8?q?the=20week?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 bin/concept-of-the-week.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/bin/concept-of-the-week.txt b/bin/concept-of-the-week.txt
index ec933ede130..b3d050012e6 100644
--- a/bin/concept-of-the-week.txt
+++ b/bin/concept-of-the-week.txt
@@ -1 +1 @@
-content/kotlin/concepts/operators/operators.md
\ No newline at end of file
+content/java/concepts/printwriter/printwriter.md
\ No newline at end of file