diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml new file mode 100644 index 000000000..a9ccc188b --- /dev/null +++ b/.github/FUNDING.yml @@ -0,0 +1,3 @@ +github: [Asabeneh] +thanks_dev: +custom: [] diff --git a/.gitignore b/.gitignore index bd49bee46..e9c3c9a5d 100644 --- a/.gitignore +++ b/.gitignore @@ -16,4 +16,6 @@ flask_project/venv/include/ flask_project/ven/lib numpy.ipynb .ipynb_checkpoints -.vscode/ \ No newline at end of file +.vscode/ +*~ +test.py \ No newline at end of file diff --git a/01_Day_Introduction/helloworld.py b/01_Day_Introduction/helloworld.py index 00f6cb346..d8007868f 100644 --- a/01_Day_Introduction/helloworld.py +++ b/01_Day_Introduction/helloworld.py @@ -1,9 +1,14 @@ - +# Introduction # Day 1 - 30DaysOfPython Challenge +print("Hello World!") # print hello world + print(2 + 3) # addition(+) print(3 - 1) # subtraction(-) print(2 * 3) # multiplication(*) +print(3 + 2) # addition(+) +print(3 - 2) # subtraction(-) +print(3 * 2) # multiplication(*) print(3 / 2) # division(/) print(3 ** 2) # exponential(**) print(3 % 2) # modulus(%) @@ -16,5 +21,5 @@ print(type(1 + 3j)) # Complex print(type('Asabeneh')) # String print(type([1, 2, 3])) # List -print(type({'name':'Asabeneh'})) # Dictionary -print(type({9.8, 3.14, 2.7})) # Tuple \ No newline at end of file +print(type({'name': 'Asabeneh'})) # Dictionary +print(type({9.8, 3.14, 2.7})) # Tuple diff --git a/02_Day_Variables/02_variables.md b/02_Day_Variables_builtin_functions/02_variables_builtin_functions.md similarity index 52% rename from 02_Day_Variables/02_variables.md rename to 02_Day_Variables_builtin_functions/02_variables_builtin_functions.md index 2445b7372..722edb3ad 100644 --- a/02_Day_Variables/02_variables.md +++ b/02_Day_Variables_builtin_functions/02_variables_builtin_functions.md @@ -1,5 +1,5 @@
-

30 Days Of Python: Day 2 - Variables

+

30 Days Of Python: Day 2 - Variables, Builtin Functions

@@ -9,60 +9,61 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021
- - - [<< Day 1](../readme.md) | [Day 3 >>](../03_Day_Operators/03_operators.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 2](#%f0%9f%93%98-day-2) +- [📘 Day 2](#-day-2) - [Built in functions](#built-in-functions) - [Variables](#variables) + - [Declaring Multiple Variable in a Line](#declaring-multiple-variable-in-a-line) - [Data Types](#data-types) - [Checking Data types and Casting](#checking-data-types-and-casting) - [Numbers](#numbers) - - [💻 Exercises - Day 2](#%f0%9f%92%bb-exercises---day-2) + - [💻 Exercises - Day 2](#-exercises---day-2) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) # 📘 Day 2 ## Built in functions -In python we have lots of built-in functions. Built-in functions are globally available for your use. Some of the most commonly used python built-in functions are the following: _print()_, _len()_, _type()_, _int()_, _float()_, _str()_, _input()_, _list()_, _dict()_, _min()_, _max()_, _sum()_, _sorted()_, _open()_, _file()_, _help()_, and _dir()_. In the following table you will see an exhaustive list of python built-in functions taken from [python documentation](https://docs.python.org/2/library/functions.html). +In Python we have lots of built-in functions. Built-in functions are globally available for your use that mean you can make use of the built-in functions without importing or configuring. Some of the most commonly used Python built-in functions are the following: _print()_, _len()_, _type()_, _int()_, _float()_, _str()_, _input()_, _list()_, _dict()_, _min()_, _max()_, _sum()_, _sorted()_, _open()_, _file()_, _help()_, and _dir()_. In the following table you will see an exhaustive list of Python built-in functions taken from [python documentation](https://docs.python.org/3/library/functions.html). ![Built-in Functions](../images/builtin-functions.png) -Let's open the python shell and start using some of the most common built-in functions. +Let us open the Python shell and start using some of the most common built-in functions. ![Built-in functions](../images/builtin-functions_practice.png) -Let's practice more by using different built-in functions +Let us practice more by using different built-in functions ![Help and Dir Built in Functions](../images/help_and_dir_builtin.png) -As you can see from the terminal above, python has got reserved words. We do not use reserved words to declare variables or functions. We will cover variables in the next section. +As you can see from the terminal above, Python has got reserved words. We do not use reserved words to declare variables or functions. We will cover variables in the next section. -I believe, by now you are familiar with built-in functions. Let's do one more practice of built-in functions and we will move on to the next section +I believe, by now you are familiar with built-in functions. Let us do one more practice of built-in functions and we will move on to the next section. ![Min Max Sum](../images/builtin-functional-final.png) ## Variables -Variables store data in a computer memory. Mnemonic variables are recommended to use in many programming languages. A variable refers to a memory address in which data is stored. -Number at the beginning, special character, hyphen are not allowed when naming them. A variable can have a short name (like x,y,z), but a more descriptive name (firstname, lastname, age, country) is highly recommended. +Variables store data in a computer memory. Mnemonic variables are recommended to use in many programming languages. A mnemonic variable is a variable name that can be easily remembered and associated. A variable refers to a memory address in which data is stored. +Number at the beginning, special character, hyphen are not allowed when naming a variable. A variable can have a short name (like x, y, z), but a more descriptive name (firstname, lastname, age, country) is highly recommended. + Python Variable Name Rules - A variable name must start with a letter or the underscore character - A variable name 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 (firstname, Firstname, FirstName and FIRSTNAME are different variables) +- Variable names are case-sensitive (firstname, Firstname, FirstName and FIRSTNAME) are different variables) -Valid variable names +Here are some example of valid variable names: ```shell firstname @@ -74,9 +75,10 @@ first_name last_name capital_city _if # if we want to use reserved word as a variable -year_2019 -year2019 -current_year_2019 +year_2021 +year2021 +current_year_2021 +birth_year num1 num2 ``` @@ -85,19 +87,20 @@ Invalid variables names ```shell first-name +first@name +first$name num-1 1num ``` -We will use standard python variable naming style which has been adopted by many python developers. The example below is an example of standard naming of variables, underscore when the variable name is long. +We will use standard Python variable naming style which has been adopted by many Python developers. Python developers use snake case(snake_case) variable naming convention. We use underscore character after each word for a variable containing more than one word(eg. first_name, last_name, engine_rotation_speed). The example below is an example of standard naming of variables, underscore is required when the variable name is more than one word. -When we assign a certain data type to a variable, it is called variable declaration. For instance in the example below my first name is assigned to a variable first_name. The equal sign is an assignment operator. Assigning means storing data in the variable. +When we assign a certain data type to a variable, it is called variable declaration. For instance in the example below my first name is assigned to a variable first_name. The equal sign is an assignment operator. Assigning means storing data in the variable. The equal sign in Python is not equality as in Mathematics. _Example:_ ```py # Variables in Python - first_name = 'Asabeneh' last_name = 'Yetayeh' country = 'Finland' @@ -113,17 +116,17 @@ person_info = { } ``` -Let's use _print()_ and _len()_ built in functions. Print function will take multiple arguments. An argument is a value which we pass or put inside the function parenthesis, see the example below. +Let us use the _print()_ and _len()_ built-in functions. Print function takes unlimited number of arguments. An argument is a value which we can be passed or put inside the function parenthesis, see the example below. **Example:** ```py -print('Hello, World!') -print('Hello',',', 'World','!') # it can take multiple arguments +print('Hello, World!') # The text Hello, World! is an argument +print('Hello',',', 'World','!') # it can take multiple arguments, four arguments have been passed print(len('Hello, World!')) # it takes only one argument ``` -Let's print and also find the length of the variables declared at the top: +Let us print and also find the length of the variables declared at the top: **Example:** @@ -142,7 +145,9 @@ print('Skills: ', skills) print('Person information: ', person_info) ``` -Variables can also be declared in one line: +### Declaring Multiple Variable in a Line + +Multiple variables can also be declared in one line: **Example:** @@ -157,7 +162,7 @@ print('Age: ', age) print('Married: ', is_married) ``` -Getting user input using the _input()_ built-in function. Let's assign the data we get from a user into first_name and age variables. +Getting user input using the _input()_ built-in function. Let us assign the data we get from a user into first_name and age variables. **Example:** ```py @@ -170,12 +175,12 @@ print(age) ## Data Types -There are several data types in python. To identify the data type we use the _type_ builtin function. I would like you to focus on understanding different data types very well. When it comes to programming, it is all about data types. I introduced data types at the very beginning and it comes again, because every topic is related to data types. We will cover data types in more detail in their respective sections. +There are several data types in Python. To identify the data type we use the _type_ built-in function. I would like to ask you to focus on understanding different data types very well. When it comes to programming, it is all about data types. I introduced data types at the very beginning and it comes again, because every topic is related to data types. We will cover data types in more detail in their respective sections. ## Checking Data types and Casting - Check Data types: To check the data type of certain data/variable we use the _type_ - **Example:** + **Examples:** ```py # Different python data types @@ -188,32 +193,31 @@ city= 'Helsinki' # str age = 250 # int, it is not my real age, don't worry about it # Printing out types -print(type('Asabeneh')) # str -print(type(first_name)) # str -print(type(10)) # int -print(type(3.14)) # float -print(type(1 + 1j)) # complex -print(type(True)) # bool -print(type([1, 2,3,4])) # list -print(type({'name':'Asabeneh','age':250, 'is_married':250})) # dict -print(type((1,2))) # tuple -print(type(zip([1,2],[3,4]))) # set +print(type('Asabeneh')) # str +print(type(first_name)) # str +print(type(10)) # int +print(type(3.14)) # float +print(type(1 + 1j)) # complex +print(type(True)) # bool +print(type([1, 2, 3, 4])) # list +print(type({'name':'Asabeneh'})) # dict +print(type((1,2))) # tuple +print(type(zip([1,2],[3,4]))) # zip ``` -- Casting: Converting one data type to another data type. We use _int()_, _float()_, _str()_, _list_ - When we do arithmetic operations string numbers should be first converted to int or float otherwise it will return an error. If we concatenate a number with string, the number should be first converted to a string. We will talk about concatenation in String section. - **Example:** +- Casting: Converting one data type to another data type. We use _int()_, _float()_, _str()_, _list_, _set_ + When we do arithmetic operations string numbers should be first converted to int or float otherwise it will return an error. If we concatenate a number with a string, the number should be first converted to a string. We will talk about concatenation in String section. + + **Examples:** ```py # int to float - num_int = 10 print('num_int',num_int) # 10 num_float = float(num_int) print('num_float:', num_float) # 10.0 # float to int - gravity = 9.81 print(int(gravity)) # 9 @@ -223,22 +227,25 @@ print(num_int) # 10 num_str = str(num_int) print(num_str) # '10' -# str to int +# str to int or float num_str = '10.6' +num_float = float(num_str) # Convert the string to a float first +num_int = int(num_float) # Then convert the float to an integer print('num_int', int(num_str)) # 10 print('num_float', float(num_str)) # 10.6 +num_int = int(num_float) +print('num_int', int(num_int)) # 10 # str to list -first = 'Asabeneh' -print(first_name) -print(first_name) # 'Asabeneh' +first_name = 'Asabeneh' +print(first_name) # 'Asabeneh' first_name_to_list = list(first_name) print(first_name_to_list) # ['A', 's', 'a', 'b', 'e', 'n', 'e', 'h'] ``` ## Numbers -Number data types in python: +Number data types in Python: 1. Integers: Integer(negative, zero and positive) numbers Example: @@ -252,8 +259,12 @@ Number data types in python: Example: 1 + j, 2 + 4j, 1 - 1j +🌕 You are awesome. You have just completed day 2 challenges and you are two steps ahead on your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises - Day 2 +### Exercises: Level 1 + 1. Inside 30DaysOfPython create a folder called day_2. Inside this folder create a file named variables.py 2. Write a python comment saying 'Day 2: 30 Days of python programming' 3. Declare a first name variable and assign a value to it @@ -267,23 +278,26 @@ Number data types in python: 11. Declare a variable is_true and assign a value to it 12. Declare a variable is_light_on and assign a value to it 13. Declare multiple variable on one line -14. Check the data type of all your variables using type() built-in function -15. Using the _len()_ built-in function find the length of your first name -16. Compare the length of your first name and your last name -17. Declare 5 as num_one and 4 as num_two - 1. Add num_one and num_two and assign the value to a variable \_total - 2. Subtract num_two from num_one and assign the value to a variable \_diff - 3. Multiply num_two and num_one and assign the value to a variable \_product - 4. Divide num_one by num_two and assign the value to a variable \_division - 5. Use modulus division to find num_two divided by num_one and assign the value to a variable \_remainder - 6. Calculate num_one to the power of num_two and assign the value to a variable \_exp - 7. Find floor division of num_one by num_two and assign the value to a variable \_floor_division -18. The radius of a circle is 30 meters. - 1. Calculate the area of a circle and assign the value to a variable _area_of_circle_ - 2. Calculate the circumference of a circle and assign the value to a variable _circum_of_circle_ + +### Exercises: Level 2 + +1. Check the data type of all your variables using type() built-in function +2. Using the _len()_ built-in function, find the length of your first name +3. Compare the length of your first name and your last name +4. Declare 5 as num_one and 4 as num_two +5. Add num_one and num_two and assign the value to a variable total +6. Subtract num_two from num_one and assign the value to a variable diff +7. Multiply num_two and num_one and assign the value to a variable product +8. Divide num_one by num_two and assign the value to a variable division +9. Use modulus division to find num_two divided by num_one and assign the value to a variable remainder +10. Calculate num_one to the power of num_two and assign the value to a variable exp +11. Find floor division of num_one by num_two and assign the value to a variable floor_division +12. The radius of a circle is 30 meters. + 1. Calculate the area of a circle and assign the value to a variable name of _area_of_circle_ + 2. Calculate the circumference of a circle and assign the value to a variable name of _circum_of_circle_ 3. Take radius as user input and calculate the area. -19. Use the built-in input function to get first name, last name, country and age from a user and store the value to their corresponding variable names -20. Run help('keywords') in python shell or in your file to check for the reserved words +13. Use the built-in input function to get first name, last name, country and age from a user and store the value to their corresponding variable names +14. Run help('keywords') in Python shell or in your file to check for the Python reserved words or keywords 🎉 CONGRATULATIONS ! 🎉 diff --git a/02_Day_Variables_builtin_functions/variables.py b/02_Day_Variables_builtin_functions/variables.py new file mode 100644 index 000000000..bb5c28037 --- /dev/null +++ b/02_Day_Variables_builtin_functions/variables.py @@ -0,0 +1,40 @@ + +# Variables in Python + +first_name = 'Asabeneh' +last_name = 'Yetayeh' +country = 'Finland' +city = 'Helsinki' +age = 250 +is_married = True +skills = ['HTML', 'CSS', 'JS', 'React', 'Python'] +person_info = { + 'firstname': 'Asabeneh', + 'lastname': 'Yetayeh', + 'country': 'Finland', + 'city': 'Helsinki' +} + +# Printing the values stored in the variables + +print('First name:', first_name) +print('First name length:', len(first_name)) +print('Last name: ', last_name) +print('Last name length: ', len(last_name)) +print('Country: ', country) +print('City: ', city) +print('Age: ', age) +print('Married: ', is_married) +print('Skills: ', skills) +print('Person information: ', person_info) + +# Declaring multiple variables in one line + +first_name, last_name, country, age, is_married = 'Asabeneh', 'Yetayeh', 'Helsink', 250, True + +print(first_name, last_name, country, age, is_married) +print('First name:', first_name) +print('Last name: ', last_name) +print('Country: ', country) +print('Age: ', age) +print('Married: ', is_married) diff --git a/03_Day_Operators/03_operators.md b/03_Day_Operators/03_operators.md index f3e23ddb1..972b56943 100644 --- a/03_Day_Operators/03_operators.md +++ b/03_Day_Operators/03_operators.md @@ -9,24 +9,22 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - - -[<< Day 2](../02_Day_Variables/02_variables.md) | [Day 4 >>](../04_Day_Strings/04_string.md) +[<< Day 2](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) | [Day 4 >>](../04_Day_Strings/04_strings.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 3](#%f0%9f%93%98-day-3) +- [📘 Day 3](#-day-3) - [Boolean](#boolean) - - [Operators:](#operators) - - [Assignment Operators:](#assignment-operators) + - [Operators](#operators) + - [Assignment Operators](#assignment-operators) - [Arithmetic Operators:](#arithmetic-operators) - [Comparison Operators](#comparison-operators) - [Logical Operators](#logical-operators) - - [💻 Exercises - Day 3](#%f0%9f%92%bb-exercises---day-3) + - [💻 Exercises - Day 3](#-exercises---day-3) # 📘 Day 3 @@ -40,13 +38,13 @@ print(True) print(False) ``` -## Operators: +## Operators Python language supports several types of operators. In this section, we will focus on few of them. -### Assignment Operators: +### Assignment Operators -Assignment operators are used to assign values to variables. Let's take = as an example. Equal sign in mathematics shows that two values are equal, however in python it means we are storing a value in a certain variable and we call it assignment or a assigning value to a variable. The table below shows the different types of python assignment operators, taken from [w3school](https://www.w3schools.com/python/python_operators.asp). +Assignment operators are used to assign values to variables. Let us take = as an example. Equal sign in mathematics shows that two values are equal, however in Python it means we are storing a value in a certain variable and we call it assignment or a assigning value to a variable. The table below shows the different types of python assignment operators, taken from [w3school](https://www.w3schools.com/python/python_operators.asp). ![Assignment Operators](../images/assignment_operators.png) @@ -54,11 +52,11 @@ Assignment operators are used to assign values to variables. Let's take = as an - Addition(+): a + b - Subtraction(-): a - b -- Multiplication(*):a * b +- Multiplication(*): a * b - Division(/): a / b -- Modulus(%):a % b +- Modulus(%): a % b - Floor division(//): a // b -- Exponentiation(**):a ** b +- Exponentiation(**): a ** b ![Arithmetic Operators](../images/arithmetic_operators.png) @@ -68,16 +66,16 @@ Assignment operators are used to assign values to variables. Let's take = as an # Arithmetic Operations in Python # Integers -print('Addition: ', 1 + 2) -print('Subtraction: ', 2 - 1) -print('Multiplication: ', 2 * 3) -print ('Division: ', 4 / 2) # Division in python gives floating number -print('Division: ', 6 / 2) -print('Division: ', 7 / 2) -print('Division without the remainder: ', 7 // 2) # gives without the floating number or without the remaining -print('Modulus: ', 3 % 2) # Gives the remainder -print ('Division without the remainder: ',7 // 3) -print('Exponentiation: ', 3 ** 2) # it means 3 * 3 +print('Addition: ', 1 + 2) # 3 +print('Subtraction: ', 2 - 1) # 1 +print('Multiplication: ', 2 * 3) # 6 +print ('Division: ', 4 / 2) # 2.0 Division in Python gives floating number +print('Division: ', 6 / 2) # 3.0 +print('Division: ', 7 / 2) # 3.5 +print('Division without the remainder: ', 7 // 2) # 3, gives without the floating number or without the remaining +print ('Division without the remainder: ',7 // 3) # 2 +print('Modulus: ', 3 % 2) # 1, Gives the remainder +print('Exponentiation: ', 2 ** 3) # 8 it means 2 * 2 * 2 ``` **Example:Floats** @@ -92,8 +90,8 @@ print('Floating Point Number, gravity', 9.81) ```py # Complex numbers -print('Complex number: ', 1+1j) -print('Multiplying complex numbers: ',(1+1j) * (1-1j)) +print('Complex number: ', 1 + 1j) +print('Multiplying complex numbers: ',(1 + 1j) * (1 - 1j)) ``` Let's declare a variable and assign a number data type. I am going to use single character variable but remember do not develop a habit of declaring such types of variables. Variable names should be all the time mnemonic. @@ -115,15 +113,15 @@ remainder = a % b floor_division = a // b exponential = a ** b -# I should have used sum instead of total but sum is a built-in function - try to avoid overriding builtin functions -print(total) # if you don't label your print with some string, you never know where the result is coming from +# I should have used sum instead of total but sum is a built-in function - try to avoid overriding built-in functions +print(total) # if you do not label your print with some string, you never know where the result is coming from print('a + b = ', total) print('a - b = ', diff) print('a * b = ', product) print('a / b = ', division) print('a % b = ', remainder) print('a // b = ', floor_division) -print('a ** b = ', exponentiation) +print('a ** b = ', exponential) ``` **Example:** @@ -139,7 +137,7 @@ num_two = 4 total = num_one + num_two diff = num_two - num_one product = num_one * num_two -div = num_two / num_two +div = num_two / num_one remainder = num_two % num_one # Printing values with label @@ -150,7 +148,7 @@ print('division: ', div) print('remainder: ', remainder) ``` -Let's start start connecting the dots and start making use of what we already know to calculate (area, volume, weight, perimeter, distance, force) +Let us start connecting the dots and start making use of what we already know to calculate (area, volume,density, weight, perimeter, distance, force). **Example:** @@ -164,18 +162,25 @@ print('Area of a circle:', area_of_circle) length = 10 width = 20 area_of_rectangle = length * width -print('Area of rectangle:', area_of_width) +print('Area of rectangle:', area_of_rectangle) # Calculating a weight of an object mass = 75 gravity = 9.81 weight = mass * gravity print(weight, 'N') # Adding unit to the weight + +# Calculate the density of a liquid +mass = 75 # in Kg +volume = 0.075 # in cubic meter +density = mass / volume # 1000 Kg/m^3 +print(density, 'Kg/m^3') # Adding unit to the density + ``` ### Comparison Operators -In programming we compare values, we use comparison operators to compare two values. We check if a value is greater or less or equal to other value. The following table shows python comparison operators which was taken from [w3shool](https://www.w3schools.com/python/python_operators.asp). +In programming we compare values, we use comparison operators to compare two values. We check if a value is greater or less or equal to other value. The following table shows Python comparison operators which was taken from [w3shool](https://www.w3schools.com/python/python_operators.asp). ![Comparison Operators](../images/comparison_operators.png) **Example: Comparison Operators** @@ -202,23 +207,20 @@ print(len('python') > len('dragon')) # False print('True == True: ', True == True) print('True == False: ', True == False) print('False == False:', False == False) -print('True and True: ', True and True) -print('True or False:', True or False) - ``` -In addition to the above comparison operator python uses: +In addition to the above comparison operator Python uses: - _is_: Returns true if both variables are the same object(x is y) - _is not_: Returns true if both variables are not the same object(x is not y) - _in_: Returns True if the queried list contains a certain item(x in y) -- _not in_: Returns True if the queried list doesn't have a certain item(x in y) +- _not in_: Returns True if the queried list doesn't have a certain item(x not in y) ```py print('1 is 1', 1 is 1) # True - because the data values are the same print('1 is not 2', 1 is not 2) # True - because 1 is not 2 print('A in Asabeneh', 'A' in 'Asabeneh') # True - A found in the string -print('B in Asabeneh', 'B' in 'Asabeneh') # False - there is no uppercase B +print('B not in Asabeneh', 'B' in 'Asabeneh') # False - there is no uppercase B print('coding' in 'coding for all') # True - because coding for all has the word coding print('a in an:', 'a' in 'an') # True print('4 is 2 ** 2:', 4 is 2 ** 2) # True @@ -234,23 +236,26 @@ Unlike other programming languages python uses keywords _and_, _or_ and _not_ fo print(3 > 2 and 4 > 3) # True - because both statements are true print(3 > 2 and 4 < 3) # False - because the second statement is false print(3 < 2 and 4 < 3) # False - because both statements are false +print('True and True: ', True and True) print(3 > 2 or 4 > 3) # True - because both statements are true print(3 > 2 or 4 < 3) # True - because one of the statements is true print(3 < 2 or 4 < 3) # False - because both statements are false +print('True or False:', True or False) print(not 3 > 2) # False - because 3 > 2 is true, then not True gives False print(not True) # False - Negation, the not operator turns true to false print(not False) # True print(not not True) # True print(not not False) # False + ``` -🌕 You have boundless energy. You have just completed day 3 challenges and you are three steps ahead on your way to greatness. Now do some exercises for your brain and for your muscle. +🌕 You have boundless energy. You have just completed day 3 challenges and you are three steps ahead on your way to greatness. Now do some exercises for your brain and your muscles. ## 💻 Exercises - Day 3 1. Declare your age as integer variable 2. Declare your height as a float variable -3. Declare a complex number variable +3. Declare a variable that store a complex number 4. Write a script that prompts the user to enter base and height of the triangle and calculate an area of this triangle (area = 0.5 x b x h). ```py @@ -271,19 +276,19 @@ The perimeter of the triangle is 12 6. Get length and width of a rectangle using prompt. Calculate its area (area = length x width) and perimeter (perimeter = 2 x (length + width)) 7. Get radius of a circle using prompt. Calculate the area (area = pi x r x r) and circumference (c = 2 x pi x r) where pi = 3.14. 8. Calculate the slope, x-intercept and y-intercept of y = 2x -2 -9. Slope is (m = y2-y1/x2-x1). Find the slope between point (2, 2) and point (6,10) +9. Slope is (m = y2-y1/x2-x1). Find the slope and [Euclidean distance](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance.) between point (2, 2) and point (6,10) 10. Compare the slopes in tasks 8 and 9. -11. Calculate the value of y (y = x^2 + 6x + 9). Try to use different x values and figure out at what x value y is 0. -12. Find the length of 'python' and 'jargon' and make a falsy comparison statement. -13. Use _and_ operator to check if 'on' is found in both 'python' and 'jargon' +11. Calculate the value of y (y = x^2 + 6x + 9). Try to use different x values and figure out at what x value y is going to be 0. +12. Find the length of 'python' and 'dragon' and make a falsy comparison statement. +13. Use _and_ operator to check if 'on' is found in both 'python' and 'dragon' 14. _I hope this course is not full of jargon_. Use _in_ operator to check if _jargon_ is in the sentence. 15. There is no 'on' in both dragon and python 16. Find the length of the text _python_ and convert the value to float and convert it to string 17. Even numbers are divisible by 2 and the remainder is zero. How do you check if a number is even or not using python? -18. The floor division of 7 by 3 is equal to the int converted value of 2.7. -19. Check if type of '10' is equal to 10 +18. Check if the floor division of 7 by 3 is equal to the int converted value of 2.7. +19. Check if type of '10' is equal to type of 10 20. Check if int('9.8') is equal to 10 -21. Writ a script that prompts the user to enter hours and rate per hour. Calculate pay of the person? +21. Write a script that prompts the user to enter hours and rate per hour. Calculate pay of the person? ```py Enter hours: 40 @@ -291,14 +296,14 @@ Enter rate per hour: 28 Your weekly earning is 1120 ``` -22. Write a script that prompts the user to enter number of years. Calculate the number of seconds a person can live. Assume someone lives up to hundred years +22. Write a script that prompts the user to enter number of years. Calculate the number of seconds a person can live. Assume a person can live hundred years ```py Enter number of years you have lived: 100 You have lived for 3153600000 seconds. ``` -23. Write a python script that displays the following table +23. Write a Python script that displays the following table ```py 1 1 1 1 1 @@ -310,4 +315,4 @@ You have lived for 3153600000 seconds. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 2](../02_Day_Variables/02_variables.md) | [Day 4 >>](../04_Day_Strings/04_string.md) +[<< Day 2](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) | [Day 4 >>](../04_Day_Strings/04_strings.md) diff --git a/03_Day_Operators/day-3.py b/03_Day_Operators/day-3.py index bacdf837c..cbf7e5a1d 100644 --- a/03_Day_Operators/day-3.py +++ b/03_Day_Operators/day-3.py @@ -4,12 +4,14 @@ print('Addition: ', 1 + 2) print('Subtraction: ', 2 - 1) print('Multiplication: ', 2 * 3) -print ('Division: ', 4 / 2) # Division in python gives floating number +# Division in python gives floating number +print('Division: ', 4 / 2) print('Division: ', 6 / 2) print('Division: ', 7 / 2) -print('Division without the remainder: ', 7 // 2) # gives without the floating number or without the remaining +# gives without the floating number or without the remaining +print('Division without the remainder: ', 7 // 2) print('Modulus: ', 3 % 2) # Gives the remainder -print ('Division without the remainder: ',7 // 3) +print('Division without the remainder: ', 7 // 3) print('Exponential: ', 3 ** 2) # it means 3 * 3 # Floating numbers @@ -18,12 +20,12 @@ # Complex numbers print('Complex number: ', 1+1j) -print('Multiplying complex number: ',(1+1j) * (1-1j)) +print('Multiplying complex number: ', (1+1j) * (1-1j)) # Declaring the variable at the top first -a = 3 # a is a variable name and 3 is an integer data type -b = 2 # b is a variable name and 3 is an integer data type +a = 3 # a is a variable name and 3 is an integer data type +b = 2 # b is a variable name and 3 is an integer data type # Arithmetic operations and assigning the result to a variable total = a + b @@ -35,7 +37,7 @@ exponential = a ** b # I should have used sum instead of total but sum is a built-in function try to avoid overriding builtin functions -print(total) # if you don't label your print with some string, you never know from where is the result is coming +print(total) # if you don't label your print with some string, you never know from where is the result is coming print('a + b = ', total) print('a - b = ', diff) print('a * b = ', product) @@ -65,7 +67,8 @@ # Calculating area of a circle radius = 10 # radius of a circle -area_of_circle = 3.14 * radius ** 2 # two * sign means exponent or power +# two * sign means exponent or power +area_of_circle = 3.14 * radius ** 2 print('Area of a circle:', area_of_circle) # Calculating area of a rectangle @@ -102,18 +105,20 @@ print('True and True: ', True and True) print('True or False:', True or False) -# Another way comparison -print('1 is 1', 1 is 1) # True - because the data values are the same +# Another way comparison +# True - because the data values are the same +print('1 is 1', 1 is 1) print('1 is not 2', 1 is not 2) # True - because 1 is not 2 -print('A in Asabeneh', 'A' in 'Asabeneh') # True - A found in the string -print('B in Asabeneh', 'B' in 'Asabeneh') # False -there is no uppercase B -print('coding' in 'coding for all') # True - because coding for all has the word coding +print('A in Asabeneh', 'A' in 'Asabeneh') # True - A found in the string +print('B in Asabeneh', 'B' in 'Asabeneh') # False -there is no uppercase B +# True - because coding for all has the word coding +print('coding' in 'coding for all') print('a in an:', 'a' in 'an') # True -print('4 is 2 ** 2:', 4 is 2 **2) # True +print('4 is 2 ** 2:', 4 is 2 ** 2) # True -print(3 > 2 and 4 > 3) # True - because both statements are true -print(3 > 2 and 4 < 3) # False - because the second statement is false -print(3 < 2 and 4 < 3) # False - because both statements are false +print(3 > 2 and 4 > 3) # True - because both statements are true +print(3 > 2 and 4 < 3) # False - because the second statement is false +print(3 < 2 and 4 < 3) # False - because both statements are false print(3 > 2 or 4 > 3) # True - because both statements are true print(3 > 2 or 4 < 3) # True - because one of the statement is true print(3 < 2 or 4 < 3) # False - because both statements are false @@ -121,4 +126,4 @@ print(not True) # False - Negation, the not operator turns true to false print(not False) # True print(not not True) # True -print(not not False) # False \ No newline at end of file +print(not not False) # False diff --git a/04_Day_Strings/04_string.md b/04_Day_Strings/04_strings.md similarity index 64% rename from 04_Day_Strings/04_string.md rename to 04_Day_Strings/04_strings.md index bc997eab4..9d09d2cfe 100644 --- a/04_Day_Strings/04_string.md +++ b/04_Day_Strings/04_strings.md @@ -1,4 +1,3 @@ -

30 Days Of Python: Day 4 - Strings

@@ -8,24 +7,25 @@ Twitter Follow - Author: - Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 - -
+Author: +Asabeneh Yetayeh
+ Second Edition: July, 2021 + + -[<< Day 3](../03_Day_Operators/03_operators.md) | [Day 5 >>](../05_Day_Lists/05_list.md) +[<< Day 3](../03_Day_Operators/03_operators.md) | [Day 5 >>](../05_Day_Lists/05_lists.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + - [Day 4](#day-4) - - [String](#string) + - [Strings](#strings) - [Creating a String](#creating-a-string) - [String Concatenation](#string-concatenation) - [Escape Sequences in Strings](#escape-sequences-in-strings) - - [String Formating](#string-formating) - - [Old Style String Formating (% Operator)](#old-style-string-formating--operator) - - [New Style String Formating (str.format)](#new-style-string-formating-strformat) + - [String formatting](#string-formatting) + - [Old Style String Formatting (% Operator)](#old-style-string-formatting--operator) + - [New Style String Formatting (str.format)](#new-style-string-formatting-strformat) - [String Interpolation / f-Strings (Python 3.6+)](#string-interpolation--f-strings-python-36) - [Python Strings as Sequences of Characters](#python-strings-as-sequences-of-characters) - [Unpacking Characters](#unpacking-characters) @@ -34,12 +34,13 @@ - [Reversing a String](#reversing-a-string) - [Skipping Characters While Slicing](#skipping-characters-while-slicing) - [String Methods](#string-methods) - - [💻 Exercises - Day 4](#%f0%9f%92%bb-exercises---day-4) + - [💻 Exercises - Day 4](#-exercises---day-4) + # Day 4 -## String +## Strings -Text is a string data type. Any data type written as text is a string. Any data under single or double quote are strings. There are different string methods and built-in functions to deal with string data types. To check the length of a string use the len() method. +Text is a string data type. Any data type written as text is a string. Any data under single, double or triple quote are strings. There are different string methods and built-in functions to deal with string data types. To check the length of a string use the len() method. ### Creating a String @@ -47,20 +48,21 @@ Text is a string data type. Any data type written as text is a string. Any data letter = 'P' # A string could be a single character or a bunch of texts print(letter) # P print(len(letter)) # 1 -greeting = 'Hello, World!' # String could be a single or double quote,"Hello, World!" +greeting = 'Hello, World!' # String could be made using a single or double quote,"Hello, World!" print(greeting) # Hello, World! print(len(greeting)) # 13 sentence = "I hope you are enjoying 30 days of Python Challenge" print(sentence) ``` -Multiline string is created by using triple single (''') or double quotes ("""). See the example below. +Multiline string is created by using triple single (''') or triple double quotes ("""). See the example below. ```py multiline_string = '''I am a teacher and enjoy teaching. I didn't find anything as rewarding as empowering people. That is why I created 30 days of python.''' print(multiline_string) + # Another way of doing the same thing multiline_string = """I am a teacher and enjoy teaching. I didn't find anything as rewarding as empowering people. @@ -71,44 +73,46 @@ print(multiline_string) ### String Concatenation We can connect strings together. Merging or connecting strings is called concatenation. See the example below: - + ```py first_name = 'Asabeneh' last_name = 'Yetayeh' space = ' ' full_name = first_name + space + last_name print(full_name) # Asabeneh Yetayeh -# Checking length of a string using len() built-in function +# Checking the length of a string using len() built-in function print(len(first_name)) # 8 print(len(last_name)) # 7 print(len(first_name) > len(last_name)) # True -print(len(full_name)) # 15 +print(len(full_name)) # 16 ``` ### Escape Sequences in Strings -In python and other programming languages \ followed by a character. Let's see the most common escape characters: +In Python and other programming languages \ followed by a character is an escape sequence. Let us see the most common escape characters: + +- \n: new line +- \t: Tab means(8 spaces) +- \\\\: Back slash +- \\': Single quote (') +- \\": Double quote (") -* \n: new line -* \t: Tab means(8 spaces) -* \\\\: Back slash -* \\': Single quote (') -* \\": Double quote (") +Now, let us see the use of the above escape sequences with examples. ```py print('I hope everyone is enjoying the Python Challenge.\nAre you ?') # line break -print('Days\tTopics\tExercises') -print('Day 1\t3\t5') -print('Day 2\t3\t5') -print('Day 3\t3\t5') -print('Day 4\t3\t5') +print('Days\tTopics\tExercises') # adding tab space or 4 spaces +print('Day 1\t5\t5') +print('Day 2\t6\t20') +print('Day 3\t5\t23') +print('Day 4\t1\t35') print('This is a backslash symbol (\\)') # To write a backslash -print('In every programming language it starts with \"Hello, World!\"') +print('In every programming language it starts with \"Hello, World!\"') # to write a double quote inside a single quote # output I hope every one is enjoying the Python Challenge. Are you ? -Days Topics Exercises +Days Topics Exercises Day 1 5 5 Day 2 6 20 Day 3 5 23 @@ -117,17 +121,17 @@ This is a backslash symbol (\) In every programming language it starts with "Hello, World!" ``` -### String formating +### String formatting -#### Old Style String Formating (% Operator) +#### Old Style String Formatting (% Operator) -In python there are many ways of formating strings. In this section we will cover some of them. -The "%" operator is used to format a set of variables enclosed in a "tuple" (a fixed size list), together with a format string, which contains normal text together with "argument specifiers", special symbols like "%s", "%d", "%f", "%.f". +In Python there are many ways of formatting strings. In this section, we will cover some of them. +The "%" operator is used to format a set of variables enclosed in a "tuple" (a fixed size list), together with a format string, which contains normal text together with "argument specifiers", special symbols like "%s", "%d", "%f", "%.number of digitsf". -* %s - String (or any object with a string representation, like numbers) -* %d - Integers -* %f - Floating point numbers -* %.f - Floating point numbers with fixed precision +- %s - String (or any object with a string representation, like numbers) +- %d - Integers +- %f - Floating point numbers +- "%.number of digitsf" - Floating point numbers with fixed precision ```py # Strings only @@ -143,12 +147,14 @@ pi = 3.14 area = pi * radius ** 2 formated_string = 'The area of circle with a radius %d is %.2f.' %(radius, area) # 2 refers the 2 significant digits after the point -python_libraries = ['Django', 'Flask', 'Numpy', 'Pandas'] -formated_string = 'The following are python libraries:' % python_libraries -print(formated_string) # "The following are python libraries:['Django', 'Flask', 'Numpy', 'Pandas']" +python_libraries = ['Django', 'Flask', 'NumPy', 'Matplotlib','Pandas'] +formated_string = 'The following are python libraries:%s' % (python_libraries) +print(formated_string) # "The following are python libraries:['Django', 'Flask', 'NumPy', 'Matplotlib','Pandas']" ``` -#### New Style String Formating (str.format) -This formating is introduced in python version 3. + +#### New Style String Formatting (str.format) + +This format was introduced in Python version 3. ```py @@ -181,42 +187,50 @@ print('{} ** {} = {}'.format(a, b, a ** b)) radius = 10 pi = 3.14 area = pi * radius ** 2 -formated_string = 'The area of a cricle with a radius {} is {:.2f}.'.format(radius, area) # 2 digits after decimal +formated_string = 'The area of a circle with a radius {} is {:.2f}.'.format(radius, area) # 2 digits after decimal print(formated_string) ``` -#### String Interpolation / f-Strings (Python 3.6+) -Another new string formating is string interpolation, f-strings. Strings start with f and we can inject the data in their corresponding positions. + +#### String Interpolation / f-Strings (Python 3.6+) + +Another new string formatting is string interpolation, f-strings. Strings start with f and we can inject the data in their corresponding positions. + ```py a = 4 b = 3 print(f'{a} + {b} = {a +b}') print(f'{a} - {b} = {a - b}') print(f'{a} * {b} = {a * b}') -print(f'{a} / {b} = {a / b:.2f}') +print(f'{a} / {b} = {a / b:.2f}') print(f'{a} % {b} = {a % b}') print(f'{a} // {b} = {a // b}') print(f'{a} ** {b} = {a ** b}') ``` ### Python Strings as Sequences of Characters -Python strings are sequences of characters, and share their basic methods of access with other Python ordered sequences of objects – lists and tuples. The simplest way of extracting single characters from strings (and individual members from any sequence) is to unpack them into corresponding variables. -#### Unpacking Characters + +Python strings are sequences of characters, and share their basic methods of access with other Python ordered sequences of objects – lists and tuples. The simplest way of extracting single characters from strings (and individual members from any sequence) is to unpack them into corresponding variables. + +#### Unpacking Characters + ``` language = 'Python' a,b,c,d,e,f = language # unpacking sequence characters into variables print(a) # P print(b) # y -print(c) # t +print(c) # t print(d) # h print(e) # o print(f) # n ``` + #### Accessing Characters in Strings by Index - In programming counting starts from zero. Therefore the first letter of a string is at zero index and the last letter of a string is the length of a string minus one. - ![String index](../images/string_index.png) - +In programming counting starts from zero. Therefore the first letter of a string is at zero index and the last letter of a string is the length of a string minus one. + +![String index](../images/string_index.png) + ```py language = 'Python' first_letter = language[0] @@ -227,14 +241,16 @@ last_index = len(language) - 1 last_letter = language[last_index] print(last_letter) # n ``` + If we want to start from right end we can use negative indexing. -1 is the last index. + ```py language = 'Python' last_letter = language[-1] print(last_letter) # n second_last = language[-2] print(second_last) # o - ``` +``` #### Slicing Python Strings @@ -243,6 +259,7 @@ In python we can slice strings into substrings. ```py language = 'Python' first_three = language[0:3] # starts at zero index and up to 3 but not include 3 +print(first_three) #Pyt last_three = language[3:6] print(last_three) # hon # Another way @@ -262,61 +279,78 @@ print(greeting[::-1]) # !dlroW ,olleH ``` #### Skipping Characters While Slicing + It is possible to skip characters while slicing by passing step argument to slice method. + ```py language = 'Python' -pto = language[0,6:2] # +pto = language[0:6:2] # print(pto) # Pto ``` ### String Methods + There are many string methods which allow us to format strings. See some of the string methods in the following example: -* capitalize(): Converts the first character of the string to capital Letter +- capitalize(): Converts the first character of the string to capital letter + ```py challenge = 'thirty days of python' print(challenge.capitalize()) # 'Thirty days of python' ``` -* count(): returns occurrences of substring in string, count(substring, start=.., end=..) + +- count(): returns occurrences of substring in string, count(substring, start=.., end=..). The start is a starting indexing for counting and end is the last index to count. + ```py challenge = 'thirty days of python' print(challenge.count('y')) # 3 -print(challenge.count('y', 7, 14)) # 1 +print(challenge.count('y', 7, 14)) # 1, print(challenge.count('th')) # 2` ``` -* endswith(): Checks if a string ends with a specified ending + +- endswith(): Checks if a string ends with a specified ending + ```py challenge = 'thirty days of python' print(challenge.endswith('on')) # True print(challenge.endswith('tion')) # False ``` -* expandtabs(): Replaces tab character with spaces, default tab size is 8. It takes tab size argument + +- expandtabs(): Replaces tab character with spaces, default tab size is 8. It takes tab size argument + ```py challenge = 'thirty\tdays\tof\tpython' print(challenge.expandtabs()) # 'thirty days of python' print(challenge.expandtabs(10)) # 'thirty days of python' ``` -* find(): Returns the lowest index of the first occurrence of a substring, if not found returns -1 + +- find(): Returns the index of the first occurrence of a substring, if not found returns -1 + ```py challenge = 'thirty days of python' print(challenge.find('y')) # 5 print(challenge.find('th')) # 0 ``` -* rfind(): Returns the highest index of the first occurrence of a substring, if not found returns -1 + +- rfind(): Returns the index of the last occurrence of a substring, if not found returns -1 + ```py challenge = 'thirty days of python' -print(challenge.find('y')) # 5 -print(challenge.find('th')) # 1 +print(challenge.rfind('y')) # 16 +print(challenge.rfind('th')) # 17 ``` -* format(): formats string into a nicer output - More about string formating check this [link](https://www.programiz.com/python-programming/methods/string/format) + +- format(): formats string into a nicer output + More about string formatting check this [link](https://www.programiz.com/python-programming/methods/string/format) + ```py first_name = 'Asabeneh' last_name = 'Yetayeh' +age = 250 job = 'teacher' country = 'Finland' -sentence = 'I am {} {}. I am a {}. I live in {}.'.format(first_name, last_name, job, country) -print(sentence) # I am Asabeneh Yetayeh. I am a teacher. I live in Finland. +sentence = 'I am {} {}. I am a {}. I am {} years old. I live in {}.'.format(first_name, last_name, job, age, country) +print(sentence) # I am Asabeneh Yetayeh. I am 250 years old. I am a teacher. I live in Finland. radius = 10 pi = 3.14 @@ -324,21 +358,28 @@ area = pi * radius ** 2 result = 'The area of a circle with radius {} is {}'.format(str(radius), str(area)) print(result) # The area of a circle with radius 10 is 314 ``` -* index(): Returns the lowest index of a substring, additional arguments indicate starting and ending index (default 0 and string length - 1) + +- index(): Returns the lowest index of a substring, additional arguments indicate starting and ending index (default 0 and string length - 1). If the substring is not found it raises a valueError. + ```py challenge = 'thirty days of python' sub_string = 'da' print(challenge.index(sub_string)) # 7 print(challenge.index(sub_string, 9)) # error ``` -* rindex(): Returns the highest index of a substring, additional arguments indicate starting and ending index (default 0 and string length - 1) + +- rindex(): Returns the highest index of a substring, additional arguments indicate starting and ending index (default 0 and string length - 1) + ```py challenge = 'thirty days of python' sub_string = 'da' -print(challenge.index(sub_string)) # 8 -print(challenge.index(sub_string, 9)) # error +print(challenge.rindex(sub_string)) # 7 +print(challenge.rindex(sub_string, 9)) # error +print(challenge.rindex('on', 8)) # 19 ``` -* isalnum(): Checks alphanumeric character + +- isalnum(): Checks alphanumeric character + ```py challenge = 'ThirtyDaysPython' print(challenge.isalnum()) # True @@ -352,7 +393,9 @@ print(challenge.isalnum()) # False, space is not an alphanumeric character challenge = 'thirty days of python 2019' print(challenge.isalnum()) # False ``` -* isalpha(): Checks if all string elements are alphabet characters (a-z and A-Z) + +- isalpha(): Checks if all string elements are alphabet characters (a-z and A-Z) + ```py challenge = 'thirty days of python' print(challenge.isalpha()) # False, space is once again excluded @@ -361,18 +404,22 @@ print(challenge.isalpha()) # True num = '123' print(num.isalpha()) # False ``` -* isdecimal(): Checks if all characters in a string are decimal (0-9) + +- isdecimal(): Checks if all characters in a string are decimal (0-9) + ```py challenge = 'thirty days of python' print(challenge.isdecimal()) # False challenge = '123' print(challenge.isdecimal()) # True challenge = '\u00B2' -print(challenge.isdigit()) # False +print(challenge.isdigit()) # True challenge = '12 3' -print(challenge.isdecimal()) # False, no space allowed +print(challenge.isdecimal()) # False, space not allowed ``` -* isdigit(): Checks if all characters in a string are numbers (0-9 and some other unicode characters for numbers) + +- isdigit(): Checks if all characters in a string are numbers (0-9 and some other unicode characters for numbers) + ```py challenge = 'Thirty' print(challenge.isdigit()) # False @@ -381,7 +428,9 @@ print(challenge.isdigit()) # True challenge = '\u00B2' print(challenge.isdigit()) # True ``` -* isnumeric(): Checks if all characters in a string are numbers or number related (just like isdigit(), just accepts more symbols, like ½) + +- isnumeric(): Checks if all characters in a string are numbers or number related (just like isdigit(), just accepts more symbols, like ½) + ```py num = '10' print(num.isnumeric()) # True @@ -391,7 +440,8 @@ num = '10.5' print(num.isnumeric()) # False ``` -* isidentifier(): Checks for a valid identifier - means it checks, if a string is a valid variable name +- isidentifier(): Checks for a valid identifier - it checks if a string is a valid variable name + ```py challenge = '30DaysOfPython' print(challenge.isidentifier()) # False, because it starts with a number @@ -399,14 +449,17 @@ challenge = 'thirty_days_of_python' print(challenge.isidentifier()) # True ``` -* islower(): Checks if all alphabet characters in the string are lowercase +- islower(): Checks if all alphabet characters in the string are lowercase + ```py challenge = 'thirty days of python' print(challenge.islower()) # True challenge = 'Thirty days of python' print(challenge.islower()) # False ``` -* isupper(): Checks if all alphabet characters in the string are uppercase + +- isupper(): Checks if all alphabet characters in the string are uppercase + ```py challenge = 'thirty days of python' print(challenge.isupper()) # False @@ -414,42 +467,61 @@ challenge = 'THIRTY DAYS OF PYTHON' print(challenge.isupper()) # True ``` -* join(): Returns a concatenated string +- join(): Returns a concatenated string + +```py +web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] +result = ' '.join(web_tech) +print(result) # 'HTML CSS JavaScript React' +``` + ```py web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] result = '# '.join(web_tech) print(result) # 'HTML# CSS# JavaScript# React' ``` -* strip(): Removes all given characters starting from the beggining and end of the string + +- strip(): Removes all given characters starting from the beginning and end of the string + ```py challenge = 'thirty days of pythoonnn' print(challenge.strip('noth')) # 'irty days of py' ``` -* replace(): Replaces substring with a given string + +- replace(): Replaces substring with a given string + ```py challenge = 'thirty days of python' print(challenge.replace('python', 'coding')) # 'thirty days of coding' ``` -* split(): Splits the string, using given string as a separator + +- split(): Splits the string, using given string or space as a separator + ```py challenge = 'thirty days of python' print(challenge.split()) # ['thirty', 'days', 'of', 'python'] challenge = 'thirty, days, of, python' print(challenge.split(', ')) # ['thirty', 'days', 'of', 'python'] ``` -* title(): Returns a title cased string + +- title(): Returns a title cased string + ```py challenge = 'thirty days of python' print(challenge.title()) # Thirty Days Of Python ``` -* swapcase(): Converts all uppercase characters to lowercase and all lowercase characters to uppercase characters + +- swapcase(): Converts all uppercase characters to lowercase and all lowercase characters to uppercase characters + ```py challenge = 'thirty days of python' print(challenge.swapcase()) # THIRTY DAYS OF PYTHON challenge = 'Thirty Days Of Python' print(challenge.swapcase()) # tHIRTY dAYS oF pYTHON ``` -* startswith(): Checks if String Starts with the Specified String + +- startswith(): Checks if String Starts with the Specified String + ```py challenge = 'thirty days of python' print(challenge.startswith('thirty')) # True @@ -458,23 +530,26 @@ challenge = '30 days of python' print(challenge.startswith('thirty')) # False ``` +🌕 You are an extraordinary person and you have a remarkable potential. You have just completed day 4 challenges and you are four steps a head in to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises - Day 4 + 1. Concatenate the string 'Thirty', 'Days', 'Of', 'Python' to a single string, 'Thirty Days Of Python'. 2. Concatenate the string 'Coding', 'For' , 'All' to a single string, 'Coding For All'. 3. Declare a variable named company and assign it to an initial value "Coding For All". -4. Print the variable company using *print()*. -5. Print the length of the company string using *len()* method and *print()*. -6. Change all the characters to capital letters using *upper()* method. -7. Change all the characters to lowercase letters using *lower()* method. -8. Use capitalize(), title(), swapcase() methods to format the value of the string *Coding For All*. -9. Cut(slice) out the first word of *Coding For All* string. -10. Check if *Coding For All* string contains a word Coding using the method index, find or other methods. +4. Print the variable company using _print()_. +5. Print the length of the company string using _len()_ method and _print()_. +6. Change all the characters to uppercase letters using _upper()_ method. +7. Change all the characters to lowercase letters using _lower()_ method. +8. Use capitalize(), title(), swapcase() methods to format the value of the string _Coding For All_. +9. Cut(slice) out the first word of _Coding For All_ string. +10. Check if _Coding For All_ string contains a word Coding using the method index, find or other methods. 11. Replace the word coding in the string 'Coding For All' to Python. -12. Change Python for Everyone to Python for All using the replace method or other methods. +12. Change "Python for Everyone" to "Python for All" using the replace method or other methods. 13. Split the string 'Coding For All' using space as the separator (split()) . 14. "Facebook, Google, Microsoft, Apple, IBM, Oracle, Amazon" split the string at the comma. -15. What is the character at index 0 in the string *Coding For All*. -16. What is the last index of the string *Coding For All*. +15. What is the character at index 0 in the string _Coding For All_. +16. What is the last index of the string _Coding For All_. 17. What character is at index 10 in "Coding For All" string. 18. Create an acronym or an abbreviation for the name 'Python For Everyone'. 19. Create an acronym or an abbreviation for the name 'Coding For All'. @@ -486,13 +561,13 @@ print(challenge.startswith('thirty')) # False 25. Slice out the phrase 'because because because' in the following sentence: 'You cannot end a sentence with because because because is a conjunction' 26. Find the position of the first occurrence of the word 'because' in the following sentence: 'You cannot end a sentence with because because because is a conjunction' 27. Slice out the phrase 'because because because' in the following sentence: 'You cannot end a sentence with because because because is a conjunction' -28. Does '\'Coding For All' start with a substring *Coding*? -29. Does 'Coding For All' end with a substring *coding*? -30. '   Coding For All      '  , remove the left and right trailing spaces in the given string. +28. Does 'Coding For All' start with a substring _Coding_? +29. Does 'Coding For All' end with a substring _coding_? +30. '   Coding For All      '  , remove the left and right trailing spaces in the given string. 31. Which one of the following variables return True when we use the method isidentifier(): - * 30DaysOfPython - * thirty_days_of_python -32. The following list contains the names of some of python libraries: ['Django', 'Flask', 'Bottle', 'Pyramid', 'Falcon']. Join the list with a hash with space string. + - 30DaysOfPython + - thirty_days_of_python +32. The following list contains the names of some of python libraries: ['Django', 'Flask', 'Bottle', 'Pyramid', 'Falcon']. Join the list with a hash with space string. 33. Use the new line escape sequence to separate the following sentences. ```py I am enjoying this challenge. @@ -500,16 +575,19 @@ print(challenge.startswith('thirty')) # False ``` 34. Use a tab escape sequence to write the following lines. ```py - Name Age Country - Asabeneh 250 Finland + Name Age Country City + Asabeneh 250 Finland Helsinki ``` -35. Use the string formating method to display the following: +35. Use the string formatting method to display the following: + ```sh radius = 10 area = 3.14 * radius ** 2 -The area of a cricle with radius 10 is 314 meters square. +The area of a circle with radius 10 is 314 meters square. ``` -36. Make the following using string formating methods: + +36. Make the following using string formatting methods: + ```sh 8 + 6 = 14 8 - 6 = 2 @@ -522,4 +600,6 @@ The area of a cricle with radius 10 is 314 meters square. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 3](../03_Day_Operators/03_operators.md) | [Day 5 >>](../05_Day_Lists/05_list.md) \ No newline at end of file +[<< Day 3](../03_Day_Operators/03_operators.md) | [Day 5 >>](../05_Day_Lists/05_lists.md) + + diff --git a/04_Day_Strings/day_4.py b/04_Day_Strings/day_4.py index e3bfeccef..54e59464b 100644 --- a/04_Day_Strings/day_4.py +++ b/04_Day_Strings/day_4.py @@ -24,47 +24,48 @@ first_name = 'Asabeneh' last_name = 'Yetayeh' space = ' ' -full_name = first_name + space + last_name -print(full_name) # Asabeneh Yetayeh +full_name = first_name + space + last_name +print(full_name) # Asabeneh Yetayeh # Checking length of a string using len() builtin function print(len(first_name)) # 8 print(len(last_name)) # 7 -print(len(first_name) > len(last_name)) # True -print(len(full_name)) # 15 +print(len(first_name) > len(last_name)) # True +print(len(full_name)) # 15 -#### Unpacking characters +# Unpacking characters language = 'Python' -a,b,c,d,e,f = language # unpacking sequence characters into variables -print(a) # P -print(b) # y -print(c) # t -print(d) # h -print(e) # o -print(f) # n +a, b, c, d, e, f = language # unpacking sequence characters into variables +print(a) # P +print(b) # y +print(c) # t +print(d) # h +print(e) # o +print(f) # n # Accessing characters in strings by index language = 'Python' first_letter = language[0] -print(first_letter) # P +print(first_letter) # P second_letter = language[1] -print(second_letter) # y +print(second_letter) # y last_index = len(language) - 1 last_letter = language[last_index] -print(last_letter) # n +print(last_letter) # n # If we want to start from right end we can use negative indexing. -1 is the last index language = 'Python' last_letter = language[-1] -print(last_letter) # n +print(last_letter) # n second_last = language[-2] -print(second_last) # o +print(second_last) # o # Slicing language = 'Python' -first_three = language[0:3] # starts at zero index and up to 3 but not include 3 +# starts at zero index and up to 3 but not include 3 +first_three = language[0:3] last_three = language[3:6] -print(last_three) # hon +print(last_three) # hon # Another way last_three = language[-3:] print(last_three) # hon @@ -73,87 +74,88 @@ # Skipping character while splitting Python strings language = 'Python' -pto = language[0,6:2] # -print(pto) # pto +pto = language[0:6:2] +print(pto) # pto # Escape sequence -print('I hope every one enjoying the python challenge.\nDo you ?') # line break +print('I hope every one enjoying the python challenge.\nDo you ?') # line break print('Days\tTopics\tExercises') print('Day 1\t3\t5') print('Day 2\t3\t5') print('Day 3\t3\t5') print('Day 4\t3\t5') -print('This is a back slash symbol (\\)') # To write a back slash +print('This is a back slash symbol (\\)') # To write a back slash print('In every programming language it starts with \"Hello, World!\"') -## String Methods +# String Methods # capitalize(): Converts the first character the string to Capital Letter challenge = 'thirty days of python' -print(challenge.capitalize()) # 'Thirty days of python' +print(challenge.capitalize()) # 'Thirty days of python' # count(): returns occurrences of substring in string, count(substring, start=.., end=..) challenge = 'thirty days of python' -print(challenge.count('y')) # 3 -print(challenge.count('y', 7, 14)) # 1 -print(challenge.count('th')) # 2` +print(challenge.count('y')) # 3 +print(challenge.count('y', 7, 14)) # 1 +print(challenge.count('th')) # 2` # endswith(): Checks if a string ends with a specified ending challenge = 'thirty days of python' print(challenge.endswith('on')) # True -print(challenge.endswith('tion')) # False +print(challenge.endswith('tion')) # False # expandtabs(): Replaces tab character with spaces, default tab size is 8. It takes tab size argument challenge = 'thirty\tdays\tof\tpython' print(challenge.expandtabs()) # 'thirty days of python' -print(challenge.expandtabs(10)) # 'thirty days of python' +print(challenge.expandtabs(10)) # 'thirty days of python' # find(): Returns the index of first occurrence of substring challenge = 'thirty days of python' print(challenge.find('y')) # 5 -print(challenge.find('th')) # 0 +print(challenge.find('th')) # 0 -# format() formats string into nicer output +# format() formats string into nicer output first_name = 'Asabeneh' last_name = 'Yetayeh' job = 'teacher' country = 'Finland' -sentence = 'I am {} {}. I am a {}. I live in {}.'.format(first_name, last_name, job, country) -print(sentence) # I am Asabeneh Yetayeh. I am a teacher. I live in Finland. +sentence = 'I am {} {}. I am a {}. I live in {}.'.format( + first_name, last_name, job, country) +print(sentence) # I am Asabeneh Yetayeh. I am a teacher. I live in Finland. radius = 10 pi = 3.14 -area = pi # radius ## 2 +area = pi # radius ## 2 result = 'The area of circle with {} is {}'.format(str(radius), str(area)) -print(result) # The area of circle with 10 is 314.0 +print(result) # The area of circle with 10 is 314.0 # index(): Returns the index of substring challenge = 'thirty days of python' print(challenge.find('y')) # 5 -print(challenge.find('th')) # 0 +print(challenge.find('th')) # 0 # isalnum(): Checks alphanumeric character challenge = 'ThirtyDaysPython' -print(challenge.isalnum()) # True +print(challenge.isalnum()) # True challenge = '30DaysPython' -print(challenge.isalnum()) # True +print(challenge.isalnum()) # True challenge = 'thirty days of python' -print(challenge.isalnum()) # False +print(challenge.isalnum()) # False challenge = 'thirty days of python 2019' -print(challenge.isalnum()) # False +print(challenge.isalnum()) # False # isalpha(): Checks if all characters are alphabets challenge = 'thirty days of python' -print(challenge.isalpha()) # True +print(challenge.isalpha()) # True num = '123' print(num.isalpha()) # False @@ -161,44 +163,44 @@ challenge = 'thirty days of python' print(challenge.find('y')) # 5 -print(challenge.find('th')) # 0 +print(challenge.find('th')) # 0 # isdigit(): Checks Digit Characters challenge = 'Thirty' -print(challenge.isdigit()) # False +print(challenge.isdigit()) # False challenge = '30' -print(challenge.digit()) # True +print(challenge.isdigit()) # True # isdecimal():Checks decimal characters num = '10' -print(num.isdecimal()) # True +print(num.isdecimal()) # True num = '10.5' -print(num.isdecimal()) # False +print(num.isdecimal()) # False # isidentifier():Checks for valid identifier means it check if a string is a valid variable name challenge = '30DaysOfPython' -print(challenge.isidentifier()) # False, because it starts with a number +print(challenge.isidentifier()) # False, because it starts with a number challenge = 'thirty_days_of_python' -print(challenge.isidentifier()) # True +print(challenge.isidentifier()) # True # islower():Checks if all alphabets in a string are lowercase challenge = 'thirty days of python' -print(challenge.islower()) # True +print(challenge.islower()) # True challenge = 'Thirty days of python' -print(challenge.islower()) # False +print(challenge.islower()) # False # isupper(): returns if all characters are uppercase characters challenge = 'thirty days of python' -print(challenge.isupper()) # False +print(challenge.isupper()) # False challenge = 'THIRTY DAYS OF PYTHON' -print(challenge.isupper()) # True +print(challenge.isupper()) # True # isnumeric():Checks numeric characters @@ -211,30 +213,30 @@ web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] result = '#, '.join(web_tech) -print(result) # 'HTML# CSS# JavaScript# React' +print(result) # 'HTML# CSS# JavaScript# React' # strip(): Removes both leading and trailing characters challenge = ' thirty days of python ' -print(challenge.strip('y')) # 5 +print(challenge.strip('y')) # 5 # replace(): Replaces substring inside challenge = 'thirty days of python' -print(challenge.replace('python', 'coding')) # 'thirty days of coding' +print(challenge.replace('python', 'coding')) # 'thirty days of coding' # split():Splits String from Left challenge = 'thirty days of python' -print(challenge.split()) # ['thirty', 'days', 'of', 'python'] +print(challenge.split()) # ['thirty', 'days', 'of', 'python'] # title(): Returns a Title Cased String challenge = 'thirty days of python' -print(challenge.title()) # Thirty Days Of Python +print(challenge.title()) # Thirty Days Of Python # swapcase(): Checks if String Starts with the Specified String - + challenge = 'thirty days of python' print(challenge.swapcase()) # THIRTY DAYS OF PYTHON challenge = 'Thirty Days Of Python' @@ -243,6 +245,6 @@ # startswith(): Checks if String Starts with the Specified String challenge = 'thirty days of python' -print(challenge.startswith('thirty')) # True +print(challenge.startswith('thirty')) # True challenge = '30 days of python' -print(challenge.startswith('thirty')) # False \ No newline at end of file +print(challenge.startswith('thirty')) # False diff --git a/05_Day_Lists/05_list.md b/05_Day_Lists/05_lists.md similarity index 79% rename from 05_Day_Lists/05_list.md rename to 05_Day_Lists/05_lists.md index b7d0e7498..a91c74d5f 100644 --- a/05_Day_Lists/05_list.md +++ b/05_Day_Lists/05_lists.md @@ -1,5 +1,5 @@
-

30 Days Of Python: Day 5 - List

+

30 Days Of Python: Day 5 - Lists

@@ -9,13 +9,12 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July - 2021 -
-[<< Day 5](../04_Day_Strings/04_string.md) | [Day 6 >>](../06_Day_Tuples/06_tuple.md) +[<< Day 4](../04_Day_Strings/04_strings.md) | [Day 6 >>](../06_Day_Tuples/06_tuples.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) @@ -40,24 +39,26 @@ - [Finding Index of an Item](#finding-index-of-an-item) - [Reversing a List](#reversing-a-list) - [Sorting List Items](#sorting-list-items) - - [💻 Exercises: Day 5](#%f0%9f%92%bb-exercises-day-5) + - [💻 Exercises: Day 5](#-exercises-day-5) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) # Day 5 ## Lists -There are four collection data types in python : +There are four collection data types in Python : - List: is a collection which is ordered and changeable(modifiable). Allows duplicate members. - Tuple: is a collection which is ordered and unchangeable or unmodifiable(immutable). Allows duplicate members. -- Set: is a collection which is unordered, unindexed and unmodifiable, but you can add new items. No duplicate members. +- Set: is a collection which is unordered, un-indexed and unmodifiable, but we can add new items to the set. Duplicate members are not allowed. - Dictionary: is a collection which is unordered, changeable(modifiable) and indexed. No duplicate members. -A list is collection of different data types which is ordered and modifiable(mutable). A list can be empty or it may have different data type items or items +A list is collection of different data types which is ordered and modifiable(mutable). A list can be empty or it may have different data type items. ### How to Create a List -In python we can create lists in two ways: +In Python we can create lists in two ways: - Using list built-in function @@ -90,7 +91,7 @@ fruits = ['banana', 'orange', 'mango', 'lemon'] # list of fr vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] # list of vegetables animal_products = ['milk', 'meat', 'butter', 'yoghurt'] # list of animal products web_techs = ['HTML', 'CSS', 'JS', 'React','Redux', 'Node', 'MongDB'] # list of web technologies -countries = ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] +countries = ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] # Print the lists and its length print('Fruits:', fruits) @@ -162,7 +163,7 @@ print(second_last) # mango ### Unpacking List Items ```py -lst = ['item','item2','item3', 'item4', 'item5'] +lst = ['item1','item2','item3', 'item4', 'item5'] first_item, second_item, third_item, *rest = lst print(first_item) # item1 print(second_item) # item2 @@ -174,7 +175,7 @@ print(rest) # ['item4', 'item5'] ```py # First Example fruits = ['banana', 'orange', 'mango', 'lemon','lime','apple'] -first_fruit, second_fruit, third_fruit, *rest = lst +first_fruit, second_fruit, third_fruit, *rest = fruits print(first_fruit) # banana print(second_fruit) # orange print(third_fruit) # mango @@ -189,7 +190,7 @@ print(tenth) # 10 # Third Example about unpacking list countries = ['Germany', 'France','Belgium','Sweden','Denmark','Finland','Norway','Iceland','Estonia'] gr, fr, bg, sw, *scandic, es = countries -print(gr) +print(gr) print(fr) print(bg) print(sw) @@ -208,7 +209,7 @@ all_fruits = fruits[0:4] # it returns all the fruits all_fruits = fruits[0:] # if we don't set where to stop it takes all the rest orange_and_mango = fruits[1:3] # it does not include the first index orange_mango_lemon = fruits[1:] -orange_and_lemon = fruits[::2] # here we used a 3rd argument, step. It will take every 2cnd item - ['orange', 'lemon'] +orange_and_lemon = fruits[::2] # here we used a 3rd argument, step. It will take every 2cnd item - ['banana', 'mango'] ``` - Negative Indexing: We can specify a range of negative indexes by specifying the start, end and step, the return value will be a new list. @@ -216,9 +217,9 @@ orange_and_lemon = fruits[::2] # here we used a 3rd argument, step. It will take ```py fruits = ['banana', 'orange', 'mango', 'lemon'] all_fruits = fruits[-4:] # it returns all the fruits -orange_and_mango = fruits[-3:-1] # it does not include the last index -orange_mango_lemon = fruits[-3:] # this will give the same result as the one above -reverse_fruits = fruits[::-1] # a negative step will take the list in reverse order +orange_and_mango = fruits[-3:-1] # it does not include the last index,['orange', 'mango'] +orange_mango_lemon = fruits[-3:] # this will give starting from -3 to the end,['orange', 'mango', 'lemon'] +reverse_fruits = fruits[::-1] # a negative step will take the list in reverse order,['lemon', 'mango', 'orange', 'banana'] ``` ### Modifying Lists @@ -231,13 +232,15 @@ fruits[0] = 'avocado' print(fruits) # ['avocado', 'orange', 'mango', 'lemon'] fruits[1] = 'apple' print(fruits) # ['avocado', 'apple', 'mango', 'lemon'] -last_index = len(fruits) +last_index = len(fruits) - 1 fruits[last_index] = 'lime' print(fruits) # ['avocado', 'apple', 'mango', 'lime'] ``` ### Checking Items in a List +Checking an item if it is a member of a list using *in* operator. See the example below. + ```py fruits = ['banana', 'orange', 'mango', 'lemon'] does_exist = 'banana' in fruits @@ -248,7 +251,7 @@ print(does_exist) # False ### Adding Items to a List -To add item to the end of an existing list we use the method +To add item to the end of an existing list we use the method *append()*. ```py # syntax @@ -266,7 +269,7 @@ print(fruits) ### Inserting Items into a List -Use insert() method to insert a single item at a specified index in a list. Note that other items are shifted to the right. +We can use *insert()* method to insert a single item at a specified index in a list. Note that other items are shifted to the right. The *insert()* methods takes two arguments:index and an item to insert. ```py # syntax @@ -295,14 +298,14 @@ lst.remove(item) ```py fruits = ['banana', 'orange', 'mango', 'lemon', 'banana'] fruits.remove('banana') -print(fruits) # ['orange', 'mango', 'lemon', 'banana'] - this method removes the first occurence of the item in the list +print(fruits) # ['orange', 'mango', 'lemon', 'banana'] - this method removes the first occurrence of the item in the list fruits.remove('lemon') print(fruits) # ['orange', 'mango', 'banana'] ``` ### Removing Items Using Pop -The pop() method removes the specified index, (or the last item if index is not specified): +The *pop()* method removes the specified index, (or the last item if index is not specified): ```py # syntax @@ -322,7 +325,7 @@ print(fruits) # ['orange', 'mango'] ### Removing Items Using Del -The del keyword removes the specified index and it can also be used to delete items within index range. It can also delete the list completely +The *del* keyword removes the specified index and it can also be used to delete items within index range. It can also delete the list completely ```py # syntax @@ -345,7 +348,7 @@ print(fruits) # This should give: NameError: name 'fruits' is not defined ### Clearing List Items -The clear() method empties the list: +The *clear()* method empties the list: ```py # syntax @@ -361,7 +364,7 @@ print(fruits) # [] ### Copying a List -It is possible to copy a list by reassigning it to a new variable in the following way: list2 = list1. Now, list2 is a reference of list1, any changes we make in list2 will also modify the original, list2. But there are lots of case in which we do not like to modify the original instead we like to have a different copy. One of way avoid the problem above is using _copy()_. +It is possible to copy a list by reassigning it to a new variable in the following way: list2 = list1. Now, list2 is a reference of list1, any changes we make in list2 will also modify the original, list1. But there are lots of case in which we do not like to modify the original instead we like to have a different copy. One of way of avoiding the problem above is using _copy()_. ```py # syntax @@ -391,57 +394,44 @@ positive_numbers = [1, 2, 3, 4, 5] zero = [0] negative_numbers = [-5,-4,-3,-2,-1] integers = negative_numbers + zero + positive_numbers -print(integers) +print(integers) # [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] fruits = ['banana', 'orange', 'mango', 'lemon'] vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] fruits_and_vegetables = fruits + vegetables -print(fruits_and_vegetables ) - -``` - -```py -# output -[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] -['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +print(fruits_and_vegetables ) # ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] ``` - Joining using extend() method + The *extend()* method allows to append list in a list. See the example below. ```py # syntax list1 = ['item1', 'item2'] list2 = ['item3', 'item4', 'item5'] -list1.extend(list2) +list1.extend(list2) # ['item1', 'item2', 'item3', 'item4', 'item5'] ``` ```py num1 = [0, 1, 2, 3] -num2= [4, 5,6] +num2= [4, 5, 6] num1.extend(num2) -print('Numbers:', num1) +print('Numbers:', num1) # Numbers: [0, 1, 2, 3, 4, 5, 6] negative_numbers = [-5,-4,-3,-2,-1] positive_numbers = [1, 2, 3,4,5] zero = [0] negative_numbers.extend(zero) negative_numbers.extend(positive_numbers) -print('Integers:', negative_numbers) +print('Integers:', negative_numbers) # Integers: [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] fruits = ['banana', 'orange', 'mango', 'lemon'] vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] fruits.extend(vegetables) -print('Fruits and vegetables:', fruits ) - -``` - -```py -Numbers: [0, 1, 2, 3, 4, 5, 6] -Integers: [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] -Fruits and vegetables: ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +print('Fruits and vegetables:', fruits ) # Fruits and vegetables: ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] ``` ### Counting Items in a List -The count() method returns the number of times an item appears in a list: +The *count()* method returns the number of times an item appears in a list: ```py # syntax @@ -458,7 +448,7 @@ print(ages.count(24)) # 3 ### Finding Index of an Item -The index() method returns the index of an item in the list: +The *index()* method returns the index of an item in the list: ```py # syntax @@ -475,7 +465,7 @@ print(ages.index(24)) # 2, the first occurrence ### Reversing a List -The reverse() method reverses the order of a list. +The *reverse()* method reverses the order of a list. ```py # syntax @@ -487,15 +477,10 @@ lst.reverse() ```py fruits = ['banana', 'orange', 'mango', 'lemon'] fruits.reverse() -print(fruits.reverse()) +print(fruits) # ['lemon', 'mango', 'orange', 'banana'] ages = [22, 19, 24, 25, 26, 24, 25, 24] ages.reverse() -print(ages.reverse()) -``` - -```py -['lemon', 'mango', 'orange', 'banana'] -[24, 25, 24, 26, 25, 24, 19, 22] +print(ages) # [24, 25, 24, 26, 25, 24, 19, 22] ``` ### Sorting List Items @@ -516,37 +501,35 @@ To sort lists we can use _sort()_ method or _sorted()_ built-in functions. The _ ```py fruits = ['banana', 'orange', 'mango', 'lemon'] fruits.sort() - print(fruits) # sorted in alphabetical order + print(fruits) # sorted in alphabetical order, ['banana', 'lemon', 'mango', 'orange'] fruits.sort(reverse=True) - print(fruits) + print(fruits) # ['orange', 'mango', 'lemon', 'banana'] ages = [22, 19, 24, 25, 26, 24, 25, 24] ages.sort() - print(ages) + print(ages) # [19, 22, 24, 24, 24, 25, 25, 26] + ages.sort(reverse=True) - print(ages) - ``` - - ```sh - ['banana', 'lemon', 'mango', 'orange'] - ['orange', 'mango', 'lemon', 'banana'] - [19, 22, 24, 24, 24, 25, 25, 26] - [26, 25, 25, 24, 24, 24, 22, 19] + print(ages) # [26, 25, 25, 24, 24, 24, 22, 19] ``` - sorted(): returns the ordered list without modifying the original + sorted(): returns the ordered list without modifying the original list **Example:** ```py fruits = ['banana', 'orange', 'mango', 'lemon'] - print(sorted(fruits)) # ['banana', 'lemon', 'mango', 'orange'] + print(sorted(fruits)) # ['banana', 'lemon', 'mango', 'orange'] # Reverse order fruits = ['banana', 'orange', 'mango', 'lemon'] fruits = sorted(fruits,reverse=True) print(fruits) # ['orange', 'mango', 'lemon', 'banana'] ``` +🌕 You are diligent and you have already achieved quite a lot. You have just completed day 5 challenges and you are 5 steps a head in to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 5 +### Exercises: Level 1 + 1. Declare an empty list 2. Declare a list with more than 5 items 3. Find the length of your list @@ -579,8 +562,11 @@ To sort lists we can use _sort()_ method or _sorted()_ built-in functions. The _ back_end = ['Node','Express', 'MongoDB'] ``` -27. After joining the lists in question 26. Copy the joined list and assign it to a variable full_stack. Then insert Python and SQL after Redux. -28. The following is a list of 10 students ages: +27. After joining the lists in question 26. Copy the joined list and assign it to a variable full_stack, then insert Python and SQL after Redux. + +### Exercises: Level 2 + +1. The following is a list of 10 students ages: ```sh ages = [19, 22, 19, 24, 20, 25, 26, 24, 25, 24] @@ -593,10 +579,10 @@ ages = [19, 22, 19, 24, 20, 25, 26, 24, 25, 24] - Find the range of the ages (max minus min) - Compare the value of (min - average) and (max - average), use _abs()_ method -29. Find the middle country(ies) in the [countries list](https://github.com/Asabeneh/30-Days-Of-Python/tree/master/data/countries.py) -30. Divide the countries list into two equal lists if it is even if not one more country for the first half. -31. ['China', 'Russia', 'USA', 'Finland', 'Sweden', 'Norway', 'Denmark']. Unpack the first three countries and the rest as scandic countries. +1. Find the middle country(ies) in the [countries list](https://github.com/Asabeneh/30-Days-Of-Python/tree/master/data/countries.py) +1. Divide the countries list into two equal lists if it is even if not one more country for the first half. +1. ['China', 'Russia', 'USA', 'Finland', 'Sweden', 'Norway', 'Denmark']. Unpack the first three countries and the rest as scandic countries. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 5](../04_Day_Strings/04_string.md) | [Day 6 >>](../06_Day_Tuples/06_tuple.md) +[<< Day 4](../04_Day_Strings/04_strings.md) | [Day 6 >>](../06_Day_Tuples/06_tuples.md) diff --git a/05_Day_Lists/day_5.py b/05_Day_Lists/day_5.py index 971b4e143..6b9c2a1f7 100644 --- a/05_Day_Lists/day_5.py +++ b/05_Day_Lists/day_5.py @@ -1,10 +1,14 @@ -empty_list = list() # this is an empty list, no item in the list -print(len(empty_list)) # 0 +empty_list = list() # this is an empty list, no item in the list +print(len(empty_list)) # 0 -fruits = ['banana', 'orange', 'mango', 'lemon'] # list of fruits -vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] # list of vegetables -animal_products = ['milk', 'meat', 'butter', 'yoghurt'] # list of animal products -web_techs = ['HTML', 'CSS', 'JS', 'React','Redux', 'Node', 'MongDB'] # list of web technologies +# list of fruits +fruits = ['banana', 'orange', 'mango', 'lemon'] +vegetables = ['Tomato', 'Potato', 'Cabbage', + 'Onion', 'Carrot'] # list of vegetables +animal_products = ['milk', 'meat', 'butter', + 'yoghurt'] # list of animal products +web_techs = ['HTML', 'CSS', 'JS', 'React', 'Redux', + 'Node', 'MongDB'] # list of web technologies countries = ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] # Print the lists and it length @@ -12,7 +16,7 @@ print('Number of fruits:', len(fruits)) print('Vegetables:', vegetables) print('Number of vegetables:', len(vegetables)) -print('Animal products:',animal_products) +print('Animal products:', animal_products) print('Number of animal products:', len(animal_products)) print('Web technologies:', web_techs) print('Number of web technologies:', len(web_techs)) @@ -20,47 +24,47 @@ # Modifying list -fruits = ['banana', 'orange', 'mango', 'lemon'] -first_fruit = fruits[0] # we are accessing the first item using its index +fruits = ['banana', 'orange', 'mango', 'lemon'] +first_fruit = fruits[0] # we are accessing the first item using its index print(first_fruit) # banana second_fruit = fruits[1] print(second_fruit) # orange last_fruit = fruits[3] -print(last_fruit) # lemon +print(last_fruit) # lemon # Last index last_index = len(fruits) - 1 last_fruit = fruits[last_index] # Accessing itmes -fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits = ['banana', 'orange', 'mango', 'lemon'] last_fruit = fruits[-1] second_last = fruits[-2] print(last_fruit) # lemon print(second_last) # mango # Slicing items -fruits = ['banana', 'orange', 'mango', 'lemon'] -all_fruits = fruits[0:4] # it returns all the fruits +fruits = ['banana', 'orange', 'mango', 'lemon'] +all_fruits = fruits[0:4] # it returns all the fruits # this is also give the same result as the above -all_fruits = fruits[0:] # if we don't set where to stop it takes all the rest -orange_and_mango = fruits[1:3] # it does not include the end index +all_fruits = fruits[0:] # if we don't set where to stop it takes all the rest +orange_and_mango = fruits[1:3] # it does not include the end index orange_mango_lemon = fruits[1:] -fruits = ['banana', 'orange', 'mango', 'lemon'] -all_fruits = fruits[-4:] # it returns all the fruits +fruits = ['banana', 'orange', 'mango', 'lemon'] +all_fruits = fruits[-4:] # it returns all the fruits # this is also give the same result as the above -orange_and_mango = fruits[-3:-1] # it does not include the end index +orange_and_mango = fruits[-3:-1] # it does not include the end index orange_mango_lemon = fruits[-3:] -fruits = ['banana', 'orange', 'mango', 'lemon'] -fruits[0] = 'Avocado' -print(fruits) # ['avocado', 'orange', 'mango', 'lemon'] +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits[0] = 'Avocado' +print(fruits) # ['avocado', 'orange', 'mango', 'lemon'] fruits[1] = 'apple' -print(fruits) # ['avocado', 'apple', 'mango', 'lemon'] +print(fruits) # ['avocado', 'apple', 'mango', 'lemon'] last_index = len(fruits) fruits[last_index] = 'lime' -print(fruits) # ['avocado', 'apple', 'mango', 'lime'] +print(fruits) # ['avocado', 'apple', 'mango', 'lime'] # checking items fruits = ['banana', 'orange', 'mango', 'lemon'] @@ -73,14 +77,16 @@ fruits = ['banana', 'orange', 'mango', 'lemon'] fruits.append('apple') print(fruits) # ['banana', 'orange', 'mango', 'lemon', 'apple'] -fruits.append('lime') # ['banana', 'orange', 'mango', 'lemon', 'apple', 'lime] +# ['banana', 'orange', 'mango', 'lemon', 'apple', 'lime] +fruits.append('lime') print(fruits) # insert fruits = ['banana', 'orange', 'mango', 'lemon'] -fruits.insert(2, 'apple') # insert apple between orange and mango +fruits.insert(2, 'apple') # insert apple between orange and mango print(fruits) # ['banana', 'orange', 'apple', 'mango', 'lemon'] -fruits.list(3, 'lime') # ['banana', 'orange', 'apple', 'mango', 'lime','lemon',] +# ['banana', 'orange', 'apple', 'mango', 'lime','lemon',] +fruits.list(3, 'lime') print(fruits) # remove @@ -92,60 +98,60 @@ # pop fruits = ['banana', 'orange', 'mango', 'lemon'] -fruits.remove() +fruits.remove() print(fruits) # ['banana', 'orange', 'mango'] -fruits.remove(0) -print(fruits) # ['orange', 'mango'] +fruits.remove(0) +print(fruits) # ['orange', 'mango'] -# del +# del fruits = ['banana', 'orange', 'mango', 'lemon'] -del fruits[0] +del fruits[0] print(fruits) # ['orange', 'mango', 'lemon'] -del fruits[1] +del fruits[1] print(fruits) # ['orange', 'lemon'] del fruits print(fruits) # This should give: NameError: name 'fruits' is not defined # clear fruits = ['banana', 'orange', 'mango', 'lemon'] -fruits.clear() +fruits.clear() print(fruits) # [] # copying a lits fruits = ['banana', 'orange', 'mango', 'lemon'] -fruits_copy = fruits.copy() +fruits_copy = fruits.copy() print(fruits_copy) # ['banana', 'orange', 'mango', 'lemon'] # join -positive_numbers = [1, 2, 3,4,5] +positive_numbers = [1, 2, 3, 4, 5] zero = [0] -negative_numbers = [-5,-4,-3,-2,-1] +negative_numbers = [-5, -4, -3, -2, -1] integers = negative_numbers + zero + positive_numbers print(integers) fruits = ['banana', 'orange', 'mango', 'lemon'] -vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] +vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] fruits_and_vegetables = fruits + vegetables -print(fruits_and_vegetables ) +print(fruits_and_vegetables) # join with extend num1 = [0, 1, 2, 3] -num2= [4, 5,6] +num2 = [4, 5, 6] num1.extend(num2) print('Numbers:', num1) -negative_numbers = [-5,-4,-3,-2,-1] -positive_numbers = [1, 2, 3,4,5] +negative_numbers = [-5, -4, -3, -2, -1] +positive_numbers = [1, 2, 3, 4, 5] zero = [0] negative_numbers.extend(zero) negative_numbers.extend(positive_numbers) print('Integers:', negative_numbers) fruits = ['banana', 'orange', 'mango', 'lemon'] -vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] +vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] fruits.extend(vegetables) -print('Fruits and vegetables:', fruits ) +print('Fruits and vegetables:', fruits) # count fruits = ['banana', 'orange', 'mango', 'lemon'] @@ -157,23 +163,23 @@ fruits = ['banana', 'orange', 'mango', 'lemon'] print(fruits.index('orange')) # 1 ages = [22, 19, 24, 25, 26, 24, 25, 24] -print(ages.index(24)) +print(ages.index(24)) # Reverse fruits = ['banana', 'orange', 'mango', 'lemon'] fruits.reverse() -print(fruits.reverse()) +print(fruits.reverse()) ages = [22, 19, 24, 25, 26, 24, 25, 24] ages.reverse() -print(ages.reverse()) +print(ages.reverse()) # sort fruits = ['banana', 'orange', 'mango', 'lemon'] fruits.sort() -print(fruits) +print(fruits) fruits.sort(reverse=True) print(fruits) ages = [22, 19, 24, 25, 26, 24, 25, 24] ages.sort() -print(ages) +print(ages) ages.sort(reverse=True) -print(ages) \ No newline at end of file +print(ages) diff --git a/06_Day_Tuples/06_tuple.md b/06_Day_Tuples/06_tuples.md similarity index 76% rename from 06_Day_Tuples/06_tuple.md rename to 06_Day_Tuples/06_tuples.md index c614f3cf9..5c155034e 100644 --- a/06_Day_Tuples/06_tuple.md +++ b/06_Day_Tuples/06_tuples.md @@ -1,5 +1,5 @@
-

30 Days Of Python: Day 6 - Tuple

+

30 Days Of Python: Day 6 - Tuples

@@ -9,54 +9,58 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 -
-[<< Day 5](../05_Day_Lists/05_list.md) | [Day 7 >>](../07_Day_Sets/07_set.md) +[<< Day 5](../05_Day_Lists/05_lists.md) | [Day 7 >>](../07_Day_Sets/07_sets.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) - [Day 6:](#day-6) - - [Tuple](#tuple) + - [Tuples](#tuples) - [Creating a Tuple](#creating-a-tuple) - - [Tuple Length](#tuple-length) + - [Tuple length](#tuple-length) - [Accessing Tuple Items](#accessing-tuple-items) - - [Slicing Tuples](#slicing-tuples) + - [Slicing tuples](#slicing-tuples) - [Changing Tuples to Lists](#changing-tuples-to-lists) - - [Checking an Item in a List](#checking-an-item-in-a-list) + - [Checking an Item in a Tuple](#checking-an-item-in-a-tuple) - [Joining Tuples](#joining-tuples) - [Deleting Tuples](#deleting-tuples) - - [💻 Exercises: Day 6](#%f0%9f%92%bb-exercises-day-6) + - [💻 Exercises: Day 6](#-exercises-day-6) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) # Day 6: -## Tuple +## Tuples A tuple is a collection of different data types which is ordered and unchangeable (immutable). Tuples are written with round brackets, (). Once a tuple is created, we cannot change its values. We cannot use add, insert, remove methods in a tuple because it is not modifiable (mutable). Unlike list, tuple has few methods. Methods related to tuples: - tuple(): to create an empty tuple - count(): to count the number of a specified item in a tuple - index(): to find the index of a specified item in a tuple -- - operator: to join two or more tuples and to create a new tuple +- `+` operator: to join two or more tuples and to create a new tuple ### Creating a Tuple - Empty tuple: Creating an empty tuple + ```py # syntax empty_tuple = () # or using the tuple constructor empty_tuple = tuple() ``` + - Tuple with initial values + ```py # syntax tpl = ('item1', 'item2','item3') ``` - - + ```py fruits = ('banana', 'orange', 'mango', 'lemon') ``` @@ -89,18 +93,20 @@ len(tpl) first_fruit = fruits[0] second_fruit = fruits[1] last_index =len(fruits) - 1 - last_fruit = fruits[las_index] + last_fruit = fruits[last_index] ``` - Negative indexing Negative indexing means beginning from the end, -1 refers to the last item, -2 refers to the second last and the negative of the list/tuple length refers to the first item. ![Tuple Negative indexing](../images/tuple_negative_indexing.png) + ```py # Syntax tpl = ('item1', 'item2', 'item3','item4') first_item = tpl[-4] second_item = tpl[-3] ``` + ```py fruits = ('banana', 'orange', 'mango', 'lemon') first_fruit = fruits[-4] @@ -110,7 +116,7 @@ len(tpl) ### Slicing tuples -We can slice out a subtuple by specifying a range of indexes where to start and where to end in the tuple, the return value will be a new tuple with the specified items. +We can slice out a sub-tuple by specifying a range of indexes where to start and where to end in the tuple, the return value will be a new tuple with the specified items. - Range of Positive Indexes @@ -165,9 +171,9 @@ fruits = tuple(fruits) print(fruits) # ('apple', 'orange', 'mango', 'lemon') ``` -### Checking an Item in a List +### Checking an Item in a Tuple -We can check if an item exists or not in a list using _in_, it returns a boolean. +We can check if an item exists or not in a tuple using _in_, it returns a boolean. ```py # Syntax @@ -215,24 +221,34 @@ fruits = ('banana', 'orange', 'mango', 'lemon') del fruits ``` +🌕 You are so brave, you made it to this far. You have just completed day 6 challenges and you are 6 steps a head in to your way to greatness. Now do some exercises for your brain and for your muscle. + ## 💻 Exercises: Day 6 +### Exercises: Level 1 + 1. Create an empty tuple 2. Create a tuple containing names of your sisters and your brothers (imaginary siblings are fine) 3. Join brothers and sisters tuples and assign it to siblings 4. How many siblings do you have? 5. Modify the siblings tuple and add the name of your father and mother and assign it to family_members -6. Unpack siblings and parents from family_members -7. Create fruits, vegetables and animal products tuples. Join the three tuples and assign it to a variable called food_stuff. -8. Slice out the middle item or items from the food_staff list -9. Slice out the first three items and the last three items from food_staff list -10. Delete the food_staff list completely -11. Check if an item exist in a tuple: + +### Exercises: Level 2 + +1. Unpack siblings and parents from family_members +1. Create fruits, vegetables and animal products tuples. Join the three tuples and assign it to a variable called food_stuff_tp. +1. Change the about food_stuff_tp tuple to a food_stuff_lt list +1. Slice out the middle item or items from the food_stuff_tp tuple or food_stuff_lt list. +1. Slice out the first three items and the last three items from food_stuff_lt list +1. Delete the food_stuff_tp tuple completely +1. Check if an item exists in tuple: - Check if 'Estonia' is a nordic country - Check if 'Iceland' is a nordic country + ```py nordic_countries = ('Denmark', 'Finland','Iceland', 'Norway', 'Sweden') ``` -[<< Day 5](../05_Day_Lists/05_list.md) | [Day 7 >>](../07_Day_Sets/07_set.md) + +[<< Day 5](../05_Day_Lists/05_lists.md) | [Day 7 >>](../07_Day_Sets/07_sets.md) diff --git a/07_Day_Sets/07_set.md b/07_Day_Sets/07_sets.md similarity index 68% rename from 07_Day_Sets/07_set.md rename to 07_Day_Sets/07_sets.md index 0ccd8654d..26ca08e40 100644 --- a/07_Day_Sets/07_set.md +++ b/07_Day_Sets/07_sets.md @@ -1,5 +1,5 @@
-

30 Days Of Python: Day 7 - Set

+

30 Days Of Python: Day 7 - Sets

@@ -9,51 +9,51 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 -
-[<< Day 6](../06_Day_Tuples/06_tuple.md) | [Day 8 >>](../08_Day/08_dictionary.md) +[<< Day 6](../06_Day_Tuples/06_tuples.md) | [Day 8 >>](../08_Day_Dictionaries/08_dictionaries.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 7](#%f0%9f%93%98-day-7) - - [Set](#set) +- [📘 Day 7](#-day-7) + - [Sets](#sets) - [Creating a Set](#creating-a-set) - [Getting Set's Length](#getting-sets-length) - [Accessing Items in a Set](#accessing-items-in-a-set) - [Checking an Item](#checking-an-item) - [Adding Items to a Set](#adding-items-to-a-set) - [Removing Items from a Set](#removing-items-from-a-set) - - [Clearing Items in a Set](#clearing-item-in-a-set) + - [Clearing Items in a Set](#clearing-items-in-a-set) - [Deleting a Set](#deleting-a-set) - - [Converting List to a Set](#converting-list-to-a-set) + - [Converting List to Set](#converting-list-to-set) - [Joining Sets](#joining-sets) - [Finding Intersection Items](#finding-intersection-items) - - [Checking Subsets and Super Sets](#checking-subsets-and-super-sets) + - [Checking Subset and Super Set](#checking-subset-and-super-set) - [Checking the Difference Between Two Sets](#checking-the-difference-between-two-sets) - [Finding Symmetric Difference Between Two Sets](#finding-symmetric-difference-between-two-sets) - - [Joining Sets](#joining-sets) - - [💻 Exercises: Day 7](#%f0%9f%92%bb-exercises-day-7) + - [Joining Sets](#joining-sets-1) + - [💻 Exercises: Day 7](#-exercises-day-7) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 7 -## Set +## Sets -Let me take you back to your elementary or high school Mathematics lesson. The Mathematics definition of a set can be applied also in python. Set is a collection of unordered and unindexed distinct elements. In python set is used to store unique items, and it is possible to find the _union_, _intersection_, _difference_, _symmetric difference_, _subset_, _super set_ and _disjoint set_ among sets. +Set is a collection of items. Let me take you back to your elementary or high school Mathematics lesson. The Mathematics definition of a set can be applied also in Python. Set is a collection of unordered and un-indexed distinct elements. In Python set is used to store unique items, and it is possible to find the _union_, _intersection_, _difference_, _symmetric difference_, _subset_, _super set_ and _disjoint set_ among sets. ### Creating a Set -We use curly brackets, {} to create a set. +To create an empty set, we use the set() function. Empty curly brackets {} will create a dictionary. - Creating an empty set ```py # syntax -st = {} -# or st = set() ``` @@ -78,7 +78,7 @@ We use **len()** method to find the length of a set. ```py # syntax st = {'item1', 'item2', 'item3', 'item4'} -len(set) +len(st) ``` **Example:** @@ -94,7 +94,7 @@ We use loops to access items. We will see this in loop section ### Checking an Item -To check if an item exist in a list use use _in_. +To check if an item exist in a list we use _in_ membership operator. ```py # syntax @@ -106,12 +106,12 @@ print("Does set st contain item3? ", 'item3' in st) # Does set st contain item3? ```py fruits = {'banana', 'orange', 'mango', 'lemon'} -'mango' in fruits +print('mango' in fruits ) # True ``` ### Adding Items to a Set -Once a set is created we cannot change any items but we can add additional ones. +Once a set is created we cannot change any items and we can also add additional items. - Add one item using _add()_ @@ -129,6 +129,7 @@ fruits.add('lime') ``` - Add multiple items using _update()_ + The _update()_ allows to add multiple items to a set. The _update()_ takes a list argument. ```py # syntax @@ -154,11 +155,21 @@ st = {'item1', 'item2', 'item3', 'item4'} st.remove('item2') ``` +The pop() methods remove a random item from a list and it returns the removed item. + **Example:** ```py fruits = {'banana', 'orange', 'mango', 'lemon'} -fruits.pop() # removes the last element from the set +fruits.pop() # removes a random item from the set + +``` + +If we are interested in the removed item. + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +removed_item = fruits.pop() ``` ### Clearing Items in a Set @@ -186,7 +197,7 @@ If we want to delete the set itself we use _del_ operator. ```py # syntax st = {'item1', 'item2', 'item3', 'item4'} -del set +del st ``` **Example:** @@ -198,7 +209,7 @@ del fruits ### Converting List to Set -We can convert list to set and set to list back. Converting list to set removes duplicates and only unique items will be reserved. +We can convert list to set and set to list. Converting list to set removes duplicates and only unique items will be reserved. ```py # syntax @@ -215,7 +226,7 @@ fruits = set(fruits) # {'mango', 'lemon', 'banana', 'orange'} ### Joining Sets -We can join two sets using the _union()_ or _update()_ method. +We can join two sets using the _union()_ or _update()_ method or _|_ symbol . - Union This method returns a new set @@ -224,7 +235,7 @@ We can join two sets using the _union()_ or _update()_ method. # syntax st1 = {'item1', 'item2', 'item3', 'item4'} st2 = {'item5', 'item6', 'item7', 'item8'} -st3 = st1.union(st2) +st3 = st1.union(st2) #st3 = st1 | st2 ``` **Example:** @@ -233,6 +244,7 @@ st3 = st1.union(st2) fruits = {'banana', 'orange', 'mango', 'lemon'} vegetables = {'tomato', 'potato', 'cabbage','onion', 'carrot'} print(fruits.union(vegetables)) # {'lemon', 'carrot', 'tomato', 'banana', 'mango', 'orange', 'cabbage', 'potato', 'onion'} +# or using this : print(fruits | vegetables) ``` - Update @@ -256,13 +268,14 @@ print(fruits) # {'lemon', 'carrot', 'tomato', 'banana', 'mango', 'orange', 'cabb ### Finding Intersection Items -Intersection returns a set of items which are in both the sets. See the example +Intersection returns a set of items which are in both the sets or using _&_ symbol. See the example ```py # syntax st1 = {'item1', 'item2', 'item3', 'item4'} st2 = {'item3', 'item2'} st1.intersection(st2) # {'item3', 'item2'} +# or using thia : st1 & st2 ``` **Example:** @@ -275,6 +288,7 @@ whole_numbers.intersection(even_numbers) # {0, 2, 4, 6, 8, 10} python = {'p', 'y', 't', 'h', 'o','n'} dragon = {'d', 'r', 'a', 'g', 'o','n'} python.intersection(dragon) # {'o', 'n'} +# python & dragon ``` ### Checking Subset and Super Set @@ -307,14 +321,14 @@ python.issubset(dragon) # False ### Checking the Difference Between Two Sets -It returns the difference between two sets. +It returns the difference between two sets or using _-_ symbol . ```py # syntax st1 = {'item1', 'item2', 'item3', 'item4'} st2 = {'item2', 'item3'} -st2.difference(st1) # set() -st1.difference(st2) # {'item1', 'item4'} => st1\st2 +st2.difference(st1) # set() : st2 - st1 +st1.difference(st2) # {'item1', 'item4'} => st1\st2 : st2 - st1 ``` **Example:** @@ -327,19 +341,21 @@ whole_numbers.difference(even_numbers) # {1, 3, 5, 7, 9} python = {'p', 'y', 't', 'o','n'} dragon = {'d', 'r', 'a', 'g', 'o','n'} python.difference(dragon) # {'p', 'y', 't'} - the result is unordered (characteristic of sets) +# python - dragon dragon.difference(python) # {'d', 'r', 'a', 'g'} +# dragon - python ``` ### Finding Symmetric Difference Between Two Sets -It returns the the symmetric difference between two sets. It means that it returns a set that contains all items from both sets, except items that are present in both sets, mathematically: (A\B) ∪ (B\A) +It returns the symmetric difference between two sets. It means that it returns a set that contains all items from both sets, except items that are present in both sets, mathematically: (A\B) ∪ (B\A) ```py # syntax st1 = {'item1', 'item2', 'item3', 'item4'} st2 = {'item2', 'item3'} -# it means (A\B)∪(B) -st2.symmetric_difference(st1) # {'item1', 'item4'} +# it means (A\B)∪(B\A) +st2.symmetric_difference(st1) # {'item1', 'item4'} : st2 ^ st1 ``` **Example:** @@ -352,6 +368,7 @@ whole_numbers.symmetric_difference(some_numbers) # {0, 6, 7, 8, 9, 10} python = {'p', 'y', 't', 'h', 'o','n'} dragon = {'d', 'r', 'a', 'g', 'o','n'} python.symmetric_difference(dragon) # {'r', 't', 'p', 'y', 'g', 'a', 'd', 'h'} +# python ^ dragon ``` ### Joining Sets @@ -369,14 +386,16 @@ st2.isdisjoint(st1) # False ```py even_numbers = {0, 2, 4 ,6, 8} -even_numbers = {1, 3, 5, 7, 9} +odd_numbers = {1, 3, 5, 7, 9} even_numbers.isdisjoint(odd_numbers) # True, because no common item python = {'p', 'y', 't', 'h', 'o','n'} dragon = {'d', 'r', 'a', 'g', 'o','n'} -python.disjoint(dragon) # False, there are common items {'o', 'n'} +python.isdisjoint(dragon) # False, there are common items {'o', 'n'} ``` +🌕 You are a rising star . You have just completed day 7 challenges and you are 7 steps ahead in to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 7 ```py @@ -387,22 +406,30 @@ B = {19, 22, 20, 25, 26, 24, 28, 27} age = [22, 19, 24, 25, 26, 24, 25, 24] ``` +### Exercises: Level 1 + 1. Find the length of the set it_companies 2. Add 'Twitter' to it_companies 3. Insert multiple IT companies at once to the set it_companies 4. Remove one of the companies from the set it_companies 5. What is the difference between remove and discard -6. Join A and B -7. Find A intersection B -8. Is A subset of B -9. Are A and B disjoint sets -10. Join A with B and B with A -11. What is the symmetric difference between A and B -12. Delete the sets completely -13. Convert the ages to a set and compare the length of the list and the set, which one is bigger? -14. Explain the difference between the following data types: string, list, tuple and set -15. _I am a teacher and I love to inspire and teach people._ How many unique words have been used in the sentence? + +### Exercises: Level 2 + +1. Join A and B +2. Find A intersection B +3. Is A subset of B +4. Are A and B disjoint sets +5. Join A with B and B with A +6. What is the symmetric difference between A and B +7. Delete the sets completely + +### Exercises: Level 3 + +1. Convert the ages to a set and compare the length of the list and the set, which one is bigger? +2. Explain the difference between the following data types: string, list, tuple and set +3. _I am a teacher and I love to inspire and teach people._ How many unique words have been used in the sentence? Use the split methods and set to get the unique words. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 6](../06_Day_Tuples/06_tuple.md) | [Day 8 >>](../08_Day/08_dictionary.md) +[<< Day 6](../06_Day_Tuples/06_tuples.md) | [Day 8 >>](../08_Day_Dictionaries/08_dictionaries.md) diff --git a/08_Day/08_dictionary.md b/08_Day_Dictionaries/08_dictionaries.md similarity index 88% rename from 08_Day/08_dictionary.md rename to 08_Day_Dictionaries/08_dictionaries.md index acc051c85..07bd049e3 100644 --- a/08_Day/08_dictionary.md +++ b/08_Day_Dictionaries/08_dictionaries.md @@ -1,5 +1,5 @@
-

30 Days Of Python: Day 7 - Dictionary

+

30 Days Of Python: Day 8 - Dictionaries

@@ -9,18 +9,17 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 -
-[<< Day 7 ](../07_Day/07_set.md) | [Day 9 >>](../09_Day/09_conditional.md) +[<< Day 7 ](../07_Day_Sets/07_sets.md) | [Day 9 >>](../09_Day_Conditionals/09_conditionals.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 8](#%f0%9f%93%98-day-8) - - [Dictionary](#dictionary) +- [📘 Day 8](#-day-8) + - [Dictionaries](#dictionaries) - [Creating a Dictionary](#creating-a-dictionary) - [Dictionary Length](#dictionary-length) - [Accessing Dictionary Items](#accessing-dictionary-items) @@ -31,20 +30,20 @@ - [Changing Dictionary to a List of Items](#changing-dictionary-to-a-list-of-items) - [Clearing a Dictionary](#clearing-a-dictionary) - [Deleting a Dictionary](#deleting-a-dictionary) - - [Copying a Dictionary](#copying-a-dictionary) + - [Copy a Dictionary](#copy-a-dictionary) - [Getting Dictionary Keys as a List](#getting-dictionary-keys-as-a-list) - - [Getting Dictionary Values as a List](#getting-dictionary-values-as-list) - - [💻 Exercises: Day 8](#%f0%9f%92%bb-exercises-day-8) + - [Getting Dictionary Values as a List](#getting-dictionary-values-as-a-list) + - [💻 Exercises: Day 8](#-exercises-day-8) # 📘 Day 8 -## Dictionary +## Dictionaries A dictionary is a collection of unordered, modifiable(mutable) paired (key: value) data type. ### Creating a Dictionary -To create a dictionary we use curly brackets, {}. +To create a dictionary we use curly brackets, {} or the *dict()* built-in function. ```py # syntax @@ -62,7 +61,7 @@ person = { 'age':250, 'country':'Finland', 'is_marred':True, - 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'] + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], 'address':{ 'street':'Space street', 'zipcode':'02210' @@ -70,7 +69,7 @@ person = { } ``` -The dictionary above shows that a value could be any different data type:string, boolean, list, tuple, set or a dictionary. +The dictionary above shows that a value could be any data types:string, boolean, list, tuple, set or a dictionary. ### Dictionary Length @@ -90,7 +89,7 @@ person = { 'last_name':'Yetayeh', 'age':250, 'country':'Finland', - 'is_marred':True, + 'is_married':True, 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], 'address':{ 'street':'Space street', @@ -151,7 +150,7 @@ person = { } print(person.get('first_name')) # Asabeneh print(person.get('country')) # Finland -print(person.get('skills')) #['HTML','CSS','JavaScript', 'React', 'Node', 'MongoDB', 'Python'] +print(person.get('skills')) #['JavaScript', 'React', 'Node', 'MongoDB', 'Python'] print(person.get('city')) # None ``` @@ -211,7 +210,7 @@ person = { } } person['first_name'] = 'Eyob' -person['age'] +person['age'] = 252 ``` ### Checking Keys in a Dictionary @@ -256,7 +255,7 @@ person = { } } person.pop('first_name') # Removes the firstname item -person.popitem() # Removes the lastname item +person.popitem() # Removes the address item del person['is_married'] # Removes the is_married item ``` @@ -322,9 +321,11 @@ values = dct.values() print(values) # dict_values(['value1', 'value2', 'value3', 'value4']) ``` +🌕 You are astonishing. Now, you are super charged with the power of dictionaries. You have just completed day 8 challenges and you are 8 steps a head in to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 8 -1. Create a an empty dictionary called dog +1. Create an empty dictionary called dog 2. Add name, color, breed, legs, age to the dog dictionary 3. Create a student dictionary and add first_name, last_name, gender, age, marital status, skills, country, city and address as keys for the dictionary 4. Get the length of the student dictionary @@ -338,4 +339,4 @@ print(values) # dict_values(['value1', 'value2', 'value3', 'value4']) 🎉 CONGRATULATIONS ! 🎉 -[<< Day 7 ](../07_Day/07_set.md) | [Day 9 >>](../09_Day/09_conditional.md) +[<< Day 7 ](../07_Day_Sets/07_sets.md) | [Day 9 >>](../09_Day_Conditionals/09_conditionals.md) diff --git a/09_Day/09_conditional.md b/09_Day_Conditionals/09_conditionals.md similarity index 61% rename from 09_Day/09_conditional.md rename to 09_Day_Conditionals/09_conditionals.md index bae095762..811908c7e 100644 --- a/09_Day/09_conditional.md +++ b/09_Day_Conditionals/09_conditionals.md @@ -1,5 +1,5 @@
-

30 Days Of Python: Day 7 - Conditionals

+

30 Days Of Python: Day 9 - Conditionals

@@ -9,17 +9,16 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 -
-[<< Day 8](../08_Day/08_dictionary.md) | [Day 10 >>](../10_Day/10_loop.md) +[<< Day 8](../08_Day_Dictionaries/08_dictionaries.md) | [Day 10 >>](../10_Day_Loops/10_loops.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 9](#%f0%9f%93%98-day-9) +- [📘 Day 9](#-day-9) - [Conditionals](#conditionals) - [If Condition](#if-condition) - [If Else](#if-else) @@ -28,20 +27,23 @@ - [Nested Conditions](#nested-conditions) - [If Condition and Logical Operators](#if-condition-and-logical-operators) - [If and Or Logical Operators](#if-and-or-logical-operators) - - [💻 Exercises: Day 9](#%f0%9f%92%bb-exercises-day-9) + - [💻 Exercises: Day 9](#-exercises-day-9) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 9 ## Conditionals -By default, statements in python script are executed sequentially from top to bottom. If the processing logic require so, the sequential flow of execution can be altered in two way: +By default, statements in Python script are executed sequentially from top to bottom. If the processing logic require so, the sequential flow of execution can be altered in two way: - Conditional execution: a block of one or more statements will be executed if a certain expression is true - Repetitive execution: a block of one or more statements will be repetitively executed as long as a certain expression is true. In this section, we will cover _if_, _else_, _elif_ statements. The comparison and logical operators we learned in previous sections will be useful here. ### If Condition -In python and other programming languages the key word _if_ we use to check if a condition is true and to execute the block code. Remember the indentation after the colon. +In python and other programming languages the key word _if_ is used to check if a condition is true and to execute the block code. Remember the indentation after the colon. ```py # syntax @@ -49,7 +51,7 @@ if condition: this part of code runs for truthy conditions ``` -**Example: ** +**Example: 1** ```py a = 3 @@ -72,7 +74,7 @@ else: this part of code runs for false conditions ``` -**Example: ** +**Example:** ```py a = 3 @@ -82,7 +84,7 @@ else: print('A is a positive number') ``` -The condition above proves false, therefore the else block was executed. How about if our condition is more than two? We could use _ elif_. +The condition above proves false, therefore the else block was executed. How about if our condition is more than two? We could use _elif_. ### If Elif Else @@ -99,7 +101,7 @@ else: ``` -**Example: ** +**Example:** ```py a = 0 @@ -118,7 +120,7 @@ else: code if condition else code ``` -**Example: ** +**Example:** ```py a = 3 @@ -137,7 +139,7 @@ if condition: code ``` -**Example: ** +**Example:** ```py a = 0 @@ -163,13 +165,13 @@ if condition and condition: code ``` -**Example: ** +**Example:** ```py a = 0 if a > 0 and a % 2 == 0: print('A is an even and positive integer') -elif a > 0 and a % 2 != = 0: +elif a > 0 and a % 2 != 0: print('A is a positive integer') elif a == 0: print('A is zero') @@ -185,7 +187,7 @@ if condition or condition: code ``` -**Example: ** +**Example:** ```py user = 'James' @@ -196,9 +198,14 @@ else: print('Access denied!') ``` +🌕 You are doing great.Never give up because great things take time. You have just completed day 9 challenges and you are 9 steps a head in to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 9 -1. Get user input using input(“Enter your age: ”). If user is 18 or older, give feedback: You are old enough to drive. If below 18 give feedback to wait for the missing amount of years. Output: +### Exercises: Level 1 + +1. Get user input using input(“Enter your age: ”). If user is 18 or older, give feedback: You are old enough to drive. If below 18 give feedback to wait for the missing amount of years. Output: + ```sh Enter your age: 30 You are old enough to learn to drive. @@ -206,58 +213,75 @@ else: Enter your age: 15 You need 3 more years to learn to drive. ``` -2. Compare the values of my_age and your_age using if … else. Who is older (me or you)? Use input(“Enter your age: ”) to get the age as input. You can use a nested condition to print 'year' for 1 year difference in age, 'years' for bigger differences, and a custom text if my_age = your_age. Output: + +2. Compare the values of my_age and your_age using if … else. Who is older (me or you)? Use input(“Enter your age: ”) to get the age as input. You can use a nested condition to print 'year' for 1 year difference in age, 'years' for bigger differences, and a custom text if my_age = your_age. Output: + ```sh Enter your age: 30 You are 5 years older than me. ``` -3. Get two numbers from the user using input prompt. If a is greater than b return a is greater than b, if a is less b return a is smaller than b, else a is equal to b. Output: - ```sh - Enter number one: 4 - Enter number two: 3 - 4 is greater than 3 - ``` -4. Write a code which gives grade to students according to theirs scores: + +3. Get two numbers from the user using input prompt. If a is greater than b return a is greater than b, if a is less b return a is smaller than b, else a is equal to b. Output: + +```sh +Enter number one: 4 +Enter number two: 3 +4 is greater than 3 +``` + +### Exercises: Level 2 + + 1. Write a code which gives grade to students according to theirs scores: + ```sh - 80-100, A - 70-89, B - 60-69, C - 50-59, D - 0-49, F + 90-100, A + 80-89, B + 70-79, C + 60-69, D + 0-59, F ``` -5. Check if the season is Autumn, Winter, Spring or Summer. If the user input is: + + 2. Get the month from user input then check if the season is Autumn, Winter, Spring or Summer. If the user input is: September, October or November, the season is Autumn. December, January or February, the season is Winter. March, April or May, the season is Spring June, July or August, the season is Summer -6. The following list contains some fruits: + 3. The following list contains some fruits: + ```sh fruits = ['banana', 'orange', 'mango', 'lemon'] ``` - If a fruit doesn't exist in the list add the fruit to the list and print the modified list. If the fruit exists print('That fruit already exist in the list') -7. Here we have a person dictionary. Feel free to modify it! - ```py + + If a fruit doesn't exist in the list add the fruit to the list and print the modified list. If the fruit exists print('That fruit already exist in the list') + +### Exercises: Level 3 + + 1. Here we have a person dictionary. Feel free to modify it! + +```py person={ 'first_name': 'Asabeneh', 'last_name': 'Yetayeh', 'age': 250, 'country': 'Finland', - 'is_marred': True, + 'is_married': True, 'skills': ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], 'address': { 'street': 'Space street', 'zipcode': '02210' } } - ``` - * Check if the person dictionary has skills key, if so print out the middle skill in the skills list. - * Check if the person dictionary has skills key, if so check if the person has 'Python' skill and print out the result. - * If a person skills has only JavaScript and React, print('He is a front end developer'), if the person skills has Node, Python, MongoDB, print('He is a backend developer'), if the person skills has React, Node and MongoDB, Print('He is a fullstack developer'), else print('unknown title') - for more accurate results more conditions can be nested! - * If the person is married and if he lives in Finland, print the information in the following format: - ```py - Asabeneh Yetayeh lives in Finland. He is married. - ``` +``` + + * Check if the person dictionary has skills key, if so print out the middle skill in the skills list. + * Check if the person dictionary has skills key, if so check if the person has 'Python' skill and print out the result. + * If a person skills has only JavaScript and React, print('He is a front end developer'), if the person skills has Node, Python, MongoDB, print('He is a backend developer'), if the person skills has React, Node and MongoDB, Print('He is a fullstack developer'), else print('unknown title') - for more accurate results more conditions can be nested! + * If the person is married and if he lives in Finland, print the information in the following format: + +```py + Asabeneh Yetayeh lives in Finland. He is married. +``` 🎉 CONGRATULATIONS ! 🎉 -[<< Day 8](../08_Day/08_dictionary.md) | [Day 10 >>](../10_Day/10_loop.md) +[<< Day 8](../08_Day_Dictionaries/08_dictionaries.md) | [Day 10 >>](../10_Day_Loops/10_loops.md) diff --git a/10_Day/10_loop.md b/10_Day_Loops/10_loops.md similarity index 74% rename from 10_Day/10_loop.md rename to 10_Day_Loops/10_loops.md index 4fffc196a..9192e059d 100644 --- a/10_Day/10_loop.md +++ b/10_Day_Loops/10_loops.md @@ -9,17 +9,16 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - -[<< Day 9](../09_Day/09_conditional.md) | [Day 11 >>](../11_Day/11_function.md) +[<< Day 9](../09_Day_Conditionals/09_conditionals.md) | [Day 11 >>](../11_Day_Functions/11_functions.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 10](#%f0%9f%93%98-day-10) +- [📘 Day 10](#-day-10) - [Loops](#loops) - [While Loop](#while-loop) - [Break and Continue - Part 1](#break-and-continue---part-1) @@ -29,13 +28,16 @@ - [Nested For Loop](#nested-for-loop) - [For Else](#for-else) - [Pass](#pass) - - [💻 Exercises: Day 10](#%f0%9f%92%bb-exercises-day-10) + - [💻 Exercises: Day 10](#-exercises-day-10) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 10 ## Loops -Life is full of routines. In programming we also do lots of repetitive tasks. In order to handle repetitive task programming languages provide loops. Python programming language also provides the following types of two loops: +Life is full of routines. In programming we also do lots of repetitive tasks. In order to handle repetitive task programming languages use loops. Python programming language also provides the following types of two loops: 1. while loop 2. for loop @@ -57,6 +59,7 @@ count = 0 while count < 5: print(count) count = count + 1 +#prints from 0 to 4 ``` In the above while loop, the condition becomes false when count is 5. That is when the loop stops. @@ -83,7 +86,6 @@ else: The above loop condition will be false when count is 5 and the loop stops, and execution starts the else statement. As a result 5 will be printed. - ### Break and Continue - Part 1 - Break: We use break when we like to get out of or stop the loop. @@ -109,7 +111,7 @@ while count < 5: The above while loop only prints 0, 1, 2, but when it reaches 3 it stops. -- Continue: With the continue statement we can stop the current iteration, and continue with the next: +- Continue: With the continue statement we can skip the current iteration, and continue with the next: ```py # syntax @@ -125,6 +127,7 @@ while condition: count = 0 while count < 5: if count == 3: + count += 1 continue print(count) count = count + 1 @@ -136,7 +139,7 @@ The above while loop only prints 0, 1, 2 and 4 (skips 3). A _for_ keyword is used to make a for loop, similar with other programming languages, but with some syntax differences. Loop is used for iterating over a sequence (that is either a list, a tuple, a dictionary, a set, or a string). -- For loop with list +-Using For loop on list ```py # syntax @@ -152,7 +155,7 @@ for number in numbers: # number is temporary name to refer to the list's items, print(number) # the numbers will be printed line by line, from 0 to 5 ``` -- For loop with string +-Using For loop on string ```py # syntax @@ -166,9 +169,13 @@ for iterator in string: language = 'Python' for letter in language: print(letter) + + +for i in range(len(language)): + print(language[i]) ``` -- For loop with tuple +-Using For loop on tuple ```py # syntax @@ -179,7 +186,7 @@ for iterator in tpl: **Example:** ```py -numbers = (0,1,2,3,4,5) +numbers = (0, 1, 2, 3, 4, 5) for number in numbers: print(number) ``` @@ -215,7 +222,7 @@ for key, value in person.items(): print(key, value) # this way we get both keys and values printed out ``` -- Loops in set +-Using For Loop in set ```py # syntax @@ -234,7 +241,7 @@ for company in it_companies: ### Break and Continue - Part 2 Short reminder: -_Break_: We use break when we like to stop our loop before it is completed. +_Break_: We use break when we want to stop our loop before it is completed. ```py # syntax @@ -256,7 +263,7 @@ for number in numbers: In the above example, the loop stops when it reaches 3. -Continue: We use continue when we like to skip some of the steps in the iteration of the loop. +Continue: We use continue when we want to skip some of the steps in the iteration of the loop. ```py # syntax @@ -278,15 +285,15 @@ for number in numbers: print('outside the loop') ``` -In the example above, if the number equals 3, the step *after* the condition (but inside the loop) is skipped and the execution of the loop continues if there are any iterations left. +In the example above, if the number equals 3, the step _after_ the condition (but inside the loop) is skipped and the execution of the loop continues if there are any iterations left. ### The Range Function -The _range()_ function is used to loop through a set of code a certain number of times. The _range(start,end, step)_ takes three parameters: starting, ending and increment. By default it starts from 0 and the increment is 1. The range sequence needs at least 1 argument (end). +The _range()_ function is used to return a list of numbers. The _range(start, end, step)_ takes three parameters: starting, ending and increment. By default it starts from 0 and the increment is 1. The range sequence needs at least 1 argument (end). Creating sequences using range ```py -lst = list(range(11)) +lst = list(range(11)) print(lst) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] st = set(range(1, 11)) # 2 arguments indicate start and end of the sequence, step set to default 1 print(st) # {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} @@ -295,11 +302,15 @@ lst = list(range(0,11,2)) print(lst) # [0, 2, 4, 6, 8, 10] st = set(range(0,11,2)) print(st) # {0, 2, 4, 6, 8, 10} + +# for backward from start to end +lst = list(range(11,0,-2)) +print(lst) # [11,9,7,5,3,1] ``` ```py # syntax -for iterator in range(start, end, increment): +for iterator in range(start, end, step): ``` **Example:** @@ -316,7 +327,7 @@ We can write loops inside a loop. ```py # syntax for x in y: - for t in s: + for t in x: print(t) ``` @@ -347,7 +358,7 @@ If we want to execute some message when the loop ends, we use else. ```py # syntax -for iterator in range(start, end, increment): +for iterator in range(start, end, step): do something else: print('The loop ended') @@ -373,11 +384,16 @@ for number in range(6): pass ``` +🌕 You established a big milestone, you are unstoppable. Keep going! You have just completed day 10 challenges and you are 10 steps a head in to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 10 +### Exercises: Level 1 + 1. Iterate 0 to 10 using for loop, do the same using while loop. 2. Iterate 10 to 0 using for loop, do the same using while loop. 3. Write a loop that makes seven calls to print(), so we get on the output the following triangle: + ```py # ## @@ -387,7 +403,9 @@ for number in range(6): ###### ####### ``` + 4. Use nested loops to create the following: + ```sh # # # # # # # # # # # # # # # # @@ -398,7 +416,9 @@ for number in range(6): # # # # # # # # # # # # # # # # ``` + 5. Print the following pattern: + ```sh 0 x 0 = 0 1 x 1 = 1 @@ -412,20 +432,34 @@ for number in range(6): 9 x 9 = 81 10 x 10 = 100 ``` + 6. Iterate through the list, ['Python', 'Numpy','Pandas','Django', 'Flask'] using a for loop and print out the items. 7. Use for loop to iterate from 0 to 100 and print only even numbers 8. Use for loop to iterate from 0 to 100 and print only odd numbers -9. Use for loop to iterate from 0 to 100 and print the sum of all numbers. + +### Exercises: Level 2 + +1. Use for loop to iterate from 0 to 100 and print the sum of all numbers. + +```sh +The sum of all numbers is 5050. +``` + +2. Use for loop to iterate from 0 to 100 and print the sum of all evens and the sum of all odds. + ```sh - The sum of all numbers is 5050. + The sum of all evens is 2550. And the sum of all odds is 2500. ``` -10. Use for loop to iterate from 0 to 100 and print the sum of all evens and the sum of all odds. - ```sh - The sum of all evens is 2550. And the sum of all odds is 2500. - ``` -11. Go to the data folder and use the countries.py file. Loop through the countries and extract all the countries containing the word _land_. -12. This is a fruit list, ['banana', 'orange', 'mango', 'lemon'] reverse the order using loop. + +### Exercises: Level 3 + +1. Go to the data folder and use the [countries.py](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries.py) file. Loop through the countries and extract all the countries containing the word _land_. +1. This is a fruit list, ['banana', 'orange', 'mango', 'lemon'] reverse the order using loop. +1. Go to the data folder and use the [countries_data.py](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries-data.py) file. + 1. What are the total number of languages in the data + 2. Find the ten most spoken languages from the data + 3. Find the 10 most populated countries in the world 🎉 CONGRATULATIONS ! 🎉 -[<< Day 9](../09_Day/09_conditional.md) | [Day 11 >>](../11_Day/11_function.md) +[<< Day 9](../09_Day_Conditionals/09_conditionals.md) | [Day 11 >>](../11_Day_Functions/11_functions.md) diff --git a/11_Day/11_function.md b/11_Day_Functions/11_functions.md similarity index 61% rename from 11_Day/11_function.md rename to 11_Day_Functions/11_functions.md index 28de92cb8..cbfe6210c 100644 --- a/11_Day/11_function.md +++ b/11_Day_Functions/11_functions.md @@ -9,17 +9,16 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - -[<< Day 10](../10_Day/10_loop.md) | [Day 12 >>](../12_Day/12_module.md) +[<< Day 10](../10_Day_Loops/10_loops.md) | [Day 12 >>](../12_Day_Modules/12_modules.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 11](#%f0%9f%93%98-day-11) +- [📘 Day 11](#-day-11) - [Functions](#functions) - [Defining a Function](#defining-a-function) - [Declaring and Calling a Function](#declaring-and-calling-a-function) @@ -32,21 +31,25 @@ - [Arbitrary Number of Arguments](#arbitrary-number-of-arguments) - [Default and Arbitrary Number of Parameters in Functions](#default-and-arbitrary-number-of-parameters-in-functions) - [Function as a Parameter of Another Function](#function-as-a-parameter-of-another-function) - - [💻 Exercises: Day 11](#%f0%9f%92%bb-exercises-day-11) + - [Testimony](#testimony) + - [💻 Exercises: Day 11](#-exercises-day-11) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 11 ## Functions -So far we have seen many built-in python functions. In this section, we will focus on custom functions. What is a function? Before we start making functions, lets learn what a function is and why we need them? +So far we have seen many built-in Python functions. In this section, we will focus on custom functions. What is a function? Before we start making functions, let us learn what a function is and why we need them? ### Defining a Function -A function is a reusable block of code or programming statements designed to perform a certain task. To define a function, Python provides the _def_ keyword. The following is the syntax for defining a function. The function block of code is executed only if we call it. +A function is a reusable block of code or programming statements designed to perform a certain task. To define or declare a function, Python provides the _def_ keyword. The following is the syntax for defining a function. The function block of code is executed only if the function is called or invoked. ### Declaring and Calling a Function -When we make a function we call it declaring a function. When we start using the it we call it calling or invoking a function. Function can be declared with or without parameters. +When we make a function, we call it declaring a function. When we start using the it, we call it _calling_ or _invoking_ a function. Functions can be declared with or without parameters. ```py # syntax @@ -83,7 +86,7 @@ add_two_numbers() ### Function Returning a Value - Part 1 -Function can also return values, if a function does not return any, the value of the function is None. Lets rewrite the above functions using return. From now on, we get a value when calling the function, instead of printing it. +Functions return values using the _return_ statement. If a function has no return statement, it returns None. Let us rewrite the above functions using return. From now on, we get a value from a function when we call the function and print it. ```py def generate_full_name (): @@ -104,7 +107,7 @@ print(add_two_numbers()) ### Function with Parameters -In a function we can pass different data types(number, string, boolean, list, tuple, dictionary or set) as a parameter +In a function we can pass different data types(number, string, boolean, list, tuple, dictionary or set) as parameters. - Single Parameter: If our function takes a parameter we should call our function with an argument @@ -115,7 +118,7 @@ In a function we can pass different data types(number, string, boolean, list, tu codes codes # Calling function - function_name(parameter) + print(function_name(argument)) ``` **Example:** @@ -146,12 +149,12 @@ def sum_of_numbers(n): total = 0 for i in range(n+1): total+=i - print(total) -sum_of_numbers(10) # 55 -sum_of_numbers(100) # 5050 + return total +print(sum_of_numbers(10)) # 55 +print(sum_of_numbers(100)) # 5050 ``` -- Two Parameter: A function may or may not have a parameter or parameters. A function may have two or more parameters. If our function takes parameters we should call it with arguments. Let's check a function with two parameters: +- Two Parameter: A function may or may not have a parameter or parameters. A function may also have two or more parameters. If our function takes parameters we should call it with arguments. Let us check a function with two parameters: ```py # syntax @@ -160,7 +163,7 @@ sum_of_numbers(100) # 5050 codes codes # Calling function - function_name(arg1, arg2) + print(function_name(arg1, arg2)) ``` **Example:** @@ -179,9 +182,9 @@ print('Sum of two numbers: ', sum_two_numbers(1, 9)) def calculate_age (current_year, birth_year): age = current_year - birth_year - return age; + return age -print('Age: ', calculate_age(2019, 1819)) +print('Age: ', calculate_age(2021, 1819)) def weight_of_object (mass, gravity): weight = str(mass * gravity)+ ' N' # the value has to be changed to a string first @@ -200,7 +203,7 @@ def function_name(para1, para2): codes codes # Calling function -function_name(para1='John', para2='Doe') # the order of arguments does not matter here +print(function_name(para1 = 'John', para2 = 'Doe')) # the order of arguments does not matter here ``` **Example:** @@ -210,12 +213,12 @@ def print_fullname(firstname, lastname): space = ' ' full_name = firstname + space + lastname print(full_name) -print_fullname(firstname='Asabeneh', lastname='Yetayeh') +print_fullname(firstname = 'Asabeneh', lastname = 'Yetayeh') def add_two_numbers (num1, num2): total = num1 + num2 - print(total) -add_two_numbers(num2=3, num1=2) # Order does not matter + return total +print(add_two_numbers(num2 = 3, num1 = 2)) # Order does not matter ``` ### Function Returning a Value - Part 2 @@ -249,7 +252,7 @@ print(add_two_numbers(2, 3)) def calculate_age (current_year, birth_year): age = current_year - birth_year - return age; + return age print('Age: ', calculate_age(2019, 1819)) ``` @@ -259,7 +262,6 @@ print('Age: ', calculate_age(2019, 1819)) ```py def is_even (n): if n % 2 == 0: - print('even') return True # return stops further execution of the function, similar to break return False print(is_even(10)) # True @@ -272,7 +274,7 @@ print(is_even(7)) # False ```py def find_even_numbers(n): evens = [] - for i in range(n+1): + for i in range(n + 1): if i % 2 == 0: evens.append(i) return evens @@ -311,10 +313,10 @@ def generate_full_name (first_name = 'Asabeneh', last_name = 'Yetayeh'): print(generate_full_name()) print(generate_full_name('David','Smith')) -def calculate_age (birth_year,current_year = 2019): +def calculate_age (birth_year,current_year = 2021): age = current_year - birth_year - return age; -print('Age: ', calculate_age(1819)) + return age +print('Age: ', calculate_age(1821)) def weight_of_object (mass, gravity = 9.81): weight = str(mass * gravity)+ ' N' # the value has to be changed to string first @@ -345,7 +347,7 @@ def sum_all_nums(*nums): for num in nums: total += num # same as total = total + num return total -print(sum_all_nums(2, 3, 5)) +print(sum_all_nums(2, 3, 5)) # 10 ``` ### Default and Arbitrary Number of Parameters in Functions @@ -354,27 +356,73 @@ print(sum_all_nums(2, 3, 5)) def generate_groups (team,*args): print(team) for i in args: - print(i) + print(i) generate_groups('Team-1','Asabeneh','Brook','David','Eyob') ``` +### Dictionary unpacking + +You can call a function which has named arguments using a dictionary with matching key names. You do so using ``**``. + +```py +# Define a function that takes two arguments: 'name' and 'location' +def greet(name, location): + # Print a greeting message using the provided arguments + print("Hi there", name, "how is the weather in", location) + +# Call the function using keyword arguments +greet(name="Alice", location="New York") +# Output: Hi there Alice how is the weather in New York + +# Create a dictionary with keys matching the function's parameter names +my_dict = {"name": "Alice", "location": "New York"} + +# Call the function using dictionary unpacking +greet(**my_dict) +# The ** operator unpacks the dictionary, passing its key-value pairs +# as keyword arguments to the function. +# Output: Hi there Alice how is the weather in New York +``` + +### Arbitrary Number of Named Arguments + +You can also define a function to accept an arbitrary number of named arguments. + +```py +def arbitrary_named_args(**args): + print("I received an arbitrary number of arguments, totaling", len(args)) + print("They are provided as a dictionary in my function:", type(args)) + print("Let's print them:") + for k, v in args.items(): + print(" * key:", k, "value:", v) +``` + +Generally avoid this unless required as it makes it harder to understand what the function accepts and does. ### Function as a Parameter of Another Function ```py #You can pass functions around as parameters def square_number (n): - return n * n + return n ** n def do_something(f, x): return f(x) -print(do_something(square_number, 3)) +print(do_something(square_number, 3)) # 9 ``` +🌕 You achieved quite a lot so far. Keep going! You have just completed day 11 challenges and you are 11 steps a head in to your way to greatness. Now do some exercises for your brain and muscles. + +## Testimony + +Now it is time to express your thoughts about the Author and 30DaysOfPython. You can leave your testimonial on this [link](https://testimonial-s3sw.onrender.com/) + ## 💻 Exercises: Day 11 +### Exercises: Level 1 + 1. Declare a function _add_two_numbers_. It takes two parameters and it returns a sum. 2. Area of a circle is calculated as follows: area = π x r x r. Write a function that calculates _area_of_circle_. 3. Write a function called add_all_nums which takes arbitrary number of arguments and sums all the arguments. Check if all the list items are number types. If not do give a reasonable feedback. -4. Temperature in °C can be converted to °F using this formula: °F = (°C x 9/5) + 32. Write a function which converts °C to °F, _convert_celcius_to-fahrenheit_. +4. Temperature in °C can be converted to °F using this formula: °F = (°C x 9/5) + 32. Write a function which converts °C to °F, _convert_celsius_to-fahrenheit_. 5. Write a function called check-season, it takes a month parameter and returns the season: Autumn, Winter, Spring or Summer. 6. Write a function called calculate_slope which return the slope of a linear equation 7. Quadratic equation is calculated as follows: ax² + bx + c = 0. Write a function which calculates solution set of a quadratic equation, _solve_quadratic_eqn_. @@ -384,7 +432,7 @@ print(do_something(square_number, 3)) ```py print(reverse_list([1, 2, 3, 4, 5])) # [5, 4, 3, 2, 1] -print(reverse_list1(["A", "B", "C"])) +print(reverse_list(["A", "B", "C"])) # ["C", "B", "A"] ``` @@ -392,34 +440,36 @@ print(reverse_list1(["A", "B", "C"])) 11. Declare a function named add_item. It takes a list and an item parameters. It returns a list with the item added at the end. ```py -food_staff = ['Potato', 'Tomato', 'Mango', 'Milk']; -print( add_item(food_staff, 'Meat')) # ['Potato', 'Tomato', 'Mango', 'Milk','Meat']; +food_stuff = ['Potato', 'Tomato', 'Mango', 'Milk']; +print(add_item(food_stuff, 'Meat')) # ['Potato', 'Tomato', 'Mango', 'Milk','Meat']; numbers = [2, 3, 7, 9]; -print(add_item(numbers, 5)) [2, 3, 7, 9, 5] +print(add_item(numbers, 5)) # [2, 3, 7, 9, 5] + ``` 12. Declare a function named remove_item. It takes a list and an item parameters. It returns a list with the item removed from it. ```py -food_staff = ['Potato', 'Tomato', 'Mango', 'Milk']; -print(remove_item(food_staff, 'Mango')) # ['Potato', 'Tomato', 'Milk']; -numbers = [2, 3, 7, 9]; +food_stuff = ['Potato', 'Tomato', 'Mango', 'Milk'] +print(remove_item(food_stuff, 'Mango')) # ['Potato', 'Tomato', 'Milk']; +numbers = [2, 3, 7, 9] print(remove_item(numbers, 3)) # [2, 7, 9] ``` -13. Declare a function named sum_of_numbers. It takes a number parameter and it adds all the numbers in that range. +13. Declare a function named sum_of_numbers. It takes a number parameter and it adds all the numbers in that range. ```py print(sum_of_numbers(5)) # 15 -print(sum_all_numbers(10)) # 55 -print(sum_all_numbers(100)) # 5050 +print(sum_of_numbers(10)) # 55 +print(sum_of_numbers(100)) # 5050 +``` +14. Declare a function named sum_of_odds. It takes a number parameter and it adds all the odd numbers in that range. +15. Declare a function named sum_of_even. It takes a number parameter and it adds all the even numbers in that - range. -``` +### Exercises: Level 2 -14. Declare a function named sum_of_odds. It takes a number parameter and it adds all the odd numbers in that range. -15. Declare a function named sum_of_even. It takes a number parameter and it adds all the even numbers in that - range. -16. Declare a function named evens_and_odds . It takes a positive integer as parameter and it counts number of evens and odds in the number. +1. Declare a function named evens_and_odds . It takes a positive integer as parameter and it counts number of evens and odds in the number. ```py print(evens_and_odds(100)) @@ -427,18 +477,37 @@ print(sum_all_numbers(100)) # 5050 # The number of evens are 51. ``` -17. Call your function factorial, it takes a whole number as a parameter and it return a factorial of the number -18. Call your function _is_empty_, it takes a parameter and it checks if it is empty or not -19. Write different functions which take lists. They should calculate_mean, calculate_median, calculate_mode, calculate_range, calculate_variance, calculate_std (standard deviation). -20. Write a function called is_prime, which checks if a number is prime. -21. Write a functions which checks if all items are unique in the list. -22. Write a function which checks if all the items of the list are of the same data type. -23. Write a function which check if provided variable is a valid python variable -24. Go to the data folder and access the countries-data.py file. +1. Call your function factorial, it takes a whole number as a parameter and it return a factorial of the number +1. Call your function _is_empty_, it takes a parameter and it checks if it is empty or not +1. Write different functions which take lists. They should calculate_mean, calculate_median, calculate_mode, calculate_range, calculate_variance, calculate_std (standard deviation). +1. Write a function called _greet_ which takes a default argument, _name_. If no argument is supplied it should print "Hello, Guest!", otherwise it should greet the person by name. + +```py + greet() + # "Hello, Guest! + greet("Alice") + # "Hello, Alice!" +``` +1. Create a function called _show_args_ to take an arbitrary number of named arguments and print their names and values. + ```py + show_args(name="Alice", age=30, city="New York") + # Received: name: Alice, age: 30, city: New York + show_args(name="Bob", pet="Fluffy, the bunny") + # Received: name: Bob, pet: Fluffy, the bunny + ``` + + +### Exercises: Level 3 + +1. Write a function called is_prime, which checks if a number is prime. +1. Write a functions which checks if all items are unique in the list. +1. Write a function which checks if all the items of the list are of the same data type. +1. Write a function which check if provided variable is a valid python variable +1. Go to the data folder and access the countries-data.py file. - Create a function called the most_spoken_languages in the world. It should return 10 or 20 most spoken languages in the world in descending order - Create a function called the most_populated_countries. It should return 10 or 20 most populated countries in descending order. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 10](../10_Day/10_loop.md) | [Day 12 >>](../12_Day/12_module.md) +[<< Day 10](../10_Day_Loops/10_loops.md) | [Day 12 >>](../12_Day_Modules/12_modules.md) diff --git a/12_Day/12_module.md b/12_Day_Modules/12_modules.md similarity index 74% rename from 12_Day/12_module.md rename to 12_Day_Modules/12_modules.md index f21756461..07508a88b 100644 --- a/12_Day/12_module.md +++ b/12_Day_Modules/12_modules.md @@ -1,5 +1,5 @@
-

30 Days Of Python: Day 11 - Modules

+

30 Days Of Python: Day 12 - Modules

@@ -9,18 +9,18 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 -
+ -[<< Day 11](../11_Day/11_function.md) | [Day 13>>](../13_Day/13_list_comprehension.md) +[<< Day 11](../11_Day_Functions/11_functions.md) | [Day 13>>](../13_Day_List_comprehension/13_list_comprehension.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 12](#%f0%9f%93%98-day-12) - - [Module](#module) +- [📘 Day 12](#-day-12) + - [Modules](#modules) - [What is a Module](#what-is-a-module) - [Creating a Module](#creating-a-module) - [Importing a Module](#importing-a-module) @@ -33,26 +33,27 @@ - [Math Module](#math-module) - [String Module](#string-module) - [Random Module](#random-module) - - [💻 Exercises: Day 12](#%f0%9f%92%bb-exercises-day-12) + - [💻 Exercises: Day 12](#-exercises-day-12) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 12 -## Module +## Modules ### What is a Module -A module is a file containing a set of codes or a set of functions which can be included to an application. A module could be a file containing a single variable, or a function, a big code base. +A module is a file containing a set of codes or a set of functions which can be included to an application. A module could be a file containing a single variable, a function or a big code base. ### Creating a Module -To create a module we write our codes in a python script and we save it as a .py file. Create a file named mymodule.py inside your project folder. Let write some code in this file. +To create a module we write our codes in a python script and we save it as a .py file. Create a file named mymodule.py inside your project folder. Let us write some code in this file. ```py # mymodule.py file def generate_full_name(firstname, lastname): - space = ' ' - fullname = firstname + space + lastname - return fullname + return firstname + ' ' + lastname ``` Create main.py file in your project directory and import the mymodule.py file. @@ -64,7 +65,7 @@ To import the file we use the _import_ keyword and the name of the file only. ```py # main.py file import mymodule -print(mymodule.generate_full_name('Asabeneh', 'Yetayeh')) +print(mymodule.generate_full_name('Asabeneh', 'Yetayeh')) # Asabeneh Yetayeh ``` ### Import Functions from a Module @@ -74,9 +75,9 @@ We can have many functions in a file and we can import all the functions differe ```py # main.py file from mymodule import generate_full_name, sum_two_nums, person, gravity -print(generate_full_name('Asabneh','Yetay')) +print(generate_full_name('Asabneh','Yetayeh')) print(sum_two_nums(1,9)) -mass = 100; +mass = 100 weight = mass * gravity print(weight) print(person['firstname']) @@ -90,8 +91,8 @@ During importing we can rename the name of the module. # main.py file from mymodule import generate_full_name as fullname, sum_two_nums as total, person as p, gravity as g print(fullname('Asabneh','Yetayeh')) -print(total(1,9)) -mass = 100; +print(total(1, 9)) +mass = 100 weight = mass * g print(weight) print(p) @@ -162,7 +163,7 @@ The statistics module provides functions for mathematical statistics of numeric ```py from statistics import * # importing all the statistics modules -ages = [20,20,24,24,25,22,26,20,23,22,26] +ages = [20, 20, 4, 24, 25, 22, 26, 20, 23, 22, 26] print(mean(ages)) # ~22.9 print(median(ages)) # 23 print(mode(ages)) # 20 @@ -180,10 +181,10 @@ print(math.sqrt(2)) # 1.4142135623730951, square root print(math.pow(2, 3)) # 8.0, exponential function print(math.floor(9.81)) # 9, rounding to the lowest print(math.ceil(9.81)) # 10, rounding to the highest -print(math.log10(100)) # 2, logarithim with 10 as base +print(math.log10(100)) # 2, logarithm with 10 as base ``` -Now, we have imported the math module which contains lots of function whichs can help us to perform mathematical calculations. To check what functions the module has got, you can use _help(math)_, or _dir(math)_. This will display the available functions in the module. If we want to import only a specific function from the module we import it as follows: +Now, we have imported the *math* module which contains lots of function which can help us to perform mathematical calculations. To check what functions the module has got, we can use _help(math)_, or _dir(math)_. This will display the available functions in the module. If we want to import only a specific function from the module we import it as follows: ```py from math import pi @@ -225,7 +226,7 @@ print(PI) # 3.141592653589793 ### String Module -A useful module for many purposes. Below an example of strings we can get from it. +A string module is a useful module for many purposes. The example below shows some use of the string module. ```py import string @@ -236,24 +237,29 @@ print(string.punctuation) # !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~ ### Random Module -By now you are familiar with importing modules. Let's do one more import to get very familiar with it. Let's import _random_ module which gives us a random number between 0 and 0.9999.... The _random_ module has lots of functions but in this section we will only use _random_ and _randint_. +By now you are familiar with importing modules. Let us do one more import to get very familiar with it. Let us import _random_ module which gives us a random number between 0 and 0.9999.... The _random_ module has lots of functions but in this section we will only use _random_ and _randint_. ```py from random import random, randint print(random()) # it doesn't take any arguments; it returns a value between 0 and 0.9999 -print(randint(5, 20)) # it returns a random integer number between 5 and 20 +print(randint(5, 20)) # it returns a random integer number between [5, 20] inclusive ``` +🌕 You are going far. Keep going! You have just completed day 12 challenges and you are 12 steps a head in to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 12 -1. Writ a function which generates a six digit/character random_user_id. +### Exercises: Level 1 + +1. Write a function which generates a six digit/character random_user_id. ```py - print(random_user_id()); + print(random_user_id()) '1ee33d' ``` 2. Modify the previous task. Declare a function named user_id_gen_by_user. It doesn’t take any parameters but it takes two inputs using input(). One of the inputs is the number of characters and the second input is the number of IDs which are supposed to be generated. - ```py -user_id_gen_by_user() # user input: 5 5 + +```py +print(user_id_gen_by_user()) # user input: 5 5 #output: #kcsy2 #SMFYb @@ -261,31 +267,39 @@ user_id_gen_by_user() # user input: 5 5 #ZXOYh #2Rgxf -user_id_gen_by_user() # 16 5 +print(user_id_gen_by_user()) # 16 5 #1GCSgPLMaBAVQZ26 #YD7eFwNQKNs7qXaT #ycArC5yrRupyG00S #UbGxOFI7UXSWAyKN #dIV0SSUTgAdKwStr +``` - ``` 3. Write a function named rgb_color_gen. It will generate rgb colors (3 values ranging from 0 to 255 each). - ```py + +```py print(rgb_color_gen()) # rgb(125,244,255) - the output should be in this form +``` + +### Exercises: Level 2 + +1. Write a function list_of_hexa_colors which returns any number of hexadecimal colors in an array (six hexadecimal numbers written after #. Hexadecimal numeral system is made out of 16 symbols, 0-9 and first 6 letters of the alphabet, a-f. Check the task 6 for output examples). +1. Write a function list_of_rgb_colors which returns any number of RGB colors in an array. +1. Write a function generate_colors which can generate any number of hexa or rgb colors. + +```py + generate_colors('hexa', 3) # ['#a3e12f','#03ed55','#eb3d2b'] + generate_colors('hexa', 1) # ['#b334ef'] + generate_colors('rgb', 3) # ['rgb(5, 55, 175','rgb(50, 105, 100','rgb(15, 26, 80'] + generate_colors('rgb', 1) # ['rgb(33,79, 176)'] ``` -4. Write a function list_of_hexa_colors which returns any number of hexadecimal colors in an array (six hexadecimal numbers written after #. Hexadecimal numeral system is made out of 16 symbols, 0-9 and first 6 letters of the alphabet, a-f. Check the task 6 for output examples). -5. Write a function list_of_rgb_colors which returns any number of RGB colors in an array. -6. Write a function generate_colors which can generate any number of hexa or rgb colors. - ```py - generate_colors('hexa', 3) # ['#a3e12f','#03ed55','#eb3d2b'] - generate_colors('hexa', 1) # ['#b334ef'] - generate_colors('rgb', 3) # ['rgb(5, 55, 175','rgb(50, 105, 100','rgb(15, 26, 80'] - generate_colors('rgb', 1) # ['rgb(33,79, 176)'] - ``` -7. Call your function shuffle_list, it takes a list as a parameter and it returns a shuffled list -8. Write a function which returns an array of seven random numbers in a range of 0-9. All the numbers must be unique. + +### Exercises: Level 3 + +1. Call your function shuffle_list, it takes a list as a parameter and it returns a shuffled list +1. Write a function which returns an array of seven random numbers in a range of 0-9. All the numbers must be unique. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 11](../11_Day/11_function.md) | [Day 13>>](../13_Day/13_list_comprehension.md) +[<< Day 11](../11_Day_Functions/11_functions.md) | [Day 13>>](../13_Day_List_comprehension/13_list_comprehension.md) diff --git a/12_Day_Modules/main.py b/12_Day_Modules/main.py new file mode 100644 index 000000000..e5e3e416e --- /dev/null +++ b/12_Day_Modules/main.py @@ -0,0 +1,10 @@ + +from mymodule import generate_full_name as fullname, sum_two_nums as total, person as p, gravity as g +print(fullname('Asabneh','Yetayeh')) +print(total(1, 9)) +mass = 100 +print(mass) +weight = mass * g +print(weight) +print(p) +print(p['firstname']) \ No newline at end of file diff --git a/12_Day_Modules/mymodule.py b/12_Day_Modules/mymodule.py new file mode 100644 index 000000000..127ab21f1 --- /dev/null +++ b/12_Day_Modules/mymodule.py @@ -0,0 +1,16 @@ +def generate_full_name(firstname, lastname): + space = ' ' + fullname = firstname + space + lastname + return fullname + +def sum_two_nums (num1, num2): + return num1 + num2 +gravity = 9.81 +person = { + "firstname": "Asabeneh", + "age": 250, + "country": "Finland", + "city":'Helsinki' +} + + diff --git a/13_Day/13_list_comprehension.md b/13_Day_List_comprehension/13_list_comprehension.md similarity index 81% rename from 13_Day/13_list_comprehension.md rename to 13_Day_List_comprehension/13_list_comprehension.md index afd48223c..df44d92ed 100644 --- a/13_Day/13_list_comprehension.md +++ b/13_Day_List_comprehension/13_list_comprehension.md @@ -1,5 +1,5 @@
-

30 Days Of Python: Day 12 - List Comprehension

+

30 Days Of Python: Day 13 - List Comprehension

@@ -9,22 +9,22 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 -
+ -[<< Day 12](../12_Day/12_module.md) | [Day 14>>](../14_Day/14_higher_order_function.md) +[<< Day 12](../12_Day_Modules/12_modules.md) | [Day 14>>](../14_Day_Higher_order_functions/14_higher_order_functions.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 13](#%f0%9f%93%98-day-13) +- [📘 Day 13](#-day-13) - [List Comprehension](#list-comprehension) - [Lambda Function](#lambda-function) - [Creating a Lambda Function](#creating-a-lambda-function) - [Lambda Function Inside Another Function](#lambda-function-inside-another-function) - - [💻 Exercises: Day 13](#%f0%9f%92%bb-exercises-day-13) + - [💻 Exercises: Day 13](#-exercises-day-13) # 📘 Day 13 @@ -34,7 +34,7 @@ List comprehension in Python is a compact way of creating a list from a sequence ```py # syntax -[i for i in iterable if expression] +[expression for i in iterable if condition] ``` **Example:1** @@ -89,12 +89,12 @@ odd_numbers = [i for i in range(21) if i % 2 != 0] # to generate odd numbers in print(odd_numbers) # [1, 3, 5, 7, 9, 11, 13, 15, 17, 19] # Filter numbers: let's filter out positive even numbers from the list below numbers = [-8, -7, -3, -1, 0, 1, 3, 4, 5, 7, 6, 8, 10] -positive_even_numbers = [i for i in range(21) if i % 2 == 0 and i > 0] +positive_even_numbers = [i for i in numbers if i % 2 == 0 and i > 0] print(positive_even_numbers) # [2, 4, 6, 8, 10, 12, 14, 16, 18, 20] -# Flattening a three dimensional array -three_dimen_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] -flattened_list = [ number for row in three_dimen_list for number in row] +# Flattening a two dimensional array +list_of_lists = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] +flattened_list = [ number for row in list_of_lists for number in row] print(flattened_list) # [1, 2, 3, 4, 5, 6, 7, 8, 9] ``` @@ -108,7 +108,7 @@ To create a lambda function we use _lambda_ keyword followed by a parameter(s), ```py # syntax -x = lambda param1, param2, param3: param1 + param2 + param2 +x = lambda param1, param2, param3: param1 + param2 + param3 print(x(arg1, arg2, arg3)) ``` @@ -119,7 +119,7 @@ print(x(arg1, arg2, arg3)) def add_two_nums(a, b): return a + b -print(2, 3) # 5 +print(add_two_nums(2, 3)) # 5 # Lets change the above function to a lambda function add_two_nums = lambda a, b: a + b print(add_two_nums(2,3)) # 5 @@ -134,7 +134,7 @@ print(cube(3)) # 27 # Multiple variables multiple_variable = lambda a, b, c: a ** 2 - 3 * b + 4 * c -print(multiple_variable(5, 5, 3)) +print(multiple_variable(5, 5, 3)) # 22 ``` ### Lambda Function Inside Another Function @@ -151,6 +151,8 @@ two_power_of_five = power(2)(5) print(two_power_of_five) # 32 ``` +🌕 Keep up the good work. Keep the momentum going, the sky is the limit! You have just completed day 13 challenges and you are 13 steps a head in to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 13 1. Filter only negative and zero in the list using list comprehension @@ -160,7 +162,7 @@ print(two_power_of_five) # 32 2. Flatten the following list of lists of lists to a one dimensional list : ```py - list_of_lists =[[[1, 2, 3]], [[4, 5, 6]], [[7, 8, 9]]] + list_of_lists =[[1, 2, 3], [4, 5, 6], [7, 8, 9]] output [1, 2, 3, 4, 5, 6, 7, 8, 9] @@ -184,7 +186,7 @@ print(two_power_of_five) # 32 ```py countries = [[('Finland', 'Helsinki')], [('Sweden', 'Stockholm')], [('Norway', 'Oslo')]] output: - ['FINLAND', 'HELSINKI', 'SWEDEN', 'STOCKHOLM', 'NORWAY', 'OSLO'] + [['FINLAND','FIN', 'HELSINKI'], ['SWEDEN', 'SWE', 'STOCKHOLM'], ['NORWAY', 'NOR', 'OSLO']] ``` 5. Change the following list to a list of dictionaries: ```py @@ -196,7 +198,7 @@ print(two_power_of_five) # 32 ``` 6. Change the following list of lists to a list of concatenated strings: ```py - names = [[('Asabeneh', 'Yetaeyeh')], [('David', 'Smith')], [('Donald', 'Trump')], [('Bill', 'Gates')]] + names = [[('Asabeneh', 'Yetayeh')], [('David', 'Smith')], [('Donald', 'Trump')], [('Bill', 'Gates')]] output ['Asabeneh Yetaeyeh', 'David Smith', 'Donald Trump', 'Bill Gates'] ``` @@ -204,4 +206,4 @@ print(two_power_of_five) # 32 🎉 CONGRATULATIONS ! 🎉 -[<< Day 12](../13_Day/13_list_comprehension.md) | [Day 15>>](../15_Day/15_python_type_error.md) +[<< Day 12](../12_Day_Modules/12_modules.md) | [Day 14>>](../14_Day_Higher_order_functions/14_higher_order_functions.md) diff --git a/14_Day/14_higher_order_function.md b/14_Day_Higher_order_functions/14_higher_order_functions.md similarity index 73% rename from 14_Day/14_higher_order_function.md rename to 14_Day_Higher_order_functions/14_higher_order_functions.md index 7fba2e8da..6787584c1 100644 --- a/14_Day/14_higher_order_function.md +++ b/14_Day_Higher_order_functions/14_higher_order_functions.md @@ -9,15 +9,15 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - - -[<< Day 13](../13_Day/13_list_comprehension.md) | [Day 15>>](../15_Day/15_python_type_error.md) + + +[<< Day 13](../13_Day_List_comprehension/13_list_comprehension.md) | [Day 15>>](../15_Day_Python_type_errors/15_python_type_errors.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 14](#%f0%9f%93%98-day-14) +- [📘 Day 14](#-day-14) - [Higher Order Functions](#higher-order-functions) - [Function as a Parameter](#function-as-a-parameter) - [Function as a Return Value](#function-as-a-return-value) @@ -30,13 +30,16 @@ - [Python - Map Function](#python---map-function) - [Python - Filter Function](#python---filter-function) - [Python - Reduce Function](#python---reduce-function) - - [💻 Exercises: Day 14](#%f0%9f%92%bb-exercises-day-14) + - [💻 Exercises: Day 14](#-exercises-day-14) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 14 ## Higher Order Functions -In python functions are treated as first class citizens, allowing you to perform the following operations on functions: +In Python functions are treated as first class citizens, allowing you to perform the following operations on functions: - A function can take one or more functions as parameters - A function can be returned as a result of another function @@ -46,8 +49,8 @@ In python functions are treated as first class citizens, allowing you to perform In this section, we will cover: 1. Handling functions as parameters -2. Returning functions as return value from other functions -3. Using python closures and decorators +2. Returning functions as return value from another functions +3. Using Python closures and decorators ### Function as a Parameter @@ -55,8 +58,8 @@ In this section, we will cover: def sum_numbers(nums): # normal function return sum(nums) # a sad function abusing the built-in sum function :< -def higher_order_function(f, *args): # function as a parameter - summation = f(*args) +def higher_order_function(f, lst): # function as a parameter + summation = f(lst) return summation result = higher_order_function(sum_numbers, [1, 2, 3, 4, 5]) print(result) # 15 @@ -97,14 +100,13 @@ You can see from the above example that the higher order function is returning d ## Python Closures -Python allows a nested function to access the outer scope of the enclosing function. This is is known as a Closure. Let’s have a look at how closures work in Python. In Python, closure is created by nesting a function inside another encapsulating function and then returning the inner function. See the example below. +Python allows a nested function to access the outer scope of the enclosing function. This is is known as a Closure. Let us have a look at how closures work in Python. In Python, closure is created by nesting a function inside another encapsulating function and then returning the inner function. See the example below. **Example:** ```py def add_ten(): ten = 10 - def add(num): return num + ten return add @@ -137,7 +139,7 @@ def uppercase_decorator(function): g = uppercase_decorator(greeting) print(g()) # WELCOME TO PYTHON -## Lets implement the example above with a decorator +## Let us implement the example above with a decorator '''This decorator function is a higher order function that takes a function as a parameter''' @@ -168,22 +170,21 @@ def uppercase_decorator(function): make_uppercase = func.upper() return make_uppercase return wrapper + # Second decorator def split_string_decorator(function): def wrapper(): func = function() splitted_string = func.split() return splitted_string - return wrapper +#Decorators will be executed from bottom to top @split_string_decorator @uppercase_decorator # order with decorators is important in this case - .upper() function does not work with lists - def greeting(): return 'Welcome to Python' -print(greeting()) # WELCOME TO PYTHON - +print(greeting()) # ['WELCOME', 'TO', 'PYTHON'] ``` ### Accepting Parameters in Decorator Functions @@ -200,7 +201,7 @@ def decorator_with_parameters(function): @decorator_with_parameters def print_full_name(first_name, last_name, country): print("I am {} {}. I love to teach.".format( - first_name, last_name, country)) + first_name, last_name)) print_full_name("Asabeneh", "Yetayeh",'Finland') ``` @@ -251,7 +252,7 @@ def change_to_upper(name): names_upper_cased = map(change_to_upper, names) print(list(names_upper_cased)) # ['ASABENEH', 'LIDIYA', 'ERMIAS', 'ABRAHAM'] -# Lets apply it with a lambda function +# Let us apply it with a lambda function names_upper_cased = map(lambda name: name.upper(), names) print(list(names_upper_cased)) # ['ASABENEH', 'LIDIYA', 'ERMIAS', 'ABRAHAM'] ``` @@ -310,16 +311,15 @@ print(list(long_names)) # ['Asabeneh'] ### Python - Reduce Function -The _reduce()_ function is defined in the functools module and we should import it from this module. Like map and filter it takes two parameters, a function and an iterable. However, it doesn't return another iterable, instead it returns a single value. - -**Example:2** +The _reduce()_ function is defined in the functools module and we should import it from this module. Like map and filter it takes two parameters, a function and an iterable. However, it does not return another iterable, instead it returns a single value. +**Example:1** ```py numbers_str = ['1', '2', '3', '4', '5'] # iterable -def add(x, y): +def add_two_nums(x, y): return int(x) + int(y) -total = reduce(add_two, numbers_str) +total = reduce(add_two_nums, numbers_str) print(total) # 15 ``` @@ -331,32 +331,40 @@ names = ['Asabeneh', 'Lidiya', 'Ermias', 'Abraham'] numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] ``` +### Exercises: Level 1 + 1. Explain the difference between map, filter, and reduce. 2. Explain the difference between higher order function, closure and decorator 3. Define a call function before map, filter or reduce, see examples. 4. Use for loop to print each country in the countries list. 5. Use for to print each name in the names list. 6. Use for to print each number in the numbers list. -7. Use map to create a new list by changing each country to uppercase in the countries list -8. Use map to create a new list by changing each number to its square in the numbers list -9. Use map to change each name to uppercase in the names list -10. Use filter to filter out countries containing 'land'. -11. Use filter to filter out countries having exactly six characters. -12. Use filter to filter out countries containing six letters and more in the country list. -13. Use filter to filter out countries starting with an 'E' -14. Chain two or more list iterators (eg. arr.map(callback).filter(callback).reduce(callback)) -15. Declare a function called get_string_lists which takes a list as a parameter and then returns a list containing only string items. -16. Use reduce to sum all the numbers in the numbers list. -17. Use reduce to concatenate all the countries and to produce this sentence: Estonia, Finland, Sweden, Denmark, Norway, and Iceland are north European countries -18. Declare a function called categorize_countries that returns a list of countries with some common pattern (you can find the [countries list](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries.py) in this repository as countries.js(eg 'land', 'ia', 'island', 'stan')). -19. Create a function returning a dictionary, where keys stand for starting letters of countries and values are the number of country names starting with that letter. -20. Declare a get_first_ten_countries function - it returns a list of first ten countries from the countries.js list in the data folder. -21. Declare a get_last_ten_countries function that returns the last ten countries in the countries list. -23. Use the countries_data.py (https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries-data.py) file and follow the tasks below: + +### Exercises: Level 2 + +1. Use map to create a new list by changing each country to uppercase in the countries list +1. Use map to create a new list by changing each number to its square in the numbers list +1. Use map to change each name to uppercase in the names list +1. Use filter to filter out countries containing 'land'. +1. Use filter to filter out countries having exactly six characters. +1. Use filter to filter out countries containing six letters and more in the country list. +1. Use filter to filter out countries starting with an 'E' +1. Chain two or more list iterators (eg. arr.map(callback).filter(callback).reduce(callback)) +1. Declare a function called get_string_lists which takes a list as a parameter and then returns a list containing only string items. +1. Use reduce to sum all the numbers in the numbers list. +1. Use reduce to concatenate all the countries and to produce this sentence: Estonia, Finland, Sweden, Denmark, Norway, and Iceland are north European countries +1. Declare a function called categorize_countries that returns a list of countries with some common pattern (you can find the [countries list](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries.py) in this repository as countries.js(eg 'land', 'ia', 'island', 'stan')). +1. Create a function returning a dictionary, where keys stand for starting letters of countries and values are the number of country names starting with that letter. +2. Declare a get_first_ten_countries function - it returns a list of first ten countries from the countries.js list in the data folder. +1. Declare a get_last_ten_countries function that returns the last ten countries in the countries list. + +### Exercises: Level 3 + +1. Use the countries_data.py (https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries-data.py) file and follow the tasks below: - Sort countries by name, by capital, by population - Sort out the ten most spoken languages by location. - Sort out the ten most populated countries. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 13](../13_Day/13_list_comprehension.md) | [Day 15>>](../15_Day/15_python_type_error.md) \ No newline at end of file +[<< Day 13](../13_Day_List_comprehension/13_list_comprehension.md) | [Day 15>>](../15_Day_Python_type_errors/15_python_type_errors.md) \ No newline at end of file diff --git a/15_Day/15_python_type_error.md b/15_Day_Python_type_errors/15_python_type_errors.md similarity index 74% rename from 15_Day/15_python_type_error.md rename to 15_Day_Python_type_errors/15_python_type_errors.md index bc2afc512..93b65430e 100644 --- a/15_Day/15_python_type_error.md +++ b/15_Day_Python_type_errors/15_python_type_errors.md @@ -9,15 +9,15 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - + -[<< Day 14](../14_Day/14_higher_order_function.md) | [Day 16 >>](../16_Day/16_python_datetime.md) +[<< Day 14](../14_Day_Higher_order_functions/14_higher_order_functions.md) | [Day 16 >>](../16_Day_Python_date_time/16_python_datetime.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 15](#%f0%9f%93%98-day-15) +- [📘 Day 15](#-day-15) - [Python Error Types](#python-error-types) - [SyntaxError](#syntaxerror) - [NameError](#nameerror) @@ -29,15 +29,15 @@ - [ImportError](#importerror) - [ValueError](#valueerror) - [ZeroDivisionError](#zerodivisionerror) - - [💻 Exercises: Day 15](#%f0%9f%92%bb-exercises-day-15) + - [💻 Exercises: Day 15](#-exercises-day-15) # 📘 Day 15 ## Python Error Types -When we write code it's common that we make a typo or some other common error. If our code fails to run, the python interpreter will display a message, containing feedback with information on where the problem occurs and the type of an error. It will also sometimes gives us suggestions on a possible fix. Understanding different types of errors in programming languages will help us to debug our code quickly and also it makes us better at what we do. +When we write code it is common that we make a typo or some other common error. If our code fails to run, the Python interpreter will display a message, containing feedback with information on where the problem occurs and the type of an error. It will also sometimes gives us suggestions on a possible fix. Understanding different types of errors in programming languages will help us to debug our code quickly and also it makes us better at what we do. -Let's see the most common error types one by one. First let us open our python interactive shell. Go to your you computer terminal and write 'python'. The python interactive shell will be opened. +Let us see the most common error types one by one. First let us open our Python interactive shell. Go to your you computer terminal and write 'python'. The python interactive shell will be opened. ### SyntaxError @@ -45,7 +45,7 @@ Let's see the most common error types one by one. First let us open our python i ```py asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> print 'hello world' @@ -56,12 +56,11 @@ SyntaxError: Missing parentheses in call to 'print'. Did you mean print('hello w >>> ``` -As you can see we made a syntax error because we forgot to enclose the string with parenthesis and python already suggests the solution. Let's fix it. +As you can see we made a syntax error because we forgot to enclose the string with parenthesis and Python already suggests the solution. Let us fix it. ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> print 'hello world' @@ -81,9 +80,8 @@ The error was a _SyntaxError_. After the fix our code was executed without a hit **Example 1: NameError** ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> print(age) @@ -93,12 +91,11 @@ NameError: name 'age' is not defined >>> ``` -As you can see from the message above, name age is not defined. Yes, it is true. We did not define an age variable but we were trying to print it out as if we had had declared it. Now, lets fix this by declaring it and assigning with a value. +As you can see from the message above, name age is not defined. Yes, it is true that we did not define an age variable but we were trying to print it out as if we had had declared it. Now, lets fix this by declaring it and assigning with a value. ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> print(age) @@ -118,9 +115,8 @@ The type of error was a _NameError_. We debugged the error by defining the varia **Example 1: IndexError** ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> numbers = [1, 2, 3, 4, 5] @@ -131,16 +127,15 @@ IndexError: list index out of range >>> ``` -In the example above, python raised an _IndexError_, because the list has only indexes from 0 to 4 , so it was out of range. +In the example above, Python raised an _IndexError_, because the list has only indexes from 0 to 4 , so it was out of range. ### ModuleNotFoundError **Example 1: ModuleNotFoundError** ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import maths @@ -153,9 +148,8 @@ ModuleNotFoundError: No module named 'maths' In the example above, I added an extra s to math deliberately and _ModuleNotFoundError_ was raised. Lets fix it by removing the extra s from math. ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import maths @@ -173,9 +167,8 @@ We fixed it, so let's use some of the functions from the math module. **Example 1: AttributeError** ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import maths @@ -190,12 +183,11 @@ AttributeError: module 'math' has no attribute 'PI' >>> ``` -As you can see, I made a mistake again! Instead of pi, I tried to call a PI function from maths module. It raised an attribute error, it means, that the function does not exist in the module. Lets fix it by changing from PI to pi. +As you can see, I made a mistake again! Instead of pi, I tried to call a PI constant from maths module. It raised an attribute error, it means, that the attribute does not exist in the module. Lets fix it by changing from PI to pi. ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import maths @@ -219,9 +211,8 @@ Now, when we call pi from the math module we got the result. **Example 1: KeyError** ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> users = {'name':'Asab', 'age':250, 'country':'Finland'} @@ -237,9 +228,8 @@ KeyError: 'county' As you can see, there was a typo in the key used to get the dictionary value. so, this is a key error and the fix is quite straight forward. Let's do this! ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> user = {'name':'Asab', 'age':250, 'country':'Finland'} @@ -261,9 +251,8 @@ We debugged the error, our code ran and we got the value. **Example 1: TypeError** ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> 4 + '3' @@ -276,9 +265,8 @@ TypeError: unsupported operand type(s) for +: 'int' and 'str' In the example above, a TypeError is raised because we cannot add a number to a string. First solution would be to convert the string to int or float. Another solution would be converting the number to a string (the result then would be '43'). Let us follow the first fix. ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> 4 + '3' @@ -299,9 +287,8 @@ Error removed and we got the result we expected. **Example 1: TypeError** ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from math import power @@ -314,9 +301,8 @@ ImportError: cannot import name 'power' from 'math' There is no function called power in the math module, it goes with a different name: _pow_. Let's correct it: ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from math import power @@ -332,9 +318,8 @@ ImportError: cannot import name 'power' from 'math' ### ValueError ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> int('12a') @@ -349,9 +334,8 @@ In this case we cannot change the given string to a number, because of the 'a' l ### ZeroDivisionError ```py -Last login: Tue Dec 3 15:20:41 on ttys002 asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> 1/0 @@ -364,7 +348,9 @@ ZeroDivisionError: division by zero We cannot divide a number by zero. We have covered some of the python error types, if you want to check more about it check the python documentation about python error types. -If you are good at reading the error types then you will be able to fix your bugs fast and you will also become a better programmer. +If you are good at reading the error types, then you will be able to fix your bugs fast and you will also become a better programmer. + +🌕 You are excelling. You made it to half way to your way to greatness. Now do some exercises for your brain and for your muscle. ## 💻 Exercises: Day 15 @@ -372,4 +358,4 @@ If you are good at reading the error types then you will be able to fix your bug 🎉 CONGRATULATIONS ! 🎉 -[<< Day 14](../14_Day/14_higher_order_function.md) | [Day 16 >>](../16_Day/16_python_datetime.md) \ No newline at end of file +[<< Day 14](../14_Day_Higher_order_functions/14_higher_order_functions.md) | [Day 16 >>](../16_Day_Python_date_time/16_python_datetime.md) diff --git a/16_Day/16_python_datetime.md b/16_Day_Python_date_time/16_python_datetime.md similarity index 66% rename from 16_Day/16_python_datetime.md rename to 16_Day_Python_date_time/16_python_datetime.md index 7f62e8707..6e93ceb09 100644 --- a/16_Day/16_python_datetime.md +++ b/16_Day_Python_date_time/16_python_datetime.md @@ -9,23 +9,23 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - -[<< Day 15](../15_Day/15_python_type_error.md) | [Day 17 >>](../17_Day/17_exception_handling.md) +[<< Day 15](../15_Day_Python_type_errors/15_python_type_errors.md) | [Day 17 >>](../17_Day_Exception_handling/17_exception_handling.md) + ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 16](#%f0%9f%93%98-day-16) +- [📘 Day 16](#-day-16) - [Python *datetime*](#python-datetime) - [Getting *datetime* Information](#getting-datetime-information) - - [Formating Date Output Using *strftime*](#formating-date-output-using-strftime) + - [Formatting Date Output Using *strftime*](#formatting-date-output-using-strftime) - [String to Time Using *strptime*](#string-to-time-using-strptime) - [Using *date* from *datetime*](#using-date-from-datetime) - [Time Objects to Represent Time](#time-objects-to-represent-time) - - [Difference Between Two Points in Time Using](#difference-between-two-points-in-time) - - [Difference Between Two Points in Time Using *timedelata*](#difference-between-two-points-in-time-using-timedelata) - - [💻 Exercises: Day 16](#%f0%9f%92%bb-exercises-day-16) + - [Difference Between Two Points in Time Using](#difference-between-two-points-in-time-using) + - [Difference Between Two Points in Time Using *timedelta*](#difference-between-two-points-in-time-using-timedelta) + - [💻 Exercises: Day 16](#-exercises-day-16) # 📘 Day 16 ## Python *datetime* @@ -38,29 +38,29 @@ print(dir(datetime)) ['MAXYEAR', 'MINYEAR', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'date', 'datetime', 'datetime_CAPI', 'sys', 'time', 'timedelta', 'timezone', 'tzinfo'] ``` -With dir or help built-in commands it is possible to know the available functions in a certain module. As you can see, in the datetime module there are many functions, but we will focus on _date_, _datetime_, _time_ and _timedelta_. Let's see them one by one. +With dir or help built-in commands it is possible to know the available functions in a certain module. As you can see, in the datetime module there are many functions, but we will focus on _date_, _datetime_, _time_ and _timedelta_. Let se see them one by one. ### Getting *datetime* Information ```py from datetime import datetime now = datetime.now() -print(now) # 2019-12-04 23:34:46.549883 -day = now.day # 4 -month = now.month # 12 -year = now.year # 2019 -hour = now.hour # 23 +print(now) # 2021-07-08 07:34:46.549883 +day = now.day # 8 +month = now.month # 7 +year = now.year # 2021 +hour = now.hour # 7 minute = now.minute # 38 second = now.second timestamp = now.timestamp() print(day, month, year, hour, minute) print('timestamp', timestamp) -print(f'{day}/{month}/{year}, {hour}:{minute}') # 4/12/2019, 23:38 +print(f'{day}/{month}/{year}, {hour}:{minute}') # 8/7/2021, 7:38 ``` Timestamp or Unix timestamp is the number of seconds elapsed from 1st of January 1970 UTC. -### Formating Date Output Using *strftime* +### Formatting Date Output Using *strftime* ```py from datetime import datetime @@ -77,20 +77,20 @@ print(f'{day}/{month}/{year}, {hour}:{minute}') # 1/1/2020, 0:0 ``` -Time formating +Formatting date time using *strftime* method and the documentation can be found [here](https://strftime.org/). ```py from datetime import datetime # current date and time now = datetime.now() t = now.strftime("%H:%M:%S") -print("time:", t) +print("time:", t) # time: 18:21:40 time_one = now.strftime("%m/%d/%Y, %H:%M:%S") # mm/dd/YY H:M:S format -print("time one:", time_one) +print("time one:", time_one) # time one: 06/28/2022, 18:21:40 time_two = now.strftime("%d/%m/%Y, %H:%M:%S") # dd/mm/YY H:M:S format -print("time two:", time_two) +print("time two:", time_two) # time two: 28/06/2022, 18:21:40 ``` ```sh @@ -101,16 +101,17 @@ time two: 05/12/2019, 01:05:01 Here are all the _strftime_ symbols we use to format time. An example of all the formats for this module. -![strftime](./images/strftime.png) +![strftime](../images/strftime.png) ### String to Time Using *strptime* +Here is a [documentation](https://www.programiz.com/python-programming/datetime/strptime) hat helps to understand the format. ```py from datetime import datetime date_string = "5 December, 2019" -print("date_string =", date_string) +print("date_string =", date_string) # date_string = 5 December, 2019 date_object = datetime.strptime(date_string, "%d %B, %Y") -print("date_object =", date_object) +print("date_object =", date_object) # date_object = 2019-12-05 00:00:00 ``` ```sh @@ -123,7 +124,7 @@ date_object = 2019-12-05 00:00:00 ```py from datetime import date d = date(2020, 1, 1) -print(d) +print(d) # 2020-01-01 print('Current date:', d.today()) # 2019-12-05 # date object of today's date today = date.today() @@ -138,16 +139,16 @@ print("Current day:", today.day) # 5 from datetime import time # time(hour = 0, minute = 0, second = 0) a = time() -print("a =", a) +print("a =", a) # a = 00:00:00 # time(hour, minute and second) b = time(10, 30, 50) -print("b =", b) +print("b =", b) # b = 10:30:50 # time(hour, minute and second) c = time(hour=10, minute=30, second=50) -print("c =", c) +print("c =", c) # c = 10:30:50 # time(hour, minute, second, microsecond) d = time(10, 30, 50, 200555) -print("d =", d) +print("d =", d) # d = 10:30:50.200555 ``` output @@ -159,11 +160,12 @@ d = 10:30:50.200555 ### Difference Between Two Points in Time Using ```py +from datetime import date, datetime today = date(year=2019, month=12, day=5) new_year = date(year=2020, month=1, day=1) time_left_for_newyear = new_year - today # Time left for new year: 27 days, 0:00:00 -print('Time left for new year: ', time_left_for_newyear) +print('Time left for new year: ', time_left_for_newyear) # Time left for new year: 27 days, 0:00:00 t1 = datetime(year = 2019, month = 12, day = 5, hour = 0, minute = 59, second = 0) t2 = datetime(year = 2020, month = 1, day = 1, hour = 0, minute = 0, second = 0) @@ -171,7 +173,7 @@ diff = t2 - t1 print('Time left for new year:', diff) # Time left for new year: 26 days, 23: 01: 00 ``` -### Difference Between Two Points in Time Using *timedelata* +### Difference Between Two Points in Time Using *timedelta* ```py from datetime import timedelta @@ -187,18 +189,20 @@ print("t3 =", t3) t3 = 86 days, 22:56:50 ``` +🌕 You are an extraordinary. You are 16 steps a head to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 16 1. Get the current day, month, year, hour, minute and timestamp from datetime module -1. Format the current date using this format: "%m/%d/%Y, %H:%M:%S") -1. Today is 5 December, 2019. Change this time string to time. -1. Calculate the time difference between now and new year. -1. Calculate the time difference between 1 January 1970 and now. -1. Think, what can you use the datetime module for? Examples: +2. Format the current date using this format: "%m/%d/%Y, %H:%M:%S") +3. Today is 5 December, 2019. Change this time string to time. +4. Calculate the time difference between now and new year. +5. Calculate the time difference between 1 January 1970 and now. +6. Think, what can you use the datetime module for? Examples: - Time series analysis - To get a timestamp of any activities in an application - Adding posts on a blog 🎉 CONGRATULATIONS ! 🎉 -[<< Day 15](../15_Day/15_python_type_error.md) | [Day 17 >>](../17_Day/17_exception_handling.md) \ No newline at end of file +[<< Day 15](../15_Day_Python_type_errors/15_python_type_errors.md) | [Day 17 >>](../17_Day_Exception_handling/17_exception_handling.md) diff --git a/17_Day/17_exception_handling.md b/17_Day_Exception_handling/17_exception_handling.md similarity index 77% rename from 17_Day/17_exception_handling.md rename to 17_Day_Exception_handling/17_exception_handling.md index 70b6d10a5..1d5409a05 100644 --- a/17_Day/17_exception_handling.md +++ b/17_Day_Exception_handling/17_exception_handling.md @@ -9,14 +9,15 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - -[<< Day 16](../16_Day/16_python_datetime.md) | [Day 18 >>](../18_Day/18_regular_expression.md) +[<< Day 16](../16_Day_Python_date_time/16_python_datetime.md) | [Day 18 >>](../18_Day_Regular_expressions/18_regular_expressions.md) + ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 17](#%f0%9f%93%98-day-17) + +- [📘 Day 17](#-day-17) - [Exception Handling](#exception-handling) - [Packing and Unpacking Arguments in Python](#packing-and-unpacking-arguments-in-python) - [Unpacking](#unpacking) @@ -30,14 +31,13 @@ - [Zip](#zip) - [Exercises: Day 17](#exercises-day-17) - # 📘 Day 17 ## Exception Handling Python uses _try_ and _except_ to handle errors gracefully. A graceful exit (or graceful handling) of errors is a simple programming idiom - a program detects a serious error condition and "exits gracefully", in a controlled manner as a result. Often the program prints a descriptive error message to a terminal or log as part of the graceful exit, this makes our application more robust. The cause of an exception is often external to the program itself. An example of exceptions could be an incorrect input, wrong file name, unable to find a file, a malfunctioning IO device. Graceful handling of errors prevents our applications from crashing. -We have covered the different python _error_ types in the previous section. If we use _try_ and _except_ in our program, then it won't raise errors in those blocks. +We have covered the different Python _error_ types in the previous section. If we use _try_ and _except_ in our program, then it will not raise errors in those blocks. ![Try and Except](../images/try_except.png) @@ -66,7 +66,6 @@ try: name = input('Enter your name:') year_born = input('Year you were born:') age = 2019 - year_born - print(f'You are {name}. And your age is {age}.') except: print('Something went wrong') @@ -76,7 +75,7 @@ except: Something went wrong ``` -In the above example, the exception block will run and we do not know exactly the problem. To analize the problem, we can use the different error types with except. +In the above example, the exception block will run and we do not know exactly the problem. To analyze the problem, we can use the different error types with except. In the following example, it will handle the error and will also tell us the kind of error raised. @@ -101,7 +100,6 @@ Type error occured ``` In the code above the output is going to be _TypeError_. - Now, let's add an additional block: ```py @@ -109,15 +107,13 @@ try: name = input('Enter your name:') year_born = input('Year you born:') age = 2019 - int(year_born) - - print('You are {name}. And your age is {age}.') + print(f'You are {name}. And your age is {age}.') except TypeError: print('Type error occur') except ValueError: print('Value error occur') except ZeroDivisionError: print('zero division error occur') - else: print('I usually run with the try block') finally: @@ -132,6 +128,19 @@ I usually run with the try block I alway run. ``` +It is also shorten the above code as follows: + +```py +try: + name = input('Enter your name:') + year_born = input('Year you born:') + age = 2019 - int(year_born) + print(f'You are {name}. And your age is {age}.') +except Exception as e: + print(e) + +``` + ## Packing and Unpacking Arguments in Python We use two operators: @@ -139,7 +148,7 @@ We use two operators: - \* for tuples - \*\* for dictionaries -Let's take as an example below. It takes only arguments but we have list. We can unpack the list and changes to argument. +Let us take as an example below. It takes only arguments but we have list. We can unpack the list and changes to argument. ### Unpacking @@ -149,17 +158,17 @@ Let's take as an example below. It takes only arguments but we have list. We can def sum_of_five_nums(a, b, c, d, e): return a + b + c + d + e -lst = [1,2,3,4,5] +lst = [1, 2, 3, 4, 5] print(sum_of_five_nums(lst)) # TypeError: sum_of_five_nums() missing 4 required positional arguments: 'b', 'c', 'd', and 'e' ``` -When we run the this code, it raises an error, because this function takes numbers (not a list) as arguments. Let's unpack/destructure the list. +When we run the this code, it raises an error, because this function takes numbers (not a list) as arguments. Let us unpack/destructure the list. ```py def sum_of_five_nums(a, b, c, d, e): return a + b + c + d + e -lst = [1,2,3,4,5] +lst = [1, 2, 3, 4, 5] print(sum_of_five_nums(*lst)) # 15 ``` @@ -189,7 +198,7 @@ print(one, middle, last) # 1 [2, 3, 4, 5, 6] 7 ```py def unpacking_person_info(name, country, city, age): - return '{name} lives in {country}, {city}. He is {age} year old.' + return f'{name} lives in {country}, {city}. He is {age} year old.' dct = {'name':'Asabeneh', 'country':'Finland', 'city':'Helsinki', 'age':250} print(unpacking_person_info(**dct)) # Asabeneh lives in Finland, Helsinki. He is 250 years old. ``` @@ -216,9 +225,9 @@ print(sum_all(1, 2, 3, 4, 5, 6, 7)) # 28 def packing_person_info(**kwargs): # check the type of kwargs and it is a dict type # print(type(kwargs)) - # Printing dictionary items + # Printing dictionary items for key in kwargs: - print("{key} = {kwargs[key]}") + print(f"{key} = {kwargs[key]}") return kwargs print(packing_person_info(name="Asabeneh", @@ -235,37 +244,45 @@ age = 250 ## Spreading in Python -Like in JavaScript, spreading is possible in python. Let's check it in an example below: +Like in JavaScript, spreading is possible in Python. Let us check it in an example below: ```py lst_one = [1, 2, 3] -lst_two = [4, 5, 6,7] -lst = [0, *list_one, *list_two] +lst_two = [4, 5, 6, 7] +lst = [0, *lst_one, *lst_two] print(lst) # [0, 1, 2, 3, 4, 5, 6, 7] country_lst_one = ['Finland', 'Sweden', 'Norway'] country_lst_two = ['Denmark', 'Iceland'] nordic_countries = [*country_lst_one, *country_lst_two] -print(nordic_countries) ['Finland', 'Sweden', 'Norway', 'Denmark', 'Iceland'] +print(nordic_countries) # ['Finland', 'Sweden', 'Norway', 'Denmark', 'Iceland'] ``` ## Enumerate -In we are interested in an index of a list, we use *enumerate*. +If we are interested in an index of a list, we use _enumerate_ built-in function to get the index of each item in the list. + +```py +for index, item in enumerate([20, 30, 40]): + print(index, item) +``` + ```py +countries = ['Finland', 'Sweden', 'Norway', 'Denmark', 'Iceland'] for index, i in enumerate(countries): - print('hi') if i == 'Finland': - print('The country {i} has been found at index {index}') + print(f'The country {i} has been found at index {index}') ``` + ```sh -The country Finland has been found at index 1. +The country Finland has been found at index 0. ``` ## Zip Sometimes we would like to combine lists when looping through them. See the example below: + ```py -fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits = ['banana', 'orange', 'mango', 'lemon', 'lime'] vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] fruits_and_veges = [] for f, v in zip(fruits, vegetables): @@ -273,16 +290,18 @@ for f, v in zip(fruits, vegetables): print(fruits_and_veges) ``` + ```sh -[{'fruit': 'banana', 'veg': 'Tomato'}, {'fruit': 'orange', 'veg': 'Potato'}, {'fruit': 'mango', 'veg': 'Cabbage'}, {'fruit': 'lemon', 'veg': 'Onion'}] +[{'fruit': 'banana', 'veg': 'Tomato'}, {'fruit': 'orange', 'veg': 'Potato'}, {'fruit': 'mango', 'veg': 'Cabbage'}, {'fruit': 'lemon', 'veg': 'Onion'}, {'fruit': 'lime', 'veg': 'Carrot'}] ``` +🌕 You are determined. You are 17 steps a head to your way to greatness. Now do some exercises for your brain and muscles. + ## Exercises: Day 17 1. names = ['Finland', 'Sweden', 'Norway','Denmark','Iceland', 'Estonia','Russia']. Unpack the first five countries and store them in a variable nordic_countries, store Estonia and Russia in es, and ru respectively. - 🎉 CONGRATULATIONS ! 🎉 -[<< Day 16](../16_Day/16_python_datetime.md) | [Day 18 >>](../18_Day/18_regular_expression.md) \ No newline at end of file +[<< Day 16](../16_Day_Python_date_time/16_python_datetime.md) | [Day 18 >>](../18_Day_Regular_expressions/18_regular_expressions.md) diff --git a/18_Day/18_regular_expression.md b/18_Day_Regular_expressions/18_regular_expressions.md similarity index 69% rename from 18_Day/18_regular_expression.md rename to 18_Day_Regular_expressions/18_regular_expressions.md index b5371c9da..b8b934e7e 100644 --- a/18_Day/18_regular_expression.md +++ b/18_Day_Regular_expressions/18_regular_expressions.md @@ -12,32 +12,34 @@ First Edition: Nov 22 - Dec 22, 2019 - -[<< Day 17](../17_Day/17_exception_handling.md) | [Day 19>>](../19_Day/19_file_handling.md) + +[<< Day 17](../17_Day_Exception_handling/17_exception_handling.md) | [Day 19>>](../19_Day_File_handling/19_file_handling.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 18](#%f0%9f%93%98-day-18) - - [Regular Expressions](#regular-expression) - - [The *re* Module](#The-re-module) - - [Functions in *re* Module](#functions-in-re-module) +- [📘 Day 18](#-day-18) + - [Regular Expressions](#regular-expressions) + - [The *re* Module](#the-re-module) + - [Methods in *re* Module](#methods-in-re-module) - [Match](#match) - [Search](#search) - [Searching for All Matches Using *findall*](#searching-for-all-matches-using-findall) - - [Replacing a Substring](#replacing-a-Substring) + - [Replacing a Substring](#replacing-a-substring) - [Splitting Text Using RegEx Split](#splitting-text-using-regex-split) - [Writing RegEx Patterns](#writing-regex-patterns) - - [Square Brackets](#square-brackets) + - [Square Bracket](#square-bracket) - [Escape character(\\) in RegEx](#escape-character-in-regex) - [One or more times(+)](#one-or-more-times) - [Period(.)](#period) - [Zero or more times(\*)](#zero-or-more-times) - - [Zero or one times(?)](#zero-or-one-times) - - [Quantifiers in RegEx](#quantifiers-in-regex) - - [Cart ^](#cart) - - [💻 Exercises: Day 18](#%f0%9f%92%bb-exercises-day-18) - + - [Zero or one time(?)](#zero-or-one-time) + - [Quantifier in RegEx](#quantifier-in-regex) + - [Cart ^](#cart-) + - [💻 Exercises: Day 18](#-exercises-day-18) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 18 @@ -53,19 +55,20 @@ After importing the module we can use it to detect or find patterns. import re ``` -### Functions in *re* Module +### Methods in *re* Module To find a pattern we use different set of *re* character sets that allows to search for a match in a string. -* *re.match()*: searches only in the beginning of the first line of the string and returns matched objects if found, else returns none. -* *re.search*: Returns a match object if there is one anywhere in the string, including multiline strings. -* *re.findall*: Returns a list containing all matches -* *re.split*: Takes a string, splits it at the match points, returns a list -* *re.sub*: Replaces one or many matches within a string + +- *re.match()*: searches only in the beginning of the first line of the string and returns matched objects if found, else returns None. +- *re.search*: Returns a match object if there is one anywhere in the string, including multiline strings. +- *re.findall*: Returns a list containing all matches +- *re.split*: Takes a string, splits it at the match points, returns a list +- *re.sub*: Replaces one or many matches within a string #### Match ```py -# syntac +# syntax re.match(substring, string, re.I) # substring is a string or a pattern, string is the text we look for a pattern , re.I is case ignore ``` @@ -82,20 +85,31 @@ span = match.span() print(span) # (0, 15) # Lets find the start and stop position from the span start, end = span -print(start, end) # 0, 15 +print(start, end) # 0 15 substring = txt[start:end] print(substring) # I love to teach ``` As you can see from the example above, the pattern we are looking for (or the substring we are looking for) is *I love to teach*. The match function returns an object **only** if the text starts with the pattern. +```py +import re + +txt = 'I love to teach python and javaScript' +match = re.match('I like to teach', txt, re.I) +print(match) # None +``` + +The string does not string with *I like to teach*, therefore there was no match and the match method returned None. + #### Search ```py # syntax -re.match(substring, string, re.I) +re.search(substring, string, re.I) # substring is a pattern, string is the text we look for a pattern , re.I is case ignore flag ``` + ```py import re @@ -115,7 +129,7 @@ substring = txt[start:end] print(substring) # first ``` -As you can see, search is much better than match because it can look for the pattern throughout the text. Search returns a match object with a first match that was found, otherwise it returns _None_. A much better *re* function is *findall*. This function checks for the pattern through the whole string and returns all the matches as a list. +As you can see, search is much better than match because it can look for the pattern throughout the text. Search returns a match object with a first match that was found, otherwise it returns *None*. A much better *re* function is *findall*. This function checks for the pattern through the whole string and returns all the matches as a list. #### Searching for All Matches Using *findall* @@ -128,10 +142,9 @@ I recommend python for a first programming language''' # It return a list matches = re.findall('language', txt, re.I) print(matches) # ['language', 'language'] - ``` -As you can see, the word language was found two times in the string. Let's practice some more. +As you can see, the word *language* was found two times in the string. Let us practice some more. Now we will look for both Python and python words in the string: ```py @@ -144,7 +157,7 @@ print(matches) # ['Python', 'python'] ``` -Since we are using *re.I* both lowercase and uppercase letters are included. If we don't have that flag, then we will have to write our pattern differently. Let's check it out: +Since we are using *re.I* both lowercase and uppercase letters are included. If we do not have the re.I flag, then we will have to write our pattern differently. Let us check it out: ```py txt = '''Python is the most beautiful language that a human being has ever created. @@ -166,13 +179,13 @@ txt = '''Python is the most beautiful language that a human being has ever creat I recommend python for a first programming language''' match_replaced = re.sub('Python|python', 'JavaScript', txt, re.I) -print(match_replaced) # JavaScript is the most beautiful language that a human being has ever created. +print(match_replaced) # JavaScript is the most beautiful language that a human being has ever created.I recommend python for a first programming language # OR match_replaced = re.sub('[Pp]ython', 'JavaScript', txt, re.I) -print(match_replaced) # JavaScript is the most beautiful language that a human being has ever created. +print(match_replaced) # JavaScript is the most beautiful language that a human being has ever created.I recommend python for a first programming language ``` -Let's add one more example. The following string is really hard to read unless we remove the % symbol. Replacing the % with an empty string will clean the text. +Let us add one more example. The following string is really hard to read unless we remove the % symbol. Replacing the % with an empty string will clean the text. ```py @@ -184,11 +197,11 @@ D%o%es thi%s m%ot%iv%a%te %y%o%u to b%e a t%e%a%cher?''' matches = re.sub('%', '', txt) print(matches) ``` + ```sh -I am teacher and I love teaching. +I am teacher and I love teaching. There is nothing as rewarding as educating and empowering people. -I found teaching more interesting than any other jobs. -Does this motivate you to be a teacher? +I found teaching more interesting than any other jobs. Does this motivate you to be a teacher? ``` ## Splitting Text Using RegEx Split @@ -200,6 +213,7 @@ I found teaching more interesting than any other jobs. Does this motivate you to be a teacher?''' print(re.split('\n', txt)) # splitting using \n - end of line symbol ``` + ```sh ['I am teacher and I love teaching.', 'There is nothing as rewarding as educating and empowering people.', 'I found teaching more interesting than any other jobs.', 'Does this motivate you to be a teacher?'] ``` @@ -207,7 +221,7 @@ print(re.split('\n', txt)) # splitting using \n - end of line symbol ## Writing RegEx Patterns To declare a string variable we use a single or double quote. To declare RegEx variable *r''*. -The following pattern only identifies apple with lowercase, to make it case insensitive either we should rewrite our pattern or we should add a flag. +The following pattern only identifies apple with lowercase, to make it case insensitive either we should rewrite our pattern or we should add a flag. ```py import re @@ -226,46 +240,47 @@ matches = re.findall(regex_pattern, txt) print(matches) # ['Apple', 'apple'] ``` + * []: A set of characters - * [a-c] means, a or b or c - * [a-z] means, any letter from a to z - * [A-Z] means, any character from A to Z - * [0-3] means, 0 or 1 or 2 or 3 - * [0-9] means any number from 0 to 9 - * [A-Za-z0-9] any single character, that is a to z, A to Z or 0 to 9 -* \\: uses to escape special characters - * \d means: match where the string contains digits (numbers from 0-9) - * \D means: match where the string does not contain digits -* . : any character except new line character(\n) -* ^: starts with - * r'^substring' eg r'^love', a sentence that starts with a word love - * r'[^abc] means not a, not b, not c. -* $: ends with - * r'substring$' eg r'love$', sentence that ends with a word love -* *: zero or more times - * r'[a]*' means a optional or it can occur many times. -* +: one or more times - * r'[a]+' means at least once (or more) -* ?: zero or one time - * r'[a]?' means zero times or once -* {3}: Exactly 3 characters -* {3,}: At least 3 characters -* {3,8}: 3 to 8 characters -* |: Either or - * r'apple|banana' means either apple or a banana -* (): Capture and group + - [a-c] means, a or b or c + - [a-z] means, any letter from a to z + - [A-Z] means, any character from A to Z + - [0-3] means, 0 or 1 or 2 or 3 + - [0-9] means any number from 0 to 9 + - [A-Za-z0-9] any single character, that is a to z, A to Z or 0 to 9 +- \\: uses to escape special characters + - \d means: match where the string contains digits (numbers from 0-9) + - \D means: match where the string does not contain digits +- . : any character except new line character(\n) +- ^: starts with + - r'^substring' eg r'^love', a sentence that starts with a word love + - r'[^abc] means not a, not b, not c. +- $: ends with + - r'substring$' eg r'love$', sentence that ends with a word love +- *: zero or more times + - r'[a]*' means a optional or it can occur many times. +- +: one or more times + - r'[a]+' means at least once (or more) +- ?: zero or one time + - r'[a]?' means zero times or once +- {3}: Exactly 3 characters +- {3,}: At least 3 characters +- {3,8}: 3 to 8 characters +- |: Either or + - r'apple|banana' means either apple or a banana +- (): Capture and group ![Regular Expression cheat sheet](../images/regex.png) -Let's use examples to clarify the meta characters above +Let us use examples to clarify the meta characters above ### Square Bracket -Let's use square bracket to include lower and upper case +Let us use square bracket to include lower and upper case ```py regex_pattern = r'[Aa]pple' # this square bracket mean either A or a -txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away. ' +txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away.' matches = re.findall(regex_pattern, txt) print(matches) # ['Apple', 'apple'] ``` @@ -274,7 +289,7 @@ If we want to look for the banana, we write the pattern as follows: ```py regex_pattern = r'[Aa]pple|[Bb]anana' # this square bracket means either A or a -txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away. ' +txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away.' matches = re.findall(regex_pattern, txt) print(matches) # ['Apple', 'banana', 'apple', 'banana'] ``` @@ -285,31 +300,31 @@ Using the square bracket and or operator , we manage to extract Apple, apple, Ba ```py regex_pattern = r'\d' # d is a special character which means digits -txt = 'This regular expression example was made on December 6, 2019.' +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' matches = re.findall(regex_pattern, txt) -print(matches) # ['6', '2', '0', '1', '9'], this is not what we want +print(matches) # ['6', '2', '0', '1', '9', '8', '2', '0', '2', '1'], this is not what we want ``` ### One or more times(+) ```py regex_pattern = r'\d+' # d is a special character which means digits, + mean one or more times -txt = 'This regular expression example was made on December 6, 2019.' +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' matches = re.findall(regex_pattern, txt) -print(matches) # ['6', '2019'] - now, this is better! +print(matches) # ['6', '2019', '8', '2021'] - now, this is better! ``` ### Period(.) + ```py regex_pattern = r'[a].' # this square bracket means a and . means any character except new line txt = '''Apple and banana are fruits''' matches = re.findall(regex_pattern, txt) print(matches) # ['an', 'an', 'an', 'a ', 'ar'] -regex_pattern = r'[a].+' # . any character, + any character one or more times +regex_pattern = r'[a].+' # . any character, + any character one or more times matches = re.findall(regex_pattern, txt) print(matches) # ['and banana are fruits'] - ``` ### Zero or more times(\*) @@ -317,12 +332,10 @@ print(matches) # ['and banana are fruits'] Zero or many times. The pattern could may not occur or it can occur many times. ```py - -regex_pattern = r'[a].*' # . any character, * any character zero or more times +regex_pattern = r'[a].*' # . any character, * any character zero or more times txt = '''Apple and banana are fruits''' matches = re.findall(regex_pattern, txt) print(matches) # ['and banana are fruits'] - ``` ### Zero or one time(?) @@ -331,59 +344,61 @@ Zero or one time. The pattern may not occur or it may occur once. ```py txt = '''I am not sure if there is a convention how to write the word e-mail. -Some people write it email others may write it as Email or E-mail.''' +Some people write it as email others may write it as Email or E-mail.''' regex_pattern = r'[Ee]-?mail' # ? means here that '-' is optional matches = re.findall(regex_pattern, txt) print(matches) # ['e-mail', 'email', 'Email', 'E-mail'] - ``` ### Quantifier in RegEx -We can specify the length of the substring we are looking for in a text, using a curly bracket. Lets imagine, we are interested in a substring with a length of 4 characters: +We can specify the length of the substring we are looking for in a text, using a curly bracket. Let us imagine, we are interested in a substring with a length of 4 characters: ```py -txt = 'This regular expression example was made on December 6, 2019.' +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' regex_pattern = r'\d{4}' # exactly four times matches = re.findall(regex_pattern, txt) -print(matches) # ['2019'] +print(matches) # ['2019', '2021'] -txt = 'This regular expression example was made on December 6, 2019.' -regex_pattern = r'\d{1, 4}' # 1 to 4 +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'\d{1,4}' matches = re.findall(regex_pattern, txt) -print(matches) # ['6', '2019'] - +print(matches) # ['6', '2019', '8', '2021'] ``` ### Cart ^ -* Starts with - +- Starts with + ```py -txt = 'This regular expression example was made on December 6, 2019.' +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' regex_pattern = r'^This' # ^ means starts with matches = re.findall(regex_pattern, txt) print(matches) # ['This'] ``` -* Negation +- Negation ```py -txt = 'This regular expression example was made on December 6, 2019.' +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' regex_pattern = r'[^A-Za-z ]+' # ^ in set character means negation, not A to Z, not a to z, no space matches = re.findall(regex_pattern, txt) -print(matches) # ['6,', '2019.'] +print(matches) # ['6,', '2019', '8', '2021'] ``` - ## 💻 Exercises: Day 18 - 1. What is the most frequent word in the following paragraph? +### Exercises: Level 1 + + 1. What is the most frequent word in the following paragraph? + ```py paragraph = 'I love teaching. If you do not love teaching what else can you love. I love Python if you do not love something which can give you all the capabilities to develop an application what else can you love. ``` + ```sh - [(6, 'love'), + [ + (6, 'love'), (5, 'you'), (3, 'can'), (2, 'what'), @@ -404,18 +419,21 @@ print(matches) # ['6,', '2019.'] (1, 'an'), (1, 'all'), (1, 'Python'), - (1, 'If')] + (1, 'If') + ] ``` -2. The position of some particles on the horizontal x-axis -12, -4, -3 and -1 in the negative direction, 0 at origin, 4 and 8 in the positive direction. Extract these numbers from this whole text and find the distance between the two furthest particles. +2. The position of some particles on the horizontal x-axis are -12, -4, -3 and -1 in the negative direction, 0 at origin, 4 and 8 in the positive direction. Extract these numbers from this whole text and find the distance between the two furthest particles. ```py -points = ['-1', '2', '-4', '-3', '-1', '0', '4', '8'] -sorted_points = [-4, -3, -1, -1, 0, 2, 4, 8] -distance = 12 +points = ['-12', '-4', '-3', '-1', '0', '4', '8'] +sorted_points = [-12, -4, -3, -1, -1, 0, 2, 4, 8] +distance = 8 -(-12) # 20 ``` -3. Write a pattern which identifies if a string is a valid python variable +### Exercises: Level 2 + +1. Write a pattern which identifies if a string is a valid python variable ```sh is_valid_variable('first_name') # True @@ -424,7 +442,9 @@ distance = 12 is_valid_variable('firstname') # True ``` -4. Clean the following text. After cleaning, count three most frequent words in the string. +### Exercises: Level 3 + +1. Clean the following text. After cleaning, count three most frequent words in the string. ```py sentence = '''%I $am@% a %tea@cher%, &and& I lo%#ve %tea@ching%;. There $is nothing; &as& mo@re rewarding as educa@ting &and& @emp%o@wering peo@ple. ;I found tea@ching m%o@re interesting tha@n any other %jo@bs. %Do@es thi%s mo@tivate yo@u to be a tea@cher!?''' @@ -434,8 +454,6 @@ distance = 12 print(most_frequent_words(cleaned_text)) # [(3, 'I'), (2, 'teaching'), (2, 'teacher')] ``` - - 🎉 CONGRATULATIONS ! 🎉 -[<< Day 17](../17_Day/17_exception_handling.md) | [Day 19>>](../19_Day/19_file_handling.md) \ No newline at end of file +[<< Day 17](../17_Day_Exception_handling/17_exception_handling.md) | [Day 19>>](../19_Day_File_handling/19_file_handling.md) diff --git a/19_Day/19_file_handling.md b/19_Day_File_handling/19_file_handling.md similarity index 76% rename from 19_Day/19_file_handling.md rename to 19_Day_File_handling/19_file_handling.md index 143fe28d0..da1e12bf7 100644 --- a/19_Day/19_file_handling.md +++ b/19_Day_File_handling/19_file_handling.md @@ -6,49 +6,49 @@ Twitter Follow - Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 +Second Edition: July, 2021 - - -[<< Day 18](../18_Day/18_regular_expression.md) | [Day 20 >>](../20_Day/20_python_package_manager.md) +[<< Day 18](../18_Day_Regular_expressions/18_regular_expressions.md) | [Day 20 >>](../20_Day_Python_package_manager/20_python_package_manager.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 19](#%f0%9f%93%98-day-19) +- [📘 Day 19](#-day-19) - [File Handling](#file-handling) - - [Opening Files for Reading](#opening-file-for-reading) - - [Opening Files for Writing and Updating](#opening-file-for-writing-and-updating) + - [Opening Files for Reading](#opening-files-for-reading) + - [Opening Files for Writing and Updating](#opening-files-for-writing-and-updating) - [Deleting Files](#deleting-files) - [File Types](#file-types) - - [Files with txt Extension](#file-with-txt-extension) - - [Files with json Extension](#file-with-json-extension) + - [File with txt Extension](#file-with-txt-extension) + - [File with json Extension](#file-with-json-extension) - [Changing JSON to Dictionary](#changing-json-to-dictionary) - [Changing Dictionary to JSON](#changing-dictionary-to-json) - [Saving as JSON File](#saving-as-json-file) - [File with csv Extension](#file-with-csv-extension) - [File with xlsx Extension](#file-with-xlsx-extension) - [File with xml Extension](#file-with-xml-extension) - - [💻 Exercises: Day 19](#%f0%9f%92%bb-exercises-day-19) + - [💻 Exercises: Day 19](#-exercises-day-19) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 19 ## File Handling -So far we have seen different python data types. We usually store our data in different file formats. In addition to handling files, we will also see different file formats(.txt, .json, .xml, .csv, .tsv, .excel) in this section. First, let's get familiar with handling files with common file format (.txt). +So far we have seen different Python data types. We usually store our data in different file formats. In addition to handling files, we will also see different file formats(.txt, .json, .xml, .csv, .tsv, .excel) in this section. First, let us get familiar with handling files with common file format(.txt). -File handling is an import part of programming which allows us to create, read, update and delete files. In python to handle data we use _open()_ built-in function. +File handling is an import part of programming which allows us to create, read, update and delete files. In Python to handle data we use _open()_ built-in function. ```py # Syntax open('filename', mode) # mode(r, a, w, x, t,b) could be to read, write, update ``` -- "r" - Read - Default value. Opens a file for reading, error if the file does not exist +- "r" - Read - Default value. Opens a file for reading, it returns an error if the file does not exist - "a" - Append - Opens a file for appending, creates the file if it does not exist - "w" - Write - Opens a file for writing, creates the file if it does not exist - "x" - Create - Creates the specified file, returns an error if the file exists @@ -57,16 +57,16 @@ open('filename', mode) # mode(r, a, w, x, t,b) could be to read, write, update ### Opening Files for Reading -The default mode of _open_ is reading, so we do not have to specify 'r' or 'rt'. I have created and saved a file named reading_file_example.txt in the files directory. Let's see how it is done: +The default mode of _open_ is reading, so we do not have to specify 'r' or 'rt'. I have created and saved a file named reading_file_example.txt in the files directory. Let us see how it is done: ```py f = open('./files/reading_file_example.txt') print(f) # <_io.TextIOWrapper name='./files/reading_file_example.txt' mode='r' encoding='UTF-8'> ``` -As you can see in the example above, I printed the opened file and it gave me some information about it. Opened file has different reading methods: _read()_, _readline_, _readlines_. An opened file has to be closed with _close()_ method. +As you can see in the example above, I printed the opened file and it gave some information about it. Opened file has different reading methods: _read()_, _readline_, _readlines_. An opened file has to be closed with _close()_ method. -- _read()_: read the whole text as string. If we want to limit the number of characters we read, we can limit it by passing int value to the methods. +- _read()_: read the whole text as string. If we want to limit the number of characters we want to read, we can limit it by passing int value to the *read(number)* method. ```py f = open('./files/reading_file_example.txt') @@ -147,7 +147,7 @@ f.close() ['This is an example to show how to open a file and read.', 'This is the second line of the text.'] ``` -After we open a file, we should close it. There is a high tendency of forgetting to close them. There is a new way of opening files using _with_ - closes the files by itself. Let's rewrite the the previous example with the _with_ method: +After we open a file, we should close it. There is a high tendency of forgetting to close them. There is a new way of opening files using _with_ - closes the files by itself. Let us rewrite the the previous example with the _with_ method: ```py with open('./files/reading_file_example.txt') as f: @@ -166,10 +166,10 @@ with open('./files/reading_file_example.txt') as f: To write to an existing file, we must add a mode as parameter to the _open()_ function: -- "a" - append - will append to the end of the file, if the file does not exist it raise FileNotFoundError. +- "a" - append - will append to the end of the file, if the file does not exist it creates a new file. - "w" - write - will overwrite any existing content, if the file does not exist it creates. -Let's append some text to the file we have been reading: +Let us append some text to the file we have been reading: ```py with open('./files/reading_file_example.txt','a') as f: @@ -197,21 +197,21 @@ If the file does not exist, the remove method will raise an error, so it is good ```py import os -if os.path.exist('./files/example.txt'): +if os.path.exists('./files/example.txt'): os.remove('./files/example.txt') else: - os.remove('The file does not exist') + print('The file does not exist') ``` ## File Types ### File with txt Extension -File with _txt_ extension is a very common form of data and we have covered it in the previous section. Let's move to the JSON file +File with _txt_ extension is a very common form of data and we have covered it in the previous section. Let us move to the JSON file ### File with json Extension -JSON stands for JavaScript Object Notation. Actually, it's a stringified JavaScript object. +JSON stands for JavaScript Object Notation. Actually, it is a stringified JavaScript object or Python dictionary. _Example:_ @@ -250,12 +250,14 @@ person_json = '''{ }''' # let's change JSON to dictionary person_dct = json.loads(person_json) +print(type(person_dct)) print(person_dct) print(person_dct['name']) ``` ```sh # output + {'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'skills': ['JavaScrip', 'React', 'Python']} Asabeneh ``` @@ -298,7 +300,7 @@ print(person_json) ### Saving as JSON File -We can also save our data as a json file. Let's save it as a json file using the following steps. +We can also save our data as a json file. Let us save it as a json file using the following steps. For writing a json file, we use the json.dump() method, it can take dictionary, output file, ensure_ascii and indent. ```py import json @@ -323,7 +325,7 @@ CSV stands for comma separated values. CSV is a simple file format used to store ```csv "name","country","city","skills" -"Asabeneh","Finland","Helsinki","JavaScrip" +"Asabeneh","Finland","Helsinki","JavaScript" ``` **Example:** @@ -331,7 +333,7 @@ CSV stands for comma separated values. CSV is a simple file format used to store ```py import csv with open('./files/csv_example.csv') as f: - csv_reader = csv.reader(f, delimiter=',') # w use, reader method to read csv + csv_reader = csv.reader(f, delimiter=',') # we use, reader method to read csv line_count = 0 for row in csv_reader: if line_count == 0: @@ -347,6 +349,7 @@ with open('./files/csv_example.csv') as f: ```sh # output: Column names are :name, country, city, skills +Number of lines: 1 Asabeneh is a teacher. He lives in Finland, Helsinki. Number of lines: 2 ``` @@ -355,6 +358,13 @@ Number of lines: 2 To read excel files we need to install _xlrd_ package. We will cover this after we cover package installing using pip. +```py +import xlrd +excel_book = xlrd.open_workbook('sample.xls') +print(excel_book.nsheets) +print(excel_book.sheet_names) +``` + ### File with xml Extension XML is another structured data format which looks like HTML. In XML the tags are not predefined. The first line is an XML declaration. The person tag is the root of the XML. The person has a gender attribute. @@ -396,13 +406,17 @@ field: city field: skills ``` +🌕 You are making a big progress. Maintain your momentum, keep the good work. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 19 +### Exercises: Level 1 + 1. Write a function which count number of lines and number of words in a text. All the files are in the data the folder: - a) Read obama_speech.txt file and count number of lines and words - b) Read michelle_obama_speech.txt file and count number of lines and words - c) Read donald_speech.txt file and count number of lines and words - d) Read melina_trump_speech.txt file and count number of lines and words + 1) Read obama_speech.txt file and count number of lines and words + 2) Read michelle_obama_speech.txt file and count number of lines and words + 3) Read donald_speech.txt file and count number of lines and words + 4) Read melina_trump_speech.txt file and count number of lines and words 2. Read the countries_data.json data file in data directory, create a function that finds the ten most spoken languages ```py @@ -433,7 +447,8 @@ field: skills # Your output should look like this print(most_populated_countries(filename='./data/countries_data.json', 10)) - [{'country': 'China', 'population': 1377422166}, + [ + {'country': 'China', 'population': 1377422166}, {'country': 'India', 'population': 1295210000}, {'country': 'United States of America', 'population': 323947000}, {'country': 'Indonesia', 'population': 258705000}, @@ -442,22 +457,26 @@ field: skills {'country': 'Nigeria', 'population': 186988000}, {'country': 'Bangladesh', 'population': 161006790}, {'country': 'Russian Federation', 'population': 146599183}, - {'country': 'Japan', 'population': 126960000}] + {'country': 'Japan', 'population': 126960000} + ] # Your output should look like this print(most_populated_countries(filename='./data/countries_data.json', 3)) - [{'country': 'China', 'population': 1377422166}, + [ + {'country': 'China', 'population': 1377422166}, {'country': 'India', 'population': 1295210000}, - {'country': 'United States of America', 'population': 323947000}] + {'country': 'United States of America', 'population': 323947000} + ] ``` -4. Extract all incoming email addresses as a list from the email_exchange_big.txt file. -5. Find the most common words in the English language. Call the name of your function find_most_common_words, it will take two parameters - a string or a file and a positive integer, indicating the number of words. Your function will return an array of tuples in descending order. Check the output +### Exercises: Level 2 + +1. Extract all incoming email addresses as a list from the email_exchange_big.txt file. +2. Find the most common words in the English language. Call the name of your function find_most_common_words, it will take two parameters - a string or a file and a positive integer, indicating the number of words. Your function will return an array of tuples in descending order. Check the output ```py # Your output should look like this - print(find_most_common_words('sample.txt', 10)) [(10, 'the'), (8, 'be'), @@ -480,18 +499,18 @@ field: skills (5, 'and')] ``` -6. Use the function, find_most_frequent_words to find: - a) The ten most frequent words used in [Obama's speech](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/obama_speech.txt) - b) The ten most frequent words used in [Michelle's speech](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/michelle_obama_speech.txt) - c) The ten most frequent words used in [Trump's speech](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/donald_speech.txt) - d) The ten most frequent words used in [Melina's speech](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/melina_trump_speech.txt) -7. Write a python application that checks similarity between two texts. It takes a file or a string as a parameter and it will evaluate the similarity of the two texts. For instance check the similarity between the transcripts of [Michelle's](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/michelle_obama_speech.txt) and [Melina's](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/melina_trump_speech.txt) speech. You may need a couple of functions, function to clean the text(clean_text), function to remove support words(remove_support_words) and finally to check the similarity(check_text_similarity). List of [stop words](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/stop_words.py) are in the data directory -8. Find the 10 most repeated words in the romeo_and_juliet.txt -9. Read the [hacker news csv](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/hacker_news.csv) file and find out: - a) Count the number of lines containing python or Python - b) Count the number lines containing JavaScript, javascript or Javascript - c) Count the number lines containing Java and not JavaScript +3. Use the function, find_most_frequent_words to find: + 1) The ten most frequent words used in [Obama's speech](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/obama_speech.txt) + 2) The ten most frequent words used in [Michelle's speech](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/michelle_obama_speech.txt) + 3) The ten most frequent words used in [Trump's speech](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/donald_speech.txt) + 4) The ten most frequent words used in [Melina's speech](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/melina_trump_speech.txt) +4. Write a python application that checks similarity between two texts. It takes a file or a string as a parameter and it will evaluate the similarity of the two texts. For instance check the similarity between the transcripts of [Michelle's](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/michelle_obama_speech.txt) and [Melina's](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/melina_trump_speech.txt) speech. You may need a couple of functions, function to clean the text(clean_text), function to remove support words(remove_support_words) and finally to check the similarity(check_text_similarity). List of [stop words](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/stop_words.py) are in the data directory +5. Find the 10 most repeated words in the romeo_and_juliet.txt +6. Read the [hacker news csv](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/hacker_news.csv) file and find out: + 1) Count the number of lines containing python or Python + 2) Count the number lines containing JavaScript, javascript or Javascript + 3) Count the number lines containing Java and not JavaScript 🎉 CONGRATULATIONS ! 🎉 -[<< Day 18](../18_Day/18_regular_expression.md) | [Day 20 >>](../20_Day/20_python_package_manager.md) +[<< Day 18](../18_Day_Regular_expressions/18_regular_expressions.md) | [Day 20 >>](../20_Day_Python_package_manager/20_python_package_manager.md) diff --git a/20_Day/20_python_package_manager.md b/20_Day_Python_package_manager/20_python_package_manager.md similarity index 73% rename from 20_Day/20_python_package_manager.md rename to 20_Day_Python_package_manager/20_python_package_manager.md index 833a93b66..7b583647c 100644 --- a/20_Day/20_python_package_manager.md +++ b/20_Day_Python_package_manager/20_python_package_manager.md @@ -9,21 +9,19 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 +Second Edition: July, 2021 - - -[<< Day 19](../19_Day/19_file_handling.md) | [Day 21 >>](../21_Day/21_class_and_object.md) +[<< Day 19](../19_Day_File_handling/19_file_handling.md) | [Day 21 >>](../21_Day_Classes_and_objects/21_classes_and_objects.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 20](#%f0%9f%93%98-day-20) +- [📘 Day 20](#-day-20) - [Python PIP - Python Package Manager](#python-pip---python-package-manager) - - [What is PIP ?](#what-is-pip) + - [What is PIP ?](#what-is-pip-) - [Installing PIP](#installing-pip) - - [Installing Packages Using PIP](#installing-packages-using-pip) + - [Installing packages using pip](#installing-packages-using-pip) - [Uninstalling Packages](#uninstalling-packages) - [List of Packages](#list-of-packages) - [Show Package](#show-package) @@ -39,19 +37,19 @@ ### What is PIP ? -PIP stands for Preferred installer program. We use _pip_ to install different python packages. -Package is a python module that can contain one or more modules or other packages. A module or modules that we can install to our application is a package. +PIP stands for Preferred installer program. We use _pip_ to install different Python packages. +Package is a Python module that can contain one or more modules or other packages. A module or modules that we can install to our application is a package. In programming, we do not have to write every utility program, instead we install packages and import them to our applications. ### Installing PIP -If you did not install pip, let us do it now. Go to your terminal or command prompt and copy and paste this: +If you did not install pip, let us install it now. Go to your terminal or command prompt and copy and paste this: ```sh asabeneh@Asabeneh:~$ pip install pip ``` -Check if it is installed by writing +Check if pip is installed by writing ```sh pip --version @@ -59,16 +57,16 @@ pip --version ```py asabeneh@Asabeneh:~$ pip --version -pip 19.3.1 from /usr/local/lib/python3.7/site-packages/pip (python 3.7) +pip 21.1.3 from /usr/local/lib/python3.7/site-packages/pip (python 3.9.6) ``` -As you can see, I am using pip version 19.3.1, if you see some number a bit below or above that, means you have pip installed. +As you can see, I am using pip version 21.1.3, if you see some number a bit below or above that, means you have pip installed. -Let's check some of the packages used in the python community for different purposes. Just to let you know that there are lots of packages available for use with different applications. +Let us check some of the packages used in the Python community for different purposes. Just to let you know that there are lots of packages available for use with different applications. ### Installing packages using pip -Let's try to install _numpy_, called numeric python. It is one of the most popular packages in machine learning and data science community. +Let us try to install _numpy_, called numeric python. It is one of the most popular packages in machine learning and data science community. - NumPy is the fundamental package for scientific computing with Python. It contains among other things: - a powerful N-dimensional array object @@ -80,16 +78,16 @@ Let's try to install _numpy_, called numeric python. It is one of the most popul asabeneh@Asabeneh:~$ pip install numpy ``` -Lets start using numpy. Open your python interactive shell, write python and then import numpy as follows: +Let us start using numpy. Open your python interactive shell, write python and then import numpy as follows: ```py asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import numpy >>> numpy.version.version -'1.17.3' +'1.20.1' >>> lst = [1, 2, 3,4, 5] >>> np_arr = numpy.array(lst) >>> np_arr @@ -103,7 +101,7 @@ array([3, 4, 5, 6, 7]) >>> ``` -Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Let's install the big brother of numpy, _pandas_: +Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Let us install the big brother of numpy, _pandas_: ```sh asabeneh@Asabeneh:~$ pip install pandas @@ -111,7 +109,7 @@ asabeneh@Asabeneh:~$ pip install pandas ```py asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import pandas @@ -119,7 +117,7 @@ Type "help", "copyright", "credits" or "license" for more information. This section is not about numpy nor pandas, here we are trying to learn how to install packages and how to import them. If it is needed, we will talk about different packages in other sections. -Let's import a web browser module, which can help us to open any website. We do not install this module, it is already installed by default with python 3. For instance if you like to open any number of websites at any time or if you like to schedule something, this _webbrowser_ module can be of use. +Let us import a web browser module, which can help us to open any website. We do not need to install this module, it is already installed by default with Python 3. For instance if you like to open any number of websites at any time or if you like to schedule something, this _webbrowser_ module can be used. ```py import webbrowser # web browser module to open websites @@ -128,7 +126,7 @@ import webbrowser # web browser module to open websites url_lists = [ 'http://www.python.org', 'https://www.linkedin.com/in/asabeneh/', - 'https://twitter.com/Asabeneh', + 'https://github.com/Asabeneh', 'https://twitter.com/Asabeneh', ] @@ -139,7 +137,7 @@ for url in url_lists: ### Uninstalling Packages -If you do not like to keep the installed packages, you can remove them. +If you do not like to keep the installed packages, you can remove them using the following command. ```sh pip uninstall packagename @@ -164,7 +162,7 @@ pip show packagename ```sh asabeneh@Asabeneh:~$ pip show pandas Name: pandas -Version: 0.25.3 +Version: 1.2.3 Summary: Powerful data structures for data analysis, time series, and statistics Home-page: http://pandas.pydata.org Author: None @@ -180,7 +178,7 @@ If we want even more details, just add --verbose ```sh asabeneh@Asabeneh:~$ pip show --verbose pandas Name: pandas -Version: 0.25.3 +Version: 1.2.3 Summary: Powerful data structures for data analysis, time series, and statistics Home-page: http://pandas.pydata.org Author: None @@ -211,7 +209,7 @@ Entry-points: ### PIP Freeze -Generate output suitable for a requirements file. +Generate installed Python packages with their version and the output is suitable to use it in a requirements file. A requirements.txt file is a file that should contain all the installed Python packages in a Python project. ```sh asabeneh@Asabeneh:~$ pip freeze @@ -227,9 +225,9 @@ The pip freeze gave us the packages used, installed and their version. We use it ### Reading from URL By now you are familiar with how to read or write on a file located on you local machine. Sometimes, we would like to read from a website using url or from an API. -API stands for Application Program Interface. It is a means to exchange structured data between servers primarily as json data. To open a network connection, we need a package called _requests_ - it allows to open a network connection and to implement CRUD(create, read, update and delete) operations. In this section, we will cover only reading part of a CRUD. +API stands for Application Program Interface. It is a means to exchange structured data between servers primarily as json data. To open a network connection, we need a package called _requests_ - it allows to open a network connection and to implement CRUD(create, read, update and delete) operations. In this section, we will cover only reading ore getting part of a CRUD. -Let's install _requests_: +Let us install _requests_: ```py asabeneh@Asabeneh:~$ pip install requests @@ -237,11 +235,11 @@ asabeneh@Asabeneh:~$ pip install requests We will see _get_, _status_code_, _headers_, _text_ and _json_ methods in _requests_ module: - _get()_: to open a network and fetch data from url - it returns a response object - - _status_code_: After we fetched data, we can check the status of the operation (succes, error, etc) + - _status_code_: After we fetched data, we can check the status of the operation (success, error, etc) - _headers_: To check the header types - _text_: to extract the text from the fetched response object - _json_: to extract json data -Let's read a txt file form this website, https://www.w3.org/TR/PNG/iso_8859-1.txt. +Let's read a txt file from this website, https://www.w3.org/TR/PNG/iso_8859-1.txt. ```py import requests # importing the request module @@ -261,7 +259,7 @@ print(response.text) # gives all the text from the page {'date': 'Sun, 08 Dec 2019 18:00:31 GMT', 'last-modified': 'Fri, 07 Nov 2003 05:51:11 GMT', 'etag': '"17e9-3cb82080711c0;50c0b26855880-gzip"', 'accept-ranges': 'bytes', 'cache-control': 'max-age=31536000', 'expires': 'Mon, 07 Dec 2020 18:00:31 GMT', 'vary': 'Accept-Encoding', 'content-encoding': 'gzip', 'access-control-allow-origin': '*', 'content-length': '1616', 'content-type': 'text/plain', 'strict-transport-security': 'max-age=15552000; includeSubdomains; preload', 'content-security-policy': 'upgrade-insecure-requests'} ``` -- Let's read from an api. API stands for Application Program Interface. It is a means to exchange structure data between servers primarily a json data. An example of an api:https://restcountries.eu/rest/v2/all. Let's read this API using _requests_ module. +- Let us read from an API. API stands for Application Program Interface. It is a means to exchange structure data between servers primarily a json data. An example of an API:https://restcountries.eu/rest/v2/all. Let us read this API using _requests_ module. ```py import requests @@ -329,10 +327,10 @@ We use _json()_ method from response object, if the we are fetching JSON data. F ### Creating a Package -We organize a large number of files in different folders and subfolders based on some criteria, so that we can find and manage them easily. As you know, a module can contain multiple objects, such as classes, functions, etc. A package can contain one or more relevant modules. A package is actually a folder containing one or more module files. Let's create a package named mypackage, using the following steps: +We organize a large number of files in different folders and sub-folders based on some criteria, so that we can find and manage them easily. As you know, a module can contain multiple objects, such as classes, functions, etc. A package can contain one or more relevant modules. A package is actually a folder containing one or more module files. Let us create a package named mypackage, using the following steps: -Create a new folder named mypacakge inside 30DaysOfPython folder -Create an empty **init**.py file in the mypackage folder. +Create a new folder named mypackage inside 30DaysOfPython folder +Create an empty **__init__**.py file in the mypackage folder. Create modules arithmetic.py and greet.py with following code: ```py @@ -385,11 +383,11 @@ Now let's open the python interactive shell and try the package we have created: ```sh asabeneh@Asabeneh:~/Desktop/30DaysOfPython$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from mypackage import arithmetics ->>> arithmetics.add_numbers(1,2,3,5) +>>> arithmetics.add_numbers(1, 2, 3, 5) 11 >>> arithmetics.subtract(5, 3) 2 @@ -407,8 +405,8 @@ Type "help", "copyright", "credits" or "license" for more information. >>> ``` -As you can see our package works perfectly. The package folder contains a special file called **init**.py - it stores the package's content. If we put **init**.py in the package folder, python start recognizes it as a package. -The **init**.py exposes specified resources from its modules to be imported to other python files. An empty **init**.py file makes all functions available when a package is imported. The **init**.py is essential for the folder to be recognized by Python as a package. +As you can see our package works perfectly. The package folder contains a special file called **__init__**.py - it stores the package's content. If we put **__init__**.py in the package folder, python start recognizes it as a package. +The **__init__**.py exposes specified resources from its modules to be imported to other python files. An empty **__init__**.py file makes all functions available when a package is imported. The **__init__**.py is essential for the folder to be recognized by Python as a package. ### Further Information About Packages @@ -418,10 +416,9 @@ The **init**.py exposes specified resources from its modules to be imported to o - Web Development - Django - High-level web framework. - _pip install django_ - - Flask - microframework for Python based on Werkzeug, Jinja 2. (It's BSD licensed) + - Flask - micro framework for Python based on Werkzeug, Jinja 2. (It's BSD licensed) - _pip install flask_ - HTML Parser - - [Beautiful Soup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - HTML/XML parser designed for quick turnaround projects like screen-scraping, will accept bad markup. - _pip install beautifulsoup4_ - PyQuery - implements jQuery in Python; faster than BeautifulSoup, apparently. @@ -433,7 +430,7 @@ The **init**.py exposes specified resources from its modules to be imported to o - TkInter - The traditional Python user interface toolkit. - Data Analysis, Data Science and Machine learning - Numpy: Numpy(numeric python) is known as one of the most popular machine learning library in Python. - - Pandas: is a machine learning library in Python that provides data structures of high-level and a wide variety of tools for analysis. + - Pandas: is a data analysis, data science and a machine learning library in Python that provides data structures of high-level and a wide variety of tools for analysis. - SciPy: SciPy is a machine learning library for application developers and engineers. SciPy library contains modules for optimization, linear algebra, integration, image processing, and statistics. - Scikit-Learn: It is NumPy and SciPy. It is considered as one of the best libraries for working with complex data. - TensorFlow: is a machine learning library built by Google. @@ -442,13 +439,21 @@ The **init**.py exposes specified resources from its modules to be imported to o - requests: is a package which we can use to send requests to a server(GET, POST, DELETE, PUT) - _pip install requests_ +🌕 You are always progressing and you are a head of 20 steps to your way to greatness. Now do some exercises for your brain and muscles. + ## Exercises: Day 20 -1. Read this url and find the 10 most frequent words. Romeo_and_juliet = 'http://www.gutenberg.org/files/1112/1112.txt' -2. Read the cats api and cats_api = 'https://api.thecatapi.com/v1/breeds' and find the avarage weight of a cat in metric units. -3. Read the countries api and find the 10 largest countries -4. UCI is one the most common places to get data sets for data science and machine learning. Read the content of UCL (http://mlr.cs.umass.edu/ml/datasets.html). Without additional libraries it will be difficult, so you may try it with BeautifulSoup4 +1. Read this url and find the 10 most frequent words. romeo_and_juliet = 'http://www.gutenberg.org/files/1112/1112.txt' +2. Read the cats API and cats_api = 'https://api.thecatapi.com/v1/breeds' and find : + 1. the min, max, mean, median, standard deviation of cats' weight in metric units. + 2. the min, max, mean, median, standard deviation of cats' lifespan in years. + 3. Create a frequency table of country and breed of cats +3. Read the [countries API](https://restcountries.eu/rest/v2/all) and find + 1. the 10 largest countries + 2. the 10 most spoken languages + 3. the total number of languages in the countries API +4. UCI is one of the most common places to get data sets for data science and machine learning. Read the content of UCL (https://archive.ics.uci.edu/ml/datasets.php). Without additional libraries it will be difficult, so you may try it with BeautifulSoup4 🎉 CONGRATULATIONS ! 🎉 -[<< Day 19](../19_Day/19_file_handling.md) | [Day 21 >>](../21_Day/21_class_and_object.md) +[<< Day 19](../19_Day_File_handling/19_file_handling.md) | [Day 21 >>](../21_Day_Classes_and_objects/21_classes_and_objects.md) diff --git a/20_Day_Python_package_manager/__init__.py b/20_Day_Python_package_manager/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/20_Day_Python_package_manager/arithmetic.py b/20_Day_Python_package_manager/arithmetic.py new file mode 100644 index 000000000..bdb5c1fb2 --- /dev/null +++ b/20_Day_Python_package_manager/arithmetic.py @@ -0,0 +1,25 @@ +def add_numbers(*args): + total = 0 + for num in args: + total += num + return total + + +def subtract(a, b): + return (a - b) + + +def multiple(a, b): + return a * b + + +def division(a, b): + return a / b + + +def remainder(a, b): + return a % b + + +def power(a, b): + return a ** b \ No newline at end of file diff --git a/20_Day_Python_package_manager/greet.py b/20_Day_Python_package_manager/greet.py new file mode 100644 index 000000000..997787d11 --- /dev/null +++ b/20_Day_Python_package_manager/greet.py @@ -0,0 +1,2 @@ +def greet_person(firstname, lastname): + return f'{firstname} {lastname}, welcome to 30DaysOfPython Challenge!' \ No newline at end of file diff --git a/21_Day/21_class_and_object.md b/21_Day_Classes_and_objects/21_classes_and_objects.md similarity index 72% rename from 21_Day/21_class_and_object.md rename to 21_Day_Classes_and_objects/21_classes_and_objects.md index 89e9a8062..7e0e85198 100644 --- a/21_Day/21_class_and_object.md +++ b/21_Day_Classes_and_objects/21_classes_and_objects.md @@ -9,17 +9,16 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 +Second Edition: July, 2021 - -[<< Day 20](../20_Day/20_python_package_manager.md) | [Day 22 >>](../22_Day/22_web_scraping.md) +[<< Day 20](../20_Day_Python_package_manager/20_python_package_manager.md) | [Day 22 >>](../22_Day_Web_scraping/22_web_scraping.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 21](#%f0%9f%93%98-day-21) +- [📘 Day 21](#-day-21) - [Classes and Objects](#classes-and-objects) - [Creating a Class](#creating-a-class) - [Creating an Object](#creating-an-object) @@ -28,24 +27,24 @@ - [Object Default Methods](#object-default-methods) - [Method to Modify Class Default Values](#method-to-modify-class-default-values) - [Inheritance](#inheritance) - - [Overriding Parent Method](#overriding-parent-method) - - [💻 Exercises: Day 21](#%f0%9f%92%bb-exercises-day-21) + - [Overriding parent method](#overriding-parent-method) + - [💻 Exercises: Day 21](#-exercises-day-21) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) # 📘 Day 21 ## Classes and Objects -Python is an object oriented programming language. Everything in Python is an object, with its properties and methods. A number, string, list, dictionary, tuple, set etc. used in a program is an object of a corresponding built-in class. We create class to create an object. A Class is like an object constructor, or a "blueprint" for creating objects. We instantiate a class to create an object. The class defines attributes and the behavior of the object, while the object, on the other hand, represents the class. +Python is an object oriented programming language. Everything in Python is an object, with its properties and methods. A number, string, list, dictionary, tuple, set etc. used in a program is an object of a corresponding built-in class. We create class to create an object. A class is like an object constructor, or a "blueprint" for creating objects. We instantiate a class to create an object. The class defines attributes and the behavior of the object, while the object, on the other hand, represents the class. We have been working with classes and objects right from the beginning of this challenge unknowingly. Every element in a Python program is an object of a class. -Let's check if everything in python is a class: +Let us check if everything in python is a class: ```py -Last login: Tue Dec 10 09:35:28 on console -asabeneh@Asabeneh:~$ pyhton --bash: pyhton: command not found asabeneh@Asabeneh:~$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.9.6 (default, Jun 28 2021, 15:26:21) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> num = 10 @@ -86,6 +85,7 @@ class ClassName: ```py class Person: pass +print(Person) ``` ```sh @@ -103,12 +103,13 @@ print(p) ### Class Constructor -In the examples above, we have created an object from the Person class. However, Class without a constructor is not really useful in real applications. Let's use constructor function to make our class more useful. Like the constructor function in Java or JavaScript, python has also a built-in _**init**()_ constructor function. The _**init**_ constructor function has self parameter which is a reference to the current instance of the class +In the examples above, we have created an object from the Person class. However, a class without a constructor is not really useful in real applications. Let us use constructor function to make our class more useful. Like the constructor function in Java or JavaScript, Python has also a built-in **__init__**() constructor function. The **__init__** constructor function has self parameter which is a reference to the current instance of the class **Examples:** ```py class Person: def __init__ (self, name): + # self allows to attach parameter to the class self.name =name p = Person('Asabeneh') @@ -122,7 +123,7 @@ Asabeneh <__main__.Person object at 0x2abf46907e80> ``` -Let's add more parameters to the constructor function. +Let us add more parameters to the constructor function. ```py class Person: @@ -165,11 +166,9 @@ class Person: self.age = age self.country = country self.city = city - def person_info(self): return f'{self.firstname} {self.lastname} is {self.age} years old. He lives in {self.city}, {self.country}' - p = Person('Asabeneh', 'Yetayeh', 250, 'Finland', 'Helsinki') print(p.person_info()) ``` @@ -181,7 +180,7 @@ Asabeneh Yetayeh is 250 years old. He lives in Helsinki, Finland ### Object Default Methods -Sometimes, you may want to have a default values for you object methods. If we give default values for the parameters in the constructor, we can avoid errors when we call or instantiate our class without parameters. Let's see how it looks: +Sometimes, you may want to have default values for your object methods. If we give default values for the parameters in the constructor, we can avoid errors when we call or instantiate our class without parameters. Let's see how it looks: **Example:** @@ -211,7 +210,7 @@ John Doe is 30 years old. He lives in Noman city, Nomanland. ### Method to Modify Class Default Values -In the example below, the person class, all the constructor parameters have default values. In addition to that, we have skills parameter, which we can access using a method. Let's create add_skill method to add skills to the skills list. +In the example below, the person class, all the constructor parameters have default values. In addition to that, we have skills parameter, which we can access using a method. Let us create add_skill method to add skills to the skills list. ```py class Person: @@ -249,8 +248,8 @@ John Doe is 30 years old. He lives in Noman city, Nomanland. ### Inheritance -Using inheritance we can reuse parent class code. Inheritance allows us to define a class that inherits all the methods and properties from another class. The parent class or super or base class is the class which gives all the methods and properties. Child class is the class that inherits from another class. -Let's create a student class by inheriting from person class. +Using inheritance we can reuse parent class code. Inheritance allows us to define a class that inherits all the methods and properties from parent class. The parent class or super or base class is the class which gives all the methods and properties. Child class is the class that inherits from another or parent class. +Let us create a student class by inheriting from person class. ```py class Student(Person): @@ -281,8 +280,8 @@ Lidiya Teklemariam is 28 years old. He lives in Espoo, Finland. ['Organizing', 'Marketing', 'Digital Marketing'] ``` -We didn't call the _**init**()_ constructor in the child class. If we didn't call it then we can still access all the properties from the parent. But if we do call the constructor we can access the parent properties by calling _super_. -We can add a new method to the child or we can overwrite the parent class by creating the same method name in the child class. When we add the **init**() function, the child class will no longer inherit the parent's **init**() function. +We did not call the **__init__**() constructor in the child class. If we didn't call it then we can still access all the properties from the parent. But if we do call the constructor we can access the parent properties by calling _super_. +We can add a new method to the child or we can override the parent class methods by creating the same method name in the child class. When we add the **__init__**() function, the child class will no longer inherit the parent's **__init__**() function. ### Overriding parent method @@ -317,11 +316,15 @@ Lidiya Teklemariam is 28 years old. She lives in Espoo, Finland. ['Organizing', 'Marketing', 'Digital Marketing'] ``` -We can use super() function or the parent name Person to automatically inherit the methods and properties from its parent. In the example above we override the parant method. The child method has a different feature, it can identify, if the gender is male or female and assign the proper pronoun(He/She). +We can use super() built-in function or the parent name Person to automatically inherit the methods and properties from its parent. In the example above we override the parent method. The child method has a different feature, it can identify, if the gender is male or female and assign the proper pronoun(He/She). + +🌕 Now, you are fully charged with a super power of programming. Now do some exercises for your brain and muscles. ## 💻 Exercises: Day 21 -1. Python has the module called _statistics_ and we can use this module to do all the statistical caluculations. However to challlenge ourselves, let's try to develop a program, which calculates the measure of central tendency of a sample (mean, median, mode) and measure of variability (range, variance, standard deviation). In addition to those measures, find the min, max, count, percentile, and frequency distribution of the sample. You can create a class called Statistics and create all the functions that do statistical calculations as methods for the Statistics class. Check the output below. +### Exercises: Level 1 + +1. Python has the module called _statistics_ and we can use this module to do all the statistical calculations. However, to learn how to make function and reuse function let us try to develop a program, which calculates the measure of central tendency of a sample (mean, median, mode) and measure of variability (range, variance, standard deviation). In addition to those measures, find the min, max, count, percentile, and frequency distribution of the sample. You can create a class called Statistics and create all the functions that do statistical calculations as methods for the Statistics class. Check the output below. ```py ages = [31, 26, 34, 37, 27, 26, 32, 32, 26, 27, 27, 24, 32, 33, 27, 25, 26, 38, 37, 31, 34, 24, 33, 29, 26] @@ -330,11 +333,10 @@ print('Count:', data.count()) # 25 print('Sum: ', data.sum()) # 744 print('Min: ', data.min()) # 24 print('Max: ', data.max()) # 38 -print('Range: ', data.range() # 14 +print('Range: ', data.range()) # 14 print('Mean: ', data.mean()) # 30 print('Median: ', data.median()) # 29 print('Mode: ', data.mode()) # {'mode': 26, 'count': 5} -print('Variance: ', data.var()) # 17.5 print('Standard Deviation: ', data.std()) # 4.2 print('Variance: ', data.var()) # 17.5 print('Frequency Distribution: ', data.freq_dist()) # [(20.0, 26), (16.0, 27), (12.0, 32), (8.0, 37), (8.0, 34), (8.0, 33), (8.0, 31), (8.0, 24), (4.0, 38), (4.0, 29), (4.0, 25)] @@ -356,8 +358,10 @@ Standard Deviation: 4.2 Frequency Distribution: [(20.0, 26), (16.0, 27), (12.0, 32), (8.0, 37), (8.0, 34), (8.0, 33), (8.0, 31), (8.0, 24), (4.0, 38), (4.0, 29), (4.0, 25)] ``` -2. Create a class called PersonAccount. It has firstname, lastname, incomes, expenses properties and it has total_income, total_expense, account_info, add_income, add_expense and account_balance methods. Incomes is a set of incomes and its description. The same goes for expenses. +### Exercises: Level 2 + +1. Create a class called PersonAccount. It has firstname, lastname, incomes, expenses properties and it has total_income, total_expense, account_info, add_income, add_expense and account_balance methods. Incomes is a set of incomes and its description. The same goes for expenses. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 20](../20_Day/20_python_package_manager.md) | [Day 22 >>](../22_Day/22_web_scraping.md) +[<< Day 20](../20_Day_Python_package_manager/20_python_package_manager.md) | [Day 22 >>](../22_Day_Web_scraping/22_web_scraping.md) diff --git a/22_Day/22_web_scraping.md b/22_Day_Web_scraping/22_web_scraping.md similarity index 72% rename from 22_Day/22_web_scraping.md rename to 22_Day_Web_scraping/22_web_scraping.md index da1014ad1..5c6a69bc9 100644 --- a/22_Day/22_web_scraping.md +++ b/22_Day_Web_scraping/22_web_scraping.md @@ -9,20 +9,18 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - - -[<< Day 21](../21_Day/21_class_and_object.md) | [Day 23 >>](../23_Day/23_virtual_environment.md) +[<< Day 21](../21_Day_Classes_and_objects/21_classes_and_objects.md) | [Day 23 >>](../23_Day_Virtual_environment/23_virtual_environment.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 22](#%f0%9f%93%98-day-22) +- [📘 Day 22](#-day-22) - [Python Web Scraping](#python-web-scraping) - [What is Web Scrapping](#what-is-web-scrapping) - - [💻 Exercises: Day 22](#%f0%9f%92%bb-exercises-day-22) + - [💻 Exercises: Day 22](#-exercises-day-22) # 📘 Day 22 @@ -36,28 +34,28 @@ Web scraping is the process of extracting and collecting data from websites and In this section, we will use beautifulsoup and requests package to scrape data. The package version we are using is beautifulsoup 4. -To start scraping websites you need _requests_, _beautifoulSoup4_ and _website_. +To start scraping websites you need _requests_, _beautifoulSoup4_ and a _website_. ```sh pip install requests pip install beautifulsoup4 ``` -To scrape data from websites, basic understanding of HTML tags and css selectors is needed. We target content from a website using HTML tags, classes or/and ids. -Let's import the requests and BeautifulSoup module +To scrape data from websites, basic understanding of HTML tags and CSS selectors is needed. We target content from a website using HTML tags, classes or/and ids. +Let us import the requests and BeautifulSoup module ```py import requests from bs4 import BeautifulSoup ``` -Let's declare url variable for the website which we are going to scrape. +Let us declare url variable for the website which we are going to scrape. ```py import requests from bs4 import BeautifulSoup -url = 'http://mlr.cs.umass.edu/ml/datasets.html' +url = 'https://archive.ics.uci.edu/ml/datasets.php' # Lets use the requests get method to fetch the data from url @@ -76,7 +74,7 @@ Using beautifulSoup to parse content from the page ```py import requests from bs4 import BeautifulSoup -url = 'http://mlr.cs.umass.edu/ml/datasets.html' +url = 'https://archive.ics.uci.edu/ml/datasets.php' response = requests.get(url) content = response.content # we get all the content from the website @@ -97,11 +95,14 @@ for td in table.find('tr').find_all('td'): If you run this code, you can see that the extraction is half done. You can continue doing it because it is part of exercise 1. For reference check the [beautifulsoup documentation](https://www.crummy.com/software/BeautifulSoup/bs4/doc/#quick-start) +🌕 You are so special, you are progressing everyday. You are left with only eight days to your way to greatness. Now do some exercises for your brain and muscles. + ## 💻 Exercises: Day 22 -1. Extract the table in this url (http://mlr.cs.umass.edu/ml/datasets.html) and change it to a json file -2. Scrape the presidents table and store the data as json(https://en.wikipedia.org/wiki/List_of_presidents_of_the_United_States) +1. Scrape the following website and store the data as json file(url = 'http://www.bu.edu/president/boston-university-facts-stats/'). +1. Extract the table in this url (https://archive.ics.uci.edu/ml/datasets.php) and change it to a json file +2. Scrape the presidents table and store the data as json(https://en.wikipedia.org/wiki/List_of_presidents_of_the_United_States). The table is not very structured and the scrapping may take very long time. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 21](../21_Day/21_class_and_object.md) | [Day 23 >>](../23_Day/23_virtual_environment.md) +[<< Day 21](../21_Day_Web_scraping/21_class_and_object.md) | [Day 23 >>](../23_Day_Virtual_environment/23_virtual_environment.md) diff --git a/22_Day_Web_scraping/scrapped_data.json b/22_Day_Web_scraping/scrapped_data.json new file mode 100644 index 000000000..5a1f226e5 --- /dev/null +++ b/22_Day_Web_scraping/scrapped_data.json @@ -0,0 +1,73 @@ +[ + { + "category": "Community", + "Student Body": "34,589", + "Living Alumni": "398,195", + "Total Employees": "10,517", + "Faculty": "4,171", + "Nondegree Students": "2,008", + "Graduate & Professional Students": "15,645", + "Undergraduate Students": "16,936" + }, + { + "category": "Campus", + "Classrooms": "834", + "Buildings": "370", + "Laboratories": "1,681", + "Libraries": "21", + "Campus Area (acres)": "169" + }, + { + "category": "Academics", + "Study Abroad Programs": "70+", + "Average Class Size": "27", + "Faculty": "4,171", + "Student/Faculty Ratio": "10:1", + "Schools and Colleges": "17", + "Programs of Study": "300+" + }, + { + "category": "Grant & Contract Awards", + "Research Awards": "$574.1M", + "BMC Clinical Research Grants": "$88.0M" + }, + { + "category": "Undergraduate Financial Aid & Scholarships", + "Average Total Need-Based Financial Aid": "$46,252", + "Average Need-Based Grant/Scholarship": "$40,969", + "Grants & Scholarships (need-based)": "$275.6M", + "Grants & Scholarships (non-need-based)": "$28.7M" + }, + { + "category": "Student Life", + "Community Service Hours": "1.6M+", + "Alternative Service Breaks Participants": "300+", + "BU on Social": "new accounts daily", + "Cultural & Religious Organizations": "60+", + "Community Service & Justice Organizations": "80+", + "Academic & Professional Organizations": "120+", + "Art & Performance Organizations": "60+", + "Student Organizations": "450+", + "First-Year Student Outreach Project Volunteers": "800+" + }, + { + "category": "Research", + "Faculty Publications": "6,000+", + "Student UROP Participants": "450+", + "Centers & Institutes": "130+" + }, + { + "category": "International Community", + "Global Initiatives": "300+", + "Cultural Student Groups": "40+", + "Alumni Countries": "180+", + "International Students": "11,000+" + }, + { + "category": "Athletics", + "Intramural Sports & Tournaments": "15+", + "Club and Intramural Sports Participants": "7,000+", + "Club Sports Teams": "50", + "Varsity Sports": "24" + } +] \ No newline at end of file diff --git a/23_Day/23_virtual_environment.md b/23_Day_Virtual_environment/23_virtual_environment.md similarity index 71% rename from 23_Day/23_virtual_environment.md rename to 23_Day_Virtual_environment/23_virtual_environment.md index 92c19570e..d23b45ce0 100644 --- a/23_Day/23_virtual_environment.md +++ b/23_Day_Virtual_environment/23_virtual_environment.md @@ -9,19 +9,17 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - - -[<< Day 22](../22_Day/22_web_scraping.md) | [Day 24 >>](../24_Day/24_statistics.md) +[<< Day 22](../22_Day_Web_scraping/22_web_scraping.md) | [Day 24 >>](../24_Day_Statistics/24_statistics.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 23](#%f0%9f%93%98-day-23) +- [📘 Day 23](#-day-23) - [Setting up Virtual Environments](#setting-up-virtual-environments) - - [💻 Exercises: Day 23](#%f0%9f%92%bb-exercises-day-23) + - [💻 Exercises: Day 23](#-exercises-day-23) # 📘 Day 23 @@ -30,9 +28,11 @@ To start with project, it would be better to have a virtual environment. Virtual environment can help us to create an isolated or separate environment. This will help us to avoid conflicts in dependencies across projects. If you write pip freeze on your terminal you will see all the installed packages on your computer. If we use virtualenv, we will access only packages which are specific for that project. Open your terminal and install virtualenv ```sh -asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ pip install virtualenv +asabeneh@Asabeneh:~$ pip install virtualenv ``` +Inside the 30DaysOfPython folder create a flask_project folder. + After installing the virtualenv package go to your project folder and create a virtual env by writing: For Mac/Linux: @@ -43,27 +43,33 @@ asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project\$ virtualenv venv For Windows: ```sh -C:\Users\User\Documents\30DaysOfPython\flask_project>python3 -m venv venv +C:\Users\User\Documents\30DaysOfPython\flask_project>python -m venv venv ``` -I prefer to call the new project venv, but feel free to name it differently. Let's check if the the venv was created by using ls (or dir for windows command prompt) command. +I prefer to call the new project venv, but feel free to name it differently. Let us check if the the venv was created by using ls (or dir for windows command prompt) command. ```sh asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ ls venv/ ``` -Let's activate the virtual environment by writing the following command at our project folder. +Let us activate the virtual environment by writing the following command at our project folder. For Mac/Linux: ```sh asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ source venv/bin/activate ``` -For Windows: +Activation of the virtual environment in Windows may very on Windows Power shell and git bash. + +For Windows Power Shell: ```sh C:\Users\User\Documents\30DaysOfPython\flask_project> venv\Scripts\activate ``` +For Windows Git bash: +```sh +C:\Users\User\Documents\30DaysOfPython\flask_project> venv\Scripts\. activate +``` After you write the activation command, your project directory will start with venv. See the example below. @@ -73,13 +79,13 @@ After you write the activation command, your project directory will start with v Now, lets check the available packages in this project by writing pip freeze. You will not see any packages. -We are going to do a small flask project so let's install flask to this project. +We are going to do a small flask project so let us install flask package to this project. ```sh (venv) asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ pip install Flask ``` -Now, let's write pip freeze to see a list of installed packages in the project: +Now, let us write pip freeze to see a list of installed packages in the project: ```sh (venv) asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ pip freeze @@ -104,4 +110,5 @@ The necessary modules to work with flask are installed. Now, your project direct 1. Create a project directory with a virtual environment based on the example given above. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 22](../22_Day/22_web_scraping.md) | [Day 24 >>](../24_Day/24_statistics.md) + +[<< Day 22](../22_Day_Web_scraping/22_web_scraping.md) | [Day 24 >>](../24_Day_Statistics/24_statistics.md) diff --git a/24_Day/24_statistics.md b/24_Day/24_statistics.md deleted file mode 100644 index 3e42e0eca..000000000 --- a/24_Day/24_statistics.md +++ /dev/null @@ -1,63 +0,0 @@ -
-

30 Days Of Python: Day 24 - Statistics

- - - - - Twitter Follow - - -Author: -Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 - - -
- - -[<< Day 23](../23_Day/23_virtual_environment.md) | [Day 25 >>](../25_Day/25_pandas.md) - -![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) - -- [📘 Day 24](#%f0%9f%93%98-day-24) - - [Python for Statistical Analysis](#python-for-statistical-analysis) - - [Statistics](#statistics) - - [Data](#data) - - [Statistics Module](#statistics-module) -- [NumPy](#numpy) - -# 📘 Day 24 - -## Python for Statistical Analysis - -## Statistics - -Statistics is the discipline that studies the _collection_, _organization_, _displaying_, _analysis_, _interpretation_ and _presentation_ of data. -Statistics is a branch of mathematics that is recommended to be a prerequisite for data science and machine learning. Statistics is a very broad field but we will focus in this section only on the most relevant part. -After completing this challenge, you may go onto the web development, data analysis, machine learning and data science path. Whatever path you may follow, at some point in your career you will get data which you may work on. Having some statistical knowledge will help you to make decisions based on data, _data tells as they say_. - -## Data - -What is data? Data is any set of characters that is gathered and translated for some purpose, usually analysis. It can be any character, including text and numbers, pictures, sound, or video. If data is not put in a context, it doesn't make any sense to a human or computer. To make sense from data we need to work on the data using different tools. - -The work flow of data analysis, data science or machine learning starts from data. Data can be provided from some data source or it can be created. There are structured and unstructured data. - -Data can be found in small or big format. Most of the data types we will get have been covered in the file handling section. - -## Statistics Module - -The python _statistics_ module provides functions for calculating mathematical statistics of numerical data. The module is not intended to be a competitor to third-party libraries such as NumPy, SciPy, or proprietary full-featured statistics packages aimed at professional statisticians such as Minitab, SAS and Matlab. It is aimed at the level of graphing and scientific calculators. - -# NumPy - -In the first section we defined python as a great general-purpose programming language on its own, but with the help of other popular libraries (numpy, scipy, matplotlib, pandas etc) it becomes a powerful environment for scientific computing. - -Numpy is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with arrays. - -So far, we have been using vscode but from now on I would recommend using Jupyter Notebook. To access jupter notebook let's install [anaconda](https://www.anaconda.com/). If you are using anaconda, most of the common packages are included, so you don't have to install more packages. - -[continue](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/numpy.md) - -🎉 CONGRATULATIONS ! 🎉 - -[<< Day 23](../23_Day/23_virtual_environment.md) | [Day 25 >>](../25_Day/25_pandas.md) diff --git a/24_Day_Statistics/24_statistics.md b/24_Day_Statistics/24_statistics.md new file mode 100644 index 000000000..70ffaddf7 --- /dev/null +++ b/24_Day_Statistics/24_statistics.md @@ -0,0 +1,1240 @@ +
+

30 Days Of Python: Day 24 - Statistics

+ + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
+Second Edition: July, 2021 + +
+ +[<< Day 23](../23_Day_Virtual_environment/23_virtual_environment.md) | [Day 25 >>](../25_Day_Pandas/25_pandas.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Day 24](#-day-24) + - [Python for Statistical Analysis](#python-for-statistical-analysis) + - [Statistics](#statistics) + - [Data](#data) + - [Statistics Module](#statistics-module) +- [NumPy](#numpy) + +# 📘 Day 24 + +## Python for Statistical Analysis + +## Statistics + +Statistics is the discipline that studies the _collection_, _organization_, _displaying_, _analysing_, _interpretation_ and _presentation_ of data. +Statistics is a branch of Mathematics that is recommended to be a prerequisite for data science and machine learning. Statistics is a very broad field but we will focus in this section only on the most relevant part. +After completing this challenge, you may go onto the web development, data analysis, machine learning and data science path. Whatever path you may follow, at some point in your career you will get data which you may work on. Having some statistical knowledge will help you to make decisions based on data, _data tells as they say_. + +## Data + +What is data? Data is any set of characters that is gathered and translated for some purpose, usually analysis. It can be any character, including text and numbers, pictures, sound, or video. If data is not put in a context, it doesn't make any sense to a human or computer. To make sense from data we need to work on the data using different tools. + +The work flow of data analysis, data science or machine learning starts from data. Data can be provided from some data source or it can be created. There are structured and unstructured data. + +Data can be found in small or big format. Most of the data types we will get have been covered in the file handling section. + +## Statistics Module + +The Python _statistics_ module provides functions for calculating mathematical statistics of numerical data. The module is not intended to be a competitor to third-party libraries such as NumPy, SciPy, or proprietary full-featured statistics packages aimed at professional statisticians such as Minitab, SAS and Matlab. It is aimed at the level of graphing and scientific calculators. + +# NumPy + +In the first section we defined Python as a great general-purpose programming language on its own, but with the help of other popular libraries as(numpy, scipy, matplotlib, pandas etc) it becomes a powerful environment for scientific computing. + +NumPy is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with arrays. + +So far, we have been using vscode but from now on I would recommend using Jupyter Notebook. To access jupyter notebook let's install [anaconda](https://www.anaconda.com/). If you are using anaconda most of the common packages are included and you don't have install packages if you installed anaconda. + +```sh +asabeneh@Asabeneh:~/Desktop/30DaysOfPython$ pip install numpy +``` + +## Importing NumPy + +Jupyter notebook is available if your are in favor of [jupyter notebook](https://github.com/Asabeneh/data-science-for-everyone/blob/master/numpy/numpy.ipynb) + +```py + # How to import numpy + import numpy as np + # How to check the version of the numpy package + print('numpy:', np.__version__) + # Checking the available methods + print(dir(np)) +``` + +## Creating numpy array using + +### Creating int numpy arrays + +```py + # Creating python List + python_list = [1,2,3,4,5] + + # Checking data types + print('Type:', type (python_list)) # + # + print(python_list) # [1, 2, 3, 4, 5] + + two_dimensional_list = [[0,1,2], [3,4,5], [6,7,8]] + + print(two_dimensional_list) # [[0, 1, 2], [3, 4, 5], [6, 7, 8]] + + # Creating Numpy(Numerical Python) array from python list + + numpy_array_from_list = np.array(python_list) + print(type (numpy_array_from_list)) # + print(numpy_array_from_list) # array([1, 2, 3, 4, 5]) +``` + +### Creating float numpy arrays + +Creating a float numpy array from list with a float data type parameter + +```py + # Python list + python_list = [1,2,3,4,5] + + numy_array_from_list2 = np.array(python_list, dtype=float) + print(numy_array_from_list2) # array([1., 2., 3., 4., 5.]) +``` + +### Creating boolean numpy arrays + +Creating a boolean a numpy array from list + +```py + numpy_bool_array = np.array([0, 1, -1, 0, 0], dtype=bool) + print(numpy_bool_array) # array([False, True, True, False, False]) +``` + +### Creating multidimensional array using numpy + +A numpy array may have one or multiple rows and columns + +```py + two_dimensional_list = [[0,1,2], [3,4,5], [6,7,8]] + numpy_two_dimensional_list = np.array(two_dimensional_list) + print(type (numpy_two_dimensional_list)) + print(numpy_two_dimensional_list) +``` + +```sh + + [[0 1 2] + [3 4 5] + [6 7 8]] +``` + +### Converting numpy array to list + +```python +# We can always convert an array back to a python list using tolist(). +np_to_list = numpy_array_from_list.tolist() +print(type (np_to_list)) +print('one dimensional array:', np_to_list) +print('two dimensional array: ', numpy_two_dimensional_list.tolist()) +``` + +```sh + + one dimensional array: [1, 2, 3, 4, 5] + two dimensional array: [[0, 1, 2], [3, 4, 5], [6, 7, 8]] +``` + +### Creating numpy array from tuple + +```py +# Numpy array from tuple +# Creating tuple in Python +python_tuple = (1,2,3,4,5) +print(type (python_tuple)) # +print('python_tuple: ', python_tuple) # python_tuple: (1, 2, 3, 4, 5) + +numpy_array_from_tuple = np.array(python_tuple) +print(type (numpy_array_from_tuple)) # +print('numpy_array_from_tuple: ', numpy_array_from_tuple) # numpy_array_from_tuple: [1 2 3 4 5] +``` + +### Shape of numpy array + +The shape method provide the shape of the array as a tuple. The first is the row and the second is the column. If the array is just one dimensional it returns the size of the array. + +```py + nums = np.array([1, 2, 3, 4, 5]) + print(nums) + print('shape of nums: ', nums.shape) + numpy_two_dimensional_list = np.array([[0,1,2],[3,4,5],[6,7,8]]) + print(numpy_two_dimensional_list) + print('shape of numpy_two_dimensional_list: ', numpy_two_dimensional_list.shape) + three_by_four_array = np.array([[0, 1, 2, 3], + [4,5,6,7], + [8,9,10,11]] + print(three_by_four_array) + print('shape of three_by_four_array: ', three_by_four_array.shape) + +``` + +```sh + [1 2 3 4 5] + shape of nums: (5,) + [[0 1 2] + [3 4 5] + [6 7 8]] + shape of numpy_two_dimensional_list: (3, 3) + (3, 4) +``` + +### Data type of numpy array + +Type of data types: str, int, float, complex, bool, list, None + +```py +int_lists = [-3, -2, -1, 0, 1, 2,3] +int_array = np.array(int_lists) +float_array = np.array(int_lists, dtype=float) + +print(int_array) +print(int_array.dtype) +print(float_array) +print(float_array.dtype) +``` + +```sh + [-3 -2 -1 0 1 2 3] + int64 + [-3. -2. -1. 0. 1. 2. 3.] + float64 +``` + +### Size of a numpy array + +In numpy to know the number of items in a numpy array list we use size + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +two_dimensional_list = np.array([[0, 1, 2], + [3, 4, 5], + [6, 7, 8]]) + +print('The size:', numpy_array_from_list.size) # 5 +print('The size:', two_dimensional_list.size) # 3 + +``` + +```sh + The size: 5 + The size: 9 +``` + +## Mathematical Operation using numpy + +NumPy array is not like exactly like python list. To do mathematical operation in Python list we have to loop through the items but numpy can allow to do any mathematical operation without looping. +Mathematical Operation: + +- Addition (+) +- Subtraction (-) +- Multiplication (\*) +- Division (/) +- Modules (%) +- Floor Division(//) +- Exponential(\*\*) + +### Addition + +```py +# Mathematical Operation +# Addition +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('original array: ', numpy_array_from_list) +ten_plus_original = numpy_array_from_list + 10 +print(ten_plus_original) + +``` + +```sh + original array: [1 2 3 4 5] + [11 12 13 14 15] +``` + +### Subtraction + +```python +# Subtraction +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('original array: ', numpy_array_from_list) +ten_minus_original = numpy_array_from_list - 10 +print(ten_minus_original) +``` + +```sh + original array: [1 2 3 4 5] + [-9 -8 -7 -6 -5] +``` + +### Multiplication + +```python +# Multiplication +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('original array: ', numpy_array_from_list) +ten_times_original = numpy_array_from_list * 10 +print(ten_times_original) +``` + +```sh + original array: [1 2 3 4 5] + [10 20 30 40 50] +``` + +### Division + +```python +# Division +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('original array: ', numpy_array_from_list) +ten_times_original = numpy_array_from_list / 10 +print(ten_times_original) +``` + +```sh + original array: [1 2 3 4 5] + [0.1 0.2 0.3 0.4 0.5] +``` + +### Modulus + +```python +# Modulus; Finding the remainder +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('original array: ', numpy_array_from_list) +ten_times_original = numpy_array_from_list % 3 +print(ten_times_original) +``` + +```sh + original array: [1 2 3 4 5] + [1 2 0 1 2] +``` + +### Floor Division + +```py +# Floor division: the division result without the remainder +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('original array: ', numpy_array_from_list) +ten_times_original = numpy_array_from_list // 10 +print(ten_times_original) +``` + +### Exponential + +```py +# Exponential is finding some number the power of another: +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('original array: ', numpy_array_from_list) +ten_times_original = numpy_array_from_list ** 2 +print(ten_times_original) +``` + +```sh + original array: [1 2 3 4 5] + [ 1 4 9 16 25] +``` + +## Checking data types + +```py +#Int, Float numbers +numpy_int_arr = np.array([1,2,3,4]) +numpy_float_arr = np.array([1.1, 2.0,3.2]) +numpy_bool_arr = np.array([-3, -2, 0, 1,2,3], dtype='bool') + +print(numpy_int_arr.dtype) +print(numpy_float_arr.dtype) +print(numpy_bool_arr.dtype) +``` + +```sh + int64 + float64 + bool +``` + +### Converting types + +We can convert the data types of numpy array + +1. Int to Float + +```py +numpy_int_arr = np.array([1,2,3,4], dtype = 'float') +numpy_int_arr +``` + + array([1., 2., 3., 4.]) + +2. Float to Int + +```py +numpy_int_arr = np.array([1., 2., 3., 4.], dtype = 'int') +numpy_int_arr +``` + +```sh + array([1, 2, 3, 4]) +``` + +3. Int ot boolean + +```py +np.array([-3, -2, 0, 1,2,3], dtype='bool') + +``` + +```sh + array([ True, True, False, True, True, True]) +``` + +4. Int to str + +```py +numpy_float_list.astype('int').astype('str') +``` + +```sh + array(['1', '2', '3'], dtype=' + [[1 2 3] + [4 5 6] + [7 8 9]] + Shape: (3, 3) + Size: 9 + Data type: int64 +``` + +### Getting items from a numpy array + +```py +# 2 Dimension Array +two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) +first_row = two_dimension_array[0] +second_row = two_dimension_array[1] +third_row = two_dimension_array[2] +print('First row:', first_row) +print('Second row:', second_row) +print('Third row: ', third_row) +``` + +```sh + First row: [1 2 3] + Second row: [4 5 6] + Third row: [7 8 9] +``` + +```py +first_column= two_dimension_array[:,0] +second_column = two_dimension_array[:,1] +third_column = two_dimension_array[:,2] +print('First column:', first_column) +print('Second column:', second_column) +print('Third column: ', third_column) +print(two_dimension_array) + +``` + +```sh + First column: [1 4 7] + Second column: [2 5 8] + Third column: [3 6 9] + [[1 2 3] + [4 5 6] + [7 8 9]] +``` + +## Slicing Numpy array + +Slicing in numpy is similar to slicing in python list + +```py +two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) +first_two_rows_and_columns = two_dimension_array[0:2, 0:2] +print(first_two_rows_and_columns) +``` + +```sh + [[1 2] + [4 5]] +``` + +### How to reverse the rows and the whole array? + +```py +two_dimension_array[::] +``` + +```sh + array([[1, 2, 3], + [4, 5, 6], + [7, 8, 9]]) +``` + +### Reverse the row and column positions + +```py + two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) + two_dimension_array[::-1,::-1] +``` + +```sh + array([[9, 8, 7], + [6, 5, 4], + [3, 2, 1]]) +``` + +## How to represent missing values ? + +```python + print(two_dimension_array) + two_dimension_array[1,1] = 55 + two_dimension_array[1,2] =44 + print(two_dimension_array) +``` + +```sh + [[1 2 3] + [4 5 6] + [7 8 9]] + [[ 1 2 3] + [ 4 55 44] + [ 7 8 9]] +``` + +```py + # Numpy Zeroes + # numpy.zeros(shape, dtype=float, order='C') + numpy_zeroes = np.zeros((3,3),dtype=int,order='C') + numpy_zeroes +``` + +```sh + array([[0, 0, 0], + [0, 0, 0], + [0, 0, 0]]) +``` + +```py +# Numpy Zeroes +numpy_ones = np.ones((3,3),dtype=int,order='C') +print(numpy_ones) +``` + +```sh + [[1 1 1] + [1 1 1] + [1 1 1]] +``` + +```py +twoes = numpy_ones * 2 +``` + +```py +# Reshape +# numpy.reshape(), numpy.flatten() +first_shape = np.array([(1,2,3), (4,5,6)]) +print(first_shape) +reshaped = first_shape.reshape(3,2) +print(reshaped) + +``` + +```sh + [[1 2 3] + [4 5 6]] + [[1 2] + [3 4] + [5 6]] +``` + +```py +flattened = reshaped.flatten() +flattened +``` + +```sh + array([1, 2, 3, 4, 5, 6]) +``` + +```py + ## Horitzontal Stack + np_list_one = np.array([1,2,3]) + np_list_two = np.array([4,5,6]) + + print(np_list_one + np_list_two) + + print('Horizontal Append:', np.hstack((np_list_one, np_list_two))) +``` + +```sh + [5 7 9] + Horizontal Append: [1 2 3 4 5 6] +``` + +```py + ## Vertical Stack + print('Vertical Append:', np.vstack((np_list_one, np_list_two))) +``` + +```sh + Vertical Append: [[1 2 3] + [4 5 6]] +``` + +#### Generating Random Numbers + +```py + # Generate a random float number + random_float = np.random.random() + random_float +``` + +```sh + 0.018929887384753874 +``` + +```py + # Generate a random float number + random_floats = np.random.random(5) + random_floats +``` + +```sh + array([0.26392192, 0.35842215, 0.87908478, 0.41902195, 0.78926418]) +``` + +```py + # Generating a random integers between 0 and 10 + + random_int = np.random.randint(0, 11) + random_int +``` + +```sh + 4 +``` + +```py + # Generating a random integers between 2 and 11, and creating a one row array + random_int = np.random.randint(2,10, size=4) + random_int +``` + +```sh + array([8, 8, 8, 2]) +``` + +```py + # Generating a random integers between 0 and 10 + random_int = np.random.randint(2,10, size=(3,3)) + random_int +``` + +```sh + array([[3, 5, 3], + [7, 3, 6], + [2, 3, 3]]) +``` + +### Generationg random numbers + +```py + # np.random.normal(mu, sigma, size) + normal_array = np.random.normal(79, 15, 80) + normal_array + +``` + +```sh + array([ 89.49990595, 82.06056961, 107.21445842, 38.69307086, + 47.85259157, 93.07381061, 76.40724259, 78.55675184, + 72.17358173, 47.9888899 , 65.10370622, 76.29696568, + 95.58234254, 68.14897213, 38.75862686, 122.5587927 , + 67.0762565 , 95.73990864, 81.97454563, 92.54264805, + 59.37035153, 77.76828101, 52.30752166, 64.43109931, + 62.63695351, 90.04616138, 75.70009094, 49.87586877, + 80.22002414, 68.56708848, 76.27791052, 67.24343975, + 81.86363935, 78.22703433, 102.85737041, 65.15700341, + 84.87033426, 76.7569997 , 64.61321853, 67.37244562, + 74.4068773 , 58.65119655, 71.66488727, 53.42458179, + 70.26872028, 60.96588544, 83.56129414, 72.14255326, + 81.00787609, 71.81264853, 72.64168853, 86.56608717, + 94.94667321, 82.32676973, 70.5165446 , 85.43061003, + 72.45526212, 87.34681775, 87.69911217, 103.02831489, + 75.28598596, 67.17806893, 92.41274447, 101.06662611, + 87.70013935, 70.73980645, 46.40368207, 50.17947092, + 61.75618542, 90.26191397, 78.63968639, 70.84550744, + 88.91826581, 103.91474733, 66.3064638 , 79.49726264, + 70.81087439, 83.90130623, 87.58555972, 59.95462521]) +``` + +## Numpy and Statistics + +```py +import matplotlib.pyplot as plt +import seaborn as sns +sns.set() +plt.hist(normal_array, color="grey", bins=50) +``` + +```sh + (array([2., 0., 0., 0., 1., 2., 2., 0., 2., 0., 0., 1., 2., 2., 1., 4., 3., + 4., 2., 7., 2., 2., 5., 4., 2., 4., 3., 2., 1., 5., 3., 0., 3., 2., + 1., 0., 0., 1., 3., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 1.]), + array([ 38.69307086, 40.37038529, 42.04769973, 43.72501417, + 45.4023286 , 47.07964304, 48.75695748, 50.43427191, + 52.11158635, 53.78890079, 55.46621523, 57.14352966, + 58.8208441 , 60.49815854, 62.17547297, 63.85278741, + 65.53010185, 67.20741628, 68.88473072, 70.56204516, + 72.23935959, 73.91667403, 75.59398847, 77.27130291, + 78.94861734, 80.62593178, 82.30324622, 83.98056065, + 85.65787509, 87.33518953, 89.01250396, 90.6898184 , + 92.36713284, 94.04444727, 95.72176171, 97.39907615, + 99.07639058, 100.75370502, 102.43101946, 104.1083339 , + 105.78564833, 107.46296277, 109.14027721, 110.81759164, + 112.49490608, 114.17222052, 115.84953495, 117.52684939, + 119.20416383, 120.88147826, 122.5587927 ]), + ) +``` + +### Matrix in numpy + +```py + +four_by_four_matrix = np.matrix(np.ones((4,4), dtype=float)) +``` + +```py +four_by_four_matrix +``` + +```sh +matrix([[1., 1., 1., 1.], + [1., 1., 1., 1.], + [1., 1., 1., 1.], + [1., 1., 1., 1.]]) +``` + +```py +np.asarray(four_by_four_matrix)[2] = 2 +four_by_four_matrix +``` + +```sh + +matrix([[1., 1., 1., 1.], + [1., 1., 1., 1.], + [2., 2., 2., 2.], + [1., 1., 1., 1.]]) +``` + +### Numpy numpy.arange() + +#### What is Arrange? + +Sometimes, you want to create values that are evenly spaced within a defined interval. For instance, you want to create values from 1 to 10; you can use numpy.arange() function + +```py +# creating list using range(starting, stop, step) +lst = range(0, 11, 2) +lst +``` + +```python +range(0, 11, 2) +``` + +```python +for l in lst: + print(l) +``` + +```sh 0 + 2 + 4 + 6 + 8 + 10 +``` + +```py +# Similar to range arange numpy.arange(start, stop, step) +whole_numbers = np.arange(0, 20, 1) +whole_numbers +``` + +```sh +array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, + 17, 18, 19]) +``` + +```py +natural_numbers = np.arange(1, 20, 1) +natural_numbers +``` + +```py +odd_numbers = np.arange(1, 20, 2) +odd_numbers +``` + +```sh + array([ 1, 3, 5, 7, 9, 11, 13, 15, 17, 19]) +``` + +```py +even_numbers = np.arange(2, 20, 2) +even_numbers +``` + +```sh + array([ 2, 4, 6, 8, 10, 12, 14, 16, 18]) +``` + +### Creating sequence of numbers using linspace + +```py +# numpy.linspace() +# numpy.logspace() in Python with Example +# For instance, it can be used to create 10 values from 1 to 5 evenly spaced. +np.linspace(1.0, 5.0, num=10) +``` + +```sh + array([1. , 1.44444444, 1.88888889, 2.33333333, 2.77777778, + 3.22222222, 3.66666667, 4.11111111, 4.55555556, 5. ]) +``` + +```py +# not to include the last value in the interval +np.linspace(1.0, 5.0, num=5, endpoint=False) +``` + +``` +array([1. , 1.8, 2.6, 3.4, 4.2]) +``` + +```py +# LogSpace +# LogSpace returns even spaced numbers on a log scale. Logspace has the same parameters as np.linspace. + +# Syntax: + +# numpy.logspace(start, stop, num, endpoint) + +np.logspace(2, 4.0, num=4) +``` + +```sh + +array([ 100. , 464.15888336, 2154.43469003, 10000. ]) +``` + +```py +# to check the size of an array +x = np.array([1,2,3], dtype=np.complex128) +``` + +```py +x +``` + +```sh + array([1.+0.j, 2.+0.j, 3.+0.j]) +``` + +```py +x.itemsize +``` + +```sh +16 +``` + +```py +# indexing and Slicing NumPy Arrays in Python +np_list = np.array([(1,2,3), (4,5,6)]) +np_list + +``` + +```sh + array([[1, 2, 3], + [4, 5, 6]]) +``` + +```py +print('First row: ', np_list[0]) +print('Second row: ', np_list[1]) + +``` + +```sh + + First row: [1 2 3] + Second row: [4 5 6] +``` + +```p +print('First column: ', np_list[:,0]) +print('Second column: ', np_list[:,1]) +print('Third column: ', np_list[:,2]) + +``` + +```sh + First column: [1 4] + Second column: [2 5] + Third column: [3 6] +``` + +### NumPy Statistical Functions with Example + +NumPy has quite useful statistical functions for finding minimum, maximum, mean, median, percentile,standard deviation and variance, etc from the given elements in the array. +The functions are explained as follows − +Statistical function +Numpy is equipped with the robust statistical function as listed below + +- Numpy Functions + - Min np.min() + - Max np.max() + - Mean np.mean() + - Median np.median() + - Variance + - Percentile + - Standard deviation np.std() + +```python +np_normal_dis = np.random.normal(5, 0.5, 100) +np_normal_dis +## min, max, mean, median, sd +print('min: ', two_dimension_array.min()) +print('max: ', two_dimension_array.max()) +print('mean: ',two_dimension_array.mean()) +# print('median: ', two_dimension_array.median()) +print('sd: ', two_dimension_array.std()) +``` + + min: 1 + max: 55 + mean: 14.777777777777779 + sd: 18.913709183069525 + +```python +min: 1 +max: 55 +mean: 14.777777777777779 +sd: 18.913709183069525 +``` + +```python +print(two_dimension_array) +print('Column with minimum: ', np.amin(two_dimension_array,axis=0)) +print('Column with maximum: ', np.amax(two_dimension_array,axis=0)) +print('=== Row ==') +print('Row with minimum: ', np.amin(two_dimension_array,axis=1)) +print('Row with maximum: ', np.amax(two_dimension_array,axis=1)) +``` + + [[ 1 2 3] + [ 4 55 44] + [ 7 8 9]] + Column with minimum: [1 2 3] + Column with maximum: [ 7 55 44] + === Row == + Row with minimum: [1 4 7] + Row with maximum: [ 3 55 9] + +### How to create repeating sequences? + +```python +a = [1,2,3] + +# Repeat whole of 'a' two times +print('Tile: ', np.tile(a, 2)) + +# Repeat each element of 'a' two times +print('Repeat: ', np.repeat(a, 2)) + +``` + + Tile: [1 2 3 1 2 3] + Repeat: [1 1 2 2 3 3] + +### How to generate random numbers? + +```python +# One random number between [0,1) +one_random_num = np.random.random() +one_random_in = np.random +print(one_random_num) +``` + + 0.6149403282678213 + +```python +0.4763968133790438 +``` + + 0.4763968133790438 + +```python +# Random numbers between [0,1) of shape 2,3 +r = np.random.random(size=[2,3]) +print(r) +``` + + [[0.13031737 0.4429537 0.1129527 ] + [0.76811539 0.88256594 0.6754075 ]] + +```python +print(np.random.choice(['a', 'e', 'i', 'o', 'u'], size=10)) +``` + + ['u' 'o' 'o' 'i' 'e' 'e' 'u' 'o' 'u' 'a'] + +```python +['i' 'u' 'e' 'o' 'a' 'i' 'e' 'u' 'o' 'i'] +``` + + ['iueoaieuoi'] + +```python +## Random numbers between [0, 1] of shape 2, 2 +rand = np.random.rand(2,2) +rand +``` + + array([[0.97992598, 0.79642484], + [0.65263629, 0.55763145]]) + +```python +rand2 = np.random.randn(2,2) +rand2 + +``` + + array([[ 1.65593322, -0.52326621], + [ 0.39071179, -2.03649407]]) + +```python +# Random integers between [0, 10) of shape 2,5 +rand_int = np.random.randint(0, 10, size=[5,3]) +rand_int +``` + + array([[0, 7, 5], + [4, 1, 4], + [3, 5, 3], + [4, 3, 8], + [4, 6, 7]]) + +```py +from scipy import stats +np_normal_dis = np.random.normal(5, 0.5, 1000) # mean, standard deviation, number of samples +np_normal_dis +## min, max, mean, median, sd +print('min: ', np.min(np_normal_dis)) +print('max: ', np.max(np_normal_dis)) +print('mean: ', np.mean(np_normal_dis)) +print('median: ', np.median(np_normal_dis)) +print('mode: ', stats.mode(np_normal_dis)) +print('sd: ', np.std(np_normal_dis)) +``` + +```sh + + min: 3.557811005458804 + max: 6.876317743643499 + mean: 5.035832048106663 + median: 5.020161980441937 + mode: ModeResult(mode=array([3.55781101]), count=array([1])) + sd: 0.489682424165213 + +``` + +```python +plt.hist(np_normal_dis, color="grey", bins=21) +plt.show() +``` + +![png](../test_files/test_121_0.png) + +```python +# numpy.dot(): Dot Product in Python using Numpy +# Dot Product +# Numpy is powerful library for matrices computation. For instance, you can compute the dot product with np.dot + +# Syntax + +# numpy.dot(x, y, out=None) +``` + +### Linear Algebra + +1. Dot Product + +```python +## Linear algebra +### Dot product: product of two arrays +f = np.array([1,2,3]) +g = np.array([4,5,3]) +### 1*4+2*5 + 3*6 +np.dot(f, g) # 23 +``` + +### NumPy Matrix Multiplication with np.matmul() + +```python +### Matmul: matruc product of two arrays +h = [[1,2],[3,4]] +i = [[5,6],[7,8]] +### 1*5+2*7 = 19 +np.matmul(h, i) +``` + +```sh + array([[19, 22], + [43, 50]]) + +``` + +```py +## Determinant 2*2 matrix +### 5*8-7*6np.linalg.det(i) +``` + +```python +np.linalg.det(i) +``` + + -1.999999999999999 + +```python +Z = np.zeros((8,8)) +Z[1::2,::2] = 1 +Z[::2,1::2] = 1 +``` + +```python +Z +``` + + array([[0., 1., 0., 1., 0., 1., 0., 1.], + [1., 0., 1., 0., 1., 0., 1., 0.], + [0., 1., 0., 1., 0., 1., 0., 1.], + [1., 0., 1., 0., 1., 0., 1., 0.], + [0., 1., 0., 1., 0., 1., 0., 1.], + [1., 0., 1., 0., 1., 0., 1., 0.], + [0., 1., 0., 1., 0., 1., 0., 1.], + [1., 0., 1., 0., 1., 0., 1., 0.]]) + +```python +new_list = [ x + 2 for x in range(0, 11)] +``` + +```python +new_list +``` + + [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] + +```python +[2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] +``` + + [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] + +```python +np_arr = np.array(range(0, 11)) +np_arr + 2 +``` + +array([ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) + +We use linear equation for quantities which have linear relationship. Let's see the example below: + +```python +temp = np.array([1,2,3,4,5]) +pressure = temp * 2 + 5 +pressure +``` + +array([ 7, 9, 11, 13, 15]) + +```python +plt.plot(temp,pressure) +plt.xlabel('Temperature in oC') +plt.ylabel('Pressure in atm') +plt.title('Temperature vs Pressure') +plt.xticks(np.arange(0, 6, step=0.5)) +plt.show() +``` + +![png](../test_files/test_141_0.png) + +To draw the Gaussian normal distribution using numpy. As you can see below, the numpy can generate random numbers. To create random sample, we need the mean(mu), sigma(standard deviation), number of data points. + +```python +mu = 28 +sigma = 15 +samples = 100000 + +x = np.random.normal(mu, sigma, samples) +ax = sns.distplot(x); +ax.set(xlabel="x", ylabel='y') +plt.show() +``` + +![png](../test_files/test_143_0.png) + +# Summary + +To summarize, the main differences with python lists are: + +1. Arrays support vectorized operations, while lists don’t. +1. Once an array is created, you cannot change its size. You will have to create a new array or overwrite the existing one. +1. Every array has one and only one dtype. All items in it should be of that dtype. +1. An equivalent numpy array occupies much less space than a python list of lists. +1. numpy arrays support boolean indexing. + +## 💻 Exercises: Day 24 + +1. Repeat all the examples + +🎉 CONGRATULATIONS ! 🎉 + +[<< Day 23](../23_Day_Virtual_environment/23_virtual_environment.md) | [Day 25 >>](../25_Day_Pandas/25_pandas.md) diff --git a/25_Day/25_pandas.md b/25_Day_Pandas/25_pandas.md similarity index 88% rename from 25_Day/25_pandas.md rename to 25_Day_Pandas/25_pandas.md index e8992b8de..4e4d8bc74 100644 --- a/25_Day/25_pandas.md +++ b/25_Day_Pandas/25_pandas.md @@ -9,23 +9,24 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 - + -[<< Day 24](../24_Day/24_statistics.md) | [Day 26 >>](../26_Day/26_python_web.md) +[<< Day 24](../24_Day_Statistics/24_statistics.md) | [Day 26 >>](../26_Day_Python_web/26_python_web.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 25](#%f0%9f%93%98-day-25) +- [📘 Day 25](#-day-25) - [Pandas](#pandas) - - [Importing Pandas](#importing-pandas) + - [Installing Pandas](#installing-pandas) + - [Importing Pandas](#importing-pandas) - [Creating Pandas Series with Default Index](#creating-pandas-series-with-default-index) - - [Creating Pandas Series with Custom Index](#creating-pandas-series-with-custom-index) + - [Creating Pandas Series with custom index](#creating--pandas-series-with-custom-index) - [Creating Pandas Series from a Dictionary](#creating-pandas-series-from-a-dictionary) - [Creating a Constant Pandas Series](#creating-a-constant-pandas-series) - - [Creating a Pandas Series Using Linspace](#creating-a-pandas-series-using-linspace) + - [Creating a Pandas Series Using Linspace](#creating-a--pandas-series-using-linspace) - [DataFrames](#dataframes) - [Creating DataFrames from List of Lists](#creating-dataframes-from-list-of-lists) - [Creating DataFrame Using Dictionary](#creating-dataframe-using-dictionary) @@ -35,17 +36,29 @@ - [Modifying a DataFrame](#modifying-a-dataframe) - [Creating a DataFrame](#creating-a-dataframe) - [Adding a New Column](#adding-a-new-column) - - [Modifying Column Values](#modifying-column-values) - - [Formating DataFrame Columns](#formating-dataframe-columns) - - [Checking Data Types of Column Values](#checking-data-types-of-column-values) + - [Modifying column values](#modifying-column-values) + - [Formatting DataFrame columns](#formatting-dataframe-columns) + - [Checking data types of Column values](#checking-data-types-of-column-values) - [Boolean Indexing](#boolean-indexing) - [Exercises: Day 25](#exercises-day-25) + # 📘 Day 25 + ## Pandas Pandas is an open source, high-performance, easy-to-use data structures and data analysis tools for the Python programming language. -Pandas adds data structures and tools designed to work with table-like data which is Series and Data Frames. -Pandas provides tools for data manipulation: reshaping, merging, sorting, slicing, aggregation and imputation. +Pandas adds data structures and tools designed to work with table-like data which is *Series* and *Data Frames*. +Pandas provides tools for data manipulation: + +- reshaping +- merging +- sorting +- slicing +- aggregation +- imputation. +If you are using anaconda, you do not have install pandas. + +### Installing Pandas For Mac: ```py @@ -59,17 +72,18 @@ pip install conda pip install pandas ``` -Pandas data structure is based on *Series* and *DataFrames* -A series is a column and a DataFrame is a multidimensional table made up of collection of series. In order to create a pandas series we should use numpy to create a one dimensional arrays or a python list. -Let's see an example of a series: +Pandas data structure is based on *Series* and *DataFrames*. + +A *series* is a *column* and a DataFrame is a *multidimensional table* made up of collection of *series*. In order to create a pandas series we should use numpy to create a one dimensional arrays or a python list. +Let us see an example of a series: Names Pandas Series -![pandas series](../images/pandas-series-1.png) +![pandas series](../images/pandas-series-1.png) Countries Series -![pandas series](../images/pandas-series-2.png) +![pandas series](../images/pandas-series-2.png) Cities Series @@ -77,19 +91,17 @@ Cities Series As you can see, pandas series is just one column of data. If we want to have multiple columns we use data frames. The example below shows pandas DataFrames. -Let's see, an example of a pandas data frame: +Let us see, an example of a pandas data frame: ![Pandas data frame](../images/pandas-dataframe-1.png) Data frame is a collection of rows and columns. Look at the table below; it has many more columns than the example above: - ![Pandas data frame](../images/pandas-dataframe-2.png) Next, we will see how to import pandas and how to create Series and DataFrames using pandas -## Importing Pandas - +### Importing Pandas ```python import pandas as pd # importing pandas as pd @@ -98,14 +110,12 @@ import numpy as np # importing numpy as np ### Creating Pandas Series with Default Index - ```python nums = [1, 2, 3, 4,5] s = pd.Series(nums) print(s) ``` - ```sh 0 1 1 2 @@ -115,19 +125,14 @@ print(s) dtype: int64 ``` - ### Creating Pandas Series with custom index - ```python nums = [1, 2, 3, 4, 5] s = pd.Series(nums, index=[1, 2, 3, 4, 5]) print(s) - ``` - - ```sh 1 1 2 2 @@ -137,39 +142,30 @@ print(s) dtype: int64 ``` - - ```python -fruits = ['Orange','Banana','Mangao'] +fruits = ['Orange','Banana','Mango'] fruits = pd.Series(fruits, index=[1, 2, 3]) print(fruits) ``` - - ```sh 1 Orange 2 Banana - 3 Mangao + 3 Mango dtype: object ``` - ### Creating Pandas Series from a Dictionary - ```python dct = {'name':'Asabeneh','country':'Finland','city':'Helsinki'} ``` - ```python s = pd.Series(dct) print(s) ``` - - ```sh name Asabeneh country Finland @@ -177,17 +173,13 @@ print(s) dtype: object ``` - ### Creating a Constant Pandas Series - ```python -s = pd.Series(10, index = [1, 2,3]) +s = pd.Series(10, index = [1, 2, 3]) print(s) ``` - - ```sh 1 10 2 10 @@ -195,17 +187,13 @@ print(s) dtype: int64 ``` - ### Creating a Pandas Series Using Linspace - ```python s = pd.Series(np.linspace(5, 20, 10)) # linspace(starting, end, items) print(s) ``` - - ```sh 0 5.000000 1 6.666667 @@ -226,10 +214,9 @@ Pandas data frames can be created in different ways. ### Creating DataFrames from List of Lists - ```python data = [ - ['Asabeneh', 'Finland', 'Helsink'], + ['Asabeneh', 'Finland', 'Helsink'], ['David', 'UK', 'London'], ['John', 'Sweden', 'Stockholm'] ] @@ -270,7 +257,6 @@ print(df) ### Creating DataFrame Using Dictionary - ```python data = {'Name': ['Asabeneh', 'David', 'John'], 'Country':[ 'Finland', 'UK', 'Sweden'], 'City': ['Helsiki', 'London', 'Stockholm']} @@ -278,7 +264,6 @@ df = pd.DataFrame(data) print(df) ``` - @@ -310,10 +295,8 @@ print(df)
- ### Creating DataFrames from a List of Dictionaries - ```python data = [ {'Name': 'Asabeneh', 'Country': 'Finland', 'City': 'Helsinki'}, @@ -323,7 +306,6 @@ df = pd.DataFrame(data) print(df) ``` - @@ -355,17 +337,16 @@ print(df)
- - - ## Reading CSV File Using Pandas -To download the csv file, needed in this example, console/command line is enough: +To download the CSV file, what is needed in this example, console/command line is enough: ```sh curl -O https://raw.githubusercontent.com/Asabeneh/30-Days-Of-Python/master/data/weight-height.csv ``` +Put the downloaded file in your working directory. + ```python import pandas as pd @@ -374,8 +355,8 @@ print(df) ``` ### Data Exploration -Let's read only the first 5 rows using head() +Let us read only the first 5 rows using head() ```python print(df.head()) # give five rows we can increase the number of rows by passing argument to the head() method @@ -425,45 +406,12 @@ print(df.head()) # give five rows we can increase the number of rows by passing - - -As you can see the csv file has three rows: Gender, Height and Weight. But we don't know the number of rows. Let's use shape meathod. - - -```python -print(df.shape) # as you can see 10000 rows and three columns -``` - - - - - (10000, 3) - - - -Let's get all the columns using columns. - - - -```python -print(df.columns) -``` - - - - - Index(['Gender', 'Height', 'Weight'], dtype='object') - - - -Let's read only the last 5 rows using tail() - +Let us also explore the last recordings of the dataframe using the tail() methods. ```python print(df.tail()) # tails give the last five rows, we can increase the rows by passing argument to tail method ``` - @@ -507,21 +455,31 @@ print(df.tail()) # tails give the last five rows, we can increase the rows by pa
+As you can see the csv file has three rows: Gender, Height and Weight. If the DataFrame would have a long rows, it would be hard to know all the columns. Therefore, we should use a method to know the columns. we do not know the number of rows. Let's use shape method. -Now, lets get a specific column using the column key +```python +print(df.shape) # as you can see 10000 rows and three columns +``` + (10000, 3) +Let us get all the columns using columns. ```python -heights = df['Height'] # this is now a series +print(df.columns) ``` + Index(['Gender', 'Height', 'Weight'], dtype='object') + +Now, let us get a specific column using the column key ```python -print(heights) +heights = df['Height'] # this is now a series ``` - +```python +print(heights) +``` ```sh 0 73.847017 @@ -529,7 +487,7 @@ print(heights) 2 74.110105 3 71.730978 4 69.881796 - ... + ... 9995 66.172652 9996 67.067155 9997 63.867992 @@ -538,25 +496,21 @@ print(heights) Name: Height, Length: 10000, dtype: float64 ``` - - ```python weights = df['Weight'] # this is now a series ``` - ```python print(weights) ``` - ```sh 0 241.893563 1 162.310473 2 212.740856 3 220.042470 4 206.349801 - ... + ... 9995 136.777454 9996 170.867906 9997 128.475319 @@ -565,25 +519,18 @@ print(weights) Name: Weight, Length: 10000, dtype: float64 ``` - - ```python print(len(heights) == len(weights)) ``` - - - True - - +The describe() method provides a descriptive statistical values of a dataset. ```python -print(heights.describe()) # give statisical information about height data +print(heights.describe()) # give statistical information about height data ``` - ```sh count 10000.000000 mean 66.367560 @@ -596,14 +543,10 @@ print(heights.describe()) # give statisical information about height data Name: Height, dtype: float64 ``` - - ```python print(weights.describe()) ``` - - ```sh count 10000.000000 mean 161.440357 @@ -616,13 +559,10 @@ print(weights.describe()) Name: Weight, dtype: float64 ``` - - ```python print(df.describe()) # describe can also give statistical information from a dataFrame ``` - @@ -675,23 +615,21 @@ print(df.describe()) # describe can also give statistical information from a da
+Similar to describe(), the info() method also give information about the dataset. ## Modifying a DataFrame - - Modifying a DataFrame: * We can create a new DataFrame - * We can create a new column and add it to the DataFrame, - * we can remove an existing column from a DataFrame, - * we can modify an existing column in a DataFrame, + * We can create a new column and add it to the DataFrame, + * we can remove an existing column from a DataFrame, + * we can modify an existing column in a DataFrame, * we can change the data type of column values in the DataFrame ### Creating a DataFrame As always, first we import the necessary packages. Now, lets import pandas and numpy, two best friends ever. - ```python import pandas as pd import numpy as np @@ -734,14 +672,13 @@ print(df) - Adding a column to a DataFrame is like adding a key to a dictionary. First let's use the previous example to create a DataFrame. After we create the DataFrame, we will start modifying the columns and column values. ### Adding a New Column -Let's add a weight column in the DataFrame +Let's add a weight column in the DataFrame ```python weights = [74, 78, 69] @@ -749,7 +686,6 @@ df['Weight'] = weights df ``` - @@ -787,14 +723,12 @@ df Let's add a height column into the DataFrame aswell - ```python heights = [173, 175, 169] df['Height'] = heights print(df) ``` -
@@ -840,7 +774,6 @@ As you can see, the height is in centimeters, so we shoud change it to meters. L ### Modifying column values - ```python df['Height'] = df['Height'] * 0.01 df @@ -895,7 +828,7 @@ def calculate_bmi (): b = w/(h*h) bmi.append(b) return bmi - + bmi = calculate_bmi() ``` @@ -949,19 +882,15 @@ df
- - -### Formating DataFrame columns +### Formatting DataFrame columns The BMI column values of the DataFrame are float with many significant digits after decimal. Let's change it to one significant digit after point. - ```python df['BMI'] = round(df['BMI'], 1) print(df) ``` - @@ -1007,7 +936,6 @@ print(df) The information in the DataFrame seems not yet complete, let's add birth year and current year columns. - ```python birth_year = ['1769', '1985', '1990'] current_year = pd.Series(2020, index=[0, 1,2]) @@ -1016,7 +944,6 @@ df['Current Year'] = current_year df ``` -
@@ -1068,36 +995,26 @@ df
- ## Checking data types of Column values - ```python print(df.Weight.dtype) ``` - - ```sh dtype('int64') ``` - - ```python df['Birth Year'].dtype # it gives string object , we should change this to number ``` - - ```python df['Birth Year'] = df['Birth Year'].astype('int') print(df['Birth Year'].dtype) # let's check the data type now ``` - - ```sh dtype('int32') ``` @@ -1113,32 +1030,23 @@ df['Current Year'].dtype dtype('int32') ``` - Now, the column values of birth year and current year are integers. We can calculate the age. - ```python ages = df['Current Year'] - df['Birth Year'] ages ``` - - - 0 251 1 35 2 30 dtype: int32 - - - ```python df['Ages'] = ages print(df) ``` - @@ -1194,31 +1102,25 @@ print(df)
-The person in the first row lived so far for 251 years. It is unlikely for someone to live so long. Either it is a typo or the data is cooked. So lets fill that data with average of the columns without including outlier. +The person in the first row lived so far for 251 years. It is unlikely for someone to live so long. Either it is a typo or the data is cooked. So lets fill that data with average of the columns without including outlier. mean = (35 + 30)/ 2 - ```python mean = (35 + 30)/ 2 print('Mean: ',mean) #it is good to add some description to the output, so we know what is what ``` - - ```sh Mean: 32.5 ``` - ### Boolean Indexing - ```python print(df[df['Ages'] > 120]) ``` - @@ -1255,8 +1157,6 @@ print(df[df['Ages'] > 120]) print(df[df['Ages'] < 120]) ``` - -
@@ -1300,17 +1200,17 @@ print(df[df['Ages'] < 120])
- ## Exercises: Day 25 -1. Read the hacker_ness.csv file from data directory + +1. Read the hacker_news.csv file from data directory 1. Get the first five rows 1. Get the last five rows 1. Get the title column as pandas series 1. Count the number of rows and columns - * Filter the titles which contain python - * Filter the titles which contain JavaScript - * Explore the data and make sense of it + - Filter the titles which contain python + - Filter the titles which contain JavaScript + - Explore the data and make sense of it 🎉 CONGRATULATIONS ! 🎉 -[<< Day 24](../24_Day/24_statistics.md) | [Day 26 >>](../26_Day/26_python_web.md) +[<< Day 24](../24_Day_Statistics/24_statistics.md) | [Day 26 >>](../26_Day_Python_web/26_python_web.md) diff --git a/26_Day/26_python_web.md b/26_Day_Python_web/26_python_web.md similarity index 87% rename from 26_Day/26_python_web.md rename to 26_Day_Python_web/26_python_web.md index fc138d885..9c6efd684 100644 --- a/26_Day/26_python_web.md +++ b/26_Day_Python_web/26_python_web.md @@ -9,16 +9,16 @@ Author: Asabeneh Yetayeh
- First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021 -[<< Day 25 ](../25_Day/25_pandas.md) | [Day 27 >>](../27_Day/27_python_with_mongodb.md) +[<< Day 25 ](../25_Day_Pandas/25_pandas.md) | [Day 27 >>](../27_Day_Python_with_mongodb/27_python_with_mongodb.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 26](#%f0%9f%93%98-day-26) +- [📘 Day 26](#-day-26) - [Python for Web](#python-for-web) - [Flask](#flask) - [Folder structure](#folder-structure) @@ -28,6 +28,7 @@ - [Python Script](#python-script) - [Navigation](#navigation) - [Creating a layout](#creating-a-layout) + - [Serving Static File](#serving-static-file) - [Deployment](#deployment) - [Creating Heroku account](#creating-heroku-account) - [Login to Heroku](#login-to-heroku) @@ -39,16 +40,17 @@ ## Python for Web -Python is a general purpose programming language and it can be used for many places. In this section, we will see how we use python for the web. There are many python web frame works. Django and Flask are the most popular ones. Today, we will see how to use Flask for web development. +Python is a general purpose programming language and it can be used for many places. In this section, we will see how we use Python for the web. There are many Python web frame works. Django and Flask are the most popular ones. Today, we will see how to use Flask for web development. ### Flask -Flask is a web development framework written in python. Flask uses Jinja2 template engine. Flask can be also used with other modern frond libraries such as react. -If you did not install the virtualenv package ye install it first. Virtual environment will allows to isolate project dependencies. +Flask is a web development framework written in Python. Flask uses Jinja2 template engine. Flask can be also used with other modern front libraries such as React. + +If you did not install the virtualenv package yet install it first. Virtual environment will allows to isolate project dependencies from the local machine dependencies. #### Folder structure -After completing all the step your project file structure should look like this: +After completing all the step, your project file structure should look like this: ```sh @@ -70,7 +72,8 @@ After completing all the step your project file structure should look like this: ### Setting up your project directory -Follow, the following steps to get started with Flask. +Follow the following steps to get started with Flask. + Step 1: install virtualenv using the following command. ```sh @@ -82,8 +85,8 @@ Step 2: ```sh asabeneh@Asabeneh:~/Desktop$ mkdir python_for_web asabeneh@Asabeneh:~/Desktop$ cd python_for_web/ -asabeneh@Asabeneh:~/Desktop/python_for_web$ virtualenv env -asabeneh@Asabeneh:~/Desktop/python_for_web$ source env/bin/activate +asabeneh@Asabeneh:~/Desktop/python_for_web$ virtualenv venv +asabeneh@Asabeneh:~/Desktop/python_for_web$ source venv/bin/activate (env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze (env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip install Flask (env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze @@ -96,7 +99,7 @@ Werkzeug==0.16.0 (env) asabeneh@Asabeneh:~/Desktop/python_for_web$ ``` -We created a project director named python*for_web. Inside the project we created a virtual environment \_env* which could be any name but I prefer to call it _env_. Then we activated the virtual environment. We used pip freeze to check the installed packages in the project directory. The result of pip freeze was empty because a package was not installed yet. +We created a project director named python_for_web. Inside the project we created a virtual environment *venv* which could be any name but I prefer to call it _venv_. Then we activated the virtual environment. We used pip freeze to check the installed packages in the project directory. The result of pip freeze was empty because a package was not installed yet. Now, let's create app.py file in the project directory and write the following code. The app.py file will be the main file in the project. The following code has flask module, os module. @@ -115,11 +118,6 @@ app = Flask(__name__) def home (): return '

Welcome

' -@app.route('/about') -def about(): - return '

About us

' - - if __name__ == '__main__': # for deployment we use the environ # to make it work for both production and development @@ -127,9 +125,11 @@ if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=port) ``` +To run the flask application, write python app.py in the main flask application directory. + After you run _python app.py_ check local host 5000. -Let's add additional route. +Let us add additional route. Creating about route ```py @@ -154,7 +154,7 @@ if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=port) ``` -Now, we added the about route in the above code. How about if we want to render an HTML file instead of string? It is possible to render HTML file using the function _render_templae_. Let's create a folder called templates and create home.html and about.html in the project directory. Let's also import the _render_template_ function from flask. +Now, we added the about route in the above code. How about if we want to render an HTML file instead of string? It is possible to render HTML file using the function *render_template*. Let us create a folder called templates and create home.html and about.html in the project directory. Let us also import the *render_template* function from flask. ### Creating templates @@ -231,7 +231,7 @@ As you can see to go to different pages or to navigate we need a navigation. Let ``` -Now, we can navigate between the pages using the above link. Let's create additional page which handle form data. You can call it any name, I like to call it post.html. +Now, we can navigate between the pages using the above link. Let us create additional page which handle form data. You can call it any name, I like to call it post.html. We can inject data to the HTML files using Jinja2 template engine. @@ -285,11 +285,11 @@ home.html
  • About

    • Welcome to {{name}}

    +
      {% for tech in techs %} -
      • {{tech}}
        • -
      {% endfor %} +
    ``` @@ -321,6 +321,10 @@ about.html In the template files, there are lots of repeated codes, we can write a layout and we can remove the repetition. Let's create layout.html inside the templates folder. After we create the layout we will import to every file. +#### Serving Static File + +Create a static folder in your project directory. Inside the static folder create CSS or styles folder and create a CSS stylesheet. We use the *url_for* module to serve the static file. + layout.html ```html @@ -429,7 +433,7 @@ post.html {% endblock %} ``` -Request methods, there are different request methods(GET, POST, PUT, DELETE) are the common request methods which allow us to do CRUD(Create Read Update Delete) operation. +Request methods, there are different request methods(GET, POST, PUT, DELETE) are the common request methods which allow us to do CRUD(Create, Read, Update, Delete) operation. In the post, route we will use GET and POST method alternative depending on the type of request, check how it looks in the code below. The request method is a function to handle request methods and also to access form data. app.py @@ -564,4 +568,4 @@ After this step you will get an application like [this](http://thirdaysofpython- 🎉 CONGRATULATIONS ! 🎉 -[<< Day 25 ](../25_Day/25_pandas.md) | [Day 27 >>](../27_Day/27_python_with_mongodb.md) \ No newline at end of file +[<< Day 25 ](../25_Day_Pandas/25_pandas.md) | [Day 27 >>](../27_Day_Python_with_mongodb/27_python_with_mongodb.md) diff --git a/27_Day/27_python_with_mongodb.md b/27_Day_Python_with_mongodb/27_python_with_mongodb.md similarity index 86% rename from 27_Day/27_python_with_mongodb.md rename to 27_Day_Python_with_mongodb/27_python_with_mongodb.md index e566ab0e5..2214d84cf 100644 --- a/27_Day/27_python_with_mongodb.md +++ b/27_Day_Python_with_mongodb/27_python_with_mongodb.md @@ -9,17 +9,16 @@ Author: Asabeneh Yetayeh
    - First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021     - -[<< Day 26](../26_Day/26_python_web.md) | [Day 28 >>](../28_Day/28_API.md) +[<< Day 26](../26_Day_Python_web/26_python_web.md) | [Day 28 >>](../28_Day_API/28_API.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 27](#%f0%9f%93%98-day-27) +- [📘 Day 27](#-day-27) - [Python with MongoDB](#python-with-mongodb) - [MongoDB](#mongodb) - [SQL versus NoSQL](#sql-versus-nosql) @@ -35,29 +34,29 @@ - [Update with query](#update-with-query) - [Delete Document](#delete-document) - [Drop a collection](#drop-a-collection) - - [💻 Exercises: Day 27](#%f0%9f%92%bb-exercises-day-27) + - [💻 Exercises: Day 27](#-exercises-day-27) # 📘 Day 27 # Python with MongoDB -Python is a backend technology and it can be connected with different data base applications such as MongoDB and SQL. +Python is a backend technology and it can be connected with different data base applications. It can be connected to both SQL and noSQL databases. In this section, we connect Python with MongoDB database which is noSQL database. ## MongoDB -MongoDB is a NoSQL database. MongoDB stores data in a JSON like document which make MongoDB very flexible and scalable. Let's see the different terminologies of SQL and NoSQL databases. The following table will make the difference between SQL vs NoSQL databases. +MongoDB is a NoSQL database. MongoDB stores data in a JSON like document which make MongoDB very flexible and scalable. Let us see the different terminologies of SQL and NoSQL databases. The following table will make the difference between SQL versus NoSQL databases. ### SQL versus NoSQL ![SQL versus NoSQL](../images/mongoDB/sql-vs-nosql.png) -In this section we will focus on a NoSQL database MongoDB. Lets sign up on [mongoDB](https://www.mongodb.com/) by click on the sign in button then click register on the next page. +In this section, we will focus on a NoSQL database MongoDB. Lets sign up on [mongoDB](https://www.mongodb.com/) by click on the sign in button then click register on the next page. -![MongoDB Sign up pages](./images/mongoDB/mongodb-signup-page.png) +![MongoDB Sign up pages](../images/mongoDB/mongodb-signup-page.png) Complete the fields and click continue -![Mongodb register](./images/mongoDB/mongodb-register.png) +![Mongodb register](../images/mongoDB/mongodb-register.png) Select the free plan @@ -83,27 +82,28 @@ Create a mongoDB uri link ![Mongodb create uri](../images/mongoDB/mongodb-create-uri.png) -Select python 3.6 or above driver +Select Python 3.6 or above driver ![Mongodb python driver](../images/mongoDB/mongodb-python-driver.png) ### Getting Connection String(MongoDB URI) -Copy the connection string only link and you get something like this +Copy the connection string link and you will get something like this: ```sh mongodb+srv://asabeneh:@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority ``` -Don't worry about the url, it is a means to connect your application with mongoDB. -Let's replace the password placeholder with the passed you use to add a user. +Do not worry about the url, it is a means to connect your application with mongoDB. +Let us replace the password placeholder with the password you used to add a user. + **Example:** ```sh mongodb+srv://asabeneh:123123123@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority ``` -Now, I replaced everything and the password is 123123 and the name of the database is thirty_days_python. This is just an example, your password must a bit strong than this. +Now, I replaced everything and the password is 123123 and the name of the database is *thirty_days_python*. This is just an example, your password must be stronger than the example password. Python needs a mongoDB driver to access mongoDB database. We will use _pymongo_ with _dnspython_ to connect our application with mongoDB base . Inside your project directory install pymongo and dnspython. @@ -140,8 +140,9 @@ When we run the above code we get the default mongoDB databases. ### Creating a database and collection -Let's create a database, database and collection in mongoDB will be created if it doesn't exist. Let's create a data base name _thirty_days_of_python_ and _students_ collection. -To create a database +Let us create a database, database and collection in mongoDB will be created if it doesn't exist. Let's create a data base name *thirty_days_of_python* and *students* collection. + +To create a database: ```sh db = client.name_of_databse # we can create a database like this or the second way @@ -168,8 +169,8 @@ if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=port) ``` -After we create a database, we also created a students collection and we used _insert_one_ method to insert a document. -Now, the data _thirty_days_of_python_ and _students_ collection have been created and the document has been inserted. +After we create a database, we also created a students collection and we used *insert_one()* method to insert a document. +Now, the database *thirty_days_of_python* and *students* collection have been created and the document has been inserted. Check your mongoDB cluster and you will see both the database and the collection. Inside the collection, there will be a document. ```sh @@ -184,7 +185,7 @@ If you have seen on the figure, the document has been created with a long id whi ### Inserting many documents to collection -The _insert_one()_ method inserts one item at a time if we want to insert many documents at once either we use _insert_many()_ method or for loop. +The *insert_one()* method inserts one item at a time if we want to insert many documents at once either we use *insert_many()* method or for loop. We can use for loop to inset many documents at once. ```py @@ -213,8 +214,8 @@ if __name__ == '__main__': ### MongoDB Find -The find and findOne methods common method to find data in a collection in mongoDB database. It is similar to the SELECT statement in a MySQL database. -Let's use the _find_one()_ method to get documents in the database collection. +The *find()* and *findOne()* methods are common method to find data in a collection in mongoDB database. It is similar to the SELECT statement in a MySQL database. +Let us use the _find_one()_ method to get a document in a database collection. - \*find_one({"\_id": ObjectId("id"}): Gets the first occurrence if an id is not provided @@ -242,7 +243,7 @@ if __name__ == '__main__': {'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Helsinki', 'city': 'Helsinki', 'age': 250} ``` -The above query returns the first entry but we can target specific document using specific \_id. Let's do one example, let's use David's id to get David object. +The above query returns the first entry but we can target specific document using specific \_id. Let us do one example, use David's id to get David object. '\_id':ObjectId('5df68a23f106fe2d315bbc8c') ```py @@ -293,7 +294,7 @@ if __name__ == '__main__': ``` ```sh -{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Helsinki', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} {'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} {'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} {'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} @@ -340,6 +341,10 @@ import os # importing operating system module MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) db = client['thirty_days_of_python'] # accessing the database + +query = { + "country":"Finland" +} students = db.students.find(query) for student in students: @@ -365,12 +370,16 @@ Query with modifiers # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) db = client['thirty_days_of_python'] # accessing the database -students = db.students.find(query) +query = { + "city":"Helsinki" +} +students = db.students.find(query) for student in students: print(student) @@ -394,12 +403,16 @@ if __name__ == '__main__': # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) db = client['thirty_days_of_python'] # accessing the database +query = { + "country":"Finland", + "city":"Helsinki" +} students = db.students.find(query) - for student in students: print(student) @@ -423,6 +436,7 @@ Query with modifiers # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) @@ -432,7 +446,6 @@ students = db.students.find(query) for student in students: print(student) - app = Flask(__name__) if __name__ == '__main__': # for deployment we use the environ @@ -450,6 +463,7 @@ if __name__ == '__main__': # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) @@ -473,6 +487,7 @@ We can limit the number of documents we return using the _limit()_ method. # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) @@ -482,12 +497,13 @@ db.students.find().limit(3) ### Find with sort -By default, sort is in ascending order. We can change to descending by adding -1 parameter. +By default, sort is in ascending order. We can change the sorting to descending order by adding -1 parameter. ```py # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) @@ -537,13 +553,14 @@ Descending order ### Update with query -We will use _update_one()_ method to update one item. It takes two object one is a qeury and the second is the new object. -The first person, Asabeneh got a very implausible age. Let's update Asabeneh's age. +We will use *update_one()* method to update one item. It takes two object one is a query and the second is the new object. +The first person, Asabeneh got a very implausible age. Let us update Asabeneh's age. ```py # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) @@ -573,17 +590,18 @@ if __name__ == '__main__': {'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} ``` -When we want to update many documents at once we use *upate_many()*method. +When we want to update many documents at once we use *upate_many()* method. ### Delete Document -The method _delete_one()_ delete one document.The _delete_one()_ take a query object parameter. It only removes the first occurrence. -Let's remove one John from the collection. +The method *delete_one()* deletes one document. The *delete_one()* takes a query object parameter. It only removes the first occurrence. +Let us remove one John from the collection. ```py # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) @@ -613,9 +631,9 @@ if __name__ == '__main__': {'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} ``` -As you can see John as been removed from the collection +As you can see John has been removed from the collection. -When we want to delete many documents we use _delete_many()_ method, it takes a query object. If we pass an empyt query object to _delete_many({})_ it will delete all the documents in the collection. +When we want to delete many documents we use *delete_many()* method, it takes a query object. If we pass an empty query object to *delete_many({})* it will delete all the documents in the collection. ### Drop a collection @@ -625,6 +643,7 @@ Using the _drop()_ method we can delete a collection from a database. # let's import the flask from flask import Flask, render_template import os # importing operating system module +import pymongo MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' client = pymongo.MongoClient(MONGODB_URI) @@ -638,4 +657,4 @@ Now, we have deleted the students collection from the database. 🎉 CONGRATULATIONS ! 🎉 -[<< Day 26](../26_Day/26_python_web.md) | [Day 28 >>](../28_Day/28_API.md) +[<< Day 26](../26_Day_Python_web/26_python_web.md) | [Day 28 >>](../28_Day_API/28_API.md) diff --git a/28_Day/28_API.md b/28_Day_API/28_API.md similarity index 77% rename from 28_Day/28_API.md rename to 28_Day_API/28_API.md index b094eb531..18532bc5a 100644 --- a/28_Day/28_API.md +++ b/28_Day_API/28_API.md @@ -9,17 +9,17 @@ Author: Asabeneh Yetayeh
    - First Edition: Nov 22 - Dec 22, 2019 +Second Edition: July, 2021     -[<< Day 27](../27_Day/27_python_with_mongodb.md) | [Day 29 >>](../29_Day/29_building_API.md) +[<< Day 27](../27_Day_Python_with_mongodb/27_python_with_mongodb.md) | [Day 29 >>](../29_Day_Building_API/29_building_API.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) -- [📘 Day 28](#%f0%9f%93%98-day-28) +- [📘 Day 28](#-day-28) - [Application Programming Interface(API)](#application-programming-interfaceapi) - [API](#api) - [Building API](#building-api) @@ -30,7 +30,7 @@ - [Header Fields](#header-fields) - [The message body](#the-message-body) - [Request Methods](#request-methods) - - [💻 Exercises: Day 28](#%f0%9f%92%bb-exercises-day-28) + - [💻 Exercises: Day 28](#-exercises-day-28) # 📘 Day 28 @@ -38,29 +38,38 @@ ## API -Application Programming Interface(API). The kind of API will cover in this section is going to be Web APIS. +API stands for Application Programming Interface. The kind of API we will cover in this section is going to be Web APIs. Web APIs are the defined interfaces through which interactions happen between an enterprise and applications that use its assets, which also is a Service Level Agreement (SLA) to specify the functional provider and expose the service path or URL for its API users. + In the context of web development, an API is defined as a set of specifications, such as Hypertext Transfer Protocol (HTTP) request messages, along with a definition of the structure of response messages, usually in an XML or a JavaScript Object Notation (JSON) format. + Web API has been moving away from Simple Object Access Protocol (SOAP) based web services and service-oriented architecture (SOA) towards more direct representational state transfer (REST) style web resources. -Social media services, web APIs have allowed web communities to share content and data between communities and different platforms. Using API, content that is created in one place dynamically can be posted and updated to multiple locations on the web. -For example, Twitter's REST API allows developers to access core Twitter data and the Search API provides methods for developers to interact with Twitter Search and trends data. Many applications provide API end points. An example [API](https://restcountries.eu/rest/v2/all). -In this section, we will cove a RESTful API that uses HTTP request methods to GET, PUT, POST and DELETE data. + +Social media services, web APIs have allowed web communities to share content and data between communities and different platforms. + +Using API, content that is created in one place dynamically can be posted and updated to multiple locations on the web. + +For example, Twitter's REST API allows developers to access core Twitter data and the Search API provides methods for developers to interact with Twitter Search and trends data. + +Many applications provide API end points. Some examples of API such as the countries [API](https://restcountries.eu/rest/v2/all), [cat's breed API](https://api.thecatapi.com/v1/breeds). + +In this section, we will cover a RESTful API that uses HTTP request methods to GET, PUT, POST and DELETE data. ## Building API -RESTful API is an application program interface (API) that uses HTTP requests to GET, PUT, POST and DELETE data. In the previous sections, we have learned about python, flask and mongoDB. We will use the knowledge we acquire to develop a RESTful API using python flask and mongoDB. Every application which has CRUD(Create, Read, Update, Delete) operation has an API to create data, to get data, to update data or to delete data from database. +RESTful API is an application program interface (API) that uses HTTP requests to GET, PUT, POST and DELETE data. In the previous sections, we have learned about python, flask and mongoDB. We will use the knowledge we acquire to develop a RESTful API using Python flask and mongoDB database. Every application which has CRUD(Create, Read, Update, Delete) operation has an API to create data, to get data, to update data or to delete data from a database. -To build an API, it is good to understand HTTP protocol. +To build an API, it is good to understand HTTP protocol and HTTP request and response cycle. ## HTTP(Hypertext Transfer Protocol) -HTTP is an established communication protocol between a client and a server. A client in this case is a browser and server is the place where you access data. HTTP is a network protocol used to deliver resources which could be files on the World Wide Web, whether they're HTML files, image files, query results, scripts, or other file types. +HTTP is an established communication protocol between a client and a server. A client in this case is a browser and server is the place where you access data. HTTP is a network protocol used to deliver resources which could be files on the World Wide Web, whether they are HTML files, image files, query results, scripts, or other file types. A browser is an HTTP client because it sends requests to an HTTP server (Web server), which then sends responses back to the client. ## Structure of HTTP -HTTP uses client-server model. An HTTP client opens a connection and sends a request message to an HTTP server and the HTTP server returns message which is the requested resources. When the request response cycle completes the server closes the connection. +HTTP uses client-server model. An HTTP client opens a connection and sends a request message to an HTTP server and the HTTP server returns response message which is the requested resources. When the request response cycle completes the server closes the connection. ![HTTP request response cycle](../images/http_request_response_cycle.png) @@ -71,7 +80,7 @@ The format of the request and response messages are similar. Both kinds of messa - a blank line (i.e. a CRLF by itself), and - an optional message body (e.g. a file, or query data, or query output). -Let's an example of request and response messages by navigating this site:https://thirtydaysofpython-v1-final.herokuapp.com/ +Let us an example of request and response messages by navigating this site:https://thirtydaysofpython-v1-final.herokuapp.com/. This site has been deployed on Heroku free dyno and in some months may not work because of high request. Support this work to make the server run all the time. ![Request and Response header](../images/request_response_header.png) @@ -83,9 +92,8 @@ A request line has three parts, separated by spaces: - method name(GET, POST, HEAD) - path of the requested resource, - the version of HTTP being used. eg GET / HTTP/1.1 -- -GET is the most common HTTP to get or read resource and POST a common request method to create resource. +GET is the most common HTTP that helps to get or read resource and POST is a common request method to create resource. ### Initial Response Line(Status Line) @@ -101,7 +109,7 @@ The initial response line, called the status line, also has three parts separate The most common status codes are: 200 OK: The request succeeded, and the resulting resource (e.g. file or script output) is returned in the message body. 500 Server Error -A complete list of HTTP status code can be found [here](https://httpstatuses.com/) +A complete list of HTTP status code can be found [here](https://httpstatuses.com/). It can be also found [here](https://httpstatusdogs.com/). ### Header Fields @@ -151,4 +159,4 @@ The GET, POST, PUT and DELETE are the HTTP request methods which we are going to 🎉 CONGRATULATIONS ! 🎉 -[<< Day 27](../27_Day/27_python_with_mongodb.md) | [Day 29 >>](../29_Day/29_building_API.md) +[<< Day 27](../27_Day_Python_with_mongodb/27_python_with_mongodb.md) | [Day 29 >>](../29_Day_Building_API/29_building_API.md) diff --git a/29_Day/29_building_API.md b/29_Day_Building_API/29_building_API.md similarity index 91% rename from 29_Day/29_building_API.md rename to 29_Day_Building_API/29_building_API.md index dc000197f..6d77abb37 100644 --- a/29_Day/29_building_API.md +++ b/29_Day_Building_API/29_building_API.md @@ -9,13 +9,12 @@ Author: Asabeneh Yetayeh
    - First Edition: Nov 22 - Dec 22, 2019 +Second Edition: July, 2021     - -[<< Day 28](../28_Day/28_API.md) | [Day 29 >>](../30_Day/30_conclusion.md) +[<< Day 28](../28_Day_API/28_API.md) | [Day 29 >>](../30_Day_Conclusions/30_conclusions.md) ![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) @@ -27,19 +26,27 @@ - [Creating data using POST](#creating-data-using-post) - [Updating using PUT](#updating-using-put) - [Deleting a document using Delete](#deleting-a-document-using-delete) -- [💻 Exercises: Day 29](#%f0%9f%92%bb-exercises-day-29) +- [💻 Exercises: Day 29](#-exercises-day-29) ## Day 29 ## Building API -An example [API](https://restcountries.eu/rest/v2/all). + In this section, we will cove a RESTful API that uses HTTP request methods to GET, PUT, POST and DELETE data. RESTful API is an application program interface (API) that uses HTTP requests to GET, PUT, POST and DELETE data. In the previous sections, we have learned about python, flask and mongoDB. We will use the knowledge we acquire to develop a RESTful API using python flask and mongoDB. Every application which has CRUD(Create, Read, Update, Delete) operation has an API to create data, to get data, to update data or to delete data from database. -The browser can handle only get request. Therefore, we have to have a tool which can help us to handle all request methods(GET, POST, PUT, DELETE). [Postman](https://www.getpostman.com/) is a very popular tool when it comes to API development. So, if you like to do this section you need to [download postman](https://www.getpostman.com/) -![Postman](./images/postman.png) +The browser can handle only get request. Therefore, we have to have a tool which can help us to handle all request methods(GET, POST, PUT, DELETE). + +Examples of API + +- Countries API: https://restcountries.eu/rest/v2/all +- Cats breed API: https://api.thecatapi.com/v1/breeds + +[Postman](https://www.getpostman.com/) is a very popular tool when it comes to API development. So, if you like to do this section you need to [download postman](https://www.getpostman.com/). An alternative of Postman is [Insomnia](https://insomnia.rest/download). + +![Postman](../images/postman.png) ### Structure of an API @@ -60,7 +67,7 @@ PUT Used for object update DELETE Used for object deletion ``` -Let's build an api which collects information about 30DaysOfPython students. We will collect the name, country, city, date of birth, skills and bio. +Let us build an API which collects information about 30DaysOfPython students. We will collect the name, country, city, date of birth, skills and bio. To implement this API, we will use: @@ -71,13 +78,14 @@ To implement this API, we will use: ### Retrieving data using get -In this step, let's use dummy data and return it as a json. To return it as json, will use json module and Response module. +In this step, let us use dummy data and return it as a json. To return it as json, will use json module and Response module. ```py # let's import the flask from flask import Flask, Response import json +import os app = Flask(__name__) @@ -121,7 +129,7 @@ When you request the http://localhost:5000/api/v1.0/students url on the browser ![Get on postman](../images/get_on_postman.png) -In stead of displaying dummy data let's connect the flask application with MongoDB and let's get data from mongoDB database. +In stead of displaying dummy data let us connect the flask application with MongoDB and get data from mongoDB database. ```py # let's import the flask @@ -129,7 +137,7 @@ In stead of displaying dummy data let's connect the flask application with Mongo from flask import Flask, Response import json import pymongo - +import os app = Flask(__name__) @@ -187,7 +195,7 @@ By connecting the flask, we can fetch students collection data from the thirty_d ### Getting a document by id -We can access signle document using an id, let's access Asabeneh using his id. +We can access single document using an id, let's access Asabeneh using his id. http://localhost:5000/api/v1.0/students/5df68a21f106fe2d315bbc8b ```py @@ -199,7 +207,7 @@ from bson.objectid import ObjectId import json from bson.json_util import dumps import pymongo - +import os app = Flask(__name__) @@ -252,7 +260,7 @@ import json from bson.json_util import dumps import pymongo from datetime import datetime - +import os app = Flask(__name__) @@ -310,7 +318,7 @@ import json from bson.json_util import dumps import pymongo from datetime import datetime - +import os app = Flask(__name__) @@ -391,7 +399,7 @@ import json from bson.json_util import dumps import pymongo from datetime import datetime - +import os app = Flask(__name__) @@ -492,4 +500,4 @@ if __name__ == '__main__': 🎉 CONGRATULATIONS ! 🎉 -[<< Day 28](../28_Day/28_API.md) | [Day 29 >>](../30_Day/30_conclusion.md) +[<< Day 28](../28_Day_API/28_API.md) | [Day 30 >>](../30_Day_Conclusions/30_conclusions.md) diff --git a/30_Day/30_conclusion.md b/30_Day/30_conclusion.md deleted file mode 100644 index e1a489206..000000000 --- a/30_Day/30_conclusion.md +++ /dev/null @@ -1,40 +0,0 @@ -
    -

    30 Days Of Python: Day 30- Conclusions

    - - - - - Twitter Follow - - -Author: -Asabeneh Yetayeh
    - First Edition: Nov 22 - Dec 22, 2019 -     - -
    - -
    - -Support [**Asabeneh**](https://www.patreon.com/asabeneh?fan_landing=true) to create more educational materials -[become-asabeneh-patreon](https://www.patreon.com/asabeneh?fan_landing=true) - -
    - -[<< Day 29](../29_Day/29_building_API.md) -![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) - -- [Day 30](#day-30) - - [Conclusions](#conclusions) - -# Day 30 - -## Conclusions - -In the process of preparing this material I I have learning quite a lot and you have inspired me to do more. Congratulations for making it to this level. If you have done all the exercise and the projects, now you are capable to go a data analysis, data science, machine learning or web development. - -GIVE FEEDBACK: http://thirtydayofpython-api.herokuapp.com/feedback - -🎉 CONGRATULATIONS ! 🎉 - -[<< Day 29](../29_Day/29_building_API.md) diff --git a/30_Day_Conclusions/30_conclusions.md b/30_Day_Conclusions/30_conclusions.md new file mode 100644 index 000000000..1a3b0e39f --- /dev/null +++ b/30_Day_Conclusions/30_conclusions.md @@ -0,0 +1,41 @@ +
    + +

    30 Days Of Python: Day 30- Conclusions

    + + + + + Twitter Follow + + + +Author: +Asabeneh Yetayeh
    +Second Edition: July, 2021 +     + +
    + +[<< Day 29](../29_Day_Building_API/29_building_API.md) +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [Day 30](#day-30) + - [Conclusions](#conclusions) + - [Testimony](#testimony) + +# Day 30 + + +## Conclusions + +In the process of preparing this material I have learned quite a lot and you have inspired me to do more. Congratulations for making it to this level. If you have done all the exercise and the projects, now you are capable to go to a data analysis, data science, machine learning or web development paths. [Support the author for more educational materials](https://www.paypal.com/paypalme/asabeneh). + +## Testimony +Now it is time to express your thoughts about the Author and 30DaysOfPython. You can leave your testimonial on this [link](https://www.asabeneh.com/testimonials) + +GIVE FEEDBACK: +http://thirtydayofpython-api.herokuapp.com/feedback + +🎉 CONGRATULATIONS ! 🎉 + +[<< Day 29](../29_Day_Building_API/29_building_API.md) diff --git a/Chinese/02_variables_builtin_functions.md b/Chinese/02_variables_builtin_functions.md new file mode 100644 index 000000000..36ba68bb4 --- /dev/null +++ b/Chinese/02_variables_builtin_functions.md @@ -0,0 +1,307 @@ +
    +

    30 天 Python：第二天 - 变量, 内置函数

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     + +
    + +[<< 第一天](./readme.md) | [第三天 >>](./03_operators.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +_阅读大约需要：12m_ + +- [📘 第二天](#-第二天) + - [内置函数](#内置函数) + - [变量](#变量) + - [在一行中声明多个变量](#在一行中声明多个变量) + - [数据类型](#数据类型) + - [数据类型转换](#数据类型转换) + - [Numbers](#numbers) + - [💻 练习 - 第二天](#-练习---第二天) + - [练习： 1级](#练习-1级) + - [练习： 2级](#练习-2级) + +# 📘 第二天 + +## 内置函数 + +Python 提供了很多内置函数。内置函数是全局可用的，这意味着您可以在不导入或配置的情况下使用内置函数。以下是几种最常用的 Python 内置函数：_print()_, _len()_, _type()_, _int()_, _float()_, _str()_, _input()_, _list()_, _dict()_, _min()_, _max()_, _sum()_, _sorted()_, _open()_, _file()_, _help()_, _dir()_。在下表中，您将看到从 [Python 文档](https://docs.python.org/3.9/library/functions.html)中获取的详尽的 Python 内置函数列表。 + +![Built-in Functions](../images/builtin-functions.png) + +让我们打开 Python shell 并开始使用一些最常见的内置函数。 + +![Built-in functions](../images/builtin-functions_practice.png) + +使用不同的内置函数进行更多练习 + +![Help and Dir Built in Functions](../images/help_and_dir_builtin.png) + +如上所示，Python 有保留字。我们不能使用保留字来声明变量或函数。我们将在下一节中介绍变量。 + +我相信，现在您已经熟悉了内置函数。让我们再练习一下内置函数，然后我们继续下一节。 + +![Min Max Sum](../images/builtin-functional-final.png) + +## 变量 + +变量将数据存储在计算机内存中。在许多编程语言中，建议使用助记符变量。助记符变量是一个易于记忆和关联的变量名。变量指的是存储数据的内存地址。 + +命名变量时，不允许以数字开头、使用特殊字符和连字符。变量可以有一个简短的名称（如 x、y、z），但强烈建议使用更具描述性的名称（名字、姓氏、年龄、国家/地区）。 + +Python 变量名规则 + +- 变量名必须以字母或下划线字符开头 +- 变量名不能以数字开头 +- 变量名只能包含字母数字字符和下划线（A-z、0-9 和 \_ ） +- 变量名区分大小写（firstname、Firstname、FirstName 和 FIRSTNAME 是不同的变量） + +以下是一些有效变量名的示例： + +```shell +firstname +lastname +age +country +city +first_name +last_name +capital_city +_if # 如果我们想使用保留字作为变量 +year_2021 +year2021 +current_year_2021 +birth_year +num1 +num2 +``` + +无效的变量名 + +```shell +first-name +first@name +first$name +num-1 +1num +``` +我们将使用许多 Python 开发人员采用的标准 Python 变量命名样式。Python 开发人员使用蛇形命名法 (snake_case) 变量命名约定。对于包含多个单词的变量，我们在每个单词后使用下划线（例如 first_name、last_name、engine_rotation_speed）。下面的示例是变量的标准命名示例，当变量名称超过一个单词时，需要使用下划线。 + +当我们将某种数据类型分配给变量时，这称为变量声明。例如，在下面的例子中，我的名字被分配给变量 first_name。等号是赋值运算符。赋值意味着将数据存储在变量中。Python 中的等号与数学中的等号不同。 + +_示例：_ + +```py +# Python 中的变量 +first_name = 'Asabeneh' +last_name = 'Yetayeh' +country = 'Finland' +city = 'Helsinki' +age = 250 +is_married = True +skills = ['HTML', 'CSS', 'JS', 'React', 'Python'] +person_info = { + 'firstname':'Asabeneh', + 'lastname':'Yetayeh', + 'country':'Finland', + 'city':'Helsinki' + } +``` + +让我们使用 _print()_ 和 _len()_ 内置函数。打印函数可以接受无限数量的参数。参数是一个值，我们可以将其传递或放在函数括号内，请参见下面的示例。 + +**示例：** + +```py +print('Hello, World!') # The text Hello, World! is an argument +print('Hello',',', 'World','!') # it can take multiple arguments, four arguments have been passed +print(len('Hello, World!')) # it takes only one argument +``` + +让我们打印并算出在上面声明的变量的长度： + + +**示例：** + +```py +# 打印变量的值 + +print('First name:', first_name) +print('First name length:', len(first_name)) +print('Last name: ', last_name) +print('Last name length: ', len(last_name)) +print('Country: ', country) +print('City: ', city) +print('Age: ', age) +print('Married: ', is_married) +print('Skills: ', skills) +print('Person information: ', person_info) +``` + +### 在一行中声明多个变量 + +多个变量也可以在同一行中声明： + +**示例：** + +```py +first_name, last_name, country, age, is_married = 'Asabeneh', 'Yetayeh', 'Helsink', 250, True + +print(first_name, last_name, country, age, is_married) +print('First name:', first_name) +print('Last name: ', last_name) +print('Country: ', country) +print('Age: ', age) +print('Married: ', is_married) +``` + +使用内置函数 _input()_ 获取用户输入。让我们从用户那里得到的数据并赋值给 first_name 和 age 变量。 +. +**示例：** + +```py +first_name = input('What is your name: ') +age = input('How old are you? ') + +print(first_name) +print(age) +``` + +## 数据类型 + +Python 中有多种数据类型。为了识别数据类型，我们使用 _type_ 内置函数。我想请您熟练掌握不同的数据类型。当涉及到编程时，一切都与数据类型有关。我在一开始就介绍了数据类型，现在又提到了，因为每个主题都与数据类型有关。我们将在数据类型各自的章节中做更详细的介绍。 + +## 数据类型转换 + +- 检查数据类型：为了检查某些数据/变量的数据类型，我们使用 _type_ 函数 + + **示例：** + +```py +# python 中不同的数据类型 +# 声明一些有各种数据类型的变量 + +first_name = 'Asabeneh' # str +last_name = 'Yetayeh' # str +country = 'Finland' # str +city= 'Helsinki' # str +age = 250 # int, 不用担心，这并不是我真实的年龄 :) + +# Printing out types +print(type('Asabeneh')) # str +print(type(first_name)) # str +print(type(10)) # int +print(type(3.14)) # float +print(type(1 + 1j)) # complex +print(type(True)) # bool +print(type([1, 2, 3, 4])) # list +print(type({'name':'Asabeneh','age':250, 'is_married':250})) # dict +print(type((1,2))) # tuple +print(type(zip([1,2],[3,4]))) # set +``` + +- 数据类型转换：将一种数据类型转换为另一种数据类型。我们使用 _int()_、_float()_、_str()_、_list_、_set_ +当我们进行算术运算时，字符串数字应首先转换为 int 或 float，否则将返回错误。如果我们将数字与字符串连接起来，则应首先将数字转换为字符串。我们将在字符串部分讨论连接。 + + + **示例：** + +```py +# 整型 到 浮点型 +num_int = 10 +print('num_int',num_int) # 10 +num_float = float(num_int) +print('num_float:', num_float) # 10.0 + +# 浮点型 到 整型 +gravity = 9.81 +print(int(gravity)) # 9 + +# 整型 到 字符串 +num_int = 10 +print(num_int) # 10 +num_str = str(num_int) +print(num_str) # '10' + +# 字符串 到 整型或浮点型 +num_str = '10.6' +print('num_int', int(num_str)) # 10 +print('num_float', float(num_str)) # 10.6 + +# 字符串 到 列表 +first_name = 'Asabeneh' +print(first_name) # 'Asabeneh' +first_name_to_list = list(first_name) +print(first_name_to_list) # ['A', 's', 'a', 'b', 'e', 'n', 'e', 'h'] +``` + +## Number + +Python 中不同的数字类型 + +- Integer：整型数字(负数, 0 以及 正数) + 示例： + ... -3, -2, -1, 0, 1, 2, 3 ... +- Float：浮点数 + 示例 + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... +- Complex：复数 + 示例 + 1 + j, 2 + 4j, 1 - 1j + +🌕 你太棒了。你刚刚完成了第 2 天的挑战，在通往成功的路上又前进了一步。现在做一些练习来锻练你的大脑和肌肉。 + + +## 💻 练习 - 第二天 + +### 练习： 1级 + +1. 在 30DaysOfPython 文件夹内创建一个 day_2 文件夹。在这个文件夹里创建一个 variables.py 文件 +2. 输入注释 '第二天： 30 Days of python programming' +3. 声明一个 first name 变量，并为它赋值 +4. 声明一个 last name 变量，并为它赋值 +5. 声明一个 full name 变量，并为它赋值 +6. 声明一个 country 变量，并为它赋值 +7. 声明一个 city 变量，并为它赋值 +8. 声明一个 age 变量，并为它赋值 +9. 声明一个 year 变量，并为它赋值 +10. 声明一个 is_married 变量，并为它赋值 +11. 声明一个 is_true 变量，并为它赋值 +12. 声明一个 is_light_on 变量，并为它赋值 +13. 在一行中声明多个变量 + +### 练习： 2级 + +1. 使用 _type()_ 内置函数检查你声明变量的数据类型 +1. 使用 _len()_ 内置函数，算出你 first name 变量的长度 +1. 比较你 first name 和 last name 变量的长度 +1. 声明变量 num_one 为5，num_two 为4 + 1. 将 num_one 和 num_two 相加，并赋值给 total 变量 + 2. 将 num_one 和 num_two 相减，并赋值给 diff 变量 + 3. 将 num_one 和 num_two 相乘，并赋值给 product 变量 + 4. 将 num_one 和 num_two 相乘，并赋值给 division 变量 + 5. 使用模数除法求出 num_two 除以 num_one 的结果，并将结果赋给变量 remainder + 6. 计算 num_one 的 num_two 次方并将值赋给变量 exp + 7. 计算 num_one 除以 num_two 商的整数部分（整除操作），并将结果赋给变量 floor_division +1. 圆的半径为 30 米。 + 1. 计算圆的面积并将值赋给名为 _area_of_circle_ 的变量 + 2. 计算圆的周长并将值赋给名为 _circum_of_circle_ 的变量 + 3. 将半径作为用户输入并计算面积。 +1. 使用内置输入函数从用户那里获取名字、姓氏、国家和年龄，并将值存储到相应的变量名中 +1. 在 Python shell 或文件中运行 help('keywords') 检查 Python 保留字或关键字 + + + +🎉 恭喜 ! 🎉 + +[<< 第一天](./readme.md) | [第三天 >>](./03_operators.md) diff --git a/Chinese/03_operators.md b/Chinese/03_operators.md new file mode 100644 index 000000000..85abc9a02 --- /dev/null +++ b/Chinese/03_operators.md @@ -0,0 +1,321 @@ +
    +

    30 天 Python：第三天 - 运算符

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     +
    + +[<< 第二天](./02_variables_builtin_functions.md) | [第四天 >>](./04_strings.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +阅读大约需要：12m +- [📘 第三天](#-第三天) + - [Boolean](#boolean) + - [运算符](#运算符) + - [赋值运算符](#赋值运算符) + - [算术运算符](#算术运算符) + - [比较运算符](#比较运算符) + - [逻辑运算符](#逻辑运算符) + - [💻 练习 - 第三天](#-练习---第三天) + +# 📘 第三天 + +## Boolean + +布尔类型表示两个值之一：_True_ 或 _False_。一旦我们开始使用比较运算符，这些数据类型的使用将变得清晰。第一个字母 **T** 表示 True，**F** 表示 False，与 JavaScript 不同，Python 的布尔类型的首字母应该是大写。 + +**示例: 布尔类型的值** + +```py +print(True) +print(False) +``` + +## 运算符 + +Python 语言支持多种类型的运算符。在本节中，我们将重点介绍其中的一些。 + +### 赋值运算符 + +赋值运算符用于将值赋值给变量。让我们以 = 为例。在数学中，等号表示两个值相等，但在 Python 中，它表示我们正在将一个值存储在某个变量中，我们称之为赋值或将值分配给变量。下表显示了不同类型的 Python 赋值运算符，摘自 [w3school](https://www.w3schools.com/python/python_operators.asp)。 + +![Assignment Operators](../images/assignment_operators.png) + +### 算术运算符： + +- 加(+)： a + b +- 减(-)： a - b +- 乘(*)： a * b +- 除(/)： a / b +- 模运算(%)： a % b +- 整除(//)： a // b +- 指数运算(**)： a ** b + +![Arithmetic Operators](../images/arithmetic_operators.png) + +**示例：整型** + +```py +# Python 中的算术运算符 +# 整型 + +print('Addition: ', 1 + 2) # 3 +print('Subtraction: ', 2 - 1) # 1 +print('Multiplication: ', 2 * 3) # 6 +print ('Division: ', 4 / 2) # 2.0 Python 中的除法运算符返回浮点数 +print('Division: ', 6 / 2) # 3.0 +print('Division: ', 7 / 2) # 3.5 +print('Division without the remainder: ', 7 // 2) # 3, 返回商的整数部分 +print ('Division without the remainder: ',7 // 3) # 2 +print('Modulus: ', 3 % 2) # 1, 返回余数 +print('Exponentiation: ', 2 ** 3) # 8 代表 2 * 2 * 2 +``` + +**示例：浮点数** + +```py +# 浮点数 +print('Floating Point Number, PI', 3.14) +print('Floating Point Number, gravity', 9.81) +``` + +**示例：复数** + +```py +# 复数 +print('Complex number: ', 1 + 1j) +print('Multiplying complex numbers: ',(1 + 1j) * (1 - 1j)) +``` + +让我们声明一个变量并分配一个数字类型。我下面使用单个字符变量，但请不要养成这样命名变量的习惯。变量名应始终便于记忆。 + +**示例：** + +```python +# 首先声明变量 + +a = 3 # a 是一个变量名，3 是一个整型值 +b = 2 # b 是一个变量名，2 是一个整型值 + +# 进行算术运算，并将结果赋值给变量 +total = a + b +diff = a - b +product = a * b +division = a / b +remainder = a % b +floor_division = a // b +exponential = a ** b + +# 应该使用 sum 而不是 total，但 sum 是一个内置函数 - 尽量避免覆盖内置函数 +print(total) # 如果不打印标签字符串，就不知道值是怎么计算出来的 +print('a + b = ', total) +print('a - b = ', diff) +print('a * b = ', product) +print('a / b = ', division) +print('a % b = ', remainder) +print('a // b = ', floor_division) +print('a ** b = ', exponentiation) +``` + +**示例：** + +```py +print('== Addition, Subtraction, Multiplication, Division, Modulus ==') + +# 声明变量，并把声明语句放在一起 +num_one = 3 +num_two = 4 + +# 算术运算 +total = num_one + num_two +diff = num_two - num_one +product = num_one * num_two +div = num_two / num_one +remainder = num_two % num_one + +# 使用标签打印值 +print('total: ', total) +print('difference: ', diff) +print('product: ', product) +print('division: ', div) +print('remainder: ', remainder) +``` + +让我们开始使用小数点并开始利用我们已经知道的知识来计算（面积、体积、密度、重量、周长、距离、力）。 + +**示例：** + +```py +# 计算圆的面积 +radius = 10 # 圆的半径 +area_of_circle = 3.14 * radius ** 2 # 两个 * 符号表示指数或幂 +print('Area of a circle:', area_of_circle) + +# 计算矩形面积 +length = 10 +width = 20 +area_of_rectangle = length * width +print('Area of rectangle:', area_of_rectangle) + +# 计算物体重量 +mass = 75 +gravity = 9.81 +weight = mass * gravity +print(weight, 'N') # 为重量添加单位 + +# 计算液体密度 +mass = 75 # 单位是 Kg +volume = 0.075 # 单位是 m³ +density = mass / volume # 1000 Kg/m³ + +``` + +### 比较运算符 + +在编程中，我们使用比较运算符来比较两个值。我们检查一个值是否大于或小于或等于另一个值。下表显示了 Python 比较运算符，摘自 [w3shool](https://www.w3schools.com/python/python_operators.asp)。 + +![Comparison Operators](../images/comparison_operators.png) +**示例：比较运算符** + +```py +print(3 > 2) # True, 因为3大于2 +print(3 >= 2) # True, 因为3大于2 +print(3 < 2) # False, 因为3大于2 +print(2 < 3) # True, 因为2小于3 +print(2 <= 3) # True, 因为2小于3 +print(3 == 2) # False, 因为3不等于2 +print(3 != 2) # True, 因为3不等于2 +print(len('mango') == len('avocado')) # False +print(len('mango') != len('avocado')) # True +print(len('mango') < len('avocado')) # True +print(len('milk') != len('meat')) # False +print(len('milk') == len('meat')) # True +print(len('tomato') == len('potato')) # True +print(len('python') > len('dragon')) # False + + +# 比较得到 True 或者 False + +print('True == True: ', True == True) +print('True == False: ', True == False) +print('False == False:', False == False) +``` + +除了上述比较运算符之外，Python 还使用： + +- _is_: 如果变量相等，返回 True(x is y) +- _is not_: 如果变量不相等，返回 True(x is not y) +- _in_: 如果列表包含某变量，返回 True(x in y) +- _not in_: 如果列表不包含某变量(x in y) + +```py +print('1 is 1', 1 is 1) # True - 因为值相等 +print('1 is not 2', 1 is not 2) # True - 因为值不相等 +print('A in Asabeneh', 'A' in 'Asabeneh') # True - 字符串中含有元素 A +print('B in Asabeneh', 'B' in 'Asabeneh') # False - 没有大写字母 B +print('coding' in 'coding for all') # True - 因为 coding 都在 'coding for all' 中 +print('a in an:', 'a' in 'an') # True +print('4 is 2 ** 2:', 4 is 2 ** 2) # True +``` + +### 逻辑运算符 + +不像其他的编程语言，Python 使用关键字 _and_、_or_ 和 _not_ 作为逻辑运算符。逻辑运算符用于组合条件语句： + +![Logical Operators](../images/logical_operators.png) + +```py +print(3 > 2 and 4 > 3) # True - 因为两个语句都是 True +print(3 > 2 and 4 < 3) # False - 因为其中一个语句是 False +print(3 < 2 and 4 < 3) # False - 因为两个语句都是 False +print('True and True: ', True and True) +print(3 > 2 or 4 > 3) # True - 因为两个语句都是 True +print(3 > 2 or 4 < 3) # True - 因为其中一个语句是 True +print(3 < 2 or 4 < 3) # False - 因为两个语句都是 False +print('True or False:', True or False) +print(not 3 > 2) # False - 因为 3 > 2 是 True, not True 得到 False +print(not True) # False - not 运算符把 True 改为 False +print(not False) # True +print(not not True) # True +print(not not False) # False + +``` + +🌕 精力充沛！你刚刚完成了第 3 天的挑战，在通往伟大的道路上又前进了三步。现在做一些练习来锻练你的大脑和肌肉。 + + +## 💻 练习 - 第三天 + +1. 声明一个值是你年龄的整型变量 +2. 声明一个值是你身高的浮点型变量 +3. 声明一个值是复数变量 +4. 编写一个脚本，提示用户输入三角形的底和高，并计算这个三角形的面积（面积 = 0.5 x b x h）。 + +```py + 输入底: 20 + 输入高: 10 + 三角形的面积是 100 +``` + +5. 编写一个脚本，提示用户输入三角形的边 a、边 b 和边 c。计算三角形的周长（周长 = a + b + c）。 + +```py + 输入边 a: 5 + 输入边 b: 4 + 输入边 c: 3 + 三角形的周长是 12 +``` +6. 提示用户输入矩形的长度和宽度。计算其面积（面积 = 长 x 宽）和周长（周长 = 2 x (长 + 宽)） +7. 提示用户输入圆的半径。计算面积（面积 = pi x r x r）和周长（周长 = 2 x pi x r），其中 pi = 3.14。 +8. 计算 y = 2x -2 的斜率、x 截距和 y 截距 +9. 斜率是 (m = y2-y1/x2-x1)。找到点 (2, 2) 和点 (6,10) 之间的斜率和[欧几里得距离](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance.)。 +10. 比较练习 8 和练习 9 中的斜率。 +11. 计算 y 的值（y = x^2 + 6x + 9）。尝试使用不同的 x 值，并找出 y 何时为 0。 +12. 求出 'python' 和 'dragon' 的长度，并进行一个假的比较语句。 +13. 使用 _and_ 运算符检查 'python' 和 'dragon' 中是否都有 'on'。 +14. _I hope this course is not full of jargon_。使用 _in_ 运算符检查句子中是否有 _jargon_。 +15. 'dragon' 和 'python' 中都没有 'on'。 +16. 找到文本 _python_ 的长度，并将该值转换为浮点数，然后将其转换为字符串。 +17. 偶数可以被 2 整除，余数为零。如何使用 Python 检查一个数字是偶数还是奇数？ +18. 检查 7 除以 3 的Floor除法是否等于 2.7 的整数转换值。 +19. 检查 '10' 的类型是否等于 10 的类型。 +20. 检查 int('9.8') 是否等于 10。 +21. 编写一个脚本，提示用户输入工时和时薪。计算用户的工资。 + +```py +输入工时: 40 +输入时薪: 28 +你每周的薪资是 1120 +``` + + +22. 编写一个脚本，提示用户输入年数。计算一个人可以活多少秒。假设一个人可以活一百年 + +```py +输入你已经活了多少年: 100 +你已经活了 3153600000 秒. +``` + +23. 编写一个 Python 脚本，显示以下表格 + + +```py +1 1 1 1 1 +2 1 2 4 8 +3 1 3 9 27 +4 1 4 16 64 +5 1 5 25 125 +``` + +🎉 恭喜 ! 🎉 + +[<< 第二天](./02_variables_builtin_functions.md) | [第四天 >>](./04_strings.md) diff --git a/Chinese/04_strings.md b/Chinese/04_strings.md new file mode 100644 index 000000000..4cae27963 --- /dev/null +++ b/Chinese/04_strings.md @@ -0,0 +1,609 @@ +
    +

    30 天 Python：第四天 - Strings

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     + +
    + +[<< 第三天](./03_operators.md) | [第五天 >>](./05_lists.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +阅读大约需要：20m + +- [第四天](#第四天) + - [字符串](#字符串) + - [创建字符串](#创建字符串) + - [字符串串联](#字符串串联) + - [字符串中的转译序列](#字符串中的转译序列) + - [字符串格式化](#字符串格式化) + - [传统风格字符串格式化 (% 操作符)](#传统风格字符串格式化--操作符) + - [新式字符串格式化 (str.format)](#新式字符串格式化-strformat) + - [字符串插值 / f-Strings (Python 3.6+)](#字符串插值--f-strings-python-36) + - [Python 字符串是字符序列](#python-字符串是字符序列) + - [拆解字符](#拆解字符) + - [通过索引获取字符串中的字符](#通过索引获取字符串中的字符) + - [字符串切片](#字符串切片) + - [字符串反转](#字符串反转) + - [切片时跳过字符](#切片时跳过字符) + - [字符串方法](#字符串方法) + - [💻 练习 - 第四天](#-练习---第四天) + +# 第四天 + +## 字符串 + +文本是一种字符串数据类型。任何以文本形式书写的数据类型都是字符串。任何用单引号、双引号或三引号括起来的数据都是字符串。有很多方法和内置函数来处理字符串类型的数据。使用 len() 方法获取字符串的长度。 + +### 创建字符串 + +```py +letter = 'P' # 字符串可以是一个字符，也可以是一堆文字 +print(letter) # P +print(len(letter)) # 1 +greeting = 'Hello, World!' # 字符串使用单引号或双引号构建，"Hello, World!" +print(greeting) # Hello, World! +print(len(greeting)) # 13 +sentence = "I hope you are enjoying 30 days of Python Challenge" +print(sentence) +``` + +多行字符串使用三个单引号 (''') 或者三个双引号 (""") 创建。 以下为示例： + +```py +multiline_string = '''I am a teacher and enjoy teaching. +I didn't find anything as rewarding as empowering people. +That is why I created 30 days of python.''' +print(multiline_string) + +# 换种方式 +multiline_string = """I am a teacher and enjoy teaching. +I didn't find anything as rewarding as empowering people. +That is why I created 30 days of python.""" +print(multiline_string) +``` + +### 字符串串联 + +我们可以将字符串连接在一起。合并或连接字符串称为串联。请看下面的示例： + +```py + +first_name = 'Asabeneh' +last_name = 'Yetayeh' +space = ' ' +full_name = first_name + space + last_name +print(full_name) # Asabeneh Yetayeh +# 使用 len() 内置函数获取字符串的长度 +print(len(first_name)) # 8 +print(len(last_name)) # 7 +print(len(first_name) > len(last_name)) # True +print(len(full_name)) # 16 +``` + +### 字符串中的转译序列 + +在 Python 和其他编程语言中，\ 后跟一个字符是转义序列。以下是一些常见的转义序列： + +- \n: 换行 +- \t: 制表符(4个空格) +- \\\\: 反斜杠 +- \\': 单引号 +- \\": 双引号 + +现在，让我们看看上面的转义序列的用法和示例。 + +```py +print('I hope everyone is enjoying the Python Challenge.\nAre you ?') # 换行 +print('Days\tTopics\tExercises') # 增加一个制表符 +print('Day 1\t5\t5') +print('Day 2\t6\t20') +print('Day 3\t5\t23') +print('Day 4\t1\t35') +print('This is a backslash symbol (\\)') # 输出反斜杠 +print('In every programming language it starts with \"Hello, World!\"') # 在单引号里写双引号 + +# 输出 +I hope every one is enjoying the Python Challenge. +Are you ? +Days Topics Exercises +Day 1 5 5 +Day 2 6 20 +Day 3 5 23 +Day 4 1 35 +This is a backslash symbol (\) +In every programming language it starts with "Hello, World!" +``` + +### 字符串格式化 + +#### 传统风格字符串格式化 (% 操作符) + + +在 Python 中有许多格式化字符串的方法。本节，我们将介绍其中一些方法。 +“%”运算符用于格式化包含在“元组”（固定大小列表）中的一组变量，以及格式字符串，其中包含普通文本以及“参数说明符”、特殊符号如“%s”、“%d”、“%f”、“%.数字f”。 + +- %s - 字符串 (或者任何可以用字符串表述的对象，例如数字) +- %d - 整型 +- %f - 浮点型 +- "%.小数位数f" - 固定精度的浮点数 + +```py +# 仅字符串 +first_name = 'Asabeneh' +last_name = 'Yetayeh' +language = 'Python' +formated_string = 'I am %s %s. I teach %s' %(first_name, last_name, language) +print(formated_string) + +# 字符串和数字 +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +formated_string = 'The area of circle with a radius %d is %.2f.' %(radius, area) # 2 表示小数点后的 2 位有效数字 + +python_libraries = ['Django', 'Flask', 'NumPy', 'Matplotlib','Pandas'] +formated_string = 'The following are python libraries:%s' % (python_libraries) +print(formated_string) # 输出 "The following are python libraries:['Django', 'Flask', 'NumPy', 'Matplotlib','Pandas']" +``` + +#### 新式字符串格式化 (str.format) + +这种格式化方式是在 Python 3 中引入的。 + +```py + +first_name = 'Asabeneh' +last_name = 'Yetayeh' +language = 'Python' +formated_string = 'I am {} {}. I teach {}'.format(first_name, last_name, language) +print(formated_string) +a = 4 +b = 3 + +print('{} + {} = {}'.format(a, b, a + b)) +print('{} - {} = {}'.format(a, b, a - b)) +print('{} * {} = {}'.format(a, b, a * b)) +print('{} / {} = {:.2f}'.format(a, b, a / b)) # 限制保留两位小数 +print('{} % {} = {}'.format(a, b, a % b)) +print('{} // {} = {}'.format(a, b, a // b)) +print('{} ** {} = {}'.format(a, b, a ** b)) + +# 输出 +4 + 3 = 7 +4 - 3 = 1 +4 * 3 = 12 +4 / 3 = 1.33 +4 % 3 = 1 +4 // 3 = 1 +4 ** 3 = 64 + +# 字符串和数字 +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +formated_string = 'The area of a circle with a radius {} is {:.2f}.'.format(radius, area) # 保留两位小数 +print(formated_string) + +``` + +#### 字符串插值 / f-Strings (Python 3.6+) + +另一种新的字符串格式化是字符串插值，f-strings。字符串以 f 开头，我们可以在相应的位置注入数据。 + +```py +a = 4 +b = 3 +print(f'{a} + {b} = {a +b}') +print(f'{a} - {b} = {a - b}') +print(f'{a} * {b} = {a * b}') +print(f'{a} / {b} = {a / b:.2f}') +print(f'{a} % {b} = {a % b}') +print(f'{a} // {b} = {a // b}') +print(f'{a} ** {b} = {a ** b}') +``` + +### Python 字符串是字符序列 + +Python 字符串是字符序列，与其他 Python 有序对象 - 列表和元组 - 共享基本访问方法。从字符串中提取单个字符的最简单方法（以及从任何序列中提取单个成员的方法）是将它们解压缩到相应的变量中。 + +#### 拆解字符 + +``` +language = 'Python' +a,b,c,d,e,f = language # 拆解字符串中的字符并赋值给变量 +print(a) # P +print(b) # y +print(c) # t +print(d) # h +print(e) # o +print(f) # n +``` + +#### 通过索引获取字符串中的字符 + +在编程中，计数从零开始。因此，字符串的第一个字母位于零索引处，字符串的最后一个字母位于字符串长度减一处。 + +![String index](../images/string_index.png) + +```py +language = 'Python' +first_letter = language[0] +print(first_letter) # P +second_letter = language[1] +print(second_letter) # y +last_index = len(language) - 1 +last_letter = language[last_index] +print(last_letter) # n +``` + +如果我们想从右边开始，我们可以使用负索引。-1 是最后一个索引。 + +```py +language = 'Python' +last_letter = language[-1] +print(last_letter) # n +second_last = language[-2] +print(second_last) # o +``` + +#### 字符串切片 + +在 Python 中，我们可以将字符串切片为子字符串。 + +```py +language = 'Python' +first_three = language[0:3] # 从零索引开始，直到 3 但不包括 3 +print(first_three) #Pyt +last_three = language[3:6] +print(last_three) # hon +# 另一种方式 +last_three = language[-3:] +print(last_three) # hon +last_three = language[3:] +print(last_three) # hon +``` + +#### 字符串反转 + +我们可以轻松地反转字符串。 + +```py +greeting = 'Hello, World!' +print(greeting[::-1]) # !dlroW ,olleH +``` + +#### 切片时跳过字符 + +通过将步长参数传递给切片方法，可以在切片时跳过字符。 + + +```py +language = 'Python' +pto = language[0:6:2] # +print(pto) # Pto +``` + +### 字符串方法 + +有许多字符串方法可以让我们格式化字符串。在下面的示例中，我们使用其中一些： + +- capitalize(): 将字符串中的第一个字符转换为大写字母 + +```py +challenge = 'thirty days of python' +print(challenge.capitalize()) # 'Thirty days of python' +``` + +- count(): 返回字符串中子字符串的出现次数，count(子字符串，start=..，end=..)。start 是计数的起始索引，end 是计数的最后一个索引。 + +```py +challenge = 'thirty days of python' +print(challenge.count('y')) # 3 +print(challenge.count('y', 7, 14)) # 1, +print(challenge.count('th')) # 2` +``` + +- endswith(): 判断字符串是否以特定的子字符串结尾，返回 True 或 False + +```py +challenge = 'thirty days of python' +print(challenge.endswith('on')) # True +print(challenge.endswith('tion')) # False +``` + +- expandtabs(): 用空格替换制表符，默认制表符大小为 8。它接受制表符大小参数 + +```py +challenge = 'thirty\tdays\tof\tpython' +print(challenge.expandtabs()) # 'thirty days of python' +print(challenge.expandtabs(10)) # 'thirty days of python' +``` + +- find(): 返回子字符串第一次出现的索引，如果未找到则返回 -1 + +```py +challenge = 'thirty days of python' +print(challenge.find('y')) # 5 +print(challenge.find('th')) # 0 +``` + +- rfind(): 返回子字符串最后一次出现的索引，如果未找到则返回 -1 + +```py +challenge = 'thirty days of python' +print(challenge.rfind('y')) # 16 +print(challenge.rfind('th')) # 17 +``` + +- format(): 将字符串格式化为更美观的输出 +有关字符串格式化的更多信息，请查看此[链接](https://www.programiz.com/python-programming/methods/string/format) + +```py +first_name = 'Asabeneh' +last_name = 'Yetayeh' +age = 250 +job = 'teacher' +country = 'Finland' +sentence = 'I am {} {}. I am a {}. I am {} years old. I live in {}.'.format(first_name, last_name, age, job, country) +print(sentence) # I am Asabeneh Yetayeh. I am 250 years old. I am a teacher. I live in Finland. + +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +result = 'The area of a circle with radius {} is {}'.format(str(radius), str(area)) +print(result) # The area of a circle with radius 10 is 314 +``` + +- index(): 返回子字符串的最小索引，附加参数表示起始和结束索引（默认为 0，字符串长度为 - 1）。如果未找到子字符串，则会引发 valueError。 + +```py +challenge = 'thirty days of python' +sub_string = 'da' +print(challenge.index(sub_string)) # 7 +print(challenge.index(sub_string, 9)) # error +``` + +- rindex(): 返回子字符串的最大索引，附加参数表示起始和结束索引（默认为 0，字符串长度为 - 1）。 + +```py +challenge = 'thirty days of python' +sub_string = 'da' +print(challenge.rindex(sub_string)) # 8 +print(challenge.rindex(sub_string, 9)) # error +``` + +- isalnum(): 判断字符串字符是否都是字母数字字符 + +```py +challenge = 'ThirtyDaysPython' +print(challenge.isalnum()) # True + +challenge = '30DaysPython' +print(challenge.isalnum()) # True + +challenge = 'thirty days of python' +print(challenge.isalnum()) # False, 空格不是字母字符 + +challenge = 'thirty days of python 2019' +print(challenge.isalnum()) # False +``` + +- isalpha(): 判断字符串字符是否都是字母字符 (a-z and A-Z) + +```py +challenge = 'thirty days of python' +print(challenge.isalpha()) # False, 空格不是字母字符 +challenge = 'ThirtyDaysPython' +print(challenge.isalpha()) # True +num = '123' +print(num.isalpha()) # False +``` + +- isdecimal(): 判断符串中的所有字符是否都是十进制 (0-9) + +```py +challenge = 'thirty days of python' +print(challenge.isdecimal()) # False +challenge = '123' +print(challenge.isdecimal()) # True +challenge = '\u00B2' +print(challenge.isdigit()) # False +challenge = '12 3' +print(challenge.isdecimal()) # False, 含有空格 +``` + +- isdigit(): 判断字符串中的所有字符是否都是数字（0-9 和一些其他表示数字的 Unicode 字符） + +```py +challenge = 'Thirty' +print(challenge.isdigit()) # False +challenge = '30' +print(challenge.isdigit()) # True +challenge = '\u00B2' +print(challenge.isdigit()) # True +``` + +- isnumeric(): 判断字符串中的所有字符是否都是数字或与数字相关（就像 isdigit()，只是接受更多符号，如 ½） + +```py +num = '10' +print(num.isnumeric()) # True +num = '\u00BD' # ½ +print(num.isnumeric()) # True +num = '10.5' +print(num.isnumeric()) # False +``` + +- isidentifier(): 判断有效的标识符 - 检查字符串是否是有效的变量名 + +```py +challenge = '30DaysOfPython' +print(challenge.isidentifier()) # False, 因为以数字开头 +challenge = 'thirty_days_of_python' +print(challenge.isidentifier()) # True +``` + +- islower(): 判断字符串中的所有字母是否都是小写 + +```py +challenge = 'thirty days of python' +print(challenge.islower()) # True +challenge = 'Thirty days of python' +print(challenge.islower()) # False +``` + +- isupper(): 判断字符串中的所有字母是否都是大写 + +```py +challenge = 'thirty days of python' +print(challenge.isupper()) # False +challenge = 'THIRTY DAYS OF PYTHON' +print(challenge.isupper()) # True +``` + +- join(): 返回连接后的字符串 + +```py +web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] +result = ' '.join(web_tech) +print(result) # 'HTML CSS JavaScript React' +``` + +```py +web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] +result = '# '.join(web_tech) +print(result) # 'HTML# CSS# JavaScript# React' +``` + +- strip(): 删除字符串开头和结尾的所有给定字符 + +```py +challenge = 'thirty days of pythoonnn' +print(challenge.strip('noth')) # 'irty days of py' +``` + +- replace(): 用给定的字符串替换子字符串 + +```py +challenge = 'thirty days of python' +print(challenge.replace('python', 'coding')) # 'thirty days of coding' +``` + +- split(): 使用给定的字符串或空格作为分隔符来拆分字符串 + +```py +challenge = 'thirty days of python' +print(challenge.split()) # ['thirty', 'days', 'of', 'python'] +challenge = 'thirty, days, of, python' +print(challenge.split(', ')) # ['thirty', 'days', 'of', 'python'] +``` + +- title(): 返回标题大小写的字符串 + +```py +challenge = 'thirty days of python' +print(challenge.title()) # Thirty Days Of Python +``` + +- swapcase(): 将所有大写字符转换为小写字符，将所有小写字符转换为大写字符 + +```py +challenge = 'thirty days of python' +print(challenge.swapcase()) # THIRTY DAYS OF PYTHON +challenge = 'Thirty Days Of Python' +print(challenge.swapcase()) # tHIRTY dAYS oF pYTHON +``` + +- startswith(): 判断字符串是否以指定字符串开头 + +```py +challenge = 'thirty days of python' +print(challenge.startswith('thirty')) # True + +challenge = '30 days of python' +print(challenge.startswith('thirty')) # False +``` + +🌕 你是一个非凡的人，你拥有非凡的潜力。你刚刚完成了第 4 天的挑战，你在成为伟人的路上已经迈出四步。现在做一些练习来锻练你的大脑和肌肉。 + +## 💻 练习 - 第四天 + +1. 将字符串 'Thirty', 'Days', 'Of', 'Python' 连接为一个字符串 'Thirty Days Of Python'。 +2. 将字符串 'Coding', 'For', 'All' 连接为一个字符串 'Coding For All'。 +3. 声明一个名为 company 的变量，并将其赋值为初始值 "Coding For All"。 +4. 使用 _print()_ 打印变量 company。 +5. 使用 _len()_ 方法和 _print()_ 打印 company 字符串的长度。 +6. 使用 _upper()_ 方法将所有字符更改为大写字母。 +7. 使用 _lower()_ 方法将所有字符更改为小写字母。 +8. 使用 _capitalize()_、_title()_ 和 _swapcase()_ 方法格式化字符串 _Coding For All_。 +9. 切片出 _Coding For All_ 字符串的第一个单词。 +10. 使用 index、find 或其他方法检查 _Coding For All_ 字符串是否包含单词 Coding。 +11. 将字符串 'Coding For All' 中的单词 coding 替换为 Python。 +12. 使用 replace 方法或其他方法将 Python for Everyone 替换为 Python for All。 +13. 使用空格作为分隔符拆分字符串 'Coding For All'。 +14. 在逗号处拆分字符串 'Facebook, Google, Microsoft, Apple, IBM, Oracle, Amazon'。 +15. 字符串 _Coding For All_ 中索引 0 处的字符是什么。 +16. 字符串 _Coding For All_ 的最后一个索引是什么。 +17. 字符串 _Coding For All_ 中索引 10 处的字符是什么。 +18. 为字符串 'Python For Everyone' 创建首字母缩略词或缩写 +19. 为名称 'Coding For All' 创建首字母缩略词或缩写。 +20. 使用索引确定 'Coding For All' 中 C 第一次出现的位置。 +21. 使用索引确定 'Coding For All' 中 F 第一次出现的位置。 +22. 使用 rfind 确定 'Coding For All People' 中 l 最后一次出现的位置。 +23. 使用 index 或 find 查找以下句子中单词 'because' 第一次出现的位置：'You cannot end a sentence with because because because is a conjunction' +24. 使用 rindex 查找以下句子中单词 because 最后一次出现的位置：'You cannot end a sentence with because because because is a conjunction' +25. 删除以下句子中短语 'because because because'：'You cannot end a sentence with because because because is a conjunction' +26. 查找以下句子中单词 'because' 第一次出现的位置：'You cannot end a sentence with because because because is a conjunction' +27. 删除以下句子中短语 'because 因为 because'：'You cannot end a sentence with because because because is a conjunction' +28. '\'Coding For All' 是否以子字符串 _Coding_ 开头？ +29. 'Coding For All' 是否以子字符串 _coding_ 结尾？ +30. '   Coding For All      '  , 删除给定字符串中左右空格。 +31. 当我们使用方法 isidentifier() 时，下列哪一个变量返回 True: + - 30DaysOfPython + - thirty_days_of_python +32. 以下列表包含一些 Python 库的名称：['Django', 'Flask', 'Bottle', 'Pyramid', 'Falcon']。使用空格连接字符串。 +33. 使用换行转义序列分隔以下句子。 + ```py + I am enjoying this challenge. + I just wonder what is next. + ``` +34. 使用制表符转义序列输出以下内容。 + ```py + Name Age Country City + Asabeneh 250 Finland Helsinki + ``` +35. 使用字符串格式化方法输出以下内容: + +```sh +radius = 10 +area = 3.14 * radius ** 2 +The area of a circle with radius 10 is 314 meters square. +``` + +36. 使用字符串格式化方法输出以下内容: + +```sh +8 + 6 = 14 +8 - 6 = 2 +8 * 6 = 48 +8 / 6 = 1.33 +8 % 6 = 2 +8 // 6 = 1 +8 ** 6 = 262144 +``` + +🎉 恭喜 ! 🎉 + +[<< 第三天](./03_operators.md) | [第五天 >>](./05_lists.md) + + diff --git a/Chinese/05_lists.md b/Chinese/05_lists.md new file mode 100644 index 000000000..190d45146 --- /dev/null +++ b/Chinese/05_lists.md @@ -0,0 +1,596 @@ +
    +

    30 天 Python：第五天 - Lists

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     + +
    + +[<< 第四天](./04_strings.md) | [第六天 >>](./06_tuples.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [第五天](#第五天) + - [列表](#列表) + - [如何创建列表](#如何创建列表) + - [使用正索引访问列表项](#使用正索引访问列表项) + - [使用负索引访问列表项](#使用负索引访问列表项) + - [拆解列表项](#拆解列表项) + - [列表切分](#列表切分) + - [修改列表](#修改列表) + - [检索列表项](#检索列表项) + - [添加列表项](#添加列表项) + - [插入列表项](#插入列表项) + - [移除列表项](#移除列表项) + - [使用 Pop 删除列表项](#使用-pop-删除列表项) + - [使用 Del 删除列表项](#使用-del-删除列表项) + - [清空列表项](#清空列表项) + - [列表复制](#列表复制) + - [连接列表](#连接列表) + - [统计列表项](#统计列表项) + - [查找项的索引](#查找项的索引) + - [列表反转](#列表反转) + - [列表排序](#列表排序) + - [💻 练习 - 第五天](#-练习---第五天) + - [练习： 1级](#练习-1级) + - [练习： 2级](#练习-2级) + +# 第五天 + +## 列表 + +Python 中有四种集合数据类型： + +- List：有序且可变的集合。允许重复的成员。 +- Tuple：有序且不可变的集合。允许重复的成员。 +- Set：无序、不可索引且不可变的集合，但我们可以向集合中添加新项。不允许重复的成员。 +- Dictionary：无序、可变且可索引的集合。不允许重复的成员。 + + +列表是不同数据类型的集合，有序且可修改（可变）。列表可以为空，也可以包含不同数据类型的项。 + +### 如何创建列表 + +在 Python 中，我们可以通过两种方式创建列表： + +- 使用内置函数 list() + +```py +# 语法 +lst = list() +``` + +```py +empty_list = list() # 这是一个空列表 +print(len(empty_list)) # 0 +``` +- 使用方括号，[] + +```py +# 语法 +lst = [] +``` + +```py +empty_list = [] # 这是一个空列表 +print(len(empty_list)) # 0 +``` + +具有初始值的列表。我们使用 _len()_ 来检查列表的长度。 + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] # list of fruits +vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] # list of vegetables +animal_products = ['milk', 'meat', 'butter', 'yoghurt'] # list of animal products +web_techs = ['HTML', 'CSS', 'JS', 'React','Redux', 'Node', 'MongDB'] # list of web technologies +countries = ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] + +# 打印列表及其长度 +print('Fruits:', fruits) +print('Number of fruits:', len(fruits)) +print('Vegetables:', vegetables) +print('Number of vegetables:', len(vegetables)) +print('Animal products:',animal_products) +print('Number of animal products:', len(animal_products)) +print('Web technologies:', web_techs) +print('Number of web technologies:', len(web_techs)) +print('Countries:', countries) +print('Number of countries:', len(countries)) +``` + +```sh +输出 +Fruits: ['banana', 'orange', 'mango', 'lemon'] +Number of fruits: 4 +Vegetables: ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +Number of vegetables: 5 +Animal products: ['milk', 'meat', 'butter', 'yoghurt'] +Number of animal products: 4 +Web technologies: ['HTML', 'CSS', 'JS', 'React', 'Redux', 'Node', 'MongDB'] +Number of web technologies: 7 +Countries: ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] +Number of countries: 5 +``` + +- 列表可以包含不同数据类型的项 + +```py + lst = ['Asabeneh', 250, True, {'country':'Finland', 'city':'Helsinki'}] # 包含不同数据类型的列表 +``` + + +### 使用正索引访问列表项 + +我们使用索引访问列表中的每个项。列表索引从 0 开始。下图清楚地显示了索引从哪里开始。 + +![List index](../images/list_index.png) + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +first_fruit = fruits[0] # 我们正在使用其索引访问第一项 +print(first_fruit) # banana +second_fruit = fruits[1] +print(second_fruit) # orange +last_fruit = fruits[3] +print(last_fruit) # lemon +# Last index +last_index = len(fruits) - 1 +last_fruit = fruits[last_index] +``` + +### 使用负索引访问列表项 + +负索引意味着从末尾开始，-1 指的是最后一项，-2 指的是倒数第二项。 + +![List negative indexing](../images/list_negative_indexing.png) + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +first_fruit = fruits[-4] +last_fruit = fruits[-1] +second_last = fruits[-2] +print(first_fruit) # banana +print(last_fruit) # lemon +print(second_last) # mango +``` + +### 拆解列表项 + +```py +lst = ['item1','item2','item3', 'item4', 'item5'] +first_item, second_item, third_item, *rest = lst +print(first_item) # item1 +print(second_item) # item2 +print(third_item) # item3 +print(rest) # ['item4', 'item5'] + +``` + +```py +# 示例一 +fruits = ['banana', 'orange', 'mango', 'lemon','lime','apple'] +first_fruit, second_fruit, third_fruit, *rest = fruits +print(first_fruit) # banana +print(second_fruit) # orange +print(third_fruit) # mango +print(rest) # ['lemon','lime','apple'] +# 示例二 +first, second, third,*rest, tenth = [1,2,3,4,5,6,7,8,9,10] +print(first) # 1 +print(second) # 2 +print(third) # 3 +print(rest) # [4,5,6,7,8,9] +print(tenth) # 10 +# 示例三 +countries = ['Germany', 'France','Belgium','Sweden','Denmark','Finland','Norway','Iceland','Estonia'] +gr, fr, bg, sw, *scandic, es = countries +print(gr) +print(fr) +print(bg) +print(sw) +print(scandic) +print(es) +``` + +### 列表切分 + +- 正索引：我们可以通过指定开始、结束和步长来指定一系列正索引，返回值将是一个新列表。 （开始默认值为 0，结束默认值为 len(lst) - 1（最后一项），步长默认值为 1） + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +all_fruits = fruits[0:4] # 返回所有项 +#与上面返回值相同 +all_fruits = fruits[0:] # 如果不指定结束索引，将返回从开始到最后一项的所有项 +orange_and_mango = fruits[1:3] # 不包含第一项 +orange_mango_lemon = fruits[1:] +orange_and_lemon = fruits[::2] # 我们使用了第三个参数，步长。 每两项取一条 - ['banana', 'mango'] +``` + +- 负索引：我们可以通过指定开始、结束和步长来指定一系列负索引，返回值将是一个新列表。 + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +all_fruits = fruits[-4:] # 返回所有项 +orange_and_mango = fruits[-3:-1] # 不包含最后一项，['orange', 'mango'] +orange_mango_lemon = fruits[-3:] # 返回从-3到末尾的项，['orange', 'mango', 'lemon'] +reverse_fruits = fruits[::-1] # 负步长将按相反顺序排列列表,['lemon', 'mango', 'orange', 'banana'] +``` + +### 修改列表 + +列表是一个可变或可修改的有序集合。下面我们修改 fruit 列表。 + + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits[0] = 'avocado' +print(fruits) # ['avocado', 'orange', 'mango', 'lemon'] +fruits[1] = 'apple' +print(fruits) # ['avocado', 'apple', 'mango', 'lemon'] +last_index = len(fruits) - 1 +fruits[last_index] = 'lime' +print(fruits) # ['avocado', 'apple', 'mango', 'lime'] +``` + +### 检索列表项 + +使用 *in* 运算符检查列表项是否为列表的成员。请参阅下面的示例。 + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +does_exist = 'banana' in fruits +print(does_exist) # True +does_exist = 'lime' in fruits +print(does_exist) # False +``` + +### 添加列表项 + +要将项添加到现有列表的末尾，我们使用 *append()* 方法。 + +```py +# 语法 +lst = list() +lst.append(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.append('apple') +print(fruits) # ['banana', 'orange', 'mango', 'lemon', 'apple'] +fruits.append('lime') # ['banana', 'orange', 'mango', 'lemon', 'apple', 'lime'] +print(fruits) +``` + +### 插入列表项 + +我们可以使用 *insert()* 方法在列表中的指定索引处插入单个项。请注意，其他项将向右移动。*insert()* 方法接受两个参数：索引和要插入的项。 + + +```py +# 语法 +lst = ['item1', 'item2'] +lst.insert(index, item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.insert(2, 'apple') # 在 orange 。 mango 中插入 apple +print(fruits) # ['banana', 'orange', 'apple', 'mango', 'lemon'] +fruits.insert(3, 'lime') # ['banana', 'orange', 'apple', 'lime', 'mango', 'lemon'] +print(fruits) +``` + +### 移除列表项 + +- 使用 *remove()* 方法从列表中删除指定的项 + +```py +# 语法 +lst = ['item1', 'item2'] +lst.remove(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon', 'banana'] +fruits.remove('banana') +print(fruits) # ['orange', 'mango', 'lemon', 'banana'] - 此方法删除列表中第一次出现的项 +fruits.remove('lemon') +print(fruits) # ['orange', 'mango', 'banana'] +``` + +### 使用 Pop 删除列表项 + +使用 *pop()* 方法删除指定索引（如果未指定索引，则删除最后一项）： + +```py +# 语法 +lst = ['item1', 'item2'] +lst.pop() # 最后一项 +lst.pop(index) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.pop() +print(fruits) # ['banana', 'orange', 'mango'] + +fruits.pop(0) +print(fruits) # ['orange', 'mango'] +``` + +### 使用 Del 删除列表项 + +使用 *del* 关键字删除指定索引，也可以用于删除索引范围内的项。它还可以完全删除列表 + + +```py +# 语法 +lst = ['item1', 'item2'] +del lst[index] # 只删除一项 +del lst # 删除整个列表 +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon', 'kiwi', 'lime'] +del fruits[0] +print(fruits) # ['orange', 'mango', 'lemon', 'kiwi', 'lime'] +del fruits[1] +print(fruits) # ['orange', 'lemon', 'kiwi', 'lime'] +del fruits[1:3] # 这将删除给定索引之间的项，因此不会删除索引为 3 的项! +print(fruits) # ['orange', 'lime'] +del fruits +print(fruits) # 这里会提示: NameError: name 'fruits' is not defined +``` + +### 清空列表项 + +使用 *clear()* 方法清空列表： + +```py +# 语法 +lst = ['item1', 'item2'] +lst.clear() +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.clear() +print(fruits) # [] +``` + +### 列表复制 + +可以通过将其重新分配给新变量来复制列表: list2 = list1。现在，list2 是 list1 的引用，我们对 list2 进行的任何更改也将修改原始的 list1。但是有很多时候我们不想修改原始的列表，而是想要一个不同的副本。为了避免这个问题，我们使用 *copy()*。 + +```py +# 语法 +lst = ['item1', 'item2'] +lst_copy = lst.copy() +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits_copy = fruits.copy() +print(fruits_copy) # ['banana', 'orange', 'mango', 'lemon'] +``` + +### 连接列表 + +有几种方法可以连接或连接两个或多个列表。 + +- 加号 (+) + +```py +# 语法 +list3 = list1 + list2 +``` + +```py +positive_numbers = [1, 2, 3, 4, 5] +zero = [0] +negative_numbers = [-5,-4,-3,-2,-1] +integers = negative_numbers + zero + positive_numbers +print(integers) # [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] +fruits = ['banana', 'orange', 'mango', 'lemon'] +vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +fruits_and_vegetables = fruits + vegetables +print(fruits_and_vegetables ) # ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +``` + +- 使用 *extend()* 方法 +*extend()* 方法可以将列表附加到列表中。请参阅下面的示例。 + +```py +# 语法 +list1 = ['item1', 'item2'] +list2 = ['item3', 'item4', 'item5'] +list1.extend(list2) +``` + +```py +num1 = [0, 1, 2, 3] +num2= [4, 5, 6] +num1.extend(num2) +print('Numbers:', num1) # Numbers: [0, 1, 2, 3, 4, 5, 6] +negative_numbers = [-5,-4,-3,-2,-1] +positive_numbers = [1, 2, 3,4,5] +zero = [0] + +negative_numbers.extend(zero) +negative_numbers.extend(positive_numbers) +print('Integers:', negative_numbers) # Integers: [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] +fruits = ['banana', 'orange', 'mango', 'lemon'] +vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +fruits.extend(vegetables) +print('Fruits and vegetables:', fruits ) # Fruits and vegetables: ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +``` + +### 统计列表项 + +使用 *count()* 方法返回列表中指定项出现的次数: + + +```py +# 语法 +lst = ['item1', 'item2'] +lst.count(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +print(fruits.count('orange')) # 1 +ages = [22, 19, 24, 25, 26, 24, 25, 24] +print(ages.count(24)) # 3 +``` + +### 查找项的索引 + +*index()* 方法返回列表中项的索引: + +```py +# 语法 +lst = ['item1', 'item2'] +lst.index(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +print(fruits.index('orange')) # 1 +ages = [22, 19, 24, 25, 26, 24, 25, 24] +print(ages.index(24)) # 2， 第一次出现 +``` + +### 列表反转 + +使用 *reverse()* 方法反转列表的顺序。 + +```py +# 语法 +lst = ['item1', 'item2'] +lst.reverse() + +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.reverse() +print(fruits) # ['lemon', 'mango', 'orange', 'banana'] +ages = [22, 19, 24, 25, 26, 24, 25, 24] +ages.reverse() +print(ages) # [24, 25, 24, 26, 25, 24, 19, 22] +``` + +### 列表排序 + +要对列表进行排序，我们可以使用 *sort()* 方法或内置函数 *sorted()*。*sort()* 方法将列表项按升序重新排序并修改原始列表。如果 *sort()* 方法的 reverse 参数为 true，则会按降序排列列表。 + +- sort(): 这个方法会修改原始列表 + + ```py + # 语法 + lst = ['item1', 'item2'] + lst.sort() # ascending + lst.sort(reverse=True) # descending + ``` + + **示例：** + + ```py + fruits = ['banana', 'orange', 'mango', 'lemon'] + fruits.sort() + print(fruits) # 按字母排序， ['banana', 'lemon', 'mango', 'orange'] + fruits.sort(reverse=True) + print(fruits) # ['orange', 'mango', 'lemon', 'banana'] + ages = [22, 19, 24, 25, 26, 24, 25, 24] + ages.sort() + print(ages) # [19, 22, 24, 24, 24, 25, 25, 26] + + ages.sort(reverse=True) + print(ages) # [26, 25, 25, 24, 24, 24, 22, 19] + ``` + + sorted(): 不会修改原始列表，而是返回一个新列表 + + **示例:** + + ```py + fruits = ['banana', 'orange', 'mango', 'lemon'] + print(sorted(fruits)) # ['banana', 'lemon', 'mango', 'orange'] + # Reverse order + fruits = ['banana', 'orange', 'mango', 'lemon'] + fruits = sorted(fruits,reverse=True) + print(fruits) # ['orange', 'mango', 'lemon', 'banana'] + ``` + + + +🌕 你很勤奋，已经取得了很多成就。你刚刚完成了第 5 天的挑战，并且已经朝着伟大的目标迈出了 5 步。现在做一些练习来锻练你的大脑和肌肉。 + +## 💻 练习 - 第五天 + +### 练习： 1级 + +1. 声明一个空列表 +2. 声明一个包含 5 个以上项的列表 +3. 查找列表的长度 +4. 获取列表的第一项、中间项和最后一项 +5. 声明一个名为 mixed_data_types 的列表，包含你的姓名、年龄、身高、婚姻状况和地址 +6. 声明一个名为 it_companies 的列表，并分配初始值 Facebook、Google、Microsoft、Apple、IBM、Oracle 和 Amazon。 +7. 使用 _print()_ 打印列表 +8. 打印列表中的公司数 +9. 打印第一、中间和最后一家公司 +10. 修改其中一家公司的名称后打印列表 +11. 向 it_companies 添加一家 IT 公司 +12. 在公司列表中间插入一家 IT 公司 +13. 将其中一家 it_companies 公司的名称更改为大写（不包括 IBM!） +14. 使用字符串 '#;  ' 连接 it_companies +15. 检查 it_companies 列表中是否存在某个公司。 +16. 使用 sort() 方法对列表进行排序 +17. 使用 reverse() 方法按降序反转列表 +18. 从列表中切分出前 3 家公司 +19. 从列表中切分出最后 3 家公司 +20. 从列表中切分出中间的 IT 公司或公司 +21. 从列表中删除第一家 IT 公司 +22. 从列表中删除中间的 IT 公司或公司 +23. 从列表中删除最后一家 IT 公司 +24. 从列表中删除所有 IT 公司 +25. 销毁 it_companies 列表 +26. 连接以下列表： + + ```py + front_end = ['HTML', 'CSS', 'JS', 'React', 'Redux'] + back_end = ['Node','Express', 'MongoDB'] + ``` +27. 在连接的列表中插入 Python 和 SQL 到变量 full_stack 之后。 + +### 练习： 2级 + +1. 以下是 10 个学生的年龄列表： + +```sh +ages = [19, 22, 19, 24, 20, 25, 26, 24, 25, 24] +``` + +- 对列表进行排序，并找出最大和最小年龄 +- 将最小年龄和最大年龄再次添加到列表中 +- 找到年龄中位数（一个中间项或两个中间项除以二） +- 找到平均年龄（所有项的总和除以它们的数量） +- 找到年龄范围（最大减去最小） +- 比较 (min - average) 和 (max - average) 的值，使用 _abs()_ 方法 + +1. 在 [国家列表](https://github.com/Taki-Ta/30-Days-Of-Python-Simplified_Chinese_Version/tree/master/data/countries.py) 中查找中间的国家 +2. 将国家列表分成两个相等的列表（如果是偶数，如果不是，则第一个半多一个国家） +3. ['China', 'Russia', 'USA', 'Finland', 'Sweden', 'Norway', 'Denmark']。拆解前三个国家和剩下的北欧国家。 + +🎉 恭喜 ! 🎉 + +[<< 第四天](./04_strings.md) | [第六天 >>](./06_tuples.md) diff --git a/Chinese/06_tuples.md b/Chinese/06_tuples.md new file mode 100644 index 000000000..75546c198 --- /dev/null +++ b/Chinese/06_tuples.md @@ -0,0 +1,259 @@ +
    +

    30 天 Python：第六天 - Tuples

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     + +
    + +[<< 第五天](./05_lists.md) | [第七天 >>](./07_sets.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [第六天:](#第六天) + - [元组](#元组) + - [如何创建元组](#如何创建元组) + - [元组长度](#元组长度) + - [获取元组项](#获取元组项) + - [元组切片](#元组切片) + - [将元组更改为列表](#将元组更改为列表) + - [检索元组中的项](#检索元组中的项) + - [连接元组](#连接元组) + - [删除元组](#删除元组) + - [💻 练习 - 第六天](#-练习---第六天) + - [练习： 1级](#练习-1级) + - [练习： 2级](#练习-2级) + +# 第六天: + +## 元组 + +元组是有序且不可变的不同数据类型的集合。一旦创建了元组，我们就无法更改其值。我们不能在元组中使用 add、insert、remove 方法，因为它是不可修改的（不可变的）。与列表不同，元组的方法很少。与元组相关的方法有： + +- tuple()：创建一个空元组 +- count()：计算元组中指定项的数量 +- index()：查找元组中指定项的索引 +- `+` 运算符：连接两个或多个元组并创建一个新元组 + +### 如何创建元组 + +- 创建一个空元组 + + ```py + # 语法 + empty_tuple = () + # 或使用元组构造函数 + empty_tuple = tuple() + ``` + +- 创建一个具有初始值的元组 + + ```py + # 语法 + tpl = ('item1', 'item2','item3') + ``` + + ```py + fruits = ('banana', 'orange', 'mango', 'lemon') + ``` + + +### 元组长度 + +我们使用 _len()_ 方法来获取元组的长度。 + +```py +# 语法 +tpl = ('item1', 'item2', 'item3') +len(tpl) +``` + +### 获取元组项 + + +- 正索引 + 与列表数据类型类似，我们使用正索引或负索引来访问元组项。 + ![Accessing tuple items](../images/tuples_index.png) + + ```py + # 语法 + tpl = ('item1', 'item2', 'item3') + first_item = tpl[0] + second_item = tpl[1] + ``` + + ```py + fruits = ('banana', 'orange', 'mango', 'lemon') + first_fruit = fruits[0] + second_fruit = fruits[1] + last_index =len(fruits) - 1 + last_fruit = fruits[las_index] + ``` + +- 负索引 + 负索引是从末尾开始的，-1 表示最后一项，-2 表示倒数第二项，列表/元组长度的负数表示第一项。 + ![Tuple Negative indexing](../images/tuple_negative_indexing.png) + + ```py + # 语法 + tpl = ('item1', 'item2', 'item3','item4') + first_item = tpl[-4] + second_item = tpl[-3] + ``` + + ```py + fruits = ('banana', 'orange', 'mango', 'lemon') + first_fruit = fruits[-4] + second_fruit = fruits[-3] + last_fruit = fruits[-1] + ``` + +### 元组切片 + +我们可以通过指定开始和结束的索引范围来切出子元组，返回值是一个包含指定项的新元组。 + +- 正索引范围 + + ```py + # 语法 + tpl = ('item1', 'item2', 'item3','item4') + all_items = tpl[0:4] # 所有项 + all_items = tpl[0:] # 所有项 + middle_two_items = tpl[1:3] # 不包括索引 3 的项 + ``` + + ```py + fruits = ('banana', 'orange', 'mango', 'lemon') + all_fruits = fruits[0:4] # 所有项 + all_fruits= fruits[0:] # 所有项 + orange_mango = fruits[1:3] # 不包括索引 3 的项 + orange_to_the_rest = fruits[1:] + ``` + +- 负索引范围 + + ```py + # 语法 + tpl = ('item1', 'item2', 'item3','item4') + all_items = tpl[-4:] # 所有项 + middle_two_items = tpl[-3:-1] # 不包括索引 3 的项 + ``` + + ```py + + fruits = ('banana', 'orange', 'mango', 'lemon') + all_fruits = fruits[-4:] # 所有项 + orange_mango = fruits[-3:-1] # 不包括索引 3 的项 + orange_to_the_rest = fruits[-3:] + ``` + +### 将元组更改为列表 + +我们可以将元组更改为列表，将列表更改为元组。如果我们想修改元组，我们应该将其更改为列表。 + +```py +# 语法 +tpl = ('item1', 'item2', 'item3','item4') +lst = list(tpl) +``` + +```py +fruits = ('banana', 'orange', 'mango', 'lemon') +fruits = list(fruits) +fruits[0] = 'apple' +print(fruits) # ['apple', 'orange', 'mango', 'lemon'] +fruits = tuple(fruits) +print(fruits) # ('apple', 'orange', 'mango', 'lemon') +``` + +### 检索元组中的项 + +我们可以使用 _in_ 检查元组中是否存在某个项，它返回一个布尔值。 + +```py +# 语法 +tpl = ('item1', 'item2', 'item3','item4') +'item2' in tpl # True +``` + +```py +fruits = ('banana', 'orange', 'mango', 'lemon') +print('orange' in fruits) # True +print('apple' in fruits) # False +fruits[0] = 'apple' # TypeError: 'tuple' object does not support item assignment +``` + + + +### 连接元组 + +我们可以使用 + 运算符连接两个或多个元组 + +```py +# 语法 +tpl1 = ('item1', 'item2', 'item3') +tpl2 = ('item4', 'item5','item6') +tpl3 = tpl1 + tpl2 +``` + +```py +fruits = ('banana', 'orange', 'mango', 'lemon') +vegetables = ('Tomato', 'Potato', 'Cabbage','Onion', 'Carrot') +fruits_and_vegetables = fruits + vegetables +``` + +### 删除元组 + +不能删除元组中的单个项，但可以使用 _del_ 删除元组本身。 + +```py +# 语法 +tpl1 = ('item1', 'item2', 'item3') +del tpl1 + +``` + +```py +fruits = ('banana', 'orange', 'mango', 'lemon') +del fruits +``` + + +🌕 你太勇敢了，你做到了。你刚刚完成了第 6 天的挑战，你已向着伟大的目标迈出了 6 步。现在做一些练习来锻练你的大脑和肌肉。 + +## 💻 练习 - 第六天 + +### 练习： 1级 + +1. 创建一个空元组 +1. 创建一个包含你姐妹和兄弟名字的元组（虚构的兄弟姐妹也可以） +1. 连接兄弟姐妹元组并将其分配给 siblings +1. 你有多少兄弟姐妹？ +1. 修改兄弟姐妹元组并添加你父母的名字，然后将其分配给 family_members + +### 练习： 2级 + +1. 从 family_members 中获取兄弟姐妹和父母 +1. 创建 fruits、vegetables 和 animal products 元组。连接三个元组并将其分配给名为 food_stuff_tp 的变量。 +1. 将 food_stuff_tp 元组更改为 food_stuff_lt 列表 +1. 从 food_stuff_tp 元组或 food_stuff_lt 列表中切出中间项或项。 +1. 从 food_staff_lt 列表中切出前三项和最后三项 +1. 完全删除 food_staff_tp 元组 +1. 检查元组中是否存在项： +- 检查 'Estonia' 是否在 nordic_country 元组中 +- 检查 'Iceland' 是否在 nordic_country 元组中 + + ```py + nordic_countries = ('Denmark', 'Finland','Iceland', 'Norway', 'Sweden') + ``` + + +[<< 第五天](./05_lists.md) | [第七天 >>](./07_sets.md) diff --git a/Chinese/07_sets.md b/Chinese/07_sets.md new file mode 100644 index 000000000..540f706b6 --- /dev/null +++ b/Chinese/07_sets.md @@ -0,0 +1,431 @@ +
    +

    30 天 Python：第 7 天 - 集合

    + + + + + Twitter Follow + + +作者： +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     + +
    + +[<< 第 6 天](./06_tuples.md) | [第 8 天 >>](./08_dictionaries.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 7 天](#-第-7-天) + - [集合](#集合) + - [创建集合](#创建集合) + - [获取集合长度](#获取集合长度) + - [访问集合中的项目](#访问集合中的项目) + - [检查项目](#检查项目) + - [向集合中添加项目](#向集合中添加项目) + - [从集合中移除项目](#从集合中移除项目) + - [清空集合中的项目](#清空集合中的项目) + - [删除集合](#删除集合) + - [将列表转换为集合](#将列表转换为集合) + - [合并集合](#合并集合) + - [查找交集项目](#查找交集项目) + - [检查子集和超集](#检查子集和超集) + - [检查两个集合之间的差异](#检查两个集合之间的差异) + - [查找两个集合之间的对称差异](#查找两个集合之间的对称差异) + - [合并集合](#合并集合-1) + - [💻 练习：第 7 天](#-练习-第-7-天) + - [练习：等级 1](#练习-等级-1) + - [练习：等级 2](#练习-等级-2) + - [练习：等级 3](#练习-等级-3) + +# 📘 第 7 天 + +## 集合 + +集合是项目的集合。让我带你回到小学或高中的数学课。集合的数学定义也适用于 Python。集合是无序且未索引的不同元素的集合。在 Python 中，集合用于存储唯一项目，可以在集合之间找到 _并集_、_交集_、_差集_、_对称差集_、_子集_、_超集_ 和 _不相交集_。 + +### 创建集合 + +我们使用 _set()_ 内置函数。 + +- 创建空集合 + +```py +# 语法 +st = set() +``` + +- 创建一个包含初始项目的集合 + +```py +# 语法 +st = {'item1', 'item2', 'item3', 'item4'} +``` + +**示例：** + +```py +# 语法 +fruits = {'banana', 'orange', 'mango', 'lemon'} +``` + +### 获取设置的长度 + +我们使用**len()**方法来查找集合的长度。 + +```py +# 语法 +st = {'item1', 'item2', 'item3', 'item4'} +len(st) +``` + +**示例：** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +len(fruits) +``` + +### 访问集合中的项目 + +我们使用循环来访问项目。我们将在循环部分看到这一点。 + +### 检查项目 + +要检查列表中是否存在某个项目，我们使用 _in_ 成员运算符。 + +```py +# 语法 +st = {'item1', 'item2', 'item3', 'item4'} +print("Does set st contain item3? ", 'item3' in st) # Does set st contain item3? True +``` + +**示例：** + +```py + +fruits = {'香蕉', '橙色', '芒果', '柠檬'} + +print('芒果' in fruits ) # True + +``` + +### 向集合中添加元素 + +一旦集合创建后，我们不能改变其中的任何元素，但可以添加其他的元素。 + +- 使用 _add()_ 方法添加单个元素 + +```py +# 语法 +st = {'item1', 'item2', 'item3', 'item4'} +st.add('item5') +``` + +**示例:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.add('lime') +``` + +- 使用 _update()_ 方法添加多个元素 + _update()_ 方法允许向集合中添加多个元素。_update()_ 接收一个列表作为参数。 + +```py +# 语法 +st = {'item1', 'item2', 'item3', 'item4'} +st.update(['item5','item6','item7']) +``` + +**示例:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = ('tomato', 'potato', 'cabbage','onion', 'carrot') +fruits.update(vegetables) +``` + +### 从集合中移除元素 + +我们可以使用 _remove()_ 方法从集合中移除一个元素。如果找不到该元素，_remove()_ 方法会抛出错误，因此最好先检查该元素是否存在于集合中。_discard()_ 方法则不会抛出任何错误。 + +```py +# 语法 +st = {'item1', 'item2', 'item3', 'item4'} +st.remove('item2') +``` + +_pop()_ 方法从集合中移除一个随机元素并返回该被移除的元素。 + +**示例:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.pop() # 从集合中移除一个随机元素 +``` + +如果我们对被移除的元素感兴趣。 + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +removed_item = fruits.pop() +``` + +### 清空集合中的项目 + +如果我们想要清空或清除集合中的所有项目，可以使用 _clear_ 方法。 + +```py +# 语法 +st = {'item1', 'item2', 'item3', 'item4'} +st.clear() +``` + +**示例:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.clear() +print(fruits) # set() +``` + +### 删除一个集合 + +如果我们想要删除整个集合，可以使用 _del_ 操作符。 + +```py +# 语法 +st = {'item1', 'item2', 'item3', 'item4'} +del st +``` + +**示例:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +del fruits +``` + +### 将列表转换为集合 + +我们可以将列表转换为集合，也可以将集合转换为列表。将列表转换为集合会去除重复项，只保留唯一项。 + +```py +# 语法 +lst = ['item1', 'item2', 'item3', 'item4', 'item1'] +st = set(lst) # {'item2', 'item4', 'item1', 'item3'} - 顺序是随机的，因为集合在一般情况下是无序的 +``` + +**示例:** + +```py +fruits = ['banana', 'orange', 'mango', 'lemon','orange', 'banana'] +fruits = set(fruits) # {'mango', 'lemon', 'banana', 'orange'} +``` + +### 合并集合 + +我们可以使用 _union()_ 或 _update()_ 方法来合并两个集合。 + +- Union + 这个方法返回一个新集合 + +```py +# 语法 +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item5', 'item6', 'item7', 'item8'} +st3 = st1.union(st2) +``` + +**示例:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = {'tomato', 'potato', 'cabbage','onion', 'carrot'} +print(fruits.union(vegetables)) # {'lemon', 'carrot', 'tomato', 'banana', 'mango', 'orange', 'cabbage', 'potato', 'onion'} +``` + +- Update + 这个方法将一个集合插入到给定的集合中 + +```py +# 语法 +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item5', 'item6', 'item7', 'item8'} +st1.update(st2) # st2 的内容被添加到 st1 中 +``` + +**示例:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = {'tomato', 'potato', 'cabbage','onion', 'carrot'} +fruits.update(vegetables) +print(fruits) # {'lemon', 'carrot', 'tomato', 'banana', 'mango', 'orange', 'cabbage', 'potato', 'onion'} +``` + +### 查找交集项 + +交集返回两个集合中都存在的项的集合。请参见示例 + +```py +# 语法 +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item3', 'item2'} +st1.intersection(st2) # {'item3', 'item2'} +``` + +**示例：** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.intersection(even_numbers) # {0, 2, 4, 6, 8, 10} + +python = {'p', 'y', 't', 'h', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.intersection(dragon) # {'o', 'n'} +``` + +### 检查子集和超集 + +一个集合可以是另一个集合的子集或超集： + +- 子集: _issubset()_ +- 超集: _issuperset_ + +```py +# 语法 +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.issubset(st1) # True +st1.issuperset(st2) # True +``` + +**示例：** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.issubset(even_numbers) # 错误，因为它是超集 +whole_numbers.issuperset(even_numbers) # 正确 + +python = {'p', 'y', 't', 'h', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.issubset(dragon) # 错误 +``` + +### 检查两个集合之间的差异 + +它返回两个集合之间的差异。 + +```py +# 语法 +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.difference(st1) # set() +st1.difference(st2) # {'item1', 'item4'} => st1\st2 +``` + +**示例：** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.difference(even_numbers) # {1, 3, 5, 7, 9} + +python = {'p', 'y', 't', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.difference(dragon) # {'p', 'y', 't'} - 结果是无序的（集合的特性） +dragon.difference(python) # {'d', 'r', 'a', 'g'} +``` + +### 查找两个集合之间的对称差异 + +它返回两个集合之间的对称差异。它意味着它返回一个包含两个集合中所有项的集合，除了同时出现在两个集合中的项，数学上：(A\B) ∪ (B\A) + +```py +# 语法 +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +# 意思是 (A\B)∪(B\A) +st2.symmetric_difference(st1) # {'item1', 'item4'} +``` + +**示例：** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +some_numbers = {1, 2, 3, 4, 5} +whole_numbers.symmetric_difference(some_numbers) # {0, 6, 7, 8, 9, 10} + +python = {'p', 'y', 't', 'h', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.symmetric_difference(dragon) # {'r', 't', 'p', 'y', 'g', 'a', 'd', 'h'} +``` + +### 合并集合 + +如果两个集合没有共同的项或项，我们称它们为不相交集合。我们可以使用 _isdisjoint()_ 方法来检查两个集合是否相交。 + +```py +# 语法 +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.isdisjoint(st1) # 错误 +``` + +**示例：** + +```py +even_numbers = {0, 2, 4, 6, 8} +odd_numbers = {1, 3, 5, 7, 9} +even_numbers.isdisjoint(odd_numbers) # 正确，因为没有共同项 + +python = {'p', 'y', 't', 'h', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.isdisjoint(dragon) # 错误，有共同项 {'o', 'n'} +``` + +🌕 你是一颗冉冉升起的明星。你刚刚完成了第 7 天的挑战，你在通往伟大的道路上前进了 7 步。现在为你的大脑和肌肉做一些练习。 + +## 💻 练习：第 7 天 + +```py +# 集合 +it_companies = {'Facebook', 'Google', 'Microsoft', 'Apple', 'IBM', 'Oracle', 'Amazon'} +A = {19, 22, 24, 20, 25, 26} +B = {19, 22, 20, 25, 26, 24, 28, 27} +age = [22, 19, 24, 25, 26, 24, 25, 24] +``` + +### 练习：第 1 级 + +1. 找到集合 it_companies 的长度 +2. 向 it_companies 添加'Twitter' +3. 一次性向集合 it_companies 插入多个 IT 公司 +4. 从集合 it_companies 中移除一家公司 +5. 移除和丢弃之间有什么区别 + +### 练习：第 2 级 + +1. 合并 A 和 B +1. 找到 A 和 B 的交集 +1. A 是 B 的子集吗 +1. A 和 B 是不相交集合吗 +1. 将 A 与 B 合并，反之亦然 +1. A 和 B 之间的对称差异是什么 +1. 完全删除集合 + +### 练习：第 3 级 + +1. 将年龄转换为集合并比较列表和集合的长度，哪一个更大？ +1. 解释以下数据类型之间的区别：字符串、列表、元组和集合 +1. _我是一个老师，我喜欢激励和教导人们。_ 这句句子中用了多少独特的单词？使用 split 方法和集合来获取独特的单词。 + +🎉 恭喜！ 🎉 + +[<< 第 6 天](./06_tuples.md) | [第 8 天 >>](./08_dictionaries.md) diff --git a/Chinese/08_dictionaries.md b/Chinese/08_dictionaries.md new file mode 100644 index 000000000..bfaee625d --- /dev/null +++ b/Chinese/08_dictionaries.md @@ -0,0 +1,343 @@ +
    +

    30 天 Python 学习：第 8 天 - 字典

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     + +
    + +[<< 第 7 天](./07_sets.md) | [第 9 天 >>](./09_conditionals.md) + +![30 天 Python 学习](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 8 天](#-第-8-天) + - [字典](#字典) + - [创建字典](#创建字典) + - [字典长度](#字典长度) + - [访问字典项](#访问字典项) + - [向字典添加项](#向字典添加项) + - [修改字典中的项](#修改字典中的项) + - [检查字典中的键](#检查字典中的键) + - [从字典中移除键值对](#从字典中移除键值对) + - [将字典转换为项目列表](#将字典转换为项目列表) + - [清空字典](#清空字典) + - [删除字典](#删除字典) + - [复制字典](#复制字典) + - [将字典键转换为列表](#将字典键转换为列表) + - [将字典值转换为列表](#将字典值转换为列表) + - [💻 练习：第 8 天](#-练习-第-8-天) + +# 📘 第 8 天 + +## 字典 + +字典是一种由无序、可修改（可变）的键值对组成的数据类型。 + +### 创建字典 + +为了创建字典，我们使用大括号 {} 或内置函数 _dict()_。 + +```py +# 语法 +empty_dict = {} +# 带数据值的字典 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +``` + +**示例：** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +``` + +上面的字典显示，值可以是任何数据类型：字符串、布尔值、列表、元组、集合或字典。 + +### 字典长度 + +它检查字典中的键值对的数量。 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(len(dct)) # 4 +``` + +**示例：** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(len(person)) # 7 + +``` + +### 访问字典项 + +我们可以通过参考其键名来访问字典项。 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct['key1']) # value1 +print(dct['key4']) # value4 +``` + +**示例：** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(person['first_name']) # Asabeneh +print(person['country']) # Finland +print(person['skills']) # ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'] +print(person['skills'][0]) # JavaScript +print(person['address']['street']) # Space street +print(person['city']) # 错误 +``` + +通过键名访问项时，如果键不存在会引发错误。为了避免这个错误，我们首先要检查键是否存在，或者使用 _get_ 方法。get 方法在键不存在时返回 None（这是 NoneType 对象数据类型）。 + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(person.get('first_name')) # Asabeneh +print(person.get('country')) # Finland +print(person.get('skills')) #['HTML','CSS','JavaScript', 'React', 'Node', 'MongoDB', 'Python'] +print(person.get('city')) # None +``` + +### 向字典添加项 + +我们可以向字典中添加新的键值对 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct['key5'] = 'value5' +``` + +**示例：** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +person['job_title'] = 'Instructor' +person['skills'].append('HTML') +print(person) +``` + +### 修改字典中的项目 + +我们可以修改字典中的项目 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct['key1'] = 'value-one' +``` + +**示例:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +person['first_name'] = 'Eyob' +person['age'] = 252 +``` + +### 检查字典中的键 + +我们使用 _in_ 运算符来检查字典中是否存在某个键 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print('key2' in dct) # True +print('key5' in dct) # False +``` + +### 从字典中删除键值对 + +- _pop(key)_: 删除具有指定键名的项目 +- _popitem()_: 删除最后一个项目 +- _del_: 删除具有指定键名的项目 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct.pop('key1') # 删除 key1 项目 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct.popitem() # 删除最后一项 +del dct['key2'] # 删除 key2 项目 +``` + +**示例:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +person.pop('first_name') # 删除 firstname 项目 +person.popitem() # 删除 address 项目 +del person['is_married'] # 删除 is_married 项目 +``` + +### 将字典改变为项目列表 + +_items()_ 方法将字典变成由元组组成的列表。 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct.items()) # dict_items([('key1', 'value1'), ('key2', 'value2'), ('key3', 'value3'), ('key4', 'value4')]) +``` + +### 清空字典 + +如果我们不需要字典中的项目，我们可以使用 _clear()_ 方法来清空它们 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct.clear()) # None +``` + +### 删除字典 + +如果我们不再使用字典，我们可以完全删除它 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +del dct +``` + +### 复制字典 + +我们可以使用 _copy()_ 方法复制一个字典。使用 copy 方法可以避免原始字典被修改。 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct_copy = dct.copy() # {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +``` + +### 获取字典的键列表 + +keys() 方法给我们一个包含所有字典键的列表。 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +keys = dct.keys() +print(keys) # dict_keys(['key1', 'key2', 'key3', 'key4']) +``` + +### 获取字典的值列表 + +values 方法给我们一个包含所有字典值的列表。 + +```py +# 语法 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +values = dct.values() +print(values) # dict_values(['value1', 'value2', 'value3', 'value4']) +``` + +🌕 你很了不起。现在，你已经掌握了字典的强大功能。你已经完成了第 8 天的挑战，离成功又近了一步。现在为你的大脑和肌肉做一些练习。 + +## 💻 练习：第 8 天 + +1. 创建一个名为 dog 的空字典 +2. 向 dog 字典添加 name、color、breed、legs、age 键 +3. 创建一个学生字典，添加 first_name、last_name、gender、age、marital status、skills、country、city 和 address 作为字典的键 +4. 获取学生字典的长度 +5. 获取 skills 的值并检查数据类型，应该是列表 +6. 修改 skills 值，添加一到两个技能 +7. 获取字典的键列表 +8. 获取字典的值列表 +9. 使用 _items()_ 方法将字典变为由元组组成的列表 +10. 删除字典中的一项 +11. 删除其中一个字典 + +🎉 恭喜你! 🎉 + +[<< 第 7 天](./07_sets.md) | [第 9 天 >>](./09_conditionals.md) diff --git a/Chinese/09_conditionals.md b/Chinese/09_conditionals.md new file mode 100644 index 000000000..cf378a694 --- /dev/null +++ b/Chinese/09_conditionals.md @@ -0,0 +1,284 @@ +
    +

    30天Python学习：第9天 - 条件语句

    + + + + + Twitter Follow + + +作者： +Asabeneh Yetayeh
    +第二版：2021 年 7 月 +     + +
    + +[<< 第 8 天](./08_dictionaries.md) | [第 10 天 >>](./10_loops.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 9 天](#-第9天) + - [条件语句](#条件语句) + - [If 条件](#if条件) + - [If Else](#if-else) + - [If Elif Else](#if-elif-else) + - [简写](#简写) + - [嵌套条件](#嵌套条件) + - [If 条件和逻辑运算符](#if条件和逻辑运算符) + - [If 和 Or 逻辑运算符](#if和or逻辑运算符) + - [💻 练习：第 9 天](#-练习第9天) + - [练习：第一层级](#练习第一层级) + +# 📘 第 9 天 + +## 条件语句 + +默认情况下，Python 脚本中的语句是从上到下顺序执行的。如果处理逻辑需要，可以通过两种方式来改变顺序： + +- 条件执行：如果某个表达式为真，则执行一个或多个语句块 +- 重复执行：只要某个表达式为真，则重复执行一个或多个语句块。在本节中，我们将讨论*if*，_else_，*elif*语句。前面章节中学到的比较运算符和逻辑运算符在这里将派上用场。 + +### If 条件 + +在 Python 和其他编程语言中，关键字*if*用于检查条件是否为真并执行代码块。请记住冒号后的缩进。 + +```py +# 语法 +if condition: + 如果条件为真，则运行此部分代码 +``` + +**示例：1** + +```py +a = 3 +if a > 0: + print('A是一个正数') +# A是一个正数 +``` + +如上例所示，3 大于 0。条件为真，执行代码块。然而，如果条件为假，我们不会看到结果。为了看到假条件的结果，我们应有另一个代码块，即*else*。 + +### If Else + +如果条件为真，则执行第一个代码块，否则执行*else*条件。 + +```py +# 语法 +if condition: + 如果条件为真，则运行此部分代码 +else: + 如果条件为假，则运行此部分代码 +``` + +**示例：** + +```py +a = 3 +if a < 0: + print('A是一个负数') +else: + print('A是一个正数') +``` + +上面的条件为假，因此执行*else*代码块。如果我们的条件超过两个呢？我们可以使用*elif*。 + +### If Elif Else + +在我们的日常生活中，我们每天都在做决策。我们做出决策不仅仅是检查一个或两个条件，而是多个条件。与生活相似，编程中也充满了条件。当我们有多个条件时，可以使用*elif*。 + +```py +# 语法 +if condition: + 代码 +elif condition: + 代码 +else: + 代码 + +``` + +**示例：** + +```py +a = 0 +if a > 0: + print('A是一个正数') +elif a < 0: + print('A是一个负数') +else: + print('A是零') +``` + +### 简写 + +```py +# 语法 +代码 if 条件 else 代码 +``` + +**示例：** + +```py +a = 3 +print('A是正数') if a > 0 else print('A是负数') # 满足第一个条件，将打印 'A是正数' +``` + +### 嵌套条件 + +条件可以嵌套 + +```py +# 语法 +if 条件: + 代码 + if 条件: + 代码 +``` + +**示例：** + +```py +a = 0 +if a > 0: + if a % 2 == 0: + print('A是一个正数且为偶数') + else: + print('A是一个正数') +elif a == 0: + print('A是零') +else: + print('A是一个负数') +``` + +我们可以使用逻辑运算符*and*来避免编写嵌套条件。 + +### If 条件和逻辑运算符 + +```py +# 语法 +if 条件 and 条件: + 代码 +``` + +**示例：** + +```py +a = 0 +if a > 0 and a % 2 == 0: + print('A是一个正数且为偶数') +elif a > 0 and a % 2 != 0: + print('A是一个正数') +elif a == 0: + print('A是零') +else: + print('A是一个负数') +``` + +### If 和 Or 逻辑运算符 + +```py +# 语法 +if 条件 or 条件: + 代码 +``` + +**示例：** + +```py +user = 'James' +access_level = 3 +if user == 'admin' or access_level >= 4: + print('访问授权！') +else: + print('访问拒绝！') +``` + +🌕 你做得很好。永远不要放弃，因为伟大的事情需要时间。你刚刚完成了第 9 天的挑战，你已经在通向伟大的道路上前进了 9 步。现在做一些练习来锻炼你的大脑和肌肉。 + +## 💻 练习：第 9 天 + +### 练习：第一层级 + +1. 使用 input 获取用户输入（例如：“输入你的年龄：”）。如果用户 18 岁或以上，给出反馈：你已经足够大，可以学习驾驶。如果未满 18 岁，则给出需要等待的年数。输出： + + ```sh + 输入你的年龄：30 + 你已经足够大，可以学习驾驶。 + 输出： + 输入你的年龄：15 + 你还需要等待3年才能学习驾驶。 + ``` + +2. 使用 if…else 比较 my_age 和 your_age 的值。谁更年长（我还是你）？使用 input（“输入你的年龄：”）获取年龄作为输入。您可以使用嵌套条件来打印'年'表示 1 年的年龄差异，'年'表示更大的差异，如果 my_age = your_age，则打印自定义文本。输出： + + ```sh + 输入你的年龄：30 + 你比我大5岁。 + ``` + +3. 使用输入提示从用户处获得两个数字。如果 a 大于 b，返回 a 大于 b，如果 a 小于 b，返回 a 小于 b，否则返回 a 等于 b。输出: + +```sh +输入第一个数字：4 +输入第二个数字：3 +4大于3 +``` + +### 练习：第二层级 + +1. 编写代码，根据学生的分数给出等级： + + ```sh + 80-100, A + 70-79, B + 60-69, C + 50-59, D + 0-49, F + ``` + +2. 检查是否是秋天、冬天、春天或夏天。如果用户输入： + 9 月、10 月或 11 月，是秋天。 + 12 月、1 月或 2 月，是冬天。 + 3 月、4 月或 5 月，是春天。 + 6 月、7 月或 8 月，是夏天。 +3. 以下列表包含了一些水果： + + ```sh + fruits = ['banana', 'orange', 'mango', 'lemon'] + ``` + + 如果列表中不存在某个水果，则将其添加到列表中并打印修改后的列表。如果水果存在，则打印('该水果已在列表中')。 + +### 练习：第三层级 + +1. 这里有一个人员字典。请随意修改它！ + +```py +person = { + 'first_name': 'Asabeneh', + 'last_name': 'Yetayeh', + 'age': 250, + 'country': '芬兰', + 'is_married': True, + 'skills': ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address': { + 'street': '太空街', + 'zipcode': '02210' + } +} +``` + +- 检查是否在字典中有 skills 键，如果有则打印 skills 列表中的中间技能。 +- 检查是否在字典中有 skills 键，如果有则检查该人是否具备'Python'技能并打印结果。 +- 如果一个人的技能只有 JavaScript 和 React，打印('他是前端开发者')，如果一个人的技能有 Node、Python、MongoDB，打印('他是后端开发者')，如果一个人的技能有 React、Node 和 MongoDB，打印('他是全栈开发者')，否则打印'未知头衔' - 为获得更准确的结果，可以嵌套更多条件！ +- 如果该人结婚了且居住在芬兰，按以下格式打印信息： + +```py +Asabeneh Yetayeh住在芬兰。他已婚。 +``` + +🎉 恭喜！ 🎉 + +[<< 第 8 天](./08_dictionaries.md) | [第 10 天 >>](./10_loops.md) diff --git a/Chinese/10_loops.md b/Chinese/10_loops.md new file mode 100644 index 000000000..70da66b16 --- /dev/null +++ b/Chinese/10_loops.md @@ -0,0 +1,451 @@ +
    +

    30 天 Python：第十天 - Loops

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     + +
    + +[<< 第 9 天](./09_conditionals.md) | [第 11 天 >>](./11_functions.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + + +- [📘 第十天](#-第十天) + - [循环](#循环) + - [while 循环](#while-循环) + - [break和continue - part 1](#break和continue---part-1) + - [for 循环](#for-循环) + - [break 和 continue - part 2](#break-和-continue---part-2) + - [range() 函数](#range-函数) + - [嵌套for循环](#嵌套for循环) + - [for和else](#for和else) + - [pass语句](#pass语句) + - [💻 练习：第十天](#-练习第十天) + - [练习：一级](#练习一级) + - [练习：二级](#练习二级) + - [练习：三级](#练习三级) + +# 📘 第十天 + +## 循环 + +生活充满了循环。在编程中，我们会做很多重复的任务。编程语言使用循环来处理重复的任务，而Python编程语言提供了以下两种类型的循环: +1. while 循环 +2. for 循环 + +### while 循环 + +我们使用关键字`while`来创建while循环。它在条件被满足时重复执行代码块。当条件变为false时，会结束循环代码块，执行循环之后的代码。 + +```python + # syntax +while condition: + code goes here +``` + +**示例:** + +```python +count = 0 +while count < 5: + print(count) + count = count + 1 +#prints from 0 to 4 +``` + +在上面的循环中，当count等于5时，循环条件变为false，此时循环停止。 + +如果我们想要在循环条件变为false时运行特定的代码块，我们可以使用`else`关键字。 + +```python + # syntax +while condition: + code goes here +else: + code goes here +``` + +**示例:** + +```python +count = 0 +while count < 5: + print(count) + count = count + 1 +else: + print(count) +``` + +当count等于5时，循环条件变为false，循环终止，然后开始执行else块中的代码。因此，5将会被打印输出。 + +### break和continue - part 1 + +* Break：当我们想要退出循环时，我们使用`break`关键字。 + +```python +# syntax +while condition: + code goes here + if another_condition: + break +``` + +**Example:** + +```python +count = 0 +while count < 5: + print(count) + count = count + 1 + if count == 3: + break +``` +上面的while循环只会打印输出0，1，2，但当count等于3时，循环会终止。 +- Continue：当我们想要跳过当前循环并继续执行下一个循环时，我们使用`continue`关键字。 + +```python + # syntax +while condition: + code goes here + if another_condition: + continue +``` + +**示例:** + +```python +count = 0 +while count < 5: + if count == 3: + count = count + 1 + continue + print(count) + count = count + 1 +``` + +上面的while循环只会打印输出0，1，2，4。（3被跳过了） + +### for 循环 + +`for`关键字用于创建for循环。和别的编程语言相似，但语法上有一些不同。它可以用于对序列的遍历（也就是列表、元组、字典、集合、字符串等）。 + +- 列表的for循环 + +```python +# syntax +for iterator in lst: + code goes here +``` + +**示例:** + +```python +numbers = [0, 1, 2, 3, 4, 5] +for number in numbers: # number是引用列表项的临时名称，仅在此循环中有效 + print(number) # number将会被逐行打印，从0到5 +``` + +- 字符串的for循环 + +```python +# syntax +for iterator in string: + code goes here +``` + +**示例:** + +```python +language = 'Python' +for letter in language: + print(letter) + +for i in range(len(language)): + print(language[i]) +``` + +- 元组的for循环 + +```python +# syntax +for iterator in tpl: + code goes here +``` + +**示例:** + +```python +numbers = (0, 1, 2, 3, 4, 5) +for number in numbers: + print(number) +``` + +- 字典的for循环 + 循环遍历将会遍历字典的键。 + +```python + # syntax +for iterator in dct: + code goes here +``` + +**示例:** + +```python +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +for key in person: + print(key) #仅输出键 + +for key, value in person.items(): + print(key, value) # 这样我们可以在迭代的过程中同时访问键和值 +``` + +- 集合的for循环 + +```python +# syntax +for iterator in st: + code goes here +``` + +**示例:** + +```python +it_companies = {'Facebook', 'Google', 'Microsoft', 'Apple', 'IBM', 'Oracle', 'Amazon'} +for company in it_companies: + print(company) +``` + +### break 和 continue - part 2 + +提示： +_break_:当我们想要在循环完成前退出循环时，我们使用`break`关键字。 + +```python +# syntax +for iterator in sequence: + code goes here + if condition: + break +``` + +**示例:** + +```python +numbers = (0,1,2,3,4,5) +for number in numbers: + print(number)#输出 0，1，2，3 + if number == 3: + break +``` +在上面的例子中，当number等于3时，循环会终止。 + +_continue_:当我们想要跳过当前循环并继续执行下一个循环时，我们使用`continue`关键字。 + +```python + # syntax +for iterator in sequence: + code goes here + if condition: + continue +``` + +**示例:** + +```python +numbers = (0,1,2,3,4,5) +for number in numbers: + print(number) + if number == 3: + continue + print('Next number should be ', number + 1) if number != 5 else print("loop's end") # 简而言之，对于简短的条件，需要同时使用if和else语句 +print('outside the loop') +``` +在上面的例子中，当number等于3时，在此条件之后的（但在循环中的）语句会被跳过，如果还有未完成的遍历元素，它会继续执行下一个循环。 + +### range() 函数 + +`range()`函数用于生成一个序列的数字。_range(start, end, step)_函数接受三个参数：起始值、结束值和步长。默认情况下，起始值是0，步长是1。这个函数需要至少一个参数。（结束值end） + +使用`range()`函数生成序列 + +```python +lst = list(range(11)) +print(lst) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +st = set(range(1, 11)) # 两个参数分别代表start和stop，步长step为默认值1 +print(st) # {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} + +lst = list(range(0,11,2)) +print(lst) # [0, 2, 4, 6, 8, 10] +st = set(range(0,11,2)) +print(st) # {0, 2, 4, 6, 8, 10} +``` + +```python +# syntax +for iterator in range(start, end, step): +``` + +**示例:** + +```python +for number in range(11): + print(number) # 打印输出0到10，不包括11。 +``` + +### 嵌套for循环 + +我们可以在循环中嵌套另一个循环。这种循环称为嵌套循环。 + +```python +# syntax +for x in y: + for t in x: + print(t) +``` + +**示例:** + +```python +person = { + 'first_name': 'Asabeneh', + 'last_name': 'Yetayeh', + 'age': 250, + 'country': 'Finland', + 'is_marred': True, + 'skills': ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address': { + 'street': 'Space street', + 'zipcode': '02210' + } +} +for key in person: + if key == 'skills': + for skill in person['skills']: + print(skill) +``` + +### for和else + +如果我们想要在循环结束时执行特定的代码块，我们可以使用`else`关键字。 + +```python +# syntax +for iterator in range(start, end, step): + do something +else: + print('The loop ended') +``` + +**示例:** + +```python +for number in range(11): + print(number) # prints 0 to 10, not including 11 +else: + print('The loop stops at', number) +``` + +### pass语句 + +在python中，当需要一些语句（比如在`:`后），但我们不想执行任何代码时，我们可以使用`pass`关键字来避免报错。此外，我们也可以用它来作为一个占位符，以便在以后填充代码。 + +**示例:** + +```python +for number in range(6): + pass +``` + +🌕 你完成了伟大的一步，太猛了哥。冲冲冲！你刚刚完成了第10天的挑战，你在通往伟大的道路上迈出了10步。现在我们做一些练习来练练肌肉和大脑。 + +## 💻 练习：第十天 + +### 练习：一级 + +1. 分别使用while和for实现从0到10的迭代。 +2. 分别使用while和for实现从10到0的迭代。 +3. 写一个循环，调用7次`print()`函数，输出如下的三角形： + ```py + # + ## + ### + #### + ##### + ###### + ####### + ``` + +4. 使用嵌套循环来实现下面的输出： + + ```sh + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + ``` +5. 使用循环实现下面格式的输出： + ```sh + 0 x 0 = 0 + 1 x 1 = 1 + 2 x 2 = 4 + 3 x 3 = 9 + 4 x 4 = 16 + 5 x 5 = 25 + 6 x 6 = 36 + 7 x 7 = 49 + 8 x 8 = 64 + 9 x 9 = 81 + 10 x 10 = 100 + ``` +6. 用for循环遍历列表`['Python', 'Numpy','Pandas','Django', 'Flask']`，并打印输出每个元素。 +7. 用for循环从0到100遍历并且打印输出所有偶数。 +8. 用for循环从0到100遍历并且打印输出所有奇数。 + +### 练习：二级 + +1. 使用for循环从0到100遍历并且输出所有数字的和。 + ```sh + The sum of all numbers is 5050. + ``` +2. 使用for循环从0到100遍历并且分别输出所有奇数和所有偶数的和。 + ```sh + The sum of all odd numbers is 2500. And the sum of all even numbers is 2550. + ``` + +### 练习：三级 + +1. 跳转到data文件夹并使用[countries.py](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries.py)文件。循环遍历所有国家，并且提取出所有包含字母`land`的国家。 +2. 有一个列表`fruits = ['banana', 'orange', 'mango', 'lemon']`，使用循环反转列表中的元素。 +3. 跳转到data文件夹并使用[countries_data.py](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries-data.py)文件。 + 1. 数据中一共有多少个语言？ + 2. 找到被最多国家使用的语言。 + 3. 找到人数排名前十的国家。 + +🎉 恭喜！ 🎉 + +[<< 第 9 天](./09_conditionals.md) | [第 11 天 >>](./11_functions.md) \ No newline at end of file diff --git a/Chinese/11_functions.md b/Chinese/11_functions.md new file mode 100644 index 000000000..0c44d1b24 --- /dev/null +++ b/Chinese/11_functions.md @@ -0,0 +1,458 @@ +
    +

    30 天 Python 挑战: 第 11 天 - 函数

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    + 第二版: 2021 年 7 月 +     + +
    + +[<< 第 10 天](./10_loops.md) | [第 12 天 >>](./12_modules.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 11 天](#-day-11) + - [函数](#functions) + - [定义函数](#defining-a-function) + - [声明和调用函数](#declaring-and-calling-a-function) + - [无参数的函数](#function-without-parameters) + - [返回值的函数 - 第 1 部分](#function-returning-a-value---part-1) + - [有参数的函数](#function-with-parameters) + - [使用键值对传递参数](#passing-arguments-with-key-and-value) + - [返回值的函数 - 第 2 部分](#function-returning-a-value---part-2) + - [带默认参数的函数](#function-with-default-parameters) + - [不定数量的参数](#arbitrary-number-of-arguments) + - [函数中的默认和不定数量的参数](#default-and-arbitrary-number-of-parameters-in-functions) + - [作为另一个函数参数的函数](#function-as-a-parameter-of-another-function) + - [💻 练习: 第 11 天](#-exercises-day-11) + - [练习: Level 1](#exercises-level-1) + - [练习: Level 2](#exercises-level-2) + - [练习: Level 3](#exercises-level-3) + +# 📘 第 11 天 + +## 函数 + +到目前为止，我们已经学习了很多内置的 Python 函数。在这一节中，我们将重点关注自定义函数。什么是函数？在开始创建函数之前，让我们先了解一下什么是函数以及为什么需要它们。 + +### 定义函数 + +函数是一块可重复使用的代码块或编程语句，用于执行某些任务。要定义或声明一个函数，Python 提供了 _def_ 关键字。下面是定义函数的语法。只有在调用或触发函数时，这段函数代码才会执行。 + +### 声明和调用函数 + +当我们创建一个函数时，我们称其为声明一个函数。当我们开始使用它时，我们称其为调用或触发一个函数。函数可以带参数也可以不带参数。 + +```py +# 语法 +# 声明一个函数 +def function_name(): + codes + codes +# 调用一个函数 +function_name() +``` + +### 无参数的函数 + +函数可以在没有参数的情况下声明。 + +**示例:** + +```py +def generate_full_name (): + first_name = 'Asabeneh' + last_name = 'Yetayeh' + space = ' ' + full_name = first_name + space + last_name + print(full_name) +generate_full_name () # 调用一个函数 + +def add_two_numbers (): + num_one = 2 + num_two = 3 + total = num_one + num_two + print(total) +add_two_numbers() +``` + +### 返回值的函数 - 第 1 部分 + +函数也可以返回值，如果一个函数没有 return 语句，那么函数的返回值为 None。让我们使用 return 重写上述函数。从现在开始，当我们调用函数并打印时，我们会得到一个值。 + +```py +def generate_full_name (): + first_name = 'Asabeneh' + last_name = 'Yetayeh' + space = ' ' + full_name = first_name + space + last_name + return full_name +print(generate_full_name()) + +def add_two_numbers (): + num_one = 2 + num_two = 3 + total = num_one + num_two + return total +print(add_two_numbers()) +``` + +### 有参数的函数 + +在一个函数中，我们可以传递不同的数据类型（数字、字符串、布尔值、列表、元组、字典或集合）作为参数。 + +- 单个参数：如果我们的函数需要一个参数，我们应该用一个实参调用它。 + +```py + # 语法 + # 声明一个函数 + def function_name(parameter): + codes + codes + # 调用函数 + print(function_name(argument)) +``` + +**示例:** + +```py +def greetings (name): + message = name + ', welcome to Python for Everyone!' + return message + +print(greetings('Asabeneh')) + +def add_ten(num): + ten = 10 + return num + ten +print(add_ten(90)) + +def square_number(x): + return x * x +print(square_number(2)) + +def area_of_circle (r): + PI = 3.14 + area = PI * r ** 2 + return area +print(area_of_circle(10)) + +def sum_of_numbers(n): + total = 0 + for i in range(n+1): + total+=i + print(total) +print(sum_of_numbers(10)) # 55 +print(sum_of_numbers(100)) # 5050 +``` + +- 两个参数：一个函数可以没有参数，也可以有一个或多个参数。如果我们的函数需要两个参数，我们应该用两个实参调用它。让我们看看一个带有两个参数的函数： + +```py + # 语法 + # 声明一个函数 + def function_name(para1, para2): + codes + codes + # 调用函数 + print(function_name(arg1, arg2)) +``` + +**示例:** + +```py +def generate_full_name (first_name, last_name): + space = ' ' + full_name = first_name + space + last_name + return full_name +print('Full Name: ', generate_full_name('Asabeneh','Yetayeh')) + +def sum_two_numbers (num_one, num_two): + sum = num_one + num_two + return sum +print('Sum of two numbers: ', sum_two_numbers(1, 9)) + +def calculate_age (current_year, birth_year): + age = current_year - birth_year + return age; + +print('Age: ', calculate_age(2021, 1819)) + +def weight_of_object (mass, gravity): + weight = str(mass * gravity)+ ' N' # 值需要先转换为字符串 + return weight +print('Weight of an object in Newtons: ', weight_of_object(100, 9.81)) +``` + +### 使用键值对传递参数 + +如果我们使用键值对传递参数，参数的顺序就无关紧要了。 + +```py +# 语法 +# 声明一个函数 +def function_name(para1, para2): + codes + codes +# 调用函数 +print(function_name(para1 = 'John', para2 = 'Doe')) # 参数的顺序在这里无关紧要 +``` + +**示例:** + +```py +def print_fullname(firstname, lastname): + space = ' ' + full_name = firstname + space + lastname + print(full_name) +print(print_fullname(firstname = 'Asabeneh', lastname = 'Yetayeh')) + +def add_two_numbers (num1, num2): + total = num1 + num2 + print(total) +print(add_two_numbers(num2 = 3, num1 = 2)) # 顺序无关紧要 +``` + +### 返回值的函数 - 第 2 部分 + +如果我们不在函数中返回一个值，那么我们的函数默认返回 _None_。要用函数返回一个值，我们使用关键字 _return_，后面跟上我们要返回的变量。我们可以从一个函数返回任何类型的数据。 + +- 返回字符串: + **示例:** + +```py +def print_name(firstname): + return firstname +print_name('Asabeneh') # Asabeneh + +def print_full_name(firstname, lastname): + space = ' ' + full_name = firstname + space + lastname + return full_name +print_full_name(firstname='Asabeneh', lastname='Yetayeh') +``` + +- 返回数字: + +**示例:** + +```py +def add_two_numbers (num1, num2): + total = num1 + num2 + return total +print(add_two_numbers(2, 3)) + +def calculate_age (current_year, birth_year): + age = current_year - birth_year + return age; +print('Age: ', calculate_age(2019, 1819)) +``` + +- 返回布尔值: + **示例:** + +```py +def is_even (n): + if n % 2 == 0: + print('even') + return True # return 语句会停止函数的进一步执行，类似于 break + return False +print(is_even(10)) # True +print(is_even(7)) # False +``` + +- 返回列表: + **示例:** + +```py +def find_even_numbers(n): + evens = [] + for i in range(n + 1): + if i % 2 == 0: + evens.append(i) + return evens +print(find_even_numbers(10)) +``` + +### 带默认参数的函数 + +有时我们在调用函数时会传递默认值给参数。如果我们在调用函数时没有传递实参，参数的默认值将会被使用。 + +```py +# 语法 +# 声明一个函数 +def function_name(param = value): + codes + codes +# 调用函数 +function_name() +function_name(arg) +``` + +**示例:** + +```py +def greetings (name = 'Peter'): + message = name + ', welcome to Python for Everyone!' + return message +print(greetings()) +print(greetings('Asabeneh')) + +def generate_full_name (first_name = 'Asabeneh', last_name = 'Yetayeh'): + space = ' ' + full_name = first_name + space + last_name + return full_name + +print(generate_full_name()) +print(generate_full_name('David','Smith')) + +def calculate_age (birth_year,current_year = 2021): + age = current_year - birth_year + return age; +print('Age: ', calculate_age(1821)) + +def weight_of_object (mass, gravity = 9.81): + weight = str(mass * gravity)+ ' N' # 值需要先转换为字符串 + return weight +print('Weight of an object in Newtons: ', weight_of_object(100)) # 9.81 - 地球表面的平均重力 +print('Weight of an object in Newtons: ', weight_of_object(100, 1.62)) # 月球表面的重力 +``` + +### 不定数量的参数 + +如果我们不知道传递给函数的参数数量，可以通过在参数名前加上 \* 来创建一个可以接受不定数量参数的函数。 + +```py +# 语法 +# 声明一个函数 +def function_name(*args): + codes + codes +# 调用函数 +function_name(param1, param2, param3,..) +``` + +**示例:** + +```py +def sum_all_nums(*nums): + total = 0 + for num in nums: + total += num # 相当于 total = total + num + return total +print(sum_all_nums(2, 3, 5)) # 10 +``` + +### 函数中的默认和不定数量的参数 + +```py +def generate_groups (team,*args): + print(team) + for i in args: + print(i) +print(generate_groups('Team-1','Asabeneh','Brook','David','Eyob')) +``` + +### 作为另一个函数参数的函数 + +```py +# 你可以将函数作为参数传递 +def square_number (n): + return n * n +def do_something(f, x): + return f(x) +print(do_something(square_number, 3)) # 27 +``` + +🌕 你已经完成了很多。继续加油！你已经完成了第 11 天的挑战，你在走向成功的道路上已经迈出了 11 步。现在做一些锻炼脑力和肌肉的练习。 + +## 见证 + +现在是时候表达你对作者和 30DaysOfPython 的看法了。你可以在这个[链接](https://testimonify.herokuapp.com/)留下你的见证。 + +## 💻 练习: 第 11 天 + +### 练习: Level 1 + +1. 声明一个函数 _add_two_numbers_。它接受两个参数并返回它们的和。 +2. 圆的面积计算公式为：area = π x r x r。编写一个函数计算 _area_of_circle_。 +3. 编写一个名为 add_all_nums 的函数，它接受不定数量的参数并求和所有参数。检查所有列表项是否都是数字类型。如果不是，给予合理的反馈。 +4. 摄氏温度（°C）可以使用以下公式转换为华氏温度（°F）：°F = (°C x 9/5) + 32。编写一个函数将 °C 转换为 °F，_convert_celsius_to_fahrenheit_。 +5. 编写一个名为 check-season 的函数，它接受一个月份作为参数并返回季节：秋季、冬季、春季或夏季。 +6. 编写一个名为 calculate_slope 的函数，它返回线性方程的斜率。 +7. 二次方程按以下公式计算：ax² + bx + c = 0。编写一个函数计算二次方程的解集，_solve_quadratic_eqn_。 +8. 声明一个名为 print_list 的函数。它接受一个列表作为参数，并打印列表的每个元素。 +9. 声明一个名为 reverse_list 的函数。它接受一个数组作为参数，并返回数组的反转（使用循环）。 + +```py +print(reverse_list([1, 2, 3, 4, 5])) +# [5, 4, 3, 2, 1] +print(reverse_list1(["A", "B", "C"])) +# ["C", "B", "A"] +``` + +10. 声明一个名为 capitalize_list_items 的函数。它接受一个列表作为参数，并返回一个大写的列表项。 +11. 声明一个名为 add_item 的函数。它接受一个列表和一个项作为参数。它返回在末尾添加项的列表。 + +```py +food_staff = ['Potato', 'Tomato', 'Mango', 'Milk']; +print(add_item(food_staff, 'Meat')) # ['Potato', 'Tomato', 'Mango', 'Milk','Meat']; +numbers = [2, 3, 7, 9]; +print(add_item(numbers, 5)) [2, 3, 7, 9, 5] +``` + +12. 声明一个名为 remove_item 的函数。它接受一个列表和一个项作为参数。它返回移除该项后的列表。 + +```py +food_staff = ['Potato', 'Tomato', 'Mango', 'Milk']; +print(remove_item(food_staff, 'Mango')) # ['Potato', 'Tomato', 'Milk']; +numbers = [2, 3, 7, 9]; +print(remove_item(numbers, 3)) # [2, 7, 9] +``` + +13. 声明一个名为 sum_of_numbers 的函数。它接受一个数字参数并将范围内的所有数字相加。 + +```py +print(sum_of_numbers(5)) # 15 +print(sum_all_numbers(10)) # 55 +print(sum_all_numbers(100)) # 5050 +``` + +14. 声明一个名为 sum_of_odds 的函数。它接受一个数字参数并将范围内的所有奇数相加。 +15. 声明一个名为 sum_of_even 的函数。它接受一个数字参数并将范围内的所有偶数相加。 + +### 练习: Level 2 + +1. 声明一个名为 evens_and_odds 的函数。它接受一个正整数作为参数并计算该数内偶数和奇数的数量。 + +```py + print(evens_and_odds(100)) + # 偶数的数量是 50。 + # 奇数的数量是 51。 +``` + +1. 调用你的函数 factorial，它接受一个整数作为参数并返回该数的阶乘。 +1. 调用你的函数 _is_empty_，它接受一个参数并检查它是否为空。 +1. 编写不同的函数，它们接受列表。它们应该计算平均值、计算中位数、计算众数、计算范围、计算方差、计算标准差。 + +### 练习: Level 3 + +1. 编写一个名为 is_prime 的函数，检查一个数是否是质数。 +1. 编写一个函数检查列表中的所有项是否都是唯一的。 +1. 编写一个函数检查列表中的所有项是否都是相同的数据类型。 +1. 编写一个函数检查提供的变量是否是一个有效的 python 变量。 +1. 访问数据文件并访问 countries-data.py 文件。 + +- 创建一个名为 the most_spoken_languages 的函数。它返回世界上使用最多的 10 或 20 种语言，按降序排列。 +- 创建一个名为 the most_populated_countries 的函数。它返回世界上人口最多的 10 或 20 个国家，按降序排列。 + +🎉 恭喜! 🎉 + +[<< 第 10 天](./10_loops.md) | [第 12 天 >>](./12_modules.md) diff --git a/Chinese/12_modules.md b/Chinese/12_modules.md new file mode 100644 index 000000000..0899109e0 --- /dev/null +++ b/Chinese/12_modules.md @@ -0,0 +1,303 @@ +
    +

    30 天 Python ：第 12 天 - 模块

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    +第二版: 2021 年 7 月 +     + +
    + + +[<< 第 11 天](./11_functions.md) | [第 13 天 >>](./13_list_comprehension.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 12 天](#-第12天) + - [模块](#模块) + - [什么是模块](#什么是模块) + - [创建模块](#创建模块) + - [导入模块](#导入模块) + - [从模块中导入函数](#从模块中导入函数) + - [从模块中导入函数并重命名](#从模块中导入函数并重命名) + - [导入内置模块](#导入内置模块) + - [OS 模块](#os-模块) + - [Sys 模块](#sys-模块) + - [统计模块](#统计模块) + - [数学模块](#数学模块) + - [字符串模块](#字符串模块) + - [随机模块](#随机模块) + - [💻 练习：第 12 天](#-练习-第12天) + - [练习：级别 1](#练习-级别-1) + - [练习：级别 2](#练习-级别-2) + - [练习：级别 3](#练习-级别-3) + +# 📘 第 12 天 + +## 模块 + +### 什么是模块 + +模块是包含一组代码或一组函数的文件，可以包含在一个应用程序中。一个模块可以是包含单个变量、函数或大规模代码库的文件。 + +### 创建模块 + +要创建模块，我们在一个 Python 脚本中编写代码并保存为 .py 文件。 在项目文件夹中创建一个名为 mymodule.py 的文件。让我们在此文件中编写一些代码。 + +```py +# mymodule.py 文件 +def generate_full_name(firstname, lastname): + return firstname + ' ' + lastname +``` + +在项目目录中创建 main.py 文件并导入 mymodule.py 文件。 + +### 导入模块 + +要导入文件，我们使用 _import_ 关键字和文件名。 + +```py +# main.py 文件 +import mymodule +print(mymodule.generate_full_name('Asabeneh', 'Yetayeh')) # Asabeneh Yetayeh +``` + +### 从模块中导入函数 + +我们可以在一个文件中有很多函数，并且我们可以分别导入所有函数。 + +```py +# main.py 文件 +from mymodule import generate_full_name, sum_two_nums, person, gravity +print(generate_full_name('Asabneh','Yetayeh')) +print(sum_two_nums(1,9)) +mass = 100 +weight = mass * gravity +print(weight) +print(person['firstname']) +``` + +### 从模块中导入函数并重命名 + +在导入过程中，我们可以重命名模块名称。 + +```py +# main.py 文件 +from mymodule import generate_full_name as fullname, sum_two_nums as total, person as p, gravity as g +print(fullname('Asabneh','Yetayeh')) +print(total(1, 9)) +mass = 100 +weight = mass * g +print(weight) +print(p) +print(p['firstname']) +``` + +## 导入内置模块 + +像其他编程语言一样，我们也可以通过使用关键字 _import_ 导入文件/函数来导入模块。让我们导入我们大多数时候会使用的常见模块。一些常见的内置模块：_math_、_datetime_、_os_、_sys_、_random_、_statistics_、_collections_、_json_、_re_ + +### OS 模块 + +使用 Python _os_ 模块可以自动执行许多操作系统任务。Python 中的 OS 模块提供了创建、更改当前工作目录和删除目录（文件夹）、获取其内容、更改和识别当前目录的函数。 + +```py +# 导入模块 +import os +# 创建目录 +os.mkdir('directory_name') +# 更改当前目录 +os.chdir('path') +# 获取当前工作目录 +os.getcwd() +# 删除目录 +os.rmdir() +``` + +### Sys 模块 + +sys 模块提供用于操作 Python 运行时环境不同部分的函数和变量。函数 sys.argv 返回传递给 Python 脚本的命令行参数列表。此列表中索引 0 处的项始终是脚本的名称，索引 1 处是从命令行传递的参数。 + +示例 script.py 文件： + +```py +import sys +#print(sys.argv[0], argv[1],sys.argv[2]) # 这一行会打印出来：文件名 argument1 argument2 +print('Welcome {}. Enjoy {} challenge!'.format(sys.argv[1], sys.argv[2])) +``` + +现在要查看这个脚本的工作效果，我在命令行中写： + +```sh +python script.py Asabeneh 30DaysOfPython +``` + +结果： + +```sh +Welcome Asabeneh. Enjoy 30DayOfPython challenge! +``` + +一些有用的 sys 命令： + +```py +# 退出 sys +sys.exit() +# 知道最大整数变量 +sys.maxsize +# 知道环境路径 +sys.path +# 知道使用的 Python 版本 +sys.version +``` + +### 统计模块 + +统计模块提供用于数值数据的数学统计的函数。这个模块中定义的流行统计函数：_mean_、_median_、_mode_、_stdev_ 等。 + +```py +from statistics import * # 导入所有统计模块 +ages = [20, 20, 4, 24, 25, 22, 26, 20, 23, 22, 26] +print(mean(ages)) # ~22.9 +print(median(ages)) # 23 +print(mode(ages)) # 20 +print(stdev(ages)) # ~2.3 +``` + +### 数学模块 + +包含许多数学运算和常数的模块。 + +```py +import math +print(math.pi) # 3.141592653589793, pi 常数 +print(math.sqrt(2)) # 1.4142135623730951, 平方根 +print(math.pow(2, 3)) # 8.0, 指数函数 +print(math.floor(9.81)) # 9, 向下取整 +print(math.ceil(9.81)) # 10, 向上取整 +print(math.log10(100)) # 2, 以 10 为底的对数 +``` + +现在，我们已经导入了包含大量函数的 _math_ 模块，可以帮助我们进行数学计算。要检查模块中包含哪些函数，我们可以使用 _help(math)_ 或 _dir(math)_。这将显示模块中的可用函数。如果我们只想从模块中导入特定的函数，我们可以这样导入： + +```py +from math import pi +print(pi) +``` + +也可以一次导入多个函数 + +```py +from math import pi, sqrt, pow, floor, ceil, log10 +print(pi) # 3.141592653589793 +print(sqrt(2)) # 1.4142135623730951 +print(pow(2, 3)) # 8.0 +print(floor(9.81)) # 9 +print(ceil(9.81)) # 10 +print(math.log10(100)) # 2 +``` + +但如果我们想要导入数学模块中的所有函数，可以使用 \* . + +```py +from math import * +print(pi) # 3.141592653589793, pi 常数 +print(sqrt(2)) # 1.4142135623730951, 平方根 +print(pow(2, 3)) # 8.0, 指数 +print(floor(9.81)) # 9, 向下取整 +print(ceil(9.81)) # 10, 向上取整 +print(math.log10(100)) # 2 +``` + +当我们导入时，我们也可以重命名函数名称。 + +```py +from math import pi as PI +print(PI) # 3.141592653589793 +``` + +### 字符串模块 + +字符串模块是一个很有用的模块。下面的例子展示了字符串模块的一些用法。 + +```py +import string +print(string.ascii_letters) # abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ +print(string.digits) # 0123456789 +print(string.punctuation) # !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~ +``` + +### 随机模块 + +现在你已经熟悉了导入模块。让我们再进行一次导入以熟悉它。让我们导入 _random_ 模块，它会给我们一个 0 到 0.9999 之间的随机数。_random_ 模块有很多函数，但在本节中，我们将只使用 _random_ 和 _randint_。 + +```py +from random import random, randint +print(random()) # 它不需要任何参数；它返回一个介于 0 和 0.9999 之间的值 +print(randint(5, 20)) # 它返回一个介于 [5, 20] 之间的随机整数（含边界） +``` + +🌕 你走得很远了。继续努力！你刚刚完成第 12 天的挑战，现在你已经在通往伟大的路上迈出了 12 步。现在为你的大脑和肌肉做一些练习。 + +## 💻 练习：第 12 天 + +### 练习：级别 1 + +1. 编写一个生成六位数/字符 random_user_id 的函数。 + ```py + print(random_user_id()); + '1ee33d' + ``` +2. 修改上一个任务。声明一个名为 user_id_gen_by_user 的函数。它不接受任何参数，但接受两个输入。一个输入是字符的数量，另一个输入是应生成的 ID 数量。 + +```py +print(user_id_gen_by_user()) # 用户输入：5 5 +#输出： +#kcsy2 +#SMFYb +#bWmeq +#ZXOYh +#2Rgxf + +print(user_id_gen_by_user()) # 16 5 +#1GCSgPLMaBAVQZ26 +#YD7eFwNQKNs7qXaT +#ycArC5yrRupyG00S +#UbGxOFI7UXSWAyKN +#dIV0SSUTgAdKwStr +``` + +3. 编写一个名为 rgb_color_gen 的函数。它将生成 RGB 颜色（每个值范围从 0 到 255）。 + +```py +print(rgb_color_gen()) +# rgb(125,244,255) - 输出应该是这种形式 +``` + +### 练习：级别 2 + +1. 编写一个函数 list_of_hexa_colors，它返回一个数组中的任意数量的十六进制颜色（六个十六进制数写在 # 后面。十六进制数字系统由 16 个符号组成，0-9 和 前 6 个字母 a-f。查看任务 6 的输出示例）。 +2. 编写一个函数 list_of_rgb_colors，它返回一个数组中的任意数量的 RGB 颜色。 +3. 编写一个函数 generate_colors，它可以生成任意数量的十六进制或 RGB 颜色。 + +```py + generate_colors('hexa', 3) # ['#a3e12f','#03ed55','#eb3d2b'] + generate_colors('hexa', 1) # ['#b334ef'] + generate_colors('rgb', 3) # ['rgb(5, 55, 175','rgb(50, 105, 100','rgb(15, 26, 80'] + generate_colors('rgb', 1) # ['rgb(33,79, 176)'] +``` + +### 练习：级别 3 + +1. 调用你的函数 shuffle_list，它接受一个列表作为参数并返回一个打乱的列表。 +2. 编写一个函数，它在 0-9 的范围内返回七个随机数的数组。所有数字必须是唯一的。 + +🎉 恭喜！ 🎉 + +[<< 第 11 天](./11_functions.md) | [第 13 天 >>](./13_list_comprehension.md) diff --git a/Chinese/13_list_comprehension.md b/Chinese/13_list_comprehension.md new file mode 100644 index 000000000..205d11067 --- /dev/null +++ b/Chinese/13_list_comprehension.md @@ -0,0 +1,208 @@ +
    +

    Python 30 天挑战：第 13 天 - 列表推导式

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    +第二版: 2021 年 7 月 +     + +
    + + +[<< 第 12 天](./12_modules.md) | [第 14 天 >>](./14_higher_order_functions.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 13 天](#📘-第-13-天) + - [列表推导式](#列表推导式) + - [Lambda 函数](#lambda函数) + - [创建 Lambda 函数](#创建-lambda-函数) + - [Lambda 函数在另一个函数中](#lambda-函数在另一个函数中) + - [💻 练习：第 13 天](#💻-练习第-13-天) + +# 📘 第 13 天 + +## 列表推导式 + +在 Python 中，列表推导式是一种从序列中创建列表的简洁方式。它是创建新列表的简短方法。列表推导式比使用 _for_ 循环处理列表快得多。 + +```py +# 语法 +[i for i in iterable if 表达式] +``` + +**例子: 1** + +例如，如果你想将字符串转换为字符列表。你可以使用几种方法。我们来看看其中的一些： + +```py +# 一种方法 +language = 'Python' +lst = list(language) # 将字符串转换为列表 +print(type(lst)) # list +print(lst) # ['P', 'y', 't', 'h', 'o', 'n'] + +# 第二种方法: 列表推导式 +lst = [i for i in language] +print(type(lst)) # list +print(lst) # ['P', 'y', 't', 'h', 'o', 'n'] +``` + +**例子: 2** + +例如，如果你想生成一个数字列表 + +```py +# 生成数字 +numbers = [i for i in range(11)] # 生成从0到10的数字 +print(numbers) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + +# 也可以在迭代过程中进行数学运算 +squares = [i * i for i in range(11)] +print(squares) # [0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100] + +# 还可以生成元组列表 +numbers = [(i, i * i) for i in range(11)] +print(numbers) # [(0, 0), (1, 1), (2, 4), (3, 9), (4, 16), (5, 25)] +``` + +**例子: 3** + +列表推导式可以与 if 表达式结合使用 + +```py +# 生成偶数 +even_numbers = [i for i in range(21) if i % 2 == 0] # 生成从0到21的偶数列表 +print(even_numbers) # [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20] + +# 生成奇数 +odd_numbers = [i for i in range(21) if i % 2 != 0] # 生成从0到21的奇数列表 +print(odd_numbers) # [1, 3, 5, 7, 9, 11, 13, 15, 17, 19] + +# 过滤数字：让我们从下面的列表中过滤出正偶数 +numbers = [-8, -7, -3, -1, 0, 1, 3, 4, 5, 7, 6, 8, 10] +positive_even_numbers = [i for i in range(21) if i % 2 == 0 and i > 0] +print(positive_even_numbers) # [2, 4, 6, 8, 10, 12, 14, 16, 18, 20] + +# 扁平化三维数组 +list_of_lists = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] +flattened_list = [number for row in list_of_lists for number in row] +print(flattened_list) # [1, 2, 3, 4, 5, 6, 7, 8, 9] +``` + +## Lambda 函数 + +Lambda 函数是没有名字的小匿名函数。它可以接受任意数量的参数，但只能有一个表达式。Lambda 函数类似于 JavaScript 中的匿名函数。当我们想在另一个函数中编写匿名函数时，需要它。 + +### 创建 Lambda 函数 + +要创建一个 lambda 函数，我们使用 _lambda_ 关键字，然后是一个或多个参数，再然后是一个表达式。请参阅下面的语法和示例。Lambda 函数不用 return，但它会隐式地返回表达式。 + +```py +# 语法 +x = lambda param1, param2, param3: param1 + param2 + param3 +print(x(arg1, arg2, arg3)) +``` + +**示例:** + +```py +# 命名函数 +def add_two_nums(a, b): + return a + b + +print(add_two_nums(2, 3)) # 5 + +# 让我们将上述函数更改为 lambda 函数 +add_two_nums = lambda a, b: a + b +print(add_two_nums(2, 3)) # 5 + +# 自调用 lambda 函数 +print((lambda a, b: a + b)(2, 3)) # 5 + +square = lambda x: x ** 2 +print(square(3)) # 9 +cube = lambda x: x ** 3 +print(cube(3)) # 27 + +# 多个变量 +multiple_variable = lambda a, b, c: a ** 2 - 3 * b + 4 * c +print(multiple_variable(5, 5, 3)) # 22 +``` + +### Lambda 函数在另一个函数中 + +在另一个函数中使用 lambda 函数。 + +```py +def power(x): + return lambda n: x ** n + +cube = power(2)(3) # 函数 power 现在需要两个单独的括号中的参数 +print(cube) # 8 +two_power_of_five = power(2)(5) +print(two_power_of_five) # 32 +``` + +🌕 继续保持良好的工作。保持动力，天空才是你的极限！你已经完成了第 13 天的挑战，你已经向伟大的目标迈出了 13 步。现在为你的大脑和肌肉来做一些练习。 + +## 💻 练习: 第 13 天 + +1. 使用列表推导式过滤出列表中的负数和零： + ```py + numbers = [-4, -3, -2, -1, 0, 2, 4, 6] + ``` +2. 将以下列表中的列表展平为一维列表： + + ```py + list_of_lists = [[[1, 2, 3]], [[4, 5, 6]], [[7, 8, 9]]] + + 输出: + [1, 2, 3, 4, 5, 6, 7, 8, 9] + ``` + +3. 使用列表推导式创建以下元组列表： + ```py + [(0, 1, 0, 0, 0, 0, 0), + (1, 1, 1, 1, 1, 1, 1), + (2, 1, 2, 4, 8, 16, 32), + (3, 1, 3, 9, 27, 81, 243), + (4, 1, 4, 16, 64, 256, 1024), + (5, 1, 5, 25, 125, 625, 3125), + (6, 1, 6, 36, 216, 1296, 7776), + (7, 1, 7, 49, 343, 2401, 16807), + (8, 1, 8, 64, 512, 4096, 32768), + (9, 1, 9, 81, 729, 6561, 59049), + (10, 1, 10, 100, 1000, 10000, 100000)] + ``` +4. 将以下列表展平成一个新列表： + ```py + countries = [[('芬兰', '赫尔辛基')], [('瑞典', '斯德哥尔摩')], [('挪威', '奥斯陆')]] + 输出: + [['芬兰', '汇编', '赫尔辛基'], ['瑞典', 'SWE', '斯德哥尔摩'], ['挪威', 'NOR', '奥斯陆']] + ``` +5. 将以下列表转换为字典列表： + ```py + countries = [[('芬兰', '赫尔辛基')], [('瑞典', '斯德哥尔摩')], [('挪威', '奥斯陆')]] + 输出: + [{'国家': '芬兰', '城市': '赫尔辛基'}, + {'国家': '瑞典', '城市': '斯德哥尔摩'}, + {'国家': '挪威', '城市': '奥斯陆'}] + ``` +6. 将以下列表转换为连接字符串的列表： + ```py + names = [[('Asabeneh', 'Yetayeh')], [('David', 'Smith')], [('Donald', 'Trump')], [('Bill', 'Gates')]] + 输出: + ['Asabeneh Yetayeh', 'David Smith', 'Donald Trump', 'Bill Gates'] + ``` +7. 编写一个 lambda 函数，可以求解线性函数的斜率或 y 截距。 + +🎉 祝贺你！🎉 + +[<< 第 12 天](./12_modules.md) | [第 14 天 >>](./14_higher_order_functions.md) diff --git a/Chinese/14_higher_order_functions.md b/Chinese/14_higher_order_functions.md new file mode 100644 index 000000000..2e7575f32 --- /dev/null +++ b/Chinese/14_higher_order_functions.md @@ -0,0 +1,368 @@ +
    +

    30天Python：第14天 - 高阶函数

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh
    +第二版：2021 年 7 月 +     + +
    + +[<< 第 13 天](./13_list_comprehension.md) | [第 15 天 >>](./15_python_type_errors_cn.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 14 天](#-第14天) + - [高阶函数](#高阶函数) + - [函数作为参数](#函数作为参数) + - [函数作为返回值](#函数作为返回值) + - [Python 闭包](#python闭包) + - [Python 装饰器](#python装饰器) + - [创建装饰器](#创建装饰器) + - [将多个装饰器应用于单个函数](#将多个装饰器应用于单个函数) + - [在装饰器函数中接受参数](#在装饰器函数中接受参数) + - [内置高阶函数](#内置高阶函数) + - [Python - Map 函数](#python---map函数) + - [Python - Filter 函数](#python---filter函数) + - [Python - Reduce 函数](#python---reduce函数) + - [💻 练习：第 14 天](#-练习-第14天) + - [练习：简单](#练习-简单) + - [练习：中等](#练习-中等) + - [练习：高级](#练习-高级) + +# 📘 第 14 天 + +## 高阶函数 + +在 Python 中，函数被视为第一类公民，可以对函数执行以下操作： + +- 一个函数可以接收一个或多个函数作为参数 +- 一个函数可以作为另一个函数的返回值 +- 一个函数可以被修改 +- 一个函数可以被赋值给变量 + +在本节中，我们将讨论： + +1. 将函数作为参数传递 +2. 将函数作为返回值返回 +3. 使用 Python 闭包和装饰器 + +### 函数作为参数 + +```py +def sum_numbers(nums): # 普通函数 + return sum(nums) # 使用内置函数sum的函数 + +def higher_order_function(f, lst): # 将函数作为参数 + summation = f(lst) + return summation +result = higher_order_function(sum_numbers, [1, 2, 3, 4, 5]) +print(result) # 15 +``` + +### 函数作为返回值 + +```py +def square(x): # 求平方函数 + return x ** 2 + +def cube(x): # 求立方函数 + return x ** 3 + +def absolute(x): # 求绝对值函数 + if x >= 0: + return x + else: + return -(x) + +def higher_order_function(type): # 返回一个函数的高阶函数 + if type == 'square': + return square + elif type == 'cube': + return cube + elif type == 'absolute': + return absolute + +result = higher_order_function('square') +print(result(3)) # 9 +result = higher_order_function('cube') +print(result(3)) # 27 +result = higher_order_function('absolute') +print(result(-3)) # 3 +``` + +从上述示例中可以看到，高阶函数根据传入的参数来返回不同的函数。 + +## Python 闭包 + +Python 允许嵌套函数访问外部封闭函数的作用域。 这称为闭包。 让我们看看闭包在 Python 中的工作原理。在 Python 中，闭包是通过在另一个封装函数内部嵌套函数，然后返回内部函数来创建的。请看下面的例子。 + +**示例：** + +```py +def add_ten(): + ten = 10 + def add(num): + return num + ten + return add + +closure_result = add_ten() +print(closure_result(5)) # 15 +print(closure_result(10)) # 20 +``` + +## Python 装饰器 + +装饰器是一种设计模式，允许用户在不修改对象结构的情况下为其添加新功能。装饰器通常在你想要装饰的函数定义之前调用。 + +### 创建装饰器 + +要创建装饰器函数，我们需要一个带有内部包装器函数的外部函数。 + +**示例：** + +```py +# 普通函数 +def greeting(): + return 'Welcome to Python' +def uppercase_decorator(function): + def wrapper(): + func = function() + make_uppercase = func.upper() + return make_uppercase + return wrapper +g = uppercase_decorator(greeting) +print(g()) # WELCOME TO PYTHON + +# 使用装饰器实现上面的示例 + +'''这个装饰器函数是一个高阶函数，接收一个函数作为参数''' +def uppercase_decorator(function): + def wrapper(): + func = function() + make_uppercase = func.upper() + return make_uppercase + return wrapper +@uppercase_decorator +def greeting(): + return 'Welcome to Python' +print(greeting()) # WELCOME TO PYTHON +``` + +### 将多个装饰器应用于单个函数 + +```py + +'''这些装饰器函数是高阶函数，接收函数作为参数''' + +# 第一个装饰器 +def uppercase_decorator(function): + def wrapper(): + func = function() + make_uppercase = func.upper() + return make_uppercase + return wrapper + +# 第二个装饰器 +def split_string_decorator(function): + def wrapper(): + func = function() + splitted_string = func.split() + return splitted_string + + return wrapper + +@split_string_decorator +@uppercase_decorator # 在此情况下，装饰器的顺序很重要 - .upper()函数不适用于列表 +def greeting(): + return 'Welcome to Python' +print(greeting()) # WELCOME TO PYTHON +``` + +### 在装饰器函数中接受参数 + +大多数时候我们需要我们的函数接受参数，所以我们可能需要定义一个接受参数的装饰器。 + +```py +def decorator_with_parameters(function): + def wrapper_accepting_parameters(para1, para2, para3): + function(para1, para2, para3) + print("I live in {}".format(para3)) + return wrapper_accepting_parameters + +@decorator_with_parameters +def print_full_name(first_name, last_name, country): + print("I am {} {}. I love to teach.".format( + first_name, last_name, country)) + +print_full_name("Asabeneh", "Yetayeh",'Finland') +``` + +## 内置高阶函数 + +在本部分中，我们将讨论一些内置的高阶函数，如*map()*, *filter*和*reduce*。 +Lambda 函数可以作为参数传递，其最佳使用案例是在地图、过滤和减少等功能中。 + +### Python - Map 函数 + +map()函数是一个内置函数，接收一个函数和可迭代对象作为参数。 + +```py + # 语法 + map(function, iterable) +``` + +**示例：1** + +```py +numbers = [1, 2, 3, 4, 5] # 可迭代对象 +def square(x): + return x ** 2 +numbers_squared = map(square, numbers) +print(list(numbers_squared)) # [1, 4, 9, 16, 25] +# 让我们应用lambda函数 +numbers_squared = map(lambda x : x ** 2, numbers) +print(list(numbers_squared)) # [1, 4, 9, 16, 25] +``` + +**示例：2** + +```py +numbers_str = ['1', '2', '3', '4', '5'] # 可迭代对象 +numbers_int = map(int, numbers_str) +print(list(numbers_int)) # [1, 2, 3, 4, 5] +``` + +**示例：3** + +```py +names = ['Asabeneh', 'Lidiya', 'Ermias', 'Abraham'] # 可迭代对象 + +def change_to_upper(name): + return name.upper() + +names_upper_cased = map(change_to_upper, names) +print(list(names_upper_cased)) # ['ASABENEH', 'LIDIYA', 'ERMIAS', 'ABRAHAM'] + +# 让我们应用lambda函数 +names_upper_cased = map(lambda name: name.upper(), names) +print(list(names_upper_cased)) # ['ASABENEH', 'LIDIYA', 'ERMIAS', 'ABRAHAM'] +``` + +map 函数实际上是迭代列表。例如，它将名称更改为大写并返回一个新列表。 + +### Python - Filter 函数 + +filter()函数调用指定函数，该函数对指定的可迭代对象（列表）中的每个项目返回布尔值。它过滤出满足过滤条件的项目。 + +```py + # 语法 + filter(function, iterable) +``` + +**示例：1** + +```py +# 让我们只过滤偶数 +numbers = [1, 2, 3, 4, 5] # 可迭代对象 + +def is_even(num): + if num % 2 == 0: + return True + return False + +even_numbers = filter(is_even, numbers) +print(list(even_numbers)) # [2, 4] +``` + +**示例：2** + +```py +numbers = [1, 2, 3, 4, 5] # 可迭代对象 + +def is_odd(num): + if num % 2 != 0: + return True + return False + +odd_numbers = filter(is_odd, numbers) +print(list(odd_numbers)) # [1, 3, 5] +``` + +```py +# 过滤长名称 +names = ['Asabeneh', 'Lidiya', 'Ermias', 'Abraham'] # 可迭代对象 +def is_name_long(name): + if len(name) > 7: + return True + return False + +long_names = filter(is_name_long, names) +print(list(long_names)) # ['Asabeneh'] +``` + +### Python - Reduce 函数 + +*reduce()*函数定义在 functools 模块中，我们需要从这个模块中导入它。像 map 和 filter 一样，它接收两个参数，一个函数和一个可迭代对象。然而，它不返回另一个可迭代对象，而是返回一个单一的值。 +**示例：1** + +```py +numbers_str = ['1', '2', '3', '4', '5'] # 可迭代对象 +def add_two_nums(x, y): + return int(x) + int(y) + +total = reduce(add_two_nums, numbers_str) +print(total) # 15 +``` + +## 💻 练习：第 14 天 + +```py +countries = ['Estonia', 'Finland', 'Sweden', 'Denmark', 'Norway', 'Iceland'] +names = ['Asabeneh', 'Lidiya', 'Ermias', 'Abraham'] +numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +``` + +### 练习：简单 + +1. 解释 map、filter 和 reduce 的区别。 +2. 解释高阶函数、闭包和装饰器的区别。 +3. 定义调用函数，见示例。 +4. 使用 for 循环打印 countries 列表中的每个国家。 +5. 使用 for 循环打印 names 列表中的每个名称。 +6. 使用 for 循环打印 numbers 列表中的每个数字。 + +### 练习：中等 + +1. 使用 map 将 countries 列表中的每个国家更改为大写，生成一个新列表。 +2. 使用 map 将 numbers 列表中的每个数字更改为平方，生成一个新列表。 +3. 使用 map 将 names 列表中的每个名称更改为大写，生成一个新列表。 +4. 使用 filter 过滤出包含“land”的国家。 +5. 使用 filter 过滤出正好六个字符的国家。 +6. 使用 filter 过滤出包含六个字母及以上的国家。 +7. 使用 filter 过滤出以'E'开头的国家。 +8. 链接两个或多个列表迭代器（例如 arr.map(callback).filter(callback).reduce(callback)）。 +9. 声明一个函数 get_string_lists，它接收一个列表作为参数并返回一个仅包含字符串项的列表。 +10. 使用 reduce 对 numbers 列表中的所有数字求和。 +11. 使用 reduce 将所有国家连接起来，生成句子：Estonia, Finland, Sweden, Denmark, Norway, and Iceland are north European countries。 +12. 声明一个函数 categorize_countries，返回一个包含某种通用模式的国家列表（可以在本仓库的 countries.js 文件中找到国家列表，例如 'land', 'ia', 'island', 'stan'）。 +13. 创建一个返回字典的函数，其中键表示国家名称的首字母，值表示以该字母开头的国家数。 +14. 声明一个 get_first_ten_countries 函数 - 它返回数据文件夹中 countries.js 列表中的前十个国家。 +15. 声明一个 get_last_ten_countries 函数 - 它返回国家列表中的最后十个国家。 + +### 练习：高级 + +1. 使用 countries_data.py (https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries-data.py) 文件，完成以下任务： + - 按国家名称、首都和人口排序国家 + - 按位置排序出前十个最常用语言。 + - 排序出前十个人口最多的国家。 + +🎉 恭喜你！ 🎉 + +[<< 第 13 天](./13_list_comprehension.md) | [第 15 天 >>](./15_python_type_errors_cn.md) diff --git a/Chinese/15_python_type_errors.md b/Chinese/15_python_type_errors.md new file mode 100644 index 000000000..f5291fbde --- /dev/null +++ b/Chinese/15_python_type_errors.md @@ -0,0 +1,365 @@ +
    +

    30天Python：第15天——Python类型错误

    + + + + + Twitter Follow + + +作者: +Asabeneh Yetayeh +
    + 第二版: 2021 年 7 月 +     + +
    + + +[<< 第 14 天](../14_Day_Higher_order_functions/14_higher_order_functions.md) | [第 16 天 >>](../16_Day_Python_date_time/16_python_datetime.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 15 天](#-第15天) + - [Python 错误类型](#python错误类型) + - [SyntaxError](#syntaxerror) + - [NameError](#nameerror) + - [IndexError](#indexerror) + - [ModuleNotFoundError](#modulenotfounderror) + - [AttributeError](#attributeerror) + - [KeyError](#keyerror) + - [TypeError](#typeerror) + - [ImportError](#importerror) + - [ValueError](#valueerror) + - [ZeroDivisionError](#zerodivisionerror) + - [💻 练习: 第 15 天](#练习-第15天) + +# 📘 第 15 天 + +## Python 错误类型 + +当我们编写代码时，很常见会打错字或出现其他一些常见错误。如果我们的代码不能运行，Python 解释器会显示一条信息，包含关于问题发生在哪里以及错误类型的反馈信息。它有时还会给我们提供可能的修复建议。理解编程语言中的不同类型的错误将有助于我们快速调试代码，同时也会使我们在工作中变得更优秀。 + +让我们逐个来看最常见的错误类型。首先让我们打开 Python 交互式 Shell。打开电脑终端，输入‘python’，将会打开 Python 交互式 Shell。 + +### SyntaxError + +**示例 1: SyntaxError** + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print 'hello world' + File "", line 1 + print 'hello world' + ^ +SyntaxError: Missing parentheses in call to 'print'. Did you mean print('hello world')? +>>> +``` + +如你所见，我们犯了一个语法错误，因为我们忘了用括号包裹字符串，Python 已经建议了解决办法。让我们修复它。 + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print 'hello world' + File "", line 1 + print 'hello world' + ^ +SyntaxError: Missing parentheses in call to 'print'. Did you mean print('hello world')? +>>> print('hello world') +hello world +>>> +``` + +错误类型是*SyntaxError*。修复之后我们的代码顺利执行了。让我们看看更多的错误类型。 + +### NameError + +**示例 1: NameError** + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print(age) +Traceback (most recent call last): + File "", line 1, in +NameError: name 'age' is not defined +>>> +``` + +如你所见，消息显示年龄变量未定义。确实，我们没有定义年龄变量，但我们试图打印它。现在，让我们通过定义并赋值它来修复它。 + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print(age) +Traceback (most recent call last): + File "", line 1, in +NameError: name 'age' is not defined +>>> age = 25 +>>> print(age) +25 +>>> +``` + +错误类型是*NameError*。我们通过定义变量名调试了错误。 + +### IndexError + +**示例 1: IndexError** + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> numbers = [1, 2, 3, 4, 5] +>>> numbers[5] +Traceback (most recent call last): + File "", line 1, in +IndexError: list index out of range +>>> +``` + +在上面的例子中，Python 引发了 IndexError，因为列表只有 0 到 4 的索引，因此超出了范围。 + +### ModuleNotFoundError + +**示例 1: ModuleNotFoundError** + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> +``` + +在上面的例子中，我故意在 math 后面多加了一个 s，所以引发了*ModuleNotFoundError*。让我们通过去掉多余的 s 来修复它。 + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> +``` + +我们修复了它，让我们使用 math 模块中的一些函数。 + +### AttributeError + +**示例 1: AttributeError** + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (最 +澘會末呼つはゃす尽ﾙル귀행세뿌府ぐ +<|vq_10375|> File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> math.PI +Traceback (most recent call last): + File "", line 1, in +AttributeError: module 'math' has no attribute 'PI' +>>> +``` + +如你所见，我又犯了一个错误！我试图从 math 模块调用 PI 函数，但实际上它是 pi。它引发了属性错误，意味着该函数在模块中不存在。让我们通过将 PI 改为 pi 来修复它。 + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> math.PI +Traceback (most recent call last): + File "", line 1, in +AttributeError: module 'math' has no attribute 'PI' +>>> math.pi +3.141592653589793 +>>> +``` + +现在，当我们从 math 模块调用 pi 时得到了结果。 + +### KeyError + +**示例 1: KeyError** + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> users = {'name':'Asab', 'age':250, 'country':'Finland'} +>>> users['name'] +'Asab' +>>> users['county'] +Traceback (most recent call last): + File "", line 1, in +KeyError: 'county' +>>> +``` + +如你所见，用于获取字典值的键存在拼写错误。这是一个 key error，修复非常简单。让我们做一下！ + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> user = {'name':'Asab', 'age':250, 'country':'Finland'} +>>> user['name'] +'Asab' +>>> user['county'] +Traceback (most recent call last): + File "", line 1, in +KeyError: 'county' +>>> user['country'] +'Finland' +>>> +``` + +我们调试了错误，代码运行并获取了值。 + +### TypeError + +**示例 1: TypeError** + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 4 + '3' +Traceback (most recent call last): + File "", line 1, in +TypeError: unsupported operand type(s) for +: 'int' and 'str' +>>> +``` + +在上面的例子中，引发了 TypeError，因为我们不能将数字和字符串相加。第一个解决方法是将字符串转换为 int 或 float。另一种解决方法是将数字转换为字符串（结果将是'43'）。让我们跟随第一种解决方案。 + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 4 + '3' +Traceback (most recent call last): + File "", line 1, in +TypeError: unsupported operand type(s) for +: 'int' and 'str' +>>> 4 + int('3') +7 +>>> 4 + float('3') +7.0 +>>> +``` + +错误消除，我们得到了期望的结果。 + +### ImportError + +**示例 1: TypeError** + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> from math import power +Traceback (most recent call last): + File "", line 1, in +ImportError: cannot import name 'power' from 'math' +>>> +``` + +数学模块中没有函数叫做 power，它是以另一个名字存在: _pow_。让我们纠正它： + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> from math import power +Traceback (most recent call last): + File "", line 1, in +ImportError: cannot import name 'power' from 'math' +>>> from math import pow +>>> pow(2,3) +8.0 +>>> +``` + +### ValueError + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> int('12a') +Traceback (most recent call last): + File "", line 1, in +ValueError: invalid literal for int() with base 10: '12a' +>>> +``` + +在这种情况下，我们无法将给定字符串更改为数字，因为它包含了'a'字母。 + +### ZeroDivisionError + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 1/0 +Traceback (most recent call last): + File "", line 1, in +ZeroDivisionError: division by zero +>>> +``` + +我们不能将一个数除以零。 + +我们已经涵盖了一些 Python 错误类型，如果你想了解更多，请查看 Python 文档中的 Python 错误类型。 +如果你能够很好地阅读错误类型，你将能够快速修复你的 bug，并且你也会成为一个更优秀的程序员。 + +🌕 你正在不断进步。你已经走到了通往卓越的半程。现在来一些锻炼大脑和肌肉的练习吧。 + +## 💻 练习: 第 15 天 + +1. 打开你 Python 的交互式 Shell，尝试本节中涵盖的所有示例。 + +🎉 恭喜！ 🎉 + +[<< 第 14 天](../14_Day_Higher_order_functions/14_higher_order_functions.md) | [第 16 天 >>](../16_Day_Python_date_time/16_python_datetime.md) diff --git a/Chinese/15_python_type_errors_cn.md b/Chinese/15_python_type_errors_cn.md new file mode 100644 index 000000000..891465924 --- /dev/null +++ b/Chinese/15_python_type_errors_cn.md @@ -0,0 +1,344 @@ +# 30天Python编程挑战：第15天 - Python类型错误 + +- [Day 15](#day-15) + - [Python错误类型](#python错误类型) + - [SyntaxError (语法错误)](#syntaxerror-语法错误) + - [NameError (名称错误)](#nameerror-名称错误) + - [IndexError (索引错误)](#indexerror-索引错误) + - [ModuleNotFoundError (模块未找到错误)](#modulenotfounderror-模块未找到错误) + - [AttributeError (属性错误)](#attributeerror-属性错误) + - [KeyError (键错误)](#keyerror-键错误) + - [TypeError (类型错误)](#typeerror-类型错误) + - [ImportError (导入错误)](#importerror-导入错误) + - [ValueError (值错误)](#valueerror-值错误) + - [ZeroDivisionError (零除错误)](#zerodivisionerror-零除错误) + - [💻 练习 - 第15天](#-练习---第15天) + +# 📘 Day 15 + +## Python错误类型 + +当我们编写代码时，常常会出现打字错误或其他常见错误。如果我们的代码运行失败，Python解释器会显示一条消息，提供有关问题发生位置和错误类型的反馈信息。有时它还会给我们提供可能的修复建议。了解编程语言中不同类型的错误将帮助我们快速调试代码，并使我们在编程技能上有所提高。 + +让我们一一查看最常见的错误类型。首先，让我们打开Python交互式shell。转到你的计算机终端并输入'python'。Python交互式shell将会被打开。 + +### SyntaxError (语法错误) + +**示例1: SyntaxError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print 'hello world' + File "", line 1 + print 'hello world' + ^ +SyntaxError: Missing parentheses in call to 'print'. Did you mean print('hello world')? +>>> +``` + +如你所见，我们犯了一个语法错误，因为我们忘记用括号括起字符串，而Python已经提出了解决方案。让我们修复它。 + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print 'hello world' + File "", line 1 + print 'hello world' + ^ +SyntaxError: Missing parentheses in call to 'print'. Did you mean print('hello world')? +>>> print('hello world') +hello world +>>> +``` + +错误是一个_SyntaxError_。修复后，我们的代码顺利执行。让我们看看更多的错误类型。 + +### NameError (名称错误) + +**示例1: NameError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print(age) +Traceback (most recent call last): + File "", line 1, in +NameError: name 'age' is not defined +>>> +``` + +从上面的消息可以看出，名称age没有被定义。是的，确实如此，我们没有定义age变量，但我们试图像已经声明了一样打印它。现在，让我们通过声明变量并为其赋值来修复这个问题。 + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print(age) +Traceback (most recent call last): + File "", line 1, in +NameError: name 'age' is not defined +>>> age = 25 +>>> print(age) +25 +>>> +``` + +错误类型是_NameError_。我们通过定义变量名来调试了错误。 + +### IndexError (索引错误) + +**示例1: IndexError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> numbers = [1, 2, 3, 4, 5] +>>> numbers[5] +Traceback (most recent call last): + File "", line 1, in +IndexError: list index out of range +>>> +``` + +在上面的例子中，Python抛出了一个_IndexError_，因为列表的索引只有0到4，所以索引5超出了范围。 + +### ModuleNotFoundError (模块未找到错误) + +**示例1: ModuleNotFoundError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> +``` + +在上面的例子中，我故意在math后面添加了一个多余的s，结果抛出了_ModuleNotFoundError_。让我们通过从math中删除多余的s来修复它。 + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> +``` + +我们修复了它，所以让我们使用math模块中的一些函数。 + +### AttributeError (属性错误) + +**示例1: AttributeError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> math.PI +Traceback (most recent call last): + File "", line 1, in +AttributeError: module 'math' has no attribute 'PI' +>>> +``` + +如你所见，我又犯了一个错误！我试图从math模块调用PI函数，而不是pi。这抛出了一个属性错误，表示该函数在模块中不存在。让我们通过将PI更改为pi来修复它。 + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> math.PI +Traceback (most recent call last): + File "", line 1, in +AttributeError: module 'math' has no attribute 'PI' +>>> math.pi +3.141592653589793 +>>> +``` + +现在，当我们从math模块调用pi时，我们得到了结果。 + +### KeyError (键错误) + +**示例1: KeyError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> users = {'name':'Asab', 'age':250, 'country':'Finland'} +>>> users['name'] +'Asab' +>>> users['county'] +Traceback (most recent call last): + File "", line 1, in +KeyError: 'county' +>>> +``` + +如你所见，在用于获取字典值的键中有一个拼写错误。这是一个键错误，修复方法很简单。让我们来做这个！ + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> user = {'name':'Asab', 'age':250, 'country':'Finland'} +>>> user['name'] +'Asab' +>>> user['county'] +Traceback (most recent call last): + File "", line 1, in +KeyError: 'county' +>>> user['country'] +'Finland' +>>> +``` + +我们调试了错误，我们的代码运行并得到了结果。 + +### TypeError (类型错误) + +**示例1: TypeError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 4 + '3' +Traceback (most recent call last): + File "", line 1, in +TypeError: unsupported operand type(s) for +: 'int' and 'str' +>>> +``` + +在上面的例子中，出现了TypeError，因为我们不能将数字与字符串相加。第一个解决方案是将字符串转换为int或float。另一个解决方案是将数字转换为字符串（那么结果将是'43'）。让我们采用第一种修复方式。 + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 4 + '3' +Traceback (most recent call last): + File "", line 1, in +TypeError: unsupported operand type(s) for +: 'int' and 'str' +>>> 4 + int('3') +7 +>>> 4 + float('3') +7.0 +>>> +``` + +错误已消除，我们得到了预期的结果。 + +### ImportError (导入错误) + +**示例1: ImportError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> from math import power +Traceback (most recent call last): + File "", line 1, in +ImportError: cannot import name 'power' from 'math' +>>> +``` + +math模块中没有名为power的函数，它的名字是不同的：_pow_。让我们纠正它： + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> from math import power +Traceback (most recent call last): + File "", line 1, in +ImportError: cannot import name 'power' from 'math' +>>> from math import pow +>>> pow(2,3) +8.0 +>>> +``` + +### ValueError (值错误) + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> int('12a') +Traceback (most recent call last): + File "", line 1, in +ValueError: invalid literal for int() with base 10: '12a' +>>> +``` + +在这种情况下，我们无法将给定的字符串转换为数字，因为其中有字母'a'。 + +### ZeroDivisionError (零除错误) + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 1/0 +Traceback (most recent call last): + File "", line 1, in +ZeroDivisionError: division by zero +>>> +``` + +我们不能用零去除一个数字。 + +我们已经介绍了一些Python错误类型，如果你想了解更多，请查看Python文档中关于Python错误类型的内容。 +如果你擅长阅读错误类型，那么你将能够快速修复你的bug，你也将成为一个更好的程序员。 + +🌕 你正在进步。你已经完成了一半的道路，正走向伟大。现在做一些练习来锻炼你的大脑和肌肉。 + +## 💻 练习 - 第15天 + +1. 打开你的Python交互式shell，尝试本节中介绍的所有示例。 + +🎉 恭喜！🎉 + +[<< 第 14 天](./14_higher_order_functions.md) | [第 16 天 >>](./16_python_datetime_cn.md) \ No newline at end of file diff --git a/Chinese/16_python_datetime.md b/Chinese/16_python_datetime.md new file mode 100644 index 000000000..8ddaa0503 --- /dev/null +++ b/Chinese/16_python_datetime.md @@ -0,0 +1,211 @@ +
    +

    30天Python学习：第16天 - Python日期和时间

    + + + + + Twitter Follow + + +作者： +Asabeneh Yetayeh
    +第二版：2021 年 7 月 +     + +
    + +[<< 第 15 天](../15_Day_Python_type_errors/15_python_type_errors.md) ｜ [第 17 天 >>](../17_Day_Exception_handling/17_exception_handling.md) + +![30天Python学习](../images/30DaysOfPython_banner3@2x.png) + +- [📘 第 16 天](#-第16天) + - [Python _datetime_ 模块](#python-datetime-模块) + - [获取 _datetime_ 信息](#获取-datetime-信息) + - [使用 _strftime_ 格式化日期输出](#使用-strftime-格式化日期输出) + - [使用 _strptime_ 将字符串转换为时间](#使用-strptime-将字符串转换为时间) + - [从 _datetime_ 中使用 _date_](#从-datetime-中使用-date) + - [用时间对象表示时间](#用时间对象表示时间) + - [计算两个时间点之间的差异](#计算两个时间点之间的差异) + - [使用 _timedelta_ 计算两个时间点之间的差异](#使用-timedelta-计算两个时间点之间的差异) + - [💻 练习：第 16 天](#-练习-第16天) + +# 📘 第 16 天 + +## Python _datetime_ 模块 + +Python 有一个 _datetime_ 模块来处理日期和时间。 + +```python +import datetime +print(dir(datetime)) +['MAXYEAR', 'MINYEAR', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'date', 'datetime', 'datetime_CAPI', 'sys', 'time', 'timedelta', 'timezone', 'tzinfo'] +``` + +使用 dir 或 help 内置命令可以知道某个模块中可用的函数。如你所见，datetime 模块中有很多函数，但我们将专注于 _date_, _datetime_, _time_ 和 _timedelta_。让我们一一看一下它们。 + +### 获取 _datetime_ 信息 + +```python +from datetime import datetime +now = datetime.now() +print(now) # 2021-07-08 07:34:46.549883 +day = now.day # 8 +month = now.month # 7 +year = now.year # 2021 +hour = now.hour # 7 +minute = now.minute # 38 +second = now.second +timestamp = now.timestamp() +print(day, month, year, hour, minute) +print('timestamp', timestamp) +print(f'{day}/{month}/{year}, {hour}:{minute}') # 8/7/2021, 7:38 +``` + +时间戳或 Unix 时间戳是从 1970 年 1 月 1 日 UTC 起经过的秒数。 + +### 使用 _strftime_ 格式化日期输出 + +```python +from datetime import datetime +new_year = datetime(2020, 1, 1) +print(new_year) # 2020-01-01 00:00:00 +day = new_year.day +month = new_year.month +year = new_year.year +hour = new_year.hour +minute = new_year.minute +second = new_year.second +print(day, month, year, hour, minute) #1 1 2020 0 0 +print(f'{day}/{month}/{year}, {hour}:{minute}') # 1/1/2020, 0:0 + +``` + +使用 _strftime_ 方法格式化日期时间，可以在[这里](https://strftime.org/)找到文档。 + +```python +from datetime import datetime +# 当前日期和时间 +now = datetime.now() +t = now.strftime("%H:%M:%S") +print("time:", t) +time_one = now.strftime("%m/%d/%Y, %H:%M:%S") +# mm/dd/YY H:M:S 格式 +print("time one:", time_one) +time_two = now.strftime("%d/%m/%Y, %H:%M:%S") +# dd/mm/YY H:M:S 格式 +print("time two:", time_two) +``` + +```sh +time: 01:05:01 +time one: 12/05/2019, 01:05:01 +time two: 05/12/2019, 01:05:01 +``` + +下面是我们用来格式化时间的 _strftime_ 符号。此模块的所有格式示例。 + +![strftime](../images/strftime.png) + +### 使用 _strptime_ 将字符串转换为时间 + +这里有一个帮助理解格式的[文档](https://www.programiz.com/python-programming/datetime/strptimet)。 + +```python +from datetime import datetime +date_string = "5 December, 2019" +print("date_string =", date_string) +date_object = datetime.strptime(date_string, "%d %B, %Y") +print("date_object =", date_object) +``` + +```sh +date_string = 5 December, 2019 +date_object = 2019-12-05 00:00:00 +``` + +### 从 _datetime_ 中使用 _date_ + +```python +from datetime import date +d = date(2020, 1, 1) +print(d) +print('Current date:', d.today()) # 2019-12-05 +# 今日日期对象 +today = date.today() +print("Current year:", today.year) # 2019 +print("Current month:", today.month) # 12 +print("Current day:", today.day) # 5 +``` + +### 用时间对象表示时间 + +```python +from datetime import time +# time(hour = 0, minute = 0, second = 0) +a = time() +print("a =", a) +# time(hour, minute and second) +b = time(10, 30, 50) +print("b =", b) +# time(hour, minute and second) +c = time(hour=10, minute=30, second=50) +print("c =", c) +# time(hour, minute, second, microsecond) +d = time(10, 30, 50, 200555) +print("d =", d) +``` + +输出结果 +a = 00:00:00 +b = 10:30:50 +c = 10:30:50 +d = 10:30:50.200555 + +### 计算两个时间点之间的差异 + +```python +today = date(year=2019, month=12, day=5) +new_year = date(year=2020, month=1, day=1) +time_left_for_newyear = new_year - today +# 距离新年的时间：27天，0:00:00 +print('Time left for new year: ', time_left_for_newyear) + +t1 = datetime(year = 2019, month = 12, day = 5, hour = 0, minute = 59, second = 0) +t2 = datetime(year = 2020, month = 1, day = 1, hour = 0, minute = 0, second = 0) +diff = t2 - t1 +print('Time left for new year:', diff) # 距离新年：26天，23:01:00 +``` + +### 使用 _timedelta_ 计算两个时间点之间的差异 + +```python +from datetime import timedelta +t1 = timedelta(weeks=12, days=10, hours=4, seconds=20) +t2 = timedelta(days=7, hours=5, minutes=3, seconds=30) +t3 = t1 - t2 +print("t3 =", t3) +``` + +```sh + date_string = 5 December, 2019 + date_object = 2019-12-05 00:00:00 + t3 = 86 days, 22:56:50 +``` + +🌕 你是非凡的。你已经向着伟大的道路迈出了第 16 步。现在为你的大脑和肌肉做一些练习吧。 + +## 💻 练习：第 16 天 + +1. 获取当前日期、月、年、小时、分钟和时间戳 +2. 使用此格式格式化当前日期：“%m/%d/%Y, %H:%M:%S” +3. 今天是 2019 年 12 月 5 日。将这个时间字符串转换为时间。 +4. 计算现在和新年之间的时间差。 +5. 计算 1970 年 1 月 1 日和现在之间的时间差。 +6. 想想，你可以使用 datetime 模块做什么？示例： + - 时间序列分析 + - 获取应用程序中任何活动的时间戳 + - 添加博客上的帖子 + +🎉 恭喜你 ! 🎉 + +[<< 第 15 天](../15_Day_Python_type_errors/15_python_type_errors.md) ｜ [第 17 天 >>](../17_Day_Exception_handling/17_exception_handling.md) diff --git a/Chinese/16_python_datetime_cn.md b/Chinese/16_python_datetime_cn.md new file mode 100644 index 000000000..c497146ec --- /dev/null +++ b/Chinese/16_python_datetime_cn.md @@ -0,0 +1,192 @@ +# 30天Python编程挑战：第16天 - Python日期时间 + +- [第16天](#-第16天) + - [Python *datetime*](#python-datetime) + - [获取 *datetime* 信息](#获取-datetime-信息) + - [使用 *strftime* 格式化日期输出](#使用-strftime-格式化日期输出) + - [使用 *strptime* 将字符串转换为时间](#使用-strptime-将字符串转换为时间) + - [从 *datetime* 使用 *date*](#从-datetime-使用-date) + - [使用Time对象表示时间](#使用time对象表示时间) + - [计算两个时间点之间的差异](#计算两个时间点之间的差异) + - [使用 *timedelta* 计算两个时间点之间的差异](#使用-timedelta-计算两个时间点之间的差异) + - [💻 练习 - 第16天](#-练习---第16天) + +# 📘 第16天 + +## Python *datetime* + +Python有一个 _datetime_ 模块用于处理日期和时间。 + +```py +import datetime +print(dir(datetime)) +['MAXYEAR', 'MINYEAR', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'date', 'datetime', 'datetime_CAPI', 'sys', 'time', 'timedelta', 'timezone', 'tzinfo'] +``` + +通过dir或help内置命令，可以了解特定模块中可用的函数。如你所见，datetime模块中有许多函数，但我们将重点关注 _date_、_datetime_、_time_ 和 _timedelta_。让我们一个一个地看。 + +### 获取 *datetime* 信息 + +```py +from datetime import datetime +now = datetime.now() +print(now) # 2021-07-08 07:34:46.549883 +day = now.day # 8 +month = now.month # 7 +year = now.year # 2021 +hour = now.hour # 7 +minute = now.minute # 38 +second = now.second +timestamp = now.timestamp() +print(day, month, year, hour, minute) +print('timestamp', timestamp) +print(f'{day}/{month}/{year}, {hour}:{minute}') # 8/7/2021, 7:38 +``` + +时间戳或Unix时间戳是从1970年1月1日UTC开始经过的秒数。 + +### 使用 *strftime* 格式化日期输出 + +```py +from datetime import datetime +new_year = datetime(2020, 1, 1) +print(new_year) # 2020-01-01 00:00:00 +day = new_year.day +month = new_year.month +year = new_year.year +hour = new_year.hour +minute = new_year.minute +second = new_year.second +print(day, month, year, hour, minute) #1 1 2020 0 0 +print(f'{day}/{month}/{year}, {hour}:{minute}') # 1/1/2020, 0:0 + +``` + +使用 *strftime* 方法格式化日期时间，相关文档可以在[这里](https://strftime.org/)找到。 + +```py +from datetime import datetime +# 当前日期和时间 +now = datetime.now() +t = now.strftime("%H:%M:%S") +print("时间:", t) +time_one = now.strftime("%m/%d/%Y, %H:%M:%S") +# mm/dd/YY H:M:S 格式 +print("时间一:", time_one) +time_two = now.strftime("%d/%m/%Y, %H:%M:%S") +# dd/mm/YY H:M:S 格式 +print("时间二:", time_two) +``` + +```sh +时间: 01:05:01 +时间一: 12/05/2019, 01:05:01 +时间二: 05/12/2019, 01:05:01 +``` + +以下是我们用来格式化时间的所有 _strftime_ 符号。这个模块的所有格式示例。 + +![strftime](../images/strftime.png) + +### 使用 *strptime* 将字符串转换为时间 +这里有一个[文档](https://www.programiz.com/python-programming/datetime/strptimet)，有助于理解格式。 + +```py +from datetime import datetime +date_string = "5 December, 2019" +print("date_string =", date_string) +date_object = datetime.strptime(date_string, "%d %B, %Y") +print("date_object =", date_object) +``` + +```sh +date_string = 5 December, 2019 +date_object = 2019-12-05 00:00:00 +``` + +### 从 *datetime* 使用 *date* + +```py +from datetime import date +d = date(2020, 1, 1) +print(d) +print('当前日期:', d.today()) # 2019-12-05 +# 今天的日期对象 +today = date.today() +print("当前年份:", today.year) # 2019 +print("当前月份:", today.month) # 12 +print("当前日:", today.day) # 5 +``` + +### 使用Time对象表示时间 + +```py +from datetime import time +# time(hour = 0, minute = 0, second = 0) +a = time() +print("a =", a) +# time(hour, minute 和 second) +b = time(10, 30, 50) +print("b =", b) +# time(hour, minute 和 second) +c = time(hour=10, minute=30, second=50) +print("c =", c) +# time(hour, minute, second, microsecond) +d = time(10, 30, 50, 200555) +print("d =", d) +``` + +输出： +a = 00:00:00 +b = 10:30:50 +c = 10:30:50 +d = 10:30:50.200555 + +### 计算两个时间点之间的差异 + +```py +today = date(year=2019, month=12, day=5) +new_year = date(year=2020, month=1, day=1) +time_left_for_newyear = new_year - today +# 距离新年的时间： 27 days, 0:00:00 +print('距离新年的时间: ', time_left_for_newyear) + +t1 = datetime(year = 2019, month = 12, day = 5, hour = 0, minute = 59, second = 0) +t2 = datetime(year = 2020, month = 1, day = 1, hour = 0, minute = 0, second = 0) +diff = t2 - t1 +print('距离新年的时间:', diff) # 距离新年的时间: 26 days, 23: 01: 00 +``` + +### 使用 *timedelta* 计算两个时间点之间的差异 + +```py +from datetime import timedelta +t1 = timedelta(weeks=12, days=10, hours=4, seconds=20) +t2 = timedelta(days=7, hours=5, minutes=3, seconds=30) +t3 = t1 - t2 +print("t3 =", t3) +``` + +```sh +date_string = 5 December, 2019 +date_object = 2019-12-05 00:00:00 +t3 = 86 days, 22:56:50 +``` + +🌕 你太了不起了。你在通往卓越的道路上已经前进了16步。现在做一些练习锻炼你的大脑和肌肉。 + +## 💻 练习 - 第16天 + +1. 从datetime模块获取当前的日、月、年、小时、分钟和时间戳 +2. 使用此格式格式化当前日期："%m/%d/%Y, %H:%M:%S" +3. 今天是2019年12月5日。将此时间字符串转换为时间。 +4. 计算现在和新年之间的时间差。 +5. 计算1970年1月1日和现在之间的时间差。 +6. 思考，你可以将datetime模块用于什么？例如： + - 时间序列分析 + - 获取应用程序中任何活动的时间戳 + - 在博客上添加帖子 + +🎉 恭喜！🎉 + +[<< 第 15 天](./15_python_type_errors_cn.md) | [第 17 天 >>](./17_exception_handling_cn.md) \ No newline at end of file diff --git a/Chinese/17_exception_handling_cn.md b/Chinese/17_exception_handling_cn.md new file mode 100644 index 000000000..28076693b --- /dev/null +++ b/Chinese/17_exception_handling_cn.md @@ -0,0 +1,285 @@ +# 30天Python编程挑战：第17天 - 异常处理 + +- [第17天](#-第17天) + - [异常处理](#异常处理) + - [Python中的打包和解包参数](#python中的打包和解包参数) + - [解包](#解包) + - [解包列表](#解包列表) + - [解包字典](#解包字典) + - [打包](#打包) + - [打包列表](#打包列表) + - [打包字典](#打包字典) + - [Python中的展开](#python中的展开) + - [枚举](#枚举) + - [Zip](#zip) + - [练习：第17天](#练习第17天) + +# 📘 第17天 + +## 异常处理 + +Python使用 _try_ 和 _except_ 优雅地处理错误。优雅的退出（或优雅的错误处理）是一种简单的编程习惯 - 程序检测到严重的错误条件并"优雅地退出"，即以受控的方式处理结果。通常，程序会在优雅退出时向终端或日志打印描述性错误消息，这使我们的应用程序更加健壮。异常的原因通常是程序本身之外的因素，例如错误的输入、错误的文件名、找不到文件、IO设备故障等。优雅的错误处理可以防止我们的应用程序崩溃。 + +我们在前一部分已经介绍了不同类型的Python _错误_。如果我们在程序中使用 _try_ 和 _except_，那么这些块中就不会引发错误。 + +![Try and Except](../images/try_except.png) + +```py +try: + # 如果一切正常，执行这个块中的代码 +except: + # 如果出错，执行这个块中的代码 +``` + +**示例：** + +```py +try: + print(10 + '5') +except: + print('出现了一些错误') +``` + +在上面的例子中，第二个操作数是一个字符串。我们可以将其更改为float或int，使其能够与数字相加。但如果不做任何更改，第二个块 _except_ 将被执行。 + +**示例：** + +```py +try: + name = input('输入你的名字:') + year_born = input('你出生的年份:') + age = 2019 - year_born + print(f'你是{name}. 你的年龄是{age}.') +except: + print('出现了一些错误') +``` + +```sh +出现了一些错误 +``` + +在上面的例子中，异常块将运行，但我们不知道具体的问题是什么。为了分析问题，我们可以使用不同的错误类型配合except。 + +在下面的例子中，它将处理错误，并且告诉我们引发了什么类型的错误。 + +```py +try: + name = input('输入你的名字:') + year_born = input('你出生的年份:') + age = 2019 - year_born + print(f'你是{name}. 你的年龄是{age}.') +except TypeError: + print('发生了类型错误') +except ValueError: + print('发生了值错误') +except ZeroDivisionError: + print('发生了除零错误') +``` + +```sh +输入你的名字:Asabeneh +你出生的年份:1920 +发生了类型错误 +``` + +在上述代码中，输出将是 _TypeError_。 +现在，让我们添加一个额外的块： + +```py +try: + name = input('输入你的名字:') + year_born = input('你出生的年份:') + age = 2019 - int(year_born) + print(f'你是{name}. 你的年龄是{age}.') +except TypeError: + print('发生了类型错误') +except ValueError: + print('发生了值错误') +except ZeroDivisionError: + print('发生了除零错误') +else: + print('我通常与try块一起运行') +finally: + print('我总是运行。') +``` + +```sh +输入你的名字:Asabeneh +你出生的年份:1920 +你是Asabeneh. 你的年龄是99. +我通常与try块一起运行 +我总是运行。 +``` + +也可以将上述代码简化如下： + +```py +try: + name = input('输入你的名字:') + year_born = input('你出生的年份:') + age = 2019 - int(year_born) + print(f'你是{name}. 你的年龄是{age}.') +except Exception as e: + print(e) +``` + +## Python中的打包和解包参数 + +我们使用两个操作符： + +- \* 用于元组 +- \*\* 用于字典 + +让我们看一个例子。假设函数只接受参数，但我们有一个列表。我们可以解包列表并将其转换为参数。 + +### 解包 + +#### 解包列表 + +```py +def sum_of_five_nums(a, b, c, d, e): + return a + b + c + d + e + +lst = [1, 2, 3, 4, 5] +print(sum_of_five_nums(lst)) # TypeError: sum_of_five_nums() missing 4 required positional arguments: 'b', 'c', 'd', and 'e' +``` + +当我们运行这段代码时，会引发错误，因为这个函数接受数字（而不是列表）作为参数。让我们解包/解构这个列表。 + +```py +def sum_of_five_nums(a, b, c, d, e): + return a + b + c + d + e + +lst = [1, 2, 3, 4, 5] +print(sum_of_five_nums(*lst)) # 15 +``` + +我们也可以在内置的range函数中使用解包，该函数需要一个起始和结束参数。 + +```py +numbers = range(2, 7) # 正常调用，使用单独的参数 +print(list(numbers)) # [2, 3, 4, 5, 6] +args = [2, 7] +numbers = range(*args) # 使用从列表解包的参数调用 +print(numbers) # [2, 3, 4, 5,6] +``` + +列表或元组也可以这样解包： + +```py +countries = ['Finland', 'Sweden', 'Norway', 'Denmark', 'Iceland'] +fin, sw, nor, *rest = countries +print(fin, sw, nor, rest) # Finland Sweden Norway ['Denmark', 'Iceland'] +numbers = [1, 2, 3, 4, 5, 6, 7] +one, *middle, last = numbers +print(one, middle, last) # 1 [2, 3, 4, 5, 6] 7 +``` + +#### 解包字典 + +```py +def unpacking_person_info(name, country, city, age): + return f'{name}住在{country}的{city}。他{age}岁。' +dct = {'name':'Asabeneh', 'country':'Finland', 'city':'Helsinki', 'age':250} +print(unpacking_person_info(**dct)) # Asabeneh住在Finland的Helsinki。他250岁。 +``` + +### 打包 + +有时候我们不知道需要向Python函数传递多少个参数。我们可以使用打包方法让我们的函数接受无限数量或任意数量的参数。 + +### 打包列表 + +```py +def sum_all(*args): + s = 0 + for i in args: + s += i + return s +print(sum_all(1, 2, 3)) # 6 +print(sum_all(1, 2, 3, 4, 5, 6, 7)) # 28 +``` + +#### 打包字典 + +```py +def packing_person_info(**kwargs): + # 检查kwargs的类型，它是一个字典类型 + # print(type(kwargs)) + # 打印字典项 + for key in kwargs: + print(f"{key} = {kwargs[key]}") + return kwargs + +print(packing_person_info(name="Asabeneh", + country="Finland", city="Helsinki", age=250)) +``` + +```sh +name = Asabeneh +country = Finland +city = Helsinki +age = 250 +{'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +``` + +## Python中的展开 + +与JavaScript类似，Python中也可以进行展开操作。让我们通过下面的例子来看看： + +```py +lst_one = [1, 2, 3] +lst_two = [4, 5, 6, 7] +lst = [0, *lst_one, *lst_two] +print(lst) # [0, 1, 2, 3, 4, 5, 6, 7] +``` + +## 枚举 + +如果我们对列表的索引感兴趣，我们使用enumerate内置函数。 + +```py +for index, item in enumerate([20, 30, 40]): + print(index, item) +``` + +```py +for index, i in enumerate(countries): + print('hi') + if i == 'Finland': + print('国家 {i} 位于索引 {index}') +``` + +```sh +0 20 +1 30 +2 40 +``` + +## Zip + +有时，我们可能需要将列表组合起来。看看以下示例： + +```py +fruits = ['banana', 'orange', 'mango', 'lemon', 'lime'] +vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] +fruits_and_veges = [] +for f, v in zip(fruits, vegetables): + fruits_and_veges.append({'fruit':f, 'veg':v}) + +print(fruits_and_veges) +``` + +```sh +[{'fruit': 'banana', 'veg': 'Tomato'}, {'fruit': 'orange', 'veg': 'Potato'}, {'fruit': 'mango', 'veg': 'Cabbage'}, {'fruit': 'lemon', 'veg': 'Onion'}, {'fruit': 'lime', 'veg': 'Carrot'}] +``` + +## 练习：第17天 + +1. 为名为 _countries_data.py_ 的文件中的数据创建一个名为 _countries.py_ 的函数。 + - 创建一个函数，找出十大使用的语言 + - 创建一个函数，找出十大人口最多的国家 + +🎉 恭喜！🎉 + +[<< 第 16 天](./16_python_datetime_cn.md) | [第 18 天 >>](./18_regular_expressions_cn.md) \ No newline at end of file diff --git a/Chinese/18_regular_expressions_cn.md b/Chinese/18_regular_expressions_cn.md new file mode 100644 index 000000000..53189a2e3 --- /dev/null +++ b/Chinese/18_regular_expressions_cn.md @@ -0,0 +1,417 @@ +# 30天Python编程挑战：第18天 - 正则表达式 + +- [第18天](#-第18天) + - [正则表达式](#正则表达式) + - [*re* 模块](#re-模块) + - [*re* 模块中的方法](#re-模块中的方法) + - [匹配](#匹配) + - [搜索](#搜索) + - [使用 *findall* 搜索所有匹配项](#使用-findall-搜索所有匹配项) + - [替换子字符串](#替换子字符串) + - [使用RegEx拆分文本](#使用regex拆分文本) + - [编写RegEx模式](#编写regex模式) + - [方括号](#方括号) + - [RegEx中的转义字符(\\)](#regex中的转义字符) + - [一次或多次(+)](#一次或多次) + - [句点(.)](#句点) + - [零次或多次(*)](#零次或多次) + - [零次或一次(?)](#零次或一次) + - [RegEx中的量词](#regex中的量词) + - [脱字符(^)](#脱字符) + - [💻 练习：第18天](#-练习第18天) + - [练习：级别1](#练习级别1) + - [练习：级别2](#练习级别2) + - [练习：级别3](#练习级别3) + +# 📘 第18天 + +## 正则表达式 + +正则表达式（RegEx）是一种特殊的文本字符串，有助于在数据中查找模式。RegEx可用于检查不同数据类型中是否存在某种模式。要在Python中使用RegEx，首先我们应该导入RegEx模块，该模块被称为*re*。 + +### *re* 模块 + +导入模块后，我们可以使用它来检测或查找模式。 + +```py +import re +``` + +### *re* 模块中的方法 + +要查找模式，我们使用不同的*re*字符集，这些字符集允许在字符串中搜索匹配项。 + +- *re.match()*：只在字符串的第一行开头搜索，如果找到则返回匹配的对象，否则返回None。 +- *re.search*：如果字符串中的任何地方（包括多行字符串）有匹配项，则返回匹配对象。 +- *re.findall*：返回包含所有匹配项的列表。 +- *re.split*：接受一个字符串，在匹配点处分割，返回一个列表。 +- *re.sub*：替换字符串中的一个或多个匹配项。 + +#### 匹配 + +```py +# 语法 +re.match(substring, string, re.I) +# substring是一个字符串或模式，string是我们查找模式的文本，re.I是忽略大小写 +``` + +```py +import re + +txt = 'I love to teach python and javaScript' +# 它返回一个带有span和match的对象 +match = re.match('I love to teach', txt, re.I) +print(match) # +# 我们可以使用span获取匹配的起始和结束位置，作为元组 +span = match.span() +print(span) # (0, 15) +# 让我们从span中找到起始和结束位置 +start, end = span +print(start, end) # 0, 15 +substring = txt[start:end] +print(substring) # I love to teach +``` + +从上面的例子可以看出，我们正在寻找的模式（或我们正在寻找的子字符串）是*I love to teach*。match函数**只有**在文本以该模式开头时才会返回一个对象。 + +```py +import re + +txt = 'I love to teach python and javaScript' +match = re.match('I like to teach', txt, re.I) +print(match) # None +``` + +该字符串不以*I like to teach*开头，因此没有匹配，match方法返回None。 + +#### 搜索 + +```py +# 语法 +re.match(substring, string, re.I) +# substring是一个模式，string是我们查找模式的文本，re.I是忽略大小写标志 +``` + +```py +import re + +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +# 它返回一个带有span和match的对象 +match = re.search('first', txt, re.I) +print(match) # +# 我们可以使用span获取匹配的起始和结束位置，作为元组 +span = match.span() +print(span) # (100, 105) +# 让我们从span中找到起始和结束位置 +start, end = span +print(start, end) # 100 105 +substring = txt[start:end] +print(substring) # first +``` + +如你所见，search比match好得多，因为它可以在整个文本中查找模式。Search返回找到的第一个匹配项的匹配对象，否则返回*None*。更好的*re*函数是*findall*。此函数检查整个字符串中的模式，并将所有匹配项作为列表返回。 + +#### 使用 *findall* 搜索所有匹配项 + +*findall()* 将所有匹配项作为列表返回 + +```py +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +# 它返回一个列表 +matches = re.findall('language', txt, re.I) +print(matches) # ['language', 'language'] +``` + +如你所见，单词*language*在字符串中被找到了两次。让我们再练习一些。 +现在我们将在字符串中查找Python和python这两个单词： + +```py +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +# 它返回一个列表 +matches = re.findall('python', txt, re.I) +print(matches) # ['Python', 'python'] + +``` + +由于我们使用*re.I*，所以包含了大小写字母。如果我们没有re.I标志，那么我们将不得不以不同的方式编写我们的模式。让我们来看看： + +```py +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +matches = re.findall('Python|python', txt) +print(matches) # ['Python', 'python'] + +# +matches = re.findall('[Pp]ython', txt) +print(matches) # ['Python', 'python'] + +``` + +#### 替换子字符串 + +```py +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +match_replaced = re.sub('Python|python', 'JavaScript', txt, re.I) +print(match_replaced) # JavaScript is the most beautiful language that a human being has ever created. +# 或者 +match_replaced = re.sub('[Pp]ython', 'JavaScript', txt, re.I) +print(match_replaced) # JavaScript is the most beautiful language that a human being has ever created. +``` + +让我们再添加一个例子。除非我们删除%符号，否则以下字符串真的很难阅读。用空字符串替换%将清理文本。 + +```py + +txt = '''%I a%m te%%a%%che%r% a%n%d %% I l%o%ve te%ach%ing. +T%he%re i%s n%o%th%ing as r%ewarding a%s e%duc%at%i%ng a%n%d e%m%p%ow%er%ing p%e%o%ple. +I fo%und te%a%ching m%ore i%n%t%er%%es%ting t%h%an any other %jobs. +D%o%es thi%s m%ot%iv%a%te %y%o%u to b%e a t%e%a%cher?''' + +matches = re.sub('%', '', txt) +print(matches) +``` + +```sh +I am teacher and I love teaching. +There is nothing as rewarding as educating and empowering people. +I found teaching more interesting than any other jobs. Does this motivate you to be a teacher? +``` + +## 使用RegEx拆分文本 + +```py +txt = '''I am teacher and I love teaching. +There is nothing as rewarding as educating and empowering people. +I found teaching more interesting than any other jobs. +Does this motivate you to be a teacher?''' +print(re.split('\n', txt)) # 使用\n分割 - 行尾符号 +``` + +```sh +['I am teacher and I love teaching.', 'There is nothing as rewarding as educating and empowering people.', 'I found teaching more interesting than any other jobs.', 'Does this motivate you to be a teacher?'] +``` + +## 编写RegEx模式 + +要声明字符串变量，我们使用单引号或双引号。要声明RegEx变量，使用*r''*。 +以下模式仅识别小写的apple，要使其不区分大小写，我们应该重写模式或添加标志。 + +```py +import re + +regex_pattern = r'apple' +txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away. ' +matches = re.findall(regex_pattern, txt) +print(matches) # ['apple'] + +# 要使其不区分大小写，添加标志' +matches = re.findall(regex_pattern, txt, re.I) +print(matches) # ['Apple', 'apple'] +# 或者我们可以使用一组字符方法 +regex_pattern = r'[Aa]pple' # 这意味着第一个字母可以是Apple或apple +matches = re.findall(regex_pattern, txt) +print(matches) # ['Apple', 'apple'] + +``` + +* []: 一组字符 + - [a-c] 表示，a或b或c + - [a-z] 表示，从a到z的任何字母 + - [A-Z] 表示，从A到Z的任何字符 + - [0-3] 表示，0或1或2或3 + - [0-9] 表示从0到9的任何数字 + - [A-Za-z0-9] 任何单个字符，即a到z，A到Z或0到9 + +### 方括号 + +让我们使用方括号练习更多的模式。记得，我们使用*re.I*作为标志，使搜索不区分大小写。 + +```py +regex_pattern = r'[Aa]pple|[Bb]anana' # 这意味着Apple或apple或Banana或banana +txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away.' +matches = re.findall(regex_pattern, txt) +print(matches) # ['Apple', 'banana', 'apple', 'banana'] + +``` + +使用方括号和管道。 +```py +regex_pattern = r'[a-zA-Z0-9]' # 这个方括号表示 a 到 z, A 到 Z, 0 到 9 +txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away.' +matches = re.findall(regex_pattern, txt) +print(matches) # ['A', 'p', 'p', 'l', 'e', 'a', 'n', 'd', 'b', 'a', 'n', 'a', 'n', 'a', 'a', 'r', 'e',...] + +regex_pattern = r'\d' # d 是一个特殊字符，表示数字 +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2', '0', '1', '9', '8', '2', '0', '2', '1'] + +regex_pattern = r'\d+' # d 是一个特殊字符，表示数字，+ 表示一个或多个 +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2019', '8', '2021'] +``` + +### RegEx中的转义字符(\\) + +```py +regex_pattern = r'\d+' # d 是一个特殊字符，表示数字，+ 表示一个或多个 +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2019', '8', '2021'] +``` + +要查找 \ 本身，我们应该使用双倍反斜杠： +```py +regex_pattern = r'\\d' # 这意味着寻找 \d +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # [] +``` + +当我们在字符串中没有任何与 \d 匹配的内容时，找不到任何匹配项。 + +### 一次或多次(+) + +```py +regex_pattern = r'\d+' # d 是一个特殊字符，表示数字，+ 表示一个或多个 +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2019', '8', '2021'] +``` + +### 句点(.) + +```py +regex_pattern = r'[a].' # 这个方括号表示 a 和 . 表示任何字符，除了新行 +txt = '''Apple and banana are fruits''' +matches = re.findall(regex_pattern, txt) +print(matches) # ['an', 'an', 'an', 'a ', 'ar'] + +regex_pattern = r'[a].+' # . 任何字符，+ 任何字符一次或多次 +matches = re.findall(regex_pattern, txt) +print(matches) # ['and banana are fruits'] +``` + +### 零次或多次(*) + +零次或多次。这个例子不太明显，所以请慢慢看。 + +```py +regex_pattern = r'[a].*' # . 任何字符，* 任何字符零次或多次 +txt = '''Apple and banana are fruits''' +matches = re.findall(regex_pattern, txt) +print(matches) # ['and banana are fruits'] +``` + +### 零次或一次(?) + +零次或一次。它可以存在，也可以不存在。 + +```py +txt = '''I am not sure if there is a convention how to write the word e-mail. +Some people write it as email others may write it as Email or E-mail.''' +regex_pattern = r'[Ee]-?mail' # ? 表示零次或一次 +matches = re.findall(regex_pattern, txt) +print(matches) # ['e-mail', 'email', 'Email', 'E-mail'] +``` + +### RegEx中的量词 + +使用大括号，我们可以指定模式的长度 +```py +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'\d{4}' # 正好有四位数的数字 +matches = re.findall(regex_pattern, txt) +print(matches) # ['2019', '2021'] + +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'\d{1,4}' # 1到4位数的数字 +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2019', '8', '2021'] +``` + +### 脱字符(^) + +- 以什么开始 + +```py +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'^This' # ^ 表示以 This 开始 +matches = re.findall(regex_pattern, txt) +print(matches) # ['This'] +``` + +- 否定 + +```py +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'[^A-Za-z ]+' # ^ 在方括号内表示否定，不是A-Z，不是a-z，不是空格 +matches = re.findall(regex_pattern, txt) +print(matches) # ['6,', '2019', '8,', '2021'] +``` + +## 💻 练习：第18天 + +### 练习：级别1 + +1. 什么是正则表达式？ +2. 正则表达式的变量是什么？ +3. 重新创建字符串模式，这些模式可以： + a) 查找对带有*才能*的字符串的引用，在一本书中 + b) 找出日期格式为 _DD-MM-YYYY_，例如12-01-2021 + c) 找出文本中动词的时态为ing + +### 练习：级别2 + +1. 编写一个模式，用于识别表示有效Python变量名的字符串 +2. 从以下文本中清除HTML标签。 +```python +text = ''' +HTML +Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript. + +Web browsers receive HTML documents from a web server or from local storage and render the documents into multimedia web pages. HTML describes the structure of a web page semantically and originally included cues for the appearance of the document. + +HTML elements are the building blocks of HTML pages. With HTML constructs, images and other objects such as interactive forms may be embedded into the rendered page. HTML provides a means to create structured documents by denoting structural semantics for text such as headings, paragraphs, lists, links, quotes and other items. HTML elements are delineated by tags, written using angle brackets. Tags such as and directly introduce content into the page. Other tags such as

    surround and provide information about document text and may include other tags as sub-elements. Browsers do not display the HTML tags, but use them to interpret the content of the page. + +HTML can embed programs written in a scripting language such as JavaScript, which affects the behavior and content of web pages. Inclusion of CSS defines the look and layout of content. The World Wide Web Consortium (W3C), former maintainer of the HTML and current maintainer of the CSS standards, has encouraged the use of CSS over explicit presentational HTML since 1997. +''' +``` + +### 练习：级别3 + +1. 清理以下文本。在清理过程后，计算最常见的三个单词是什么。 + +```python + + paragraph = '''I love teaching. If you do not love teaching what else can you love. I love Python if you do not love something which can give you all the capabilities to develop an application what else can you love.''' + +``` + +2. 下面的文本包含了几个电子邮件地址。编写一个可以查找或提取电子邮件地址的模式。 + +```py +email_address = ''' +asabeneh@gmail.com +alex@yahoo.com +kofi@yahoo.com +doe@arc.gov +asabeneh.com +asabeneh@gmail +alex@yahoo +''' +``` + +🎉 恭喜！🎉 + +[<< 第 17 天](./17_exception_handling_cn.md) | [第 19 天 >>](./19_file_handling_cn.md) \ No newline at end of file diff --git a/Chinese/19_file_handling_cn.md b/Chinese/19_file_handling_cn.md new file mode 100644 index 000000000..6871a2aa6 --- /dev/null +++ b/Chinese/19_file_handling_cn.md @@ -0,0 +1,549 @@ +# 30天Python编程挑战：第19天 - 文件处理 + +- [第19天](#-第19天) + - [文件处理](#文件处理) + - [打开文件进行读取](#打开文件进行读取) + - [打开文件进行写入和更新](#打开文件进行写入和更新) + - [删除文件](#删除文件) + - [文件类型](#文件类型) + - [带有txt扩展名的文件](#带有txt扩展名的文件) + - [带有json扩展名的文件](#带有json扩展名的文件) + - [将JSON转换为字典](#将json转换为字典) + - [将字典转换为JSON](#将字典转换为json) + - [保存为JSON文件](#保存为json文件) + - [带有csv扩展名的文件](#带有csv扩展名的文件) + - [带有xlsx扩展名的文件](#带有xlsx扩展名的文件) + - [带有xml扩展名的文件](#带有xml扩展名的文件) + - [💻 练习：第19天](#-练习第19天) + - [练习：级别1](#练习级别1) + - [练习：级别2](#练习级别2) + - [练习：级别3](#练习级别3) + +# 📘 第19天 + +## 文件处理 + +到目前为止，我们已经了解了不同的Python数据类型。我们通常在不同的文件格式中存储数据。除了处理文件外，在本节中我们还将看到不同的文件格式（.txt、.json、.xml、.csv、.tsv、.excel）。首先，让我们熟悉使用常见文件格式（.txt）处理文件。 + +文件处理是编程的重要部分，它允许我们创建、读取、更新和删除文件。在Python中，处理数据我们使用内置函数 _open()_。 + +```py +# 语法 +open('filename', mode) # mode(r, a, w, x, t, b) 可以是读取、写入、更新 +``` + +- "r" - 读取 - 默认值。打开文件进行读取，如果文件不存在则返回错误 +- "a" - 追加 - 打开文件进行追加，如果文件不存在则创建文件 +- "w" - 写入 - 打开文件进行写入，如果文件不存在则创建文件 +- "x" - 创建 - 创建指定的文件，如果文件已存在则返回错误 +- "t" - 文本 - 默认值。文本模式 +- "b" - 二进制 - 二进制模式（例如图像） + +### 打开文件进行读取 + +_open_ 的默认模式是读取，因此我们不必指定'r'或'rt'。我已经在files目录中创建并保存了一个名为reading_file_example.txt的文件。让我们看看它是如何完成的： + +```py +f = open('./files/reading_file_example.txt') +print(f) # <_io.TextIOWrapper name='./files/reading_file_example.txt' mode='r' encoding='UTF-8'> +``` + +如上例所示，我打印了打开的文件，它提供了一些关于文件的信息。已打开的文件有不同的读取方法：_read()_、_readline_、_readlines_。打开的文件必须用 _close()_ 方法关闭。 + +- _read()_：将整个文本作为字符串读取。如果我们想限制想要读取的字符数，可以通过向 *read(number)* 方法传递int值来限制。 + +```py +f = open('./files/reading_file_example.txt') +txt = f.read() +print(type(txt)) +print(txt) +f.close() +``` + +```sh +# 输出 + +This is an example to show how to open a file and read. +This is the second line of the text. +``` + +与其打印所有文本，不如打印文本文件的前10个字符。 + +```py +f = open('./files/reading_file_example.txt') +txt = f.read(10) +print(type(txt)) +print(txt) +f.close() +``` + +```sh +# 输出 + +This is an +``` + +- _readline()_：只读取第一行 + +```py +f = open('./files/reading_file_example.txt') +line = f.readline() +print(type(line)) +print(line) +f.close() +``` + +```sh +# 输出 + +This is an example to show how to open a file and read. +``` + +- _readlines()_：逐行读取所有文本，并返回一个行列表 + +```py +f = open('./files/reading_file_example.txt') +lines = f.readlines() +print(type(lines)) +print(lines) +f.close() +``` + +```sh +# 输出 + +['This is an example to show how to open a file and read.\n', 'This is the second line of the text.'] +``` + +获取所有行作为列表的另一种方法是使用 _splitlines()_： + +```py +f = open('./files/reading_file_example.txt') +lines = f.read().splitlines() +print(type(lines)) +print(lines) +f.close() +``` + +```sh +# 输出 + +['This is an example to show how to open a file and read.', 'This is the second line of the text.'] +``` + +在打开文件后，我们应该关闭它。我们很容易忘记关闭它们。有一种使用 _with_ 打开文件的新方法——它会自动关闭文件。让我们用 _with_ 方法重写前面的例子： + +```py +with open('./files/reading_file_example.txt') as f: + lines = f.read().splitlines() + print(type(lines)) + print(lines) +``` + +```sh +# 输出 + +['This is an example to show how to open a file and read.', 'This is the second line of the text.'] +``` + +### 打开文件进行写入和更新 + +要写入现有文件，我们必须向 _open()_ 函数添加模式作为参数： + +- "a" - 追加 - 将在文件末尾追加，如果文件不存在则创建一个新文件。 +- "w" - 写入 - 将覆盖任何现有内容，如果文件不存在则创建。 + +让我们在我们一直在读取的文件中追加一些文本： + +```py +with open('./files/reading_file_example.txt','a') as f: + f.write('此文本必须附加在末尾') +``` + +如果文件不存在，以下方法将创建一个新文件： + +```py +with open('./files/writing_file_example.txt','w') as f: + f.write('这段文本将被写入新创建的文件中') +``` + +### 删除文件 + +我们在前面的部分中已经看到，如何使用 _os_ 模块创建和删除目录。现在，如果我们想删除一个文件，我们也使用 _os_ 模块。 + +```py +import os +os.remove('./files/example.txt') + +``` + +如果文件不存在，remove方法将引发错误，因此最好使用条件语句： + +```py +import os +if os.path.exists('./files/example.txt'): + os.remove('./files/example.txt') +else: + print('文件不存在') +``` + +## 文件类型 + +### 带有txt扩展名的文件 + +带有 _txt_ 扩展名的文件是一种非常常见的数据形式，我们已经在前面的部分中介绍了它。让我们转到JSON文件。 + +### 带有json扩展名的文件 + +JSON代表JavaScript对象表示法。实际上，它是一个字符串化的JavaScript对象或Python字典。 + +_示例:_ + +```py +# 字典 +person_dct= { + "name":"Asabeneh", + "country":"Finland", + "city":"Helsinki", + "skills":["JavaScript", "React","Python"] +} +# JSON: 字典的字符串形式 +person_json = "{'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'skills': ['JavaScrip', 'React', 'Python']}" + +# 我们使用三个引号并使其多行以使其更具可读性 +person_json = '''{ + "name":"Asabeneh", + "country":"Finland", + "city":"Helsinki", + "skills":["JavaScript", "React","Python"] +}''' +``` + +### 将JSON转换为字典 + +要将JSON更改为字典，首先我们导入json模块，然后使用 _loads_ 方法。 + +```py +import json +# JSON +person_json = '''{ + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "skills": ["JavaScript", "React", "Python"] +}''' +# 将JSON字符串更改为字典 +person_dct = json.loads(person_json) +print(type(person_dct)) +print(person_dct) +print(person_dct['name']) +``` + +```sh +# 输出 + +{'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'skills': ['JavaScrip', 'React', 'Python']} +Asabeneh +``` + +### 将字典转换为JSON + +要将字典更改为JSON，我们使用 _dumps_ 方法。 + +```py +import json +# python字典 +person = { + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "skills": ["JavaScript", "React", "Python"] +} +# 将字典转换为JSON字符串 +person_json = json.dumps(person, indent=4) # indent可以是2, 4, 8. 它漂亮地打印了。 +print(type(person_json)) +print(person_json) +``` + +```sh +# 输出 + +{ + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "skills": [ + "JavaScript", + "React", + "Python" + ] +} +``` + +### 保存为JSON文件 + +我们也可以将我们的数据保存为JSON文件。让我们使用前面的示例保存： + +```py +import json +# python字典 +person = { + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "skills": ["JavaScript", "React", "Python"] +} +with open('./files/json_example.json', 'w', encoding='utf-8') as f: + json.dump(person, f, ensure_ascii=False, indent=4) +``` + +在上面的代码中，我们使用了编码和确保_ascii参数。这些参数是为了保存非ASCII字符，如果我们想保存非英语字符。下面是一个包含非ASCII字符的示例： + +```py +import json +# python字典 +person = { + "name": "张三", + "country": "中国", + "city": "北京", + "skills": ["JavaScript", "React", "Python"] +} +with open('./files/json_example.json', 'w', encoding='utf-8') as f: + json.dump(person, f, ensure_ascii=False, indent=4) +``` + +现在，让我们读取我们刚刚创建的json文件： + +```py +import json +with open('./files/json_example.json', 'r', encoding='utf-8') as f: + person = json.load(f) + print(person) +``` + +```sh +# 输出 +{'name': '张三', 'country': '中国', 'city': '北京', 'skills': ['JavaScript', 'React', 'Python']} +``` + +### 带有csv扩展名的文件 + +CSV代表逗号分隔值。CSV是一种简单的文件格式，用于存储表格数据，如电子表格或数据库。CSV是数据科学中非常常见的数据格式。 + +**示例：** + +```csv +"name","country","city","skills" +"Asabeneh","Finland","Helsinki","JavaScript" +``` + +**示例：** + +```py +import csv +with open('./files/csv_example.csv') as f: + csv_reader = csv.reader(f, delimiter=',') # w+ 创建文件（如果不存在） + line_count = 0 + for row in csv_reader: + if line_count == 0: + print(f'列名为: {", ".join(row)}') + line_count += 1 + else: + print(f'{row[0]}来自{row[1]}的{row[2]}。 他了解{row[3]}') + line_count += 1 + print(f'已处理{line_count}行。') +``` + +```sh +# 输出: +列名为: name, country, city, skills +Asabeneh来自Finland的Helsinki。 他了解JavaScript +已处理2行。 +``` + +我们还可以使用相同的方法将数据写入csv文件 + +```py +import csv +with open('./files/csv_example.csv', 'w', encoding='UTF8', newline='') as f: + writer = csv.writer(f) + # 写入列名 + writer.writerow(['name', 'country', 'city', 'skills']) + # 写入数据 + writer.writerow(['Asabeneh', 'Finland', 'Helsinki', 'JavaScript']) +``` + +### 带有xlsx扩展名的文件 + +要读取Excel文件，我们需要安装xlrd包。我们将使用它来读取Excel文件。 + +```py +import xlrd +excel_book = xlrd.open_workbook('sample.xls') +print(excel_book.nsheets) +print(excel_book.sheet_names) +``` + +### 带有xml扩展名的文件 + +XML是一种元标记语言，非常类似于HTML。在XML中，我们可以使用自己的标签，从而使其更加灵活。我们使用XML主要是为了结构化数据。在Python中有少量的XML库。在本部分中，我们将使用xml.etree.ElementTree模块。 + +**示例：XML** + +```xml + + + Asabeneh + Finland + Helsinki + + JavaScript + React + Python + + +``` + +我们将使用xml.etree.ElementTree模块来解析XML文件。 + +```py +import xml.etree.ElementTree as ET +tree = ET.parse('./files/xml_example.xml') +root = tree.getroot() +print('Root tag:', root.tag) +print('Attribute:', root.attrib) +for child in root: + print('字段: ', child.tag) +``` + +```sh +# 输出 +Root tag: person +Attribute: {'gender': 'female'} +字段: name +字段: country +字段: city +字段: skills +``` + +```py +import xml.etree.ElementTree as ET +tree = ET.parse('./files/xml_example.xml') +root = tree.getroot() +print('Root tag:', root.tag) +print('Attribute:', root.attrib) +for child in root: + print('字段: ', child.tag) +``` + +```sh +# 输出 +Root tag: person +Attribute: {'gender': 'female'} +字段: name +字段: country +字段: city +字段: skills +``` + +让我们获取更多细节： + +```py +import xml.etree.ElementTree as ET +tree = ET.parse('./files/xml_example.xml') +root = tree.getroot() +print('Root tag:', root.tag) +print('Attribute:', root.attrib) +for child in root: + print('field: ', child.tag) + if child.tag != 'skills': + print(child.text) + else: + for skill in child: + print(skill.text) +``` + +```sh +# 输出 +Root tag: person +Attribute: {'gender': 'female'} +field: name +Asabeneh +field: country +Finland +field: city +Helsinki +field: skills +JavaScript +React +Python +``` + +## 💻 练习：第19天 + +### 练习：级别1 + +1. 编写一个函数，该函数需要一个参数（文件名）并统计文件中单词的数量 +2. 阅读obama_speech.txt文件并计算单词数 +3. 阅读michelle_obama_speech.txt文件并计算单词数 +4. 阅读donald_speech.txt文件并计算单词数 +5. 阅读melina_trump_speech.txt文件并计算单词数 + +### 练习：级别2 + +1. 从编程语言中提取所有Python目录文件： + a) 处理30DaysOfPython文件夹，提取出所有python文件，并将它们的名称存储在files_list.txt文件中 + b) 创建一个名为find_python.py的脚本，可以通过命令行运行它 + c) 添加一个名为--version的标志来处理命令行参数 + +### 练习：级别3 + +1. 使用以下数据集创建一个JSON文件： + ```py + python_libraries = [ + { + "库名称": "Django", + "创建者": "Adrian Holovaty", + "首次发布年份": 2005, + "版本": "4.0.2", + "用途": "Web开发", + "描述": "Django让您可以快速构建更好的Web应用程序。" + }, + { + "库名称": "Flask", + "创建者": "Armin Ronacher", + "首次发布年份": 2010, + "版本": "2.0.2", + "用途": "Web开发", + "描述": "Flask是一个轻量级的WSGI Web应用程序框架。" + }, + { + "库名称": "NumPy", + "创建者": "Travis Oliphant", + "首次发布年份": 2005, + "版本": "1.22.0", + "用途": "科学计算", + "描述": "NumPy是Python中用于科学计算的基础包。" + }, + { + "库名称": "Pandas", + "创建者": "Wes McKinney", + "首次发布年份": 2008, + "版本": "1.4.0", + "用途": "数据分析", + "描述": "pandas是一个用于数据分析和数据操作的开源库。" + }, + { + "库名称": "Matplotlib", + "创建者": "John D. Hunter", + "首次发布年份": 2003, + "版本": "3.5.1", + "用途": "数据可视化", + "描述": "Matplotlib是一个用于在Python中创建静态、动画和交互式可视化的库。" + } + ] + ``` + +🎉 恭喜！🎉 + +[<< 第 18 天](./18_regular_expressions_cn.md) | [第 20 天 >>](./20_python_package_manager_cn.md) \ No newline at end of file diff --git a/Chinese/20_python_package_manager_cn.md b/Chinese/20_python_package_manager_cn.md new file mode 100644 index 000000000..10bb51537 --- /dev/null +++ b/Chinese/20_python_package_manager_cn.md @@ -0,0 +1,352 @@ +# 30天Python编程挑战：第20天 - PIP + +- [第20天](#-第20天) + - [Python PIP - Python包管理器](#python-pip---python包管理器) + - [什么是PIP？](#什么是pip) + - [安装PIP](#安装pip) + - [使用pip安装包](#使用pip安装包) + - [卸载包](#卸载包) + - [包列表](#包列表) + - [显示包信息](#显示包信息) + - [PIP Freeze](#pip-freeze) + - [从URL读取数据](#从url读取数据) + - [创建包](#创建包) + - [关于包的更多信息](#关于包的更多信息) + - [练习：第20天](#练习第20天) + +# 📘 第20天 + +## Python PIP - Python包管理器 + +### 什么是PIP？ + +PIP代表首选安装程序(Preferred installer program)。我们使用_pip_来安装不同的Python包。 +包是一个Python模块，可以包含一个或多个模块或其他包。我们可以安装到应用程序中的模块或模块集合就是一个包。 +在编程中，我们不必编写每个实用程序，而是安装包并将它们导入到我们的应用程序中。 + +### 安装PIP + +如果你还没有安装pip，让我们现在安装它。转到你的终端或命令提示符，复制并粘贴： + +```sh +asabeneh@Asabeneh:~$ pip install pip +``` + +通过以下命令检查pip是否已安装： + +```sh +pip --version +``` + +```py +asabeneh@Asabeneh:~$ pip --version +pip 21.1.3 from /usr/local/lib/python3.7/site-packages/pip (python 3.9.6) +``` + +如你所见，我正在使用pip 21.1.3版本，如果你看到的数字比这个稍低或稍高，说明你已经安装了pip。 + +让我们了解一下Python社区中用于不同目的的一些包。请注意，有很多可用于不同应用程序的包。 + +### 使用pip安装包 + +让我们尝试安装_numpy_，即数值Python。它是机器学习和数据科学社区中最流行的包之一。 + +- NumPy是Python科学计算的基础包。它包含以下内容： + - 强大的N维数组对象 + - 复杂的（广播）函数 + - 用于集成C/C++和Fortran代码的工具 + - 有用的线性代数、傅里叶变换和随机数功能 + +```sh +asabeneh@Asabeneh:~$ pip install numpy +``` + +让我们开始使用numpy。打开你的Python交互式shell，输入python，然后按如下方式导入numpy： + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import numpy +>>> numpy.version.version +'1.20.1' +>>> lst = [1, 2, 3,4, 5] +>>> np_arr = numpy.array(lst) +>>> np_arr +array([1, 2, 3, 4, 5]) +>>> len(np_arr) +5 +>>> np_arr * 2 +array([ 2, 4, 6, 8, 10]) +>>> np_arr + 2 +array([3, 4, 5, 6, 7]) +>>> +``` + +Pandas是一个开源的、BSD许可的库，为Python编程语言提供高性能、易用的数据结构和数据分析工具。让我们安装numpy的"大兄弟"_pandas_： + +```sh +asabeneh@Asabeneh:~$ pip install pandas +``` + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import pandas +``` + +这一节不是关于numpy或pandas的，我们在这里尝试学习如何安装包以及如何导入它们。如果需要，我们将在其他章节讨论不同的包。 + +让我们导入一个Web浏览器模块，它可以帮助我们打开任何网站。我们不需要安装这个模块，它已经默认安装在Python 3中。例如，如果你想随时打开任意数量的网站，或者如果你想安排某些事情，可以使用这个_webbrowser_模块。 + +```py +import webbrowser # web浏览器模块用于打开网站 + +# 网址列表：Python +url_lists = [ + 'http://www.python.org', + 'https://www.linkedin.com/in/asabeneh/', + 'https://github.com/Asabeneh', + 'https://twitter.com/Asabeneh', +] + +# 在不同的标签页中打开上面的网站列表 +for url in url_lists: + webbrowser.open_new_tab(url) +``` + +### 卸载包 + +如果你不想保留已安装的包，可以使用以下命令删除它们。 + +```sh +pip uninstall packagename +``` + +### 包列表 + +要查看我们机器上已安装的包，我们可以使用pip后跟list。 + +```sh +pip list +``` + +### 显示包信息 + +要显示有关包的信息： + +```sh +pip show packagename +``` + +```sh +asabeneh@Asabeneh:~$ pip show pandas +Name: pandas +Version: 1.2.3 +Summary: Powerful data structures for data analysis, time series, and statistics +Home-page: http://pandas.pydata.org +Author: None +Author-email: None +License: BSD +Location: /usr/local/lib/python3.7/site-packages +Requires: python-dateutil, pytz, numpy +Required-by: +``` + +如果我们想要更多的详细信息，只需添加--verbose + +```sh +asabeneh@Asabeneh:~$ pip show --verbose pandas +Name: pandas +Version: 1.2.3 +Summary: Powerful data structures for data analysis, time series, and statistics +Home-page: http://pandas.pydata.org +Author: None +Author-email: None +License: BSD +Location: /usr/local/lib/python3.7/site-packages +Requires: numpy, pytz, python-dateutil +Required-by: +Metadata-Version: 2.1 +Installer: pip +Classifiers: + Development Status :: 5 - Production/Stable + Environment :: Console + Operating System :: OS Independent + Intended Audience :: Science/Research + Programming Language :: Python + Programming Language :: Python :: 3 + Programming Language :: Python :: 3.5 + Programming Language :: Python :: 3.6 + Programming Language :: Python :: 3.7 + Programming Language :: Python :: 3.8 + Programming Language :: Cython + Topic :: Scientific/Engineering +Entry-points: + [pandas_plotting_backends] + matplotlib = pandas:plotting._matplotlib +``` + +### PIP Freeze + +生成已安装的Python包及其版本，输出适合在requirements文件中使用。requirements.txt文件是一个包含Python项目中所有已安装的Python包的文件。 + +```sh +asabeneh@Asabeneh:~$ pip freeze +docutils==0.11 +Jinja2==2.7.2 +MarkupSafe==0.19 +Pygments==1.6 +Sphinx==1.2.2 +``` + +pip freeze给我们列出了使用的、已安装的包及其版本。我们将它与requirements.txt文件一起用于部署。 + +### 从URL读取数据 + +到目前为止，你已经熟悉了如何读取或写入位于本地机器上的文件。有时，我们想要使用url从网站或API读取数据。 +API代表应用程序编程接口。它是一种在服务器之间交换结构化数据的方式，主要是json数据。要打开网络连接，我们需要一个名为_requests_的包——它允许打开网络连接并实现CRUD（创建、读取、更新和删除）操作。在本节中，我们将只涵盖CRUD的读取或获取部分。 + +让我们安装_requests_： + +```py +asabeneh@Asabeneh:~$ pip install requests +``` + +我们将在_requests_模块中看到_get_、_status_code_、_headers_、_text_和_json_方法： + - _get()_：打开网络并从url获取数据——它返回一个响应对象 + - _status_code_：在我们获取数据后，我们可以检查操作的状态（成功、错误等） + - _headers_：检查头部类型 + - _text_：从获取的响应对象中提取文本 + - _json_：提取json数据 +让我们从这个网站读取一个txt文件，https://www.w3.org/TR/PNG/iso_8859-1.txt。 + +```py +import requests # 导入请求模块 + +url = 'https://www.w3.org/TR/PNG/iso_8859-1.txt' # 来自网站的文本 + +response = requests.get(url) # 打开网络并获取数据 +print(response) +print(response.status_code) # 状态码，成功时为200 +print(response.headers) # 获取响应的头部信息 +print(response.text) # 获取文本数据 +``` + +让我们读取一个API并得到一个json数据： + +```py +import requests +url = 'https://restcountries.eu/rest/v2/all' # 包含关于250多个国家的信息的国家API +response = requests.get(url) # 打开网络并获取数据 +print(response) # 响应对象 +print(response.status_code) # 状态码，成功时为200 +countries = response.json() +print(countries[:1]) # 我们只打印第一个国家信息，原始数据太大 +``` + +我们用一个国家API示例获取了json数据。我们可以导入json模块，并使用json.loads(response.text)方法将文本转换为json格式。然而，我们也可以直接使用response.json()方法。 + +Let us see another example similar to the above but with a different API, world_bank_ethiopia data: +让我们看另一个类似于上面的例子，但使用不同的API，世界银行埃塞俄比亚数据： + +```py +import requests +from pprint import pp # 导入pretty print，以美观地显示 + +url = 'http://api.worldbank.org/countries/et?format=json' # 埃塞俄比亚经济数据API +response = requests.get(url) # 打开网络并获取数据 +print(response) # 响应对象 +print(response.status_code) # 状态码，成功时为200 +# 让我们改变响应的JSON格式 +ethiopia_data = response.json() +pp(ethiopia_data) # 用pretty print打印数据 +``` + +### 创建包 + +我们可以创建自己的包，上传到Python包管理器仓库，并从那里下载它。让我们创建一个非常简单的包来演示。创建一个名为mypackage的目录，在该目录中创建一个名为__init__.py的空文件和以下文件： + +```py +# mypackage/arithmetics.py +def add_numbers(*args): + total = 0 + for num in args: + total += num + return total + +def subtract(a, b): + return (a - b) + +def multiple(a, b): + return a * b + +def division(a, b): + return a / b + +def remainder(a, b): + return a % b + +def power(a, b): + return a ** b +``` + +```py +# mypackage/greet.py +def greet_person(firstname, lastname): + return f'{firstname} {lastname}, welcome to 30DaysOfPython Challenge!' +``` + +__init__.py在python 3.3及更高版本中并非绝对必要，但对于兼容性，最好加上。 + +现在，让我们使用刚刚创建的包： + +```py +from mypackage import arithmetics +print(arithmetics.add_numbers(1, 2, 3, 5)) +print(arithmetics.subtract(5, 3)) +print(arithmetics.multiple(5, 3)) +print(arithmetics.division(5, 3)) +print(arithmetics.remainder(5, 3)) +print(arithmetics.power(5, 3)) + +from mypackage import greet +print(greet.greet_person('张', '三')) +``` + +### 关于包的更多信息 + +- Python有许多不同目的的内置包和模块，但有些不包含在内置包中，我们需要安装它们。 +- 有多种方法可以安装包，但建议使用pip。 + - 使用 pip：pip是Python、PyPI和virtualenv推荐的安装和管理Python包的工具。 +- 如何列出已安装的包： + - pip list：列出机器中安装的所有包。 +- 使用requirements.txt进行开发环境和生产环境： + - 要生成已安装包的列表：pip freeze来本地生成已安装包的列表，以便用于开发环境和生产环境需求。 +- 如何卸载包： + - 要卸载，请使用pip：pip uninstall packagename。 + - 另一种方法：pip uninstall -r requirements.txt卸载在requirements.txt中列出的所有包。 +- 使用virtualenv： + - virtualenv是一个工具，用于创建隔离的Python环境。它创建一个在自己的目录树中包含所有必要的可执行文件，以使用指定版本的Python运行Python项目所需的包。 + - 原始的virtualenv工具可以通过 + - pip install virtualenv + - 来安装。 + +## 练习：第20天 + +1. 阅读关于虚拟环境的更多信息，尝试创建虚拟环境并安装至少一个包 + +2. 使用一个国家API，获取所有国家信息，并找出前十个人口最多的国家 + +3. 从国家API数据中找出官方语言是英语(eng)的所有国家 + +4. 从国家API数据中获取数据，根据国家的面积找出前十个最大的国家 + +5. 从国家API数据中找出所有从新列出的国家，按他们的首都排序 + +🎉 恭喜！🎉 + +[<< 第 19 天](./19_file_handling_cn.md) | [第 21 天 >>](./21_classes_and_objects_cn.md) \ No newline at end of file diff --git a/Chinese/21_classes_and_objects_cn.md b/Chinese/21_classes_and_objects_cn.md new file mode 100644 index 000000000..ac0fa4de8 --- /dev/null +++ b/Chinese/21_classes_and_objects_cn.md @@ -0,0 +1,419 @@ +# 30天Python编程挑战：第21天 - 类和对象 + +- [第21天](#-第21天) + - [类和对象](#类和对象) + - [创建类](#创建类) + - [创建对象](#创建对象) + - [类构造函数](#类构造函数) + - [对象方法](#对象方法) + - [对象默认方法](#对象默认方法) + - [修改类默认值的方法](#修改类默认值的方法) + - [继承](#继承) + - [覆盖父类方法](#覆盖父类方法) + - [💻 练习：第21天](#-练习第21天) + - [练习：级别1](#练习级别1) + - [练习：级别2](#练习级别2) + - [练习：级别3](#练习级别3) + +# 📘 第21天 + +## 类和对象 + +Python是一种面向对象的编程语言。在Python中，一切都是对象，都有其属性和方法。在程序中使用的数字、字符串、列表、字典、元组、集合等都是相应内置类的对象。我们创建类来创建对象。类就像一个对象构造器，或者说是创建对象的"蓝图"。我们实例化一个类来创建一个对象。类定义了对象的属性和行为，而对象则代表了类。 + +从这个挑战的开始，我们就一直在不知不觉地使用类和对象。Python程序中的每个元素都是某个类的对象。 +让我们检查一下Python中的一切是否都是类： + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> num = 10 +>>> type(num) + +>>> string = 'string' +>>> type(string) + +>>> boolean = True +>>> type(boolean) + +>>> lst = [] +>>> type(lst) + +>>> tpl = () +>>> type(tpl) + +>>> set1 = set() +>>> type(set1) + +>>> dct = {} +>>> type(dct) + +``` + +### 创建类 + +要创建一个类，我们需要关键字**class**，后跟类名和冒号。类名应该使用**驼峰命名法（CamelCase）**。 + +```sh +# 语法 +class 类名: + 代码放在这里 +``` + +**示例：** + +```py +class Person: + pass +print(Person) +``` + +```sh +<__main__.Person object at 0x10804e510> +``` + +### 创建对象 + +我们可以通过调用类来创建对象。 + +```py +p = Person() +print(p) +``` + +### 类构造函数 + +在上面的例子中，我们已经从Person类创建了一个对象。然而，没有构造函数的类在实际应用中并不真正有用。让我们使用构造函数使我们的类更有用。与Java或JavaScript中的构造函数一样，Python也有一个内置的**__init__**()构造函数。**__init__**构造函数有一个self参数，它是当前类实例的引用。 +**示例：** + +```py +class Person: + def __init__ (self, name): + # self允许将参数附加到类 + self.name = name + +p = Person('Asabeneh') +print(p.name) +print(p) +``` + +```sh +# 输出 +Asabeneh +<__main__.Person object at 0x2abf46907e80> +``` + +让我们向构造函数添加更多参数。 + +```py +class Person: + def __init__(self, firstname, lastname, age, country, city): + self.firstname = firstname + self.lastname = lastname + self.age = age + self.country = country + self.city = city + + +p = Person('Asabeneh', 'Yetayeh', 250, 'Finland', 'Helsinki') +print(p.firstname) +print(p.lastname) +print(p.age) +print(p.country) +print(p.city) +``` + +```sh +# 输出 +Asabeneh +Yetayeh +250 +Finland +Helsinki +``` + +### 对象方法 + +对象可以有方法。方法是属于对象的函数。 + +**示例：** + +```py +class Person: + def __init__(self, firstname, lastname, age, country, city): + self.firstname = firstname + self.lastname = lastname + self.age = age + self.country = country + self.city = city + def person_info(self): + return f'{self.firstname} {self.lastname}今年{self.age}岁。他住在{self.country}的{self.city}。' + +p = Person('Asabeneh', 'Yetayeh', 250, 'Finland', 'Helsinki') +print(p.person_info()) +``` + +```sh +# 输出 +Asabeneh Yetayeh今年250岁。他住在Finland的Helsinki。 +``` + +### 对象默认方法 + +有时，你可能希望为对象方法提供默认值。如果我们为构造函数中的参数提供默认值，可以避免在不带参数调用或实例化类时出现错误。让我们看看这是什么样子： + +**示例：** + +```py +class Person: + def __init__(self, firstname='Asabeneh', lastname='Yetayeh', age=250, country='Finland', city='Helsinki'): + self.firstname = firstname + self.lastname = lastname + self.age = age + self.country = country + self.city = city + + def person_info(self): + return f'{self.firstname} {self.lastname}今年{self.age}岁。他住在{self.country}的{self.city}。' + +p1 = Person() +print(p1.person_info()) +p2 = Person('John', 'Doe', 30, 'Nomanland', 'Noman city') +print(p2.person_info()) +``` + +```sh +# 输出 +Asabeneh Yetayeh今年250岁。他住在Finland的Helsinki。 +John Doe今年30岁。他住在Nomanland的Noman city。 +``` + +### 修改类默认值的方法 + +在下面的例子中，person类的所有构造函数参数都有默认值。此外，我们还有一个skills参数，可以通过方法访问。让我们创建一个add_skill方法，向skills列表添加技能。 + +```py +class Person: + def __init__(self, firstname='Asabeneh', lastname='Yetayeh', age=250, country='Finland', city='Helsinki'): + self.firstname = firstname + self.lastname = lastname + self.age = age + self.country = country + self.city = city + self.skills = [] + + def person_info(self): + return f'{self.firstname} {self.lastname}今年{self.age}岁。他住在{self.country}的{self.city}。' + def add_skill(self, skill): + self.skills.append(skill) + +p1 = Person() +print(p1.person_info()) +p1.add_skill('HTML') +p1.add_skill('CSS') +p1.add_skill('JavaScript') +p2 = Person('John', 'Doe', 30, 'Nomanland', 'Noman city') +print(p2.person_info()) +print(p1.skills) +print(p2.skills) +``` + +```sh +# 输出 +Asabeneh Yetayeh今年250岁。他住在Finland的Helsinki。 +John Doe今年30岁。他住在Nomanland的Noman city。 +['HTML', 'CSS', 'JavaScript'] +[] +``` + +### 继承 + +继承允许我们定义一个继承父类所有功能的类。它使代码可重用。 + +```py +# 语法 +class 子类名(父类名): + 代码放在这里 +``` + +让我们通过实际例子来看看继承的含义： + +```py +class Student(Person): + pass + + +s1 = Student('Eyob', 'Yetayeh', 30, 'Finland', 'Helsinki') +s2 = Student('Lidiya', 'Teklemariam', 28, 'Finland', 'Espoo') +print(s1.person_info()) +s1.add_skill('JavaScript') +s1.add_skill('React') +s1.add_skill('Python') +print(s1.skills) +print(s2.person_info()) +s2.add_skill('Organizing') +s2.add_skill('Marketing') +s2.add_skill('Digital Marketing') +print(s2.skills) +``` + +```sh +# 输出 +Eyob Yetayeh今年30岁。他住在Finland的Helsinki。 +['JavaScript', 'React', 'Python'] +Lidiya Teklemariam今年28岁。他住在Finland的Espoo。 +['Organizing', 'Marketing', 'Digital Marketing'] +``` + +我们没有在Student类中调用任何方法，但我们能够访问来自Parent类的所有方法。Student类继承了Person类的__init__构造函数和person_info方法。如果我们想要向子类添加一个特定于子类的新方法，我们必须编写子类并在子类中创建新的方法。 + +```py +class Student(Person): + def __init__ (self, firstname='Asabeneh', lastname='Yetayeh',age=250, country='Finland', city='Helsinki', gender='male'): + self.gender = gender + super().__init__(firstname, lastname,age, country, city) + def person_info(self): + gender = '他' if self.gender =='male' else '她' + return f'{self.firstname} {self.lastname}今年{self.age}岁。{gender}住在{self.country}的{self.city}。' + + +s1 = Student('Eyob', 'Yetayeh', 30, 'Finland', 'Helsinki','male') +s2 = Student('Lidiya', 'Teklemariam', 28, 'Finland', 'Espoo', 'female') +print(s1.person_info()) +s1.add_skill('JavaScript') +s1.add_skill('React') +s1.add_skill('Python') +print(s1.skills) +print(s2.person_info()) +s2.add_skill('Organizing') +s2.add_skill('Marketing') +s2.add_skill('Digital Marketing') +print(s2.skills) +``` + +```sh +# 输出 +Eyob Yetayeh今年30岁。他住在Finland的Helsinki。 +['JavaScript', 'React', 'Python'] +Lidiya Teklemariam今年28岁。她住在Finland的Espoo。 +['Organizing', 'Marketing', 'Digital Marketing'] +``` + +我们可以使用super()函数或父类名Person来自动继承父类的方法和属性。在上面的例子中，我们覆盖了父类方法。子类的person_info方法有不同的实现，即使方法名称与父类相同。 + +### 覆盖父类方法 + +如上所示，我们可以通过创建与父类方法名称相同的子类方法来覆盖父类方法。 + +## 💻 练习：第21天 + +### 练习：级别1 + +1. Python有一个名为_statistics_的模块，我们可以使用这个模块来计算统计数据。但是，让我们尝试开发一个可以计算均值、中位数、众数、标准差等统计数据的类。 + +```py +class Statistics: + def __init__(self, data=[]): + self.data = data + + def count(self): + # 你自己的实现 + pass + + def sum(self): + # 你自己的实现 + pass + + def min(self): + # 你自己的实现 + pass + + def max(self): + # 你自己的实现 + pass + + def range(self): + # 你自己的实现 + pass + + def mean(self): + # 你自己的实现 + pass + + def median(self): + # 你自己的实现 + pass + + def mode(self): + # 你自己的实现 + pass + + def standard_deviation(self): + # 你自己的实现 + pass + + def variance(self): + # 你自己的实现 + pass + + def frequency_distribution(self): + # 你自己的实现 + pass + + def describe(self): + # 你自己的实现 + pass +``` + +```py +# 测试代码 +data = [31, 26, 34, 37, 27, 26, 32, 32, 26, 27, 27, 24, 32, 33, 27, 25, 26, 38, 37, 31, 34, 24, 33, 29, 26] +statistics = Statistics(data) +print('Count:', statistics.count()) # 25 +print('Sum: ', statistics.sum()) # 730 +print('Min: ', statistics.min()) # 24 +print('Max: ', statistics.max()) # 38 +print('Range: ', statistics.range()) # 14 +print('Mean: ', statistics.mean()) # 29.2 +print('Median: ', statistics.median()) # 27 +print('Mode: ', statistics.mode()) # {'mode': 26, 'count': 5} +print('Standard Deviation: ', statistics.standard_deviation()) # 4.2 +print('Variance: ', statistics.variance()) # 17.5 +print('Frequency Distribution: ', statistics.frequency_distribution()) # [(24, 2), (25, 1), (26, 5), (27, 4), (29, 1), (31, 2), (32, 3), (33, 2), (34, 2), (37, 2), (38, 1)] +``` + +### 练习：级别2 + +1. 创建一个名为PersonAccount的类。它有firstname、lastname、incomes、expenses属性和添加收入、添加支出以及账户余额方法。 + +### 练习：级别3 + +1. 以下是使用函数的方法。让我们将其转换为类 + +```python +def print_products(*args, **kwargs): + for product in args: + print(product) + print(kwargs) + for key in kwargs: + print(f"{key}: {kwargs[key]}") + +print_products("apple", "banana", "orange", vegetable="tomato", juice="orange") +``` + +```sh +apple +banana +orange +{'vegetable': 'tomato', 'juice': 'orange'} +vegetable: tomato +juice: orange +``` + +1. 在一个名为PersonAccount的类中，我们有属性：firstname、lastname、incomes、expenses。设计一个类，用于计算一个人的净收入。 + +🎉 恭喜！🎉 + +[<< 第 20 天](./20_python_package_manager_cn.md) | [第 22 天 >>](./22_web_scraping_cn.md) \ No newline at end of file diff --git a/Chinese/22_web_scraping_cn.md b/Chinese/22_web_scraping_cn.md new file mode 100644 index 000000000..7b08eb928 --- /dev/null +++ b/Chinese/22_web_scraping_cn.md @@ -0,0 +1,89 @@ +# 30天Python编程挑战：第22天 - 网页抓取 + +- [第22天](#-第22天) + - [Python网页抓取](#python网页抓取) + - [什么是网页抓取](#什么是网页抓取) + - [💻 练习：第22天](#-练习第22天) + +# 📘 第22天 + +## Python网页抓取 + +### 什么是网页抓取 + +互联网充满了大量的数据，这些数据可以用于不同的目的。要收集这些数据，我们需要知道如何从网站上抓取数据。 + +网页抓取是从网站提取和收集数据，并将其存储在本地机器或数据库中的过程。 + +在本节中，我们将使用beautifulsoup和requests包来抓取数据。我们使用的是beautifulsoup 4版本。 + +要开始抓取网站，你需要_requests_、_beautifoulSoup4_和一个_网站_。 + +```sh +pip install requests +pip install beautifulsoup4 +``` + +要从网站抓取数据，需要基本了解HTML标签和CSS选择器。我们使用HTML标签、类或/和ID来定位网站上的内容。 +让我们导入requests和BeautifulSoup模块： + +```py +import requests +from bs4 import BeautifulSoup +``` + +让我们声明一个url变量，用于我们要抓取的网站。 + +```py +import requests +from bs4 import BeautifulSoup +url = 'https://archive.ics.uci.edu/ml/datasets.php' + +# 让我们使用requests的get方法从url获取数据 +response = requests.get(url) +# 检查状态 +status = response.status_code +print(status) # 200表示获取成功 +``` + +```sh +200 +``` + +使用beautifulSoup解析页面内容： + +```py +import requests +from bs4 import BeautifulSoup +url = 'https://archive.ics.uci.edu/ml/datasets.php' + +response = requests.get(url) +content = response.content # 我们从网站获取所有内容 +soup = BeautifulSoup(content, 'html.parser') # beautiful soup将给我们一个解析的机会 +print(soup.title) # UCI Machine Learning Repository: Data Sets +print(soup.title.get_text()) # UCI Machine Learning Repository: Data Sets +print(soup.body) # 给出网站上的整个页面 +print(response.status_code) + +tables = soup.find_all('table', {'cellpadding':'3'}) +# 我们定位cellpadding属性值为3的表格 +# 我们可以使用id、class或HTML标签进行选择，有关更多信息，请查看beautifulsoup文档 +table = tables[0] # 结果是一个列表，我们从中提取数据 +for td in table.find('tr').find_all('td'): + print(td.text) +``` + +如果你运行这段代码，你会发现提取工作只完成了一半。你可以继续完成它，因为这是练习1的一部分。 +参考[beautifulsoup文档](https://www.crummy.com/software/BeautifulSoup/bs4/doc/#quick-start)获取更多信息。 + +🌕 你非常特别，你每天都在进步。你只剩下八天就要达到伟大的境界了。现在做一些练习来锻炼你的大脑和肌肉。 + +## 💻 练习：第22天 + +1. 抓取以下网站并将数据存储为json文件（url = 'http://www.bu.edu/president/boston-university-facts-stats/'）。 +2. 提取此url中的表格（https://archive.ics.uci.edu/ml/datasets.php）并将其更改为json文件。 +3. 抓取总统表并将数据存储为json（https://en.wikipedia.org/wiki/List_of_presidents_of_the_United_States）。这个表格结构不是很规整，抓取可能需要很长时间。 + +🎉 恭喜！🎉 + +[<< 第 21 天](./21_classes_and_objects_cn.md) | [第 23 天 >>](./23_virtual_environment_cn.md) \ No newline at end of file diff --git a/Chinese/23_virtual_environment_cn.md b/Chinese/23_virtual_environment_cn.md new file mode 100644 index 000000000..36cbf547a --- /dev/null +++ b/Chinese/23_virtual_environment_cn.md @@ -0,0 +1,97 @@ +# 30天Python编程挑战：第23天 - 虚拟环境 + +- [第23天](#-第23天) + - [设置虚拟环境](#设置虚拟环境) + - [💻 练习：第23天](#-练习第23天) + +# 📘 第23天 + +## 设置虚拟环境 + +开始项目时，最好有一个虚拟环境。虚拟环境可以帮助我们创建一个隔离或独立的环境。这将有助于避免不同项目之间的依赖冲突。如果你在终端上输入pip freeze，你将看到计算机上安装的所有包。如果我们使用virtualenv，我们将只能访问特定于该项目的包。打开你的终端并安装virtualenv： + +```sh +asabeneh@Asabeneh:~$ pip install virtualenv +``` + +在30DaysOfPython文件夹内创建一个flask_project文件夹。 + +安装virtualenv包后，进入项目文件夹并通过以下命令创建虚拟环境： + +对于Mac/Linux： +```sh +asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ virtualenv venv +``` + +对于Windows： +```sh +C:\Users\User\Documents\30DaysOfPython\flask_project>python -m venv venv +``` + +我喜欢将新项目称为venv，但你可以随意命名。让我们使用ls（或Windows命令提示符的dir）命令检查venv是否已创建。 + +```sh +asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ ls +venv/ +``` + +让我们通过在项目文件夹中编写以下命令来激活虚拟环境。 + +对于Mac/Linux： +```sh +asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ source venv/bin/activate +``` + +Windows上虚拟环境的激活可能因Windows PowerShell和git bash而异。 + +对于Windows PowerShell： +```sh +C:\Users\User\Documents\30DaysOfPython\flask_project> venv\Scripts\activate +``` + +对于Windows Git bash： +```sh +C:\Users\User\Documents\30DaysOfPython\flask_project> venv\Scripts\. activate +``` + +输入激活命令后，你的项目目录将以venv开头。请参见下面的示例。 + +```sh +(venv) asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ +``` + +现在，让我们通过输入pip freeze来检查这个项目中可用的包。你不会看到任何包。 + +我们将做一个小型flask项目，所以让我们为这个项目安装flask包。 + +```sh +(venv) asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ pip install Flask +``` + +现在，让我们输入pip freeze查看项目中已安装的包列表： + +```sh +(venv) asabeneh@Asabeneh:~/Desktop/30DaysOfPython/flask_project$ pip freeze +Click==7.0 +Flask==1.1.1 +itsdangerous==1.1.0 +Jinja2==2.10.3 +MarkupSafe==1.1.1 +Werkzeug==0.16.0 +``` + +完成后，你应该使用_deactivate_来关闭活动项目。 + +```sh +(venv) asabeneh@Asabeneh:~/Desktop/30DaysOfPython$ deactivate +``` + +使用flask所需的模块已经安装好了。现在，你的项目目录已经准备好用于flask项目。你应该将venv包含在.gitignore文件中，以避免将其推送到GitHub。 + +## 💻 练习：第23天 + +1. 根据上面给出的示例创建一个带有虚拟环境的项目目录。 + +🎉 恭喜！🎉 + +[<< 第 22 天](./22_web_scraping_cn.md) | [第 24 天 >>](./24_statistics_cn.md) \ No newline at end of file diff --git a/Chinese/24_statistics_cn.md b/Chinese/24_statistics_cn.md new file mode 100644 index 000000000..8ea28354d --- /dev/null +++ b/Chinese/24_statistics_cn.md @@ -0,0 +1,589 @@ +# 30天Python编程挑战：第24天 - 统计 + +- [第24天](#-第24天) + - [Python进行统计分析](#python进行统计分析) + - [统计学](#统计学) + - [数据](#数据) + - [统计模块](#统计模块) +- [NumPy](#numpy) + - [导入NumPy](#导入numpy) + - [使用NumPy创建数组](#使用numpy创建数组) + - [创建整型NumPy数组](#创建整型numpy数组) + - [创建浮点型NumPy数组](#创建浮点型numpy数组) + - [创建布尔型NumPy数组](#创建布尔型numpy数组) + - [使用NumPy创建多维数组](#使用numpy创建多维数组) + - [将NumPy数组转换为列表](#将numpy数组转换为列表) + - [从元组创建NumPy数组](#从元组创建numpy数组) + - [NumPy数组的形状](#numpy数组的形状) + - [NumPy数组的数据类型](#numpy数组的数据类型) + - [NumPy数组的大小](#numpy数组的大小) + - [使用NumPy进行数学运算](#使用numpy进行数学运算) + - [加法](#加法) + +# 📘 第24天 + +## Python进行统计分析 + +## 统计学 + +统计学是研究数据的_收集_、_组织_、_显示_、_分析_、_解释_和_呈现_的学科。 +统计学是数学的一个分支，建议作为数据科学和机器学习的先决条件。统计学是一个非常广泛的领域，但在本节中，我们将只关注最相关的部分。 +完成这个挑战后，你可以进入Web开发、数据分析、机器学习和数据科学的道路。无论你选择哪条路，在你的职业生涯中的某个时刻，你都会得到可能需要处理的数据。拥有一些统计知识将帮助你基于数据做出决策，正如他们所说的_数据会告诉我们_。 + +## 数据 + +什么是数据？数据是为某种目的收集和翻译的任何字符集，通常用于分析。它可以是任何字符，包括文本和数字、图片、声音或视频。如果数据没有放在上下文中，对人类或计算机来说都没有任何意义。为了从数据中获取意义，我们需要使用不同的工具来处理数据。 + +数据分析、数据科学或机器学习的工作流程都是从数据开始的。数据可以由某些数据源提供，也可以创建。有结构化和非结构化数据。 + +数据可以以小型或大型格式存在。我们将获得的大多数数据类型已在文件处理部分中介绍。 + +## 统计模块 + +Python的_statistics_模块提供了用于计算数值数据的数学统计的函数。该模块并不打算与第三方库如NumPy、SciPy或面向专业统计学家的专有全功能统计软件包（如Minitab、SAS和Matlab）竞争。它的目标是达到图形和科学计算器的水平。 + +# NumPy + +在第一部分中，我们将Python定义为一种优秀的通用编程语言，但在其他流行库（如numpy、scipy、matplotlib、pandas等）的帮助下，它成为了一个强大的科学计算环境。 + +NumPy是Python中科学计算的核心库。它提供了高性能的多维数组对象和用于处理这些数组的工具。 + +到目前为止，我们一直在使用vscode，但从现在开始，我建议使用Jupyter Notebook。要访问jupyter notebook，让我们安装[anaconda](https://www.anaconda.com/)。如果你使用anaconda，大多数常用的包都已包含在内，如果你已安装anaconda，就不需要再安装这些包。 + +```sh +asabeneh@Asabeneh:~/Desktop/30DaysOfPython$ pip install numpy +``` + +## 导入NumPy + +如果你喜欢[jupyter notebook](https://github.com/Asabeneh/data-science-for-everyone/blob/master/numpy/numpy.ipynb)，可以使用它 + +```py +# 如何导入numpy +import numpy as np +# 如何检查numpy包的版本 +print('numpy:', np.__version__) +# 检查可用的方法 +print(dir(np)) +``` + +## 使用NumPy创建数组 + +### 创建整型NumPy数组 + +```py +# 创建Python列表 +python_list = [1,2,3,4,5] + +# 检查数据类型 +print('Type:', type (python_list)) # +# +print(python_list) # [1, 2, 3, 4, 5] + +two_dimensional_list = [[0,1,2], [3,4,5], [6,7,8]] + +print(two_dimensional_list) # [[0, 1, 2], [3, 4, 5], [6, 7, 8]] + +# 从Python列表创建NumPy(数值Python)数组 + +numpy_array_from_list = np.array(python_list) +print(type (numpy_array_from_list)) # +print(numpy_array_from_list) # array([1, 2, 3, 4, 5]) +``` + +### 创建浮点型NumPy数组 + +使用浮点数据类型参数从列表创建浮点NumPy数组 + +```py +# Python列表 +python_list = [1,2,3,4,5] + +numpy_array_from_list2 = np.array(python_list, dtype=float) +print(numpy_array_from_list2) # array([1., 2., 3., 4., 5.]) +``` + +### 创建布尔型NumPy数组 + +从列表创建布尔NumPy数组 + +```py +numpy_bool_array = np.array([0, 1, -1, 0, 0], dtype=bool) +print(numpy_bool_array) # array([False, True, True, False, False]) +``` + +### 使用NumPy创建多维数组 + +一个NumPy数组可能有一个或多个行和列 + +```py +two_dimensional_list = [[0,1,2], [3,4,5], [6,7,8]] +numpy_two_dimensional_list = np.array(two_dimensional_list) +print(type (numpy_two_dimensional_list)) +print(numpy_two_dimensional_list) +``` + +```sh + +[[0 1 2] + [3 4 5] + [6 7 8]] +``` + +### 将NumPy数组转换为列表 + +```python +# 我们总是可以使用tolist()将数组转换回Python列表。 +np_to_list = numpy_array_from_list.tolist() +print(type (np_to_list)) +print('一维数组:', np_to_list) +print('二维数组: ', numpy_two_dimensional_list.tolist()) +``` + +```sh + +一维数组: [1, 2, 3, 4, 5] +二维数组: [[0, 1, 2], [3, 4, 5], [6, 7, 8]] +``` + +### 从元组创建NumPy数组 + +```py +# 从元组创建NumPy数组 +# 在Python中创建元组 +python_tuple = (1,2,3,4,5) +print(type (python_tuple)) # +print('python_tuple: ', python_tuple) # python_tuple: (1, 2, 3, 4, 5) + +numpy_array_from_tuple = np.array(python_tuple) +print(type (numpy_array_from_tuple)) # +print('numpy_array_from_tuple: ', numpy_array_from_tuple) # numpy_array_from_tuple: [1 2 3 4 5] +``` + +### NumPy数组的形状 + +shape方法以元组形式提供数组的形状。第一个是行，第二个是列。如果数组只是一维的，它返回数组的大小。 + +```py +nums = np.array([1, 2, 3, 4, 5]) +print(nums) +print('nums的形状: ', nums.shape) +print(numpy_two_dimensional_list) +print('numpy_two_dimensional_list的形状: ', numpy_two_dimensional_list.shape) +three_by_four_array = np.array([[0, 1, 2, 3], + [4,5,6,7], + [8,9,10, 11]]) +print(three_by_four_array.shape) +``` + +```sh +[1 2 3 4 5] +nums的形状: (5,) +[[0 1 2] + [3 4 5] + [6 7 8]] +numpy_two_dimensional_list的形状: (3, 3) +(3, 4) +``` + +### NumPy数组的数据类型 + +数据类型的类型：str, int, float, complex, bool, list, None + +```py +int_lists = [-3, -2, -1, 0, 1, 2,3] +int_array = np.array(int_lists) +float_array = np.array(int_lists, dtype=float) + +print(int_array) +print(int_array.dtype) +print(float_array) +print(float_array.dtype) +``` + +```sh +[-3 -2 -1 0 1 2 3] +int64 +[-3. -2. -1. 0. 1. 2. 3.] +float64 +``` + +### NumPy数组的大小 + +在NumPy中，要知道NumPy数组列表中的项目数，我们使用size + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +two_dimensional_list = np.array([[0, 1, 2], + [3, 4, 5], + [6, 7, 8]]) + +print('大小:', numpy_array_from_list.size) # 5 +print('大小:', two_dimensional_list.size) # 9 +``` + +```sh +大小: 5 +大小: 9 +``` + +## 使用NumPy进行数学运算 + +NumPy数组与Python列表不完全相同。要对Python列表进行数学运算，我们必须遍历项目，但NumPy可以不通过循环就进行任何数学运算。 +数学运算： + +- 加法 (+) +- 减法 (-) +- 乘法 (*) +- 除法 (/) +- 模数 (%) +- 整除 (//) +- 指数 (**) + +### 加法 + +```py +# 声明 +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('原始数组: ', numpy_array_from_list) +print('加法: ', numpy_array_from_list + 2) +print('加法: ', np.add(numpy_array_from_list, 2)) +``` + +```sh +原始数组: [1 2 3 4 5] +加法: [3 4 5 6 7] +加法: [3 4 5 6 7] +``` + +### 减法 + +```py +# 声明 +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('原始数组: ', numpy_array_from_list) +print('减法: ', numpy_array_from_list - 2) +print('减法: ', np.subtract(numpy_array_from_list, 2)) +``` + +```sh +原始数组: [1 2 3 4 5] +减法: [-1 0 1 2 3] +减法: [-1 0 1 2 3] +``` + +### 乘法 + +```py +# 声明 +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('原始数组: ', numpy_array_from_list) +print('乘法: ', numpy_array_from_list * 2) +print('乘法: ', np.multiply(numpy_array_from_list, 2)) +``` + +```sh +原始数组: [1 2 3 4 5] +乘法: [ 2 4 6 8 10] +乘法: [ 2 4 6 8 10] +``` + +### 除法 + +```py +# 声明 +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('原始数组: ', numpy_array_from_list) +print('除法: ', numpy_array_from_list / 2) +print('除法: ', np.divide(numpy_array_from_list, 2)) +``` + +```sh +原始数组: [1 2 3 4 5] +除法: [0.5 1. 1.5 2. 2.5] +除法: [0.5 1. 1.5 2. 2.5] +``` + +### 模数 + +```py +# 声明 +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('原始数组: ', numpy_array_from_list) +print('模数: ', numpy_array_from_list % 2) +print('模数: ', np.mod(numpy_array_from_list, 2)) +``` + +```sh +原始数组: [1 2 3 4 5] +模数: [1 0 1 0 1] +模数: [1 0 1 0 1] +``` + +### 整除 + +```py +# 声明 +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('原始数组: ', numpy_array_from_list) +print('整除: ', numpy_array_from_list // 2) +print('整除: ', np.floor_divide(numpy_array_from_list, 2)) +``` + +```sh +原始数组: [1 2 3 4 5] +整除: [0 1 1 2 2] +整除: [0 1 1 2 2] +``` + +### 指数 + +```py +# 声明 +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('原始数组: ', numpy_array_from_list) +print('指数: ', numpy_array_from_list ** 2) +print('指数: ', np.power(numpy_array_from_list, 2)) +``` + +```sh +原始数组: [1 2 3 4 5] +指数: [ 1 4 9 16 25] +指数: [ 1 4 9 16 25] +``` + +## 检查数据类型 + +```py +numpy_int_arr = np.array([1, 2, 3, 4]) +numpy_float_arr = np.array([1.1, 2.0, 3.2]) +numpy_bool_arr = np.array([-3, -2, 0, 1, 2, 3], dtype='bool') + +print(numpy_int_arr.dtype) +print(numpy_float_arr.dtype) +print(numpy_bool_arr.dtype) +``` + +```sh +int64 +float64 +bool +``` + +## 转换类型 + +我们可以使用astype将数据类型从一种类型转换为另一种类型。让我们将int类型转换为浮点数，浮点数转换为整数，整数转换为布尔型。 + +```py +numpy_int_arr = np.array([1, 2, 3, 4], dtype='float') +numpy_int_arr.astype('int').dtype +numpy_float_arr = np.array([1.1, 2.0, 3.2]) +numpy_float_arr.astype('int').dtype +numpy_int_arr = np.array([-3, -2, 0, 1, 2, 3]) +numpy_int_arr.astype('bool').dtype +``` + +```sh +int64 +int64 +bool +``` + +## 多维数组 + +NumPy的主要优点之一是处理多维数组。我们先构建多维数组。 + +```py +two_dimension_array = np.array([(1,2,3),(4,5,6), (7,8,9)]) +print(type (two_dimension_array)) +print(two_dimension_array) +print('形状: ', two_dimension_array.shape) +print('大小: ', two_dimension_array.size) +print('数据类型: ', two_dimension_array.dtype) +``` + +```sh + +[[1 2 3] + [4 5 6] + [7 8 9]] +形状: (3, 3) +大小: 9 +数据类型: int64 +``` + +### 从NumPy中获取项目 + +```py +# 二维数组 +two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) +first_row = two_dimension_array[0] +second_row = two_dimension_array[1] +third_row = two_dimension_array[2] +print('第一行:', first_row) +print('第二行:', second_row) +print('第三行: ', third_row) +``` + +```sh +第一行: [1 2 3] +第二行: [4 5 6] +第三行: [7 8 9] +``` + +现在让我们获取每一行的第一项： + +```py +first_column= two_dimension_array[:,0] +second_column = two_dimension_array[:,1] +third_column = two_dimension_array[:,2] +print('第一列:', first_column) +print('第二列:', second_column) +print('第三列: ', third_column) +``` + +```sh +第一列: [1 4 7] +第二列: [2 5 8] +第三列: [3 6 9] +``` + +## NumPy数组切片 + +切片NumPy数组与切片Python列表相似，只是它适用于两个维度（行和列）。让我们先看看如何从NumPy数组中切片项目。 + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) +print('原始数组：', numpy_array_from_list) + +# 第一个参数代表：起始位置 +# 第二个参数代表：停止位置 +# 第三个参数代表：步长 +print('第一个参数代表：起始位置') +print('第二个参数代表：停止位置') +print('第三个参数代表：步长') +# 使用正index +ten_first_items = numpy_array_from_list[0:10] +print('前10项：', ten_first_items) +first_five_items = numpy_array_from_list[:5] +print('前5项：', first_five_items) +last_five_items = numpy_array_from_list[5:] +print('后5项：', last_five_items) +# 使用负index +last_five_items = numpy_array_from_list[-5:] +print('后5项：', last_five_items) +``` + +```sh +原始数组： [ 1 2 3 4 5 6 7 8 9 10] +第一个参数代表：起始位置 +第二个参数代表：停止位置 +第三个参数代表：步长 +前10项： [ 1 2 3 4 5 6 7 8 9 10] +前5项： [1 2 3 4 5] +后5项： [ 6 7 8 9 10] +后5项： [ 6 7 8 9 10] +``` + +现在，让我们通过设置步长来访问每个2个项目： + +```py +every_two_item = numpy_array_from_list[::2] +print('每隔一项：', every_two_item) +``` + +```sh +每隔一项： [1 3 5 7 9] +``` + +让我们反转数组： + +```py +reversed_array = numpy_array_from_list[::-1] +print('反转数组：', reversed_array) +``` + +```sh +反转数组： [10 9 8 7 6 5 4 3 2 1] +``` + +我们可以在NumPy二维数组上使用切片： + +```py +two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) +print(two_dimension_array) +print(two_dimension_array[1, 1]) +print(two_dimension_array[1, 1:3]) +print(two_dimension_array[1:3, 1:3]) +``` + +```sh +[[1 2 3] + [4 5 6] + [7 8 9]] +5 +[5 6] +[[5 6] + [8 9]] +``` + +## NumPy连接数组 + +NumPy提供了连接数组的方法。 + +```py +first_array = np.array([1, 2, 3]) +second_array = np.array([4, 5, 6]) +third_array = np.array([7, 8, 9]) +print('第一个数组：', first_array) +print('第二个数组：', second_array) +print('第三个数组：', third_array) +``` + +```sh +第一个数组： [1 2 3] +第二个数组： [4 5 6] +第三个数组： [7 8 9] +``` + +### 水平连接 + +```py +horizontal_concat = np.hstack((first_array, second_array, third_array)) +print('水平连接：', horizontal_concat) +``` + +```sh +水平连接： [1 2 3 4 5 6 7 8 9] +``` + +### 垂直连接 + +```py +vertical_concat = np.vstack((first_array, second_array, third_array)) +print('垂直连接：', vertical_concat) +``` + +```sh +垂直连接： +[[1 2 3] + [4 5 6] + [7 8 9]] +``` + +## 常见NumPy函数 + +我们看看最常见的NumPy函数： + +### 最小值、最大值、平均值、中位数和百分位数 + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) +print('最小值：', numpy_array_from_list.min()) +print('最大值：', numpy_array_from_list.max()) +print('平均值：', numpy_array_from_list.mean()) +``` + +🎉 恭喜！🎉 + +[<< 第 23 天](./23_virtual_environment_cn.md) | [第 25 天 >>](./25_pandas_cn.md) \ No newline at end of file diff --git a/Chinese/25_pandas_cn.md b/Chinese/25_pandas_cn.md new file mode 100644 index 000000000..62d5e0286 --- /dev/null +++ b/Chinese/25_pandas_cn.md @@ -0,0 +1,551 @@ +# 30天Python编程挑战：第25天 - Pandas + +- [第25天](#-第25天) + - [Pandas](#pandas) + - [安装Pandas](#安装pandas) + - [导入Pandas](#导入pandas) + - [使用默认索引创建Pandas系列](#使用默认索引创建pandas系列) + - [使用自定义索引创建Pandas系列](#使用自定义索引创建pandas系列) + - [从字典创建Pandas系列](#从字典创建pandas系列) + - [创建常量Pandas系列](#创建常量pandas系列) + - [使用Linspace创建Pandas系列](#使用linspace创建pandas系列) + - [数据框（DataFrames）](#数据框dataframes) + - [从列表的列表创建数据框](#从列表的列表创建数据框) + - [使用字典创建数据框](#使用字典创建数据框) + - [从字典列表创建数据框](#从字典列表创建数据框) + - [使用Pandas读取CSV文件](#使用pandas读取csv文件) + - [数据探索](#数据探索) + - [修改数据框](#修改数据框) + - [创建数据框](#创建数据框) + - [添加新列](#添加新列) + - [修改列值](#修改列值) + - [格式化数据框列](#格式化数据框列) + - [检查列值的数据类型](#检查列值的数据类型) + - [布尔索引](#布尔索引) + - [练习：第25天](#练习第25天) + +# 📘 第25天 + +## Pandas + +Pandas是一个开源的、高性能的、易于使用的Python编程语言数据结构和数据分析工具。 +Pandas添加了设计用于处理表格数据的数据结构和工具，这些数据结构是*系列（Series）*和*数据框（Data Frames）*。 +Pandas提供了用于数据操作的工具： + +- 重塑 +- 合并 +- 排序 +- 切片 +- 聚合 +- 插补 +如果你使用的是anaconda，则不必安装pandas。 + +### 安装Pandas + +对于Mac： +```py +pip install conda +conda install pandas +``` + +对于Windows： +```py +pip install conda +pip install pandas +``` + +Pandas数据结构基于*系列（Series）*和*数据框（DataFrames）*。 + +*系列*是一个*列*，而数据框是由*系列*集合组成的*多维表*。为了创建pandas系列，我们应该使用numpy创建一维数组或Python列表。 +让我们看一个系列的例子： + +名称Pandas系列 + +![pandas series](../images/pandas-series-1.png) + +国家系列 + +![pandas series](../images/pandas-series-2.png) + +城市系列 + +![pandas series](../images/pandas-series-3.png) + +如你所见，pandas系列只是一列数据。如果我们想要有多列，我们使用数据框。下面的例子显示了pandas数据框。 + +让我们看一个pandas数据框的例子： + +![Pandas data frame](../images/pandas-dataframe-1.png) + +数据框是行和列的集合。看看下面的表格；它比上面的例子有更多的列： + +![Pandas data frame](../images/pandas-dataframe-2.png) + +接下来，我们将看到如何导入pandas以及如何使用pandas创建系列和数据框 + +### 导入Pandas + +```python +import pandas as pd # 将pandas导入为pd +import numpy as np # 将numpy导入为np +``` + +### 使用默认索引创建Pandas系列 + +```python +nums = [1, 2, 3, 4,5] +s = pd.Series(nums) +print(s) +``` + +```sh +0 1 +1 2 +2 3 +3 4 +4 5 +dtype: int64 +``` + +### 使用自定义索引创建Pandas系列 + +```python +nums = [1, 2, 3, 4, 5] +s = pd.Series(nums, index=[1, 2, 3, 4, 5]) +print(s) +``` + +```sh +1 1 +2 2 +3 3 +4 4 +5 5 +dtype: int64 +``` + +```python +fruits = ['Orange','Banana','Mango'] +fruits = pd.Series(fruits, index=[1, 2, 3]) +print(fruits) +``` + +```sh +1 Orange +2 Banana +3 Mango +dtype: object +``` + +### 从字典创建Pandas系列 + +```python +dct = {'name':'Asabeneh','country':'Finland','city':'Helsinki'} +``` + +```python +s = pd.Series(dct) +print(s) +``` + +```sh +name Asabeneh +country Finland +city Helsinki +dtype: object +``` + +### 创建常量Pandas系列 + +```python +s = pd.Series(10, index = [1, 2, 3]) +print(s) +``` + +```sh +1 10 +2 10 +3 10 +dtype: int64 +``` + +### 使用Linspace创建Pandas系列 + +```python +s = pd.Series(np.linspace(5, 20, 10)) # linspace(起始点, 终点, 项目数) +print(s) +``` + +```sh +0 5.000000 +1 6.666667 +2 8.333333 +3 10.000000 +4 11.666667 +5 13.333333 +6 15.000000 +7 16.666667 +8 18.333333 +9 20.000000 +dtype: float64 +``` + +## 数据框（DataFrames） + +Pandas数据框可以以不同的方式创建： + +- 从列表的列表创建 +- 从字典创建 +- 从字典的列表创建 +- 从CSV文件创建 + +### 从列表的列表创建数据框 + +```python +data = [ + ['Asabeneh', 'Finland', 'Helsinki'], + ['David', 'UK', 'London'], + ['John', 'Sweden', 'Stockholm'] +] +df = pd.DataFrame(data, columns=['Name', 'Country', 'City']) +print(df) +``` + +```sh + Name Country City +0 Asabeneh Finland Helsinki +1 David UK London +2 John Sweden Stockholm +``` + +### 使用字典创建数据框 + +```python +data = {'Name': ['Asabeneh', 'David', 'John'], 'Country':[ + 'Finland', 'UK', 'Sweden'], 'City': ['Helsinki', 'London', 'Stockholm']} +df = pd.DataFrame(data) +print(df) +``` + +```sh + Name Country City +0 Asabeneh Finland Helsinki +1 David UK London +2 John Sweden Stockholm +``` + +### 从字典列表创建数据框 + +```python +data = [ + {'Name': 'Asabeneh', 'Country': 'Finland', 'City': 'Helsinki'}, + {'Name': 'David', 'Country': 'UK', 'City': 'London'}, + {'Name': 'John', 'Country': 'Sweden', 'City': 'Stockholm'}] +df = pd.DataFrame(data) +print(df) +``` + +```sh + Name Country City +0 Asabeneh Finland Helsinki +1 David UK London +2 John Sweden Stockholm +``` + +## 使用Pandas读取CSV文件 + +让我们在数据目录中读取文件，将通过将文件路径作为参数传递给pd.read_csv()函数来读取weight-height.csv文件。让我们使用head()方法查看前五行。 + +```python +import pandas as pd + +df = pd.read_csv('./data/weight-height.csv') +print(df.head()) # 默认为前五行 +``` + +```sh + Gender Height Weight +0 Male 73.847017 241.893563 +1 Male 68.781904 162.310473 +2 Male 74.110105 212.740856 +3 Male 71.730978 220.042470 +4 Male 69.881796 206.349801 +``` + +让我们使用tail()方法查看最后五行： + +```python +print(df.tail()) # 最后五行 +``` + +```sh + Gender Height Weight +9995 Female 66.172652 136.777454 +9996 Female 67.067155 170.867906 +9997 Female 63.867992 128.475319 +9998 Female 69.034243 163.852461 +9999 Female 61.944246 113.649103 +``` + +### 数据探索 + +让我们使用shape属性获取行和列的数量： +```python +print(df.shape) # 行和列的数量 +``` + +```sh +(10000, 3) +``` + +如你所见，该数据集有10000行和3列。让我们获取有关数据的更多信息： + +```python +print(df.columns) # 列名 +print(df.head(10)) # 前10行 +print(df.tail(10)) # 最后10行 +print(df['Gender'].value_counts()) # 计算每个值有多少个 +print(df.describe()) # 数据统计概要 +``` + +```sh +Index(['Gender', 'Height', 'Weight'], dtype='object') + Gender Height Weight +0 Male 73.847017 241.893563 +1 Male 68.781904 162.310473 +2 Male 74.110105 212.740856 +3 Male 71.730978 220.042470 +4 Male 69.881796 206.349801 +5 Male 68.767792 152.212156 +6 Male 67.961960 183.927889 +7 Male 68.563817 175.929316 +8 Male 71.267570 196.028855 +9 Male 72.040119 205.801386 + Gender Height Weight +9990 Female 64.744846 139.725595 +9991 Female 62.109532 132.451630 +9992 Female 62.593008 130.727432 +9993 Female 62.100222 131.220717 +9994 Female 63.421888 133.330246 +9995 Female 66.172652 136.777454 +9996 Female 67.067155 170.867906 +9997 Female 63.867992 128.475319 +9998 Female 69.034243 163.852461 +9999 Female 61.944246 113.649103 +Gender +Male 5000 +Female 5000 +Name: count, dtype: int64 + Height Weight +count 10000.000000 10000.000000 +mean 66.367560 161.440357 +std 3.847528 32.108439 +min 54.263133 64.700127 +25% 63.505620 135.818051 +50% 66.318070 161.212928 +75% 69.174262 187.169525 +max 78.998742 269.989699 +``` + +## 修改数据框 + +### 创建数据框 + +首先，让我们使用前面学到的内容创建一个数据框： + +```python +# 导入pandas包 +import pandas as pd +# 导入numpy包 +import numpy as np +# 数据 +data = [ + {"Name": "张三", "Country":"中国", "City":"上海"}, + {"Name": "李四", "Country":"中国", "City":"北京"}, + {"Name": "王五", "Country":"中国", "City":"广州"}] +# 创建一个数据框 +df = pd.DataFrame(data) +print(df) +``` + +```sh + Name Country City +0 张三 中国 上海 +1 李四 中国 北京 +2 王五 中国 广州 +``` + +### 添加新列 + +让我们向DataFrame添加权重列： + +```python +weights = [74, 78, 69] +df['Weight'] = weights +df +``` + +```sh + Name Country City Weight +0 张三 中国 上海 74 +1 李四 中国 北京 78 +2 王五 中国 广州 69 +``` + +让我们添加一个高度列： + +```python +heights = [173, 175, 169] +df['Height'] = heights +df +``` + +```sh + Name Country City Weight Height +0 张三 中国 上海 74 173 +1 李四 中国 北京 78 175 +2 王五 中国 广州 69 169 +``` + +### 修改列值 + +我们可以通过三种方式修改列： + +1. 直接在列名中写入新数据： + +```python +df['Name'] = ['赵六', '钱七', '孙八'] +df +``` + +```sh + Name Country City Weight Height +0 赵六 中国 上海 74 173 +1 钱七 中国 北京 78 175 +2 孙八 中国 广州 69 169 +``` + +2. 通过索引进行修改： + +```python +df.loc[1, 'Name'] = '小七' +df +``` + +```sh + Name Country City Weight Height +0 赵六 中国 上海 74 173 +1 小七 中国 北京 78 175 +2 孙八 中国 广州 69 169 +``` + +通过iloc索引： + +```python +print('原始数据：\n', df) +df.iloc[1, 0] = '阿七' +print('修改后的数据：\n', df) +``` + +```sh +原始数据： + Name Country City Weight Height +0 赵六 中国 上海 74 173 +1 小七 中国 北京 78 175 +2 孙八 中国 广州 69 169 +修改后的数据： + Name Country City Weight Height +0 赵六 中国 上海 74 173 +1 阿七 中国 北京 78 175 +2 孙八 中国 广州 69 169 +``` + +### 格式化数据框列 + +让我们使用格式进行修改。强大公式是BMI：体重（kg）/ 身高²（m）。让我们添加一个BMI列： + +```python +# 添加身高、体重和BMI列 +df['BMI'] = np.round(df['Weight'] / ((df['Height'] * 0.01) ** 2), 2) # 保留两位小数 + +print(df) +``` + +```sh + Name Country City Weight Height BMI +0 赵六 中国 上海 74 173 24.73 +1 阿七 中国 北京 78 175 25.47 +2 孙八 中国 广州 69 169 24.16 +``` + +## 检查列值的数据类型 + +我们可以使用dtypes属性检查DataFrame中列的数据类型： + +```python +print(df.dtypes) +``` + +```sh +Name object +Country object +City object +Weight int64 +Height int64 +BMI float64 +dtype: object +``` + +### 布尔索引 + +布尔索引或布尔掩码允许您使用条件选择DataFrame中的特定行： + +```python +# 创建一个数据框 +df = pd.DataFrame({ + 'name': ['张三', '李四', '王五', '赵六'], + 'country': ['中国', '美国', '英国', '西班牙'], + 'age': [25, 15, 22, 28], + '在职': [True, False, True, False] +}) + +print(df) +``` + +```sh + name country age 在职 +0 张三 中国 25 True +1 李四 美国 15 False +2 王五 英国 22 True +3 赵六 西班牙 28 False +``` + +让我们筛选出年龄大于20岁且在职的人员： + +```python +print(df[(df['age'] > 20) & (df['在职'] == True)]) +``` + +```sh + name country age 在职 +0 张三 中国 25 True +2 王五 英国 22 True +``` + +## 练习：第25天 + +1. 阅读[hacker_news.csv](../data/hacker_news.csv)文件并获取前五行 +2. 获取标题列 +3. 获取行数、列数 +4. 获取前十行和最后十行 +5. 获取第二行和第四行从第二列到第四列的数据 +6. 获取主题为Python的行 +7. 获取Python主题行的数量 +8. 获取投票数超过200的所有行 +9. 按投票数排序数据框 +10. 按投票数进行降序排序 +11. 过滤掉Python主题并按票数排序 + +🎉 恭喜！🎉 + +[<< 第 24 天](./24_statistics_cn.md) | [第 26 天 >>](./26_python_web_cn.md) \ No newline at end of file diff --git a/Chinese/26_python_web_cn.md b/Chinese/26_python_web_cn.md new file mode 100644 index 000000000..3eb6a41f5 --- /dev/null +++ b/Chinese/26_python_web_cn.md @@ -0,0 +1,817 @@ +# 30天Python编程挑战：第26天 - Python网络编程 + +- [第26天](#-第26天) + - [Python网络编程](#python网络编程) + - [Flask](#flask) + - [文件夹结构](#文件夹结构) + - [设置项目目录](#设置项目目录) + - [创建路由](#创建路由) + - [创建模板](#创建模板) + - [Python脚本](#python脚本) + - [导航](#导航) + - [创建布局](#创建布局) + - [提供静态文件](#提供静态文件) + - [部署](#部署) + - [创建Heroku账户](#创建heroku账户) + - [登录Heroku](#登录heroku) + - [创建requirements和Procfile](#创建requirements和procfile) + - [将项目推送到Heroku](#将项目推送到heroku) + - [练习：第26天](#练习第26天) + +# 📘 第26天 + +## Python网络编程 + +Python是一种通用编程语言，可以用于多种场合。在本节中，我们将看到如何使用Python进行网络开发。Python有许多Web框架。Django和Flask是最流行的框架。今天，我们将学习如何使用Flask进行Web开发。 + +### Flask + +Flask是用Python编写的Web开发框架。Flask使用Jinja2模板引擎。Flask也可以与其他现代前端库（如React）一起使用。 + +如果你还没有安装virtualenv包，请先安装它。虚拟环境将允许隔离项目依赖与本地机器依赖。 + +#### 文件夹结构 + +完成所有步骤后，你的项目文件结构应该如下所示： + +```sh +├── Procfile +├── app.py +├── env +│ ├── bin +├── requirements.txt +├── static +│ └── css +│ └── main.css +└── templates + ├── about.html + ├── home.html + ├── layout.html + ├── post.html + └── result.html +``` + +### 设置项目目录 + +按照以下步骤开始使用Flask。 + +步骤1：使用以下命令安装virtualenv。 + +```sh +pip install virtualenv +``` + +步骤2： + +```sh +asabeneh@Asabeneh:~/Desktop$ mkdir python_for_web +asabeneh@Asabeneh:~/Desktop$ cd python_for_web/ +asabeneh@Asabeneh:~/Desktop/python_for_web$ virtualenv venv +asabeneh@Asabeneh:~/Desktop/python_for_web$ source venv/bin/activate +(env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze +(env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip install Flask +(env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze +Click==7.0 +Flask==1.1.1 +itsdangerous==1.1.0 +Jinja2==2.10.3 +MarkupSafe==1.1.1 +Werkzeug==0.16.0 +(env) asabeneh@Asabeneh:~/Desktop/python_for_web$ +``` + +我们创建了一个名为python_for_web的项目目录。在项目中，我们创建了一个虚拟环境*venv*，它可以是任何名称，但我喜欢称它为_venv_。然后我们激活了虚拟环境。我们使用pip freeze检查项目目录中安装的包。pip freeze的结果是空的，因为还没有安装包。 + +现在，让我们在项目目录中创建app.py文件并编写以下代码。app.py文件将是项目中的主文件。以下代码包含flask模块和os模块。 + +### 创建路由 + +主页路由。 + +```py +# 导入flask +from flask import Flask +import os # 导入操作系统模块 + +app = Flask(__name__) + +@app.route('/') # 这个装饰器创建主页路由 +def home (): + return '

    欢迎

    ' + +@app.route('/about') +def about(): + return '

    关于我们

    ' + + +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +要运行flask应用程序，在主flask应用程序目录中输入python app.py。 + +运行_python app.py_后，检查本地主机5000端口。 + +让我们添加额外的路由。 +创建关于路由 + +```py +# 导入flask +from flask import Flask +import os # 导入操作系统模块 + +app = Flask(__name__) + +@app.route('/') # 这个装饰器创建主页路由 +def home (): + return '

    欢迎

    ' + +@app.route('/about') +def about(): + return '

    关于我们

    ' + +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +现在，我们在上面的代码中添加了关于路由。如果我们想渲染HTML文件而不是字符串呢？使用*render_template*函数可以渲染HTML文件。让我们在项目目录中创建一个名为templates的文件夹，并在其中创建home.html和about.html。让我们也从flask导入*render_template*函数。 + +### 创建模板 + +在templates文件夹内创建HTML文件。 + +home.html + +```html + + + + + + 主页 + + + +

    欢迎回家

    + + +``` + +about.html + +```html + + + + + + 关于 + + + +

    关于我们

    + + +``` + +### Python脚本 + +app.py + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 + +app = Flask(__name__) + +@app.route('/') # 这个装饰器创建主页路由 +def home (): + return render_template('home.html') + +@app.route('/about') +def about(): + return render_template('about.html') + +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +正如你所看到的，为了访问不同的页面或进行导航，我们需要一个导航。让我们为每个页面添加一个链接，或者创建一个我们用于每个页面的布局。 + +### 导航 + +```html + +``` + +现在，我们可以使用上面的链接在页面之间导航。让我们创建一个额外的页面来处理表单数据。你可以给它取任何名字，我喜欢称它为post.html。 + +我们可以使用Jinja2模板引擎向HTML文件注入数据。 + +```py +# 导入flask +from flask import Flask, render_template, request, redirect, url_for +import os # 导入操作系统模块 + +app = Flask(__name__) + +@app.route('/') # 这个装饰器创建主页路由 +def home (): + techs = ['HTML', 'CSS', 'Flask', 'Python'] + name = '30天Python编程挑战' + return render_template('home.html', techs=techs, name=name, title='主页') + +@app.route('/about') +def about(): + name = '30天Python编程挑战' + return render_template('about.html', name=name, title='关于我们') + +@app.route('/post') +def post(): + name = '编程语言文章' + path = request.path + return render_template('post.html', name=name, path=path, title='文章') + +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +home.html + +```html + + + + + + {{title}} + + + + +

    欢迎回到{{name}}

    +
      + {% for tech in techs %} +
    • {{tech}}
      • + {% endfor %} +
    + + +``` + +about.html + +```html + + + + + + {{title}} + + + + +

    关于{{name}}

    + + +``` + +post.html + +```html + + + + + + {{title}} + + + + +

    {{name}}

    +

    当前路径: {{path}}

    +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + + +``` + +现在，让我们添加一个接收表单数据的路由。我们使用POST方法，因为我们将收到表单数据。 + +```py +# 导入flask +from flask import Flask, render_template, request, redirect, url_for +import os # 导入操作系统模块 + +app = Flask(__name__) + +@app.route('/') # 这个装饰器创建主页路由 +def home(): + techs = ['HTML', 'CSS', 'Flask', 'Python'] + name = '30天Python编程挑战' + return render_template('home.html', techs=techs, name=name, title='主页') + +@app.route('/about') +def about(): + name = '30天Python编程挑战' + return render_template('about.html', name=name, title='关于我们') + +@app.route('/post') +def post(): + name = '文章' + return render_template('post.html', name=name, title='文章') + + +@app.route('/result', methods=['POST']) +def result(): + first_name = request.form['first_name'] + last_name = request.form['last_name'] + old_job = request.form['old_job'] + current_job = request.form['current_job'] + country = request.form['country'] + print(first_name, last_name, old_job, current_job, country) + result_data = { + 'first_name':first_name, + 'last_name':last_name, + 'old_job': old_job, + 'current_job': current_job, + 'country':country + } + return render_template('result.html', result_data = result_data, title= '结果') + +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +result.html + +```html + + + + + + {{title}} + + + + +

    表单数据

    + +
      +
    • 第一名字: {{result_data.first_name}}
      • +
    • 姓氏: {{result_data.last_name}}
      • +
    • 旧工作: {{result_data.old_job}}
      • +
    • 当前工作: {{result_data.current_job}}
      • +
    • 国家: {{result_data.country}}
      • +
    + + +``` + +在现实世界中，我们不会在所有页面中重复HTML代码。而是创建一个布局并将其继承到其他文件中。让我们使用继承（模板）。现在，我们需要创建的不是三个不同的文件，而是一个名为layout.html的布局文件。然后其他文件将继承它。 + +### 创建布局 + +layout.html + +```html + + + + + + + + {% if title %} + 30天Python - {{ title}} + {% else %} + 30天Python + {% endif %} + + + +
    +
    + + +
    +
    +
    + {% block content %} {% endblock %} +
    + + +``` + +在上面的布局中，我们创建了一个可以被所有继承布局的页面使用的公共布局。在布局内部，我们可以看到导航链接。我们使用{% block content %}{% endblock %}标记以允许子模板添加内容。 + +home.html + +```html +{% extends 'layout.html' %} {% block content %} +
    +

    欢迎回到{{name}}

    +

    + 这个项目是通过使用以下技术构建的: + Flask, Python + and HTML CSS +

    +
      + {% for tech in techs %} +
    • {{tech}}
      • + + {% endfor %} +
    +
    + +{% endblock %} +``` + +about.html + +```html +{% extends 'layout.html' %} {% block content %} +
    +

    关于{{name}}

    +

    + 这个挑战是一个30天编程挑战，旨在帮助你学习Python编程语言，通过每天解决一个Python问题。 +

    +
    +{% endblock %} +``` + +post.html + +```html +{% extends 'layout.html' %} {% block content %} +
    +

    {{name}}

    +

    {{path}}

    +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    +
    + +{% endblock %} +``` + +result.html + +```html +{% extends 'layout.html' %} {% block content %} +
    +

    表单数据

    +
      +
    • 第一名字: {{result_data.first_name}}
      • +
    • 姓氏: {{result_data.last_name}}
      • +
    • 旧工作: {{result_data.old_job}}
      • +
    • 当前工作: {{result_data.current_job}}
      • +
    • 国家: {{result_data.country}}
      • +
    +
    + +{% endblock %} +``` + +#### 提供静态文件 + +以下是main.css文件，我们将把它放在static/css目录中： + +```css +/* === GENERAL === */ +body { + margin: 0; + padding: 0; + font-family: "Lato", sans-serif; + background-color: #f0f8ea; +} + +.container { + max-width: 80%; + margin: auto; + padding: 30px; +} + +ul { + list-style-type: none; + padding: 0; +} + +.tech { + color: #5bbc2e; +} + +/* === HEADER === */ +header { + background-color: #5bbc2e; +} + +.menu-container { + display: flex; + justify-content: space-between; + padding: 20px 30px; +} + +.brand-name { + color: white; + font-weight: 800; + font-size: 24px; +} + +.nav-lists { + display: flex; +} + +.nav-list { + margin-right: 15px; +} + +.nav-link { + text-decoration: none; + color: white; + font-weight: 300; +} + +/* === FORM === */ + +form { + margin: 30px 0; + border: 1px solid #ddd; + padding: 30px; + border-radius: 10px; +} + +form > div { + margin-bottom: 15px; +} + +input { + width: 100%; + padding: 10px; + border: 1px solid #ddd; + border-radius: 5px; + outline: 0; + font-size: 16px; + box-sizing: border-box; + margin-top: 5px; +} + +button { + padding: 12px 24px; + border: 0; + background-color: #5bbc2e; + color: white; + border-radius: 10px; + font-size: 16px; + outline: 0; + cursor: pointer; +} + +button:hover { + background-color: #4b9c25; +} +``` + +### 部署 + +#### 创建Heroku账户 + +Heroku提供了一个免费的托管服务。如果你想要部署一个应用程序，你应该有一个Heroku账户。 + +#### 登录Heroku + +```sh +asabeneh@Asabeneh:~/Desktop/python_for_web$ heroku login +heroku: Press any key to open up the browser to login or q to exit: +Opening browser to https://cli-auth.heroku.com/auth/cli/browser/ec0972d5-d8c6-4adf-b004-a42a22dd09a8 +Logging in... done +Logged in as asabeneh@gmail.com +asabeneh@Asabeneh:~/Desktop/python_for_web$ +``` + +#### 创建requirements和Procfile + +在部署应用程序之前，我们需要告诉Heroku哪些依赖包需要安装，以及如何运行应用程序。Heroku使用requirements.txt文件获取应用程序依赖包的信息。使用pip freeze命令列出所有依赖包及其版本，并将其写入requirements.txt。 + +```sh +asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze +Click==7.0 +Flask==1.1.1 +itsdangerous==1.1.0 +Jinja2==2.10.3 +MarkupSafe==1.1.1 +Werkzeug==0.16.0 +asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze > requirements.txt +``` + +Procfile告诉Heroku如何运行应用程序。在本例中，我们使用Gunicorn作为WSGI HTTP服务器，用于运行Python Web应用程序。我们需要将Gunicorn添加到我们的依赖包中。 + +```sh +asabeneh@Asabeneh:~/Desktop/python_for_web$ pip install gunicorn +asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze > requirements.txt +``` + +现在，让我们创建一个Procfile，并添加以下内容： + +```sh +web: gunicorn app:app +``` + +#### 将项目推送到Heroku + +```sh +asabeneh@Asabeneh:~/Desktop/python_for_web$ heroku create 30-days-of-python-app +Creating ⬢ 30-days-of-python-app... done +https://30-days-of-python-app.herokuapp.com/ | https://git.heroku.com/30-days-of-python-app.git +asabeneh@Asabeneh:~/Desktop/python_for_web$ git init +Initialized empty Git repository in /home/asabeneh/Desktop/python_for_web/.git/ +asabeneh@Asabeneh:~/Desktop/python_for_web$ heroku git:remote -a 30-days-of-python-app +set git remote heroku to https://git.heroku.com/30-days-of-python-app.git +asabeneh@Asabeneh:~/Desktop/python_for_web$ echo -e "venv\n.vscode" > .gitignore +asabeneh@Asabeneh:~/Desktop/python_for_web$ git add . +asabeneh@Asabeneh:~/Desktop/python_for_web$ git commit -m "first python web app" +[master (root-commit) 9dfcc6a] first python web app + 9 files changed, 403 insertions(+) + create mode 100644 .gitignore + create mode 100644 Procfile + create mode 100644 app.py + create mode 100644 requirements.txt + create mode 100644 static/css/main.css + create mode 100644 templates/about.html + create mode 100644 templates/home.html + create mode 100644 templates/layout.html + create mode 100644 templates/post.html + create mode 100644 templates/result.html +asabeneh@Asabeneh:~/Desktop/python_for_web$ git push heroku master +Enumerating objects: 14, done. +Counting objects: 100% (14/14), done. +Delta compression using up to 2 threads +Compressing objects: 100% (12/12), done. +Writing objects: 100% (14/14), 6.08 KiB | 1.52 MiB/s, done. +Total 14 (delta 2), reused 0 (delta 0) +remote: Compressing source files... done. +remote: Building source: +remote: +remote: -----> Python app detected +remote: -----> Installing python-3.6.10 +remote: -----> Installing pip +remote: -----> Installing dependencies with Pipenv 2018.5.18… +remote: Installing dependencies from Pipfile.lock (872ae5)… +remote: -----> Installing SQLite3 +remote: -----> $ python manage.py collectstatic --noinput +remote: Traceback (most recent call last): +remote: File "manage.py", line 10, in +remote: from app import app +remote: ModuleNotFoundError: No module named 'app' +remote: +remote: ! Error while running '$ python manage.py collectstatic --noinput'. +remote: See traceback above for details. +remote: +remote: You may need to update application code to resolve this error. +remote: Or, you can disable collectstatic for this application: +remote: +remote: $ heroku config:set DISABLE_COLLECTSTATIC=1 +remote: +remote: https://devcenter.heroku.com/articles/django-assets +remote: -----> Discovering process types +remote: Procfile declares types -> web +remote: +remote: -----> Compressing... +remote: Done: 55.7M +remote: -----> Launching... +remote: Released v3 +remote: https://30-days-of-python-app.herokuapp.com/ deployed to Heroku +remote: +remote: Verifying deploy... done. +To https://git.heroku.com/30-days-of-python-app.git + * [new branch] master -> master +asabeneh@Asabeneh:~/Desktop/python_for_web$ +``` + +如你所见，我们已经成功地创建了第一个网络应用程序、对其进行部署，并将其托管在Heroku上。您可以使用此[链接](https://30-days-of-python-app.herokuapp.com/)尝试本应用程序。 + +事不宜迟，让我们做一些练习，巩固所学到的知识。 + +## 练习：第26天 + +1. 创建一个名为"成绩计算器"的Flask应用程序。用户可以输入他们的分数、科目名称，然后应用程序应根据分数显示不同的消息： + - 如果分数≥90，显示"优秀！你的[科目]成绩是[分数]"。 + - 如果80≤分数<90，显示"很好！你的[科目]成绩是[分数]"。 + - 如果70≤分数<80，显示"一般！你的[科目]成绩是[分数]"。 + - 如果60≤分数<70，显示"及格！你的[科目]成绩是[分数]"。 + - 如果分数<60，显示"你需要更加努力！你的[科目]成绩是[分数]"。 + +2. 创建一个"体重指数计算器"应用程序，计算体重指数(BMI)，公式为体重(kg)/(身高(m)²)。根据BMI值显示不同的健康状态： + - BMI<18.5："体重过轻" + - 18.5≤BMI<24.9："健康体重" + - 25≤BMI<29.9："超重" + - BMI≥30："肥胖" + +3. 创建一个博客应用程序，用户可以添加、编辑和删除博客文章。 + +4. 创建一个"任务管理器"应用程序，用户可以添加、查看和删除任务。 + +🎉 恭喜！🎉 + +[<< 第 25 天](./25_pandas_cn.md) | [第 27 天 >>](./27_python_with_mongodb_cn.md) \ No newline at end of file diff --git a/Chinese/27_python_with_mongodb_cn.md b/Chinese/27_python_with_mongodb_cn.md new file mode 100644 index 000000000..f9a6279e1 --- /dev/null +++ b/Chinese/27_python_with_mongodb_cn.md @@ -0,0 +1,632 @@ +# 30天Python编程挑战：第27天 - Python与MongoDB + +- [第27天](#-第27天) +- [Python与MongoDB](#python与mongodb) + - [MongoDB](#mongodb) + - [SQL与NoSQL的比较](#sql与nosql的比较) + - [获取连接字符串(MongoDB URI)](#获取连接字符串mongodb-uri) + - [将Flask应用程序连接到MongoDB集群](#将flask应用程序连接到mongodb集群) + - [创建数据库和集合](#创建数据库和集合) + - [向集合中插入多个文档](#向集合中插入多个文档) + - [MongoDB查找](#mongodb查找) + - [使用查询进行查找](#使用查询进行查找) + - [使用修饰符的查询查找](#使用修饰符的查询查找) + - [限制文档数量](#限制文档数量) + - [使用排序进行查找](#使用排序进行查找) + - [使用查询进行更新](#使用查询进行更新) + - [删除文档](#删除文档) + - [删除集合](#删除集合) + - [💻 练习：第27天](#-练习第27天) + +# 📘 第27天 + +# Python与MongoDB + +Python是一种后端技术，可以与不同的数据库应用程序连接。它可以连接到SQL和NoSQL数据库。在本节中，我们将Python与MongoDB数据库连接，MongoDB是一种NoSQL数据库。 + +## MongoDB + +MongoDB是一种NoSQL数据库。MongoDB以类似JSON的文档形式存储数据，这使得MongoDB非常灵活和可扩展。让我们看看SQL和NoSQL数据库的不同术语。下表将展示SQL与NoSQL数据库之间的区别。 + +### SQL与NoSQL的比较 + +![SQL与NoSQL](../images/mongoDB/sql-vs-nosql.png) + +在本节中，我们将重点关注NoSQL数据库MongoDB。通过点击注册按钮，然后在下一页点击注册，让我们在[mongoDB](https://www.mongodb.com/)上注册。 + +![MongoDB注册页面](../images/mongoDB/mongodb-signup-page.png) + +完成表格并点击继续 + +![MongoDB注册](../images/mongoDB/mongodb-register.png) + +选择免费计划 + +![MongoDB免费计划](../images/mongoDB/mongodb-free.png) + +选择最近的免费区域，并为你的集群命名。 + +![MongoDB集群名称](../images/mongoDB/mongodb-cluster-name.png) + +现在，一个免费的沙箱已创建 + +![MongoDB沙箱](../images/mongoDB/mongodb-sandbox.png) + +允许所有本地主机访问 + +![MongoDB允许IP访问](../images/mongoDB/mongodb-allow-ip-access.png) + +添加用户和密码 + +![MongoDB添加用户](../images/mongoDB/mongodb-add-user.png) + +创建MongoDB URI链接 + +![MongoDB创建URI](../images/mongoDB/mongodb-create-uri.png) + +选择Python 3.6或更高版本的驱动程序 + +![MongoDB Python驱动程序](../images/mongoDB/mongodb-python-driver.png) + +### 获取连接字符串(MongoDB URI) + +复制连接字符串链接，你将获得类似这样的内容： + +```sh +mongodb+srv://asabeneh:@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority +``` + +不要担心这个URL，它是连接你的应用程序与mongoDB的一种方式。 +让我们用你添加用户时使用的密码替换密码占位符。 + +**示例：** + +```sh +mongodb+srv://asabeneh:123123123@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority +``` + +现在，我已经替换了所有内容，密码是123123123，数据库名称是*thirty_days_python*。这只是一个示例，你的密码必须比示例密码更强。 + +Python需要mongoDB驱动程序才能访问mongoDB数据库。我们将使用_pymongo_和_dnspython_来连接我们的应用程序与mongoDB基础。在你的项目目录中安装pymongo和dnspython。 + +```sh +pip install pymongo dnspython +``` + +要使用mongodb+srv://URI，必须安装"dnspython"模块。dnspython是用于Python的DNS工具包。它支持几乎所有记录类型。 + +### 将Flask应用程序连接到MongoDB集群 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +print(client.list_database_names()) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +当我们运行上面的代码时，我们会得到默认的mongoDB数据库。 + +```sh +['admin', 'local'] +``` + +### 创建数据库和集合 + +让我们创建一个数据库，如果数据库和集合在mongoDB中不存在，它们将被创建。让我们创建一个名为*thirty_days_of_python*的数据库和*students*集合。 + +创建数据库的方法： + +```sh +db = client.name_of_databse # 我们可以这样创建数据库，或者使用第二种方式 +db = client['name_of_database'] +``` + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +# 创建数据库 +db = client.thirty_days_of_python +# 创建students集合并插入文档 +db.students.insert_one({'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250}) +print(client.list_database_names()) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +在创建数据库后，我们还创建了一个students集合，并使用*insert_one()*方法插入了一个文档。 +现在，数据库*thirty_days_of_python*和*students*集合已经创建，并且文档已经插入。 +检查你的mongoDB集群，你将看到数据库和集合。在集合内部，将有一个文档。 + +```sh +['thirty_days_of_python', 'admin', 'local'] +``` + +如果你在mongoDB集群上看到这个，这意味着你已经成功创建了一个数据库和一个集合。 + +![创建数据库和集合](../images/mongoDB/mongodb-creating_database.png) + +如果你看到上图，文档已经创建，并带有一个长ID作为主键。每次我们创建一个文档，mongoDB都会为它创建一个唯一的ID。 + +### 向集合中插入多个文档 + +*insert_one()*方法一次插入一个项目，如果我们想一次插入多个文档，我们可以使用*insert_many()*方法或for循环。 +我们可以使用for循环一次插入多个文档。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) + +students = [ + {'name':'David','country':'UK','city':'London','age':34}, + {'name':'John','country':'Sweden','city':'Stockholm','age':28}, + {'name':'Sami','country':'Finland','city':'Helsinki','age':25}, + ] +for student in students: + db.students.insert_one(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +### MongoDB查找 + +*find()*和*findOne()*方法是在mongoDB数据库集合中查找数据的常用方法。它类似于MySQL数据库中的SELECT语句。 +让我们使用_find_one()_方法来获取数据库集合中的一个文档。 + +- \*find_one({"\_id": ObjectId("id"}): 如果没有提供id，则获取第一次出现的文档 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +student = db.students.find_one() +print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Helsinki', 'city': 'Helsinki', 'age': 250} +``` + +上面的查询返回第一个条目，但我们可以使用特定的\_id来定位特定的文档。让我们做一个例子，使用David的id来获取David对象。 +'\_id':ObjectId('5df68a23f106fe2d315bbc8c') + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +from bson.objectid import ObjectId # id对象 +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +student = db.students.find_one({'_id':ObjectId('5df68a23f106fe2d315bbc8c')}) +print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +``` + +我们已经看到如何使用上面的例子来使用_find_one()_。让我们进一步了解_find()_ + +- _find()_: 如果我们不传递查询对象，返回集合中的所有出现。该对象是pymongo.cursor对象。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +students = db.students.find() +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +我们可以通过在_find({}, {})_中传递第二个对象来指定要返回的字段。0表示不包含，1表示包含，但我们不能混合使用0和1，除了\_id。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +students = db.students.find({}, {"_id":0, "name": 1, "country":1}) # 0表示不包含，1表示包含 +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'name': 'Asabeneh', 'country': 'Finland'} +{'name': 'David', 'country': 'UK'} +{'name': 'John', 'country': 'Sweden'} +{'name': 'Sami', 'country': 'Finland'} +``` + +### 使用查询进行查找 + +在mongoDB中，find接受一个查询对象。我们可以传递一个查询对象，我们可以过滤我们想要过滤的文档。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +query = { + "country":"Finland" +} +students = db.students.find(query) + +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +带有修饰符的查询 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +query = { + "city":"Helsinki" +} +students = db.students.find(query) +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +### 使用修饰符的查询查找 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +query = { + "country":"Finland", + "city":"Helsinki" +} +students = db.students.find(query) +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +带有修饰符的查询 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +query = {"age":{"$gt":30}} +students = db.students.find(query) +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +``` + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +query = {"age":{"$lt":30}} +students = db.students.find(query) +for student in students: + print(student) +``` + +```sh +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +### 限制文档数量 + +我们可以使用_limit()_方法来限制我们返回的文档数量。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +db.students.find().limit(3) +``` + +### 使用排序进行查找 + +默认情况下，排序是升序的。我们可以通过添加-1参数将排序更改为降序。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +students = db.students.find().sort('name') +for student in students: + print(student) + +students = db.students.find().sort('name',-1) +for student in students: + print(student) + +students = db.students.find().sort('age') +for student in students: + print(student) + +students = db.students.find().sort('age',-1) +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +升序 + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +降序 + +```sh +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +``` + +### 使用查询进行更新 + +我们将使用*update_one()*方法来更新一个项目。它接受两个对象，一个是查询，另一个是新对象。 +第一个人，Asabeneh得到了一个非常不合理的年龄。让我们更新Asabeneh的年龄。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +query = {'age':250} +new_value = {'$set':{'age':38}} + +db.students.update_one(query, new_value) +# 让我们检查结果，看看年龄是否被修改 +for student in db.students.find(): + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 38} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +当我们想要一次更新多个文档时，我们使用*upate_many()*方法。 + +### 删除文档 + +方法*delete_one()*删除一个文档。*delete_one()*方法接受一个查询对象参数。它只删除第一次出现的文档。 +让我们从集合中删除一个John。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +query = {'name':'John'} +db.students.delete_one(query) + +for student in db.students.find(): + print(student) +# 让我们检查结果，看看年龄是否被修改 +for student in db.students.find(): + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # 部署时我们使用环境变量 + # 使其同时适用于生产和开发环境 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 38} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +如你所见，John已经从集合中删除。 + +当我们想要删除多个文档时，我们使用*delete_many()*方法，它接受一个查询对象。如果我们将一个空的查询对象传递给*delete_many({})*，它将删除集合中的所有文档。 + +### 删除集合 + +使用_drop()_方法，我们可以从数据库中删除一个集合。 + +```py +# 导入flask +from flask import Flask, render_template +import os # 导入操作系统模块 +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 +db.students.drop() +``` + +现在，我们已经从数据库中删除了students集合。 + +## 💻 练习：第27天 + +🎉 恭喜！🎉 + +[<< 第 26 天](./26_python_web_cn.md) | [第 28 天 >>](./28_API_cn.md) \ No newline at end of file diff --git a/Chinese/28_API_cn.md b/Chinese/28_API_cn.md new file mode 100644 index 000000000..b506a5339 --- /dev/null +++ b/Chinese/28_API_cn.md @@ -0,0 +1,143 @@ +# 30天Python编程挑战：第28天 - API + +- [第28天](#-第28天) +- [应用程序编程接口(API)](#应用程序编程接口api) + - [API](#api) + - [构建API](#构建api) + - [HTTP(超文本传输协议)](#http超文本传输协议) + - [HTTP的结构](#http的结构) + - [初始请求行(状态行)](#初始请求行状态行) + - [初始响应行(状态行)](#初始响应行状态行) + - [头字段](#头字段) + - [消息体](#消息体) + - [请求方法](#请求方法) + - [💻 练习：第28天](#-练习第28天) + +# 📘 第28天 + +# 应用程序编程接口(API) + +## API + +API是应用程序编程接口(Application Programming Interface)的缩写。我们在本节中将介绍的API类型是Web API。 +Web API是定义好的接口，通过这些接口在企业和使用其资产的应用程序之间进行交互，这也是一种服务级别协议(SLA)，用于指定功能提供者并为其API用户公开服务路径或URL。 + +在Web开发的上下文中，API被定义为一组规范，如超文本传输协议(HTTP)请求消息，以及响应消息结构的定义，通常采用XML或JavaScript对象表示法(JSON)格式。 + +Web API已经从基于简单对象访问协议(SOAP)的Web服务和面向服务的架构(SOA)转向更直接的表征状态转移(REST)风格的Web资源。 + +社交媒体服务和Web API已经允许Web社区在社区和不同平台之间共享内容和数据。 + +使用API，在一个地方创建的内容可以动态地在Web上的多个位置发布和更新。 + +例如，Twitter的REST API允许开发人员访问核心Twitter数据，而搜索API提供了开发人员与Twitter搜索和趋势数据互动的方法。 + +许多应用程序提供API端点。一些API的例子，如国家[API](https://restcountries.eu/rest/v2/all)，[猫品种API](https://api.thecatapi.com/v1/breeds)。 + +在本节中，我们将介绍一个RESTful API，它使用HTTP请求方法来GET、PUT、POST和DELETE数据。 + +## 构建API + +RESTful API是一种应用程序编程接口(API)，使用HTTP请求来GET、PUT、POST和DELETE数据。在前几节中，我们学习了Python、Flask和MongoDB。我们将利用我们获得的知识，使用Python Flask和MongoDB数据库开发一个RESTful API。每个具有CRUD(创建、读取、更新、删除)操作的应用程序都有一个API，用于从数据库创建数据、获取数据、更新数据或删除数据。 + +要构建API，了解HTTP协议和HTTP请求、响应周期是很好的。 + +## HTTP(超文本传输协议) + +HTTP是客户端和服务器之间建立的通信协议。在这种情况下，客户端是浏览器，服务器是你访问数据的地方。HTTP是一种网络协议，用于传递资源，这些资源可以是万维网上的文件，无论是HTML文件、图像文件、查询结果、脚本或其他文件类型。 + +浏览器是HTTP客户端，因为它向HTTP服务器(Web服务器)发送请求，而HTTP服务器再向客户端发送响应。 + +## HTTP的结构 + +HTTP使用客户端-服务器模型。HTTP客户端打开一个连接并向HTTP服务器发送请求消息，HTTP服务器返回响应消息，即请求的资源。当请求响应周期完成时，服务器关闭连接。 + +![HTTP请求响应周期](../images/http_request_response_cycle.png) + +请求和响应消息的格式类似。两种消息都有 + +- 一个初始行 +- 零个或多个头行 +- 一个空行(即单独的CRLF) +- 一个可选的消息体(例如文件、查询数据或查询输出) + +让我们通过导航此站点来看一个请求和响应消息的示例：https://thirtydaysofpython-v1-final.herokuapp.com/ 。这个网站已部署在Heroku免费dyno上，在某些月份可能由于高请求量而无法工作。支持这项工作可以让服务器始终运行。 + +![请求和响应头](../images/request_response_header.png) + +## 初始请求行(状态行) + +初始请求行与响应不同。 +请求行有三个部分，用空格分隔： + +- 方法名(GET、POST、HEAD) +- 请求资源的路径 +- 使用的HTTP版本。例如 GET / HTTP/1.1 + +GET是最常见的HTTP方法，用于获取或读取资源，而POST是常见的请求方法，用于创建资源。 + +### 初始响应行(状态行) + +初始响应行，称为状态行，也有三个用空格分隔的部分： + +- HTTP版本 +- 响应状态码，给出请求的结果，以及描述状态码的原因。状态行的例子有： + HTTP/1.0 200 OK + 或者 + HTTP/1.0 404 Not Found + 注意： + +最常见的状态码是： +200 OK：请求成功，并且生成的资源(例如文件或脚本输出)在消息体中返回。 +500 服务器错误 +完整的HTTP状态码列表可以在[这里](https://httpstatuses.com/)找到。也可以在[这里](https://httpstatusdogs.com/)找到。 + +### 头字段 + +正如你在上面的截图中看到的，头行提供了有关请求或响应的信息，或者有关在消息体中发送的对象的信息。 + +```sh +GET / HTTP/1.1 +Host: thirtydaysofpython-v1-final.herokuapp.com +Connection: keep-alive +Pragma: no-cache +Cache-Control: no-cache +Upgrade-Insecure-Requests: 1 +User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.79 Safari/537.36 +Sec-Fetch-User: ?1 +Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9 +Sec-Fetch-Site: same-origin +Sec-Fetch-Mode: navigate +Referer: https://thirtydaysofpython-v1-final.herokuapp.com/post +Accept-Encoding: gzip, deflate, br +Accept-Language: en-GB,en;q=0.9,fi-FI;q=0.8,fi;q=0.7,en-CA;q=0.6,en-US;q=0.5,fr;q=0.4 +``` + +### 消息体 + +HTTP消息可能在头行之后发送数据体。在响应中，这是请求的资源返回给客户端的地方(消息体最常用的用途)，或者如果出现错误，这里可能是解释性文本。在请求中，这是用户输入的数据或上传的文件发送到服务器的地方。 + +如果HTTP消息包含一个消息体，通常在消息中有描述该消息体的头行。特别是： + +Content-Type: 头给出消息体中数据的MIME类型(text/html，application/json，text/plain，text/css，image/gif)。 +Content-Length: 头给出消息体中的字节数。 + +### 请求方法 + +GET、POST、PUT和DELETE是我们将实现API或CRUD操作应用程序的HTTP请求方法。 + +1. GET：GET方法用于使用给定的URI从给定服务器检索和获取信息。使用GET的请求应该只检索数据，而不应该对数据有任何其他影响。 + +2. POST：POST请求用于创建数据并将数据发送到服务器，例如使用HTML表单创建新帖子、上传文件等。 + +3. PUT：用上传的内容替换目标资源的所有当前表示，我们使用它来修改或更新数据。 + +4. DELETE：删除数据 + +## 💻 练习：第28天 + +1. 阅读有关API和HTTP的资料 + +🎉 恭喜！🎉 + +[<< 第 27 天](./27_python_with_mongodb_cn.md) | [第 29 天 >>](./29_building_API_cn.md) \ No newline at end of file diff --git a/Chinese/29_building_API_cn.md b/Chinese/29_building_API_cn.md new file mode 100644 index 000000000..39987e69c --- /dev/null +++ b/Chinese/29_building_API_cn.md @@ -0,0 +1,460 @@ +# 30天Python编程挑战：第29天 - 构建API + +- [第29天](#第29天) +- [构建API](#构建api) + - [API的结构](#api的结构) + - [使用GET获取数据](#使用get获取数据) + - [通过ID获取文档](#通过id获取文档) + - [使用POST创建数据](#使用post创建数据) + - [使用PUT更新](#使用put更新) + - [使用Delete删除文档](#使用delete删除文档) +- [💻 练习：第29天](#-练习第29天) + +## 第29天 + +## 构建API + +在本节中，我们将介绍一个RESTful API，它使用HTTP请求方法来GET、PUT、POST和DELETE数据。 + +RESTful API是一种应用程序编程接口(API)，使用HTTP请求来GET、PUT、POST和DELETE数据。在前几节中，我们学习了Python、Flask和MongoDB。我们将利用我们获得的知识，使用Python Flask和MongoDB开发一个RESTful API。每个具有CRUD(创建、读取、更新、删除)操作的应用程序都有一个API，用于从数据库创建数据、获取数据、更新数据或删除数据。 + +浏览器只能处理GET请求。因此，我们必须有一个工具，可以帮助我们处理所有请求方法(GET、POST、PUT、DELETE)。 + +API示例： + +- 国家API：https://restcountries.eu/rest/v2/all +- 猫品种API：https://api.thecatapi.com/v1/breeds + +[Postman](https://www.getpostman.com/)是API开发领域非常流行的工具。所以，如果你想完成本节内容，你需要[下载Postman](https://www.getpostman.com/)。Postman的替代品是[Insomnia](https://insomnia.rest/download)。 + +![Postman](../images/postman.png) + +### API的结构 + +API端点是一个可以帮助检索、创建、更新或删除资源的URL。结构如下所示： +示例： +https://api.twitter.com/1.1/lists/members.json +返回指定列表的成员。只有当经过身份验证的用户拥有指定列表时，才会显示私人列表成员。 +公司名称后跟版本，然后是API的目的。 +方法： +HTTP方法和URL + +API使用以下HTTP方法进行对象操作： + +```sh +GET 用于对象检索 +POST 用于对象创建和对象操作 +PUT 用于对象更新 +DELETE 用于对象删除 +``` + +让我们构建一个收集关于30DaysOfPython学生信息的API。我们将收集姓名、国家、城市、出生日期、技能和个人简介。 + +为了实现这个API，我们将使用： + +- Postman +- Python +- Flask +- MongoDB + +### 使用GET获取数据 + +在这一步中，让我们使用虚拟数据并将其作为json返回。为了将其作为json返回，我们将使用json模块和Response模块。 + +```py +# 导入flask + +from flask import Flask, Response +import json + +app = Flask(__name__) + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + student_list = [ + { + 'name':'Asabeneh', + 'country':'Finland', + 'city':'Helsinki', + 'skills':['HTML', 'CSS','JavaScript','Python'] + }, + { + 'name':'David', + 'country':'UK', + 'city':'London', + 'skills':['Python','MongoDB'] + }, + { + 'name':'John', + 'country':'Sweden', + 'city':'Stockholm', + 'skills':['Java','C#'] + } + ] + return Response(json.dumps(student_list), mimetype='application/json') + + +if __name__ == '__main__': + # 部署时使用 + # 使其在生产和开发环境中都能工作 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +当你在浏览器上请求http://localhost:5000/api/v1.0/students URL时，你将获得以下内容： + +![在浏览器上的GET](../images/get_on_browser.png) + +当你在Postman上请求http://localhost:5000/api/v1.0/students URL时，你将获得以下内容： + +![在Postman上的GET](../images/get_on_postman.png) + +我们不再显示虚拟数据，而是将Flask应用程序与MongoDB连接，并从MongoDB数据库获取数据。 + +```py +# 导入flask + +from flask import Flask, Response +import json +import pymongo + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') + + +if __name__ == '__main__': + # 部署时使用 + # 使其在生产和开发环境中都能工作 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +通过连接Flask，我们可以从thirty_days_of_python数据库中获取学生集合数据。 + +```sh +[ + { + "_id": { + "$oid": "5df68a21f106fe2d315bbc8b" + }, + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "age": 38 + }, + { + "_id": { + "$oid": "5df68a23f106fe2d315bbc8c" + }, + "name": "David", + "country": "UK", + "city": "London", + "age": 34 + }, + { + "_id": { + "$oid": "5df68a23f106fe2d315bbc8e" + }, + "name": "Sami", + "country": "Finland", + "city": "Helsinki", + "age": 25 + } +] +``` + +### 通过ID获取文档 + +我们可以使用ID访问单个文档，让我们使用ID访问Asabeneh。 +http://localhost:5000/api/v1.0/students/5df68a21f106fe2d315bbc8b + +```py +# 导入flask + +from flask import Flask, Response +import json +from bson.objectid import ObjectId +import json +from bson.json_util import dumps +import pymongo + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students/', methods = ['GET']) +def single_student (id): + student = db.students.find({'_id':ObjectId(id)}) + return Response(dumps(student), mimetype='application/json') + +if __name__ == '__main__': + # 部署时使用 + # 使其在生产和开发环境中都能工作 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +[ + { + "_id": { + "$oid": "5df68a21f106fe2d315bbc8b" + }, + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "age": 38 + } +] +``` + +### 使用POST创建数据 + +我们使用POST请求方法创建数据 + +```py +# 导入flask + +from flask import Flask, Response +import json +from bson.objectid import ObjectId +import json +from bson.json_util import dumps +import pymongo +from datetime import datetime + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students/', methods = ['GET']) +def single_student (id): + student = db.students.find({'_id':ObjectId(id)}) + return Response(dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students', methods = ['POST']) +def create_student (): + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.insert_one(student) + return ; +def update_student (id): +if __name__ == '__main__': + # 部署时使用 + # 使其在生产和开发环境中都能工作 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +### 使用PUT更新 + +```py +# 导入flask + +from flask import Flask, Response +import json +from bson.objectid import ObjectId +import json +from bson.json_util import dumps +import pymongo +from datetime import datetime + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students/', methods = ['GET']) +def single_student (id): + student = db.students.find({'_id':ObjectId(id)}) + return Response(dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students', methods = ['POST']) +def create_student (): + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.insert_one(student) + return +@app.route('/api/v1.0/students/', methods = ['PUT']) # 这个装饰器创建主页路由 +def update_student (id): + query = {"_id":ObjectId(id)} + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.update_one(query, student) + # return Response(dumps({"result":"a new student has been created"}), mimetype='application/json') + return +def update_student (id): +if __name__ == '__main__': + # 部署时使用 + # 使其在生产和开发环境中都能工作 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +### 使用Delete删除文档 + +```py +# 导入flask + +from flask import Flask, Response +import json +from bson.objectid import ObjectId +import json +from bson.json_util import dumps +import pymongo +from datetime import datetime + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # 访问数据库 + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students/', methods = ['GET']) +def single_student (id): + student = db.students.find({'_id':ObjectId(id)}) + return Response(dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students', methods = ['POST']) +def create_student (): + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.insert_one(student) + return +@app.route('/api/v1.0/students/', methods = ['PUT']) # 这个装饰器创建主页路由 +def update_student (id): + query = {"_id":ObjectId(id)} + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.update_one(query, student) + # return Response(dumps({"result":"a new student has been created"}), mimetype='application/json') + return ; +@app.route('/api/v1.0/students/', methods = ['DELETE']) +def delete_student (id): + db.students.delete_one({"_id":ObjectId(id)}) + return +if __name__ == '__main__': + # 部署时使用 + # 使其在生产和开发环境中都能工作 + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +## 💻 练习：第29天 + +1. 实现上述示例并开发[这个](https://thirtydayofpython-api.herokuapp.com/) + +🎉 恭喜！🎉 + +[<< 第 28 天](./28_API_cn.md) | [第 30 天 >>](./30_conclusions_cn.md) \ No newline at end of file diff --git a/Chinese/30_conclusions_cn.md b/Chinese/30_conclusions_cn.md new file mode 100644 index 000000000..833c5e111 --- /dev/null +++ b/Chinese/30_conclusions_cn.md @@ -0,0 +1,22 @@ +# 30天Python编程挑战：第30天 - 总结 + +- [第30天](#第30天) + - [总结](#总结) + - [感言](#感言) + +# 第30天 + +## 总结 + +在准备这些材料的过程中，我学到了很多，你们也激励我做得更多。恭喜你达到这个水平。如果你完成了所有的练习和项目，现在你有能力走向数据分析、数据科学、机器学习或网络开发的道路。[支持作者提供更多教育材料](https://www.paypal.com/paypalme/asabeneh)。 + +## 感言 + +现在是时候表达你对作者和30天Python挑战的想法了。你可以在这个[链接](https://www.asabeneh.com/testimonials)上留下你的感言。 + +提供反馈： +http://thirtydayofpython-api.herokuapp.com/feedback + +🎉 恭喜！🎉 + +[<< 第 29 天](./29_building_API_cn.md) \ No newline at end of file diff --git a/Chinese/README.md b/Chinese/README.md new file mode 100644 index 000000000..bc0949770 --- /dev/null +++ b/Chinese/README.md @@ -0,0 +1,462 @@ +# 🐍 30 天 Python + +| # 天数 | 主题 | +| ------ | :--------------------------------------------------------------------------------------: | +| 01 | [介绍](./readme.md) | +| 02 | [变量，内置函数](./02_variables_builtin_functions.md) | +| 03 | [运算符](./03_operators.md) | +| 04 | [字符串](./04_strings.md) | +| 05 | [列表](./05_lists.md) | +| 06 | [元组](./06_tuples.md) | +| 07 | [集合](./07_sets.md) | +| 08 | [字典](./08_dictionaries.md) | +| 09 | [条件](./09_conditionals.md) | +| 10 | [循环](./10_loops.md) | +| 11 | [函数](./11_functions.md) | +| 12 | [模块](./12_modules.md) | +| 13 | [列表解析](./13_list_comprehension.md) | +| 14 | [高阶函数](./14_higher_order_functions.md) | +| 15 | [类型错误](./15_python_type_errors.md) | +| 16 | [Python 日期时间](./16_python_datetime.md) | +| 17 | [异常处理](./17_exception_handling.md) | +| 18 | [正则表达式](./18_regular_expressions.md) | +| 19 | [文件处理](./19_file_handling.md) | +| 20 | [包管理器](./20_python_package_manager.md) | +| 21 | [类和对象](./21_classes_and_objects.md) | +| 22 | [网页抓取](./22_web_scraping.md) | +| 23 | [虚拟环境](./23_virtual_environment.md) | +| 24 | [统计](./24_statistics.md) | +| 25 | [Pandas](./25_pandas.md) | +| 26 | [Python 网页](./26_python_web.md) | +| 27 | [Python 与 MongoDB](./27_python_with_mongodb.md) | +| 28 | [API](./28_API.md) | +| 29 | [构建 API](./29_building_API.md) | +| 30 | [结论](./30_conclusions.md) | + +🧡🧡🧡 快乐编码 🧡🧡🧡 + +
    +帮助 作者 创作更多教育材料
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    30 天 Python：第 1 天 - 介绍

    + + + + + Twitter Follow + + +作者： +Asabeneh Yetayeh
    + 第二版：2021 年 7 月 +     + +
    + +[第 2 天 >>](./02_variables_builtin_functions.md) + +![30DaysOfPython](.././images/30DaysOfPython_banner3@2x.png) + +- [🐍 30 天 Python](#-30-天-python) +- [📘 第 1 天](#-第-1-天) + - [欢迎！](#欢迎) + - [介绍](#介绍) + - [为什么选择 Python？](#为什么选择-python) + - [环境设置](#环境设置) + - [安装 Python](#安装-python) + - [Python Shell](#python-shell) + - [安装 Visual Studio Code](#安装-visual-studio-code) + - [如何使用 Visual Studio Code](#如何使用-visual-studio-code) + - [Python 基础](#python-基础) + - [Python 语法](#python-语法) + - [Python 缩进](#python-缩进) + - [注释](#注释) +- [示例：单行注释](#示例单行注释) +- [示例：多行注释，称为文档字符串](#示例多行注释称为文档字符串) + - [数据类型](#数据类型) + - [数字](#数字) + - [字符串](#字符串) + - [布尔值](#布尔值) + - [列表](#列表) + - [字典](#字典) + - [元组](#元组) + - [集合](#集合) + - [检查数据类型](#检查数据类型) + - [Python 文件](#python-文件) + - [💻 练习 - 第 1 天](#-练习---第-1-天) + - [练习：等级 1](#练习等级-1) + - [练习：等级 2](#练习等级-2) + - [练习：等级 3](#练习等级-3) + +# 📘 第 1 天 + +## 欢迎！ + +**恭喜** 你决定参加 _30 天 Python_ 编程挑战。在这个挑战中，你将学习成为一名 Python 程序员所需的一切以及所有编程概念。挑战结束时，你将获得 _30DaysOfPython_ 编程挑战证书。 + +如果你想积极参与挑战，可以加入 Telegram 群组 [30DaysOfPython challenge](https://t.me/ThirtyDaysOfPython)。 + +## 介绍 + +Python 是一种高级编程语言，适用于通用编程。它是一种开源、解释性和面向对象的编程语言。Python 由荷兰程序员 Guido van Rossum 创建。编程语言 Python 的名称来源于英国喜剧系列 _Monty Python's Flying Circus_。第一个版本于 1991 年 2 月 20 日发布。这个 30 天的 Python 挑战将帮助你逐步学习最新版本的 Python，Python 3。每一天都有不同的主题，包含易于理解的解释、现实世界的示例、大量的实际练习和项目。 + +本挑战适合初学者和希望学习 Python 编程语言的专业人士。完成挑战可能需要 30 到 100 天，积极参与 Telegram 群组的成员更有可能完成挑战。 + +本挑战易于阅读，最初以通俗英语编写，并翻译成中文，既具有吸引力、激励性，又具有很高的挑战性。你需要投入大量时间来完成这个挑战。如果你是通过观看学习效果更好的人，可以观看视频教程，访问 +Washera YouTube 频道 你可以从 [Python 对绝对初学者的视频](https://youtu.be/OCCWZheOesI) 开始。订阅频道，在 YouTube 视频中评论你的问题，并积极主动，作者最终会注意到你。 + +作者喜欢听取你对挑战的意见，分享文章并反馈你对 30DaysOfPython 挑战的看法。你可以在此处留下对文章的反馈：[link](https://www.asabeneh.com/testimonials) + +## 为什么选择 Python？ + +它是一种非常接近人类语言的编程语言，语法简单，因此易于学习和使用。 +Python 被各行各业和公司（包括 Google）使用。它被用于开发 Web 应用程序、桌面应用程序、系统管理和机器学习库。Python 在数据科学和机器学习社区中被广泛采用。希望这足以说服你开始学习 Python。 + +## 环境设置 + +### 安装 Python + +要运行用 Python 编写的脚本，你需要安装 Python。访问 [Python 下载页面](https://www.python.org/)。 + +如果你是 Windows 用户。点击红色圈出的按钮。 + +[![在 Windows 上安装](.././images/installing_on_windows.png)](https://www.python.org/) + +如果你是 MacOS 用户。点击红色圈出的按钮。 + +[![在 MacOS 上安装](.././images/installing_on_macOS.png)](https://www.python.org/) + +要检查是否安装了 Python，请在设备的终端中输入以下命令。 + +```shell +python --version +``` + +![Python Version](../images/python_versio.png) + +如你所见，在终端中，我当前使用的版本是 Python 3.7.5。你的 Python 版本可能与我的不同，但应为 3.6 或更高版本。如果你能看到 Python 版本，很好。Python 已安装在你的机器上。继续下一部分。 + +### Python Shell + +Python 是一种解释型脚本语言，因此不需要编译。这意味着它逐行执行代码。Python 附带一个 Python Shell (Python 交互式 Shell)，也称为 REPL (Read Eval Print Loop)。它用于执行单个 Python 命令并获得结果。 + +Python Shell 等待用户的 Python 代码。当输入代码时，它会解释并显示结果。 +打开终端或命令提示符 (cmd) 并输入： + +```shell +python +``` + +![Python Scripting Shell](../images/opening_python_shell.png) + +Python 交互式 Shell 已打开，等待你在该符号 >>> 旁边编写 Python 代码（Python 脚本）。编写第一个脚本并点击 Enter。 +让我们在 Python 脚本 Shell 中编写第一个脚本。 + +![Python script on Python shell](../images/adding_on_python_shell.png) + +非常好，你已经在 Python 交互式 Shell 中编写了第一个 Python 脚本。如何关闭 Python 交互式 Shell？ +要关闭 Shell，请在该符号 >>> 旁边输入命令 **exit()** 并按 Enter。 + +![Exit from python shell](../images/exit_from_shell.png) + +现在你知道如何打开 Python 交互式 Shell 以及如何退出它。 + +Python 将在你编写 Python 可理解的脚本时提供结果；否则，它将返回错误。让我们故意犯一个错误，看看 Python 返回什么。 + +![Invalid Syntax Error](../images/invalid_syntax_error.png) + +如你所见，返回的错误表明 Python 非常智能，它知道我们犯了语法错误：Syntax Error: Invalid Syntax。在 Python 中使用 x 作为乘法是语法错误，因为 (x) 不是 Python 中的有效语法。我们用星号 (\*) 来表示乘法而不是 (x)。返回的错误明确显示了需要修正的地方。 + +识别和删除程序中的错误的过程称为调试。让我们通过将 \* 替换为 x 来调试它。 + +![Fixing Syntax Error](../images/fixing_syntax_error.png) + +我们的错误已修复，代码已执行，并得到了我们期望的结果。作为程序员，你每天都会看到这种类型的错误。了解如何调试是很重要的。为了擅长调试，你必须了解所遇到的错误类型。你可能会遇到的 Python 错误类型有 _SyntaxError_, _IndexError_, _NameError_, _ModuleNotFoundError_, _KeyError_, _ImportError_, _AttributeError_, _TypeError_, _ValueError_, _ZeroDivisionError_ 等等。我们将在后面的部分详细了解不同类型的 Python 错误！ + +让我们更多地练习如何使用 Python 交互式 Shell。转到终端或命令提示符并输入单词 python。 + +![Python Scripting Shell](../images/opening_python_shell.png) + +Python 交互式 Shell 已打开。让我们做一些基本的数学运算（加法、减法、乘法、除法、取模、指数运算）。 + +在编写任何 Python 代码之前，让我们做一些数学运算： + +- 2 + 3 是 5 +- 3 - 2 是 1 +- 3 \* 2 是 6 +- 3 / 2 是 1.5 +- 3 \*_ 2 相当于 3 _ 3 + +在 Python 中，我们有以下附加运算： + +- 3 % 2 = 1 => 这意味着找到余数或（除法的模数） +- 3 // 2 = 1 => 这意味着删除除法的余数 + +让我们将上述数学表达式转换为 Python 代码。已打开 Python Shell，让我们在 Shell 的开头编写一个注释。 + +A _comment_ 是代码中未被 Python 执行的一部分，注释被 Python 解释器忽略。因此，我们可以在代码中留下某些文本以提高其可读性。Python 不执行注释部分。Python 中的注释以井号 (#) 符号开头。 +这就是你在 Python 中编写注释的方式： + +```python +# 注释以井号开头 +# 这是一个python注释，因为它以（#）符号开头 +``` + +![Maths on python shell](../images/maths_on_python_shell.png) + +在进入下一部分之前，让我们更多地练习 Python 交互式 Shell。通过在 Shell 中输入 _exit()_ 关闭已打开的 Shell，然后再次打开它，让我们练习如何在 Python Shell 中编写文本。 + +![Writing String on python shell](./images/writing_string_on_shell.png) + +### 安装 Visual Studio Code + +Python 交互式 Shell 非常适合测试小的脚本代码，但对于大型项目来说并不适用。在实际的工作环境中，开发人员使用不同的代码编辑器来编写代码。在这个 30 天的 Python 编程挑战中，我们将使用 Visual Studio Code。Visual Studio Code 是一个非常流行的开源文本编辑器。我是 vscode 的粉丝，并推荐下载 Visual Studio Code，但如果你喜欢其他编辑器，可以随意使用。 + +[![Visual Studio Code](../images/vscode.png)](https://code.visualstudio.com/) + +如果你已安装 Visual Studio Code，让我们看看如何使用它。 +如果你喜欢视频教程，你可以观看安装和配置 Visual Studio Code 以用于 Python 的[视频教程](https://www.youtube.com/watch?v=bn7Cx4z-vSo) + +#### 如何使用 Visual Studio Code + +通过双击 Visual Studio 图标打开 Visual Studio Code。打开后，你会看到类似的界面。尝试与标注的图标进行交互。 + +![Visual studio Code](../images/vscode_ui.png) + +在桌面上创建一个名为 30DaysOfPython 的文件夹。然后使用 Visual Studio Code 打开它。 + +![Opening Project on Visual studio](../images/how_to_open_project_on_vscode.png) + +![Opening a project](../images/opening_project.png) + +打开后，你会看到在 30DaysOfPython 项目目录中创建文件和文件夹的快捷方式。如下所示，我创建了第一个文件 helloworld.py。你也可以这样做。 + +![Creating a python file](../images/helloworld.png) + +经过长时间的编码，你想关闭你的代码编辑器，对吗？这是你关闭已打开项目的方法。 + +![Closing project](../images/closing_opened_project.png) + +恭喜你，完成了开发环境的设置。让我们开始编码。 + +## Python 基础 + +### Python 语法 + +Python 脚本可以在 Python 交互式 Shell 或代码编辑器中编写。Python 文件的扩展名为 .py。 + +### Python 缩进 + +缩进是文本中的空白。在许多语言中，缩进用于提高代码的可读性，但 Python 使用缩进来创建代码块。在其他编程语言中，使用大括号来创建代码块，而不是缩进。在 Python 中编写代码时，一个常见的错误是缩进错误。 + +![Indentation Error](../images/indentation.png) + +### 注释 + +注释对于提高代码的可读性和在代码中留下注释非常重要。Python 不执行代码中的注释部分。 +在 Python 中，任何以井号 (#) 开头的文本都是注释。 + +# 示例：单行注释 + +```shell +# 这是第一个注释 +# 这是第二个注释 +# Python 正在吞噬世界 +``` + +# 示例：多行注释，称为文档字符串 + +三重引号可以用于多行注释，如果它没有被分配给变量。 + +```shell +"""这是多行注释 +多行注释占用多行。 +Python 正在吞噬世界 +""" +``` + +### 数据类型 + +Python 中有多种数据类型。让我们从最常见的开始。不同的数据类型将在其他部分详细讨论。现在，让我们浏览一下不同的数据类型并熟悉它们。你现在不需要有明确的理解。 + +#### 数字 + +- 整数：它被认为是整数（负数、零和正数） + 示例： + ... -3, -2, -1, 0, 1, 2, 3 ... +- 浮点数：小数 + 示例： + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... +- 复数 + 示例： + 1 + j, 2 + 4j + +#### 字符串 + +一串字符组成的文本，使用单引号或双引号表示。如果字符串超过一行，可以使用三引号。 + +**例子:** + +```py +'Asabeneh' +'Finland' +'Python' +'I love teaching' +'I hope you are enjoying the first day of 30DaysOfPython Challenge' +``` + +#### 布尔值 + +布尔值是 True 或 False。T 和 F 必须大写。 + +**例子:** + +```python +True # 灯是开的吗？如果是开着的，那么值是 True +False # 灯是开的吗？如果是关着的，那么值是 False +``` + +#### 列表 + +列表是一个有序的集合，可以存储不同类型的数据。类似于 JavaScript 中的数组。 + +**例子:** + +```py +[0, 1, 2, 3, 4, 5] # 所有都是相同数据类型 - 数字列表 +['Banana', 'Orange', 'Mango', 'Avocado'] # 所有都是相同数据类型 - 字符串列表（水果） +['Finland','Estonia', 'Sweden','Norway'] # 所有都是相同数据类型 - 字符串列表（国家） +['Banana', 10, False, 9.81] # 列表中的不同数据类型 - 字符串、整数、布尔值和浮点数 +``` + +#### 字典 + +Python 字典对象是以键值对格式存储的无序集合。 + +**例子:** + +```py +{ +'first_name':'Asabeneh', +'last_name':'Yetayeh', +'country':'Finland', +'age':250, +'is_married':True, +'skills':['JS', 'React', 'Node', 'Python'] +} +``` + +#### 元组 + +元组是一个有序的集合，类似于列表，但元组一旦创建就不能修改。它们是不可变的。 + +**例子:** + +```py +('Asabeneh', 'Pawel', 'Brook', 'Abraham', 'Lidiya') # 名字 +``` + +```py +('Earth', 'Jupiter', 'Neptune', 'Mars', 'Venus', 'Saturn', 'Uranus', 'Mercury') # 行星 +``` + +#### 集合 + +集合是类似于列表和元组的集合数据类型。与列表和元组不同，集合不是一个有序的集合。就像在数学中一样，Python 中的集合只存储唯一的项目。 + +在后面的部分，我们将详细介绍每种 Python 数据类型。 + +**例子:** + +```py +{2, 4, 3, 5} +{3.14, 9.81, 2.7} # 集合中的顺序不重要 +``` + +### 检查数据类型 + +要检查某个数据/变量的数据类型，我们使用 **type** 函数。在以下终端中，你将看到不同的 Python 数据类型： + +![Checking Data types](../images/checking_data_types.png) + +### Python 文件 + +首先打开你的项目文件夹，30DaysOfPython。如果你没有这个文件夹，创建一个名为 30DaysOfPython 的文件夹。在这个文件夹内，创建一个名为 helloworld.py 的文件。现在，让我们在 Visual Studio Code 中做我们在 Python 交互式 Shell 中所做的事情。 + +Python 交互式 Shell 在不使用 **print** 的情况下打印，但在 Visual Studio Code 中，为了查看我们的结果，我们应该使用内置函数 _print()_。_print()_ 内置函数接受一个或多个参数，如下所示 _print('arument1', 'argument2', 'argument3')_。请参见以下示例。 + +**例子:** + +​ 文件名是 helloworld.py + +```py +# 第 1 天 - 30DaysOfPython 挑战 + +print(2 + 3) # 加法(+) +print(3 - 1) # 减法(-) +print(2 * 3) # 乘法(*) +print(3 / 2) # 除法(/) +print(3 ** 2) # 指数(**) +print(3 % 2) # 取模(%) +print(3 // 2) # 整除(//) + +# 检查数据类型 +print(type(10)) # 整数 +print(type(3.14)) # 浮点数 +print(type(1 + 3j)) # 复数 +print(type('Asabeneh')) # 字符串 +print(type([1, 2, 3])) # 列表 +print(type({'name':'Asabeneh'})) # 字典 +print(type({9.8, 3.14, 2.7})) # 集合 +print(type((9.8, 3.14, 2.7))) # 元组 +``` + +要运行 Python 文件，请查看下图。你可以通过在 Visual Studio Code 中点击绿色按钮或在终端中输入 _python helloworld.py_ 来运行 Python 文件。 + +![Running python script](../images/running_python_script.png) + +🌕 你很棒。你刚刚完成了第 1 天的挑战，你正在迈向伟大。现在做一些练习来锻练你的大脑和肌肉。 + +## 💻 练习 - 第 1 天 + +### 练习：等级 1 + +1. 检查你使用的 Python 版本 +2. 打开 Python 交互式 Shell 并执行以下操作。操作数是 3 和 4。 + - 加法(+) + - 减法(-) + - 乘法(\*) + - 取模(%) + - 除法(/) + - 指数(\*\*) + - 整除(//) +3. 在 Python 交互式 Shell 中编写字符串。字符串如下： + - 你的名字 + - 你的姓氏 + - 你的国家 + - 我正在享受 30 天的 Python +4. 检查以下数据的数据类型： + - 10 + - 9.8 + - 3.14 + - 4 - 4j + - ['Asabeneh', 'Python', 'Finland'] + - 你的名字 + - 你的姓氏 + - 你的国家 + +### 练习：等级 2 + +1. 在 30DaysOfPython 文件夹中创建一个名为 day*1 的文件夹。在 day_1 文件夹中，创建一个名为 helloworld.py 的 Python 文件，并重复问题 1、2、3 和 4。记住在处理 Python 文件时使用 \_print()*。导航到你保存文件的目录，并运行它。 + +### 练习：等级 3 + +1. 为不同的 Python 数据类型编写一个示例，如数字（整数、浮点数、复数）、字符串、布尔值、列表、元组、集合和字典。 +2. 找到 (2, 3) 和 (10, 8) 之间的 [欧几里得距离](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance)。 + +🎉 恭喜 ! 🎉 + +[第 2 天 >>](./02_variables_builtin_functions.md) diff --git a/Korean/02_Day_Variables_builtin_functions/02_variables_builtin_functions.md b/Korean/02_Day_Variables_builtin_functions/02_variables_builtin_functions.md new file mode 100644 index 000000000..0e8506b28 --- /dev/null +++ b/Korean/02_Day_Variables_builtin_functions/02_variables_builtin_functions.md @@ -0,0 +1,317 @@ +
    +

    30 Days Of Python: Day 2 - 변수, 내장 함수

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + Second Edition: July, 2021 +     + +
    + +[<< Day 1](../readme.md) | [Day 3 >>](../03_Day_Operators/03_operators.md) + +![30DaysOfPython](../../images/30DaysOfPython_banner3@2x.png) + +- [📘 Day 2](#-day-2) + - [내장 함수](#내장-함수) + - [변수](#변수) + - [한 줄로 여러개의 변수 선언](#한-줄로-여러개의-변수-선언) + - [자료형](#자료형) + - [자료형 확인 및 형변환](#자료형-확인-및-형변환) + - [숫자](#숫자) + - [💻 Exercises - Day 2](#-exercises---day-2) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + +# 📘 Day 2 + +## 내장 함수 + +파이썬에는 수많은 내장 함수가 있습니다. 내장 함수는 전역에서 사용 가능하고 그건 importing 이나 configuring없이 내장 함수를 사용 가능하다는 뜻입니다. 다음은 가장 자주 사용되는 파이썬 내장함수들 중 몇가지입니다: _print()_, _len()_, _type()_, _int()_, _float()_, _str()_, _input()_, _list()_, _dict()_, _min()_, _max()_, _sum()_, _sorted()_, _open()_, _file()_, _help()_, and _dir()_. 밑의 표에서 [파이썬 공식문서](https://docs.python.org/3.9/library/functions.html) 에 쓰여진 파이썬 내장 함수의 전체 목록을 볼 수 있습니다. + +![Built-in Functions](../../images/builtin-functions.png) + +파이썬 쉘을 열고 가장 자주 사용되는 내장 함수를 사용해봅시다. + +![Built-in functions](../../images/builtin-functions_practice.png) + +다른 내장 함수를 사용해 더 연습해봅시다. + +![Help and Dir Built in Functions](../../images/help_and_dir_builtin.png) + +위의 터미널에서 볼 수 있듯이, 파이썬에는 reserved word가 있습니다. reserved word는 변수나 함수를 선언할때 사용되지 않습니다. 변수에 관해서는 다음 장에서 다룰것입니다. + +이제 당신은 내장 함수에 익숙해졌을 것이라 믿습니다. 한번 더 내장 함수의 연습을 하고 다음 장으로 넘어갑시다. +![Min Max Sum](../../images/builtin-functional-final.png) + +## 변수 + +변수는 컴퓨터 메모리에 정보를 저장합니다. Mnemonic 변수는 많은 프로그래밍 언어에서 사용하도록 권장됩니다. Mnemonic 변수는 쉽게 기억하고 연관지을 수 있는 변수 이름입니다. 한 변수는 정보가 저장되어있는 메모리 주소를 참조합니다. +변수 이름을 지정할 때는 시작 부분의 숫자, 특수 문자, 하이픈을 사용할 수 없습니다. 변수는 짧은 이름(예: x, y, z)을 가질 수 있지만 더 변수에 대한 설명을 담은 이름(이름, 성, 나이, 국가)을 사용하는 것을 추천합니다. + +파이썬 변수 이름 규칙 + +- 변수 이름은 문자 또는 밑줄 문자로 시작해야 합니다 +- 변수 이름은 숫자로 시작할 수 없습니다 +- 변수 이름에는 알파벳과 숫자와 밑줄(A-z, 0-9 및 \_)만 사용할 수 있습니다 +- 변수 이름은 대소문자를 구분합니다(firstname, Firstname, FirstName, FIRSTNAME은 서로 다른 변수) + +사용가능한 변수 이름들을 살펴봅시다 + +```shell +firstname +lastname +age +country +city +first_name +last_name +capital_city +_if # reserved word를 변수 이름으로 사용하고 싶은 경우 +year_2021 +year2021 +current_year_2021 +birth_year +num1 +num2 +``` + +사용할 수 없는 변수 이름들 + +```shell +first-name +first@name +first$name +num-1 +1num +``` + +우리는 많은 파이썬 개발자들이 채택한 표준 파이썬 변수 명명 방식을 사용할 것입니다. 파이썬 개발자들은 스네이크 케이스(snake_case) 변수 명명 규칙을 사용합니다. 우리는 두 개 이상의 단어를 포함하는 변수에 대해 각 단어 뒤에 밑줄 문자를 사용합니다(예: first_name, last_name, engine_rotation_speed). 아래 예제는 변수의 표준 명명 예제이며, 변수 이름이 둘 이상의 단어일 경우 밑줄이 필요합니다. + +변수에 특정 데이터 유형을 할당할 때 이를 변수 선언이라고 합니다. 예를 들어 아래 예제에서 내 이름은 first_name 변수에 할당됩니다. 등호 기호는 할당 연산자입니다. 할당은 변수에 데이터를 저장하는 것을 의미합니다. 파이썬에서 등호 기호는 수학에서의 등호가 아닙니다. + +_Example:_ + +```py +# Variables in Python +first_name = 'Asabeneh' +last_name = 'Yetayeh' +country = 'Finland' +city = 'Helsinki' +age = 250 +is_married = True +skills = ['HTML', 'CSS', 'JS', 'React', 'Python'] +person_info = { + 'firstname':'Asabeneh', + 'lastname':'Yetayeh', + 'country':'Finland', + 'city':'Helsinki' + } +``` + +내장 함수인 _print()_ 와 _len()_ 을 사용해봅시다. Print 함수는 인자의 수에 제한이 없습니다. 인자는 함수 괄호 안에 넣어 전달할 수 있는 값입니다. 아래 예제를 봅시다. + +**Example:** + +```py +print('Hello, World!') # Hello, World! 라는 글이 하나의 인자입니다 +print('Hello',',', 'World','!') # 여러개의 인자를 받을 수 있습니다, 네개의 인자가 넘겨졌습니다 +print(len('Hello, World!')) # 하나의 인자만을 받습니다 +``` + +위에서 정의된 변수들을 찍어보고 길이를 찾아봅시다: + +**Example:** + +```py +# 변수에 저장된 값 찍기 + +print('First name:', first_name) +print('First name length:', len(first_name)) +print('Last name: ', last_name) +print('Last name length: ', len(last_name)) +print('Country: ', country) +print('City: ', city) +print('Age: ', age) +print('Married: ', is_married) +print('Skills: ', skills) +print('Person information: ', person_info) +``` + +### 한 줄로 여러개의 변수 선언 + +하나의 줄에서 여러개의 변수를 선언할 수도 있습니다: + +**Example:** + +```py +first_name, last_name, country, age, is_married = 'Asabeneh', 'Yetayeh', 'Helsink', 250, True + +print(first_name, last_name, country, age, is_married) +print('First name:', first_name) +print('Last name: ', last_name) +print('Country: ', country) +print('Age: ', age) +print('Married: ', is_married) +``` + +내장 함수 _input()_ 을 사용해 사용자의 입력 받기. 사용자로부터 받은 정보를 first_name과 age 변수에 할당해봅시다. +**Example:** + +```py +first_name = input('What is your name: ') +age = input('How old are you? ') + +print(first_name) +print(age) +``` + +## 자료형 + +파이썬에는 몇 가지 자료형이 있습니다. 자료형을 식별하기 위해 내장 함수 _type()_ 을 사용합니다. 서로 다른 자료형을 잘 이해하는 데 집중해 주시기를 부탁드립니다. 프로그래밍에서 모든것은 자료형과 관련이 있습니다. 처음에 자료형을 소개했지만 모든 주제가 자료형과 관련이 있기 때문에 다시 나옵니다. 자료형에 대해서는 각 섹션에서 자세히 설명하겠습니다. + +## 자료형 확인 및 형변환 + +- 자료형 확인: 특정 정보/변수의 자료형을 확인하기위해 우리는 _type()_ 을 사용합니다 + **Example:** + +```py +# 다양한 파이썬 자료형 +# 다양한 자료형의 변수들을 선언해 봅시다. + +first_name = 'Asabeneh' # str +last_name = 'Yetayeh' # str +country = 'Finland' # str +city= 'Helsinki' # str +age = 250 # int, 제 실제 나이가 아닙니다, 걱정마세요 + +# Printing out types +print(type('Asabeneh')) # str +print(type(first_name)) # str +print(type(10)) # int +print(type(3.14)) # float +print(type(1 + 1j)) # complex +print(type(True)) # bool +print(type([1, 2, 3, 4])) # list +print(type({'name':'Asabeneh','age':250, 'is_married':250})) # dict +print(type((1,2))) # tuple +print(type(zip([1,2],[3,4]))) # set +``` + +- 형변환: 하나의 자료형을 다른 자료형으로 변환합니다. _int()_, _float()_, _str()_, _list_, _set_ 를 사용합니다. + 산술 연산을 수행할 때 문자열 숫자들을 먼저 int 나 float로 변환해야 합니다. 그렇지 않으면 오류가 반환됩니다. 만약 숫자를 문자열과 결합한다면, 그 숫자는 먼저 문자열로 변환되어야 합니다. 결합에 대해서는 String 섹션에서 설명하겠습니다. + + **Example:** + +```py +# int to float +num_int = 10 +print('num_int',num_int) # 10 +num_float = float(num_int) +print('num_float:', num_float) # 10.0 + +# float to int +gravity = 9.81 +print(int(gravity)) # 9 + +# int to str +num_int = 10 +print(num_int) # 10 +num_str = str(num_int) +print(num_str) # '10' + +# str to int or float +num_str = '10.6' +print('num_int', int(num_str)) # 10 +print('num_float', float(num_str)) # 10.6 + +# str to list +first_name = 'Asabeneh' +print(first_name) # 'Asabeneh' +first_name_to_list = list(first_name) +print(first_name_to_list) # ['A', 's', 'a', 'b', 'e', 'n', 'e', 'h'] +``` + +## 숫자 + +파이썬의 숫자 자료형: + +1. Integers: 정수(음수, 0 , 양수) + 예: + ... -3, -2, -1, 0, 1, 2, 3 ... + +2. 부동 소수점 숫자(10진수) + 예: + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... + +3. 복소수 + 예: + 1 + j, 2 + 4j, 1 - 1j + +🌕 당신은 정말 멋집니다. 여러분은 이제 막 2일차 도전을 마쳤고 위대함으로 가는 길에 두 걸음 앞서 있습니다. 이제 여러분의 뇌와 근육을 위한 운동을 하세요. + +## 💻 Exercises - Day 2 + +### Exercises: Level 1 + +1. 30DaysOfPython 내에 day_2라는 폴더를 생성하세요. 그 폴더 내에 variables.py 라는 파일을 생성하세요. +2. 'Day 2: 30 Days of python programming'이라는 파이썬 주석을 작성합니다. +3. first name 변수를 선언하고 변수에 값을 할당합니다. +4. last name 변수를 선언하고 변수에 값을 할당합니다. +5. full name 변수를 선언하고 변수에 값을 할당합니다. +6. country 변수를 선언하고 값을 할당합니다. +7. city 변수를 선언하고 값을 할당합니다. +8. age 변수를 선언하고 값을 할당합니다. +9. year 변수를 선언하고 값을 할당합니다. +10. is_married 변수를 선언하고 값을 할당합니다. +11. is_true 변수를 선언하고 값을 할당합니다. +12. is_light_on 변수를 선언하고 값을 할당합니다. +13. 한 줄에 여러개의 변수를 선언합니다. + +### Exercises: Level 2 + +1. Check the data type of all your variables using type() built-in function +1. Using the _len()_ built-in function, find the length of your first name +1. Compare the length of your first name and your last name +1. Declare 5 as num_one and 4 as num_two + 1. Add num_one and num_two and assign the value to a variable total + 2. Subtract num_two from num_one and assign the value to a variable diff + 3. Multiply num_two and num_one and assign the value to a variable product + 4. Divide num_one by num_two and assign the value to a variable division + 5. Use modulus division to find num_two divided by num_one and assign the value to a variable remainder + 6. Calculate num_one to the power of num_two and assign the value to a variable exp + 7. Find floor division of num_one by num_two and assign the value to a variable floor_division +1. The radius of a circle is 30 meters. + 1. Calculate the area of a circle and assign the value to a variable name of _area_of_circle_ + 2. Calculate the circumference of a circle and assign the value to a variable name of _circum_of_circle_ + 3. Take radius as user input and calculate the area. +1. Use the built-in input function to get first name, last name, country and age from a user and store the value to their corresponding variable names +1. Run help('keywords') in Python shell or in your file to check for the Python reserved words or keywords + +1. type() 내장 함수를 사용하여 모든 변수의 자료형을 확인합니다. +1. _len()_ 내장 함수를 사용하여 당신의 first name 의 길이를 찾습니다. +1. 당신의 first name 과 last name 의 길이를 비교합니다. +1. 5를 num_1로, 4를 num_2로 선언합니다. + 1. num_one과 num_two를 더하고 그 값을 변수 total 에 할당합니다. + 2. num_1에서 num_2를 빼고 그 값을 변수 diff 에 할당합니다. + 3. num_two와 num_one을 곱하여 그 값을 변수 product 에 할당합니다. + 4. num_one을 num_two로 나누고 그 값을 변수 division 에 할당합니다. + 5. 나머지 연산을 사용하여 num_two를 num_one으로 나눈 값을 찾고 변수 remainder 에 할당합니다. + 6. num_one을 num_two의 거듭제곱으로 계산하고 그 값을 변수 exp 에 할당합니다. + 7. num_one을 num_two로 나누고 소숫값은 버린 정수 값을 구하고 변수 floor_division 에 값을 할당합니다. +1. 원의 반지름은 30미터입니다. + 1. 원의 면적을 계산하여 _area_of_circle_ 이라는 이름의 변수에 값을 할당합니다. + 2. 원의 둘레를 계산하여 _circum_of_circum_ 이라는 이름의 변수에 값을 할당합니다. + 3. 반경을 사용자 입력으로 받아서 면적을 계산합니다. +1. 내장 함수 input을 사용하여 사용자로부터 이름, 성, 국가 및 나이를 얻고 해당 변수 이름에 값을 저장합니다. +1. Python 셸 또는 파일에서 help('keywords')을 실행하여 파이썬의 reserved words 또는 키워드를 확인합니다. + +🎉 축하합니다 ! 🎉 + +[<< Day 1](../readme.md) | [Day 3 >>](../03_Day_Operators/03_operators.md) diff --git a/Korean/04_strings_ko.md b/Korean/04_strings_ko.md new file mode 100644 index 000000000..a5e1d774f --- /dev/null +++ b/Korean/04_strings_ko.md @@ -0,0 +1,591 @@ +
    +

    30 Days Of Python: Day 4 - Strings

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    Author: Asabeneh Yetayeh
    Second Edition: July, 2021

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    + +[<< Day 3](../03_Day_Operators/03_operators.md) | [Day 5 >>](../05_Day_Lists/05_lists.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [Day 4](#day-4) + - [문자열](#strings) + - [문자열 만들기](#문자열-만들기) + - [문자열 연결](#문자열-연결) + - [문자열의 이스케이프 시퀀스](#문자열의-이스케이프-시퀀스) + - [문자열 포매팅](#문자열-포매팅) + - [올드 스타일 문자열 포매팅(% 연산자)](#올드-스타일-문자열-포매팅%-연산자) + - [새로운 스타일 문자열 포매팅(str.format)](#새로운-스타일-문자열-포매팅str.format) + - [문자열 Interpolation / f-Strings (Python 3.6+)](#string-interpolation--f-strings-python-36) + - [문자 시퀀스로서의 Python 문자열](#문자-시퀀스로서의-Python-문자열) + - [언패킹 문자](#언패킹-문자) + - [인덱스로 문자열의 문자에 액세스](#인덱스로-문자열의-문자에-액세스) + - [파이썬 문자열 슬라이싱](#파이썬-문자열-슬라이싱) + - [문자열 리버스](#문자열-리버스) + - [슬라이싱하는 동안 문자 건너뛰기](#슬라이싱하는-동안-문자-건너뛰기) + - [문자열 메서드](#문자열-메서드) + - [💻 Exercises - Day 4](#-exercises---day-4) + +# Day 4 + +## 문자열 + +텍스트는 문자열 데이터 유형입니다. 텍스트로 작성된 모든 데이터 유형은 문자열입니다. 작은따옴표, 큰따옴표 또는 삼중따옴표 아래의 모든 데이터는 문자열입니다. 문자열 데이터 유형을 처리하기 위한 다양한 문자열 메서드와 내장 함수가 있습니다. 문자열의 길이를 확인하려면 len() 메서드를 사용하십시오. + +### 문자열 만들기 + +```py +letter = 'P' # A string could be a single character or a bunch of texts +print(letter) # P +print(len(letter)) # 1 +greeting = 'Hello, World!' # String could be made using a single or double quote,"Hello, World!" +print(greeting) # Hello, World! +print(len(greeting)) # 13 +sentence = "I hope you are enjoying 30 days of Python Challenge" +print(sentence) +``` + +여러 줄 문자열은 세 개의 작은따옴표(''') 또는 세 개의 큰따옴표(""")를 사용하여 생성됩니다. 아래 예를 참조하십시오. + +```py +multiline_string = '''I am a teacher and enjoy teaching. +I didn't find anything as rewarding as empowering people. +That is why I created 30 days of python.''' +print(multiline_string) + +# Another way of doing the same thing +multiline_string = """I am a teacher and enjoy teaching. +I didn't find anything as rewarding as empowering people. +That is why I created 30 days of python.""" +print(multiline_string) +``` + +### 문자열 연결 + +문자열을 함께 연결할 수 있습니다. 문자열을 병합하거나 연결하는 것을 연결이라고 합니다. 아래 예를 참조하십시오. + +```py +first_name = 'Asabeneh' +last_name = 'Yetayeh' +space = ' ' +full_name = first_name + space + last_name +print(full_name) # Asabeneh Yetayeh +# Checking the length of a string using len() built-in function +print(len(first_name)) # 8 +print(len(last_name)) # 7 +print(len(first_name) > len(last_name)) # True +print(len(full_name)) # 16 +``` + +### 문자열의 이스케이프 시퀀스 + +Python 및 기타 프로그래밍 언어에서 \ 다음에 오는 문자는 이스케이프 시퀀스입니다. 가장 일반적인 이스케이프 문자를 살펴보겠습니다. + +- \n: 새로운 라인 +- \t: 탭은(8칸)을 의미합니다. +- \\: 백슬래시 +- \': 작은따옴표(') +- \": 큰따옴표(") + +이제 위의 이스케이프 시퀀스를 예제와 함께 사용하는 방법을 살펴보겠습니다. + +```py +print('I hope everyone is enjoying the Python Challenge.\nAre you ?') # line break +print('Days\tTopics\tExercises') # adding tab space or 4 spaces +print('Day 1\t3\t5') +print('Day 2\t3\t5') +print('Day 3\t3\t5') +print('Day 4\t3\t5') +print('This is a backslash symbol (\\)') # To write a backslash +print('In every programming language it starts with \"Hello, World!\"') # to write a double quote inside a single quote + +# output +I hope every one is enjoying the Python Challenge. +Are you ? +Days Topics Exercises +Day 1 5 5 +Day 2 6 20 +Day 3 5 23 +Day 4 1 35 +This is a backslash symbol (\) +In every programming language it starts with "Hello, World!" +``` + +### 문자열 포매팅 + +#### 올드 스타일 문자열 형식화(% 연산자) + +Python에는 문자열 형식을 지정하는 여러 가지 방법이 있습니다. 이 섹션에서는 그 중 일부를 다룰 것입니다. "%" 연산자는 "인수 지정자", "%s"와 같은 특수 기호와 함께 일반 텍스트를 포함하는 형식 문자열과 함께 "튜플"(고정 크기 목록)로 묶인 변수 세트의 형식을 지정하는 데 사용됩니다. , "%d", "%f", "%. 자릿수 f". + +- %s - 문자열(또는 숫자와 같은 문자열 표현이 있는 모든 객체) +- %d - 정수 +- %f - 부동 소수점 숫자 +- "%. number of digits f" - 정밀도가 고정된 부동 소수점 숫자 + +```py +# Strings only +first_name = 'Asabeneh' +last_name = 'Yetayeh' +language = 'Python' +formated_string = 'I am %s %s. I teach %s' %(first_name, last_name, language) +print(formated_string) + +# Strings and numbers +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +formated_string = 'The area of circle with a radius %d is %.2f.' %(radius, area) # 2 refers the 2 significant digits after the point + +python_libraries = ['Django', 'Flask', 'NumPy', 'Matplotlib','Pandas'] +formated_string = 'The following are python libraries:%s' % (python_libraries) +print(formated_string) # "The following are python libraries:['Django', 'Flask', 'NumPy', 'Matplotlib','Pandas']" +``` + +#### 새로운스타일 문자열 형식화(str.format) + +이 형식은 Python 버전 3에서 도입되었습니다. + +```py + +first_name = 'Asabeneh' +last_name = 'Yetayeh' +language = 'Python' +formated_string = 'I am {} {}. I teach {}'.format(first_name, last_name, language) +print(formated_string) +a = 4 +b = 3 + +print('{} + {} = {}'.format(a, b, a + b)) +print('{} - {} = {}'.format(a, b, a - b)) +print('{} * {} = {}'.format(a, b, a * b)) +print('{} / {} = {:.2f}'.format(a, b, a / b)) # limits it to two digits after decimal +print('{} % {} = {}'.format(a, b, a % b)) +print('{} // {} = {}'.format(a, b, a // b)) +print('{} ** {} = {}'.format(a, b, a ** b)) + +# output +4 + 3 = 7 +4 - 3 = 1 +4 * 3 = 12 +4 / 3 = 1.33 +4 % 3 = 1 +4 // 3 = 1 +4 ** 3 = 64 + +# Strings and numbers +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +formated_string = 'The area of a circle with a radius {} is {:.2f}.'.format(radius, area) # 2 digits after decimal +print(formated_string) + +``` + +#### 문자열 Interpolation / f-Strings (Python 3.6+) + +또 다른 새로운 문자열 형식화는 문자열 보간법인 f-문자열입니다. 문자열은 f로 시작하고 해당 위치에 데이터를 주입할 수 있습니다. + +```py +a = 4 +b = 3 +print(f'{a} + {b} = {a +b}') +print(f'{a} - {b} = {a - b}') +print(f'{a} * {b} = {a * b}') +print(f'{a} / {b} = {a / b:.2f}') +print(f'{a} % {b} = {a % b}') +print(f'{a} // {b} = {a // b}') +print(f'{a} ** {b} = {a ** b}') +``` + +### 문자 시퀀스로서의 Python 문자열 + +Python 문자열은 문자 시퀀스이며, 기본 액세스 방법을 다른 Python 순서 객체 시퀀스(목록 및 튜플)와 공유합니다. 문자열(및 모든 시퀀스의 개별 멤버)에서 단일 문자를 추출하는 가장 간단한 방법은 해당 변수로 압축을 푸는 것입니다. + +#### 언패킹 문자 + +``` +language = 'Python' +a,b,c,d,e,f = language # unpacking sequence characters into variables +print(a) # P +print(b) # y +print(c) # t +print(d) # h +print(e) # o +print(f) # n +``` + +#### 인덱스로 문자열의 문자에 액세스 + +프로그래밍에서 카운팅은 0부터 시작합니다. 따라서 문자열의 첫 번째 문자는 인덱스가 0이고 문자열의 마지막 문자는 문자열의 길이에서 1을 뺀 값입니다. + +![String index](../images/string_index.png) + +```py +language = 'Python' +first_letter = language[0] +print(first_letter) # P +second_letter = language[1] +print(second_letter) # y +last_index = len(language) - 1 +last_letter = language[last_index] +print(last_letter) # n +``` + +오른쪽 끝에서 시작하려면 음수 인덱싱을 사용할 수 있습니다. -1은 마지막 인덱스입니다. + +```py +language = 'Python' +last_letter = language[-1] +print(last_letter) # n +second_last = language[-2] +print(second_last) # o +``` + +#### 파이썬 문자열 슬라이싱 + +파이썬에서는 문자열을 하위 문자열로 슬라이스할 수 있습니다. + +```py +language = 'Python' +first_three = language[0:3] # starts at zero index and up to 3 but not include 3 +print(first_three) #Pyt +last_three = language[3:6] +print(last_three) # hon +# Another way +last_three = language[-3:] +print(last_three) # hon +last_three = language[3:] +print(last_three) # hon +``` + +#### 문자열 리버스 + +파이썬에서 문자열을 쉽게 뒤집을 수 있습니다. + +```py +greeting = 'Hello, World!' +print(greeting[::-1]) # !dlroW ,olleH +``` + +#### 슬라이싱하는 동안 문자 건너뛰기 + +슬라이스 메소드에 단계 인수를 전달하여 슬라이스하는 동안 문자를 건너뛸 수 있습니다. + +```py +language = 'Python' +pto = language[0:6:2] # +print(pto) # Pto +``` + +### 문자열 메서드 + +문자열을 형식화할 수 있는 많은 문자열 메서드가 있습니다. 다음 예제에서 일부 문자열 메서드를 참조하십시오. + +- capitalize(): 문자열의 첫 번째 문자를 대문자로 변환 + +```py +challenge = 'thirty days of python' +print(challenge.capitalize()) # 'Thirty days of python' +``` + +- count(): 문자열에서 하위 문자열의 발생을 반환합니다. count(substring, start=.., end=..). 시작은 카운트를 위한 시작 인덱싱이고 끝은 카운트할 마지막 인덱스입니다. + +```py +challenge = 'thirty days of python' +print(challenge.count('y')) # 3 +print(challenge.count('y', 7, 14)) # 1, +print(challenge.count('th')) # 2` +``` + +- endswith(): 문자열이 지정된 끝으로 끝나는지 확인합니다. + +```py +challenge = 'thirty days of python' +print(challenge.endswith('on')) # True +print(challenge.endswith('tion')) # False +``` + +- expandtabs(): 탭 문자를 공백으로 바꿉니다. 기본 탭 크기는 8입니다. 탭 크기 인수를 사용합니다. + +```py +challenge = 'thirty\tdays\tof\tpython' +print(challenge.expandtabs()) # 'thirty days of python' +print(challenge.expandtabs(10)) # 'thirty days of python' +``` + +- find(): 하위 문자열이 처음 나타나는 인덱스를 반환합니다. 찾을 수 없으면 -1을 반환합니다. + +```py +challenge = 'thirty days of python' +print(challenge.count('y')) # 3 +print(challenge.count('y', 7, 14)) # 1, +print(challenge.count('th')) # 2` +``` + +- rfind(): 하위 문자열이 마지막으로 나타나는 인덱스를 반환합니다. 찾을 수 없으면 -1을 반환합니다. + +```py +challenge = 'thirty days of python' +print(challenge.rfind('y')) # 5 +print(challenge.rfind('th')) # 1 +``` + +- format(): 문자열을 더 나은 출력으로 포맷합니다.
    문자열 형식에 대한 자세한 내용은 이 [링크](https://www.programiz.com/python-programming/methods/string/format) 를 확인하세요. + +```py +first_name = 'Asabeneh' +last_name = 'Yetayeh' +age = 250 +job = 'teacher' +country = 'Finland' +sentence = 'I am {} {}. I am a {}. I am {} years old. I live in {}.'.format(first_name, last_name, age, job, country) +print(sentence) # I am Asabeneh Yetayeh. I am 250 years old. I am a teacher. I live in Finland. + +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +result = 'The area of a circle with radius {} is {}'.format(str(radius), str(area)) +print(result) # The area of a circle with radius 10 is 314 +``` + +- index(): 하위 문자열의 가장 낮은 색인을 반환하고 추가 인수는 시작 및 끝 색인을 나타냅니다(기본값 0 및 문자열 길이 - 1). 하위 문자열을 찾을 수 없으면 valueError가 발생합니다. + +```py +challenge = 'thirty days of python' +sub_string = 'da' +print(challenge.index(sub_string)) # 7 +print(challenge.index(sub_string, 9)) # error +``` + +- rindex(): 하위 문자열의 가장 높은 색인을 반환합니다. 추가 인수는 시작 및 끝 색인을 나타냅니다(기본값 0 및 문자열 길이 - 1). + +```py +challenge = 'thirty days of python' +sub_string = 'da' +print(challenge.rindex(sub_string)) # 8 +print(challenge.rindex(sub_string, 9)) # error +``` + +- isalnum(): 영숫자 확인 + +```py +challenge = 'ThirtyDaysPython' +print(challenge.isalnum()) # True + +challenge = '30DaysPython' +print(challenge.isalnum()) # True + +challenge = 'thirty days of python' +print(challenge.isalnum()) # False, space is not an alphanumeric character + +challenge = 'thirty days of python 2019' +print(challenge.isalnum()) # False +``` + +- isalpha(): 모든 문자열 요소가 알파벳 문자(az 및 AZ)인지 확인합니다. + +```py +challenge = 'thirty days of python' +print(challenge.isalpha()) # False, space is once again excluded +challenge = 'ThirtyDaysPython' +print(challenge.isalpha()) # True +num = '123' +print(num.isalpha()) # False +``` + +- isdecimal(): 문자열의 모든 문자가 십진수(0-9)인지 확인합니다. + +```py +challenge = 'thirty days of python' +print(challenge.isdecimal()) # False +challenge = '123' +print(challenge.isdecimal()) # True +challenge = '\u00B2' +print(challenge.isdigit()) # False +challenge = '12 3' +print(challenge.isdecimal()) # False, space not allowed +``` + +- isdigit(): 문자열의 모든 문자가 숫자인지 확인합니다(숫자는 0-9 및 일부 다른 유니코드 문자). + +```py +challenge = 'Thirty' +print(challenge.isdigit()) # False +challenge = '30' +print(challenge.isdigit()) # True +challenge = '\u00B2' +print(challenge.isdigit()) # True +``` + +- isnumeric(): 문자열의 모든 문자가 숫자인지 또는 숫자와 관련된 것인지 확인합니다(isdigit()와 마찬가지로 ½과 같은 더 많은 기호를 허용합니다). + +```py +num = '10' +print(num.isnumeric()) # True +num = '\u00BD' # ½ +print(num.isnumeric()) # True +num = '10.5' +print(num.isnumeric()) # False +``` + +- isidentifier(): 유효한 식별자를 확인합니다. 문자열이 유효한 변수 이름인지 확인합니다. + +```py +challenge = '30DaysOfPython' +print(challenge.isidentifier()) # False, because it starts with a number +challenge = 'thirty_days_of_python' +print(challenge.isidentifier()) # True +``` + +- islower(): 문자열의 모든 알파벳 문자가 소문자인지 확인 + +```py +challenge = 'thirty days of python' +print(challenge.islower()) # True +challenge = 'Thirty days of python' +print(challenge.islower()) # False +``` + +- islower(): 문자열의 모든 알파벳 문자가 소문자인지 확인 + +```py +challenge = 'thirty days of python' +print(challenge.isupper()) # False +challenge = 'THIRTY DAYS OF PYTHON' +print(challenge.isupper()) # True +``` + +- join(): 연결된 문자열을 반환합니다. + +```py +web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] +result = ' '.join(web_tech) +print(result) # 'HTML CSS JavaScript React' +``` + +```py +web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] +result = '# '.join(web_tech) +print(result) # 'HTML# CSS# JavaScript# React' +``` + +- strip(): 문자열의 시작과 끝에서 시작하여 주어진 모든 문자를 제거합니다. + +```py +challenge = 'thirty days of pythoonnn' +print(challenge.strip('noth')) # 'irty days of py' +``` + +- replace(): 하위 문자열을 주어진 문자열로 대체합니다. + +```py +challenge = 'thirty days of python' +print(challenge.replace('python', 'coding')) # 'thirty days of coding' +``` + +- split(): 주어진 문자열 또는 공백을 구분 기호로 사용하여 문자열을 분할합니다. + +```py +challenge = 'thirty days of python' +print(challenge.split()) # ['thirty', 'days', 'of', 'python'] +challenge = 'thirty, days, of, python' +print(challenge.split(', ')) # ['thirty', 'days', 'of', 'python'] +``` + +- title(): 제목 케이스 문자열을 반환합니다. + +```py +challenge = 'thirty days of python' +print(challenge.title()) # Thirty Days Of Python +``` + +- swapcase(): 모든 대문자를 소문자로, 모든 소문자를 대문자로 변환 + +```py +challenge = 'thirty days of python' +print(challenge.swapcase()) # THIRTY DAYS OF PYTHON +challenge = 'Thirty Days Of Python' +print(challenge.swapcase()) # tHIRTY dAYS oF pYTHON +``` + +- startswith(): 문자열이 지정된 문자열로 시작하는지 확인 + +```py +challenge = 'thirty days of python' +print(challenge.startswith('thirty')) # True + +challenge = '30 days of python' +print(challenge.startswith('thirty')) # False +``` + +🌕 당신은 특별한 사람이고 놀라운 잠재력을 가지고 있습니다. 당신은 방금 4일 차 도전을 완료했고 당신은 위대함을 향한 당신의 길에 4걸음 남았습니다. 이제 뇌와 근육을 위한 몇 가지 훈련을 하십시오. + +## 💻 Exercises - Day 4 + +1. 문자열 'Thirty', 'Days', 'Of', 'Python'을 단일 문자열 'Thirty Days Of Python'에 연결합니다. +2. 문자열 'Coding', 'For' , 'All'을 단일 문자열 'Coding For All'에 연결합니다. +3. company라는 변수를 선언하고 초기 값 "Coding For All"에 할당합니다. +4. *print()* 를 사용하여 회사 변수를 인쇄합니다. +5. *len()* 메서드와 *print()* 를 사용하여 회사 문자열의 길이를 인쇄합니다. +6. *upper()* 메서드를 사용하여 모든 문자를 대문자로 변경합니다. +7. *lower()* 메서드를 사용하여 모든 문자를 소문자로 변경합니다. +8. 문자열 *Coding For All* 의 값을 형식화하려면 capitalize(), title(), swapcase() 메소드를 사용하십시오. +9. *Coding For All* 문자열의 첫 번째 단어를 잘라냅니다. +10. Index, find 또는 기타 방법을 사용하여 *Coding For All* 문자열에 단어 Coding이 포함되어 있는지 확인합니다. +11. 문자열 'Coding For All'의 코딩이라는 단어를 Python으로 바꿉니다. +12. replace 메서드 또는 기타 메서드를 사용하여 모두를 위한 Python을 모두를 위한 Python으로 변경합니다. +13. 공백을 구분 기호로 사용하여 문자열 'Coding For All'을 분할합니다(split()). +14. "Facebook, Google, Microsoft, Apple, IBM, Oracle, Amazon"은 쉼표에서 문자열을 나눕니다. +15. 문자열 *Coding For All* 에서 인덱스 0에 있는 문자는 무엇입니까? +16. 문자열 *Coding For All* 에서 인덱스 0에 있는 문자는 무엇입니까? +17. "Coding For All" 문자열에서 인덱스 10에 있는 문자는 무엇입니까? +18. 'Python For Everyone'이라는 이름의 약어 또는 약어를 만듭니다. +19. 'Coding For All'이라는 이름의 약어 또는 약어를 만듭니다. +20. Index를 사용하여 Coding For All에서 C가 처음 나타나는 위치를 결정합니다. +21. Index를 사용하여 Coding For All에서 F가 처음 나타나는 위치를 결정합니다. +22. Coding For All People에서 l이 마지막으로 나타나는 위치를 결정하려면 rfind를 사용하십시오. +23. 색인 또는 찾기를 사용하여 다음 문장에서 'because'라는 단어가 처음 나타나는 위치를 찾습니다. +24. 색인 또는 찾기를 사용하여 다음 문장에서 'because'라는 단어가 처음 나타나는 위치를 찾습니다. +25. 색인 또는 찾기를 사용하여 다음 문장에서 'because'라는 단어가 처음 나타나는 위치를 찾습니다. +26. 색인 또는 찾기를 사용하여 다음 문장에서 'because'라는 단어가 처음 나타나는 위치를 찾습니다. +27. 다음 문장에서 'because because because'라는 구문을 잘라냅니다. +28. 'Coding For All'은 하위 문자열 *Coding* 으로 시작합니까? +29. 'Coding For All'은 하위 문자열 *코딩* 으로 끝납니까? +30. ' Coding For All ' , 주어진 문자열에서 왼쪽 및 오른쪽 후행 공백을 제거합니다. +31. 다음 변수 중 isidentifier() 메서드를 사용할 때 True를 반환하는 변수는 무엇입니까? + - 30DaysOfPython + - thirty_days_of_python +32. 다음 목록에는 일부 파이썬 라이브러리의 이름이 포함되어 있습니다: ['Django', 'Flask', 'Bottle', 'Pyramid', 'Falcon']. 공백 문자열이 있는 해시로 목록에 가입하십시오. +33. 새 줄 이스케이프 시퀀스를 사용하여 다음 문장을 구분합니다. + ```py + I am enjoying this challenge. + I just wonder what is next. + ``` +34. 새 줄 이스케이프 시퀀스를 사용하여 다음 문장을 구분합니다. + ```py + Name Age Country City + Asabeneh 250 Finland Helsinki + ``` +35. 문자열 형식 지정 방법을 사용하여 다음을 표시합니다: + +```sh +radius = 10 +area = 3.14 * radius ** 2 +The area of a circle with radius 10 is 314 meters square. +``` + +1. 문자열 형식화 방법을 사용하여 다음을 작성하십시오: + +```sh +8 + 6 = 14 +8 - 6 = 2 +8 * 6 = 48 +8 / 6 = 1.33 +8 % 6 = 2 +8 // 6 = 1 +8 ** 6 = 262144 +``` + +🎉 축하합니다! 🎉 + +[<< Day 3](../03_Day_Operators/03_operators.md) | [Day 5 >>](../05_Day_Lists/05_lists.md) diff --git a/Korean/05_Day_Lists/05_lists.md b/Korean/05_Day_Lists/05_lists.md new file mode 100644 index 000000000..4b4e89a11 --- /dev/null +++ b/Korean/05_Day_Lists/05_lists.md @@ -0,0 +1,588 @@ +
    +

    30 Days Of Python: Day 5 - Lists

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + Second Edition: July - 2021 +     + +
    + +[<< Day 4](../04_Day_Strings/04_strings.md) | [Day 6 >>](../06_Day_Tuples/06_tuples.md) + +![30DaysOfPython](../../images/30DaysOfPython_banner3@2x.png) + +- [Day 5](#day-5) + - [Lists](#lists) + - [How to Create a List](#how-to-create-a-list) + - [Accessing List Items Using Positive Indexing](#accessing-list-items-using-positive-indexing) + - [Accessing List Items Using Negative Indexing](#accessing-list-items-using-negative-indexing) + - [Unpacking List Items](#unpacking-list-items) + - [Slicing Items from a List](#slicing-items-from-a-list) + - [Modifying Lists](#modifying-lists) + - [Checking Items in a List](#checking-items-in-a-list) + - [Adding Items to a List](#adding-items-to-a-list) + - [Inserting Items into a List](#inserting-items-into-a-list) + - [Removing Items from a List](#removing-items-from-a-list) + - [Removing Items Using Pop](#removing-items-using-pop) + - [Removing Items Using Del](#removing-items-using-del) + - [Clearing List Items](#clearing-list-items) + - [Copying a List](#copying-a-list) + - [Joining Lists](#joining-lists) + - [Counting Items in a List](#counting-items-in-a-list) + - [Finding Index of an Item](#finding-index-of-an-item) + - [Reversing a List](#reversing-a-list) + - [Sorting List Items](#sorting-list-items) + - [💻 Exercises: Day 5](#-exercises-day-5) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + +# Day 5 + +## Lists + +파이썬에는 네 가지 컬렉션 자료형이 있습니다. + +- List: 정렬되고 변경 가능(수정 가능)한 컬렉션입니다. 중복 값을 허용합니다. +- Tuple: 정렬되고 변경 불가능하거나 수정 불가능한(불변) 컬렉션입니다. 중복 값을 허용합니다. +- Set: 순서가 지정되지 않고 인덱스가 없고 수정할 수 없는 컬렉션이지만 새 아이템을 추가할 수 있습니다. 중복 값은 허용되지 않습니다. +- Dictionary: 정렬되지 않고 변경 가능(수정 가능)하며 인덱스가 있는 컬렉션입니다. 중복 값이 없습니다. + +리스트는 정렬되고 수정(변경) 가능한 다양한 자료형의 컬렉션입니다. 목록은 비어 있거나 다른 자료형 아이템을 가질 수 있습니다. + +### How to Create a List + +파이썬에서 리스트는 두가지 방법으로 생성할 수 있습니다: + +- list 내장 함수를 사용 + +```py +# syntax +lst = list() +``` + +```py +empty_list = list() # 이건 빈 리스트 입니다, 리스트 안에 아무 값도 없습니다 +print(len(empty_list)) # 0 +``` + +- 대괄호 사용, [] + +```py +# syntax +lst = [] +``` + +```py +empty_list = [] # 이건 빈 리스트 입니다, 리스트 안에 아무 값도 없습니다 +print(len(empty_list)) # 0 +``` + +초기 값이 있는 리스트입니다. _len()_ 을 사용하여 리스트의 길이를 찾습니다. + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] # list of fruits +vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] # list of vegetables +animal_products = ['milk', 'meat', 'butter', 'yoghurt'] # list of animal products +web_techs = ['HTML', 'CSS', 'JS', 'React','Redux', 'Node', 'MongDB'] # list of web technologies +countries = ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] + +# Print the lists and its length +print('Fruits:', fruits) +print('Number of fruits:', len(fruits)) +print('Vegetables:', vegetables) +print('Number of vegetables:', len(vegetables)) +print('Animal products:',animal_products) +print('Number of animal products:', len(animal_products)) +print('Web technologies:', web_techs) +print('Number of web technologies:', len(web_techs)) +print('Countries:', countries) +print('Number of countries:', len(countries)) +``` + +```sh +output +Fruits: ['banana', 'orange', 'mango', 'lemon'] +Number of fruits: 4 +Vegetables: ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +Number of vegetables: 5 +Animal products: ['milk', 'meat', 'butter', 'yoghurt'] +Number of animal products: 4 +Web technologies: ['HTML', 'CSS', 'JS', 'React', 'Redux', 'Node', 'MongDB'] +Number of web technologies: 7 +Countries: ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] +Number of countries: 5 +``` + +- 리스트는 서로 다른 자료형의 아이템을 가질 수 있습니다. + +```py + lst = ['Asabeneh', 250, True, {'country':'Finland', 'city':'Helsinki'}] # 다른 자료형을 가진 리스트 +``` + +### Accessing List Items Using Positive Indexing + +인덱스를 사용하여 리스트의 각 아이템에 액세스합니다. 리스트 인덱스는 0부터 시작합니다. 아래 그림은 인덱스가 시작되는 위치를 명확하게 보여줍니다. +![List index](../../images/list_index.png) + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +first_fruit = fruits[0] # 인덱스를 사용해 첫번째 아이템에 접근합니다 +print(first_fruit) # banana +second_fruit = fruits[1] +print(second_fruit) # orange +last_fruit = fruits[3] +print(last_fruit) # lemon +# Last index +last_index = len(fruits) - 1 +last_fruit = fruits[last_index] +``` + +### Accessing List Items Using Negative Indexing + +음수 인덱스는 끝에서 시작하는 것을 의미하며 -1은 마지막 아이템을, -2는 마지막에서 두번쨰 아이템을 의미합니다. + +![List negative indexing](../../images/list_negative_indexing.png) + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +first_fruit = fruits[-4] +last_fruit = fruits[-1] +second_last = fruits[-2] +print(first_fruit) # banana +print(last_fruit) # lemon +print(second_last) # mango +``` + +### Unpacking List Items + +```py +lst = ['item','item2','item3', 'item4', 'item5'] +first_item, second_item, third_item, *rest = lst +print(first_item) # item1 +print(second_item) # item2 +print(third_item) # item3 +print(rest) # ['item4', 'item5'] + +``` + +```py +# First Example +fruits = ['banana', 'orange', 'mango', 'lemon','lime','apple'] +first_fruit, second_fruit, third_fruit, *rest = lst +print(first_fruit) # banana +print(second_fruit) # orange +print(third_fruit) # mango +print(rest) # ['lemon','lime','apple'] +# Second Example about unpacking list +first, second, third,*rest, tenth = [1,2,3,4,5,6,7,8,9,10] +print(first) # 1 +print(second) # 2 +print(third) # 3 +print(rest) # [4,5,6,7,8,9] +print(tenth) # 10 +# Third Example about unpacking list +countries = ['Germany', 'France','Belgium','Sweden','Denmark','Finland','Norway','Iceland','Estonia'] +gr, fr, bg, sw, *scandic, es = countries +print(gr) +print(fr) +print(bg) +print(sw) +print(scandic) +print(es) +``` + +### Slicing Items from a List + +- 양수 인덱싱: start, end 및 step을 지정하여 양수 인덱스 범위를 지정할 수 있습니다. 반환 값은 새 리스트가 됩니다. (start의 디폴트값 = 0, end = len(lst) - 1 (마지막 아이템), step = 1) + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +all_fruits = fruits[0:4] # 모든 fruits를 반환합니다 +# 이것또한 위와 같은 값을 반환합니다 +all_fruits = fruits[0:] # 우리가 어디서 멈출 지 설정하지 않으면, 모든 것을 포함합니다 +orange_and_mango = fruits[1:3] # 첫번째 인덱스를 포함하지 않습니다 +orange_mango_lemon = fruits[1:] +orange_and_lemon = fruits[::2] # 여기서 세번째 인자인 step을 사용했습니다. 모든 두번째 아이템을 포함합니다 - ['banana', 'mango'] +``` + +- 음수 인덱싱: start, end 및 step을 지정하여 음수 인덱스의 범위를 지정할 수 있습니다. 반환 값은 새 리스트가 됩니다. + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +all_fruits = fruits[-4:] # 모든 fruits를 반환합니다 +orange_and_mango = fruits[-3:-1] # 마지막 인덱스를 포함하지 않습니다,['orange', 'mango'] +orange_mango_lemon = fruits[-3:] # 이것은 -3 부터 시작하여 끝까지의 값을 줍니다,['orange', 'mango', 'lemon'] +reverse_fruits = fruits[::-1] # 음수의 step은 리스트를 역순으로 가집니다,['lemon', 'mango', 'orange', 'banana'] +``` + +### Modifying Lists + +리스트는 변경 가능하거나 수정 가능한 순서가 있는 아이템들의 컬렉션입니다. 과일 리스트를 수정해봅시다. + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits[0] = 'avocado' +print(fruits) # ['avocado', 'orange', 'mango', 'lemon'] +fruits[1] = 'apple' +print(fruits) # ['avocado', 'apple', 'mango', 'lemon'] +last_index = len(fruits) - 1 +fruits[last_index] = 'lime' +print(fruits) # ['avocado', 'apple', 'mango', 'lime'] +``` + +### Checking Items in a List + +*in* 연산자를 사용하여 아이템이 리스트의 구성원인지 확인합니다. 아래 예시를 봅시다. + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +does_exist = 'banana' in fruits +print(does_exist) # True +does_exist = 'lime' in fruits +print(does_exist) # False +``` + +### Adding Items to a List + +기존 리스트의 끝에 아이템을 추가하려면 *append()* 메서드를 사용합니다. + +```py +# syntax +lst = list() +lst.append(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.append('apple') +print(fruits) # ['banana', 'orange', 'mango', 'lemon', 'apple'] +fruits.append('lime') # ['banana', 'orange', 'mango', 'lemon', 'apple', 'lime'] +print(fruits) +``` + +### Inserting Items into a List + +*insert()* 메서드를 사용하여 목록의 지정된 인덱스에 하나의 아이템을 삽입할 수 있습니다. 다른 아이템들은 오른쪽으로 이동한다는 것에 주의합시다. *insert()* 메서드는 인덱스와 삽입할 아이템이라는 두 가지 인자를 가집니다. + +```py +# syntax +lst = ['item1', 'item2'] +lst.insert(index, item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.insert(2, 'apple') # orange와 mango 사이에 apple을 삽입 +print(fruits) # ['banana', 'orange', 'apple', 'mango', 'lemon'] +fruits.insert(3, 'lime') # ['banana', 'orange', 'apple', 'lime', 'mango', 'lemon'] +print(fruits) +``` + +### Removing Items from a List + +remove 메서드는 리스트에서 지정된 아이템을 삭제합니다. + +```py +# syntax +lst = ['item1', 'item2'] +lst.remove(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon', 'banana'] +fruits.remove('banana') +print(fruits) # ['orange', 'mango', 'lemon', 'banana'] - 이 메서드는 리스트에서 첫번째로 존재하는 아이템을 삭제합니다 +fruits.remove('lemon') +print(fruits) # ['orange', 'mango', 'banana'] +``` + +### Removing Items Using Pop + +*pop()* 메서드는 지정된 인덱스를 제거합니다(또는 인덱스가 지정되지 않은 경우 마지막 아이템): + +```py +# syntax +lst = ['item1', 'item2'] +lst.pop() # 마지막 아이템 +lst.pop(index) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.pop() +print(fruits) # ['banana', 'orange', 'mango'] + +fruits.pop(0) +print(fruits) # ['orange', 'mango'] +``` + +### Removing Items Using Del + +*del* 키워드는 지정된 인덱스를 삭제하며 인덱스 범위 내의 아이템을 삭제하는 데도 사용할 수 있습니다. 또한 리스트를 완전히 삭제할 수도 있습니다. + +```py +# syntax +lst = ['item1', 'item2'] +del lst[index] # 하니의 아이템 +del lst # 리스트를 완전히 삭제 +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon', 'kiwi', 'lime'] +del fruits[0] +print(fruits) # ['orange', 'mango', 'lemon', 'kiwi', 'lime'] +del fruits[1] +print(fruits) # ['orange', 'lemon', 'kiwi', 'lime'] +del fruits[1:3] # 이것은 주어진 인덱스 사이의 아이템을 삭제합니다, 그러므로 인덱스가 3인 아이템은 삭제되지 않습니다! +print(fruits) # ['orange', 'lime'] +del fruits +print(fruits) # NameError: name 'fruits' is not defined 가 발생해야합니다 +``` + +### Clearing List Items + +*clear()* 메서드를 사용해 리스트 비우기: + +```py +# syntax +lst = ['item1', 'item2'] +lst.clear() +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.clear() +print(fruits) # [] +``` + +### Copying a List + +다음의 방법으로 새 변수에 재할당하여 리스트를 복사할 수 있습니다:list2 = list1. 이제 list2는 list1의 참조이며, list2에서 변경한 내용은 원본 list1도 수정합니다. 하지만 원본을 수정하고 싶지 않고 다른 사본을 갖고 싶어하는 경우가 많습니다. 위의 문제를 피하는 한 가지 방법은 _copy()_ 를 사용하는 것입니다. + +```py +# syntax +lst = ['item1', 'item2'] +lst_copy = lst.copy() +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits_copy = fruits.copy() +print(fruits_copy) # ['banana', 'orange', 'mango', 'lemon'] +``` + +### Joining Lists + +파이썬에서 두 개 이상의 목록을 결합하거나 연결하는 방법은 여러 가지가 있습니다. + +- 플러스 연산자 (+) + +```py +# syntax +list3 = list1 + list2 +``` + +```py +positive_numbers = [1, 2, 3, 4, 5] +zero = [0] +negative_numbers = [-5,-4,-3,-2,-1] +integers = negative_numbers + zero + positive_numbers +print(integers) # [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] +fruits = ['banana', 'orange', 'mango', 'lemon'] +vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +fruits_and_vegetables = fruits + vegetables +print(fruits_and_vegetables ) # ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +``` + +- extend() 메서드를 사용하여 연결 + *extend()* 메서드를 사용하면 리스트에 리스트를 추가할 수 있습니다. 아래 예를 참조합시다. + +```py +# syntax +list1 = ['item1', 'item2'] +list2 = ['item3', 'item4', 'item5'] +list1.extend(list2) +``` + +```py +num1 = [0, 1, 2, 3] +num2= [4, 5, 6] +num1.extend(num2) +print('Numbers:', num1) # Numbers: [0, 1, 2, 3, 4, 5, 6] +negative_numbers = [-5,-4,-3,-2,-1] +positive_numbers = [1, 2, 3,4,5] +zero = [0] + +negative_numbers.extend(zero) +negative_numbers.extend(positive_numbers) +print('Integers:', negative_numbers) # Integers: [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] +fruits = ['banana', 'orange', 'mango', 'lemon'] +vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +fruits.extend(vegetables) +print('Fruits and vegetables:', fruits ) # Fruits and vegetables: ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +``` + +### Counting Items in a List + +*count()* 메서드는 리스트에 아이템이 나타나는 횟수를 반환합니다: + +```py +# syntax +lst = ['item1', 'item2'] +lst.count(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +print(fruits.count('orange')) # 1 +ages = [22, 19, 24, 25, 26, 24, 25, 24] +print(ages.count(24)) # 3 +``` + +### Finding Index of an Item + +*index()* 메서드는 리스트에 있는 아이템의 인덱스를 반환합니다: + +```py +# syntax +lst = ['item1', 'item2'] +lst.index(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +print(fruits.index('orange')) # 1 +ages = [22, 19, 24, 25, 26, 24, 25, 24] +print(ages.index(24)) # 2, 처음 만난 것 +``` + +### Reversing a List + +*reverse()* 메서드는 리스트의 순서를 거꾸로 합니다. + +```py +# syntax +lst = ['item1', 'item2'] +lst.reverse() + +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.reverse() +print(fruits) # ['lemon', 'mango', 'orange', 'banana'] +ages = [22, 19, 24, 25, 26, 24, 25, 24] +ages.reverse() +print(ages) # [24, 25, 24, 26, 25, 24, 19, 22] +``` + +### Sorting List Items + +리스트를 정렬하려면 _sort()_ 메서드 또는 _sorted()_ 내장 함수를 사용할 수 있습니다. _sort()_ 메서드는 리스트 아이템을 오름차순으로 정렬하고 원래 리스트를 수정합니다. 만약 _sort()_ 메서드의 reverse의 인자가 true라면, 그것은 목록을 내림차순으로 배열할 것입니다. + +- sort(): 이 메서드는 원래 리스트를 수정합니다 + + ```py + # syntax + lst = ['item1', 'item2'] + lst.sort() # 오름차순 + lst.sort(reverse=True) # 내림차순 + ``` + + **Example:** + + ```py + fruits = ['banana', 'orange', 'mango', 'lemon'] + fruits.sort() + print(fruits) # 알파벳순으로 정렬, ['banana', 'lemon', 'mango', 'orange'] + fruits.sort(reverse=True) + print(fruits) # ['orange', 'mango', 'lemon', 'banana'] + ages = [22, 19, 24, 25, 26, 24, 25, 24] + ages.sort() + print(ages) # [19, 22, 24, 24, 24, 25, 25, 26] + + ages.sort(reverse=True) + print(ages) # [26, 25, 25, 24, 24, 24, 22, 19] + ``` + + sorted(): 원래 리스트를 수정하지 않고 정렬된 리스트를 반환합니다 + **Example:** + + ```py + fruits = ['banana', 'orange', 'mango', 'lemon'] + print(sorted(fruits)) # ['banana', 'lemon', 'mango', 'orange'] + # 역순 + fruits = ['banana', 'orange', 'mango', 'lemon'] + fruits = sorted(fruits,reverse=True) + print(fruits) # ['orange', 'mango', 'lemon', 'banana'] + ``` + +🌕 당신은 성실하고 이미 많은 것을 성취했습니다. 여러분은 이제 막 5일차 도전을 마쳤고 위대함을 향한 5걸음 앞에 있습니다. 이제 여러분의 뇌와 근육을 위한 운동을 하세요. + +## 💻 Exercises: Day 5 + +### Exercises: Level 1 + +1. 빈 리스트를 선언합니다 +2. 5개 이상의 아이템을 갖는 리스트를 선언합니다 +3. 당신의 리스트의 길이를 알아봅니다 +4. 리스트의 첫번째, 중간의, 마지막 아이템을 얻어봅니다 +5. mixed_data_types 라는 리스트를 선언하고, 당신의 이름, 나이, 키, 결혼 여부, 주소를 넣어봅시다 +6. it_companies 라는 이름의 목록 변수를 선언하고 초기 값에 Facebook, Google, Microsoft, Apple, IBM, Oracle 및 Amazon을 할당합니다 +7. _print()_ 를 사용하여 리스트를 프린트 합니다 +8. 리스트에 있는 기업 수를 프린트 합니다 +9. 첫번째, 중간, 마지막 기업을 프린트 합니다 +10. 기업 중 하나를 수정하고 리스트를 프린트 합니다 +11. it_companies 에 하나의 IT 기업을 추가합니다 +12. 회사 리스트 중간에 IT 기업을 추가합니다 +13. it_companies 이름 중 하나를 대문자로 변경합니다 (IBM 제외!) +14. '#;  ' 라는 문자열로 it_companies 에 연결합니다 +15. it_companies 리스트에 특정 기업이 존재하는 지 확인합니다 +16. sort() 메서드를 사용해 리스트를 정렬합니다 +17. reverse() 메서드를 사용하여 리스트를 내림차순으로 반전합니다 +18. 리스트에서 처음 3개의 기업을 잘라냅니다 +19. 리스트에서 마지막 3개의 기업을 잘라냅니다 +20. 리스트에서 중간의 IT 기업 또는 기업들을 잘라냅니다 +21. 리스트에서 첫번째 IT 기업을 삭제합니다 +22. 리스트에서 중간의 IT 기업 또는 기업들을 삭제합니다 +23. 리스트에서 마지막 IT 기업을 삭제합니다 +24. 리스트에서 모든 IT 기업을 삭제합니다 +25. IT 기업 리스트를 완전히 제거합니다 +26. 다음 리스트를 연결합니다: + + ```py + front_end = ['HTML', 'CSS', 'JS', 'React', 'Redux'] + back_end = ['Node','Express', 'MongoDB'] + ``` + +27. 26번 문제의 리스트를 연결한 후, 연결된 리스트를 복사해 full_stack 변수에 할당합니다. 그리고 Python, SQL, Redux를 삽입합니다. + +### Exercises: Level 2 + +1. 다음은 10명의 학생의 나이 리스트입니다: + +```sh +ages = [19, 22, 19, 24, 20, 25, 26, 24, 25, 24] +``` + +- 리스트를 정렬하고 최소값 및 최대값 찾습니다 +- 리스트에 최소값 및 최대값을 다시 추가합니다 +- 나이의 중위값을 찾습니다(중간 아이템 하나 또는 중간 아이템 두 개를 2로 나눈 값) +- 평균 나이를 구합니다(모든 아이템의 합을 개수로 나눈 값) +- 나이의 범위를 구합니다(최대값 빼기 최소값) +- (최소값 - 평균)과 (최대값 - 평균)의 값을 비교하고 _abs()_ 메서드를 사용합니다. + +1. [국가 목록](https://github.com/Asabeneh/30-Days-Of-Python/tree/master/data/countries.py) 에서 중간 국가를 찾습니다. +1. 국가 리스트를 두개의 리스트로 나눕니다. 짝수라면 두개의 리스트의 크기가 갖게, 아니라면 앞의 리스트가 하나의 국가를 더 갖도록 합니다. +1. ['China', 'Russia', 'USA', 'Finland', 'Sweden', 'Norway', 'Denmark']. 앞의 세개 국가와 나머지를 scandic countries로 unpack합니다. + +🎉 CONGRATULATIONS ! 🎉 + +[<< Day 4](../04_Day_Strings/04_strings.md) | [Day 6 >>](../06_Day_Tuples/06_tuples.md) diff --git a/Korean/07_sets_ko.md b/Korean/07_sets_ko.md new file mode 100644 index 000000000..815f51e27 --- /dev/null +++ b/Korean/07_sets_ko.md @@ -0,0 +1,417 @@ +

    30 Days Of Python: Day 7 - Sets

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    Author: Asabeneh Yetayeh
    Second Edition: July, 2021

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    + +[<< Day 6](../06_Day_Tuples/06_tuples.md) | [Day 8 >>](../08_Day_Dictionaries/08_dictionaries.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Day 7](#-day-7) + - [Sets](#sets) + - [세트 만들기](#세트-만들기) + - [세트의 길이 구하기](#세트의-길이-구하기) + - [세트의 항목에 액세스](#세트의-항목에-엑세스) + - [항목 확인](#항목-확인) + - [세트에 항목 추가](#세트에-항목-추가) + - [세트에서 항목 제거](#세트에서-항목-제거) + - [세트의 항목 지우기](#세트의-항목-지우기) + - [세트 삭제](#세트-삭제) + - [목록을 집합으로 변환](#목록을-집합으로-변환) + - [집합 결합](#집합-결합) + - [교차 항목 찾기](#교차-항목-찾기) + - [하위 집합 및 수퍼 집합 확인](#하위-집합-및-수퍼-집합-확인) + - [두 세트 간의 차이 확인](#두-세트-간의-차이-확인) + - [두 집합 간의 대칭적 차이 찾기](#두-집합-간의-대칭적-차이-찾기) + - [집합 결합](#집합-결합) + - [💻 Exercises: Day 7](#-exercises-day-7) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) + +# 📘 Day 7 + +## Sets + +세트는 항목의 모음입니다. 초등학교 또는 고등학교 수학 수업으로 돌아가겠습니다. 집합의 수학 정의는 Python에서도 적용될 수 있습니다. 집합은 순서가 지정되지 않고 인덱싱되지 않은 개별 요소의 모음입니다. Python에서 집합은 고유한 항목을 저장하는 데 사용되며 집합 간에 *합집합* , *교차* , *차이* , *대칭적 차이* , *하위 집합* , *상위 집합* 및 *분리 집합* 을 찾을 수 있습니다. + +### 세트 만들기 + +중괄호 {}를 사용하여 세트 또는 *set()* 내장 함수를 생성합니다. + +- 빈 세트 만들기 + +```py +# syntax +st = {} +# or +st = set() +``` + +- 초기 항목으로 세트 만들기 + +```py +# syntax +st = {'item1', 'item2', 'item3', 'item4'} +``` + +**예시:** + +```py +# syntax +fruits = {'banana', 'orange', 'mango', 'lemon'} +``` + +### 세트의 길이 구하기 + +**len()** 메서드를 사용하여 집합의 길이를 찾습니다. + +```py +# syntax +st = {'item1', 'item2', 'item3', 'item4'} +len(set) +``` + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +len(fruits) +``` + +### 세트의 항목에 액세스 + +루프를 사용하여 항목에 액세스합니다. 우리는 루프 섹션에서 이것을 볼 것입니다 + +### 항목 확인 + +목록에 항목이 있는지 확인하기 위해 멤버십 연산자 *에서* 사용합니다. + +```py +# syntax +st = {'item1', 'item2', 'item3', 'item4'} +print("Does set st contain item3? ", 'item3' in st) # Does set st contain item3? True +``` + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +print('mango' in fruits ) # True +``` + +### 세트에 항목 추가 + +세트가 생성되면 항목을 변경할 수 없으며 항목을 추가할 수도 있습니다. + +- *add()* 를 사용하여 하나의 항목 추가 + +```py +# syntax +st = {'item1', 'item2', 'item3', 'item4'} +st.add('item5') +``` + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.add('lime') +``` + +- *update()* 를 사용하여 여러 항목 추가 *update()* 를 사용하면 세트에 여러 항목을 추가할 수 있습니다. *update()* 는 목록 인수를 사용합니다. + +```py +# syntax +st = {'item1', 'item2', 'item3', 'item4'} +st.update(['item5','item6','item7']) +``` + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = ('tomato', 'potato', 'cabbage','onion', 'carrot') +fruits.update(vegetables) +``` + +### 세트에서 항목 제거 + +*remove()* 메서드를 사용하여 집합에서 항목을 제거할 수 있습니다. 항목을 찾을 수 없으면 *remove()* 메서드는 오류를 발생시키므로 해당 항목이 주어진 집합에 있는지 확인하는 것이 좋습니다. 그러나, *discard()* 메서드는 오류를 발생시키지 않습니다. + +```py +# syntax +st = {'item1', 'item2', 'item3', 'item4'} +st.remove('item2') +``` + +pop() 메서드는 목록에서 임의의 항목을 제거하고 제거된 항목을 반환합니다. + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.pop() # removes a random item from the set + +``` + +제거된 항목에 관심이 있는 경우. + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +removed_item = fruits.pop() +``` + +### 세트의 항목 지우기 + +세트를 지우거나 비우려면 *clear* 메소드를 사용합니다. + +```py +# syntax +st = {'item1', 'item2', 'item3', 'item4'} +st.clear() +``` + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.clear() +print(fruits) # set() +``` + +### 세트 삭제 + +세트 자체를 삭제하려면 *del* 연산자를 사용합니다. + +```py +# syntax +st = {'item1', 'item2', 'item3', 'item4'} +del st +``` + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +del fruits +``` + +### 목록을 집합으로 변환 + +리스트를 세트로, 세트를 리스트로 변환할 수 있습니다. 목록을 세트로 변환하면 중복 항목이 제거되고 고유한 항목만 예약됩니다. + +```py +# syntax +lst = ['item1', 'item2', 'item3', 'item4', 'item1'] +st = set(lst) # {'item2', 'item4', 'item1', 'item3'} - the order is random, because sets in general are unordered +``` + +**예시:** + +```py +fruits = ['banana', 'orange', 'mango', 'lemon','orange', 'banana'] +fruits = set(fruits) # {'mango', 'lemon', 'banana', 'orange'} +``` + +### 집합 결합 + +*union()* 또는 *update()* 메서드를 사용하여 두 집합을 결합할 수 있습니다. + +- Union 이 메서드는 새 집합을 반환합니다. + +```py +# syntax +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item5', 'item6', 'item7', 'item8'} +st3 = st1.union(st2) +``` + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = {'tomato', 'potato', 'cabbage','onion', 'carrot'} +print(fruits.union(vegetables)) # {'lemon', 'carrot', 'tomato', 'banana', 'mango', 'orange', 'cabbage', 'potato', 'onion'} +``` + +- 업데이트 이 메서드는 주어진 집합에 집합을 삽입합니다. + +```py +# syntax +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item5', 'item6', 'item7', 'item8'} +st1.update(st2) # st2 contents are added to st1 +``` + +**예시:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = {'tomato', 'potato', 'cabbage','onion', 'carrot'} +fruits.update(vegetables) +print(fruits) # {'lemon', 'carrot', 'tomato', 'banana', 'mango', 'orange', 'cabbage', 'potato', 'onion'} +``` + +### 교차 항목 찾기 + +Intersection은 두 집합 모두에 있는 항목 집합을 반환합니다. 예를 참조하십시오 + +```py +# syntax +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item3', 'item2'} +st1.intersection(st2) # {'item3', 'item2'} +``` + +**예시:** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.intersection(even_numbers) # {0, 2, 4, 6, 8, 10} + +python = {'p', 'y', 't', 'h', 'o','n'} +dragon = {'d', 'r', 'a', 'g', 'o','n'} +python.intersection(dragon) # {'o', 'n'} +``` + +### 하위 집합 및 수퍼 집합 확인 + +집합은 다른 집합의 하위 집합 또는 상위 집합일 수 있습니다. + +- Subset: *issubset()* +- Super set: *issuperset* + +```py +# syntax +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.issubset(st1) # True +st1.issuperset(st2) # True +``` + +**예시:** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.issubset(even_numbers) # False, because it is a super set +whole_numbers.issuperset(even_numbers) # True + +python = {'p', 'y', 't', 'h', 'o','n'} +dragon = {'d', 'r', 'a', 'g', 'o','n'} +python.issubset(dragon) # False +``` + +### 두 세트 간의 차이 확인 + +두 집합 간의 차이를 반환합니다. + +```py +# syntax +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.difference(st1) # set() +st1.difference(st2) # {'item1', 'item4'} => st1\st2 +``` + +**예시:** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.difference(even_numbers) # {1, 3, 5, 7, 9} + +python = {'p', 'y', 't', 'o','n'} +dragon = {'d', 'r', 'a', 'g', 'o','n'} +python.difference(dragon) # {'p', 'y', 't'} - the result is unordered (characteristic of sets) +dragon.difference(python) # {'d', 'r', 'a', 'g'} +``` + +### 두 집합 간의 대칭적 차이 찾기 + +두 집합 간의 대칭 차이를 반환합니다. 수학적으로 두 세트에 있는 항목을 제외하고 두 세트의 모든 항목을 포함하는 세트를 리턴한다는 의미입니다. (A\B) ∪ (B\A) + +```py +# syntax +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +# it means (A\B)∪(B\A) +st2.symmetric_difference(st1) # {'item1', 'item4'} +``` + +**예시:** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +some_numbers = {1, 2, 3, 4, 5} +whole_numbers.symmetric_difference(some_numbers) # {0, 6, 7, 8, 9, 10} + +python = {'p', 'y', 't', 'h', 'o','n'} +dragon = {'d', 'r', 'a', 'g', 'o','n'} +python.symmetric_difference(dragon) # {'r', 't', 'p', 'y', 'g', 'a', 'd', 'h'} +``` + +### 집합 결합 + +두 세트에 공통 항목이 없으면 분리 세트라고 합니다. *isdisjoint()* 메서드를 사용하여 두 집합이 결합인지 분리인지 확인할 수 있습니다. + +```py +# syntax +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.isdisjoint(st1) # False +``` + +**예시:** + +```py +even_numbers = {0, 2, 4 ,6, 8} +even_numbers = {1, 3, 5, 7, 9} +even_numbers.isdisjoint(odd_numbers) # True, because no common item + +python = {'p', 'y', 't', 'h', 'o','n'} +dragon = {'d', 'r', 'a', 'g', 'o','n'} +python.isdisjoint(dragon) # False, there are common items {'o', 'n'} +``` + +🌕 당신은 떠오르는 별입니다. 당신은 방금 7일차 챌린지를 완료했으며 위대함을 향한 당신의 길에 7걸음 앞서 있습니다. 이제 뇌와 근육을 위한 몇 가지 훈련을 하십시오. + +## 💻 Exercises: Day 7 + +```py +# sets +it_companies = {'Facebook', 'Google', 'Microsoft', 'Apple', 'IBM', 'Oracle', 'Amazon'} +A = {19, 22, 24, 20, 25, 26} +B = {19, 22, 20, 25, 26, 24, 28, 27} +age = [22, 19, 24, 25, 26, 24, 25, 24] +``` + +### Exercises: Level 1 + +1. 집합 it_companies의 길이 찾기 +2. it_companies에 'Twitter' 추가 +3. it_companies 집합에 여러 IT 회사를 한 번에 삽입 +4. it_companies 집합에서 회사 중 하나를 제거합니다. +5. 제거하다와 버리다의 차이점은 무엇인가요? + +### Exercises: Level 2 + +1. A와 B를 결합 +2. 교차 항목 찾기 +3. A는 B의 부분집합 +4. A와 B는 서로소 집합입니다. +5. A는 B와, B는 A와 조인 +6. A와 B의 대칭 차이는 무엇입니까 +7. 세트를 완전히 삭제 + +### Exercises: Level 3 + +1. 연령을 세트로 변환하고 목록의 길이와 세트의 길이를 비교합니다. 어느 것이 더 큽니까? +2. 문자열, 목록, 튜플 및 집합과 같은 데이터 유형의 차이점을 설명하십시오. +3. *저는 교사이고 사람들에게 영감을 주고 가르치는 것을 좋아합니다.* 문장에 사용된 독특한 단어는 몇 개입니까? 분할 방법을 사용하고 고유한 단어를 가져오도록 설정합니다. + +🎉 축하합니다! 🎉 + +[<< 6일차](../06_Day_Tuples/06_tuples.md) | [8일차 >>](../08_Day_Dictionaries/08_dictionaries.md) diff --git a/Korean/08_Day_Dictionaries/08_dictionaries.md b/Korean/08_Day_Dictionaries/08_dictionaries.md new file mode 100644 index 000000000..a418cac2e --- /dev/null +++ b/Korean/08_Day_Dictionaries/08_dictionaries.md @@ -0,0 +1,342 @@ +
    +

    30 Days Of Python: Day 8 - Dictionaries

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + Second Edition: July, 2021 +     + +
    + +[<< Day 7 ](../07_Day_Sets/07_sets.md) | [Day 9 >>](../09_Day_Conditionals/09_conditionals.md) + +![30DaysOfPython](../../images/30DaysOfPython_banner3@2x.png) + +- [📘 Day 8](#-day-8) + - [Dictionaries](#dictionaries) + - [Creating a Dictionary](#creating-a-dictionary) + - [Dictionary Length](#dictionary-length) + - [Accessing Dictionary Items](#accessing-dictionary-items) + - [Adding Items to a Dictionary](#adding-items-to-a-dictionary) + - [Modifying Items in a Dictionary](#modifying-items-in-a-dictionary) + - [Checking Keys in a Dictionary](#checking-keys-in-a-dictionary) + - [Removing Key and Value Pairs from a Dictionary](#removing-key-and-value-pairs-from-a-dictionary) + - [Changing Dictionary to a List of Items](#changing-dictionary-to-a-list-of-items) + - [Clearing a Dictionary](#clearing-a-dictionary) + - [Deleting a Dictionary](#deleting-a-dictionary) + - [Copy a Dictionary](#copy-a-dictionary) + - [Getting Dictionary Keys as a List](#getting-dictionary-keys-as-a-list) + - [Getting Dictionary Values as a List](#getting-dictionary-values-as-a-list) + - [💻 Exercises: Day 8](#-exercises-day-8) + +# 📘 Day 8 + +## Dictionaries + +Dictionary는 순서가 없는 수정(변형) 가능한 쌍(키: 값)의 자료형의 컬렉션입니다. + +### Creating a Dictionary + +Dictionary를 만들려면 중괄호 {} 또는 *dict()* 내장 함수를 사용합니다. + +```py +# syntax +empty_dict = {} +# Dictionary with data values +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +``` + +**Example:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +``` + +상단의 Dictionary는 값이 어떤 자료형일 수도 있다는 것을 보여줍니다:string, boolean, list, tuple, set 또는 dictionary. + +### Dictionary Length + +dictionary 내 'key: value' 쌍의 개수를 확인합니다. + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(len(dct)) # 4 +``` + +**Example:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(len(person)) # 7 + +``` + +### Accessing Dictionary Items + +키의 이름을 통해 딕셔너리 아이템에 접근할 수 있습니다. + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct['key1']) # value1 +print(dct['key4']) # value4 +``` + +**Example:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(person['first_name']) # Asabeneh +print(person['country']) # Finland +print(person['skills']) # ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'] +print(person['skills'][0]) # JavaScript +print(person['address']['street']) # Space street +print(person['city']) # Error +``` + +존재하지 않는 키의 이름으로 아이템에 접근할 경우 에러가 발생할 수 있습니다. 이 에러를 피하기위해 우리는 우선 키가 존재하는지 확인해야합니다. 또는 _get_ 메서드를 사용할수 있습니다. get 메서드는 키가 존재하지 않을 경우, NoneType object 자료형인 None을 반환합니다. +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(person.get('first_name')) # Asabeneh +print(person.get('country')) # Finland +print(person.get('skills')) #['HTML','CSS','JavaScript', 'React', 'Node', 'MongoDB', 'Python'] +print(person.get('city')) # None +``` + +### Adding Items to a Dictionary + +딕셔너리에 새로운 키와 값의 쌍을 추가할 수 있습니다. + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct['key5'] = 'value5' +``` + +**Example:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +person['job_title'] = 'Instructor' +person['skills'].append('HTML') +print(person) +``` + +### Modifying Items in a Dictionary + +딕셔너리의 아이템을 수정할 수 있습니다 + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct['key1'] = 'value-one' +``` + +**Example:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +person['first_name'] = 'Eyob' +person['age'] = 252 +``` + +### Checking Keys in a Dictionary + +딕셔너리에 키가 존재하는 지 확인하기 위해 _in_ 연산자를 사용합니다 + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print('key2' in dct) # True +print('key5' in dct) # False +``` + +### Removing Key and Value Pairs from a Dictionary + +- _pop(key)_: 특정 키 이름을 가진 아이템을 삭제합니다 +- _popitem()_: 마지막 아이템을 삭제합니다 +- _del_: 특정 키 이름을 가진 아이템을 삭제합니다 + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct.pop('key1') # removes key1 item +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct.popitem() # removes the last item +del dct['key2'] # removes key2 item +``` + +**Example:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +person.pop('first_name') # Removes the firstname item +person.popitem() # Removes the address item +del person['is_married'] # Removes the is_married item +``` + +### Changing Dictionary to a List of Items + +_items()_ 메서드는 딕셔너리를 튜플의 리스트로 변환합니다. + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct.items()) # dict_items([('key1', 'value1'), ('key2', 'value2'), ('key3', 'value3'), ('key4', 'value4')]) +``` + +### Clearing a Dictionary + +딕셔너리 내의 아이템을 원하지 않는다면 _clear()_ 메서드를 사용해 비울 수 있습니다 + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct.clear()) # None +``` + +### Deleting a Dictionary + +딕셔너리를 사용하지않는다면 완전히 지울 수 있습니다 + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +del dct +``` + +### Copy a Dictionary + +_copy()_ 메서드를 통해 딕셔너리를 복사할 수 있습니다. copy를 사용해 원래 딕셔너리의 변화를 막을 수 있습니다. + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct_copy = dct.copy() # {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +``` + +### Getting Dictionary Keys as a List + +_keys()_ 메서드는 하나의 딕셔너리의 모든 키를 리스트로 줍니다. + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +keys = dct.keys() +print(keys) # dict_keys(['key1', 'key2', 'key3', 'key4']) +``` + +### Getting Dictionary Values as a List + +_values_ 메서드는 하나의 딕셔너리의 모든 값을 리스트로 줍니다. + +```py +# syntax +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +values = dct.values() +print(values) # dict_values(['value1', 'value2', 'value3', 'value4']) +``` + +🌕 당신은 정말 놀라워요. 이제, 여러분은 사전의 힘으로 완전히 충전되어 있습니다. 여러분은 이제 막 8일째의 도전을 마쳤고 위대함을 향해 8보 전진했습니다. 이제 여러분의 뇌와 근육을 위한 운동을 하세요. + +## 💻 Exercises: Day 8 + +1. dog라는 이름의 빈 딕셔너리를 생성합니다 +2. dog 딕셔너리에 name, color, breed, legs, age 를 추가합니다 +3. student 딕셔너리를 생성하고 first_name, last_name, gender, age, marital status, skills, country, city 와 address 를 키로 추가합니다 +4. student 딕셔너리의 길이를 얻습니다 +5. skills 의 값을 얻고 자료형을 확인합니다, list 여야 합니다 +6. 한개나 두개를 추가해 skills의 값을 수정합니다 +7. 딕셔너리의 키를 리스트로 얻습니다 +8. 딕셔너리의 값을 리스트로 얻습니다 +9. _items()_ 메서드를 이용해 튜플의 리스트로 딕셔너리를 바꿉니다 +10. 딕셔너리의 아이템중 하나를 삭제합니다 +11. 딕셔너리 중 하나를 삭제합니다 + +🎉 CONGRATULATIONS ! 🎉 + +[<< Day 7 ](../07_Day_Sets/07_sets.md) | [Day 9 >>](../09_Day_Conditionals/09_conditionals.md) diff --git a/Korean/10_loops_ko.md b/Korean/10_loops_ko.md new file mode 100644 index 000000000..0b6f58d92 --- /dev/null +++ b/Korean/10_loops_ko.md @@ -0,0 +1,448 @@ +

    30 Days Of Python: Day 10 - Loops

    Twitter Follow +
    +

    Author: Asabeneh Yetayeh
    Second Edition: July, 2021

    +
    + +[<< Day 9](../09_Day_Conditionals/09_conditionals.md) | [Day 11 >>](../11_Day_Functions/11_functions.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Day 10](#-day-10) + - [Loops](#loops) + - [While 루프](#while-루프) + - [Break 과 Continue - Part 1](#break-과-continue---part-1) + - [For 루프](#for-루프) + - [Break 과 Continue - Part 2](#break-과-continue---part-2) + - [범위 기능](#범위-기능) + - [중첩 For 루프](#중첩-for-루프) + - [For Else](#for-else) + - [Pass](#pass) + - [💻 Exercises: Day 10](#-exercises-day-10) + - [Exercises: Level 1](#exercises-level-1) + - [Exercises: Level 2](#exercises-level-2) + - [Exercises: Level 3](#exercises-level-3) + +# 📘 Day 10 + +## Loops + +인생은 일상으로 가득 차 있습니다. 프로그래밍에서 우리는 또한 많은 반복 작업을 수행합니다. 반복 작업을 처리하기 위해 프로그래밍 언어는 루프를 사용합니다. Python 프로그래밍 언어는 또한 다음 유형의 두 루프를 제공합니다. + +1. while loop +2. for loop + +### While 루프 + +우리는 while 루프를 만들기 위해 예약어 *while* 을 사용합니다. 주어진 조건이 만족될 때까지 문 블록을 반복적으로 실행하는 데 사용됩니다. 조건이 거짓이 되면 루프 뒤의 코드 행이 계속 실행됩니다. + +```py + # syntax +while condition: + code goes here +``` + +**예시:** + +```py +count = 0 +while count < 5: + print(count) + count = count + 1 +#prints from 0 to 4 +``` + +위의 while 루프에서 count가 5일 때 조건이 false가 됩니다. 이때 루프가 중지됩니다. 조건이 더 이상 참이 아닐 때 코드 블록을 실행하고 싶다면 *else* 를 사용할 수 있습니다. + +```py + # syntax +while condition: + code goes here +else: + code goes here +``` + +**예시:** + +```py +count = 0 +while count < 5: + print(count) + count = count + 1 +#prints from 0 to 4 +``` + +위의 루프 조건은 count가 5이고 루프가 중지되고 실행이 else 문을 시작하면 거짓이 됩니다. 결과적으로 5가 인쇄됩니다. + +### Break 과 Continue - Part 1 + +- 중단: 루프에서 벗어나거나 중단하고 싶을 때 중단을 사용합니다. + +```py +# syntax +while condition: + code goes here + if another_condition: + break +``` + +**예시:** + +```py +count = 0 +while count < 5: + print(count) + count = count + 1 + if count == 3: + break +``` + +위의 while 루프는 0, 1, 2만 인쇄하지만 3에 도달하면 중지합니다. + +- 계속: continue 문을 사용하면 현재 반복을 건너뛰고 다음을 계속할 수 있습니다. + +```py + # syntax +while condition: + code goes here + if another_condition: + continue +``` + +**예시:** + +```py +count = 0 +while count < 5: + if count == 3: + continue + print(count) + count = count + 1 +``` + +위의 while 루프는 0, 1, 2 및 4만 인쇄합니다(3을 건너뜁니다). + +### For 루프 + +*for* 키워드는 다른 프로그래밍 언어와 유사하지만 구문이 약간 다른 for 루프를 만드는 데 사용됩니다. 루프는 시퀀스(즉, 목록, 튜플, 사전, 집합 또는 문자열)를 반복하는 데 사용됩니다. + +- For loop with list + +```py +# syntax +for iterator in lst: + code goes here +``` + +**예시:** + +```py +numbers = [0, 1, 2, 3, 4, 5] +for number in numbers: # number is temporary name to refer to the list's items, valid only inside this loop + print(number) # the numbers will be printed line by line, from 0 to 5 +``` + +- For loop with string + +```py +# syntax +for iterator in string: + code goes here +``` + +**예시:** + +```py +language = 'Python' +for letter in language: + print(letter) + + +for i in range(len(language)): + print(language[i]) +``` + +- For loop with tuple + +```py +# syntax +for iterator in tpl: + code goes here +``` + +**예시:** + +```py +numbers = (0, 1, 2, 3, 4, 5) +for number in numbers: + print(number) +``` + +- 사전을 사용한 For 루프 사전을 통한 루프는 사전의 키를 제공합니다. + +```py + # syntax +for iterator in dct: + code goes here +``` + +**예시:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +for key in person: + print(key) + +for key, value in person.items(): + print(key, value) # this way we get both keys and values printed out +``` + +- Loops in set + +```py +# syntax +for iterator in st: + code goes here +``` + +**예시:** + +```py +it_companies = {'Facebook', 'Google', 'Microsoft', 'Apple', 'IBM', 'Oracle', 'Amazon'} +for company in it_companies: + print(company) +``` + +### Break 과 Continue - Part 2 + +짧은 알림: *중단* : 루프가 완료되기 전에 중단하고 싶을 때 중단을 사용합니다. + +```py +# syntax +for iterator in sequence: + code goes here + if condition: + break +``` + +**예시:** + +```py +numbers = (0,1,2,3,4,5) +for number in numbers: + print(number) + if number == 3: + break +``` + +위의 예에서 루프는 3에 도달하면 중지됩니다. + +계속: 루프 반복에서 일부 단계를 건너뛰고 싶을 때 계속을 사용합니다. + +```py + # syntax +for iterator in sequence: + code goes here + if condition: + continue +``` + +**예시:** + +```py +numbers = (0,1,2,3,4,5) +for number in numbers: + print(number) + if number == 3: + continue + print('Next number should be ', number + 1) if number != 5 else print("loop's end") # for short hand conditions need both if and else statements +print('outside the loop') +``` + +위의 예에서 숫자가 3이면 조건 *다음* 단계(루프 내부)를 건너뛰고 반복이 남아 있으면 루프 실행이 계속됩니다. + +### 범위 기능 + +*range()* 함수는 숫자 목록에 사용됩니다. *범위(시작, 끝, 단계)* 는 시작, 종료 및 증분의 세 가지 매개변수를 사용합니다. 기본적으로 0부터 시작하고 증분은 1입니다. 범위 시퀀스에는 최소 1개의 인수(종료)가 필요합니다. 범위를 사용하여 시퀀스 만들기 + +```py +lst = list(range(11)) +print(lst) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +st = set(range(1, 11)) # 2 arguments indicate start and end of the sequence, step set to default 1 +print(st) # {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} + +lst = list(range(0,11,2)) +print(lst) # [0, 2, 4, 6, 8, 10] +st = set(range(0,11,2)) +print(st) # {0, 2, 4, 6, 8, 10} +``` + +```py +# syntax +for iterator in range(start, end, step): +``` + +**예시:** + +```py +for number in range(11): + print(number) # prints 0 to 10, not including 11 +``` + +### 중첩 For 루프 + +루프 안에 루프를 작성할 수 있습니다. + +```py +# syntax +for x in y: + for t in x: + print(t) +``` + +**예시:** + +```py +person = { + 'first_name': 'Asabeneh', + 'last_name': 'Yetayeh', + 'age': 250, + 'country': 'Finland', + 'is_marred': True, + 'skills': ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address': { + 'street': 'Space street', + 'zipcode': '02210' + } +} +for key in person: + if key == 'skills': + for skill in person['skills']: + print(skill) +``` + +### For Else + +루프가 끝날 때 메시지를 실행하려면 else를 사용합니다. + +```py +# syntax +for iterator in range(start, end, step): + do something +else: + print('The loop ended') +``` + +**예시:** + +```py +for number in range(11): + print(number) # prints 0 to 10, not including 11 +else: + print('The loop stops at', number) +``` + +### Pass + +Python에서 when 문이 필요하지만(세미콜론 뒤에) 코드를 실행하는 것을 좋아하지 않으므로 오류를 피하기 위해 *pass* 라는 단어를 쓸 수 있습니다. 또한 향후 진술을 위해 자리 표시자로 사용할 수 있습니다. + +**예시:** + +```py +for number in range(6): + pass +``` + +🌕 당신은 큰 이정표를 세웠고, 당신은 멈출 수 없습니다. 계속하세요! 10일차 챌린지를 방금 완료했으며 위대함을 향한 10단계를 앞두고 있습니다. 이제 뇌와 근육을 위한 몇 가지 운동을 하십시오. + +## 💻 Exercises: Day 10 + +### Exercises: Level 1 + +1. for 루프를 사용하여 0에서 10까지 반복하고 while 루프를 사용하여 동일한 작업을 수행합니다. + +2. for 루프를 사용하여 10에서 0까지 반복하고 while 루프를 사용하여 동일한 작업을 수행합니다. + +3. print()를 7번 호출하는 루프를 작성하여 다음 삼각형을 출력합니다. + + ```py + # + ## + ### + #### + ##### + ###### + ####### + ``` + +4. 중첩 루프를 사용하여 다음을 만듭니다. + + ```sh + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + ``` + +5. 다음 패턴을 인쇄합니다. + + ```sh + 0 x 0 = 0 + 1 x 1 = 1 + 2 x 2 = 4 + 3 x 3 = 9 + 4 x 4 = 16 + 5 x 5 = 25 + 6 x 6 = 36 + 7 x 7 = 49 + 8 x 8 = 64 + 9 x 9 = 81 + 10 x 10 = 100 + ``` + +6. for 루프를 사용하여 ['Python', 'Numpy','Pandas','Django', 'Flask'] 목록을 반복하고 항목을 출력합니다. + +7. for 루프를 사용하여 0에서 100까지 반복하고 짝수만 출력 + +8. for 루프를 사용하여 0에서 100까지 반복하고 홀수만 출력 + +### Exercises: Level 2 + +1. for 루프를 사용하여 0에서 100까지 반복하고 모든 숫자의 합계를 인쇄합니다. + +```sh +The sum of all numbers is 5050. +``` + +1. for 루프를 사용하여 0에서 100까지 반복하고 모든 짝수의 합과 모든 승산의 합을 인쇄합니다. + + ```sh + The sum of all evens is 2550. And the sum of all odds is 2500. + ``` + +### Exercises: Level 3 + +1. 데이터 폴더로 이동하여 [countries.py](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries.py) 파일을 사용합니다. 국가를 순환하고 단어 *land* 를 포함하는 모든 국가를 추출합니다. +2. 이것은 과일 목록입니다. ['banana', 'orange', 'mango', 'lemon'] 루프를 사용하여 순서를 뒤집습니다. +3. 데이터 폴더로 이동하여 [countries_data.py](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries-data.py) 파일을 사용합니다. + 1. 데이터의 총 언어 수는 얼마입니까? + 2. 데이터에서 가장 많이 사용되는 10개 언어 찾기 + 3. 세계에서 인구가 가장 많은 10개 국가 찾기 + +🎉 축하합니다! 🎉 + +[<< Day 9](../09_Day_Conditionals/09_conditionals.md) | [Day 11 >>](../11_Day_Functions/11_functions.md) diff --git a/Korean/readme_ko.md b/Korean/readme_ko.md new file mode 100644 index 000000000..d6160ec27 --- /dev/null +++ b/Korean/readme_ko.md @@ -0,0 +1,454 @@ +# 🐍 30 Days Of Python + +|# Day | Topics | +|------|:---------------------------------------------------------:| +| 01 | [Introduction](./readme_ko.md)| +| 02 | [Variables, Built-in Functions](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md)| +| 03 | [Operators](../03_Day_Operators/03_operators.md)| +| 04 | [Strings](../04_Day_Strings/04_strings.md)| +| 05 | [Lists](../05_Day_Lists/05_lists.md)| +| 06 | [Tuples](../06_Day_Tuples/06_tuples.md)| +| 07 | [Sets](../07_Day_Sets/07_sets.md)| +| 08 | [Dictionaries](../08_Day_Dictionaries/08_dictionaries.md)| +| 09 | [Conditionals](../09_Day_Conditionals/09_conditionals.md)| +| 10 | [Loops](../10_Day_Loops/10_loops.md)| +| 11 | [Functions](../11_Day_Functions/11_functions.md)| +| 12 | [Modules](../12_Day_Modules/12_modules.md)| +| 13 | [List Comprehension](../13_Day_List_comprehension/13_list_comprehension.md)| +| 14 | [Higher Order Functions](../14_Day_Higher_order_functions/14_higher_order_functions.md)| +| 15 | [Python Type Errors](../15_Day_Python_type_errors/15_python_type_errors.md)| +| 16 | [Python Date time](../16_Day_Python_date_time/16_python_datetime.md) | +| 17 | [Exception Handling](../17_Day_Exception_handling/17_exception_handling.md)| +| 18 | [Regular Expressions](../18_Day_Regular_expressions/18_regular_expressions.md)| +| 19 | [File Handling](../19_Day_File_handling/19_file_handling.md)| +| 20 | [Python Package Manager](../20_Day_Python_package_manager/20_python_package_manager.md)| +| 21 | [Classes and Objects](../21_Day_Classes_and_objects/21_classes_and_objects.md)| +| 22 | [Web Scraping](../22_Day_Web_scraping/22_web_scraping.md)| +| 23 | [Virtual Environment](../23_Day_Virtual_environment/23_virtual_environment.md)| +| 24 | [Statistics](../24_Day_Statistics/24_statistics.md)| +| 25 | [Pandas](../25_Day_Pandas/25_pandas.md)| +| 26 | [Python web](../26_Day_Python_web/26_python_web.md)| +| 27 | [Python with MongoDB](../27_Day_Python_with_mongodb/27_python_with_mongodb.md)| +| 28 | [API](../28_Day_API/28_API.md)| +| 29 | [Building API](../29_Day_Building_API/29_building_API.md)| +| 30 | [Conclusions](../30_Day_Conclusions/30_conclusions.md)| + +🧡🧡🧡 HAPPY CODING 🧡🧡🧡 + +
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    30 Days Of Python: Day 1 - Introduction

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    + Second Edition: July, 2021 +     +
    + + +[Day 2 >>](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [🐍 30 Days Of Python](#-30-days-of-python) +- [📘 Day 1](#-day-1) + - [환영합니다](#환영합니다) + - [소개](#소개) + - [왜 Python이느냐?](#왜-python이느냐?) + - [환경 설정](#환경-설정) + - [Python 설치](#python-설치) + - [Python 셸](#python-셸) + - [Visual Studio Code 설치](#visual-studio-code-설치) + - [visual studio code를 사용하기](#visual-studio-code를-사용하기) + - [Python 기본](#python-기본) + - [Python 구문](#python-구문) + - [Python 들여쓰기](#python-들여쓰기) + - [주석](#주석) + - [데이터 타입](#데이터-타입) + - [Number](#number) + - [String](#string) + - [Booleans](#booleans) + - [List](#list) + - [Dictionary](#dictionary) + - [Tuple](#tuple) + - [Set](#set) + - [데이터 타입 체크](#데이터-타입-체크) + - [Python 파일](#python-파일) + - [💻 Exercises - Day 1](#-exercises---day-1) + - [Exercise: Level 1](#exercise-level-1) + - [Exercise: Level 2](#exercise-level-2) + - [Exercise: Level 3](#exercise-level-3) + +# 📘 Day 1 + +## 환영합니다 + +_30 days of Python_에 참여하기로 결정하신 것을 **축하드립니다**. 이 챌린지에서는 Python 프로그래머가 되기 위해 필요한 모든 것과 프로그래밍의 전체 개념을 배우게 됩니다. 챌린지가 끝나면 _30DaysOfPython_프로그래밍 챌린지 인증서를 받게 됩니다. + +챌린지에 적극적으로 참여하고 싶다면 [30DaysOfPython challenge](https://t.me/ThirtyDaysOfPython) 텔레그램 그룹에 가입할 수 있습니다. + +## 소개 + +Python은 범용 프로그래밍을 위한 고급 프로그래밍 언어입니다. 오픈 소스, 인터프리터, 객체 지향 프로그래밍 언어입니다. Python은 네덜란드 프로그래머 Guido van Rossum이 만들었습니다. Python 프로그래밍 언어의 이름은 영국 스케치 코미디 시리즈 *Month Python's Flying Circus* 에서 파생되었습니다. 첫 번째 버전은 1991년 2월 20일에 출시되었습니다. 이 30일간의 Python 챌린지는 최신 버전의 Python인 Python 3를 차근차근 배울 수 있도록 도와줄 것입니다. 주제는 30일로 나뉘며, 매일 이해하기 쉬운 설명, 실제 사례, 많은 실습 및 프로젝트가 포함된 여러 주제가 포함됩니다. + +이 챌린지는 Python 프로그래밍 언어를 배우고자 하는 초보자와 전문가를 위해 고안되었습니다. 챌린지를 완료하는 데 30~100일이 소요될 수 있으며 텔레그램 그룹에 적극적으로 참여하는 사람들이 챌린지를 완료할 확률이 높습니다. +시각적 학습자이거나 동영상을 선호하는 경우 이 [완전 초보를 위한 Python 동영상](https://www.youtube.com/watch?v=11OYpBrhdyM)으로 시작할 수 있습니다. + +## 왜 Python이느냐? + +인간의 언어에 매우 가깝고 배우기 쉽고 사용하기 쉬운 프로그래밍 언어입니다. +Python은 다양한 산업 및 회사(Google 포함)에서 사용됩니다. 웹 응용 프로그램, 데스크톱 응용 프로그램, 시스템 관리 및 기계 학습 라이브러리를 개발하는 데 사용되었습니다. Python은 데이터 과학 및 기계 학습 커뮤니티에서 널리 사용되는 언어입니다. 이것이 Python 학습을 시작하도록 설득하기에 충분하기를 바랍니다. Python은 세상을 지배하고 있으니 지배 당하기 전에 Python을 지배하십시오. +## 환경 설정 + +### Python 설치 + +Python 스크립트를 실행하려면 Python을 설치해야 합니다. Python을 [다운로드](https://www.python.org/)합시다. +Windows 사용자인 경우. 빨간색 동그라미 친 버튼을 클릭합니다. + + + +macOS 사용자인 경우. 빨간색 동그라미 친 버튼을 클릭합니다. + +[![Windows에서 설치](../images/installing_on_windows.png)](https://www.python.org/) + +Python이 설치되어 있는지 확인하려면 장치 터미널에 다음 명령을 작성하십시오. + +```shell +python --version +``` + +![Python Version](../images/python_versio.png) + +터미널에서 보시다시피 저는 현재 _Python 3.7.5_ 버전을 사용하고 있습니다. 귀하의 Python 버전은 내 버전과 다를 수 있지만 3.6 이상이어야 합니다. Python 버전을 볼 수 있다면 잘한 것입니다. 이제 컴퓨터에 Python이 설치되었습니다. 다음 섹션으로 계속 진행하십시오. + +### Python 셸 + +Python은 해석된 스크립팅 언어이므로 컴파일할 필요가 없습니다. 코드를 한 줄씩 실행한다는 의미입니다. Python은 _Python Shell(Python Interactive Shell)_과 함께 제공됩니다. 단일 Python 명령을 실행하고 결과를 얻는 데 사용됩니다. + +Python Shell은 사용자의 Python 코드를 기다립니다. 코드를 입력하면 코드를 해석하여 다음 줄에 결과를 표시합니다. +터미널이나 명령 프롬프트(cmd)를 열고 쓰기: + +```shell +python +``` + +![Python Scripting Shell](../images/opening_python_shell.png) + +Python 대화형 셸이 열리고 Python 코드(Python 스크립트)를 작성하기를 기다립니다. 기호 >>> 옆에 Python 스크립트를 작성하고 Enter를 누릅니다. +Python 스크립팅 셸에서 첫 번째 스크립트를 작성해 보겠습니다. + +![Python script on Python shell](../images/adding_on_python_shell.png) + +훌륭합니다. Python 대화형 셸에서 첫 번째 Python 스크립트를 작성했습니다. Python 대화형 셸을 어떻게 닫습니까? +셸을 닫으려면 기호 옆에 >> **exit()** 명령을 작성하고 Enter 키를 누릅니다. + +![Exit from python shell](../images/exit_from_shell.png) + +이제 Python 대화형 셸을 여는 방법과 종료하는 방법을 알았습니다. + +Python은 Python이 이해하는 스크립트를 작성하면 결과를 제공하고 그렇지 않으면 오류를 반환합니다. 고의적인 실수를 하고 Python이 무엇을 반환하는지 봅시다. + +![Invalid Syntax Error](../images/invalid_syntax_error.png) + +반환된 오류에서 볼 수 있듯이 Python은 우리가 저지른 실수와 _Syntax Error: invalid syntax_를 알고 있을 정도로 영리합니다. Python에서 x를 곱셈으로 사용하는 것은 (x)가 Python에서 유효한 구문이 아니기 때문에 구문 오류입니다. (**x**) 대신 곱셈에 별표(*)를 사용합니다. 반환된 오류는 수정해야 할 사항을 명확하게 보여줍니다. + +프로그램에서 오류를 식별하고 제거하는 프로세스를 *디버깅*이라고 합니다. **x** 대신 *를 넣어 디버깅해 봅시다. + +![Fixing Syntax Error](../images/fixing_syntax_error.png) + +버그가 수정되었고 코드가 실행되었으며 예상했던 결과를 얻었습니다. 프로그래머로서 매일 이러한 종류의 오류를 보게 될 것입니다. 디버깅 방법을 아는 것이 좋습니다. 디버깅을 잘하려면 어떤 종류의 오류가 발생했는지 이해해야 합니다. 발생할 수 있는 Python 오류 중 일부는 *SyntaxError*, *IndexError*, *NameError*, *ModuleNotFoundError*, *KeyError*, *ImportError*, *AttributeError*, *TypeError*, *ValueError*, *ZeroDivisionError* 등입니다. 이후 섹션에서 다른 Python **_오류 유형_**에 대해 자세히 알아볼 것입니다. + +Python 대화형 셸을 사용하는 방법을 더 연습해 보겠습니다. 터미널이나 명령 프롬프트로 이동하여 **python**이라는 단어를 씁니다. + +![Python Scripting Shell](../images/opening_python_shell.png) + +Python 대화형 셸이 열립니다. 몇 가지 기본적인 수학 연산(더하기, 빼기, 곱하기, 나누기, 나머지, 지수)을 수행해 보겠습니다. + +Python 코드를 작성하기 전에 먼저 몇 가지 수학을 수행해 보겠습니다: + +- 2 + 3 = 5 +- 3 - 2 = 1 +- 3 \* 2 = 6 +- 3 / 2 = 1.5 +- 3 ^ 2 = 3 x 3 = 9 + +Python에는 다음과 같은 추가 작업이 있습니다: + +- 3 % 2 = 1 => 나머지를 구함 +- 3 // 2 = 1 => 나머지를 제거 + +위의 수학식을 Python 코드로 바꿔봅시다. Python 셸이 열렸으며 셸 맨 처음에 주석을 작성하겠습니다. + +_comment_는 Python에 의해 실행되지 않는 코드의 일부입니다. 따라서 코드를 더 읽기 쉽게 만들기 위해 코드에 일부 텍스트를 남길 수 있습니다. Python은 주석 부분을 실행하지 않습니다. Python에서 주석은 해시(#) 기호로 시작합니다. +이것이 Python에서 주석을 작성하는 방법입니다 + +```shell + # 주석은 해시로 시작합니다. + # (#) 심볼로 시작하기 때문에 이것은 파이썬 주석입니다. +``` + +![Maths on python shell](../images/maths_on_python_shell.png) + +다음 섹션으로 이동하기 전에 Python 대화형 셸에서 더 많은 연습을 해 보겠습니다. 셸에서 _exit()_를 작성하여 열린 셸을 닫았다가 다시 열어 Python 셸에서 텍스트를 쓰는 방법을 연습해 봅시다. + +![Writing String on python shell](../images/writing_string_on_shell.png) + +### Visual Studio Code 설치 + +Python 대화형 셸은 작은 스크립트 코드를 시도하고 테스트하는 데 적합하지만 큰 프로젝트에는 적합하지 않습니다. 실제 작업 환경에서 개발자는 다양한 코드 편집기를 사용하여 코드를 작성합니다. 이 30일간의 Python 프로그래밍 챌린지에서는 Visual Studio 코드를 사용합니다. Visual Studio Code는 매우 인기 있는 오픈 소스 텍스트 편집기입니다. 나는 vscode의 팬이고 Visual Studio 코드를 [다운로드](https://code.visualstudio.com/)하는 것을 추천하고 싶지만, 다른 편집자를 선호한다면 가지고 있는 것을 자유롭게 따르십시오. + +[![Visual Studio Code](../images/vscode.png)](https://code.visualstudio.com/) + +Visual Studio Code를 설치하셨다면 어떻게 사용하는지 알아보겠습니다. +비디오를 선호하는 경우 Python용 Visual Studio Code[비디오 자습서](https://www.youtube.com/watch?v=bn7Cx4z-vSo)를 따를 수 있습니다. + +#### visual studio code를 사용하기 + +Visual Studio 아이콘을 두 번 클릭하여 Visual Studio 코드를 엽니다. 열면 이런 종류의 인터페이스가 나타납니다. 레이블이 지정된 아이콘을 따라해보세요. + +![Visual studio Code](../images/vscode_ui.png) + +바탕 화면에 30DaysOfPython이라는 폴더를 만듭니다. 그런 다음 Visual Studio 코드를 사용하여 엽시다. + +![Opening Project on Visual studio](../images/how_to_open_project_on_vscode.png) + +![Opening a project](../images/opening_project.png) + +파일을 열면 30DaysOfPython 프로젝트의 디렉토리 내부에 파일과 폴더를 생성하기 위한 바로 가기가 표시됩니다. 아래에서 볼 수 있듯이 첫 번째 파일인 helloworld.py를 만들었습니다. 당신도 똑같이 할 수 있습니다. + +![Creating a python file](../images/helloworld.png) + +하루동안 오래 코딩을 한 후에 코드 편집기를 닫고 싶습니까? 이렇게 열린 프로젝트를 닫으면 됩니다. + +![Closing project](../images/closing_opened_project.png) + +축하합니다. 개발 환경 설정을 완료했습니다. 코딩을 시작해 봅시다. + +## Python 기본 + +### Python 구문 + +Python 스크립트는 Python 대화형 셸 또는 코드 편집기에서 작성할 수 있습니다. Python 파일의 확장자는 .py입니다. + +### Python 들여 쓰기 + +들여쓰기는 텍스트의 공백입니다. 많은 언어에서 들여쓰기는 코드 가독성을 높이는 데 사용되지만 Python은 들여쓰기를 사용하여 코드 블록을 만듭니다. 다른 프로그래밍 언어에서는 중괄호를 사용하여 들여쓰기 대신 코드 블록을 만듭니다. Python 코드를 작성할 때 흔히 발생하는 버그 중 하나는 잘못된 들여쓰기입니다. + +![Indentation Error](../images/indentation.png) + +### 주석 + +주석은 코드를 더 읽기 쉽게 만들고 코드에 설명을 남기기 위해 매우 중요합니다. Python은 코드의 주석 부분을 실행하지 않습니다. +Python에서 해시(#)로 시작하는 모든 텍스트는 주석입니다. + +**예시:한 문장 주석** + +```shell + # This is the first comment + # This is the second comment + # Python is eating the world +``` + +**예시: 여러 문장 주석** + +Triple quote can be used for multiline comment if it is not assigned to a variable + +```shell +"""This is multiline comment +multiline comment takes multiple lines. +python is eating the world +""" +``` + +### 데이터 타입 + +Python에는 여러 유형의 데이터 유형이 있습니다. 가장 일반적인 것부터 시작하겠습니다. 다른 데이터 유형은 다른 섹션에서 자세히 다룰 것입니다. 당분간 다양한 데이터 유형을 살펴보고 익숙해지도록 합시다. 지금은 명확하게 이해하지 않아도 됩니다. + +#### Number + +- Integer: 정수(음수, 영 그리고 양수) + 예시: + ... -3, -2, -1, 0, 1, 2, 3 ... +- Float: 십진수 + 예시 + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... +- Complex + 예시 + 1 + j, 2 + 4j + +#### String + +작은따옴표 또는 큰따옴표 아래에 있는 하나 이상의 문자 모음입니다. 문자열이 두 문장 이상인 경우 삼중 따옴표를 사용합니다. + +**예시:** + +```py +'Asabeneh' +'Finland' +'Python' +'I love teaching' +'I hope you are enjoying the first day of 30DaysOfPython Challenge' +``` + +#### Boolean + +부울 데이터 유형은 True 또는 False 값입니다. T와 F는 항상 대문자여야 합니다. + +**예시:** + +```python + True # 불이 켜져있나요? 그러면 참입니다. + False # 불이 꺼져있나요? 그러면 거짓입니다. +``` + +#### List + +Python 리스트는 다른 데이터 유형 항목을 저장할 수 있는 정렬된 컬렉션입니다. 리스트는 JavaScript의 배열과 비슷합니다. + +**Example:** + +```py +[0, 1, 2, 3, 4, 5] # 모두 동일한 데이터 유형 - 숫자 리스트 +['Banana', 'Orange', 'Mango', 'Avocado'] # 모두 동일한 데이터 유형 - 문자열 리스트(과일) +['Finland','Estonia', 'Sweden','Norway'] # 모두 동일한 데이터 유형 - 문자열 리스트(국가) +['Banana', 10, False, 9.81] # 리스트의 다양한 데이터 유형 - 문자열, 정수, 부울 및 부동 소수점 +``` + +#### Dictionary + +Python 사전 개체는 키 값 쌍 형식의 정렬되지 않은 데이터 모음입니다. + +**Example:** + +```py +{ +'first_name':'Asabeneh', +'last_name':'Yetayeh', +'country':'Finland', +'age':250, +'is_married':True, +'skills':['JS', 'React', 'Node', 'Python'] +} +``` + +#### Tuple + +튜플은 목록과 같은 다양한 데이터 유형의 정렬된 모음이지만 튜플이 생성되면 수정할 수 없습니다. 그것들은 변할 수 없습니다. + +**Example:** + +```py +('Asabeneh', 'Pawel', 'Brook', 'Abraham', 'Lidiya') # Names +``` + +```py +('Earth', 'Jupiter', 'Neptune', 'Mars', 'Venus', 'Saturn', 'Uranus', 'Mercury') # planets +``` + +#### Set + +집합은 목록 및 튜플과 유사한 데이터 유형의 모음입니다. 목록 및 튜플과 달리 집합은 순서가 지정된 항목 모음이 아닙니다. 수학에서와 마찬가지로 Python에서 set은 고유한 항목만 저장합니다. + +이후 섹션에서는 각각의 모든 Python 데이터 유형에 대해 자세히 설명합니다. + +**Example:** + +```py +{2, 4, 3, 5} +{3.14, 9.81, 2.7} # order is not important in set +``` + +### 데이터 타입 체크 + +특정 데이터/변수의 데이터 유형을 확인하기 위해 **type** 기능을 사용합니다. 다음 터미널에서 다양한 Python 데이터 유형을 볼 수 있습니다: + +![Checking Data types](../images/checking_data_types.png) + +### Python 파일 + +먼저 프로젝트 폴더인 30DaysOfPython을 엽니다. 이 폴더가 없으면 30DaysOfPython이라는 폴더 이름을 만듭니다. 이 폴더 안에 helloworld.py라는 파일을 만듭니다. 이제 Visual Studio 코드를 사용하여 Python 대화형 셸에서 수행한 작업을 수행해 보겠습니다. + +Python 대화형 셸은 **print**를 사용하지 않고 인쇄했지만 Visual Studio 코드에서 결과를 보려면 내장 함수 *print()를 사용해야 합니다. *print()* 내장 함수는 *print('arument1', 'argument2', 'argument3')*와 같이 하나 이상의 인수를 사용합니다. 아래 예를 참조하십시오. + +**Example:** + +파일 이름은 helloworld.py. + +```py +# Day 1 - 30DaysOfPython Challenge + +print(2 + 3) # addition(+) +print(3 - 1) # subtraction(-) +print(2 * 3) # multiplication(*) +print(3 / 2) # division(/) +print(3 ** 2) # exponential(**) +print(3 % 2) # modulus(%) +print(3 // 2) # Floor division operator(//) + +# Checking data types +print(type(10)) # Int +print(type(3.14)) # Float +print(type(1 + 3j)) # Complex number +print(type('Asabeneh')) # String +print(type([1, 2, 3])) # List +print(type({'name':'Asabeneh'})) # Dictionary +print(type({9.8, 3.14, 2.7})) # Set +print(type((9.8, 3.14, 2.7))) # Tuple +``` + +Python 파일을 실행하려면 아래 이미지를 확인하세요. Visual Studio Code에서 녹색 버튼을 실행하거나 터미널에 *python helloworld.py*를 입력하여 Python 파일을 실행할 수 있습니다. + +![Running python script](../images/running_python_script.png) + +🌕 좋습니다. 당신은 방금 1일차 도전을 완료했고 당신은 위대한 여정에 있습니다. 이제 뇌와 근육을 위한 몇 가지 훈련을 해봅시다. + +## 💻 Exercises - Day 1 + +### Exercise: Level 1 + +1. 사용 중인 Python 버전 확인 +2. Python 대화형 셸을 열고 다음 작업을 수행합니다. 피연산자는 3과 4입니다. + - 더하기(+) + - 빼기(-) + - 곱하기(\*) + - 나머지(%) + - 나누기(/) + - 지수(\*\*) + - 정수 나누기(//) +3. Python 대화형 셸에 문자열을 씁니다. 문자열은 다음과 같습니다: + - 이름 + - 가족 이름 + - 국가 이름 + - I am enjoying 30 days of python +4. 다음 데이터의 데이터 유형을 확인하십시오.: + - 10 + - 9.8 + - 3.14 + - 4 - 4j + - ['Asabeneh', 'Python', 'Finland'] + - 이름 + - 가족 이름 + - 국가 이름 + +### Exercise: Level 2 + +1. 30DaysOfPython 폴더 안에 day_1이라는 폴더를 만듭니다. day_1 폴더 안에 python 파일 helloworld.py를 만들고 질문 1, 2, 3, 4를 반복하세요. Python 파일에서 작업할 때 _print()_를 사용하는 것을 잊지 마세요. 파일을 저장한 디렉토리로 이동하여 실행합니다. + +### Exercise: Level 3 + +1. Number(Integer, Float, Complex), String, Boolean, List, Tuple, Set 및 Dictionary와 같은 다양한 Python 데이터 유형에 대한 예제를 작성합니다. +2. 참고 [Euclidean distance](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance.) (2, 3) 과 (10, 8) 사이 + +🎉 축하합니다 ! 🎉 + +[Day 2 >>](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) diff --git a/Portuguese/02_Dia_Variaveis_BuiltIn_Functions/README.md b/Portuguese/02_Dia_Variaveis_BuiltIn_Functions/README.md new file mode 100644 index 000000000..93aa7a8a7 --- /dev/null +++ b/Portuguese/02_Dia_Variaveis_BuiltIn_Functions/README.md @@ -0,0 +1,300 @@ +
    +

    30 Dias de Python: Dia 2 - Variaveis, Builtin Functions

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + Segunda edição: July, 2021 +     + +
    + +[<< Dia 1](../README.md) | [Dia 3 >>](../03_Day_Operators/03_operators.md) + +![30DiasDePython](../.././images/30DaysOfPython_banner3@2x.png) + +- [📘 Dia 2](#-dia-2) + - [Built in functions](#built-in-functions) + - [Variaveis](#Variaveis) + - [Declarando múltiplas váriaveis em uma linha](#Declarando-múltiplas-variaveis-em-uma-linha) + - [Tipos de dados](#Tipos-de-Dados) + - [Checando tipos de dados e type Casting](#Checando-tipos-de-dados-e-Casting) + - [Numeros](#Numeros) + - [💻 Exercicios - Dia 2](#-Exercicios---Dia-2) + - [Exercicios: Level 1](#Exercicios-level-1) + - [Exercicios: Level 2](#Exercicios-level-2) + +# 📘 Dia 2 + +## Built in functions + +Em Python, temos muitas built-in functions. As built-in functions estão disponíveis globalmente para seu uso, o que significa que você pode fazer uso das built-in functions sem importar ou configurar. Algumas das built-in functions do Python mais usadas são as seguintes: _print()_, _len()_, _type()_, _int()_, _float()_, _str()_, _input()_, _list()_, _dict()_, _min()_, _max()_, _sum()_, _sorted()_, _open()_, _file()_, _help()_ e _dir()_ . Na tabela a seguir, você verá uma lista gigantesca de funções do Python retiradas da [documentação do python](https://docs.python.org/3.9/library/functions.html). +![Built-in Functions](../.././images/builtin-functions.png) + +Vamos abrir o shell do Python e começar a usar algumas built-in functions. + +![Built-in functions](../.././images/builtin-functions_practice.png) + +Vamos praticar mais usando diferentes built-in functions + +![Help and Dir Built in Functions](../.././images/help_and_dir_builtin.png) + +Como você pode ver no terminal acima, O Python possui palavras reservadas. Não usamos palavras reservadas para declarar variáveis ​​ou funções. Abordaremos as variáveis ​​na próxima seção. + +Acredito que agora você já esteja familiarizado com as built-in functions. Vamos fazer mais uma prática de built-in functions e passaremos para a próxima seção. + +![Min Max Sum](../.././images/builtin-functional-final.png) + +## Variaveis + +As variáveis ​​armazenam dados na memória do computador. Variáveis ​​mnemônicas são recomendadas para uso em muitas linguagens de programação. Uma variável mnemônica é um nome de variável que pode ser facilmente lembrado e associado. Uma variável refere-se a um endereço de memória no qual os dados são armazenados. +Número no início, caractere especial e hífen não são permitidos ao nomear uma variável. Uma variável pode ter um nome curto (como x, y, z), mas um nome mais descritivo tipo (nome, sobrenome, idade, país) é altamente recomendado. + +Regras da nomeclatura de variáveis no ​​​​Python + +- O nome de uma variável deve começar com uma letra ou underline +- O nome de uma variável não pode começar com um número +- Um nome de variável só pode conter caracteres alfanuméricos e underlines (A-z, 0-9 e \_ ) +- O interpretador Python ​​diferencia maiúsculas de minúsculas (nome, nome, nome e PRIMEIRO NOME) são variáveis ​​diferentes) então tome cuidado com isso. + +Aqui estão alguns exemplos de nomes de variáveis ​​válidos: + +```shell +firstname +lastname +age +country +city +first_name +last_name +capital_city +_if # if we want to use reserved word as a variable +year_2021 +year2021 +current_year_2021 +birth_year +num1 +num2 +``` + +Nomes invalidos de variaveis + +```shell +first-name +first@name +first$name +num-1 +1num +``` + +Usaremos o estilo de nomenclatura de variáveis ​​Python padrão que foi adotado por muitos desenvolvedores Python. Os desenvolvedores Python usam a convenção de nomenclatura de variáveis ​​​​snake case (snake_case). Usamos underline após cada palavra para uma variável contendo mais de uma palavra (por exemplo, primeiro_nome, sobrenome, velocidade_de_rotação_do_motor). O exemplo abaixo é um exemplo de nomenclatura padrão de variáveis, o underline é necessário quando o nome da variável tem mais de uma palavra (isso é uma boa prática). + +Quando atribuímos um determinado tipo de dado a uma variável, isso é chamado de declaração de variável. Por exemplo, no exemplo abaixo, meu primeiro nome é atribuído a uma variável first_name. O sinal de igual é um operador de atribuição. Atribuir significa armazenar dados na variável (dar um valor a uma variavel). O sinal de igual em Python não é igualdade como em Matemática. + +_Exemplo:_ + +```py +# Variables in Python +first_name = 'Asabeneh' +last_name = 'Yetayeh' +country = 'Finland' +city = 'Helsinki' +age = 250 +is_married = True +skills = ['HTML', 'CSS', 'JS', 'React', 'Python'] +person_info = { + 'firstname':'Asabeneh', + 'lastname':'Yetayeh', + 'country':'Finland', + 'city':'Helsinki' + } +``` + +Vamos usar as funções _print()_ e _len()_. A função de impressão aceita um número ilimitado de argumentos. Um argumento é um valor que podemos passar ou colocar entre parênteses, veja o exemplo abaixo. + +**Exemplo:** + +```py +print('Hello, World!') # The text Hello, World! is an argument +print('Hello',',', 'World','!') # it can take multiple arguments, four arguments have been passed +print(len('Hello, World!')) # it takes only one argument +``` + +Vamos imprimir e também encontrar o comprimento das variáveis ​​declaradas no topo: + +**Exemplo:** + +```py +# Printing the values stored in the variables + +print('First name:', first_name) +print('First name length:', len(first_name)) +print('Last name: ', last_name) +print('Last name length: ', len(last_name)) +print('Country: ', country) +print('City: ', city) +print('Age: ', age) +print('Married: ', is_married) +print('Skills: ', skills) +print('Person information: ', person_info) +``` + +### Declarando múltiplas variaveis em uma linha + +Múltiplas variáveis ​​também podem ser declaradas em uma linha: + +**Exemplo:** + +```py +first_name, last_name, country, age, is_married = 'Asabeneh', 'Yetayeh', 'Helsink', 250, True + +print(first_name, last_name, country, age, is_married) +print('First name:', first_name) +print('Last name: ', last_name) +print('Country: ', country) +print('Age: ', age) +print('Married: ', is_married) +``` + +Podemos obter a entrada do usuário usando a função _input()_. Vamos atribuir os dados que obtemos de um usuário às variáveis ​​first_name e age. + +**Exemplo:** + +```py +first_name = input('What is your name: ') +age = input('How old are you? ') + +print(first_name) +print(age) +``` + +## Tipos de Dados + +Existem vários tipos de dados no Python. Para identificar o tipo de dados, usamos a função _type_. Gostaria de pedir que você se concentrasse em compreender muito bem os diferentes tipos de dados. Quando se trata de programação, tudo se resume a tipos de dados. Introduzi os tipos de dados logo no início e depois veremos de novo, porque cada tópico está relacionado aos tipos de dados. Abordaremos os tipos de dados com mais detalhes em suas respectivas seções. + +## Checando tipos de dados e Casting + +- Checando tipos de dados: Para verificar o tipo de dados de determinados dados/variáveis, usamos o _type_ + **Exemplo:** + +```py +# Different python data types +# Let's declare variables with various data types + +first_name = 'Asabeneh' # str +last_name = 'Yetayeh' # str +country = 'Finland' # str +city= 'Helsinki' # str +age = 250 # int, it is not my real age, don't worry about it + +# Printing out types +print(type('Asabeneh')) # str +print(type(first_name)) # str +print(type(10)) # int +print(type(3.14)) # float +print(type(1 + 1j)) # complex +print(type(True)) # bool +print(type([1, 2, 3, 4])) # list +print(type({'name':'Asabeneh','age':250, 'is_married':250})) # dict +print(type((1,2))) # tuple +print(type(zip([1,2],[3,4]))) # set +``` + +- Type Casting: Podemos converter um tipo de dado em outro tipo de dado. Nós podemos usar esses tipos para fazer o casting _int()_, _float()_, _str()_, _list_, _set_ + Quando fazemos operações aritméticas, os números das strings devem ser primeiro convertidos para int ou float, caso contrário, retornará um erro. Se concatenarmos um número com uma string, o número deverá primeiro ser convertido em uma string. Falaremos sobre concatenação na seção String. + + **Exemplo:** + +```py +# int to float +num_int = 10 +print('num_int',num_int) # 10 +num_float = float(num_int) +print('num_float:', num_float) # 10.0 + +# float to int +gravity = 9.81 +print(int(gravity)) # 9 + +# int to str +num_int = 10 +print(num_int) # 10 +num_str = str(num_int) +print(num_str) # '10' + +# str to int or float +num_str = '10.6' +print('num_int', int(num_str)) # 10 +print('num_float', float(num_str)) # 10.6 + +# str to list +first_name = 'Asabeneh' +print(first_name) # 'Asabeneh' +first_name_to_list = list(first_name) +print(first_name_to_list) # ['A', 's', 'a', 'b', 'e', 'n', 'e', 'h'] +``` + +## Numeros + +Numeros e tipos de dados em python: + +1. Inteiros: Inteiros são considerados os(negativos, zero números positivos) + Exemplo: + ... -3, -2, -1, 0, 1, 2, 3 ... + +2. Float(Números Decimais) + Exemplo: + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... + +3. Números Complexos + Exemplo: + 1 + j, 2 + 4j, 1 - 1j + +🌕 Você é incrível. Você acabou de completar os desafios do dia 2 e está dois passos à frente no caminho para a grandeza. Agora faça alguns exercícios para o cérebro e os músculos. + +## 💻 Exercicios - Dia 2 + +### Exercicios: Level 1 + +1. Dentro de 30DiasDePython crie uma pasta chamada dia_2. Dentro desta pasta crie um arquivo chamado variáveis.py +2. Escreva um comentário em python dizendo: 'Dia 2/30 dias de programação em python' +3. Declare uma variável de primeiro nome e atribua um valor a ela +4. Declare uma variavel de sobrenome e atribua um valor a ela +5. Declare uma variavel de nome completo e atribua um valor a ela +6. Declare uma variavel do seu país e atribua um valor a ela +7. Declare uma variavel da sua cidade e atribua um valor a ela +8. Declare uma variavel da sua idade e atribua um valor a ela +9. Declare uma variavel ano e atribua um valor a ela +10. Declare uma variavel is_married e atribua um valor a ela +11. Declare uma variavel is_true e atribua um valor a ela +12. Declare uma variavel is_light_on e atribua um valor a ela +13. Declare multiplas variaveis em uma linha + +### Exercicios: Level 2 + +1. Verifique o tipo de dados de todas as suas variáveis ​​usando a função integrada type() +1. Usando a função integrada _len()_, encontre o comprimento do seu primeiro nome +1. Compare o comprimento do seu nome e do seu sobrenome +1. Declare 5 como num_one e 4 como num_two + 1. Adicione num_one e num_two e atribua o valor a uma variável total + 2. Subtraia num_two de num_one e atribua o valor a uma variável diff + 3. Multiplique num_two e num_one e atribua o valor a um produto variável + 4. Divida num_one por num_two e atribua o valor a uma divisão variável + 5. Use a divisão de módulo para encontrar num_dois dividido por num_um e atribua o valor a uma variável restante + 6. Calcule num_one elevado a num_two e atribua o valor a uma variável exp + 7. Encontre a divisão mínima de num_one por num_two e atribua o valor a uma variável floor_division +2. O raio de um círculo é de 30 metros. + 1. Calcule a área de um círculo e atribua o valor a um nome de variável de _area_of_circle_ + 2. Calcule a circunferência de um círculo e atribua o valor a um nome de variável _circum_of_circle_ + 3. Pegue o raio como entrada do usuário e calcule a área. +1. Use a função de entrada integrada para obter nome, sobrenome, país e idade de um usuário e armazenar o valor em seus nomes de variáveis ​​correspondentes +1. Execute help('keywords') no Python shell ou em seu arquivo para verificar as palavras ou palavras-chave reservadas do Python + +🎉 PARABÉNS ! 🎉 + +[<< Day 1](../README.md) | [Day 3 >>](../03_Day_Operators/03_operators.md) diff --git a/Portuguese/README.md b/Portuguese/README.md new file mode 100644 index 000000000..1e0b51398 --- /dev/null +++ b/Portuguese/README.md @@ -0,0 +1,456 @@ +# 🐍 30 Dias de python + +|# Day | Topics | +|------|:---------------------------------------------------------:| +| 01 | [Introdução](./readme.md)| +| 02 | [Variaveis, Built-in Functions](./02_Dia_Variaveis_BuiltIn_Functions/README.md)| +| 03 | [Operadores](./03_Day_Operators/03_operators.md)| +| 04 | [Strings](./04_Day_Strings/04_strings.md)| +| 05 | [Listas](./05_Day_Lists/05_lists.md)| +| 06 | [Tuplas](./06_Day_Tuples/06_tuples.md)| +| 07 | [Conjuntos](./07_Day_Sets/07_sets.md)| +| 08 | [Dicionários](./08_Day_Dictionaries/08_dictionaries.md)| +| 09 | [Condicionais](./09_Day_Conditionals/09_conditionals.md)| +| 10 | [Loops](./10_Day_Loops/10_loops.md)| +| 11 | [Funções](./11_Day_Functions/11_functions.md)| +| 12 | [Modulos](./12_Day_Modules/12_modules.md)| +| 13 | [Compreensão de Listas](./13_Day_List_comprehension/13_list_comprehension.md)| +| 14 | [Higher Order Functions](./14_Day_Higher_order_functions/14_higher_order_functions.md)| +| 15 | [Tripos de Erros](./15_Day_Python_type_errors/15_python_type_errors.md)| +| 16 | [Python Date time](./16_Day_Python_date_time/16_python_datetime.md) | +| 17 | [Manipulação de Excessão](./17_Day_Exception_handling/17_exception_handling.md)| +| 18 | [Regex (Expressões Regulares)](./18_Day_Regular_expressions/18_regular_expressions.md)| +| 19 | [Manipulação De Arquivos](./19_Day_File_handling/19_file_handling.md)| +| 20 | [Gerenciador De Pacotes](./20_Day_Python_package_manager/20_python_package_manager.md)| +| 21 | [Classes e Objetos](./21_Day_Classes_and_objects/21_classes_and_objects.md)| +| 22 | [Web Scraping](./22_Day_Web_scraping/22_web_scraping.md)| +| 23 | [Ambiente Virtual](./23_Day_Virtual_environment/23_virtual_environment.md)| +| 24 | [Estatisticas](./24_Day_Statistics/24_statistics.md)| +| 25 | [Pandas](./25_Day_Pandas/25_pandas.md)| +| 26 | [Python web](./26_Day_Python_web/26_python_web.md)| +| 27 | [Python com MongoDB](./27_Day_Python_with_mongodb/27_python_with_mongodb.md)| +| 28 | [API](./28_Day_API/28_API.md)| +| 29 | [Construindo API's](./29_Day_Building_API/29_building_API.md)| +| 30 | [Conclusão](./30_Day_Conclusions/30_conclusions.md)| + +🧡🧡🧡 CODANDO FELIZ 🧡🧡🧡 + +
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    30 Dias De Python: Dia 1 - Introdução

    + + + + + Twitter Follow + + + Autor: + Asabeneh Yetayeh
    + Segunda Edição: July, 2021 +     +
    + +[Dia 2 >>](./02_Dia_Variaveis_BuiltIn_Functions/README.md) + +![30DaysOfPython](.././images/30DaysOfPython_banner3@2x.png) + +- [🐍 30 Dias de python](#-30-dias-de-python) +- [📘 Dia 1](#-dia-1) + - [Bem Vindo!](#bem-vindo) + - [Introdução](#introdução) + - [Por quê Python?](#por-quê-python) + - [Setup do ambiente](#setup-do-ambiente) + - [Instalando o Python](#instalando-o-python) + - [Python Shell](#python-shell) + - [Instalando o Visual Studio Code](#instalando-o-visual-studio-code) + - [Como usar o Visual Studio Code](#como-usar-o-visual-studio-code) + - [Basico de Python](#basico-de-python) + - [Sintaxe do Python](#sintaxe-do-python) + - [Identação do Python](#identação-do-python) + - [Comentários](#comentários) + - [Tipos de dados](#tipos-de-dados) + - [Números](#números) + - [Strings](#strings) + - [Booleanos](#booleanos) + - [Listas](#listas) + - [Dicionário](#dicionário) + - [Tupla](#tupla) + - [Set](#set) + - [Checando Tipos de Dados](#checando-tipos-de-dados) + - [Arquivo Python](#arquivo-python) + - [💻 Exercicios - Dia 1](#-exercicios---dia-1) + - [Exercicio: Level 1](#exercicio-level-1) + - [Exercicio: Level 2](#exercicio-level-2) + - [Exercicio: Level 3](#exercicio-level-3) + +# 📘 Dia 1 + +## Bem Vindo! + +**Parabéns** por decidir participar do desafio de programação _30 dias de Python_ . E nesse desafio você vai aprender tudo o que você precisa para se tornar um programador python e todo o conceito de programação. No final do desafio você receberá o certificado do desafio de programação _30DiasDePython_. + +Se você quiser se envolver ativamente no desafio, você pode se juntar ao grupo do telegram [30DaysOfPython challenge](https://t.me/ThirtyDaysOfPython). + +## Introdução + +Python é uma linguagem de programação de alto nível para programação de uso geral. É uma linguagem de programação de código aberto, interpretada e orientada a objetos. Python foi criado por um programador holandês, Guido van Rossum. O nome da linguagem de programação Python foi derivado de uma série de comédia britânica, _Monty Python's Flying Circus_. A primeira versão foi lançada em 20 de fevereiro de 1991. Este desafio de 30 dias de Python irá ajudá-lo a aprender a versão mais recente do Python, Python 3, passo a passo. Os tópicos são divididos em 30 dias, onde cada dia contém diversos tópicos com explicações fáceis de entender, exemplos do mundo real, muitos exercícios práticos e projetos. + +Este desafio foi desenvolvido para iniciantes e profissionais que desejam aprender a linguagem de programação python. Pode levar de 30 a 100 dias para completar o desafio, as pessoas que participam ativamente do grupo de telegramas têm grande probabilidade de completar o desafio. + +Este desafio é fácil de ler, escrito originalmente em inglês coloquial e traduzido para um português, envolvente, motivador e ao mesmo tempo muito exigente. Você precisa destinar muito tempo para terminar este desafio. Se você é um dos que aprendem melhor vendo, você pode assistir às vídeo-aulas em +Canal do Youtube do Washera Você pode começar pelo [Video de Python para iniciantes absolutos](https://youtu.be/OCCWZheOesI). Se inscreva no canal, comente suas dúvidas nos vídeos do YouTube e seja proativo, o autor eventualmente notará você. + +O autor gosta de ouvir sua opinião sobre o desafio, compartilhe o artigo do autor dando um feedback com sua opinião sobre o desafio 30DiasDePython. E você pode deixar seu feedback sobre o artigo em: [link](https://www.asabeneh.com/testimonials) + +## Por quê Python? + +É uma linguagem de programação muito próxima da linguagem humana, com uma sintaxe simples! e por isso fácil de aprender e usar. +Python é usado por vários setores e empresas (incluindo o Google). Ele tem sido usado para desenvolver aplicações web, aplicativos de desktop, administração de sistemas e bibliotecas de machine learning. Python é uma linguagem altamente adotada na comunidade de data science e machine learning. Espero que isso seja suficiente para convencê-lo a começar a aprender Python. + +## Setup do ambiente + +### Instalando o Python +Para executar um script escrito em Python, você precisa instalar o Python. Vamos para a página [download](https://www.python.org/) python. +Se você for um usuario de windows. Clique no botão circulado em vermelho. + +[![instalando no Windows](.././images/installing_on_windows.png)](https://www.python.org/) + +Se você for um usuário de MacOs. Clique no botão circulado em vermelho. + +[![instalando no MacOs](.././images/installing_on_macOS.png)](https://www.python.org/) + +Para verificar se o python está instalado, digite o seguinte comando no terminal do seu dispositivo. +```shell +python --version +``` + +![Versão do Python](.././images/python_versio.png) + +Como você pode ver no terminal, estou usando a versão _Python 3.7.5_ no momento. Sua versão do Python pode ser diferente da minha, mas deve ser 3.6 ou superior. Se você conseguir ver a versão python, muito bem. Python foi instalado em sua máquina. Continue para a próxima seção. + +### Python Shell + +Python é uma linguagem de script interpretada, portanto não precisa ser compilada. Isso significa que executa o código linha por linha. O Python vem com um _Python Shell (Shell Interativo do Python)_, também conhecido como REPL (Read Eval Print Loop). E é usado para executar um único comando python e obter o resultado. + +O Python Shell aguarda o código Python do usuário. Ao inserir o código, ele o interpreta e mostra o resultado na próxima linha. +Abra seu terminal ou prompt de comando (cmd) e escreva: + +```shell +python +``` + +![Python Scripting Shell](.././images/opening_python_shell.png) + +O shell interativo do Python é aberto e aguarda que você escreva o código em Python (script Python). E você escreverá seu script Python próximo a este símbolo >>> e clique em Enter. +Vamos escrever nosso primeiro scripts no shell de script Python. + +![Python script on Python shell](.././images/adding_on_python_shell.png) + +Muito bem, você escreveu seu primeiro script Python no shell interativo Python. Como fechamos o shell interativo do Python? +Para fechar o shell, próximo a este símbolo >> escreva o comando **exit()** e pressione Enter. + +![Exit from python shell](.././images/exit_from_shell.png) + +Agora você sabe como abrir o shell interativo do Python e como sair dele. + +Python fornecerá resultados se você escrever scripts que Python entenda; caso contrário, retornará erros. Vamos cometer um erro proposital e ver o que o Python retornará. + +![Invalid Syntax Error](.././images/invalid_syntax_error.png) + +Como você pode ver no erro retornado, Python é tão inteligente que sabe o erro que cometemos e que foi _Syntax Error: Invalid Syntax_. Usar x como multiplicação em Python é um erro de sintaxe porque (x) não é uma sintaxe válida em Python. Em vez de (**x**) usamos asterisco (*) para multiplicação. O erro retornado mostra claramente o que corrigir. + +O processo de identificação e remoção de erros de um programa é chamado de _depuração_. Vamos depurá-lo colocando * no lugar de **x**. + +![Fixing Syntax Error](.././images/fixing_syntax_error.png) + +Nosso bug foi corrigido, o código foi executado e obtivemos o resultado que esperávamos. Como programador, você verá esse tipo de erro diariamente. É bom saber como depurar. Para ser bom em depuração, você deve entender que tipo de erros está enfrentando. Alguns dos erros do Python que você pode encontrar são _SyntaxError_, _IndexError_, _NameError_, _ModuleNotFoundError_, _KeyError_, _ImportError_, _AttributeError_, _TypeError_, _ValueError_, _ZeroDivisionError_ etc. Veremos mais sobre diferentes tipos de erros no Python mais tarde, em outras seções! + +Vamos praticar mais como usar o shell interativo Python. Vá para o seu terminal ou prompt de comando e escreva a palavra **python**. + +![Python Scripting Shell](.././images/opening_python_shell.png) + +O shell interativo do Python é aberto. Vamos fazer algumas operações matemáticas básicas (adição, subtração, multiplicação, divisão, módulo, exponencial). + +Vamos fazer algumas contas antes de escrever qualquer código Python: + +- 2 + 3 is 5 +- 3 - 2 is 1 +- 3 \* 2 is 6 +- 3 / 2 is 1.5 +- 3 ** 2 is the same as 3 * 3 + +Em python temos as seguintes operações adicionais: + +- 3 % 2 = 1 => que significa encontrar o resto ou (módulo da divisão) +- 3 // 2 = 1 => que significa remover o resto da divisão + +Vamos mudar as expressões matemáticas acima para código Python. O shell Python foi aberto e vamos escrever um comentário logo no início do shell. + +Um _comentário_ é uma parte do código que não é executada por python o comentário é ignorado pelo interpretador Python. Portanto, podemos deixar algum texto em nosso código para torná-lo mais legível. Python não executa a parte de comentários. Um comentário em python começa com o símbolo hash(#). +É assim que você escreve um comentário em python: + +```shell + # comment starts with hash + # this is a python comment, because it starts with a (#) symbol +``` + +![Maths on python shell](.././images/maths_on_python_shell.png) + +Antes de passarmos para a próxima seção, vamos praticar mais no shell interativo do Python. Feche o shell aberto escrevendo _exit()_ no shell e abra-o novamente e vamos praticar como escrever um texto no shell Python. + +![Writing String on python shell](.././images/writing_string_on_shell.png) + +### Instalando o Visual Studio Code + +O shell interativo Python é bom para testar pequenos códigos de script, mas não será para um grande projeto. No ambiente de trabalho real, os desenvolvedores usam diferentes editores de código para escrever códigos. Neste desafio de programação de 30 dias De Python usaremos código do visual studio. O Visual Studio Code é um editor de texto de código aberto muito popular. Sou fã do vscode e recomendo [download](https://code.visualstudio.com/) visual studio code, mas se você é a adépito a outros editores, fique à vontade para seguir com o que tiver. + +[![Visual Studio Code](.././images/vscode.png)](https://code.visualstudio.com/) + +Se você instalou o Visual Studio Code, vamos ver como usá-lo. +Se preferir um vídeo, você pode seguir este tutorial da instalação e configuração do Visual Studio Code para Python [Video tutorial](https://www.youtube.com/watch?v=bn7Cx4z-vSo) + +#### Como usar o Visual Studio Code + +Abra o visual studio code clicando duas vezes no ícone do visual studio. Ao abri-lo, você obterá esse tipo de interface. Tente interagir com os ícones rotulados. + +![Visual studio Code](.././images/vscode_ui.png) + +Crie uma pasta chamada 30DiasDePython no seu desktop. Em seguida, abra-a usando o visual studio code. + +![Opening Project on Visual studio](.././images/how_to_open_project_on_vscode.png) + +![Opening a project](.././images/opening_project.png) + +Após abri-lo você verá atalhos para criação de arquivos e pastas dentro do diretório do projeto 30DiasDePython. Como você pode ver abaixo, criei o primeiro arquivo, helloworld.py. Você pode fazer o mesmo. + +![Creating a python file](.././images/helloworld.png) + +Depois de um longo dia codando, você deseja fechar seu editor de código fonte, certo? É assim que você fechará o projeto aberto. + +![Closing project](.././images/closing_opened_project.png) + +Parabéns, você concluiu a configuração do ambiente de desenvolvimento. Vamos começar a codar. + +## Basico de Python + +### Sintaxe do Python + +Um script Python pode ser escrito no shell interativo Python ou no editor de código. Um arquivo Python possui uma extensão .py. + +### Identação do Python + +Uma identação é um espaço em branco em um texto. A identação em muitas linguagens é usada para aumentar a legibilidade do código, mas o Python usa a identação para criar blocos de códigos. Em outras linguagens de programação, chaves são usadas para criar blocos de códigos em vez de a identação. Um dos bugs comuns ao escrever código um python é o erro de identação. + +![Indentation Error](.././images/indentation.png) + +### Comentários + +Os comentários são muito importantes para tornar o código mais legível e para deixar comentários em nosso código. Python não executa partes de comentários do nosso código. +Qualquer texto que comece com hash(#) em Python é um comentário. + +**Exemplo: de um comentário de uma linha** + +```shell + # This is the first comment + # This is the second comment + # Python is eating the world +``` + +**Exemplo: de um Comentário de multiplas linhas conhecido como docstring** + +Aspas triplas podem ser usadas para comentários de múltiplas linhas se não estiverem atribuídas a uma variável + +```shell +"""This is multiline comment +multiline comment takes multiple lines. +python is eating the world +""" +``` + +### Tipos de dados + +Em Python existem vários tipos de dados. Vamos começar com os mais comuns. Diferentes tipos de dados serão abordados em detalhes em outras seções. Por enquanto, vamos examinar os diferentes tipos de dados e nos familiarizar com eles. Você não precisa ter um entendimento claro agora. + +#### Números + +- Inteiro: É considerado Inteiro(números negativos, zero e positivos) + Exemplo: + ... -3, -2, -1, 0, 1, 2, 3 ... +- Float: Números decimais + Exemplo: + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... +- Complexos + Exemplo: + 1 + j, 2 + 4j + +#### Strings + +Uma coleção de um ou mais caracteres entre aspas simples ou duplas são considerados strings. Se uma string tiver mais de uma frase, usamos aspas triplas. + +**Exemplo:** + +```py +'Asabeneh' +'Finland' +'Python' +'I love teaching' +'I hope you are enjoying the first day of 30DaysOfPython Challenge' +``` + +#### Booleanos + +Um tipo de dado booleano é um valor True ou False. T e F devem estar sempre maiúsculos. + +**Exemplo:** + +```python + True # Is the light on? If it is on, then the value is True + False # Is the light on? If it is off, then the value is False +``` + +#### Listas + +A lista em Python é uma coleção ordenada que permite armazenar itens de diferentes tipos de dados. Uma lista é semelhante a um array em JavaScript. + +**Exemplo:** + +```py +[0, 1, 2, 3, 4, 5] # all are the same data types - a list of numbers +['Banana', 'Orange', 'Mango', 'Avocado'] # all the same data types - a list of strings (fruits) +['Finland','Estonia', 'Sweden','Norway'] # all the same data types - a list of strings (countries) +['Banana', 10, False, 9.81] # different data types in the list - string, integer, boolean and float +``` + +#### Dicionário + +Um objeto de dicionário Python é uma coleção não ordenada de dados em um formato de par de valores-chave. + +**Exemplo:** + +```py +{ +'first_name':'Asabeneh', +'last_name':'Yetayeh', +'country':'Finland', +'age':250, +'is_married':True, +'skills':['JS', 'React', 'Node', 'Python'] +} +``` + +#### Tupla + +Uma tupla é uma coleção ordenada de diferentes tipos de dados, como uma lista, mas as tuplas não podem ser modificadas (são imutáveis) depois de criadas. Eles são imutáveis. + +**Exemplo:** + +```py +('Asabeneh', 'Pawel', 'Brook', 'Abraham', 'Lidiya') # Names +``` + +```py +('Earth', 'Jupiter', 'Neptune', 'Mars', 'Venus', 'Saturn', 'Uranus', 'Mercury') # planets +``` + +#### Set + +O set é uma coleção de tipos de dados semelhantes a uma lista e uma tupla. Ao contrário da lista e da tupla, set não é uma coleção ordenada de itens. Como na matemática, o conjunto em Python armazena apenas itens exclusivos. + +Nas seções posteriores, entraremos em detalhes sobre cada tipo de dados Python. + +**Exemplo:** + +```py +{2, 4, 3, 5} +{3.14, 9.81, 2.7} # order is not important in set +``` + +### Checando Tipos de Dados + +Para checar um determinado tipo de dado dados/variáveis, usamos a função **type**. No terminal a seguir você verá diferentes tipos de dados python: + +![Checking Data types](.././images/checking_data_types.png) + +### Arquivo Python + +Primeiro abra a pasta do seu projeto, 30DiasDePython. Se você não tiver essa pasta, crie um nome de pasta chamada 30DiasDePython. Dentro desta pasta, crie um arquivo chamado helloworld.py. Agora, vamos fazer o que fizemos no shell interativo python usando o visual studio code. + +O shell interativo do Python estava imprimindo sem usar **print** mas no visual studio code para ver nosso resultado deveríamos usar uma função integrada _print(). A função interna _print()_ recebe um ou mais argumentos da seguinte maneira _print('arument1', 'argument2', 'argument3')_. Veja os exemplos abaixo. + +**Exemplo:** + +O nome do arquivo é helloworld.py + +```py +# Day 1 - 30DaysOfPython Challenge + +print(2 + 3) # addition(+) +print(3 - 1) # subtraction(-) +print(2 * 3) # multiplication(*) +print(3 / 2) # division(/) +print(3 ** 2) # exponential(**) +print(3 % 2) # modulus(%) +print(3 // 2) # Floor division operator(//) + +# Checking data types +print(type(10)) # Int +print(type(3.14)) # Float +print(type(1 + 3j)) # Complex number +print(type('Asabeneh')) # String +print(type([1, 2, 3])) # List +print(type({'name':'Asabeneh'})) # Dictionary +print(type({9.8, 3.14, 2.7})) # Set +print(type((9.8, 3.14, 2.7))) # Tuple +``` + +Para executar o arquivo python verifique a imagem abaixo. Você pode executar o arquivo python executando o botão verde em Visual Studio Code ou digitando _python helloworld.py_ no seu terminal. + +![Running python script](.././images/running_python_script.png) + +🌕 Você é incrível. Você acabou de completar o desafio do primeiro dia e está a caminho da grandeza. Agora faça alguns exercícios para o cérebro e os músculos. + +## 💻 Exercicios - Dia 1 + +### Exercicio: Level 1 + +1. Cheque a versão do python que você esta usando +2. Abra o shell interativo python e execute as seguintes operações. Os operandos são 3 e 4. + - adição(+) + - subtração(-) + - multiplicação(\*) + - modulo(%) + - divisão(/) + - exponencial(\*\*) + - Divisão inteira(//) +3. Escreva strings no shell interativo python. As strings são as seguintes: + - Seu nome + - Seu sobrenome + - Seu país + - Eu estou aproveitando o 30 dias de python +4. Verifique os tipos de dados dos seguintes dados: + - 10 + - 9.8 + - 3.14 + - 4 - 4j + - ['Asabeneh', 'Python', 'Finland'] + - Seu nome + - O seu sobrenome + - Seu país + +### Exercicio: Level 2 + +1. Crie uma pasta chamada dia_1 dentro da pasta 30DiasDePython. Dentro da pasta day_1, crie um arquivo python helloworld.py e repita as perguntas 1, 2, 3 e 4. Lembre-se de usar _print()_ quando estiver trabalhando em um arquivo python. Navegue até o diretório onde você salvou seu arquivo e execute-o. + +### Exercicio: Level 3 + +1. Escreva um exemplo para diferentes tipos de dados Python, como Número (Inteiro, Flutuante, Complex), Strings, Booleanos, Listas, Tuplas, Set e Dicionário. +2. Ache a [Distancia Euclidiana](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance.) entre (2, 3) e (10, 8) + +🎉 PARABÉNS ! 🎉 + +[Day 2 >>](./02_Dia_Variaveis_BuiltIn_Functions/README.md) diff --git a/Spanish/01_Day_Introduction/helloworld.py b/Spanish/01_Day_Introduction/helloworld.py new file mode 100644 index 000000000..1539cfcd5 --- /dev/null +++ b/Spanish/01_Day_Introduction/helloworld.py @@ -0,0 +1,22 @@ +# Introducción +# Día 1 - Desafío 30DaysOfPython + +print(2 + 3) # suma(+) +print(3 - 1) # resta(-) +print(2 * 3) # multiplicación(*) +print(3 / 2) # división(/) +print(3 ** 2) # exponencial(**) +print(3 % 2) # módulo(%) +print(3 // 2) # División de piso(//) + +# Comprobando los tipos de datos + +print(type(10)) # Int +print(type(3.14)) # Float +print(type(1 + 3j)) # Complejo +print(type('Asabeneh')) # Cadena +print(type([1, 2, 3])) # Lista +print(type({'name':'Asabeneh'})) # Diccionario +print(type({9.8, 3.14, 2.7})) # Conjunto +print(type((9.8, 3.14, 2.7))) # Tupla + diff --git a/Spanish/02_Day_Variables_builtin_functions/02_variables_builtin_functions.md b/Spanish/02_Day_Variables_builtin_functions/02_variables_builtin_functions.md new file mode 100644 index 000000000..149cc7b43 --- /dev/null +++ b/Spanish/02_Day_Variables_builtin_functions/02_variables_builtin_functions.md @@ -0,0 +1,300 @@ +
    +

    30 Dias de Python: Dia 2 - Variables, Funciones integradas

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + Second Edition: July, 2021 +     + +
    + +[<< Dia 1](../readme.md) | [Dia 3 >>](../03_Day_Operators/03_operators.md) + +![30DaysOfPython](../../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 2](#-día-2) + - [Funciones integradas](#funciones-integradas) + - [Variables](#variables) + - [Declaración de múltiples variables en una línea](#declaración-de-múltiples-variables-en-una-línea) + - [Tipos de datos](#tipos-de-datos) + - [Comprobación de tipos de datos y conversión](#comprobación-de-tipos-de-datos-y-conversión) + - [Números](#números) + - [💻 Ejercicios - Día 2](#💻-ejercicios---día-2) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + +# 📘 Dia 2 + +## Funciones integradas + +En Python tenemos muchas funciones integradas. Las funciones integradas están disponibles globalmente para su uso, lo que significa que puede hacer uso de las funciones integradas sin importarlas ni configurarlas. Algunas de las funciones integradas de Python más utilizadas son las siguientes: _print()_, _len()_, _type()_, _int()_, _float()_, _str()_, _input()_, _list()_, _dict()_, _min()_, _max()_, _sum()_, _sorted()_, _open()_, _file()_, _help()_ y _dir()_ . En la siguiente tabla, verá una lista exhaustiva de las funciones integradas de Python sacadas de la [documentación de Python](https://docs.python.org/3.9/library/functions.html). + +![Funciones integradas](../../images/builtin-functions.png) + +Abramos el shell de Python y comencemos a usar algunas de las funciones integradas más comunes. + +![Funciones integradas](../../images/builtin-functions_practice.png) + +Practiquemos más usando diferentes funciones integradas + +![Funciones integradas de ayuda y directorio](../../images/help_and_dir_builtin.png) + +Como puede ver en la terminal de arriba, Python tiene palabras reservadas. No usamos palabras reservadas para declarar variables o funciones. En la siguiente sección cubriremos las variables. + +Creo que a estas alturas ya está familiarizado con las funciones integradas. Hagamos una práctica más de funciones integradas y pasaremos a la siguiente sección. + +![Suma mín. máx.](../../images/builtin-functional-final.png) + +## Variables + +Las variables almacenan datos en la memoria de una computadora. Se recomienda el uso de variables mnemotécnicas en muchos lenguajes de programación. Una variable mnemotécnica es un nombre de variable que se puede recordar y asociar fácilmente. Una variable se refiere a una dirección de memoria en la que se almacenan los datos. +Número al principio, carácter especial o guión no están permitidos al nombrar una variable. Una variable puede tener un nombre corto (como x, y, z), pero se recomienda enfáticamente un nombre más descriptivo (nombre, apellido, edad, país). + +Reglas de nombres de variables de Python + +- Un nombre de variable debe comenzar con una letra o el carácter de subrayado +- Un nombre de variable no puede comenzar con un número +- Un nombre de variable solo puede contener caracteres alfanuméricos y guiones bajos (A-z, 0-9 y \_) +- Los nombres de las variables distinguen entre mayúsculas y minúsculas (firstname, Firstname, FirstName y FIRSTNAME) son variables diferentes) + +Estos son algunos ejemplos de nombres de variables válidos: + +```shell +firstname +lastname +age +country +city +first_name +last_name +capital_city +_if # si queremos usar palabra reservada como variable +year_2021 +year2021 +current_year_2021 +birth_year +num1 +num2 +``` + +Nombres de variables no válidos + +```shell +first-name +first@name +first$name +num-1 +1num +``` + +Usaremos el estilo estándar de nomenclatura de variables de Python que ha sido adoptado por muchos desarrolladores de Python. Los desarrolladores de Python usan la convención de nomenclatura de variables de caja de serpiente (snake_case). Usamos un carácter de subrayado después de cada palabra para una variable que contiene más de una palabra (p. ej., nombre, apellido, velocidad de rotación del motor). El siguiente ejemplo es un ejemplo de nomenclatura estándar de variables, se requiere guión bajo cuando el nombre de la variable es más de una palabra. + +Cuando asignamos un determinado tipo de datos a una variable, se llama declaración de variable. Por ejemplo, en el siguiente ejemplo, mi nombre se asigna a una variable first_name. El signo igual es un operador de asignación. Asignar significa almacenar datos en la variable. El signo igual en Python no es la igualdad como en Matemáticas. + +_Ejemplo:_ + +```py +# Variables en Python +first_name = 'Asabeneh' +last_name = 'Yetayeh' +country = 'Finland' +city = 'Helsinki' +age = 250 +is_married = True +skills = ['HTML', 'CSS', 'JS', 'React', 'Python'] +person_info = { + 'firstname':'Asabeneh', + 'lastname':'Yetayeh', + 'country':'Finland', + 'city':'Helsinki' + } +``` + +Usemos las funciones integradas _print()_ y _len()_. La función de impresión toma un número ilimitado de argumentos. Un argumento es un valor que se puede pasar o poner dentro del paréntesis de la función, vea el ejemplo a continuación. + +**Ejemplo:** + +```py +print('Hello, World!') # El texto Hola, Mundo! es un argumento +print('Hello',',', 'World','!') # Puede tomar varios argumentos, se han pasado cuatro argumentos +print(len('Hello, World!')) # solo se necesita un argumento +``` + +Imprimamos y también encontremos la longitud de las variables declaradas en la parte superior: + +**Ejemplo:** + +```py +# Imprimiendo los valores almacenados en las variables + +print('First name:', first_name) +print('First name length:', len(first_name)) +print('Last name: ', last_name) +print('Last name length: ', len(last_name)) +print('Country: ', country) +print('City: ', city) +print('Age: ', age) +print('Married: ', is_married) +print('Skills: ', skills) +print('Person information: ', person_info) +``` + +### Declaración de múltiples variables en una línea + +También se pueden declarar múltiples variables en una línea: + +**Ejemplo:** + +```py +first_name, last_name, country, age, is_married = 'Asabeneh', 'Yetayeh', 'Helsink', 250, True + +print(first_name, last_name, country, age, is_married) +print('First name:', first_name) +print('Last name: ', last_name) +print('Country: ', country) +print('Age: ', age) +print('Married: ', is_married) +``` + +Obtener la entrada del usuario usando la función integrada _input()_. Asignemos los datos que obtenemos de un usuario a las variables first_name y age. +**Ejemplo:** + +```py +first_name = input('What is your name: ') +age = input('How old are you? ') + +print(first_name) +print(age) +``` + +## Tipos de datos + +Hay varios tipos de datos en Python. Para identificar el tipo de datos usamos la función incorporada _type_. Me gustaría pedirle que se concentre en comprender muy bien los diferentes tipos de datos. Cuando se trata de programar, todo se trata de tipos de datos. Introduje los tipos de datos desde el principio y viene de nuevo, porque todos los temas están relacionados con los tipos de datos. Cubriremos los tipos de datos con más detalle en sus respectivas secciones. + +## Comprobación de tipos de datos y conversión + +- Verificar tipos de datos: para verificar el tipo de datos de ciertos datos/variables usamos el _type_ + **Ejemplo:** + +```py +# Diferentes tipos de datos en python +# Declaremos variables con varios tipos de datos + +first_name = 'Asabeneh' # str +last_name = 'Yetayeh' # str +country = 'Finland' # str +city= 'Helsinki' # str +age = 250 # int, no es mi edad real, no te preocupes + +# Imprimir tipos +print(type('Asabeneh')) # str +print(type(first_name)) # str +print(type(10)) # int +print(type(3.14)) # float +print(type(1 + 1j)) # complex +print(type(True)) # bool +print(type([1, 2, 3, 4])) # list +print(type({'name':'Asabeneh','age':250, 'is_married':250})) # dict +print(type((1,2))) # tuple +print(type(zip([1,2],[3,4]))) # set +``` + +- Casting: Conversión de un tipo de dato a otro tipo de dato. Usamos _int()_, _float()_, _str()_, _list_, _set_ + Cuando hacemos operaciones aritméticas, los números de cadena deben convertirse primero a int o float; de lo contrario, devolverá un error. Si concatenamos un número con una cadena, el número debe convertirse primero en una cadena. Hablaremos sobre la concatenación en la sección String. + + **Ejemplo:** + +```py +# int a float +num_int = 10 +print('num_int',num_int) # 10 +num_float = float(num_int) +print('num_float:', num_float) # 10.0 + +# float a int +gravity = 9.81 +print(int(gravity)) # 9 + +# int a str +num_int = 10 +print(num_int) # 10 +num_str = str(num_int) +print(num_str) # '10' + +# str a int o float +num_str = '10.6' +print('num_int', int(num_str)) # 10 +print('num_float', float(num_str)) # 10.6 + +# str a list +first_name = 'Asabeneh' +print(first_name) # 'Asabeneh' +first_name_to_list = list(first_name) +print(first_name_to_list) # ['A', 's', 'a', 'b', 'e', 'n', 'e', 'h'] +``` + +## Números + +Tipos de datos numéricos en Python: + +1. Integers: números enteros (negativos, cero y positivos) + Ejemplo: + ... -3, -2, -1, 0, 1, 2, 3... + +2. Floating: números de coma (números decimales) + Ejemplo: + ... -3,5, -2,25, -1,0, 0,0, 1,1, 2,2, 3,5... + +3. Complex: números complejos + Ejemplo: + 1 + j, 2 + 4j, 1 - 1j + +🌕 Eres increíble. Acaba de completar los desafíos del día 2 y está dos pasos por delante en su camino hacia la grandeza. Ahora haz algunos ejercicios para tu cerebro y tus músculos. + +## 💻 Ejercicios - Día 2 + +### Ejercicios: Nivel 1 + +1. Dentro de 30DaysOfPython crea una carpeta llamada day_2. Dentro de esta carpeta crea un archivo llamado variables.py +2. Escriba un comentario de python que diga 'Día 2: 30 días de programación en python' +3. Declarar una variable de nombre y asignarle un valor +4. Declarar una variable de apellido y asignarle un valor +5. Declare una variable de nombre completo y asígnele un valor +6. Declarar una variable de país y asignarle un valor +7. Declarar una variable de ciudad y asignarle un valor +8. Declarar una variable de edad y asignarle un valor +9. Declarar una variable de año y asignarle un valor +10. Declarar una variable is_married y asignarle un valor +11. Declarar una variable is_true y asignarle un valor +12. Declare una variable is_light_on y asígnele un valor +13. Declarar múltiples variables en una línea + +### Ejercicios: Nivel 2 + +1. Verifique el tipo de datos de todas sus variables usando la función incorporada type() +1. Usando la función incorporada _len()_, encuentre la longitud de su nombre +1. Compara la longitud de tu nombre y tu apellido +1. Declarar 5 como num_one y 4 como num_two + 1. Sume num_one y num_two y asigne el valor a un total variable + 2. Reste num_two de num_one y asigne el valor a una variable diff + 3. Multiplique num_two y num_one y asigne el valor a un producto variable + 4. Divide num_one por num_two y asigna el valor a una división variable + 5. Use la división de módulo para encontrar num_two dividido por num_one y asigne el valor a un residuo variable + 6. Calcula num_one a la potencia de num_two y asigna el valor a una variable exp + 7. Encuentra la división de piso de num_one por num_two y asigna el valor a una variable floor_division +1. El radio de un círculo es de 30 metros. + 1. Calcule el área de un círculo y asigne el valor a una variable con el nombre de _area_of_circle_ + 2. Calcule la circunferencia de un círculo y asigne el valor a una variable con el nombre de _circum_of_circle_ + 3. Tome el radio como entrada del usuario y calcule el área. +1. Use la función de entrada integrada para obtener el nombre, el apellido, el país y la edad de un usuario y almacene el valor en sus nombres de variables correspondientes +1. Ejecute la ayuda ('palabras clave') en el shell de Python o en su archivo para verificar las palabras o palabras clave reservadas de Python + +🎉 ¡FELICITACIONES! 🎉 + +[<< Day 1](../readme.md) | [Day 3 >>](../03_Day_Operators/03_operators.md) diff --git a/02_Day_Variables/variables.py b/Spanish/02_Day_Variables_builtin_functions/variables.py similarity index 88% rename from 02_Day_Variables/variables.py rename to Spanish/02_Day_Variables_builtin_functions/variables.py index 78ba0e71e..53729dce9 100644 --- a/02_Day_Variables/variables.py +++ b/Spanish/02_Day_Variables_builtin_functions/variables.py @@ -1,5 +1,5 @@ -# Variables in Python +# Variables en Python first_name = 'Asabeneh' last_name = 'Yetayeh' @@ -15,7 +15,7 @@ 'city':'Helsinki' } -# Printing the values stored in the variables +# Imprimir los valores almacenados en las variables print('First name:', first_name) print('First name length:', len(first_name)) @@ -28,7 +28,7 @@ print('Skills: ', skills) print('Person information: ', person_info) -# Declaring multiple variables in one line +# Declarar múltiples variables en una línea first_name, last_name, country, age, is_married = 'Asabeneh', 'Yetayeh', 'Helsink', 250, True diff --git a/Spanish/02_variables_builtin_functions_sp.md b/Spanish/02_variables_builtin_functions_sp.md new file mode 100644 index 000000000..0aea1e65d --- /dev/null +++ b/Spanish/02_variables_builtin_functions_sp.md @@ -0,0 +1,307 @@ +
    +

    30 días de Python: Día 2 - Variables y funciones integradas

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[<< Día 1](./readme_sp.md) | [Día 3 >>](./03_operators_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +_Lectura aproximada: 12 min_ + +- [📘 Día 2](#-día-2) + - [Funciones integradas](#funciones-integradas) + - [Variables](#variables) + - [Declarar varias variables en una línea](#declarar-varias-variables-en-una-línea) + - [Tipos de datos](#tipos-de-datos) + - [Conversión de tipos de datos](#conversión-de-tipos-de-datos) + - [Números](#números) + - [💻 Ejercicios - Día 2](#-ejercicios---día-2) + - [Ejercicio: Nivel 1](#ejercicio-nivel-1) + - [Ejercicio: Nivel 2](#ejercicio-nivel-2) + +# 📘 Día 2 + +## Funciones integradas + +Python proporciona muchas funciones integradas. Las funciones integradas están disponibles a nivel global, lo que significa que puede usarlas sin importar o configurar nada. A continuación se muestran algunas de las funciones integradas más comunes de Python: _print()_, _len()_, _type()_, _int()_, _float()_, _str()_, _input()_, _list()_, _dict()_, _min()_, _max()_, _sum()_, _sorted()_, _open()_, _file()_, _help()_, _dir()_. En la tabla siguiente verá la lista completa de funciones integradas obtenida de la [documentación de Python](https://docs.python.org/3.9/library/functions.html). + +![Built-in Functions](../images/builtin-functions.png) + +Abramos el intérprete interactivo de Python y comencemos a usar algunas de las funciones integradas más comunes. + +![Built-in functions](../images/builtin-functions_practice.png) + +Practique más usando diferentes funciones integradas + +![Help and Dir Built in Functions](../images/help_and_dir_builtin.png) + +Como se muestra arriba, Python tiene palabras reservadas. No podemos usar palabras reservadas para declarar variables o funciones. Presentaremos las variables en la sección siguiente. + +Confío en que ahora esté familiarizado con las funciones integradas. Practiquemos más con ellas antes de continuar a la siguiente sección. + +![Min Max Sum](../images/builtin-functional-final.png) + +## Variables + +Las variables almacenan datos en la memoria del ordenador. En muchos lenguajes de programación se recomienda usar nombres de variables mnemotécnicos. Un nombre mnemotécnico es un nombre de variable fácil de recordar y asociar. Una variable hace referencia a la dirección de memoria donde se almacena un dato. + +Al nombrar variables, no se permite empezar con un número, usar caracteres especiales ni guiones. Una variable puede tener un nombre corto (por ejemplo x, y, z), pero se recomienda encarecidamente usar nombres más descriptivos (nombre, apellido, edad, país). + +Reglas para nombres de variables en Python + +- El nombre de la variable debe comenzar con una letra o un guion bajo +- El nombre de la variable no puede comenzar con un número +- El nombre de la variable sólo puede contener caracteres alfanuméricos y guiones bajos (A-z, 0-9 y _) +- Los nombres de variables distinguen mayúsculas de minúsculas (firstname, Firstname, FirstName y FIRSTNAME son variables diferentes) + +A continuación algunos ejemplos de nombres válidos: + +```shell +firstname +lastname +age +country +city +first_name +last_name +capital_city + _if # si queremos usar una palabra reservada como variable +year_2021 +year2021 +current_year_2021 +birth_year +num1 +num2 +``` + +Nombres de variables inválidos + +```shell +first-name +first@name +first$name +num-1 +1num +``` +Usaremos la convención de nombres estándar adoptada por muchos desarrolladores de Python. Los desarrolladores de Python usan la convención snake_case. Para variables que contienen varias palabras usamos guiones bajos entre las palabras (por ejemplo first_name, last_name, engine_rotation_speed). El siguiente ejemplo muestra la convención estándar: cuando el nombre de la variable contiene más de una palabra, se deben usar guiones bajos. + +Cuando asignamos un valor a una variable, esto se llama declarar una variable. Por ejemplo, en el siguiente ejemplo mi nombre se asigna a la variable first_name. El signo igual es el operador de asignación. Asignar significa almacenar un dato en una variable. El signo igual en Python no es el mismo que en matemáticas. + +_Ejemplo:_ + +```py +# Variables en Python +first_name = 'Asabeneh' +last_name = 'Yetayeh' +country = 'Finland' +city = 'Helsinki' +age = 250 +is_married = True +skills = ['HTML', 'CSS', 'JS', 'React', 'Python'] +person_info = { + 'firstname':'Asabeneh', + 'lastname':'Yetayeh', + 'country':'Finland', + 'city':'Helsinki' + } +``` + +Usemos las funciones integradas _print()_ y _len()_. La función print puede aceptar un número ilimitado de argumentos. Un argumento es un valor que podemos pasar dentro de los paréntesis de la función; vea el ejemplo a continuación. + +**Ejemplo:** + +```py +print('Hello, World!') # The text Hello, World! is an argument +print('Hello',',', 'World','!') # it can take multiple arguments, four arguments have been passed +print(len('Hello, World!')) # it takes only one argument +``` + +Imprimamos y calculemos la longitud de las variables declaradas arriba： + + +**Ejemplo:** + +```py +# Imprimir valores de las variables + +print('First name:', first_name) +print('First name length:', len(first_name)) +print('Last name: ', last_name) +print('Last name length: ', len(last_name)) +print('Country: ', country) +print('City: ', city) +print('Age: ', age) +print('Married: ', is_married) +print('Skills: ', skills) +print('Person information: ', person_info) +``` + +### Declarar varias variables en una línea + +También se pueden declarar múltiples variables en la misma línea： + +**Ejemplo:** + +```py +first_name, last_name, country, age, is_married = 'Asabeneh', 'Yetayeh', 'Helsink', 250, True + +print(first_name, last_name, country, age, is_married) +print('First name:', first_name) +print('Last name: ', last_name) +print('Country: ', country) +print('Age: ', age) +print('Married: ', is_married) +``` + +Use la función integrada _input()_ para obtener entrada del usuario. Asignemos los datos ingresados por el usuario a las variables first_name y age. +. +**Ejemplo:** + +```py +first_name = input('What is your name: ') +age = input('How old are you? ') + +print(first_name) +print(age) +``` + +## Tipos de datos + +Hay varios tipos de datos en Python. Para identificar el tipo de un dato usamos la función integrada _type_. Le recomiendo dominar los distintos tipos de datos: en programación todo está relacionado con los tipos de datos. Ya introduje los tipos de datos al principio y los vuelvo a mencionar porque cada tema está relacionado con los tipos de datos. Estudiaremos cada tipo con más detalle en capítulos posteriores. + +## Conversión de tipos de datos + +- Comprobar el tipo de dato: Para comprobar el tipo de un dato/variable usamos la función _type_ + + **Ejemplo:** + +```py +# Diferentes tipos de datos en Python +# Declaramos algunas variables con distintos tipos de datos + +first_name = 'Asabeneh' # str +last_name = 'Yetayeh' # str +country = 'Finland' # str +city= 'Helsinki' # str +age = 250 # int, no se preocupe, esta no es mi edad real :) + +# Printing out types +print(type('Asabeneh')) # str +print(type(first_name)) # str +print(type(10)) # int +print(type(3.14)) # float +print(type(1 + 1j)) # complex +print(type(True)) # bool +print(type([1, 2, 3, 4])) # list +print(type({'name':'Asabeneh','age':250, 'is_married':250})) # dict +print(type((1,2))) # tuple +print(type(zip([1,2],[3,4]))) # set +``` + +- Conversión de tipos: convertir un tipo de dato a otro. Usamos _int()_, _float()_, _str()_, _list_, _set_. +Cuando realizamos operaciones aritméticas, las cadenas que contienen números deben convertirse primero a int o float, de lo contrario se producirá un error. Si concatenamos un número y una cadena, hay que convertir primero el número a cadena. Veremos la concatenación en la sección de cadenas. + + + **Ejemplo:** + +```py +# De entero a float +num_int = 10 +print('num_int',num_int) # 10 +num_float = float(num_int) +print('num_float:', num_float) # 10.0 + +# De float a entero +gravity = 9.81 +print(int(gravity)) # 9 + +# De entero a cadena +num_int = 10 +print(num_int) # 10 +num_str = str(num_int) +print(num_str) # '10' + +# De cadena a entero o float +num_str = '10.6' +print('num_int', int(num_str)) # 10 +print('num_float', float(num_str)) # 10.6 + +# De cadena a lista +first_name = 'Asabeneh' +print(first_name) # 'Asabeneh' +first_name_to_list = list(first_name) +print(first_name_to_list) # ['A', 's', 'a', 'b', 'e', 'n', 'e', 'h'] +``` + +## Números + +Diferentes tipos numéricos en Python + +- Integer: números enteros (negativos, 0 y positivos) + Ejemplo: + ... -3, -2, -1, 0, 1, 2, 3 ... +- Float: números de punto flotante + Ejemplo + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... +- Complex: números complejos + Ejemplo + 1 + j, 2 + 4j, 1 - 1j + +🌕 ¡Excelente! Acabas de completar el desafío del Día 2, estás un paso más cerca del éxito. Ahora realiza algunos ejercicios para ejercitar tu mente y tus habilidades. + + +## 💻 Ejercicios - Día 2 + +### Ejercicio: Nivel 1 + +1. Crea una carpeta `day_2` dentro de la carpeta `30DaysOfPython`. Dentro de esa carpeta crea un archivo `variables.py` +2. Añade un comentario: 'Día 2: 30 Days of Python programming' +3. Declara una variable `first_name` y asígnale un valor +4. Declara una variable `last_name` y asígnale un valor +5. Declara una variable `full_name` y asígnale un valor +6. Declara una variable `country` y asígnale un valor +7. Declara una variable `city` y asígnale un valor +8. Declara una variable `age` y asígnale un valor +9. Declara una variable `year` y asígnale un valor +10. Declara una variable `is_married` y asígnale un valor +11. Declara una variable `is_true` y asígnale un valor +12. Declara una variable `is_light_on` y asígnale un valor +13. Declara múltiples variables en una sola línea + +### Ejercicio: Nivel 2 + +1. Usa la función integrada _type()_ para comprobar el tipo de las variables que declaraste +1. Usa la función _len()_ para calcular la longitud de la variable `first_name` +1. Compara la longitud de las variables `first_name` y `last_name` +1. Declara las variables `num_one = 5` y `num_two = 4` + 1. Suma `num_one` y `num_two` y asigna el resultado a la variable `total` + 2. Resta `num_two` de `num_one` y asigna el resultado a la variable `diff` + 3. Multiplica `num_one` y `num_two` y asigna el resultado a la variable `product` + 4. Divide `num_one` entre `num_two` y asigna el resultado a la variable `division` + 5. Usa la operación módulo para obtener el resto de `num_two` dividido por `num_one` y asígnalo a `remainder` + 6. Calcula `num_one` elevado a `num_two` y asigna el valor a `exp` + 7. Calcula la división entera de `num_one` entre `num_two` (operación de floor division) y asigna el resultado a `floor_division` +1. El círculo tiene un radio de 30 metros. + 1. Calcula el área del círculo y asígnala a la variable `_area_of_circle_` + 2. Calcula la circunferencia del círculo y asígnala a la variable `_circum_of_circle_` + 3. Pide el radio al usuario y calcula el área. +1. Usa la función integrada `input()` para obtener nombre, apellido, país y edad del usuario y almacena los valores en las variables correspondientes +1. Ejecuta `help('keywords')` en el intérprete de Python o en un archivo para comprobar las palabras reservadas (keywords) de Python + + + +🎉 ¡Felicidades! 🎉 + +[<< Día 1](./readme_sp.md) | [Día 3 >>](./03_operators_sp.md) \ No newline at end of file diff --git a/Spanish/03_Day_Operators/03_operators.md b/Spanish/03_Day_Operators/03_operators.md new file mode 100644 index 000000000..45641894f --- /dev/null +++ b/Spanish/03_Day_Operators/03_operators.md @@ -0,0 +1,316 @@ +
    +

    30 días de Python: Día 3 - Operadores

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + Second Edition: July, 2021 +     +
    + +[<< Dia 2](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) | [Dia 4 >>](../04_Day_Strings/04_strings.md) + +![30DaysOfPython](../../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 3](#📘-día-3) + - [Booleano](#booleano) + - [Operadores](#operadores) + - [Operadores de asignación](#operadores-de-asignación) + - [Operadores aritméticos:](#operadores-aritméticos) + - [Operadores de comparación](#operadores-de-comparación) + - [Operadores lógicos](#operadores-lógicos) + - [💻 Ejercicios - Día 3](#💻-ejercicios---día-3) + +# 📘 Día 3 + +## Booleano + +Un tipo de datos booleano representa uno de los dos valores: _Verdadero_ o _Falso_. El uso de estos tipos de datos quedará claro una vez que comencemos a usar el operador de comparación. La primera letra **T** para Verdadero y **F** para Falso debe ser en mayúscula a diferencia de JavaScript. +**Ejemplo: valores booleanos** + +```py +print(True) +print(False) +``` + +## Operadores + +Python language supports several types of operators. In this section, we will focus on few of them. + +### Operadores de asignación + +Los operadores de asignación se utilizan para asignar valores a las variables. Tomemos = como ejemplo. El signo igual en matemáticas muestra que dos valores son iguales, sin embargo, en Python significa que estamos almacenando un valor en una determinada variable y lo llamamos asignación o asignación de valor a una variable. La siguiente tabla muestra los diferentes tipos de operadores de asignación de Python, tomados de [w3school](https://www.w3schools.com/python/python_operators.asp). + +![Operadores de Asignación](../../images/assignment_operators.png) + +### Operadores aritméticos: + +- Suma (+): a + b +- Resta(-): a - b +- Multiplicación(*): a * b +- División(/): a/b +- Módulo(%): a % b +- División de piso(//): a // b +- Exponenciación(**): a ** b + +![Arithmetic Operators](../../images/arithmetic_operators.png) + +**Ejemplo: Enteros** + +```py +# Operaciones aritméticas en Python +# enteros + +print('Addition: ', 1 + 2) # 3 +print('Subtraction: ', 2 - 1) # 1 +print('Multiplication: ', 2 * 3) # 6 +print ('Division: ', 4 / 2) # 2.0 La división en Python da un número flotante +print('Division: ', 6 / 2) # 3.0 +print('Division: ', 7 / 2) # 3.5 +print('Division without the remainder: ', 7 // 2) # 3, da sin el número flotante o sin el resto +print ('Division without the remainder: ',7 // 3) # 2 +print('Modulus: ', 3 % 2) # 1, da el resto +print('Exponentiation: ', 2 ** 3) # 9 significa 2 * 2 * 2 +``` + +**Ejemplo: Floats** + +```py +# Números flotantes +print('Floating Point Number, PI', 3.14) +print('Floating Point Number, gravity', 9.81) +``` + +**Ejemplo: Números complex** + +```py +# Números complejos +print('Complex number: ', 1 + 1j) +print('Multiplying complex numbers: ',(1 + 1j) * (1 - 1j)) +``` + +Declaremos una variable y asignemos un tipo de dato numérico. Voy a usar una variable de un solo carácter, pero recuerde que no desarrolle el hábito de declarar este tipo de variables. Los nombres de las variables deben ser siempre mnemotécnicos. + +**Ejemplo:** + +```python +# Declarar la variable en la parte superior primero + +a = 3 # a es un nombre de variable y 3 es un tipo de dato entero +b = 2 # b es un nombre de variable y 3 es un tipo de dato entero + +# Operaciones aritméticas y asignación del resultado a una variable +total = a + b +diff = a - b +product = a * b +division = a / b +remainder = a % b +floor_division = a // b +exponential = a ** b + +# Debería haber usado sum en lugar de total, pero sum es una función integrada; trate de evitar anular las funciones integradas +print(total) # si no etiqueta su impresión con alguna cadena, nunca sabrá de dónde viene el resultado +print('a + b = ', total) +print('a - b = ', diff) +print('a * b = ', product) +print('a / b = ', division) +print('a % b = ', remainder) +print('a // b = ', floor_division) +print('a ** b = ', exponentiation) +``` + +**Ejemplo:** + +```py +print('== Addition, Subtraction, Multiplication, Division, Modulus ==') + +# Declarar valores y organizarlos juntos +num_one = 3 +num_two = 4 + +# Operaciones aritmeticas +total = num_one + num_two +diff = num_two - num_one +product = num_one * num_two +div = num_two / num_one +remainder = num_two % num_one + +# Imprimiendo valores con etiqueta +print('total: ', total) +print('difference: ', diff) +print('product: ', product) +print('division: ', div) +print('remainder: ', remainder) +``` + +Empecemos a conectar los puntos y empecemos a hacer uso de lo que ya sabemos para calcular (área, volumen, densidad, peso, perímetro, distancia, fuerza). + +**Ejemplo:** +```py +# Cálculo del área de un círculo +radius = 10 # radio de un circulo +area_of_circle = 3.14 * radius ** 2 # dos signo * significa exponente o potencia +print('Area of a circle:', area_of_circle) + +# Calcular el área de un rectángulo +length = 10 +width = 20 +area_of_rectangle = length * width +print('Area of rectangle:', area_of_rectangle) + +# Calcular el peso de un objeto +mass = 75 +gravity = 9.81 +weight = mass * gravity +print(weight, 'N') # Agregando unidad al peso + +# Calcular la densidad de un líquido +mass = 75 # en kg +volume = 0.075 # en metros cúbicos +density = mass / volume # 1000 Kg/m^3 + +``` + +### Operadores de comparación + +En programación comparamos valores, usamos operadores de comparación para comparar dos valores. Comprobamos si un valor es mayor o menor o igual a otro valor. La siguiente tabla muestra los operadores de comparación de Python que se tomaron de [w3shool](https://www.w3schools.com/python/python_operators.asp). + +![Operadores de comparación](../../images/comparison_operators.png) +**Ejemplo: Operadores de comparación** + +```py +print(3 > 2) # True, porque 3 es mayor que 2 +print(3 >= 2) # True, porque 3 es mayor que 2 +print(3 < 2) # False, porque 3 es mayor que 2 +print(2 < 3) # True, porque 2 es menor que 3 +print(2 <= 3) # True, porque 2 es menor que 3 +print(3 == 2) # False, porque 3 no es igual a 2 +print(3 != 2) # True, porque 3 no es igual a 2 +print(len('mango') == len('avocado')) # False +print(len('mango') != len('avocado')) # True +print(len('mango') < len('avocado')) # True +print(len('milk') != len('meat')) # False +print(len('milk') == len('meat')) # True +print(len('tomato') == len('potato')) # True +print(len('python') > len('dragon')) # False + + +# Comparar algo da un True o False + +print('True == True: ', True == True) +print('True == False: ', True == False) +print('False == False:', False == False) +``` + +Además del operador de comparación anterior, Python usa: + +- _is_: Devuelve True si ambas variables son el mismo objeto (x es y) +- _is not_: Devuelve True si ambas variables no son el mismo objeto (x no es y) +- _in_: Devuelve True si la lista consultada contiene un elemento determinado (x en y) +- _not in_: Devuelve True si la lista consultada no tiene un elemento determinado (x en y) + +```py +print('1 is 1', 1 is 1) # True - porque los valores de los datos son los mismos +print('1 is not 2', 1 is not 2) # True - porque 1 no es 2 +print('A in Asabeneh', 'A' in 'Asabeneh') # True - A encontrado en la cadena +print('B in Asabeneh', 'B' in 'Asabeneh') # False - no hay b mayúscula +print('coding' in 'coding for all') # True - porque 'coding for all' tiene la palabra 'coding' +print('a in an:', 'a' in 'an') # True +print('4 is 2 ** 2:', 4 is 2 ** 2) # True +``` + +### Operadores lógicos + +A diferencia de otros lenguajes de programación, Python utiliza las palabras clave _and_, _or_ y _not_ para los operadores lógicos. Los operadores lógicos se utilizan para combinar sentencias condicionales: + +![Operadores lógicos](../../images/logical_operators.png) + +```py +print(3 > 2 and 4 > 3) # True - porque ambas afirmaciones son verdaderas +print(3 > 2 and 4 < 3) # False - porque la segunda afirmación es falsa +print(3 < 2 and 4 < 3) # False - porque ambas afirmaciones son falsas +print('True and True: ', True and True) +print(3 > 2 or 4 > 3) # True - porque ambas afirmaciones son verdaderas +print(3 > 2 or 4 < 3) # True - porque una de las afirmaciones es verdadera +print(3 < 2 or 4 < 3) # False - porque ambas afirmaciones son falsas +print('True or False:', True or False) +print(not 3 > 2) # False - porque 3 > 2 es verdadero, entonces no verdadero da falso +print(not True) # False - Negación, el operador not devuelve verdadero a falso +print(not False) # True +print(not not True) # True +print(not not False) # False + +``` + +🌕 Tienes una energía ilimitada. Acaba de completar los desafíos del día 3 y está tres pasos por delante en su camino hacia la grandeza. Ahora haz algunos ejercicios para tu cerebro y tus músculos. + +## 💻 Ejercicios - Día 3 + +1. Declara tu edad como variable entera +2. Declara tu altura como una variable flotante +3. Declarar una variable que almacene un número complejo +4. Escriba un script que solicite al usuario que ingrese la base y la altura del triángulo y calcule el área de este triángulo (área = 0,5 x b x h). + +```py + Enter base: 20 + Enter height: 10 + The area of the triangle is 100 +``` + +5. Escriba un script que solicite al usuario que ingrese el lado a, el lado b y el lado c del triángulo. Calcula el perímetro del triángulo (perímetro = a + b + c). + +```py +Enter side a: 5 +Enter side b: 4 +Enter side c: 3 +The perimeter of the triangle is 12 +``` + +6. Obtenga la longitud y el ancho de un rectángulo usando el indicador. Calcula su área (área = largo x ancho) y perímetro (perímetro = 2 x (largo + ancho)) +7. Obtenga el radio de un círculo usando el aviso. Calcula el área (área = pi x r x r) y la circunferencia (c = 2 x pi x r) donde pi = 3,14. +8. Calcular la pendiente, la intersección x y la intersección y de y = 2x -2 +9. La pendiente es (m = y2-y1/x2-x1). Encuentre la pendiente y la [distancia euclidiana](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance.) entre el punto (2, 2) y el punto (6,10) +10. Compara las pendientes en las tareas 8 y 9. +11. Calcula el valor de y (y = x^2 + 6x + 9). Trate de usar diferentes valores de x y descubra en qué valor de x y será 0. +12. Encuentra la longitud de 'python' y 'dragon' y haz una declaración de comparación falsa. +13. Use el operador _and_ para verificar si 'on' se encuentra tanto en 'python' como en 'dragon' +14. _Espero que este curso no esté lleno de jerga_. Use el operador _in_ para verificar si _jerga_ está en la oración. +15. No hay 'on' ni en dragón ni en pitón +16. Encuentre la longitud del texto _python_ y convierta el valor en flotante y conviértalo en cadena +17. Los números pares son divisibles por 2 y el resto es cero. ¿Cómo verifica si un número es par o no usando python? +18. Verifique si la división de piso de 7 por 3 es igual al valor int convertido de 2.7. +19. Comprueba si el tipo de '10' es igual al tipo de 10 +20. Comprueba si int('9.8') es igual a 10 +21. Escriba un script que solicite al usuario que ingrese las horas y la tarifa por hora. ¿Calcular el salario de la persona? + +```py +Enter hours: 40 +Enter rate per hour: 28 +Your weekly earning is 1120 +``` + +22. Escriba un script que le solicite al usuario que ingrese el número de años. Calcula el número de segundos que una persona puede vivir. Suponga que una persona puede vivir cien años. + +```py +Enter number of years you have lived: 100 +You have lived for 3153600000 seconds. +``` + +23. Escriba un script de Python que muestre la siguiente tabla + +```py +1 1 1 1 1 +2 1 2 4 8 +3 1 3 9 27 +4 1 4 16 64 +5 1 5 25 125 +``` + +🎉 ¡FELICITACIONES! 🎉 + +[<< Day 2](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) | [Day 4 >>](../04_Day_Strings/04_strings.md) diff --git a/Spanish/03_Day_Operators/day-3.py b/Spanish/03_Day_Operators/day-3.py new file mode 100644 index 000000000..7764c9a30 --- /dev/null +++ b/Spanish/03_Day_Operators/day-3.py @@ -0,0 +1,124 @@ +# Operaciones aritméticas en Python +# Integers + +print('Addition: ', 1 + 2) +print('Subtraction: ', 2 - 1) +print('Multiplication: ', 2 * 3) +print ('Division: ', 4 / 2) # La división en python da un número flotante +print('Division: ', 6 / 2) +print('Division: ', 7 / 2) +print('Division without the remainder: ', 7 // 2) # da sin el número flotante o sin el resto +print('Modulus: ', 3 % 2) # Da el resto +print ('Division without the remainder: ', 7 // 3) +print('Exponential: ', 3 ** 2) # significa 3 * 3 + +# Números Floating +print('Floating Number,PI', 3.14) +print('Floating Number, gravity', 9.81) + +# Números Complex +print('Complex number: ', 1 + 1j) +print('Multiplying complex number: ',(1 + 1j) * (1-1j)) + +# Declarar la variable en la parte superior primero + +a = 3 # a es un nombre de variable y 3 es un tipo de dato entero +b = 2 # b es un nombre de variable y 3 es un tipo de dato entero + +# Operaciones aritméticas y asignación del resultado a una variable +total = a + b +diff = a - b +product = a * b +division = a / b +remainder = a % b +floor_division = a // b +exponential = a ** b + +# Debería haber usado sum en lugar de total, pero sum es una función integrada. Trate de evitar anular las funciones integradas. +print(total) # si no etiqueta su impresión con alguna cadena, nunca sabrá de dónde viene el resultado +print('a + b = ', total) +print('a - b = ', diff) +print('a * b = ', product) +print('a / b = ', division) +print('a % b = ', remainder) +print('a // b = ', floor_division) +print('a ** b = ', exponential) + +# Declarar valores y organizarlos juntos +num_one = 3 +num_two = 4 + +# Operaciones aritmeticas +total = num_one + num_two +diff = num_two - num_one +product = num_one * num_two +div = num_two / num_two +remainder = num_two % num_one + +# Imprimiendo valores con etiqueta +print('total: ', total) +print('difference: ', diff) +print('product: ', product) +print('division: ', div) +print('remainder: ', remainder) + + +# Cálculo del área de un círculo +radius = 10 # radio de un circulo +area_of_circle = 3.14 * radius ** 2 # dos * signo significa exponente o potencia +print('Area of a circle:', area_of_circle) + +# Calcular el área de un rectángulo +length = 10 +width = 20 +area_of_rectangle = length * width +print('Area of rectangle:', area_of_rectangle) + +# Calcular el peso de un objeto +mass = 75 +gravity = 9.81 +weight = mass * gravity +print(weight, 'N') + +print(3 > 2) # True, porque 3 es mayor que 2 +print(3 >= 2) # True, porque 3 es mayor que 2 +print(3 < 2) # False, porque 3 es mayor que 2 +print(2 < 3) # True, porque 2 es menor que 3 +print(2 <= 3) # True, porque 2 es menor que 3 +print(3 == 2) # False, porque 3 no es igual a 2 +print(3 != 2) # True, porque 3 no es igual a 2 +print(len('mango') == len('avocado')) # False +print(len('mango') != len('avocado')) # True +print(len('mango') < len('avocado')) # True +print(len('milk') != len('meat')) # False +print(len('milk') == len('meat')) # True +print(len('tomato') == len('potato')) # True +print(len('python') > len('dragon')) # False + +# Comparación booleana +print('True == True: ', True == True) +print('True == False: ', True == False) +print('False == False:', False == False) +print('True and True: ', True and True) +print('True or False:', True or False) + +# Comparación de otra forma +print('1 is 1', 1 is 1) # True - porque los valores de los datos son los mismos +print('1 is not 2', 1 is not 2) # True - porque 1 no es 2 +print('A in Asabeneh', 'A' in 'Asabeneh') # True - A encontrado en la cadena +print('B in Asabeneh', 'B' in 'Asabeneh') # False - no hay b mayúscula +print('coding' in 'coding for all') # True - porque codificar para todos tiene la palabra codificar +print('a in an:', 'a' in 'an') # True +print('4 is 2 ** 2:', 4 is 2 ** 2) # True + +print(3 > 2 and 4 > 3) # True - porque ambas afirmaciones son verdaderas +print(3 > 2 and 4 < 3) # False - porque la segunda afirmación es falsa +print(3 < 2 and 4 < 3) # False - porque ambas afirmaciones son falsas +print(3 > 2 or 4 > 3) # True - porque ambas afirmaciones son verdaderas +print(3 > 2 or 4 < 3) # True - porque uno de los enunciados es verdadero +print(3 < 2 or 4 < 3) # False - porque ambas afirmaciones son falsas +print(not 3 > 2) # False - porque 3 > 2 es verdadero, entonces not verdadero da falso +print(not True) # False - Negación, el operador not devuelve verdadero a falso +print(not False) # True +print(not not True) # True +print(not not False) # False \ No newline at end of file diff --git a/Spanish/03_operators_sp.md b/Spanish/03_operators_sp.md new file mode 100644 index 000000000..588298f73 --- /dev/null +++ b/Spanish/03_operators_sp.md @@ -0,0 +1,321 @@ +
    +

    30 días de Python: Día 3 - Operadores

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     +
    + +[<< Día 2](./02_variables_builtin_functions_sp.md) | [Día 4 >>](./04_strings_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +_Lectura aproximada: 12 min_ +- [📘 Día 3](#-día-3) + - [Boolean](#boolean) + - [Operadores](#operadores) + - [Operadores de asignación](#operadores-de-asignación) + - [Operadores aritméticos](#operadores-aritméticos) + - [Operadores de comparación](#operadores-de-comparación) + - [Operadores lógicos](#operadores-lógicos) + - [💻 Ejercicios - Día 3](#-ejercicios---día-3) + +# 📘 Día 3 + +## Boolean + +El tipo booleano representa uno de dos valores: _True_ o _False_. Cuando comencemos a usar operadores de comparación su uso quedará claro. La primera letra **T** representa True y **F** representa False; a diferencia de JavaScript, en Python las palabras booleanas deben escribirse con la primera letra en mayúscula. + +**Ejemplo: valores booleanos** + +```py +print(True) +print(False) +``` + +## Operadores + +Python soporta varios tipos de operadores. En esta sección nos centraremos en algunos de ellos. + +### Operadores de asignación + +Los operadores de asignación se usan para asignar valores a las variables. Tomemos = como ejemplo: en matemáticas el signo igual indica que dos valores son iguales, pero en Python indica que estamos almacenando un valor en una variable; esto se llama asignación. La tabla siguiente muestra los diferentes operadores de asignación en Python (tomada de [w3schools](https://www.w3schools.com/python/python_operators.asp)). + +![Assignment Operators](../images/assignment_operators.png) + +### Operadores aritméticos: + +- Suma (+): a + b +- Resta (-): a - b +- Multiplicación (*): a * b +- División (/): a / b +- Módulo (%): a % b +- División entera (//): a // b +- Exponenciación (**): a ** b + +![Arithmetic Operators](../images/arithmetic_operators.png) + +**Ejemplo: enteros** + +```py +# Operadores aritméticos en Python +# Enteros + +print('Addition: ', 1 + 2) # 3 +print('Subtraction: ', 2 - 1) # 1 +print('Multiplication: ', 2 * 3) # 6 +print ('Division: ', 4 / 2) # 2.0 la división en Python devuelve float +print('Division: ', 6 / 2) # 3.0 +print('Division: ', 7 / 2) # 3.5 +print('Division without the remainder: ', 7 // 2) # 3, devuelve la parte entera del cociente +print ('Division without the remainder: ',7 // 3) # 2 +print('Modulus: ', 3 % 2) # 1, devuelve el resto +print('Exponentiation: ', 2 ** 3) # 8 representa 2 * 2 * 2 +``` + +**Ejemplo: flotantes** + +```py +# Flotantes +print('Floating Point Number, PI', 3.14) +print('Floating Point Number, gravity', 9.81) +``` + +**Ejemplo: números complejos** + +```py +# Números complejos +print('Complex number: ', 1 + 1j) +print('Multiplying complex numbers: ',(1 + 1j) * (1 - 1j)) +``` + +Declararemos una variable y le asignaremos un valor numérico. En el ejemplo uso nombres de una sola letra, pero no acostumbres a nombrar variables así; los nombres deben ser siempre fáciles de recordar. + +**Ejemplo:** + +```python +# Primero declaramos las variables + +a = 3 # a es un nombre de variable, 3 es un valor entero +b = 2 # b es un nombre de variable, 2 es un valor entero + +# Realizamos operaciones aritméticas y asignamos los resultados a variables +total = a + b +diff = a - b +product = a * b +division = a / b +remainder = a % b +floor_division = a // b +exponential = a ** b + +# Deberíamos usar sum en lugar de total, pero sum es una función integrada — evita sobrescribirla +print(total) # Si no imprimimos etiquetas, no sabremos qué representa cada valor +print('a + b = ', total) +print('a - b = ', diff) +print('a * b = ', product) +print('a / b = ', division) +print('a % b = ', remainder) +print('a // b = ', floor_division) +print('a ** b = ', exponentiation) +``` + +**Ejemplo:** + +```py +print('== Addition, Subtraction, Multiplication, Division, Modulus ==') + +# Declaramos las variables +num_one = 3 +num_two = 4 + +# Operaciones aritméticas +total = num_one + num_two +diff = num_two - num_one +product = num_one * num_two +div = num_two / num_one +remainder = num_two % num_one + +# Imprimimos con etiquetas +print('total: ', total) +print('difference: ', diff) +print('product: ', product) +print('division: ', div) +print('remainder: ', remainder) +``` + +Comencemos a usar números con decimales y pongamos en práctica lo aprendido para calcular áreas, volúmenes, densidades, pesos, perímetros, distancias y fuerzas. + +**Ejemplo:** + +```py +# Calcular el área de un círculo +radius = 10 # radio del círculo +area_of_circle = 3.14 * radius ** 2 # dos * indican exponente o potencia +print('Area of a circle:', area_of_circle) + +# Calcular el área del rectángulo +length = 10 +width = 20 +area_of_rectangle = length * width +print('Area of rectangle:', area_of_rectangle) + +# Calcular el peso de un objeto +mass = 75 +gravity = 9.81 +weight = mass * gravity +print(weight, 'N') # añadimos la unidad para la fuerza + +# Calcular la densidad de un líquido +mass = 75 # unidad: Kg +volume = 0.075 # unidad: m³ +density = mass / volume # 1000 Kg/m³ + +``` + +### Operadores de comparación + +En programación usamos operadores de comparación para comparar dos valores. Comprobamos si un valor es mayor, menor o igual a otro. La tabla siguiente muestra los operadores de comparación en Python (tomada de [w3schools](https://www.w3schools.com/python/python_operators.asp)). + +![Comparison Operators](../images/comparison_operators.png) +**Ejemplo: operadores de comparación** + +```py +print(3 > 2) # True, porque 3 es mayor que 2 +print(3 >= 2) # True, porque 3 es mayor o igual que 2 +print(3 < 2) # False, porque 3 no es menor que 2 +print(2 < 3) # True, porque 2 es menor que 3 +print(2 <= 3) # True, porque 2 es menor o igual que 3 +print(3 == 2) # False, porque 3 no es igual a 2 +print(3 != 2) # True, porque 3 no es igual a 2 +print(len('mango') == len('avocado')) # False +print(len('mango') != len('avocado')) # True +print(len('mango') < len('avocado')) # True +print(len('milk') != len('meat')) # False +print(len('milk') == len('meat')) # True +print(len('tomato') == len('potato')) # True +print(len('python') > len('dragon')) # False + + +# Las comparaciones devuelven True o False + +print('True == True: ', True == True) +print('True == False: ', True == False) +print('False == False:', False == False) +``` + +Además de los operadores de comparación anteriores, Python también utiliza： + +- _is_: devuelve True si los objetos son idénticos (x is y) +- _is not_: devuelve True si los objetos no son idénticos (x is not y) +- _in_: devuelve True si un elemento está en una secuencia (x in y) +- _not in_: devuelve True si un elemento no está en una secuencia (x not in y) + +```py +print('1 is 1', 1 is 1) # True - porque los objetos son idénticos +print('1 is not 2', 1 is not 2) # True - porque los objetos no son idénticos +print('A in Asabeneh', 'A' in 'Asabeneh') # True - la cadena contiene 'A' +print('B in Asabeneh', 'B' in 'Asabeneh') # False - no hay 'B' mayúscula +print('coding' in 'coding for all') # True - 'coding' está en 'coding for all' +print('a in an:', 'a' in 'an') # True +print('4 is 2 ** 2:', 4 is 2 ** 2) # True +``` + +### Operadores lógicos + +A diferencia de otros lenguajes de programación, Python usa las palabras clave _and_, _or_ y _not_ como operadores lógicos. Los operadores lógicos se utilizan para combinar expresiones condicionales: + +![Logical Operators](../images/logical_operators.png) + +```py +print(3 > 2 and 4 > 3) # True - porque ambas expresiones son True +print(3 > 2 and 4 < 3) # False - porque una de las expresiones es False +print(3 < 2 and 4 < 3) # False - porque ambas expresiones son False +print('True and True: ', True and True) +print(3 > 2 or 4 > 3) # True - porque una o ambas expresiones son True +print(3 > 2 or 4 < 3) # True - porque una de las expresiones es True +print(3 < 2 or 4 < 3) # False - porque ambas expresiones son False +print('True or False:', True or False) +print(not 3 > 2) # False - 3 > 2 es True, not True es False +print(not True) # False - not convierte True en False +print(not False) # True +print(not not True) # True +print(not not False) # False + +``` + +🌕 ¡Con energía! Acabas de completar el desafío del Día 3 y has avanzado tres pasos en el camino hacia el dominio. Ahora realiza algunos ejercicios para poner a prueba tu mente y tus habilidades. + + +## 💻 Ejercicios - Día 3 + +1. Declara una variable entera que represente tu edad +2. Declara una variable float que represente tu altura +3. Declara una variable compleja +4. Escribe un script que pida al usuario la base y la altura de un triángulo y calcule su área (Área = 0,5 x b x h). + +```py + Entrada base: 20 + Entrada altura: 10 + El área del triángulo es 100 +``` + +5. Escribe un script que pida al usuario los lados a, b y c de un triángulo y calcule su perímetro (Perímetro = a + b + c). + +```py + Entrada lado a: 5 + Entrada lado b: 4 + Entrada lado c: 3 + El perímetro del triángulo es 12 +``` +6. Pide al usuario la longitud y la anchura de un rectángulo. Calcula su área (Área = largo x ancho) y su perímetro (Perímetro = 2 x (largo + ancho)). +7. Pide al usuario el radio de un círculo. Calcula su área (Área = pi x r x r) y su circunferencia (Circunferencia = 2 x pi x r), con pi = 3.14. +8. Calcula la pendiente, la intersección en x y la intersección en y de y = 2x - 2. +9. La pendiente se calcula como (m = (y2 - y1) / (x2 - x1)). Encuentra la pendiente y la distancia euclídea entre los puntos (2, 2) y (6, 10). +10. Compara las pendientes obtenidas en los ejercicios 8 y 9. +11. Calcula el valor de y para y = x^2 + 6x + 9. Prueba con distintos valores de x y encuentra cuándo y es 0. +12. Encuentra la longitud de 'python' y 'dragon', y realiza una comparación ficticia. +13. Usa el operador _and_ para comprobar si tanto 'python' como 'dragon' contienen 'on'. +14. En la oración _I hope this course is not full of jargon_, usa el operador _in_ para comprobar si contiene la palabra _jargon_. +15. Comprueba que ni 'dragon' ni 'python' contienen 'on'. +16. Encuentra la longitud de 'python', conviértela a float y luego a string. +17. Los números pares son divisibles por 2 con resto 0. ¿Cómo comprobar en Python si un número es par o impar? +18. Comprueba si la división entera de 7 entre 3 es igual al valor entero de 2.7. +19. Comprueba si el tipo de '10' es igual al tipo de 10. +20. Comprueba si int('9.8') es igual a 10. +21. Escribe un script que solicite las horas trabajadas y la tarifa por hora al usuario y calcule el salario. + +```py +Introduce horas trabajadas: 40 +Introduce tarifa por hora: 28 +Tu salario semanal es 1120 +``` + + +22. Escribe un script que pida al usuario los años vividos y calcule cuántos segundos ha vivido una persona (supongamos que puede vivir 100 años). + +```py +Introduce cuántos años has vivido: 100 +Has vivido 3153600000 segundos. +``` + +23. Escribe un script en Python que muestre la siguiente tabla + + +```py +1 1 1 1 1 +2 1 2 4 8 +3 1 3 9 27 +4 1 4 16 64 +5 1 5 25 125 +``` + +🎉 ¡Felicidades! 🎉 + +[<< Día 2](./02_variables_builtin_functions_sp.md) | [Día 4 >>](./04_strings_sp.md) diff --git a/Spanish/04_strings_sp.md b/Spanish/04_strings_sp.md new file mode 100644 index 000000000..2a0c16284 --- /dev/null +++ b/Spanish/04_strings_sp.md @@ -0,0 +1,608 @@ +
    +

    30 días de Python: Día 4 - Cadenas

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[<< Día 3](./03_operators_sp.md) | [Día 5 >>](./05_lists_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +_Lectura aproximada: 20 min_ + +- [Día 4](#día-4) + - [Cadenas](#cadenas) + - [Crear cadenas](#crear-cadenas) + - [Concatenación de cadenas](#concatenación-de-cadenas) + - [Secuencias de escape en cadenas](#secuencias-de-escape-en-cadenas) + - [Formateo de cadenas](#formateo-de-cadenas) + - [Formateo clásico (% operador)](#formateo-clásico--operador) + - [Formateo moderno (str.format)](#formateo-moderno-strformat) + - [Interpolación / f-Strings (Python 3.6+)](#interpolación--f-strings-python-36) + - [Las cadenas en Python son secuencias de caracteres](#las-cadenas-en-python-son-secuencias-de-caracteres) + - [Desempaquetar caracteres](#desempaquetar-caracteres) + - [Obtener caracteres por índice](#obtener-caracteres-por-índice) + - [Slicing de cadenas](#slicing-de-cadenas) + - [Invertir cadenas](#invertir-cadenas) + - [Saltar caracteres al hacer slicing](#saltar-caracteres-al-hacer-slicing) + - [Métodos de cadenas](#métodos-de-cadenas) + - [💻 Ejercicios - Día 4](#-ejercicios---día-4) + +# Día 4 + +## Cadenas + +El texto es un tipo de dato de cadena. Cualquier dato escrito como texto es una cadena. Todo lo que esté entre comillas simples, dobles o triples se considera una cadena. Existen muchos métodos y funciones integradas para trabajar con cadenas. Use la función `len()` para obtener la longitud de una cadena. + +### Crear cadenas + +```py +letter = 'P' # Una cadena puede ser un carácter o un texto +print(letter) # P +print(len(letter)) # 1 +greeting = 'Hello, World!' # Las cadenas se crean con comillas simples o dobles, "Hello, World!" +print(greeting) # Hello, World! +print(len(greeting)) # 13 +sentence = "I hope you are enjoying 30 days of Python Challenge" +print(sentence) +``` + +Las cadenas multilínea se crean utilizando tres comillas simples (`'''`) o tres comillas dobles (`"""`). A continuación un ejemplo: + +```py +multiline_string = '''I am a teacher and enjoy teaching. +I didn't find anything as rewarding as empowering people. +That is why I created 30 days of python.''' +print(multiline_string) + +# Otra forma +multiline_string = """I am a teacher and enjoy teaching. +I didn't find anything as rewarding as empowering people. +That is why I created 30 days of python.""" +print(multiline_string) +``` + +### Concatenación de cadenas + +Podemos concatenar cadenas. La unión de cadenas se llama concatenación. Vea el siguiente ejemplo: + +```py + +first_name = 'Asabeneh' +last_name = 'Yetayeh' +space = ' ' +full_name = first_name + space + last_name +print(full_name) # Asabeneh Yetayeh +# Uso de `len()` para obtener la longitud de una cadena +print(len(first_name)) # 8 +print(len(last_name)) # 7 +print(len(first_name) > len(last_name)) # True +print(len(full_name)) # 16 +``` + +### Secuencias de escape en cadenas + +En Python y otros lenguajes una barra invertida (`\`) seguida de un carácter forma una secuencia de escape. Algunas secuencias comunes son: + +- \n: nueva línea +- \t: tabulación (4 espacios) +- \\\\: barra invertida +- \' : comilla simple +- \" : comilla doble + +Ahora veamos ejemplos del uso de estas secuencias. + +```py +print('I hope everyone is enjoying the Python Challenge.\nAre you ?') # nueva línea +print('Days\tTopics\tExercises') # añade una tabulación +print('Day 1\t5\t5') +print('Day 2\t6\t20') +print('Day 3\t5\t23') +print('Day 4\t1\t35') +print('This is a backslash symbol (\\)') # imprime barra invertida +print('In every programming language it starts with \"Hello, World!\"') # comillas dobles dentro de comillas simples + +# Salida +I hope every one is enjoying the Python Challenge. +Are you ? +Days Topics Exercises +Day 1 5 5 +Day 2 6 20 +Day 3 5 23 +Day 4 1 35 +This is a backslash symbol (\) +In every programming language it starts with "Hello, World!" +``` + +### Formateo de cadenas + +#### Formateo clásico (% operador) + +En Python existen varias maneras de formatear cadenas. En esta sección veremos algunas de ellas. +El operador '%' se usa para formatear una tupla de variables dentro de una cadena de formato, usando especificadores como '%s', '%d', '%f' y '%.nf'. + +- %s - cadena (o cualquier objeto representable como cadena) +- %d - entero +- %f - punto flotante +- "%.nf" - punto flotante con precisión fija (n decimales) + +```py +# Solo cadenas +first_name = 'Asabeneh' +last_name = 'Yetayeh' +language = 'Python' +formated_string = 'I am %s %s. I teach %s' %(first_name, last_name, language) +print(formated_string) + +# Cadenas y números +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +formated_string = 'The area of circle with a radius %d is %.2f.' %(radius, area) # 2 indica 2 decimales + +python_libraries = ['Django', 'Flask', 'NumPy', 'Matplotlib','Pandas'] +formated_string = 'The following are python libraries:%s' % (python_libraries) +print(formated_string) # imprime "The following are python libraries:['Django', 'Flask', 'NumPy', 'Matplotlib','Pandas']" +``` + +#### Formateo moderno (str.format) + +Este método de formateo se introdujo en Python 3. + +```py + +first_name = 'Asabeneh' +last_name = 'Yetayeh' +language = 'Python' +formated_string = 'I am {} {}. I teach {}'.format(first_name, last_name, language) +print(formated_string) +a = 4 +b = 3 + +print('{} + {} = {}'.format(a, b, a + b)) +print('{} - {} = {}'.format(a, b, a - b)) +print('{} * {} = {}'.format(a, b, a * b)) +print('{} / {} = {:.2f}'.format(a, b, a / b)) # limitar a dos decimales +print('{} % {} = {}'.format(a, b, a % b)) +print('{} // {} = {}'.format(a, b, a // b)) +print('{} ** {} = {}'.format(a, b, a ** b)) + +# Salida +4 + 3 = 7 +4 - 3 = 1 +4 * 3 = 12 +4 / 3 = 1.33 +4 % 3 = 1 +4 // 3 = 1 +4 ** 3 = 64 + +# Cadenas y números +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +formated_string = 'The area of a circle with a radius {} is {:.2f}.'.format(radius, area) # mantener dos decimales +print(formated_string) + +``` + +#### Interpolación / f-Strings (Python 3.6+) + +Otra forma moderna de formatear cadenas es la interpolación con f-strings. Las cadenas empiezan con `f` y se insertan expresiones entre llaves. + +```py +a = 4 +b = 3 +print(f'{a} + {b} = {a +b}') +print(f'{a} - {b} = {a - b}') +print(f'{a} * {b} = {a * b}') +print(f'{a} / {b} = {a / b:.2f}') +print(f'{a} % {b} = {a % b}') +print(f'{a} // {b} = {a // b}') +print(f'{a} ** {b} = {a ** b}') +``` + +### Las cadenas en Python son secuencias de caracteres + +Las cadenas en Python son secuencias de caracteres y comparten los mismos métodos de acceso que otras secuencias como listas y tuplas. La forma más sencilla de extraer caracteres individuales (o elementos de cualquier secuencia) es desempaquetarlos en variables. + +#### Desempaquetar caracteres + +``` +language = 'Python' +a,b,c,d,e,f = language # desempaquetar caracteres y asignarlos a variables +print(a) # P +print(b) # y +print(c) # t +print(d) # h +print(e) # o +print(f) # n +``` + +#### Obtener caracteres por índice + +En programación la indexación comienza en cero. Por tanto, la primera letra está en el índice 0 y la última en la longitud de la cadena menos uno. + +![String index](../images/string_index.png) + +```py +language = 'Python' +first_letter = language[0] +print(first_letter) # P +second_letter = language[1] +print(second_letter) # y +last_index = len(language) - 1 +last_letter = language[last_index] +print(last_letter) # n +``` + +Si queremos contar desde la derecha usamos índices negativos; -1 es el último índice. + +```py +language = 'Python' +last_letter = language[-1] +print(last_letter) # n +second_last = language[-2] +print(second_last) # o +``` + +#### Slicing de cadenas + +En Python podemos obtener subcadenas mediante slicing. + +```py +language = 'Python' +first_three = language[0:3] # empieza en índice 0, hasta 3 pero sin incluir 3 +print(first_three) #Pyt +last_three = language[3:6] +print(last_three) # hon +# Otra forma +last_three = language[-3:] +print(last_three) # hon +last_three = language[3:] +print(last_three) # hon +``` + +#### Invertir cadenas + +Podemos invertir fácilmente una cadena. + +```py +greeting = 'Hello, World!' +print(greeting[::-1]) # !dlroW ,olleH +``` + +#### Saltar caracteres al hacer slicing + +Al pasar un parámetro de paso en slicing podemos omitir caracteres al extraer subcadenas. + + +```py +language = 'Python' +pto = language[0:6:2] # +print(pto) # Pto +``` + +### Métodos de cadenas + +Hay muchos métodos para manipular y formatear cadenas. A continuación vemos algunos ejemplos: + +- capitalize(): convierte el primer carácter de la cadena a mayúscula + +```py +challenge = 'thirty days of python' +print(challenge.capitalize()) # 'Thirty days of python' (primera letra en mayúscula) +``` + +- count(): devuelve el número de ocurrencias de una subcadena: `count(subcadena, start=.., end=..)`. `start` y `end` definen el rango de conteo. + +```py +challenge = 'thirty days of python' +print(challenge.count('y')) # 3 +print(challenge.count('y', 7, 14)) # 1, cuenta entre índices 7 y 14 +print(challenge.count('th')) # 2 +``` + +- endswith(): determina si la cadena termina con la subcadena dada; devuelve `True` o `False` + +```py +challenge = 'thirty days of python' +print(challenge.endswith('on')) # True +print(challenge.endswith('tion')) # False (no termina con 'tion') +``` + +- expandtabs(): reemplaza tabulaciones por espacios; el tamaño por defecto es 8, acepta parámetro de tamaño. + +```py +challenge = 'thirty\tdays\tof\tpython' +print(challenge.expandtabs()) # 'thirty days of python' +print(challenge.expandtabs(10)) # 'thirty days of python' (tabulaciones expandidas a 10 espacios) +``` + +- find(): devuelve el índice de la primera aparición de una subcadena; si no se encuentra devuelve -1 + +```py +challenge = 'thirty days of python' +print(challenge.find('y')) # 5 +print(challenge.find('th')) # 0 +``` + +- rfind(): devuelve el índice de la última aparición de una subcadena; si no se encuentra devuelve -1 + +```py +challenge = 'thirty days of python' +print(challenge.rfind('y')) # 16 +print(challenge.rfind('th')) # 17 +``` + +- format(): formatea una cadena para una salida más legible +Para más información sobre el formateo de cadenas consulte este [enlace](https://www.programiz.com/python-programming/methods/string/format) + +```py +first_name = 'Asabeneh' +last_name = 'Yetayeh' +age = 250 +job = 'teacher' +country = 'Finland' +sentence = 'I am {} {}. I am a {}. I am {} years old. I live in {}.'.format(first_name, last_name, age, job, country) +print(sentence) # I am Asabeneh Yetayeh. I am 250 years old. I am a teacher. I live in Finland. + +radius = 10 +pi = 3.14 +area = pi * radius ** 2 +result = 'The area of a circle with radius {} is {}'.format(str(radius), str(area)) +print(result) # The area of a circle with radius 10 is 314 +``` + +- index(): devuelve el índice de la primera aparición de una subcadena; acepta parámetros de inicio y fin (por defecto 0 y longitud de la cadena). Si la subcadena no se encuentra, lanza `ValueError`. + +```py +challenge = 'thirty days of python' +sub_string = 'da' +print(challenge.index(sub_string)) # 7 +print(challenge.index(sub_string, 9)) # error +``` + +- rindex(): devuelve el índice de la última aparición de una subcadena; acepta parámetros de inicio y fin (por defecto 0 y longitud de la cadena). + +```py +challenge = 'thirty days of python' +sub_string = 'da' +print(challenge.rindex(sub_string)) # 8 +print(challenge.rindex(sub_string, 9)) # error +``` + +- isalnum(): determina si todos los caracteres de la cadena son alfanuméricos + +```py +challenge = 'ThirtyDaysPython' +print(challenge.isalnum()) # True + +challenge = '30DaysPython' +print(challenge.isalnum()) # True + +challenge = 'thirty days of python' +print(challenge.isalnum()) # False, el espacio no es un carácter alfanumérico + +challenge = 'thirty days of python 2019' +print(challenge.isalnum()) # False +``` + +- isalpha(): determina si todos los caracteres de la cadena son letras (a-z y A-Z) + +```py +challenge = 'thirty days of python' +print(challenge.isalpha()) # False, el espacio no es una letra +challenge = 'ThirtyDaysPython' +print(challenge.isalpha()) # True +num = '123' +print(num.isalpha()) # False +``` + +- isdecimal(): determina si todos los caracteres son decimales (0-9) + +```py +challenge = 'thirty days of python' +print(challenge.isdecimal()) # False +challenge = '123' +print(challenge.isdecimal()) # True +challenge = '\u00B2' +print(challenge.isdigit()) # False +challenge = '12 3' +print(challenge.isdecimal()) # False, contiene espacios +``` + +- isdigit(): determina si todos los caracteres son dígitos (0-9 y otros caracteres numéricos Unicode) + +```py +challenge = 'Thirty' +print(challenge.isdigit()) # False +challenge = '30' +print(challenge.isdigit()) # True +challenge = '\u00B2' +print(challenge.isdigit()) # True (caracteres numéricos Unicode) +``` + +- isnumeric(): determina si todos los caracteres son numéricos o están relacionados con números (similar a `isdigit()` pero acepta más símbolos, p. ej. ½) + +```py +num = '10' +print(num.isnumeric()) # True +num = '\u00BD' # ½ +print(num.isnumeric()) # True +num = '10.5' +print(num.isnumeric()) # False +``` + +- isidentifier(): comprueba si la cadena es un identificador válido (nombre de variable válido) + +```py +challenge = '30DaysOfPython' +print(challenge.isidentifier()) # False, porque empieza por un número +challenge = 'thirty_days_of_python' +print(challenge.isidentifier()) # True +``` + +- islower(): determina si todas las letras de la cadena están en minúsculas + +```py +challenge = 'thirty days of python' +print(challenge.islower()) # True +challenge = 'Thirty days of python' +print(challenge.islower()) # False +``` + +- isupper(): determina si todas las letras de la cadena están en mayúsculas + +```py +challenge = 'thirty days of python' +print(challenge.isupper()) # False +challenge = 'THIRTY DAYS OF PYTHON' +print(challenge.isupper()) # True +``` + +- join(): devuelve la cadena resultante tras unir los elementos + +```py +web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] +result = ' '.join(web_tech) +print(result) # 'HTML CSS JavaScript React' (devuelve la cadena unida) +``` + +```py +web_tech = ['HTML', 'CSS', 'JavaScript', 'React'] +result = '# '.join(web_tech) +print(result) # 'HTML# CSS# JavaScript# React' +``` + +- strip(): elimina los caracteres dados del inicio y del final de la cadena + +```py +challenge = 'thirty days of python' +print(challenge.strip('noth')) # 'irty days of py' (elimina los caracteres dados del inicio y final) +``` + +- replace(): reemplaza una subcadena por otra dada + +```py +challenge = 'thirty days of python' +print(challenge.replace('python', 'coding')) # 'thirty days of coding' +``` + +- split(): divide una cadena usando un separador dado o espacios + +```py +challenge = 'thirty days of python' +print(challenge.split()) # ['thirty', 'days', 'of', 'python'] +challenge = 'thirty, days, of, python' +print(challenge.split(', ')) # ['thirty', 'days', 'of', 'python'] +``` + +- title(): devuelve la cadena en formato título (Title Case) + +```py +challenge = 'thirty days of python' +print(challenge.title()) # Thirty Days Of Python +``` + +- swapcase(): convierte mayúsculas a minúsculas y minúsculas a mayúsculas + +```py +challenge = 'thirty days of python' +print(challenge.swapcase()) # THIRTY DAYS OF PYTHON +challenge = 'Thirty Days Of Python' +print(challenge.swapcase()) # tHIRTY dAYS oF pYTHON +``` + +- startswith(): determina si la cadena comienza con la subcadena especificada + +```py +challenge = 'thirty days of python' +print(challenge.startswith('thirty')) # True + +challenge = '30 days of python' +print(challenge.startswith('thirty')) # False (no empieza con 'thirty') +``` + +🌕 Eres una persona extraordinaria con un enorme potencial. Acabas de completar el desafío del Día 4; llevas cuatro pasos en tu camino para convertirte en un gran profesional. Ahora realiza algunos ejercicios para entrenar tu mente y tus habilidades. + +## 💻 Ejercicios - Día 4 + +1. Une las cadenas 'Thirty', 'Days', 'Of', 'Python' en 'Thirty Days Of Python'. +2. Une las cadenas 'Coding', 'For', 'All' en 'Coding For All'. +3. Declara la variable `company` y asígnale el valor inicial "Coding For All". +4. Imprime la variable `company` usando `print()`. +5. Usa `len()` y `print()` para mostrar la longitud de la cadena `company`. +6. Usa el método `upper()` para convertir todos los caracteres a mayúsculas. +7. Usa el método `lower()` para convertir todos los caracteres a minúsculas. +8. Aplica `capitalize()`, `title()` y `swapcase()` sobre la cadena 'Coding For All'. +9. Extrae mediante slicing la primera palabra de 'Coding For All'. +10. Usa `index`, `find` u otros métodos para comprobar si la cadena 'Coding For All' contiene la palabra 'Coding'. +11. Reemplaza la palabra 'Coding' por 'Python' en 'Coding For All'. +12. Reemplaza 'Python for Everyone' por 'Python for All' (usa `replace()` u otro método). +13. Separa la cadena 'Coding For All' usando espacios como separador. +14. Divide la cadena 'Facebook, Google, Microsoft, Apple, IBM, Oracle, Amazon' por las comas. +15. ¿Qué carácter está en el índice 0 de 'Coding For All'? +16. ¿Cuál es el índice del último carácter de 'Coding For All'? +17. ¿Qué carácter está en el índice 10 de 'Coding For All'? +18. Crea una sigla (acrónimo) a partir de 'Python For Everyone'. +19. Crea una sigla a partir de 'Coding For All'. +20. Usando `index`, determina la primera aparición de la letra 'C' en 'Coding For All'. +21. Usando `index`, determina la primera aparición de la letra 'F' en 'Coding For All'. +22. Usa `rfind` para determinar la última aparición de 'l' en 'Coding For All People'. +23. Usa `index` o `find` para encontrar la primera aparición de la palabra 'because' en: 'You cannot end a sentence with because because because is a conjunction' +24. Usa `rindex` para encontrar la última aparición de la palabra 'because' en: 'You cannot end a sentence with because because because is a conjunction'. +25. Elimina la frase 'because because because' de: 'You cannot end a sentence with because because because is a conjunction'. +26. Encuentra la primera aparición de la palabra 'because' en: 'You cannot end a sentence with because because because is a conjunction'. +27. Elimina la frase 'because because because' de la oración anterior. +28. ¿La cadena 'Coding For All' empieza con la subcadena 'Coding'? +29. ¿La cadena 'Coding For All' termina con la subcadena 'coding'? +30. Elimina los espacios en blanco a la izquierda y derecha de la cadena '   Coding For All      '. +31. Usando `isidentifier()`, ¿cuál de las siguientes devuelve `True`? + - 30DaysOfPython + - thirty_days_of_python +32. Dada la lista ['Django', 'Flask', 'Bottle', 'Pyramid', 'Falcon'], únela en una cadena separada por espacios. +33. Usa la secuencia de escape de nueva línea para separar las siguientes oraciones: + ```py + I am enjoying this challenge. + I just wonder what is next. + ``` +34. Usa la secuencia de tabulación para mostrar: + ```py + Name Age Country City + Asabeneh 250 Finland Helsinki + ``` +35. Usa un método de formateo de cadenas para imprimir: + +```py +radius = 10 +area = 3.14 * radius ** 2 +# The area of a circle with radius 10 is 314 meters square. +``` + +36. Usa un método de formateo de cadenas para imprimir: + +```py +8 + 6 = 14 +8 - 6 = 2 +8 * 6 = 48 +8 / 6 = 1.33 +8 % 6 = 2 +8 // 6 = 1 +8 ** 6 = 262144 +``` + +🎉 ¡Felicidades! 🎉 + +[<< Día 3](./03_operators_sp.md) | [Día 5 >>](./05_lists_sp.md) + + diff --git a/Spanish/05_lists_sp.md b/Spanish/05_lists_sp.md new file mode 100644 index 000000000..5a9237f9e --- /dev/null +++ b/Spanish/05_lists_sp.md @@ -0,0 +1,596 @@ +
    +

    30 días de Python: Día 5 - Listas

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[<< Día 4](./04_strings_sp.md) | [Día 6 >>](./06_tuples_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [Día 5](#día-5) + - [Listas](#listas) + - [Cómo crear listas](#cómo-crear-listas) + - [Acceder por índice positivo](#acceder-por-índice-positivo) + - [Acceder por índice negativo](#acceder-por-índice-negativo) + - [Desempaquetado de listas](#desempaquetado-de-listas) + - [Slicing de listas](#slicing-de-listas) + - [Modificar listas](#modificar-listas) + - [Buscar elementos](#buscar-elementos) + - [Agregar elementos](#agregar-elementos) + - [Insertar elementos](#insertar-elementos) + - [Eliminar elementos](#eliminar-elementos) + - [Eliminar con pop()](#eliminar-con-pop) + - [Eliminar con del](#eliminar-con-del) + - [Vaciar la lista](#vaciar-la-lista) + - [Copiar listas](#copiar-listas) + - [Unir listas](#unir-listas) + - [Contar elementos](#contar-elementos) + - [Encontrar el índice de un elemento](#encontrar-el-índice-de-un-elemento) + - [Invertir listas](#invertir-listas) + - [Ordenar listas](#ordenar-listas) + - [💻 Ejercicios - Día 5](#-ejercicios---día-5) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + +# Día 5 + +## Listas + +En Python hay cuatro tipos de colecciones: + +- List: colección ordenada y mutable. Permite elementos duplicados. +- Tuple: colección ordenada e inmutable. Permite elementos duplicados. +- Set: colección no ordenada e indexable; no permite duplicados (aunque se pueden añadir elementos). +- Dictionary: colección no ordenada, mutable y accesible por clave. No permite claves duplicadas. + + +Una lista es una colección ordenada y mutable que puede contener elementos de diferentes tipos. Una lista puede estar vacía o contener elementos heterogéneos. + +### Cómo crear listas + +En Python podemos crear listas de dos maneras: + +- Usando la función incorporada `list()` + +```py +# Sintaxis +lst = list() +``` + +```py +empty_list = list() # Esta es una lista vacía +print(len(empty_list)) # 0 +``` +- Usando corchetes `[]` + +```py +# Sintaxis +lst = [] +``` + +```py +empty_list = [] # Esta es una lista vacía +print(len(empty_list)) # 0 +``` + +Listas con valores iniciales. Usamos `len()` para comprobar la longitud. + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] # lista de frutas +vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] # lista de verduras +animal_products = ['milk', 'meat', 'butter', 'yoghurt'] # lista de animal products +web_techs = ['HTML', 'CSS', 'JS', 'React','Redux', 'Node', 'MongDB'] # lista de web technologies +countries = ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] + +# Imprimir listas y su longitud +print('Fruits:', fruits) +print('Number of fruits:', len(fruits)) +print('Vegetables:', vegetables) +print('Number of vegetables:', len(vegetables)) +print('Animal products:',animal_products) +print('Number of animal products:', len(animal_products)) +print('Web technologies:', web_techs) +print('Number of web technologies:', len(web_techs)) +print('Countries:', countries) +print('Number of countries:', len(countries)) +``` + +```sh +Salida +Fruits: ['banana', 'orange', 'mango', 'lemon'] +Number of fruits: 4 +Vegetables: ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +Number of vegetables: 5 +Animal products: ['milk', 'meat', 'butter', 'yoghurt'] +Number of animal products: 4 +Web technologies: ['HTML', 'CSS', 'JS', 'React', 'Redux', 'Node', 'MongDB'] +Number of web technologies: 7 +Countries: ['Finland', 'Estonia', 'Denmark', 'Sweden', 'Norway'] +Number of countries: 5 +``` + +- Las listas pueden contener elementos de distintos tipos + +```py + lst = ['Asabeneh', 250, True, {'country':'Finland', 'city':'Helsinki'}] # lista con distintos tipos de datos +``` + + +### Acceder por índice positivo + +Usamos índices para acceder a los elementos de una lista. Los índices comienzan en 0. La imagen muestra claramente dónde empiezan los índices. + +![List index](../images/list_index.png) + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +first_fruit = fruits[0] # estamos usando su índice para acceder al primer elemento +print(first_fruit) # banana +second_fruit = fruits[1] +print(second_fruit) # orange +last_fruit = fruits[3] +print(last_fruit) # lemon +# Last index +last_index = len(fruits) - 1 +last_fruit = fruits[last_index] +``` + +### Acceder por índice negativo + +Los índices negativos cuentan desde el final; `-1` es el último elemento, `-2` el penúltimo. + +![List negative indexing](../images/list_negative_indexing.png) + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +first_fruit = fruits[-4] +last_fruit = fruits[-1] +second_last = fruits[-2] +print(first_fruit) # banana +print(last_fruit) # lemon +print(second_last) # mango +``` + +### Desempaquetado de listas + +```py +lst = ['item1','item2','item3', 'item4', 'item5'] +first_item, second_item, third_item, *rest = lst +print(first_item) # item1 +print(second_item) # item2 +print(third_item) # item3 +print(rest) # ['item4', 'item5'] + +``` + +```py +# Ejemplo uno +fruits = ['banana', 'orange', 'mango', 'lemon','lime','apple'] +first_fruit, second_fruit, third_fruit, *rest = fruits +print(first_fruit) # banana +print(second_fruit) # orange +print(third_fruit) # mango +print(rest) # ['lemon','lime','apple'] +# Ejemplo dos +first, second, third,*rest, tenth = [1,2,3,4,5,6,7,8,9,10] +print(first) # 1 +print(second) # 2 +print(third) # 3 +print(rest) # [4,5,6,7,8,9] +print(tenth) # 10 +# Ejemplo tres +countries = ['Germany', 'France','Belgium','Sweden','Denmark','Finland','Norway','Iceland','Estonia'] +gr, fr, bg, sw, *scandic, es = countries +print(gr) +print(fr) +print(bg) +print(sw) +print(scandic) +print(es) +``` + +### Slicing de listas + +- Índices positivos: especificando inicio, fin y paso obtenemos una nueva lista. (inicio por defecto 0, fin por defecto len(lst) - 1, paso por defecto 1) + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +all_fruits = fruits[0:4] # devuelve todos los elementos +# mismo resultado que arriba +all_fruits = fruits[0:] # Si no se especifica el índice de fin, devolverá todos los elementos desde el inicio hasta el final +orange_and_mango = fruits[1:3] # no incluye el índice 3 +orange_mango_lemon = fruits[1:] +orange_and_lemon = fruits[::2] # usamos el tercer parámetro (paso). Toma cada 2 elementos - ['banana', 'mango'] +``` + +- Índices negativos: especificando inicio, fin y paso con índices negativos se obtiene una nueva lista. + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +all_fruits = fruits[-4:] # Devuelve todos los elementos +orange_and_mango = fruits[-3:-1] # No incluye el último elemento, ['orange', 'mango'] +orange_mango_lemon = fruits[-3:] # Devuelve los elementos desde -3 hasta el final, ['orange', 'mango', 'lemon'] +reverse_fruits = fruits[::-1] # un paso negativo invierte la lista, ['lemon', 'mango', 'orange', 'banana'] +``` + +### Modificar listas + +Una lista es una colección ordenada y mutable. A continuación modificamos la lista `fruits`. + + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits[0] = 'avocado' +print(fruits) # ['avocado', 'orange', 'mango', 'lemon'] +fruits[1] = 'apple' +print(fruits) # ['avocado', 'apple', 'mango', 'lemon'] +last_index = len(fruits) - 1 +fruits[last_index] = 'lime' +print(fruits) # ['avocado', 'apple', 'mango', 'lime'] +``` + +### Buscar elementos + +Use el operador `in` para comprobar si un elemento es miembro de una lista. Véase el ejemplo. + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +does_exist = 'banana' in fruits +print(does_exist) # True +does_exist = 'lime' in fruits +print(does_exist) # False +``` + +### Agregar elementos + +Para añadir un elemento al final de una lista usamos el método `append()`. + +```py +# Sintaxis +lst = list() +lst.append(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.append('apple') +print(fruits) # ['banana', 'orange', 'mango', 'lemon', 'apple'] +fruits.append('lime') # ['banana', 'orange', 'mango', 'lemon', 'apple', 'lime'] +print(fruits) +``` + +### Insertar elementos + +Podemos usar el método *insert()* para insertar un elemento en un índice específico de la lista. Ten en cuenta que los demás elementos se desplazarán a la derecha. El método *insert()* recibe dos parámetros: el índice y el elemento a insertar. + + +```py +# Sintaxis +lst = ['item1', 'item2'] +lst.insert(index, item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.insert(2, 'apple') # inserta 'apple' entre 'orange' y 'mango' +print(fruits) # ['banana', 'orange', 'apple', 'mango', 'lemon'] +fruits.insert(3, 'lime') # ['banana', 'orange', 'apple', 'lime', 'mango', 'lemon'] +print(fruits) +``` + +### Eliminar elementos + +- Usa el método *remove()* para eliminar un elemento específico de la lista + +```py +# Sintaxis +lst = ['item1', 'item2'] +lst.remove(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon', 'banana'] +fruits.remove('banana') +print(fruits) # ['orange', 'mango', 'lemon', 'banana'] - este método elimina la primera aparición del elemento en la lista +fruits.remove('lemon') +print(fruits) # ['orange', 'mango', 'banana'] +``` + +### Eliminar con `pop()` + +Usa `pop()` para eliminar el elemento en el índice dado (si no se indica, elimina el último elemento): + +```py +# Sintaxis +lst = ['item1', 'item2'] +lst.pop() # Último elemento +lst.pop(index) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.pop() +print(fruits) # ['banana', 'orange', 'mango'] + +fruits.pop(0) +print(fruits) # ['orange', 'mango'] +``` + +### Eliminar con `del` + +Usa la palabra clave *del* para eliminar un índice específico, también puede eliminar un rango de índices o eliminar por completo la lista + + +```py +# Sintaxis +lst = ['item1', 'item2'] +del lst[index] # Elimina solo un elemento +del lst # Elimina la lista completa +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon', 'kiwi', 'lime'] +del fruits[0] +print(fruits) # ['orange', 'mango', 'lemon', 'kiwi', 'lime'] +del fruits[1] +print(fruits) # ['orange', 'lemon', 'kiwi', 'lime'] +del fruits[1:3] # elimina elementos en el rango dado; no eliminará el elemento con índice 3! +print(fruits) # ['orange', 'lime'] +del fruits +print(fruits) # Esto producirá: NameError: name 'fruits' is not defined +``` + +### Vaciar listas + +Usa `clear()` para vaciar una lista: + +```py +# Sintaxis +lst = ['item1', 'item2'] +lst.clear() +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.clear() +print(fruits) # [] +``` + +### Copiar listas + +Puedes copiar una lista reasignándola a una nueva variable: `list2 = list1`. En ese caso `list2` referencia el mismo objeto; los cambios se reflejarán en ambos. Si quieres una copia independiente usa el método `copy()`. + +```py +# Sintaxis +lst = ['item1', 'item2'] +lst_copy = lst.copy() +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits_copy = fruits.copy() +print(fruits_copy) # ['banana', 'orange', 'mango', 'lemon'] (copia de la lista) +``` + +### Unir listas + +Hay varias formas de concatenar o unir dos o más listas. + +- Suma (+) + +```py +# Sintaxis +list3 = list1 + list2 +``` + +```py +positive_numbers = [1, 2, 3, 4, 5] +zero = [0] +negative_numbers = [-5,-4,-3,-2,-1] +integers = negative_numbers + zero + positive_numbers +print(integers) # [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] +fruits = ['banana', 'orange', 'mango', 'lemon'] +vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +fruits_and_vegetables = fruits + vegetables +print(fruits_and_vegetables ) # ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +``` + +- Usar el método *extend()* +El método *extend()* puede anexar una lista a otra. Véase el ejemplo a continuación. + +```py +# Sintaxis +list1 = ['item1', 'item2'] +list2 = ['item3', 'item4', 'item5'] +list1.extend(list2) +``` + +```py +num1 = [0, 1, 2, 3] +num2= [4, 5, 6] +num1.extend(num2) +print('Numbers:', num1) # Numbers: [0, 1, 2, 3, 4, 5, 6] +negative_numbers = [-5,-4,-3,-2,-1] +positive_numbers = [1, 2, 3,4,5] +zero = [0] + +negative_numbers.extend(zero) +negative_numbers.extend(positive_numbers) +print('Integers:', negative_numbers) # Integers: [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] +fruits = ['banana', 'orange', 'mango', 'lemon'] +vegetables = ['Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +fruits.extend(vegetables) +print('Fruits and vegetables:', fruits ) # Fruits and vegetables: ['banana', 'orange', 'mango', 'lemon', 'Tomato', 'Potato', 'Cabbage', 'Onion', 'Carrot'] +``` + +### Contar elementos + +Usa el método *count()* para devolver el número de veces que aparece un elemento en la lista: + + +```py +# Sintaxis +lst = ['item1', 'item2'] +lst.count(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +print(fruits.count('orange')) # 1 +ages = [22, 19, 24, 25, 26, 24, 25, 24] +print(ages.count(24)) # 3 +``` + +### Encontrar el índice de un elemento + +El método *index()* devuelve el índice de un elemento en la lista: + +```py +# Sintaxis +lst = ['item1', 'item2'] +lst.index(item) +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +print(fruits.index('orange')) # 1 +ages = [22, 19, 24, 25, 26, 24, 25, 24] +print(ages.index(24)) # 2, primera aparición +``` + +### Invertir listas + +Usa el método *reverse()* para invertir el orden de la lista. + +```py +# Sintaxis +lst = ['item1', 'item2'] +lst.reverse() + +``` + +```py +fruits = ['banana', 'orange', 'mango', 'lemon'] +fruits.reverse() +print(fruits) # ['lemon', 'mango', 'orange', 'banana'] +ages = [22, 19, 24, 25, 26, 24, 25, 24] +ages.reverse() +print(ages) # [24, 25, 24, 26, 25, 24, 19, 22] +``` + +### Ordenar listas + +Para ordenar una lista podemos usar el método *sort()* o la función incorporada *sorted()*. El método *sort()* reordena la lista en orden ascendente y modifica la lista original. Si el parámetro reverse de *sort()* es True, ordenará la lista en orden descendente. + +- sort(): Este método modifica la lista original + + ```py + # Sintaxis + lst = ['item1', 'item2'] + lst.sort() # ascending + lst.sort(reverse=True) # descending + ``` + + **Ejemplo:** + + ```py + fruits = ['banana', 'orange', 'mango', 'lemon'] + fruits.sort() + print(fruits) # ordenadas alfabéticamente, ['banana', 'lemon', 'mango', 'orange'] + fruits.sort(reverse=True) + print(fruits) # ['orange', 'mango', 'lemon', 'banana'] + ages = [22, 19, 24, 25, 26, 24, 25, 24] + ages.sort() + print(ages) # [19, 22, 24, 24, 24, 25, 25, 26] + + ages.sort(reverse=True) + print(ages) # [26, 25, 25, 24, 24, 24, 22, 19] + ``` + + sorted(): No modifica la lista original; devuelve una nueva lista + + **Ejemplo:** + + ```py + fruits = ['banana', 'orange', 'mango', 'lemon'] + print(sorted(fruits)) # ['banana', 'lemon', 'mango', 'orange'] + # Reverse order + fruits = ['banana', 'orange', 'mango', 'lemon'] + fruits = sorted(fruits,reverse=True) + print(fruits) # ['orange', 'mango', 'lemon', 'banana'] + ``` + + + +🌕 Muy bien, has avanzado mucho. Acabas de completar el desafío del día 5. Ahora realiza algunos ejercicios para practicar. + +## 💻 Ejercicios - Día 5 + +### Ejercicios: Nivel 1 + +1. Declara una lista vacía +2. Declara una lista con más de 5 elementos +3. Encuentra la longitud de la lista +4. Obtén el primer, medio y último elemento de la lista +5. Declara una lista llamada `mixed_data_types` que contenga tu nombre, edad, altura, estado civil y dirección +6. Declara una lista `it_companies` e inicialízala con: Facebook, Google, Microsoft, Apple, IBM, Oracle y Amazon +7. Imprime la lista usando `print()` +8. Imprime el número de empresas en la lista +9. Imprime la primera, la del medio y la última empresa +10. Cambia el nombre de una de las empresas y vuelve a imprimir la lista +11. Agrega una empresa IT a `it_companies` +12. Inserta una empresa IT en la mitad de la lista +13. Cambia el nombre de una empresa en `it_companies` a mayúsculas (¡excepto IBM!) +14. Une `it_companies` en una cadena usando la cadena '#;  ' +15. Verifica si una empresa existe en `it_companies` +16. Ordena la lista usando el método `sort()` +17. Invierte la lista en orden descendente usando `reverse()` +18. Corta (slice) las primeras 3 empresas de la lista +19. Corta (slice) las últimas 3 empresas de la lista +20. Corta la(s) empresa(s) del medio de la lista +21. Elimina la primera empresa IT de la lista +22. Elimina la(s) empresa(s) del medio de la lista +23. Elimina la última empresa IT de la lista +24. Elimina todas las empresas IT de la lista +25. Destruye la lista `it_companies` +26. Concatena las siguientes listas: + + ```py + front_end = ['HTML', 'CSS', 'JS', 'React', 'Redux'] + back_end = ['Node','Express', 'MongoDB'] + ``` +27. Inserta 'Python' y 'SQL' después de `full_stack` en la lista concatenada. + +### Ejercicios: Nivel 2 + +1. A continuación, una lista con las edades de 10 estudiantes: + +```py +ages = [19, 22, 19, 24, 20, 25, 26, 24, 25, 24] +``` + +- Ordena la lista y encuentra la edad máxima y mínima +- Agrega la edad mínima y máxima nuevamente a la lista +- Encuentra la mediana de las edades (un elemento medio o el promedio de dos elementos medios) +- Encuentra la edad promedio (suma de todos los elementos dividida por su cantidad) +- Encuentra el rango de edades (máximo - mínimo) +- Compara |min - promedio| y |max - promedio| usando la función `abs()` + +1. Encuentra el país del medio en la [lista de países](https://github.com/Taki-Ta/30-Days-Of-Python-Simplified_Chinese_Version/tree/master/data/countries.py) +2. Divide la lista de países en dos listas iguales (si es par; si no, la primera lista tendrá un país más) +3. Para la lista ['China', 'Russia', 'USA', 'Finland', 'Sweden', 'Norway', 'Denmark'], separa los tres primeros países de los países nórdicos restantes. + +🎉 ¡Felicidades! 🎉 + +[<< Día 4](./04_strings_sp.md) | [Día 6 >>](./06_tuples_sp.md) diff --git a/Spanish/06_tuples_sp.md b/Spanish/06_tuples_sp.md new file mode 100644 index 000000000..e381563f0 --- /dev/null +++ b/Spanish/06_tuples_sp.md @@ -0,0 +1,258 @@ +
    +

    30 días de Python: Día 6 - Tuplas

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[<< Día 5](./05_lists_sp.md) | [Día 7 >>](./07_sets_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [Día 6](#día-6) + - [Tuplas](#tuplas) + - [Cómo crear tuplas](#cómo-crear-tuplas) + - [Longitud de la tupla](#longitud-de-la-tupla) + - [Obtener elementos de la tupla](#obtener-elementos-de-la-tupla) + - [Slicing de tuplas](#slicing-de-tuplas) + - [Convertir tupla a lista](#convertir-tupla-a-lista) + - [Comprobar si un elemento está en la tupla](#comprobar-si-un-elemento-está-en-la-tupla) + - [Unir tuplas](#unir-tuplas) + - [Eliminar tupla](#eliminar-tupla) + - [💻 Ejercicios - Día 6](#-ejercicios---día-6) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + +# Día 6 + +## Tuplas + +Una tupla es una colección ordenada e inmutable que puede contener distintos tipos de datos. Una vez creada una tupla, no podemos cambiar sus valores. No podemos usar métodos como add, insert o remove en una tupla porque no es modificable (es inmutable). A diferencia de las listas, las tuplas tienen menos métodos. Los métodos asociados a tuplas son: + +- tuple(): crea una tupla vacía +- count(): cuenta cuántas veces aparece un elemento en la tupla +- index(): busca el índice de un elemento en la tupla +- Operador +: concatena dos o más tuplas creando una nueva tupla + +### Cómo crear tuplas + +- Crear una tupla vacía + + ```py + # Sintaxis + empty_tuple = () + # o usando el constructor de tuplas + empty_tuple = tuple() + ``` + +- Crear una tupla con valores iniciales + + ```py + # Sintaxis + tpl = ('item1', 'item2','item3') + ``` + + ```py + fruits = ('banana', 'orange', 'mango', 'lemon') + ``` + + +### Longitud de la tupla + +Usamos la función _len()_ para obtener la longitud de una tupla. + +```py +# Sintaxis +tpl = ('item1', 'item2', 'item3') +len(tpl) +``` + +### Obtener elementos de la tupla + +- Índices positivos + Al igual que con las listas, usamos índices positivos o negativos para acceder a los elementos de una tupla. + ![Accessing tuple items](../images/tuples_index.png) + + ```py + # Sintaxis + tpl = ('item1', 'item2', 'item3') + first_item = tpl[0] + second_item = tpl[1] + ``` + + ```py + fruits = ('banana', 'orange', 'mango', 'lemon') + first_fruit = fruits[0] + second_fruit = fruits[1] + last_index =len(fruits) - 1 + last_fruit = fruits[las_index] + ``` + +- Índices negativos + Los índices negativos cuentan desde el final: -1 es el último elemento, -2 el penúltimo, y así sucesivamente. + ![Tuple Negative indexing](../images/tuple_negative_indexing.png) + + ```py + # Sintaxis + tpl = ('item1', 'item2', 'item3','item4') + first_item = tpl[-4] + second_item = tpl[-3] + ``` + + ```py + fruits = ('banana', 'orange', 'mango', 'lemon') + first_fruit = fruits[-4] + second_fruit = fruits[-3] + last_fruit = fruits[-1] + ``` + +### Slicing de tuplas + +Podemos extraer subtuplas especificando un rango de índices de inicio y fin; el resultado es una nueva tupla con los elementos seleccionados. + +- Rango de índices positivos + + ```py + # Sintaxis + tpl = ('item1', 'item2', 'item3','item4') + all_items = tpl[0:4] # todos los elementos + all_items = tpl[0:] # todos los elementos + middle_two_items = tpl[1:3] # no incluye el índice 3 + ``` + + ```py + fruits = ('banana', 'orange', 'mango', 'lemon') + all_fruits = fruits[0:4] # todos los elementos + all_fruits= fruits[0:] # todos los elementos + orange_mango = fruits[1:3] # no incluye el índice 3 + orange_to_the_rest = fruits[1:] + ``` + +- Rango de índices negativos + + ```py + # Sintaxis + tpl = ('item1', 'item2', 'item3','item4') + all_items = tpl[-4:] # todos los elementos + middle_two_items = tpl[-3:-1] # no incluye el índice 3 + ``` + + ```py + + fruits = ('banana', 'orange', 'mango', 'lemon') + all_fruits = fruits[-4:] # todos los elementos + orange_mango = fruits[-3:-1] # no incluye el índice 3 + orange_to_the_rest = fruits[-3:] + ``` + +### Convertir tupla a lista + +Podemos convertir una tupla en una lista y viceversa. Si queremos modificar una tupla, conviene convertirla primero en lista. + +```py +# Sintaxis +tpl = ('item1', 'item2', 'item3','item4') +lst = list(tpl) +``` + +```py +fruits = ('banana', 'orange', 'mango', 'lemon') +fruits = list(fruits) +fruits[0] = 'apple' +print(fruits) # ['apple', 'orange', 'mango', 'lemon'] +fruits = tuple(fruits) +print(fruits) # ('apple', 'orange', 'mango', 'lemon') +``` + +### Comprobar si un elemento está en la tupla + +Podemos usar el operador _in_ para comprobar si un elemento pertenece a la tupla; devuelve un valor booleano. + +```py +# Sintaxis +tpl = ('item1', 'item2', 'item3','item4') +'item2' in tpl # True +``` + +```py +fruits = ('banana', 'orange', 'mango', 'lemon') +print('orange' in fruits) # True +print('apple' in fruits) # False +fruits[0] = 'apple' # TypeError: 'tuple' object does not support item assignment +``` + + + +### Unir tuplas + +Podemos concatenar dos o más tuplas usando el operador +. + +```py +# Sintaxis +tpl1 = ('item1', 'item2', 'item3') +tpl2 = ('item4', 'item5','item6') +tpl3 = tpl1 + tpl2 +``` + +```py +fruits = ('banana', 'orange', 'mango', 'lemon') +vegetables = ('Tomato', 'Potato', 'Cabbage','Onion', 'Carrot') +fruits_and_vegetables = fruits + vegetables +``` + +### Eliminar tupla + +No se pueden eliminar elementos individuales de una tupla, pero sí se puede eliminar la tupla completa con la palabra clave _del_. + +```py +# Sintaxis +tpl1 = ('item1', 'item2', 'item3') +del tpl1 + +``` + +```py +fruits = ('banana', 'orange', 'mango', 'lemon') +del fruits +``` + + +🌕 Muy bien, lo conseguiste. Acabas de completar el desafío del día 6. Ahora realiza algunos ejercicios para practicar. + +## 💻 Ejercicios - Día 6 + +### Ejercicios: Nivel 1 + +1. Crea una tupla vacía +2. Crea una tupla con los nombres de tus hermanos y hermanas (pueden ser ficticios) +3. Concatena las tuplas de hermanos y asígnalas a `siblings` +4. ¿Cuántos hermanos tienes? +5. Modifica la tupla de `siblings` y añade los nombres de tus padres; asígnala a `family_members` + +### Ejercicios: Nivel 2 + +1. Extrae los hermanos y los padres desde `family_members` +2. Crea las tuplas `fruits`, `vegetables` y `animal_products`. Concatena las tres tuplas y asígnalas a la variable `food_stuff_tp` +3. Convierte la tupla `food_stuff_tp` en la lista `food_stuff_lt` +4. Extrae los elementos del medio desde la tupla `food_stuff_tp` o la lista `food_stuff_lt` +5. Extrae las primeras tres y las últimas tres entradas de la lista `food_stuff_lt` +6. Elimina completamente la tupla `food_stuff_tp` +7. Comprueba si existen los elementos: +- Verifica si 'Estonia' está en la tupla `nordic_countries` +- Verifica si 'Iceland' está en la tupla `nordic_countries` + + ```py + nordic_countries = ('Denmark', 'Finland','Iceland', 'Norway', 'Sweden') + ``` + + +[<< Día 5](./05_lists_sp.md) | [Día 7 >>](./07_sets_sp.md) diff --git a/Spanish/07_sets_sp.md b/Spanish/07_sets_sp.md new file mode 100644 index 000000000..c429e294f --- /dev/null +++ b/Spanish/07_sets_sp.md @@ -0,0 +1,432 @@ +
    +

    30 días de Python: Día 7 - Conjuntos

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[<< Día 6](./06_tuples_sp.md) | [Día 8 >>](./08_dictionaries_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 7](#-día-7) + - [Conjuntos](#conjuntos) + - [Crear conjuntos](#crear-conjuntos) + - [Obtener la longitud del conjunto](#obtener-la-longitud-del-conjunto) + - [Acceder a elementos del conjunto](#acceder-a-elementos-del-conjunto) + - [Comprobar elementos](#comprobar-elementos) + - [Añadir elementos al conjunto](#añadir-elementos-al-conjunto) + - [Eliminar elementos del conjunto](#eliminar-elementos-del-conjunto) + - [Vaciar el conjunto](#vaciar-el-conjunto) + - [Eliminar conjunto](#eliminar-conjunto) + - [Convertir lista a conjunto](#convertir-lista-a-conjunto) + - [Unir conjuntos](#unir-conjuntos) + - [Encontrar intersección](#encontrar-intersección) + - [Comprobar subconjuntos y superconjuntos](#comprobar-subconjuntos-y-superconjuntos) + - [Comprobar la diferencia entre conjuntos](#comprobar-la-diferencia-entre-conjuntos) + - [Encontrar diferencia simétrica](#encontrar-diferencia-simétrica) + - [Comprobar conjuntos disjuntos](#comprobar-conjuntos-disjuntos) + - [💻 Ejercicios - Día 7](#-ejercicios---día-7) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + - [Ejercicios: Nivel 3](#ejercicios-nivel-3) + +# 📘 Día 7 + +## Conjuntos + +Un conjunto es una colección de elementos. Volvamos a las clases de matemáticas de primaria o secundaria: la definición matemática de conjuntos aplica también en Python. Un conjunto es una colección desordenada y no indexada de elementos distintos. En Python, los conjuntos almacenan elementos únicos y se pueden encontrar la _unión_, la _intersección_, la _diferencia_, la _diferencia simétrica_, los _subconjuntos_, los _superconjuntos_ y los _conjuntos disjuntos_ entre conjuntos. + +### Crear conjuntos + +Usamos la función incorporada _set()_. + +- Crear un conjunto vacío + +```py +# Sintaxis +st = set() +``` + +- Crear un conjunto con elementos iniciales + +```py +# Sintaxis +st = {'item1', 'item2', 'item3', 'item4'} +``` + +**Ejemplo:** + +```py +# Sintaxis +fruits = {'banana', 'orange', 'mango', 'lemon'} +``` + +### Obtener la longitud del conjunto + +Usamos la función **len()** para obtener la longitud de un conjunto. + +```py +# Sintaxis +st = {'item1', 'item2', 'item3', 'item4'} +len(st) +``` + +**Ejemplo:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +len(fruits) + +``` + +### Acceder a elementos del conjunto + +Usamos bucles para recorrer los elementos. Veremos esto con más detalle en la sección de bucles. + +### Comprobar elementos + +Para comprobar si un elemento existe en un conjunto usamos el operador de pertenencia _in_. + +```py +# Sintaxis +st = {'item1', 'item2', 'item3', 'item4'} +print("Does set st contain item3? ", 'item3' in st) # Does set st contain item3? True +``` + +**Ejemplo:** + +```py + +fruits = {'plátano', 'naranja', 'mango', 'limón'} + +print('mango' in fruits ) # True + +``` + +### Añadir elementos al conjunto + +Una vez creado el conjunto no podemos cambiar elementos existentes, pero sí podemos añadir nuevos. + +- Usar el método _add()_ para agregar un solo elemento + +```py +# Sintaxis +st = {'item1', 'item2', 'item3', 'item4'} +st.add('item5') +``` + +**Ejemplo:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.add('lime') +``` + +- Usar el método _update()_ para agregar varios elementos + El método _update()_ permite añadir múltiples elementos; recibe un iterable como argumento. + +```py +# Sintaxis +st = {'item1', 'item2', 'item3', 'item4'} +st.update(['item5','item6','item7']) +``` + +**Ejemplo:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = ('tomato', 'potato', 'cabbage','onion', 'carrot') +fruits.update(vegetables) +``` + +### Eliminar elementos del conjunto + +Podemos usar el método _remove()_ para eliminar un elemento de un conjunto. Si el elemento no existe, _remove()_ lanzará un error; por eso es útil comprobar antes si existe. El método _discard()_ no lanzará error si el elemento no existe. + +```py +# Sintaxis +st = {'item1', 'item2', 'item3', 'item4'} +st.remove('item2') +``` + +El método _pop()_ elimina y devuelve un elemento aleatorio del conjunto. + +**Ejemplo:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.pop() # Elimina un elemento aleatorio del conjunto +``` + +Si nos interesa el elemento eliminado. + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +removed_item = fruits.pop() +``` + +### Vaciar el conjunto + +Si queremos vaciar todas las entradas de un conjunto, podemos usar el método _clear()_. + +```py +# Sintaxis +st = {'item1', 'item2', 'item3', 'item4'} +st.clear() +``` + +**Ejemplo:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +fruits.clear() +print(fruits) # set() +``` + +### Eliminar conjunto + +Si queremos eliminar el conjunto por completo, podemos usar el operador _del_. + +```py +# Sintaxis +st = {'item1', 'item2', 'item3', 'item4'} +del st +``` + +**Ejemplo:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +del fruits +``` + +### Convertir lista a conjunto + +Podemos convertir una lista en un conjunto y viceversa. Convertir una lista a conjunto elimina duplicados y conserva solo elementos únicos. + +```py +# Sintaxis +lst = ['item1', 'item2', 'item3', 'item4', 'item1'] +st = set(lst) # {'item2', 'item4', 'item1', 'item3'} - El orden es aleatorio, ya que los conjuntos son generalmente no ordenados +``` + +**Ejemplo:** + +```py +fruits = ['banana', 'orange', 'mango', 'lemon','orange', 'banana'] +fruits = set(fruits) # {'mango', 'lemon', 'banana', 'orange'} +``` + +### Unir conjuntos + +Podemos usar los métodos _union()_ o _update()_ para combinar dos conjuntos. + +- Union + Este método devuelve un nuevo conjunto + +```py +# Sintaxis +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item5', 'item6', 'item7', 'item8'} +st3 = st1.union(st2) +``` + +**Ejemplo:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = {'tomato', 'potato', 'cabbage','onion', 'carrot'} +print(fruits.union(vegetables)) # {'lemon', 'carrot', 'tomato', 'banana', 'mango', 'orange', 'cabbage', 'potato', 'onion'} +``` + +- Update + Este método inserta los elementos de un conjunto en el conjunto dado + +```py +# Sintaxis +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item5', 'item6', 'item7', 'item8'} +st1.update(st2) # Los elementos de st2 se añaden a st1 +``` + +**Ejemplo:** + +```py +fruits = {'banana', 'orange', 'mango', 'lemon'} +vegetables = {'tomato', 'potato', 'cabbage','onion', 'carrot'} +fruits.update(vegetables) +print(fruits) # {'lemon', 'carrot', 'tomato', 'banana', 'mango', 'orange', 'cabbage', 'potato', 'onion'} +``` + +### Encontrar intersección + +La intersección devuelve un conjunto con los elementos que están presentes en ambos conjuntos. Véase el ejemplo. + +```py +# Sintaxis +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item3', 'item2'} +st1.intersection(st2) # {'item3', 'item2'} +``` + +**Ejemplo:** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.intersection(even_numbers) # {0, 2, 4, 6, 8, 10} + +python = {'p', 'y', 't', 'h', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.intersection(dragon) # {'o', 'n'} +``` + +### Comprobar subconjuntos y superconjuntos + +Un conjunto puede ser subconjunto o superconjunto de otro: + +- Subconjunto: _issubset()_ +- Superconjunto: _issuperset()_ + +```py +# Sintaxis +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.issubset(st1) # True +st1.issuperset(st2) # True +``` + +**Ejemplo:** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.issubset(even_numbers) # Falso, porque es un superconjunto +whole_numbers.issuperset(even_numbers) # Verdadero + +python = {'p', 'y', 't', 'h', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.issubset(dragon) # Falso +``` + +### Comprobar la diferencia entre conjuntos + +Devuelve la diferencia entre dos conjuntos. + +```py +# Sintaxis +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.difference(st1) # set() +st1.difference(st2) # {'item1', 'item4'} => st1\st2 +``` + +**Ejemplo:** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +even_numbers = {0, 2, 4, 6, 8, 10} +whole_numbers.difference(even_numbers) # {1, 3, 5, 7, 9} + +python = {'p', 'y', 't', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.difference(dragon) # {'p', 'y', 't'} - El resultado es desordenado (propiedad de los conjuntos) +dragon.difference(python) # {'d', 'r', 'a', 'g'} +``` + +### Encontrar diferencia simétrica + +Devuelve la diferencia simétrica entre dos conjuntos. Es decir, devuelve los elementos que pertenecen a uno de los conjuntos pero no a ambos; matemáticamente: (A\B) ∪ (B\A). + +```py +# Sintaxis +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +# Significa (A\B) ∪ (B\A) +st2.symmetric_difference(st1) # {'item1', 'item4'} +``` + +**Ejemplo:** + +```py +whole_numbers = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10} +some_numbers = {1, 2, 3, 4, 5} +whole_numbers.symmetric_difference(some_numbers) # {0, 6, 7, 8, 9, 10} + +python = {'p', 'y', 't', 'h', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.symmetric_difference(dragon) # {'r', 't', 'p', 'y', 'g', 'a', 'd', 'h'} +``` + +### Comprobar conjuntos disjuntos + +Si dos conjuntos no comparten elementos se dicen disjuntos. Podemos usar el método _isdisjoint()_ para comprobar si dos conjuntos son disjuntos. + +```py +# Sintaxis +st1 = {'item1', 'item2', 'item3', 'item4'} +st2 = {'item2', 'item3'} +st2.isdisjoint(st1) # Falso +``` + +**Ejemplo:** + +```py +even_numbers = {0, 2, 4, 6, 8} +odd_numbers = {1, 3, 5, 7, 9} +even_numbers.isdisjoint(odd_numbers) # Verdadero, porque no comparten elementos + +python = {'p', 'y', 't', 'h', 'o', 'n'} +dragon = {'d', 'r', 'a', 'g', 'o', 'n'} +python.isdisjoint(dragon) # Falso, comparten {'o', 'n'} +``` + +🌕 Eres una estrella en ascenso. Acabas de completar el desafío del día 7. Ahora realiza algunos ejercicios para practicar. + +## 💻 Ejercicios - Día 7 + +```py +# Conjuntos +it_companies = {'Facebook', 'Google', 'Microsoft', 'Apple', 'IBM', 'Oracle', 'Amazon'} +A = {19, 22, 24, 20, 25, 26} +B = {19, 22, 20, 25, 26, 24, 28, 27} +age = [22, 19, 24, 25, 26, 24, 25, 24] +``` + +### Ejercicios: Nivel 1 + +1. Encuentra la longitud del conjunto `it_companies` +2. Agrega 'Twitter' a `it_companies` +3. Inserta varias empresas IT a `it_companies` de una sola vez +4. Elimina una empresa de `it_companies` +5. ¿Cuál es la diferencia entre `remove()` y `discard()`? + +### Ejercicios: Nivel 2 + +1. Concatena A y B +2. Encuentra la intersección entre A y B +3. ¿Es A un subconjunto de B? +4. ¿Son A y B conjuntos disjuntos? +5. Combina A con B y viceversa +6. ¿Cuál es la diferencia simétrica entre A y B? +7. Elimina un conjunto por completo + +### Ejercicios: Nivel 3 + +1. Convierte la lista de edades a un conjunto y compara la longitud de la lista y la del conjunto: ¿cuál es mayor? +2. Explica la diferencia entre estos tipos de datos: cadena, lista, tupla y conjunto +3. Para la frase _"Soy profesor, me gusta motivar y enseñar a las personas."_ ¿cuántas palabras únicas tiene? Usa `split()` y conjuntos para obtener las palabras únicas. + +🎉 ¡Felicidades! 🎉 + +[<< Día 6](./06_tuples_sp.md) | [Día 8 >>](./08_dictionaries_sp.md) diff --git a/Spanish/08_dictionaries_sp.md b/Spanish/08_dictionaries_sp.md new file mode 100644 index 000000000..30c9f5add --- /dev/null +++ b/Spanish/08_dictionaries_sp.md @@ -0,0 +1,343 @@ +
    +

    30 días de Python: Día 8 - Diccionarios

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[<< Día 7](./07_sets_sp.md) | [Día 9 >>](./09_conditionals_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 8](#-día-8) + - [Diccionarios](#diccionarios) + - [Crear diccionarios](#crear-diccionarios) + - [Longitud del diccionario](#longitud-del-diccionario) + - [Acceder a elementos del diccionario](#acceder-a-elementos-del-diccionario) + - [Añadir elementos al diccionario](#añadir-elementos-al-diccionario) + - [Modificar elementos del diccionario](#modificar-elementos-del-diccionario) + - [Comprobar claves en el diccionario](#comprobar-claves-en-el-diccionario) + - [Eliminar pares clave-valor del diccionario](#eliminar-pares-clave-valor-del-diccionario) + - [Convertir diccionario a lista de tuplas](#convertir-diccionario-a-lista-de-tuplas) + - [Vaciar diccionario](#vaciar-diccionario) + - [Eliminar diccionario](#eliminar-diccionario) + - [Copiar diccionario](#copiar-diccionario) + - [Convertir claves a lista](#convertir-claves-a-lista) + - [Convertir valores a lista](#convertir-valores-a-lista) + - [💻 Ejercicios - Día 8](#-ejercicios---día-8) + +# 📘 Día 8 + +## Diccionarios + +Un diccionario es un tipo de datos compuesto por pares clave-valor desordenados y modificables (mutables). + +### Crear diccionarios + +Para crear diccionarios, usamos llaves {} o la función incorporada _dict()_. + +```py +# Sintaxis +empty_dict = {} +# Diccionario con valores +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +``` + +**Ejemplo:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +``` + +El diccionario anterior muestra que los valores pueden ser de cualquier tipo de datos: cadenas, booleanos, listas, tuplas, conjuntos o diccionarios. + +### Longitud del diccionario + +Esta función comprueba la cantidad de pares clave-valor en el diccionario. + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(len(dct)) # 4 +``` + +**Ejemplo:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(len(person)) # 7 + +``` + +### Acceder a elementos del diccionario + +Podemos acceder a los elementos del diccionario referenciando sus claves. + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct['key1']) # value1 +print(dct['key4']) # value4 +``` + +**Ejemplo:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(person['first_name']) # Asabeneh +print(person['country']) # Finland +print(person['skills']) # ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'] +print(person['skills'][0]) # JavaScript +print(person['address']['street']) # Space street +print(person['city']) # Error +``` + +Cuando se accede a un elemento por clave, si la clave no existe se lanzará un error. Para evitarlo, primero compruebe si existe la clave o use el método _get_. El método get devuelve None si la clave no existe (que es un objeto de tipo NoneType). + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } + } +print(person.get('first_name')) # Asabeneh +print(person.get('country')) # Finland +print(person.get('skills')) #['HTML','CSS','JavaScript', 'React', 'Node', 'MongoDB', 'Python'] +print(person.get('city')) # None +``` + +### Añadir elementos al diccionario + +Podemos añadir nuevos pares clave-valor al diccionario + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct['key5'] = 'value5' +``` + +**Ejemplo:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +person['job_title'] = 'Instructor' +person['skills'].append('HTML') +print(person) +``` + +### Modificar elementos del diccionario + +Podemos modificar elementos del diccionario + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct['key1'] = 'value-one' +``` + +**Ejemplo:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +person['first_name'] = 'Eyob' +person['age'] = 252 +``` + +### Comprobar claves en el diccionario + +Usamos el operador _in_ para comprobar si una clave existe en el diccionario + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print('key2' in dct) # True +print('key5' in dct) # False +``` + +### Eliminar pares clave-valor del diccionario + +- _pop(key)_: elimina el elemento con la clave especificada +- _popitem()_: elimina el último elemento +- _del_: elimina el elemento con la clave especificada + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct.pop('key1') # elimina el elemento key1 +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct.popitem() # elimina el último elemento +del dct['key2'] # elimina el elemento key2 +``` + +**Ejemplo:** + +```py +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_married':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +person.pop('first_name') # elimina el elemento first_name +person.popitem() # elimina el último elemento +del person['is_married'] # elimina el elemento is_married +``` + +### Convertir diccionario a lista de tuplas + +El método _items()_ convierte el diccionario en una lista de tuplas. + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct.items()) # dict_items([('key1', 'value1'), ('key2', 'value2'), ('key3', 'value3'), ('key4', 'value4')]) +``` + +### Vaciar diccionario + +Si no necesitamos los elementos del diccionario, podemos usar el método _clear()_ para vaciarlo + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +print(dct.clear()) # None +``` + +### Eliminar diccionario + +Si ya no necesitamos el diccionario, podemos eliminarlo por completo + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +del dct +``` + +### Copiar diccionario + +Podemos usar el método _copy()_ para copiar un diccionario. Usar copy evita que el diccionario original sea modificado. + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +dct_copy = dct.copy() # {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +``` + +### Obtener lista de claves del diccionario + +El método keys() nos da una lista con todas las claves del diccionario. + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +keys = dct.keys() +print(keys) # dict_keys(['key1', 'key2', 'key3', 'key4']) +``` + +### Obtener lista de valores del diccionario + +El método values() nos da una lista con todos los valores del diccionario. + +```py +# Sintaxis +dct = {'key1':'value1', 'key2':'value2', 'key3':'value3', 'key4':'value4'} +values = dct.values() +print(values) # dict_values(['value1', 'value2', 'value3', 'value4']) +``` + +🌕 ¡Bien hecho! Ahora dominas las potentes capacidades de los diccionarios. Has completado el desafío del Día 8, estás un paso más cerca del éxito. Ahora ejercita tu mente y tu cuerpo. + +## 💻 Ejercicios - Día 8 + +1. Crea un diccionario vacío llamado dog +2. Añade las claves name, color, breed, legs y age al diccionario dog +3. Crea un diccionario student con las claves first_name, last_name, gender, age, marital status, skills, country, city y address +4. Obtén la longitud del diccionario student +5. Obtén el valor de skills y comprueba su tipo; debe ser una lista +6. Modifica skills añadiendo una o dos habilidades +7. Obtén la lista de claves del diccionario +8. Obtén la lista de valores del diccionario +9. Usa el método _items()_ para convertir el diccionario en una lista de tuplas +10. Elimina un elemento del diccionario +11. Elimina uno de los diccionarios + +🎉 ¡Felicidades! 🎉 + +[<< Día 7](./07_sets_sp.md) | [Día 9 >>](./09_conditionals_sp.md) diff --git a/Spanish/09_conditionals_sp.md b/Spanish/09_conditionals_sp.md new file mode 100644 index 000000000..6f84f3abf --- /dev/null +++ b/Spanish/09_conditionals_sp.md @@ -0,0 +1,283 @@ +
    +

    30 días de Python: Día 9 - Sentencias condicionales

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    +Segunda edición: julio de 2021 +     + +
    + +[<< Día 8](./08_dictionaries_sp.md) | [Día 10 >>](./10_loops_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 9](#-día-9) + - [Sentencias condicionales](#sentencias-condicionales) + - [Condición If](#condición-if) + - [If Else](#if-else) + - [If Elif Else](#if-elif-else) + - [Abreviación](#abreviación) + - [Condicionales anidados](#condicionales-anidados) + - [If y operadores lógicos](#if-y-operadores-lógicos) + - [If y operador lógico Or](#if-y-operador-lógico-or) + - [💻 Ejercicios - Día 9](#-ejercicios---día-9) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + +# 📘 Día 9 + +## Sentencias condicionales + +Por defecto, las sentencias en un script de Python se ejecutan secuencialmente de arriba hacia abajo. Si la lógica lo requiere, podemos cambiar el orden de dos maneras: + +- Ejecución condicional: si una expresión es verdadera, se ejecutan uno o más bloques de código +- Ejecución repetitiva: mientras una expresión sea verdadera, se repiten uno o más bloques de código. En esta sección discutiremos las sentencias *if*, *else* y *elif*. Los operadores de comparación y lógicos vistos antes serán útiles aquí. + +### Condición If + +En Python y otros lenguajes, la palabra clave *if* se usa para comprobar si una condición es verdadera y ejecutar un bloque de código. Recuerda la indentación después de los dos puntos. + +```py +# Sintaxis +if condition: + # Si la condición es verdadera, ejecutar este bloque de código +``` + +**Ejemplo 1** + +```py +a = 3 +if a > 0: + print('A es un número positivo') +# A es un número positivo +``` + +Como se muestra arriba, 3 es mayor que 0. La condición es verdadera y se ejecuta el bloque de código. Si la condición fuera falsa, no veríamos resultado; para manejar condiciones falsas usamos el bloque *else*. + +### If Else + +Si la condición es verdadera se ejecuta el primer bloque, de lo contrario se ejecuta el bloque *else*. + +```py +# Sintaxis +if condition: + # Si la condición es verdadera, ejecutar este bloque +else: + # Si la condición es falsa, ejecutar este bloque +``` + +**Ejemplo:** + +```py +a = 3 +if a < 0: + print('A es un número negativo') +else: + print('A es un número positivo') +``` + +La condición anterior es falsa, por eso se ejecuta el bloque *else*. ¿Y si tenemos más de dos condiciones? Podemos usar *elif*. + +### If Elif Else + +En la vida tomamos decisiones cada día que implican más de una condición. En programación, cuando tenemos múltiples condiciones, usamos *elif*. + +```py +# Sintaxis +if condition: + # código +elif condition: + # código +else: + # código +``` + +**Ejemplo:** + +```py +a = 0 +if a > 0: + print('A es un número positivo') +elif a < 0: + print('A es un número negativo') +else: + print('A es cero') +``` + +### Abreviación + +```py +# Sintaxis + if condición else +``` + +**Ejemplo:** + +```py +a = 3 +print('A es positivo') if a > 0 else print('A es negativo') # Se cumple la primera condición, imprimirá 'A es positivo' +``` + +### Condicionales anidados + +Los condicionales pueden anidarse. + +```py +# Sintaxis +if condición: + # código + if condición: + # código +``` + +**Ejemplo:** + +```py +a = 0 +if a > 0: + if a % 2 == 0: + print('A es un número positivo y par') + else: + print('A es un número positivo') +elif a == 0: + print('A es cero') +else: + print('A es un número negativo') +``` + +Podemos usar el operador lógico *and* para evitar escribir condicionales anidados. + +### If y operadores lógicos + +```py +# Sintaxis +if condición and condición: + # código +``` + +**Ejemplo:** + +```py +a = 0 +if a > 0 and a % 2 == 0: + print('A es un número positivo y par') +elif a > 0 and a % 2 != 0: + print('A es un número positivo') +elif a == 0: + print('A es cero') +else: + print('A es un número negativo') +``` + +### If y operador lógico Or + +```py +# Sintaxis +if condición or condición: + # código +``` + +**Ejemplo:** + +```py +user = 'James' +access_level = 3 +if user == 'admin' or access_level >= 4: + print('Acceso concedido!') +else: + print('Acceso denegado!') +``` + +🌕 Lo estás haciendo muy bien. Nunca te rindas; las cosas grandiosas requieren tiempo. Acabas de completar el desafío del Día 9; estás a 9 pasos en tu camino hacia lo grande. Haz ahora algunos ejercicios para entrenar tu mente y tu cuerpo. + +## 💻 Ejercicios - Día 9 + +### Ejercicios: Nivel 1 + +1. Usa input para obtener la edad del usuario (por ejemplo: "Introduce tu edad:"). Si el usuario tiene 18 años o más, muestra: 'Ya tienes la edad suficiente para aprender a conducir.' Si es menor, muestra cuántos años le faltan. Ejemplo de salida: + + ```sh + Introduce tu edad: 30 + Ya tienes la edad suficiente para aprender a conducir. + Salida: + Introduce tu edad: 15 + Aún necesitas esperar 3 años para aprender a conducir. + ``` + +2. Usa if…else para comparar my_age y your_age. ¿Quién es mayor (yo o tú)? Usa input("Introduce tu edad:") para obtener la edad. Puedes usar condicionales anidados para imprimir 'año' cuando la diferencia sea 1, 'años' para diferencias mayores, y un mensaje personalizado si my_age = your_age. Salida de ejemplo: + + ```sh + Introduce tu edad: 30 + Tienes 5 años más que yo. + ``` + +3. Pide al usuario dos números con input. Si a > b, imprime 'a es mayor que b'; si a < b, imprime 'a es menor que b'; si son iguales, imprime 'a es igual a b'. + +```sh +Introduce el primer número: 4 +Introduce el segundo número: 3 +4 es mayor que 3 +``` + +### Ejercicios: Nivel 2 + +1. Escribe un código que asigne una calificación según la nota del estudiante: + + ```sh + 80-100, A + 70-79, B + 60-69, C + 50-59, D + 0-49, F + ``` + +2. Comprueba si es otoño, invierno, primavera o verano. Si el usuario introduce: + Septiembre, Octubre o Noviembre → otoño. + Diciembre, Enero o Febrero → invierno. + Marzo, Abril o Mayo → primavera. + Junio, Julio u Agosto → verano. +3. La siguiente lista contiene algunas frutas: + + ```py + fruits = ['banana', 'orange', 'mango', 'lemon'] + ``` + + Si una fruta no está en la lista, añádela e imprime la lista modificada. Si ya existe, imprime 'La fruta ya está en la lista'. + +### Ejercicios: Nivel 3 + +1. Aquí hay un diccionario persona. ¡Siéntete libre de modificarlo! + +```py +person = { + 'first_name': 'Asabeneh', + 'last_name': 'Yetayeh', + 'age': 250, + 'country': 'Finlandia', + 'is_married': True, + 'skills': ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address': { + 'street': 'Calle Espacial', + 'zipcode': '02210' + } +} +``` + +- Comprueba si existe la clave skills en el diccionario; si existe, imprime la habilidad central de la lista skills. +- Comprueba si existe la clave skills; si existe, verifica si la persona tiene la habilidad 'Python' e imprime el resultado. +- Si las habilidades son sólo JavaScript y React, imprime 'Es desarrollador frontend'; si incluyen Node, Python y MongoDB, imprime 'Es desarrollador backend'; si incluyen React, Node y MongoDB, imprime 'Es desarrollador full-stack'; en caso contrario, imprime 'Título desconocido' — puedes anidar más condiciones para mayor precisión. +- Si la persona está casada y vive en Finlandia, imprime la siguiente línea: + +```py +print('Asabeneh Yetayeh vive en Finlandia. Está casado.') +``` + +🎉 ¡Felicidades! 🎉 + +[<< Día 8](./08_dictionaries_sp.md) | [Día 10 >>](./10_loops_sp.md) diff --git a/Spanish/10_loops_sp.md b/Spanish/10_loops_sp.md new file mode 100644 index 000000000..9761fa5eb --- /dev/null +++ b/Spanish/10_loops_sp.md @@ -0,0 +1,451 @@ +
    +

    30 días de Python: Día 10 - Bucles

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[<< Día 9](./09_conditionals_sp.md) | [Día 11 >>](./11_functions_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + + +- [📘 Día 10](#-día-10) + - [Bucles](#bucles) + - [Bucle while](#bucle-while) + - [break y continue - parte 1](#break-y-continue---parte-1) + - [Bucle for](#bucle-for) + - [break y continue - parte 2](#break-y-continue---parte-2) + - [Función range()](#función-range) + - [Bucles for anidados](#bucles-for-anidados) + - [for y else](#for-y-else) + - [Sentencia pass](#sentencia-pass) + - [💻 Ejercicios - Día 10](#-ejercicios---día-10) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + - [Ejercicios: Nivel 3](#ejercicios-nivel-3) + +# 📘 Día 10 + +## Bucles + +La vida está llena de ciclos. En programación realizamos muchas tareas repetitivas. Los lenguajes de programación usan bucles para gestionar tareas repetitivas; en Python hay principalmente dos tipos de bucles: +1. Bucle while +2. Bucle for + +### Bucle while + +Usamos la palabra clave `while` para crear un bucle while. Repite un bloque de código mientras la condición se cumpla. Cuando la condición se vuelve falsa, el bucle termina y se ejecuta el código que sigue. + +```python +# Sintaxis +while condition: + # código +``` + +**Ejemplo:** + +```python +count = 0 +while count < 5: + print(count) + count = count + 1 +# prints from 0 to 4 +``` + +En el bucle anterior, cuando count llegue a 5 la condición se vuelve falsa y el bucle se detiene. + +Si queremos ejecutar un bloque cuando la condición sea falsa, podemos usar la palabra clave `else`. + +```python + # syntax +while condition: + code goes here +else: + code goes here +``` + +**Ejemplo:** + +```python +count = 0 +while count < 5: + print(count) + count = count + 1 +else: + print(count) +``` + +Cuando count sea 5 la condición será falsa, el bucle terminará y se ejecutará el bloque else; por tanto se imprimirá 5. + +### break y continue - parte 1 + +* break: cuando queremos salir del bucle usamos la palabra clave \break`.` + +```python +# syntax +while condition: + code goes here + if another_condition: + break +``` + +**Example:** + +```python +count = 0 +while count < 5: + print(count) + count = count + 1 + if count == 3: + break +``` +El while anterior solo imprimirá 0, 1, 2; cuando count llegue a 3 el bucle terminará. +- Continue: cuando queremos saltarnos la iteración actual y continuar con la siguiente usamos la palabra clave `continue`. + +```python + # syntax +while condition: + code goes here + if another_condition: + continue +``` + +**Ejemplo:** + +```python +count = 0 +while count < 5: + if count == 3: + count = count + 1 + continue + print(count) + count = count + 1 +``` + +El while anterior imprimirá 0, 1, 2, 4 (3 se saltó). + +### Bucle for + +La palabra clave `for` se usa para crear bucles for. Es similar a otros lenguajes, pero con diferencias sintácticas. Se usa para iterar sobre secuencias (listas, tuplas, diccionarios, conjuntos, cadenas, etc.). + +- Bucle for para listas + +```python +# syntax +for iterator in lst: + code goes here +``` + +**Ejemplo:** + +```python +numbers = [0, 1, 2, 3, 4, 5] +for number in numbers: # number es un nombre temporal que referencia el elemento de la lista dentro del bucle + print(number) # number se imprimirá línea por línea, de 0 a 5 +``` + +- Bucle for para cadenas + +```python +# syntax +for iterator in string: + code goes here +``` + +**Ejemplo:** + +```python +language = 'Python' +for letter in language: + print(letter) + +for i in range(len(language)): + print(language[i]) +``` + +- Bucle for para tuplas + +```python +# syntax +for iterator in tpl: + code goes here +``` + +**Ejemplo:** + +```python +numbers = (0, 1, 2, 3, 4, 5) +for number in numbers: + print(number) +``` + +- Bucle for para diccionarios + Al iterar, se recorrerán las claves del diccionario. + +```python + # syntax +for iterator in dct: + code goes here +``` + +**Ejemplo:** + +```python +person = { + 'first_name':'Asabeneh', + 'last_name':'Yetayeh', + 'age':250, + 'country':'Finland', + 'is_marred':True, + 'skills':['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address':{ + 'street':'Space street', + 'zipcode':'02210' + } +} +for key in person: + print(key) # sólo imprime las claves + +for key, value in person.items(): + print(key, value) # así podemos acceder a claves y valores durante la iteración +``` + +- Bucle for para conjuntos + +```python +# syntax +for iterator in st: + code goes here +``` + +**Ejemplo:** + +```python +it_companies = {'Facebook', 'Google', 'Microsoft', 'Apple', 'IBM', 'Oracle', 'Amazon'} +for company in it_companies: + print(company) +``` + +### break y continue - parte 2 + +Pista: +_break_: cuando queremos terminar el bucle antes de completarlo usamos `break`. + +```python +# syntax +for iterator in sequence: + code goes here + if condition: + break +``` + +**Ejemplo:** + +```python +numbers = (0,1,2,3,4,5) +for number in numbers: + print(number) # imprime 0, 1, 2, 3 + if number == 3: + break +``` +En el ejemplo anterior, cuando number sea 3 el bucle terminará. + +_continue_: cuando queremos saltarnos la iteración actual y continuar con la siguiente usamos la palabra clave `continue`. + +```python + # syntax +for iterator in sequence: + code goes here + if condition: + continue +``` + +**Ejemplo:** + +```python +numbers = (0,1,2,3,4,5) +for number in numbers: + print(number) + if number == 3: + continue + print('Next number should be ', number + 1) if number != 5 else print("loop's end") # En resumen: para condiciones cortas se puede usar if y else en línea +print('outside the loop') +``` +En el ejemplo anterior, cuando number es 3, las instrucciones posteriores dentro del bucle se saltan y si hay más elementos por recorrer, continúa con la siguiente iteración. + +### Función range() + +La función `range()` genera una secuencia de números. La forma _range(start, end, step)_ acepta tres parámetros: inicio, fin y paso. Por defecto inicio es 0 y el paso es 1. Se necesita al menos un parámetro (el valor de fin). + +Usando `range()` para generar secuencias + +```python +lst = list(range(11)) +print(lst) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +st = set(range(1, 11)) # start y stop, paso por defecto 1 +print(st) # {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} + +lst = list(range(0,11,2)) +print(lst) # [0, 2, 4, 6, 8, 10] +st = set(range(0,11,2)) +print(st) # {0, 2, 4, 6, 8, 10} +``` + +```python +# syntax +for iterator in range(start, end, step): +``` + +**Ejemplo:** + +```python +for number in range(11): + print(number) # imprime 0 a 10, no incluye 11. +``` + +### Bucles for anidados + +Podemos anidar un bucle dentro de otro; a esto se le llama bucle anidado. + +```python +# syntax +for x in y: + for t in x: + print(t) +``` + +**Ejemplo:** + +```python +person = { + 'first_name': 'Asabeneh', + 'last_name': 'Yetayeh', + 'age': 250, + 'country': 'Finland', + 'is_marred': True, + 'skills': ['JavaScript', 'React', 'Node', 'MongoDB', 'Python'], + 'address': { + 'street': 'Space street', + 'zipcode': '02210' + } +} +for key in person: + if key == 'skills': + for skill in person['skills']: + print(skill) +``` + +### for y else + +Si queremos ejecutar un bloque de código al terminar el bucle, podemos usar la palabra clave `else`. + +```python +# syntax +for iterator in range(start, end, step): + do something +else: + print('The loop ended') +``` + +**Ejemplo:** + +```python +for number in range(11): + print(number) # prints 0 to 10, not including 11 +else: + print('The loop stops at', number) +``` + +### Sentencia pass + +En Python, cuando se requiere una instrucción (por ejemplo después de `:`) pero no queremos ejecutar código, usamos `pass` para evitar errores. También sirve como marcador para rellenar más adelante. + +**Ejemplo:** + +```python +for number in range(6): + pass +``` + +🌕 Has dado un gran paso — ¡bien hecho! Acabas de completar el desafío del Día 10; estás a 10 pasos en tu camino hacia lo grande. Ahora hagamos algunos ejercicios para entrenar la mente y los músculos. + +## 💻 Ejercicios - Día 10 + +### Ejercicios: Nivel 1 + +1. Implementa iteraciones de 0 a 10 usando while y for. +2. Implementa iteraciones de 10 a 0 usando while y for. +3. Escribe un bucle que llame a `print()` 7 veces para producir este triángulo: + ```py + # + ## + ### + #### + ##### + ###### + ####### + ``` + +4. Usa bucles anidados para producir la siguiente salida: + + ```sh + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + # # # # # # # # + ``` +5. Usando un bucle, produce la siguiente salida: + ```sh + 0 x 0 = 0 + 1 x 1 = 1 + 2 x 2 = 4 + 3 x 3 = 9 + 4 x 4 = 16 + 5 x 5 = 25 + 6 x 6 = 36 + 7 x 7 = 49 + 8 x 8 = 64 + 9 x 9 = 81 + 10 x 10 = 100 + ``` +6. Recorre con for la lista `['Python', 'Numpy','Pandas','Django', 'Flask']` e imprime cada elemento. +7. Recorre con for de 0 a 100 e imprime todos los números pares. +8. Recorre con for de 0 a 100 e imprime todos los números impares. + +### Ejercicios: Nivel 2 + +1. Usa un for para sumar los números de 0 a 100. + ```sh + The sum of all numbers is 5050. + ``` +2. Usa un for para sumar por separado los impares y los pares de 0 a 100. + ```sh + The sum of all odd numbers is 2500. And the sum of all even numbers is 2550. + ``` + +### Ejercicios: Nivel 3 + +1. Ve a la carpeta data y usa el archivo [countries.py](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries.py). Itera los países y extrae aquellos que contienen la cadena `land`. +2. Dada la lista `fruits = ['banana', 'orange', 'mango', 'lemon']`, invierte los elementos usando un bucle. +3. Ve a la carpeta data y usa el archivo [countries-data.py](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries-data.py). + 1. ¿Cuántos idiomas distintos hay en los datos? + 2. ¿Cuál es el idioma usado por más países? + 3. Encuentra los diez países con mayor población. + +🎉 ¡Felicidades! 🎉 + +[<< Día 9](./09_conditionals_sp.md) | [Día 11 >>](./11_functions_sp.md) \ No newline at end of file diff --git a/Spanish/11_functions_sp.md b/Spanish/11_functions_sp.md new file mode 100644 index 000000000..75a9c716e --- /dev/null +++ b/Spanish/11_functions_sp.md @@ -0,0 +1,458 @@ +
    +

    30 Días de Python: Día 11 - Funciones

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[<< Día 10](./10_loops_sp.md) | [Día 12 >>](./12_modules_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 11](#-día-11) + - [Funciones](#funciones) + - [Definir funciones](#definir-funciones) + - [Declarar y llamar a una función](#declarar-y-llamar-a-una-función) + - [Función sin parámetros](#función-sin-parámetros) + - [Funciones que retornan valores - Parte 1](#funciones-que-retornan-valores---parte-1) + - [Funciones con parámetros](#funciones-con-parámetros) + - [Pasar argumentos por clave y valor](#pasar-argumentos-por-clave-y-valor) + - [Funciones que retornan valores - Parte 2](#funciones-que-retornan-valores---parte-2) + - [Funciones con parámetros por defecto](#funciones-con-parámetros-por-defecto) + - [Número arbitrario de argumentos](#número-arbitrario-de-argumentos) + - [Parámetros por defecto y arbitrarios en funciones](#parámetros-por-defecto-y-arbitrarios-en-funciones) + - [Función como parámetro de otra función](#función-como-parámetro-de-otra-función) + - [💻 Ejercicios: Día 11](#-ejercicios-día-11) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + - [Ejercicios: Nivel 3](#ejercicios-nivel-3) + +# 📘 Día 11 + +## Funciones + +Hasta ahora hemos aprendido muchas funciones integradas de Python. En esta sección nos centraremos en funciones definidas por el usuario. ¿Qué es una función? Antes de crear funciones, entendamos qué es y por qué las necesitamos. + +### Definir funciones + +Una función es un bloque de código reutilizable o una sentencia de programación que realiza una tarea específica. Para definir o declarar una función, Python provee la palabra clave def. La sintaxis para definir funciones es la siguiente. El código dentro de la función solo se ejecuta cuando la llamamos o la invocamos. + +### Declarar y llamar a una función + +Cuando creamos una función, decimos que la declaramos. Cuando la usamos, decimos que la llamamos o invocamos. Las funciones pueden tener parámetros o no. + +```py +# Sintaxis +# Declarar una función +def function_name(): + codes + codes +# Llamar a una función +function_name() +``` + +### Función sin parámetros + +Una función puede declararse sin parámetros. + +**Ejemplo:** + +```py +def generate_full_name (): + first_name = 'Asabeneh' + last_name = 'Yetayeh' + space = ' ' + full_name = first_name + space + last_name + print(full_name) +generate_full_name () # Llamar a una función + +def add_two_numbers (): + num_one = 2 + num_two = 3 + total = num_one + num_two + print(total) +add_two_numbers() +``` + +### Funciones que retornan valores - Parte 1 + +Una función también puede devolver un valor; si una función no tiene return, devuelve None. Reescribamos las funciones anteriores usando return. A partir de ahora, cuando llamemos a la función y la imprimamos, obtendremos un valor. + +```py +def generate_full_name (): + first_name = 'Asabeneh' + last_name = 'Yetayeh' + space = ' ' + full_name = first_name + space + last_name + return full_name +print(generate_full_name()) + +def add_two_numbers (): + num_one = 2 + num_two = 3 + total = num_one + num_two + return total +print(add_two_numbers()) +``` + +### Funciones con parámetros + +En una función podemos pasar diferentes tipos de datos (números, cadenas, booleanos, listas, tuplas, diccionarios o sets) como parámetros. + +- Parámetro único: si una función necesita un parámetro, la llamamos con un argumento. + +```py + # Sintaxis + # Declarar una función + def function_name(parameter): + codes + codes + # Llamar a la función + print(function_name(argument)) +``` + +**Ejemplo:** + +```py +def greetings (name): + message = name + ', welcome to Python for Everyone!' + return message + +print(greetings('Asabeneh')) + +def add_ten(num): + ten = 10 + return num + ten +print(add_ten(90)) + +def square_number(x): + return x * x +print(square_number(2)) + +def area_of_circle (r): + PI = 3.14 + area = PI * r ** 2 + return area +print(area_of_circle(10)) + +def sum_of_numbers(n): + total = 0 + for i in range(n+1): + total+=i + print(total) +print(sum_of_numbers(10)) # 55 +print(sum_of_numbers(100)) # 5050 +``` + +- Dos parámetros: una función puede no tener parámetros o tener uno o varios. Si necesita dos parámetros, la llamamos con dos argumentos. + +```py + # Sintaxis + # Declarar una función + def function_name(para1, para2): + codes + codes + # Llamar a la función + print(function_name(arg1, arg2)) +``` + +**Ejemplo:** + +```py +def generate_full_name (first_name, last_name): + space = ' ' + full_name = first_name + space + last_name + return full_name +print('Full Name: ', generate_full_name('Asabeneh','Yetayeh')) + +def sum_two_numbers (num_one, num_two): + sum = num_one + num_two + return sum +print('Sum of two numbers: ', sum_two_numbers(1, 9)) + +def calculate_age (current_year, birth_year): + age = current_year - birth_year + return age; + +print('Age: ', calculate_age(2021, 1819)) + +def weight_of_object (mass, gravity): + weight = str(mass * gravity)+ ' N' # El valor necesita convertirse a cadena primero + return weight +print('Weight of an object in Newtons: ', weight_of_object(100, 9.81)) +``` + +### Pasar argumentos por clave y valor + +Si pasamos argumentos por clave=valor, el orden de los parámetros no importa. + +```py +# Sintaxis +# Declarar una función +def function_name(para1, para2): + codes + codes +# Llamar a la función +print(function_name(para1 = 'John', para2 = 'Doe')) # el orden de los parámetros no importa +``` + +**Ejemplo:** + +```py +def print_fullname(firstname, lastname): + space = ' ' + full_name = firstname + space + lastname + print(full_name) +print(print_fullname(firstname = 'Asabeneh', lastname = 'Yetayeh')) + +def add_two_numbers (num1, num2): + total = num1 + num2 + print(total) +print(add_two_numbers(num2 = 3, num1 = 2)) # el orden no importa +``` + +### Funciones que retornan valores - Parte 2 + +Si no retornamos un valor en una función, por defecto devuelve _None_. Para devolver un valor usamos la palabra clave _return_ seguida de la variable a retornar. Podemos devolver cualquier tipo de dato desde una función. + +- Devolver cadenas: + **Ejemplo:** + +```py +def print_name(firstname): + return firstname +print_name('Asabeneh') # Asabeneh + +def print_full_name(firstname, lastname): + space = ' ' + full_name = firstname + space + lastname + return full_name +print_full_name(firstname='Asabeneh', lastname='Yetayeh') +``` + +- Devolver números: + +**Ejemplo:** + +```py +def add_two_numbers (num1, num2): + total = num1 + num2 + return total +print(add_two_numbers(2, 3)) + +def calculate_age (current_year, birth_year): + age = current_year - birth_year + return age; +print('Age: ', calculate_age(2019, 1819)) +``` + +- Devolver booleanos: + **Ejemplo:** + +```py +def is_even (n): + if n % 2 == 0: + print('even') + return True # la instrucción return detiene la ejecución adicional en la función + return False +print(is_even(10)) # True +print(is_even(7)) # False +``` + +- Devolver listas: + **Ejemplo:** + +```py +def find_even_numbers(n): + evens = [] + for i in range(n + 1): + if i % 2 == 0: + evens.append(i) + return evens +print(find_even_numbers(10)) +``` + +### Funciones con parámetros por defecto + +A veces pasamos valores por defecto a los parámetros. Si no proporcionamos un argumento al llamar la función, se usa el valor por defecto. + +```py +# Sintaxis +# Declarar una función +def function_name(param = value): + codes + codes +# Llamar a la función +function_name() +function_name(arg) +``` + +**Ejemplo:** + +```py +def greetings (name = 'Peter'): + message = name + ', welcome to Python for Everyone!' + return message +print(greetings()) +print(greetings('Asabeneh')) + +def generate_full_name (first_name = 'Asabeneh', last_name = 'Yetayeh'): + space = ' ' + full_name = first_name + space + last_name + return full_name + +print(generate_full_name()) +print(generate_full_name('David','Smith')) + +def calculate_age (birth_year,current_year = 2021): + age = current_year - birth_year + return age; +print('Age: ', calculate_age(1821)) + +def weight_of_object (mass, gravity = 9.81): + weight = str(mass * gravity)+ ' N' # gravedad promedio en la superficie de la Tierra + return weight +print('Weight of an object in Newtons: ', weight_of_object(100)) # 9.81 - gravedad promedio en la Tierra +print('Weight of an object in Newtons: ', weight_of_object(100, 1.62)) # gravedad en la Luna +``` + +### Número arbitrario de argumentos + +Si no sabemos cuántos argumentos se pasarán a la función, podemos usar un parámetro con * para aceptar un número arbitrario de argumentos. + +```py +# Sintaxis +# Declarar una función +def function_name(*args): + codes + codes +# Llamar a la función +function_name(param1, param2, param3,..) +``` + +**Ejemplo:** + +```py +def sum_all_nums(*nums): + total = 0 + for num in nums: + total += num # equivalente a total = total + num + return total +print(sum_all_nums(2, 3, 5)) # 10 +``` + +### Parámetros por defecto y arbitrarios en funciones + +```py +def generate_groups (team,*args): + print(team) + for i in args: + print(i) +print(generate_groups('Team-1','Asabeneh','Brook','David','Eyob')) +``` + +### Función como parámetro de otra función + +```py +# Puedes pasar una función como argumento +def square_number (n): + return n * n +def do_something(f, x): + return f(x) +print(do_something(square_number, 3)) # 27 +``` + +🌕 Has avanzado mucho. ¡Sigue así! Has completado el desafío del día 11 y ya llevas 11 pasos en el camino al éxito. Ahora realiza algunos ejercicios para ejercitar la mente y la práctica. + +## Testimonios + +Es hora de expresar tu opinión sobre el autor y 30DaysOfPython. Puedes dejar tu testimonio en este [enlace](https://testimonify.herokuapp.com/). + +## 💻 Ejercicios: Día 11 + +### Ejercicios: Nivel 1 + +1. Declara una función _add_two_numbers_. Debe aceptar dos parámetros y devolver su suma. +2. La fórmula del área de un círculo es: area = π x r x r. Escribe una función _area_of_circle_ que la calcule. +3. Escribe una función llamada add_all_nums que acepte un número arbitrario de argumentos y sume todos. Verifica que todos los elementos sean de tipo numérico. Si no, devuelve un mensaje apropiado. +4. La temperatura en Celsius (°C) se puede convertir a Fahrenheit (°F) con: °F = (°C x 9/5) + 32. Escribe una función _convert_celsius_to_fahrenheit_. +5. Escribe una función llamada check_season que acepte un mes y devuelva la estación: otoño, invierno, primavera o verano. +6. Escribe una función llamada calculate_slope que devuelva la pendiente de una ecuación lineal. +7. La ecuación cuadrática se calcula como: ax² + bx + c = 0. Escribe una función _solve_quadratic_eqn_ que calcule las soluciones. +8. Declara una función llamada print_list que acepte una lista y imprima cada elemento. +9. Declara una función llamada reverse_list que acepte un arreglo y devuelva su reverso (usa un bucle). + +```py +print(reverse_list([1, 2, 3, 4, 5])) +# [5, 4, 3, 2, 1] +print(reverse_list1(["A", "B", "C"])) +# ["C", "B", "A"] +``` + +10. Declara una función capitalize_list_items que acepte una lista y devuelva una lista con los elementos en mayúscula. +11. Declara una función add_item que acepte una lista y un ítem. Debe devolver la lista con el ítem agregado al final. + +```py +food_staff = ['Potato', 'Tomato', 'Mango', 'Milk']; +print(add_item(food_staff, 'Meat')) # ['Potato', 'Tomato', 'Mango', 'Milk','Meat']; +numbers = [2, 3, 7, 9]; +print(add_item(numbers, 5)) [2, 3, 7, 9, 5] +``` + +12. Declara una función remove_item que acepte una lista y un ítem. Debe devolver la lista con el ítem eliminado. + +```py +food_staff = ['Potato', 'Tomato', 'Mango', 'Milk']; +print(remove_item(food_staff, 'Mango')) # ['Potato', 'Tomato', 'Milk']; +numbers = [2, 3, 7, 9]; +print(remove_item(numbers, 3)) # [2, 7, 9] +``` + +13. Declara una función sum_of_numbers que acepte un número y sume todos los números en ese rango. + +```py +print(sum_of_numbers(5)) # 15 +print(sum_all_numbers(10)) # 55 +print(sum_all_numbers(100)) # 5050 +``` + +14. Declara una función sum_of_odds que acepte un número y sume todos los impares en ese rango. +15. Declara una función sum_of_even que acepte un número y sume todos los pares en ese rango. + +### Ejercicios: Nivel 2 + +1. Declara una función evens_and_odds que acepte un entero positivo y calcule la cantidad de pares e impares en ese número. + +```py + print(evens_and_odds(100)) + # La cantidad de números pares es 50. + # La cantidad de números impares es 50. +``` + +2. Llama a tu función factorial que acepte un entero y devuelva su factorial. +3. Llama a tu función _is_empty_ que acepte un argumento y verifique si está vacío. +4. Escribe distintas funciones que acepten listas y calculen: media, mediana, moda, rango, varianza y desviación estándar. + +### Ejercicios: Nivel 3 + +1. Escribe una función is_prime que verifique si un número es primo. +2. Escribe una función que verifique si todos los ítems en una lista son únicos. +3. Escribe una función que verifique si todos los ítems en una lista son del mismo tipo de dato. +4. Escribe una función que verifique si una variable proporcionada es un nombre de variable válido en Python. +5. Accede al archivo de datos countries-data.py. + +- Crea una función llamada the_most_spoken_languages que devuelva las 10 o 20 lenguas más habladas en el mundo, ordenadas de mayor a menor. +- Crea una función llamada the_most_populated_countries que devuelva los 10 o 20 países más poblados del mundo, ordenados de mayor a menor. + +🎉 ¡Felicidades! 🎉 + +[<< Día 10](./10_loops_sp.md) | [Día 12 >>](./12_modules_sp.md) diff --git a/Spanish/12_modules_sp.md b/Spanish/12_modules_sp.md new file mode 100644 index 000000000..085a0258a --- /dev/null +++ b/Spanish/12_modules_sp.md @@ -0,0 +1,302 @@ +
    +

    30 Días de Python: Día 12 - Módulos

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    +Segunda edición: julio de 2021 +     + +
    + +[<< Día 11](./11_functions_sp.md) | [Día 13 >>](./13_list_comprehension_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 12](#-día-12) + - [Módulos](#módulos) + - [¿Qué es un módulo?](#¿qué-es-un-módulo?) + - [Crear módulos](#crear-módulos) + - [Importar módulos](#importar-módulos) + - [Importar funciones desde un módulo](#importar-funciones-desde-un-módulo) + - [Importar funciones y renombrarlas](#importar-funciones-y-renombrarlas) + - [Importar módulos incorporados](#importar-módulos-incorporados) + - [Módulo OS](#módulo-os) + - [Módulo sys](#módulo-sys) + - [Módulo statistics](#módulo-statistics) + - [Módulo math](#módulo-math) + - [Módulo string](#módulo-string) + - [Módulo random](#módulo-random) + - [💻 Ejercicios: Día 12](#-ejercicios-día-12) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + - [Ejercicios: Nivel 3](#ejercicios-nivel-3) + +# 📘 Día 12 + +## Módulos + +### ¿Qué es un módulo? + +Un módulo es un archivo que contiene un conjunto de código o funciones que se pueden incluir en una aplicación. Un módulo puede ser un archivo con una sola variable, una función o una biblioteca de gran escala. + +### Crear módulos + +Para crear un módulo, escribimos código en un script de Python y lo guardamos con extensión .py. En la carpeta del proyecto crea un archivo llamado mymodule.py. Escribamos algo de código en ese archivo. + +```py +# archivo mymodule.py +def generate_full_name(firstname, lastname): + return firstname + ' ' + lastname +``` + +En el directorio del proyecto crea un archivo main.py e importa mymodule.py. + +### Importar módulos + +Para importar archivos usamos la palabra clave import y el nombre del archivo. + +```py +# archivo main.py +import mymodule +print(mymodule.generate_full_name('Asabeneh', 'Yetayeh')) # Asabeneh Yetayeh +``` + +### Importar funciones desde un módulo + +Podemos tener muchas funciones en un archivo y podemos importar cada una por separado. + +```py +# archivo main.py +from mymodule import generate_full_name, sum_two_nums, person, gravity +print(generate_full_name('Asabneh','Yetayeh')) +print(sum_two_nums(1,9)) +mass = 100 +weight = mass * gravity +print(weight) +print(person['firstname']) +``` + +### Importar funciones y renombrarlas + +Durante la importación también podemos renombrar nombres. + +```py +# archivo main.py +from mymodule import generate_full_name as fullname, sum_two_nums as total, person as p, gravity as g +print(fullname('Asabneh','Yetayeh')) +print(total(1, 9)) +mass = 100 +weight = mass * g +print(weight) +print(p) +print(p['firstname']) +``` + +## Importar módulos incorporados + +Al igual que otros lenguajes, podemos importar módulos usando la palabra clave import. A continuación importamos algunos módulos incorporados que usamos con frecuencia. Algunos módulos comunes son: math, datetime, os, sys, random, statistics, collections, json, re + +### Módulo OS + +El módulo os de Python permite automatizar muchas tareas del sistema operativo. El módulo OS ofrece funciones para crear, cambiar directorio de trabajo, eliminar directorios (carpetas), obtener su contenido y reconocer/cambiar el directorio actual. + +```py +# importar módulo +import os +# crear directorio +os.mkdir('directory_name') +# cambiar el directorio actual +os.chdir('path') +# obtener el directorio actual +os.getcwd() +# eliminar directorio +os.rmdir() +``` + +### Módulo sys + +El módulo sys provee funciones y variables para interactuar con diferentes partes del entorno de ejecución de Python. La función sys.argv devuelve la lista de argumentos de la línea de comandos pasados al script de Python. El elemento en el índice 0 de esa lista es siempre el nombre del script, el índice 1 es el primer argumento pasado desde la línea de comandos. + +Ejemplo archivo script.py: + +```py +import sys +#print(sys.argv[0], argv[1],sys.argv[2]) # esta línea imprimirá: nombre_archivo argumento1 argumento2 +print('Welcome {}. Enjoy {} challenge!'.format(sys.argv[1], sys.argv[2])) +``` + +Para ver cómo funciona el script, en la línea de comandos escribe: + +```sh +python script.py Asabeneh 30DaysOfPython +``` + +Resultado: + +```sh +Welcome Asabeneh. Enjoy 30DayOfPython challenge! +``` + +Algunos comandos útiles de sys: + +```py +# salir del script +sys.exit() +# conocer el tamaño máximo de un entero +sys.maxsize +# conocer la ruta de módulos +sys.path +# conocer la versión de Python en uso +sys.version +``` + +### Módulo statistics + +El módulo statistics proporciona funciones de estadísticas para datos numéricos. Algunas funciones comunes definidas en este módulo: mean, median, mode, stdev, etc. + +```py +from statistics import * # importar todo del módulo statistics +ages = [20, 20, 4, 24, 25, 22, 26, 20, 23, 22, 26] +print(mean(ages)) # ~22.9 +print(median(ages)) # 23 +print(mode(ages)) # 20 +print(stdev(ages)) # ~2.3 +``` + +### Módulo math + +Contiene muchas operaciones matemáticas y constantes. + +```py +import math +print(math.pi) # 3.141592653589793, constante pi +print(math.sqrt(2)) # 1.4142135623730951, raíz cuadrada +print(math.pow(2, 3)) # 8.0, potencia +print(math.floor(9.81)) # 9, redondeo hacia abajo +print(math.ceil(9.81)) # 10, redondeo hacia arriba +print(math.log10(100)) # 2, logaritmo base 10 +``` + +Ahora que hemos importado el módulo math con muchas funciones útiles, podemos ver qué funciones contiene usando help(math) o dir(math). Si sólo queremos importar funciones específicas podemos hacerlo así: + +```py +from math import pi +print(pi) +``` + +También podemos importar múltiples funciones: + +```py +from math import pi, sqrt, pow, floor, ceil, log10 +print(pi) # 3.141592653589793 +print(sqrt(2)) # 1.4142135623730951 +print(pow(2, 3)) # 8.0 +print(floor(9.81)) # 9 +print(ceil(9.81)) # 10 +print(math.log10(100)) # 2 +``` + +Si queremos importar todas las funciones del módulo matemático podemos usar *. + +```py +from math import * +print(pi) # 3.141592653589793, constante pi +print(sqrt(2)) # 1.4142135623730951, raíz cuadrada +print(pow(2, 3)) # 8.0, potencia +print(floor(9.81)) # 9, redondeo hacia abajo +print(ceil(9.81)) # 10, redondeo hacia arriba +print(math.log10(100)) # 2 +``` + +También podemos renombrar funciones al importarlas. + +```py +from math import pi as PI +print(PI) # 3.141592653589793 +``` + +### Módulo string + +El módulo string es muy útil. Los siguientes ejemplos muestran algunos usos. + +```py +import string +print(string.ascii_letters) # abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ +print(string.digits) # 0123456789 +print(string.punctuation) # !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~ +``` + +### Módulo random + +Ahora que sabes importar módulos, familiaricémonos con random. El módulo random nos da números aleatorios entre 0 y 0.9999. El módulo tiene muchas funciones; aquí usamos random y randint. + +```py +from random import random, randint +print(random()) # no necesita parámetros; devuelve un valor entre 0 y 0.9999 +print(randint(5, 20)) # devuelve un entero aleatorio en [5, 20] (inclusive) +``` + +🌕 ¡Has llegado muy lejos. Sigue así! Acabas de completar el desafío del Día 12 y has dado 12 pasos hacia algo grandioso. Ahora ejercita tu mente y tus músculos. + +## 💻 Ejercicios: Día 12 + +### Ejercicios: Nivel 1 + +1. Escribe una función que genere un random_user_id de seis caracteres/dígitos. + ```py + print(random_user_id()); + '1ee33d' + ``` +2. Modifica la tarea anterior. Declara una función llamada user_id_gen_by_user. No acepta argumentos, pero pide dos entradas: una es la cantidad de caracteres por ID y la otra es cuántos IDs generar. + +```py +print(user_id_gen_by_user()) # entrada del usuario: 5 5 +#salida: +#kcsy2 +#SMFYb +#bWmeq +#ZXOYh +#2Rgxf + +print(user_id_gen_by_user()) # 16 5 +#1GCSgPLMaBAVQZ26 +#YD7eFwNQKNs7qXaT +#ycArC5yrRupyG00S +#UbGxOFI7UXSWAyKN +#dIV0SSUTgAdKwStr +``` + +3. Escribe una función llamada rgb_color_gen. Debe generar un color RGB (cada valor en el rango 0-255). + +```py +print(rgb_color_gen()) +# rgb(125,244,255) - la salida debe estar en este formato +``` + +### Ejercicios: Nivel 2 + +1. Escribe una función list_of_hexa_colors que devuelva una lista con cualquier cantidad de colores hexadecimales (seis dígitos hexadecimales después de #; el sistema hex usa 0-9 y a-f). +2. Escribe una función list_of_rgb_colors que devuelva una lista con cualquier cantidad de colores RGB. +3. Escribe una función generate_colors que pueda generar cualquier cantidad de colores hexadecimales o RGB. + +```py + generate_colors('hexa', 3) # ['#a3e12f','#03ed55','#eb3d2b'] + generate_colors('hexa', 1) # ['#b334ef'] + generate_colors('rgb', 3) # ['rgb(5, 55, 175','rgb(50, 105, 100','rgb(15, 26, 80'] + generate_colors('rgb', 1) # ['rgb(33,79, 176)'] +``` + +### Ejercicios: Nivel 3 + +1. Llama a tu función shuffle_list, que recibe una lista y devuelve la lista mezclada. +2. Escribe una función que devuelva una lista de siete números aleatorios únicos en el rango 0-9. + +🎉 ¡Felicidades! 🎉 + +[<< Día 11](./11_functions_sp.md) | [Día 13 >>](./13_list_comprehension_sp.md) diff --git a/Spanish/13_list_comprehension_sp.md b/Spanish/13_list_comprehension_sp.md new file mode 100644 index 000000000..b0e00d35c --- /dev/null +++ b/Spanish/13_list_comprehension_sp.md @@ -0,0 +1,207 @@ +
    +

    30 Días de Python: Día 13 - Comprensiones de listas

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    +Segunda edición: julio de 2021 +     + +
    + +[<< Día 12](./12_modules_sp.md) | [Día 14 >>](./14_higher_order_functions_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 13](#📘-día-13) + - [Comprensiones de listas](#comprensiones-de-listas) + - [Funciones lambda](#funciones-lambda) + - [Crear una función lambda](#crear-una-función-lambda) + - [Funciones lambda dentro de otra función](#lambda-dentro-de-otra-función) + - [💻 Ejercicios: Día 13](#💻-ejercicios-día-13) + +# 📘 Día 13 + +## Comprensiones de listas + +En Python, las comprensiones de listas son una forma concisa de crear listas a partir de secuencias. Es una manera corta de crear nuevas listas a partir de secuencias. Las comprensiones de listas son más rápidas que iterar sobre listas con un bucle for. + +```py +# sintaxis +[i for i in iterable if expresión] +``` + +**Ejemplo 1** + +Por ejemplo, si quieres convertir una cadena en una lista de caracteres, puedes hacerlo de varias formas. Veamos algunas: + +```py +# un método +language = 'Python' +lst = list(language) # convertir la cadena en lista +print(type(lst)) # list +print(lst) # ['P', 'y', 't', 'h', 'o', 'n'] + +# segunda forma: comprensión de listas +lst = [i for i in language] +print(type(lst)) # list +print(lst) # ['P', 'y', 't', 'h', 'o', 'n'] +``` + +**Ejemplo 2** + +Por ejemplo, si quieres generar una lista de números: + +```py +# generar números +numbers = [i for i in range(11)] # genera números de 0 a 10 +print(numbers) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + +# también puedes hacer operaciones matemáticas durante la iteración +squares = [i * i for i in range(11)] +print(squares) # [0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100] + +# también se pueden generar listas de tuplas +numbers = [(i, i * i) for i in range(11)] +print(numbers) # [(0, 0), (1, 1), (2, 4), (3, 9), (4, 16), (5, 25)] +``` + +**Ejemplo 3** + +Las comprensiones de listas pueden combinarse con expresiones if: + +```py +# generar números pares +even_numbers = [i for i in range(21) if i % 2 == 0] # genera pares de 0 a 20 +print(even_numbers) # [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20] + +# generar números impares +odd_numbers = [i for i in range(21) if i % 2 != 0] # genera impares de 0 a 20 +print(odd_numbers) # [1, 3, 5, 7, 9, 11, 13, 15, 17, 19] + +# filtrar números: obtengamos los pares positivos +numbers = [-8, -7, -3, -1, 0, 1, 3, 4, 5, 7, 6, 8, 10] +positive_even_numbers = [i for i in range(21) if i % 2 == 0 and i > 0] +print(positive_even_numbers) # [2, 4, 6, 8, 10, 12, 14, 16, 18, 20] + +# aplanar una lista 2D +list_of_lists = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] +flattened_list = [number for row in list_of_lists for number in row] +print(flattened_list) # [1, 2, 3, 4, 5, 6, 7, 8, 9] +``` + +## Funciones lambda + +Las funciones lambda son pequeñas funciones anónimas sin nombre. Pueden aceptar cualquier número de argumentos, pero solo una expresión. Las funciones lambda son similares a las funciones anónimas en JavaScript. Son útiles cuando necesitamos una función anónima dentro de otra función. + +### Crear una función lambda + +Para crear una función lambda usamos la palabra clave lambda, seguido de uno o más parámetros y luego una expresión. La función lambda no usa return explícito; devuelve la expresión implícitamente. + +```py +# sintaxis +x = lambda param1, param2, param3: param1 + param2 + param3 +print(x(arg1, arg2, arg3)) +``` + +**Ejemplo:** + +```py +# función nombrada +def add_two_nums(a, b): + return a + b + +print(add_two_nums(2, 3)) # 5 + +# con lambda +add_two_nums = lambda a, b: a + b +print(add_two_nums(2, 3)) # 5 + +# lambda autoejecutable +print((lambda a, b: a + b)(2, 3)) # 5 + +square = lambda x: x ** 2 +print(square(3)) # 9 +cube = lambda x: x ** 3 +print(cube(3)) # 27 + +# múltiples variables +multiple_variable = lambda a, b, c: a ** 2 - 3 * b + 4 * c +print(multiple_variable(5, 5, 3)) # 22 +``` + +### Funciones lambda dentro de otra función + +Uso de lambda dentro de otra función: + +```py +def power(x): + return lambda n: x ** n + +cube = power(2)(3) # la función power ahora se usa con dos pares de paréntesis +print(cube) # 8 +two_power_of_five = power(2)(5) +print(two_power_of_five) # 32 +``` + +🌕 Sigue con el buen trabajo. Mantente motivado; el cielo es tu límite. Has completado el desafío del Día 13 y has dado 13 pasos hacia algo grandioso. Ahora ejercita tu mente y sigue practicando. + +## 💻 Ejercicios: Día 13 + +1. Usa una comprensión de listas para filtrar los números negativos y ceros de la siguiente lista: + ```py + numbers = [-4, -3, -2, -1, 0, 2, 4, 6] + ``` +2. Aplana la siguiente lista de listas a una lista unidimensional: + + ```py + list_of_lists = [[[1, 2, 3]], [[4, 5, 6]], [[7, 8, 9]]] + + Salida: + [1, 2, 3, 4, 5, 6, 7, 8, 9] + ``` + +3. Crea la siguiente lista de tuplas usando una comprensión de listas: + ```py + [(0, 1, 0, 0, 0, 0, 0), + (1, 1, 1, 1, 1, 1, 1), + (2, 1, 2, 4, 8, 16, 32), + (3, 1, 3, 9, 27, 81, 243), + (4, 1, 4, 16, 64, 256, 1024), + (5, 1, 5, 25, 125, 625, 3125), + (6, 1, 6, 36, 216, 1296, 7776), + (7, 1, 7, 49, 343, 2401, 16807), + (8, 1, 8, 64, 512, 4096, 32768), + (9, 1, 9, 81, 729, 6561, 59049), + (10, 1, 10, 100, 1000, 10000, 100000)] + ``` +4. Aplana la siguiente estructura en una nueva lista: + ```py + countries = [[('Finlandia', 'Helsinki')], [('Suecia', 'Estocolmo')], [('Noruega', 'Oslo')]] + Salida: + [['Finlandia', 'FIN', 'Helsinki'], ['Suecia', 'SWE', 'Estocolmo'], ['Noruega', 'NOR', 'Oslo']] + ``` +5. Convierte la siguiente lista en una lista de diccionarios: + ```py + countries = [[('Finlandia', 'Helsinki')], [('Suecia', 'Estocolmo')], [('Noruega', 'Oslo')]] + Salida: + [{'País': 'Finlandia', 'Ciudad': 'Helsinki'}, + {'País': 'Suecia', 'Ciudad': 'Estocolmo'}, + {'País': 'Noruega', 'Ciudad': 'Oslo'}] + ``` +6. Convierte la siguiente lista en una lista de cadenas concatenadas: + ```py + names = [[('Asabeneh', 'Yetayeh')], [('David', 'Smith')], [('Donald', 'Trump')], [('Bill', 'Gates')]] + Salida: + ['Asabeneh Yetayeh', 'David Smith', 'Donald Trump', 'Bill Gates'] + ``` +7. Escribe una función lambda que calcule la pendiente o la ordenada al origen de una función lineal. + +🎉 ¡Felicidades! 🎉 + +[<< Día 12](./12_modules_sp.md) | [Día 14 >>](./14_higher_order_functions_sp.md) diff --git a/Spanish/14_higher_order_functions_sp.md b/Spanish/14_higher_order_functions_sp.md new file mode 100644 index 000000000..d4e0e9101 --- /dev/null +++ b/Spanish/14_higher_order_functions_sp.md @@ -0,0 +1,370 @@ +
    +

    30 Días de Python: Día 14 - Funciones de orden superior

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    +Segunda edición: julio de 2021 +     + +
    + +[<< Día 13](./13_list_comprehension_sp.md) | [Día 15 >>](./15_python_type_errors_cn_sp.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 Día 14](#-día-14) + - [Funciones de orden superior](#funciones-de-orden-superior) + - [Funciones como parámetros](#funciones-como-parámetros) + - [Funciones como valor de retorno](#funciones-como-valor-de-retorno) + - [Closures en Python](#closures-en-python) + - [Decoradores en Python](#decoradores-en-python) + - [Crear decoradores](#crear-decoradores) + - [Aplicar varios decoradores a una función](#aplicar-varios-decoradores-a-una-función) + - [Aceptar parámetros en decoradores](#aceptar-parámetros-en-decoradores) + - [Funciones integradas de orden superior](#funciones-integradas-de-orden-superior) + - [Python - función map](#python---función-map) + - [Python - función filter](#python---función-filter) + - [Python - función reduce](#python---función-reduce) + - [💻 Ejercicios: Día 14](#-ejercicios-día-14) + - [Ejercicios: Básico](#ejercicios-básico) + - [Ejercicios: Intermedio](#ejercicios-intermedio) + - [Ejercicios: Avanzado](#ejercicios-avanzado) + +# 📘 Día 14 + +## Funciones de orden superior + +En Python, las funciones son tratadas como ciudadanos de primera clase; se pueden hacer las siguientes operaciones con funciones: + +- Una función puede recibir una o más funciones como parámetros +- Una función puede ser el valor de retorno de otra función +- Una función puede ser modificada +- Una función puede asignarse a una variable + +En esta sección discutiremos: + +1. Pasar funciones como parámetros +2. Devolver funciones como valores de retorno +3. Usar closures y decoradores en Python + +### Funciones como parámetros + +```py +def sum_numbers(nums): # función normal + return sum(nums) # usa la función incorporada sum + +def higher_order_function(f, lst): # pasar función como argumento + summation = f(lst) + return summation +result = higher_order_function(sum_numbers, [1, 2, 3, 4, 5]) +print(result) # 15 +``` + +### Funciones como valor de retorno + +```py +def square(x): # función que devuelve el cuadrado + return x ** 2 + +def cube(x): # función que devuelve el cubo + return x ** 3 + +def absolute(x): # función que devuelve el valor absoluto + if x >= 0: + return x + else: + return -(x) + +def higher_order_function(type): # función de orden superior que devuelve una función + if type == 'square': + return square + elif type == 'cube': + return cube + elif type == 'absolute': + return absolute + +result = higher_order_function('square') +print(result(3)) # 9 +result = higher_order_function('cube') +print(result(3)) # 27 +result = higher_order_function('absolute') +print(result(-3)) # 3 +``` + +En los ejemplos anteriores se observa que la función de orden superior devuelve distintas funciones según el parámetro pasado. + +## Closures en Python + +Python permite que una función anidada acceda al ámbito de su función envolvente externa. Esto se conoce como closure. Un closure en Python se crea al anidar una función dentro de otra función envolvente y devolver la función interna. Veamos un ejemplo. + +**Ejemplo:** + +```py +def add_ten(): + ten = 10 + def add(num): + return num + ten + return add + +closure_result = add_ten() +print(closure_result(5)) # 15 +print(closure_result(10)) # 20 +``` + +## Decoradores en Python + +Un decorador es un patrón de diseño que permite añadir nueva funcionalidad a un objeto sin modificar su estructura. Los decoradores normalmente se usan aplicándolos antes de la definición de la función que se desea decorar. + +### Crear decoradores + +Para crear un decorador necesitamos una función externa que contenga una función envoltura interna. + +**Ejemplo:** + +```py +# función normal +def greeting(): + return 'Welcome to Python' + +def uppercase_decorator(function): + def wrapper(): + func = function() + make_uppercase = func.upper() + return make_uppercase + return wrapper + +g = uppercase_decorator(greeting) +print(g()) # WELCOME TO PYTHON + +# Implementando lo anterior con sintaxis de decorador + +'''Esta función decoradora es una función de orden superior que acepta una función como argumento''' +def uppercase_decorator(function): + def wrapper(): + func = function() + make_uppercase = func.upper() + return make_uppercase + return wrapper + +@uppercase_decorator +def greeting(): + return 'Welcome to Python' +print(greeting()) # WELCOME TO PYTHON +``` + +### Aplicar varios decoradores a una función + +```py +'''Estas funciones decoradoras son funciones de orden superior que reciben funciones como argumento''' + +# primer decorador +def uppercase_decorator(function): + def wrapper(): + func = function() + make_uppercase = func.upper() + return make_uppercase + return wrapper + +# segundo decorador +def split_string_decorator(function): + def wrapper(): + func = function() + splitted_string = func.split() + return splitted_string + return wrapper + +@split_string_decorator +@uppercase_decorator # en este caso el orden importa, ya que .upper() no funciona sobre una lista +def greeting(): + return 'Welcome to Python' +print(greeting()) # ['WELCOME', 'TO', 'PYTHON'] +``` + +### Aceptar parámetros en decoradores + +A menudo necesitamos que nuestras funciones acepten parámetros; por eso definimos decoradores que también los aceptan. + +```py +def decorator_with_parameters(function): + def wrapper_accepting_parameters(para1, para2, para3): + function(para1, para2, para3) + print("I live in {}".format(para3)) + return wrapper_accepting_parameters + +@decorator_with_parameters +def print_full_name(first_name, last_name, country): + print("I am {} {}. I love to teach.".format( + first_name, last_name, country)) + +print_full_name("Asabeneh", "Yetayeh",'Finland') +``` + +## Funciones integradas de orden superior + +En esta sección veremos algunas funciones integradas de orden superior como map(), filter() y reduce(). +Las funciones lambda se pueden pasar como argumentos; su caso de uso ideal es con map, filter y reduce. + +### Python - función map + +map() es una función integrada que recibe una función y un iterable como parámetros. + +```py + # sintaxis + map(function, iterable) +``` + +**Ejemplo 1** + +```py +numbers = [1, 2, 3, 4, 5] # iterable +def square(x): + return x ** 2 +numbers_squared = map(square, numbers) +print(list(numbers_squared)) # [1, 4, 9, 16, 25] +# Usemos lambda +numbers_squared = map(lambda x : x ** 2, numbers) +print(list(numbers_squared)) # [1, 4, 9, 16, 25] +``` + +**Ejemplo 2** + +```py +numbers_str = ['1', '2', '3', '4', '5'] # iterable +numbers_int = map(int, numbers_str) +print(list(numbers_int)) # [1, 2, 3, 4, 5] +``` + +**Ejemplo 3** + +```py +names = ['Asabeneh', 'Lidiya', 'Ermias', 'Abraham'] # iterable + +def change_to_upper(name): + return name.upper() + +names_upper_cased = map(change_to_upper, names) +print(list(names_upper_cased)) # ['ASABENEH', 'LIDIYA', 'ERMIAS', 'ABRAHAM'] + +# Usemos lambda +names_upper_cased = map(lambda name: name.upper(), names) +print(list(names_upper_cased)) # ['ASABENEH', 'LIDIYA', 'ERMIAS', 'ABRAHAM'] +``` + +map itera sobre el iterable y devuelve un nuevo iterable transformado. + +### Python - función filter + +filter() llama a la función especificada que retorna un valor booleano para cada elemento del iterable y filtra los elementos que cumplen la condición. + +```py + # sintaxis + filter(function, iterable) +``` + +**Ejemplo 1** + +```py +# filtremos solo los pares +numbers = [1, 2, 3, 4, 5] # iterable + +def is_even(num): + if num % 2 == 0: + return True + return False + +even_numbers = filter(is_even, numbers) +print(list(even_numbers)) # [2, 4] +``` + +**Ejemplo 2** + +```py +numbers = [1, 2, 3, 4, 5] # iterable + +def is_odd(num): + if num % 2 != 0: + return True + return False + +odd_numbers = filter(is_odd, numbers) +print(list(odd_numbers)) # [1, 3, 5] +``` + +```py +# filtrar nombres largos +names = ['Asabeneh', 'Lidiya', 'Ermias', 'Abraham'] # iterable +def is_name_long(name): + if len(name) > 7: + return True + return False + +long_names = filter(is_name_long, names) +print(list(long_names)) # ['Asabeneh'] +``` + +### Python - función reduce + +reduce() se define en el módulo functools; es necesario importarla desde allí. Al igual que map y filter, recibe una función y un iterable. Sin embargo, no devuelve otro iterable sino un único valor acumulado. + +**Ejemplo 1** + +```py +numbers_str = ['1', '2', '3', '4', '5'] # iterable +def add_two_nums(x, y): + return int(x) + int(y) + +total = reduce(add_two_nums, numbers_str) +print(total) # 15 +``` + +## 💻 Ejercicios: Día 14 + +```py +countries = ['Estonia', 'Finland', 'Sweden', 'Denmark', 'Norway', 'Iceland'] +names = ['Asabeneh', 'Lidiya', 'Ermias', 'Abraham'] +numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +``` + +### Ejercicios: Básico + +1. Explica la diferencia entre map, filter y reduce. +2. Explica la diferencia entre funciones de orden superior, closures y decoradores. +3. Define la función que llama (ver ejemplo). +4. Imprime cada país de la lista countries usando un bucle for. +5. Imprime cada nombre de la lista names usando un bucle for. +6. Imprime cada número de la lista numbers usando un bucle for. + +### Ejercicios: Intermedio + +1. Usa map para convertir cada país en countries a mayúsculas y genera una nueva lista. +2. Usa map para elevar al cuadrado cada número en numbers y genera una nueva lista. +3. Usa map para convertir cada nombre en names a mayúsculas y genera una nueva lista. +4. Usa filter para filtrar países que contienen 'land'. +5. Usa filter para filtrar países con exactamente seis caracteres. +6. Usa filter para filtrar países con seis o más caracteres. +7. Usa filter para filtrar países que comienzan con 'E'. +8. Encadena dos o más iteradores de lista (por ejemplo arr.map(callback).filter(callback).reduce(callback)). +9. Declara una función get_string_lists que reciba una lista y devuelva una lista con solo los elementos de tipo cadena. +10. Usa reduce para sumar todos los números en la lista numbers. +11. Usa reduce para concatenar todos los países en una oración: Estonia, Finland, Sweden, Denmark, Norway, and Iceland are north European countries. +12. Declara una función categorize_countries que retorne una lista de países que siguen un patrón común (puedes ver la lista de países en el archivo countries.js del repositorio, por ejemplo 'land', 'ia', 'island', 'stan'). +13. Crea una función que devuelva un diccionario donde las claves sean la primera letra de los nombres de país y el valor sea el número de países que comienzan con esa letra. +14. Declara una función get_first_ten_countries que devuelva los primeros diez países de la lista countries.js en la carpeta data. +15. Declara una función get_last_ten_countries que devuelva los últimos diez países de la lista. + +### Ejercicios: Avanzado + +1. Usando el archivo countries_data.py (https://github.com/Asabeneh/30-Days-Of-Python/blob/master/data/countries-data.py), completa lo siguiente: + - Ordena los países por nombre, capital y población. + - Ordena y obtiene los diez idiomas más usados. + - Ordena y obtiene los diez países con mayor población. + +🎉 ¡Felicidades! 🎉 + +[<< Día 13](./13_list_comprehension_sp.md) | [Día 15 >>](./15_python_type_errors_cn_sp.md) diff --git a/Spanish/15_python_type_errors_sp.md b/Spanish/15_python_type_errors_sp.md new file mode 100644 index 000000000..f11334efa --- /dev/null +++ b/Spanish/15_python_type_errors_sp.md @@ -0,0 +1,343 @@ +# Desafío de programación Python: Día 15 - Errores (excepciones) en Python + +- [Día 15](#día-15) + - [Tipos de error en Python](#tipos-de-error-en-python) + - [SyntaxError (Error de sintaxis)](#syntaxerror-error-de-sintaxis) + - [NameError (Error de nombre)](#nameerror-error-de-nombre) + - [IndexError (Error de índice)](#indexerror-error-de-índice) + - [ModuleNotFoundError (Módulo no encontrado)](#modulenotfounderror-módulo-no-encontrado) + - [AttributeError (Error de atributo)](#attributeerror-error-de-atributo) + - [KeyError (Error de clave)](#keyerror-error-de-clave) + - [TypeError (Error de tipo)](#typeerror-error-de-tipo) + - [ImportError (Error de importación)](#importerror-error-de-importación) + - [ValueError (Error de valor)](#valueerror-error-de-valor) + - [ZeroDivisionError (Error de división por cero)](#zerodivisionerror-error-de-división-por-cero) + - [💻 Ejercicios - Día 15](#-ejercicios---día-15) + +# 📘 Día 15 + +## Tipos de error en Python + +Al escribir código, con frecuencia cometemos errores tipográficos u otros errores comunes. Si nuestro código falla, el intérprete de Python muestra un mensaje que nos da retroalimentación sobre dónde ocurrió el problema y cuál es el tipo de error. A veces incluso sugiere posibles soluciones. Conocer los distintos tipos de errores en el lenguaje nos ayudará a depurar más rápido y a mejorar nuestras habilidades de programación. + +Revisemos los tipos de error más comunes uno por uno. Primero, abre el intérprete interactivo de Python. Ve a la terminal de tu equipo e ingresa 'python'. Se abrirá el intérprete interactivo de Python. + +### SyntaxError (Error de sintaxis) + +**Ejemplo 1: SyntaxError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print 'hello world' + File "", line 1 + print 'hello world' + ^ +SyntaxError: Missing parentheses in call to 'print'. Did you mean print('hello world')? +>>> +``` + +Como ves, cometimos un error de sintaxis porque olvidamos encerrar la cadena entre paréntesis; Python incluso sugiere la corrección. Arreglémoslo. + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print 'hello world' + File "", line 1 + print 'hello world' + ^ +SyntaxError: Missing parentheses in call to 'print'. Did you mean print('hello world')? +>>> print('hello world') +hello world +>>> +``` + +Ese fue un SyntaxError. Tras corregirlo, el código se ejecuta correctamente. Veamos otros tipos de errores. + +### NameError (Error de nombre) + +**Ejemplo 1: NameError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print(age) +Traceback (most recent call last): + File "", line 1, in +NameError: name 'age' is not defined +>>> +``` + +El mensaje indica que el nombre age no está definido. En efecto, no hemos declarado age pero intentamos imprimirlo. Solucionémoslo declarando la variable y asignándole un valor. + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> print(age) +Traceback (most recent call last): + File "", line 1, in +NameError: name 'age' is not defined +>>> age = 25 +>>> print(age) +25 +>>> +``` + +Ese fue un NameError. Lo depuramos definiendo la variable. + +### IndexError (Error de índice) + +**Ejemplo 1: IndexError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> numbers = [1, 2, 3, 4, 5] +>>> numbers[5] +Traceback (most recent call last): + File "", line 1, in +IndexError: list index out of range +>>> +``` + +En este ejemplo Python lanzó un IndexError porque los índices válidos de la lista son 0 a 4; el índice 5 está fuera de rango. + +### ModuleNotFoundError (Módulo no encontrado) + +**Ejemplo 1: ModuleNotFoundError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> +``` + +Aquí añadí intencionadamente una 's' extra a math, lo que produjo un ModuleNotFoundError. Corrijámoslo quitando la 's'. + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> +``` + +Lo hemos corregido y ahora podemos usar el módulo math. + +### AttributeError (Error de atributo) + +**Ejemplo 1: AttributeError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> math.PI +Traceback (most recent call last): + File "", line 1, in +AttributeError: module 'math' has no attribute 'PI' +>>> +``` + +Aquí intenté acceder a math.PI en lugar de math.pi, lo que produjo un AttributeError porque ese atributo no existe. Corrijámoslo usando el nombre correcto: + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> import maths +Traceback (most recent call last): + File "", line 1, in +ModuleNotFoundError: No module named 'maths' +>>> import math +>>> math.PI +Traceback (most recent call last): + File "", line 1, in +AttributeError: module 'math' has no attribute 'PI' +>>> math.pi +3.141592653589793 +>>> +``` + +Ahora la llamada devuelve el valor esperado. + +### KeyError (Error de clave) + +**Ejemplo 1: KeyError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> users = {'name':'Asab', 'age':250, 'country':'Finland'} +>>> users['name'] +'Asab' +>>> users['county'] +Traceback (most recent call last): + File "", line 1, in +KeyError: 'county' +>>> +``` + +Aquí hay un error de ortografía en la clave usada para obtener un valor del diccionario. Es un KeyError; la solución es usar la clave correcta. + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> user = {'name':'Asab', 'age':250, 'country':'Finland'} +>>> user['name'] +'Asab' +>>> user['county'] +Traceback (most recent call last): + File "", line 1, in +KeyError: 'county' +>>> user['country'] +'Finland' +>>> +``` + +Error depurado; el código devuelve el resultado esperado. + +### TypeError (Error de tipo) + +**Ejemplo 1: TypeError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 4 + '3' +Traceback (most recent call last): + File "", line 1, in +TypeError: unsupported operand type(s) for +: 'int' and 'str' +>>> +``` + +En este caso aparece un TypeError porque no podemos sumar un entero y una cadena. Una solución es convertir la cadena a int o float; otra es convertir el entero a cadena para concatenarlos. Probemos la primera solución: + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 4 + '3' +Traceback (most recent call last): + File "", line 1, in +TypeError: unsupported operand type(s) for +: 'int' and 'str' +>>> 4 + int('3') +7 +>>> 4 + float('3') +7.0 +>>> +``` + +El error desaparece y obtenemos el resultado esperado. + +### ImportError (Error de importación) + +**Ejemplo 1: ImportError** + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> from math import power +Traceback (most recent call last): + File "", line 1, in +ImportError: cannot import name 'power' from 'math' +>>> +``` + +El módulo math no tiene una función llamada power; la función correcta es pow. Corrijámoslo: + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> from math import power +Traceback (most recent call last): + File "", line 1, in +ImportError: cannot import name 'power' from 'math' +>>> from math import pow +>>> pow(2,3) +8.0 +>>> +``` + +### ValueError (Error de valor) + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> int('12a') +Traceback (most recent call last): + File "", line 1, in +ValueError: invalid literal for int() with base 10: '12a' +>>> +``` + +No podemos convertir la cadena dada a número porque contiene la letra 'a'. + +### ZeroDivisionError (Error de división por cero) + +```python +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> 1/0 +Traceback (most recent call last): + File "", line 1, in +ZeroDivisionError: division by zero +>>> +``` + +No podemos dividir un número por cero. + +Hemos revisado varios tipos de errores en Python; para más información, consulta la documentación oficial sobre excepciones en Python. Si te acostumbras a leer los mensajes de error, podrás corregir tus bugs rápidamente y convertirte en un mejor programador. + +🌕 Vas progresando. Has completado la mitad del camino hacia algo genial. Ahora haz algunos ejercicios para entrenar tu cerebro y tus manos. + +## 💻 Ejercicios - Día 15 + +1. Abre tu intérprete interactivo de Python y prueba todos los ejemplos mostrados en esta sección. + +🎉 ¡Felicidades! 🎉 + +[<< Día 14](./14_higher_order_functions_sp.md) | [Día 16 >>](./16_python_datetime_sp.md) \ No newline at end of file diff --git a/Spanish/16_python_datetime_sp.md b/Spanish/16_python_datetime_sp.md new file mode 100644 index 000000000..a76ab2a9a --- /dev/null +++ b/Spanish/16_python_datetime_sp.md @@ -0,0 +1,192 @@ +# 30 Días de Python: Día 16 - datetime en Python + +- [Día 16](#-día-16) + - [Python *datetime*](#python-datetime) + - [Obtener información de *datetime*](#obtener-información-de-datetime) + - [Formatear fecha con *strftime*](#formatear-fecha-con-strftime) + - [Convertir cadena a fecha con *strptime*](#convertir-cadena-a-fecha-con-strptime) + - [Usar *date* desde *datetime*](#usar-date-desde-datetime) + - [Representar tiempo con objetos *time*](#representar-tiempo-con-objetos-time) + - [Calcular la diferencia entre dos puntos en el tiempo](#calcular-la-diferencia-entre-dos-puntos-en-el-tiempo) + - [Calcular diferencias con *timedelta*](#calcular-diferencias-con-timedelta) + - [💻 Ejercicios - Día 16](#-ejercicios---día-16) + +# 📘 Día 16 + +## Python *datetime* + +Python tiene un módulo _datetime_ para trabajar con fechas y horas. + +```py +import datetime +print(dir(datetime)) +['MAXYEAR', 'MINYEAR', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', 'date', 'datetime', 'datetime_CAPI', 'sys', 'time', 'timedelta', 'timezone', 'tzinfo'] +``` + +Con los comandos incorporados dir o help puedes ver las funciones disponibles de un módulo. Como ves, el módulo datetime tiene muchas clases y funciones; nos centraremos en _date_, _datetime_, _time_ y _timedelta_. Veámoslas una a una. + +### Obtener información de *datetime* + +```py +from datetime import datetime +now = datetime.now() +print(now) # 2021-07-08 07:34:46.549883 +day = now.day # 8 +month = now.month # 7 +year = now.year # 2021 +hour = now.hour # 7 +minute = now.minute # 38 +second = now.second +timestamp = now.timestamp() +print(day, month, year, hour, minute) +print('timestamp', timestamp) +print(f'{day}/{month}/{year}, {hour}:{minute}') # 8/7/2021, 7:38 +``` + +El timestamp, o Unix timestamp, es el número de segundos transcurridos desde el 1 de enero de 1970 UTC. + +### Formatear fecha con *strftime* + +```py +from datetime import datetime +new_year = datetime(2020, 1, 1) +print(new_year) # 2020-01-01 00:00:00 +day = new_year.day +month = new_year.month +year = new_year.year +hour = new_year.hour +minute = new_year.minute +second = new_year.second +print(day, month, year, hour, minute) #1 1 2020 0 0 +print(f'{day}/{month}/{year}, {hour}:{minute}') # 1/1/2020, 0:0 + +``` + +Usa el método *strftime* para formatear fechas y horas; la documentación de formatos está [aquí](https://strftime.org/). + +```py +from datetime import datetime +# fecha y hora actual +now = datetime.now() +t = now.strftime("%H:%M:%S") +print("Hora:", t) +time_one = now.strftime("%m/%d/%Y, %H:%M:%S") +# formato mm/dd/YY H:M:S +print("Formato uno:", time_one) +time_two = now.strftime("%d/%m/%Y, %H:%M:%S") +# formato dd/mm/YY H:M:S +print("Formato dos:", time_two) +``` + +```sh +Hora: 01:05:01 +Formato uno: 12/05/2019, 01:05:01 +Formato dos: 05/12/2019, 01:05:01 +``` + +A continuación se muestran los símbolos de _strftime_ usados para formatear tiempos, como se ve en la imagen de referencia. + +![strftime](../images/strftime.png) + +### Convertir cadena a fecha con *strptime* +Aquí hay una [guía](https://www.programiz.com/python-programming/datetime/strptimet) que ayuda a entender los formatos. + +```py +from datetime import datetime +date_string = "5 December, 2019" +print("date_string =", date_string) +date_object = datetime.strptime(date_string, "%d %B, %Y") +print("date_object =", date_object) +``` + +```sh +date_string = 5 December, 2019 +date_object = 2019-12-05 00:00:00 +``` + +### Usar *date* desde *datetime* + +```py +from datetime import date +d = date(2020, 1, 1) +print(d) +print('Fecha actual:', d.today()) # fecha actual +# objeto date de hoy +today = date.today() +print("Año actual:", today.year) # 2019 +print("Mes actual:", today.month) # 12 +print("Día actual:", today.day) # 5 +``` + +### Representar tiempo con objetos *time* + +```py +from datetime import time +# time(hour = 0, minute = 0, second = 0) +a = time() +print("a =", a) +# time(hour, minute y second) +b = time(10, 30, 50) +print("b =", b) +# time(hour, minute y second) +c = time(hour=10, minute=30, second=50) +print("c =", c) +# time(hour, minute, second, microsecond) +d = time(10, 30, 50, 200555) +print("d =", d) +``` + +Salida: +a = 00:00:00 +b = 10:30:50 +c = 10:30:50 +d = 10:30:50.200555 + +### Calcular la diferencia entre dos puntos en el tiempo + +```py +today = date(year=2019, month=12, day=5) +new_year = date(year=2020, month=1, day=1) +time_left_for_newyear = new_year - today +# Tiempo hasta año nuevo: 27 days, 0:00:00 +print('Tiempo hasta año nuevo: ', time_left_for_newyear) + +t1 = datetime(year = 2019, month = 12, day = 5, hour = 0, minute = 59, second = 0) +t2 = datetime(year = 2020, month = 1, day = 1, hour = 0, minute = 0, second = 0) +diff = t2 - t1 +print('Tiempo hasta año nuevo:', diff) # Tiempo hasta año nuevo: 26 days, 23:01:00 +``` + +### Calcular diferencias con *timedelta* + +```py +from datetime import timedelta +t1 = timedelta(weeks=12, days=10, hours=4, seconds=20) +t2 = timedelta(days=7, hours=5, minutes=3, seconds=30) +t3 = t1 - t2 +print("t3 =", t3) +``` + +```sh +date_string = 5 December, 2019 +date_object = 2019-12-05 00:00:00 +t3 = 86 days, 22:56:50 +``` + +🌕 Eres increíble. Has avanzado 16 pasos hacia la excelencia. Ahora haz algunos ejercicios para entrenar tu mente y tus manos. + +## 💻 Ejercicios - Día 16 + +1. Obtén el día, mes, año, hora, minuto y timestamp actuales desde el módulo datetime. +2. Formatea la fecha actual con el formato: "%m/%d/%Y, %H:%M:%S" +3. Hoy es 5 de diciembre de 2019. Convierte esa cadena de fecha a un objeto datetime. +4. Calcula la diferencia entre ahora y el próximo año nuevo. +5. Calcula la diferencia entre el 1 de enero de 1970 y ahora. +6. Piensa: ¿para qué puedes usar el módulo datetime? Por ejemplo: + - Análisis de series temporales + - Obtener timestamps para eventos en una aplicación + - Añadir la fecha de publicación en un blog + +🎉 ¡Felicidades! 🎉 + +[<< Día 15](./15_python_type_errors_sp.md) | [Día 17 >>](./17_exception_handling_sp.md) \ No newline at end of file diff --git a/Spanish/17_exception_handling_sp.md b/Spanish/17_exception_handling_sp.md new file mode 100644 index 000000000..2e9192c5a --- /dev/null +++ b/Spanish/17_exception_handling_sp.md @@ -0,0 +1,284 @@ +# 30 Días de Python: Día 17 - Manejo de excepciones + +- [Día 17](#-día-17) + - [Manejo de excepciones](#manejo-de-excepciones) + - [Empacar y desempacar parámetros en Python](#empacar-y-desempacar-parámetros-en-python) + - [Desempaquetado](#desempaquetado) + - [Desempaquetar listas](#desempaquetar-listas) + - [Desempaquetar diccionarios](#desempaquetar-diccionarios) + - [Empaquetado](#empaquetado) + - [Empaquetar listas](#empaquetar-listas) + - [Empaquetar diccionarios](#empaquetar-diccionarios) + - [Expandir en Python](#expandir-en-python) + - [Enumerar (enumerate)](#enumerar-enumerate) + - [Zip](#zip) + - [Ejercicios: Día 17](#ejercicios-día-17) + +# 📘 Día 17 + +## Manejo de excepciones + +Python utiliza _try_ y _except_ para manejar errores de forma elegante. Salir de forma controlada (o manejar errores con elegancia) es una buena práctica: el programa detecta una condición de error y la maneja adecuadamente, normalmente mostrando un mensaje descriptivo en la terminal o en un registro. Las excepciones suelen deberse a factores externos al programa (entrada errónea, nombre de archivo incorrecto, archivo no encontrado, fallos de I/O, etc.). El manejo adecuado de excepciones evita que las aplicaciones se bloqueen. + +En la sección anterior hemos cubierto los distintos tipos de errores en Python. Si usamos _try_ y _except_ correctamente, podemos impedir que esos errores hagan que el programa falle. + +![Try and Except](../images/try_except.png) + +```py +try: + # si todo va bien, se ejecuta el código en este bloque +except: + # si ocurre un error, se ejecuta el código en este bloque +``` + +**Ejemplo:** + +```py +try: + print(10 + '5') +except: + print('Ocurrió un error') +``` + +En el ejemplo anterior, el segundo operando es una cadena. Podemos convertirlo a int o float para sumarlo a un número; si no lo hacemos, se ejecutará el bloque _except_. + +**Ejemplo:** + +```py +try: + name = input('Introduce tu nombre:') + year_born = input('¿En qué año naciste?:') + age = 2019 - year_born + print(f'Eres {name}. Tu edad es {age}.') +except: + print('Ocurrió un error') +``` + +```sh +Ocurrió un error +``` + +En el ejemplo anterior, se ejecuta el bloque de excepción, pero no sabemos exactamente qué pasó. Para identificar el problema podemos capturar tipos de excepción concretos. + +En el siguiente ejemplo capturamos y mostramos el tipo de error: + +```py +try: + name = input('Introduce tu nombre:') + year_born = input('¿En qué año naciste?:') + age = 2019 - year_born + print(f'Eres {name}. Tu edad es {age}.') +except TypeError: + print('Se produjo un error de tipo (TypeError)') +except ValueError: + print('Se produjo un ValueError') +except ZeroDivisionError: + print('Se produjo una división por cero (ZeroDivisionError)') +``` + +```sh +Introduce tu nombre:Asabeneh +¿En qué año naciste?:1920 +Se produjo un error de tipo (TypeError) +``` + +En el ejemplo anterior la salida será _TypeError_. Ahora añadamos bloques adicionales: + +```py +try: + name = input('Introduce tu nombre:') + year_born = input('¿En qué año naciste?:') + age = 2019 - int(year_born) + print(f'Eres {name}. Tu edad es {age}.') +except TypeError: + print('Se produjo un error de tipo (TypeError)') +except ValueError: + print('Se produjo un ValueError') +except ZeroDivisionError: + print('Se produjo una división por cero (ZeroDivisionError)') +else: + print('Este bloque se ejecuta normalmente después de try') +finally: + print('Este bloque siempre se ejecuta.') +``` + +```sh +Introduce tu nombre:Asabeneh +¿En qué año naciste?:1920 +Eres Asabeneh. Tu edad es 99. +Este bloque se ejecuta normalmente después de try +Este bloque siempre se ejecuta. +``` + +También podemos simplificar el manejo de excepción así: + +```py +try: + name = input('Introduce tu nombre:') + year_born = input('¿En qué año naciste?:') + age = 2019 - int(year_born) + print(f'Eres {name}. Tu edad es {age}.') +except Exception as e: + print(e) +``` + +## Empacar y desempacar parámetros en Python + +Usamos dos operadores: + +- * para tuplas/listas +- ** para diccionarios + +Veamos un ejemplo. Supongamos que una función acepta parámetros separados, pero nosotros tenemos una lista. Podemos desempaquetarla y convertirla en argumentos. + +### Desempaquetado + +#### Desempaquetar listas + +```py +def sum_of_five_nums(a, b, c, d, e): + return a + b + c + d + e + +lst = [1, 2, 3, 4, 5] +print(sum_of_five_nums(lst)) # TypeError: sum_of_five_nums() missing 4 required positional arguments: 'b', 'c', 'd', and 'e' +``` + +Al ejecutar lo anterior ocurre un error porque la función espera números separados, no una lista. Desempaquetemos la lista: + +```py +def sum_of_five_nums(a, b, c, d, e): + return a + b + c + d + e + +lst = [1, 2, 3, 4, 5] +print(sum_of_five_nums(*lst)) # 15 +``` + +También podemos usar desempaquetado con range(), que acepta inicio y fin: + +```py +numbers = range(2, 7) # llamada normal con parámetros separados +print(list(numbers)) # [2, 3, 4, 5, 6] +args = [2, 7] +numbers = range(*args) # llamada usando los parámetros desempaquetados desde la lista +print(list(numbers)) # [2, 3, 4, 5, 6] +``` + +También podemos usar desempaquetado en asignaciones: + +```py +countries = ['Finland', 'Sweden', 'Norway', 'Denmark', 'Iceland'] +fin, sw, nor, *rest = countries +print(fin, sw, nor, rest) # Finland Sweden Norway ['Denmark', 'Iceland'] +numbers = [1, 2, 3, 4, 5, 6, 7] +one, *middle, last = numbers +print(one, middle, last) # 1 [2, 3, 4, 5, 6] 7 +``` + +#### Desempaquetar diccionarios + +```py +def unpacking_person_info(name, country, city, age): + return f'{name} vive en {city}, {country}. Tiene {age} años.' +dct = {'name':'Asabeneh', 'country':'Finland', 'city':'Helsinki', 'age':250} +print(unpacking_person_info(**dct)) # Asabeneh vive en Helsinki, Finland. Tiene 250 años. +``` + +### Empaquetado + +A veces no sabemos cuántos argumentos nos pasarán a una función. Podemos usar empaquetado para aceptar un número variable de argumentos. + +### Empaquetar listas + +```py +def sum_all(*args): + s = 0 + for i in args: + s += i + return s +print(sum_all(1, 2, 3)) # 6 +print(sum_all(1, 2, 3, 4, 5, 6, 7)) # 28 +``` + +#### Empaquetar diccionarios + +```py +def packing_person_info(**kwargs): + # comprobar el tipo de kwargs: es un dict + # print(type(kwargs)) + # imprimir los pares clave-valor + for key in kwargs: + print(f"{key} = {kwargs[key]}") + return kwargs + +print(packing_person_info(name="Asabeneh", + country="Finland", city="Helsinki", age=250)) +``` + +```sh +name = Asabeneh +country = Finland +city = Helsinki +age = 250 +{'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +``` + +## Expandir en Python + +Al igual que en JavaScript, Python permite expandir listas usando el operador *. Veámoslo: + +```py +lst_one = [1, 2, 3] +lst_two = [4, 5, 6, 7] +lst = [0, *lst_one, *lst_two] +print(lst) # [0, 1, 2, 3, 4, 5, 6, 7] +``` + +## Enumerar (enumerate) + +Si necesitamos los índices de una lista, usamos la función integrada enumerate. + +```py +for index, item in enumerate([20, 30, 40]): + print(index, item) +``` + +```py +for index, i in enumerate(countries): + print('hola') + if i == 'Finland': + print(f'El país {i} está en el índice {index}') +``` + +```sh +0 20 +1 30 +2 40 +``` + +## Zip + +A veces necesitamos combinar listas. Observa el ejemplo: + +```py +fruits = ['banana', 'orange', 'mango', 'lemon', 'lime'] +vegetables = ['Tomato', 'Potato', 'Cabbage','Onion', 'Carrot'] +fruits_and_veges = [] +for f, v in zip(fruits, vegetables): + fruits_and_veges.append({'fruit':f, 'veg':v}) + +print(fruits_and_veges) +``` + +```sh +[{'fruit': 'banana', 'veg': 'Tomato'}, {'fruit': 'orange', 'veg': 'Potato'}, {'fruit': 'mango', 'veg': 'Cabbage'}, {'fruit': 'lemon', 'veg': 'Onion'}, {'fruit': 'lime', 'veg': 'Carrot'}] +``` + +## Ejercicios: Día 17 + +1. Crea en _countries.py_ funciones que usen los datos de _countries_data.py_: + - una función para encontrar los 10 idiomas más usados + - una función para encontrar los 10 países más poblados + +🎉 ¡Felicidades! 🎉 + +[<< Día 16](./16_python_datetime_sp.md) | [Día 18 >>](./18_regular_expressions_sp.md) \ No newline at end of file diff --git a/Spanish/18_regular_expressions_sp.md b/Spanish/18_regular_expressions_sp.md new file mode 100644 index 000000000..d4e452f49 --- /dev/null +++ b/Spanish/18_regular_expressions_sp.md @@ -0,0 +1,409 @@ +# 30 Días de Python: Día 18 - Expresiones regulares + +- [Día 18](#-día-18) + - [Expresiones regulares](#expresiones-regulares) + - [Módulo *re*](#módulo-re) + - [Métodos en el módulo *re*](#métodos-en-el-módulo-re) + - [Match (coincidencia al inicio)](#match-coincidencia-al-inicio) + - [Search (búsqueda)](#search-búsqueda) + - [Buscar todas las coincidencias con *findall*](#buscar-todas-las-coincidencias-con-findall) + - [Reemplazar subcadenas](#reemplazar-subcadenas) + - [Usar RegEx para dividir el texto](#usar-regex-para-dividir-texto) + - [Construir patrones RegEx](#construir-patrones-regex) + - [Corchetes](#corchetes) + - [Caracteres de escape en RegEx (\\)](#caracteres-de-escape-en-regex) + - [Una o más veces (+)](#una-o-más-veces-+) + - [Punto (.)](#punto-) + - [Cero o más veces (*)](#cero-o-más-veces-) + - [Cero o una vez (?)](#cero-o-una-vez-?) + - [Cuantificadores en RegEx](#cuantificadores-en-regex) + - [Circunflejo (^) en RegEx](#circunflejo-^) + - [💻 Ejercicios: Día 18](#-ejercicios-día-18) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + - [Ejercicios: Nivel 3](#ejercicios-nivel-3) + +# 📘 Día 18 + +## Expresiones regulares + +Las expresiones regulares (RegEx) son cadenas de texto especiales que ayudan a encontrar patrones en los datos. RegEx se puede usar para comprobar la existencia de ciertos patrones en diferentes tipos de datos. Para usar RegEx en Python debemos importar el módulo llamado *re*. + +### Módulo *re* + +Una vez importado el módulo, podemos usarlo para detectar o buscar patrones. + +```py +import re +``` + +### Métodos en el módulo *re* + +Para buscar patrones usamos diferentes conjuntos de caracteres y funciones de *re*, que permiten buscar coincidencias dentro de una cadena. + +- *re.match()*: busca solo al inicio de la cadena; devuelve un objeto Match si hay coincidencia, sino None. +- *re.search*: busca en cualquier parte de la cadena (incluyendo textos multilínea); devuelve el primer objeto Match encontrado o None. +- *re.findall*: devuelve una lista con todas las coincidencias. +- *re.split*: acepta una cadena y la divide en los puntos donde hay coincidencia, devolviendo una lista. +- *re.sub*: reemplaza una o más coincidencias en una cadena. + +#### Match (coincidencia al inicio) + +```py +# sintaxis +re.match(substring, string, re.I) +# substring es una cadena o patrón, string es el texto donde buscamos, re.I indica ignorar mayúsculas/minúsculas +``` + +```py +import re + +txt = 'I love to teach python and javaScript' +# Devuelve un objeto Match con span y match +match = re.match('I love to teach', txt, re.I) +print(match) # +# Podemos usar span para obtener la posición inicial y final como tupla +span = match.span() +print(span) # (0, 15) +# Tomamos inicio y fin desde span +start, end = span +print(start, end) # 0, 15 +substring = txt[start:end] +print(substring) # I love to teach +``` + +Del ejemplo anterior se ve que el patrón buscado es *I love to teach*. La función match **solo** devuelve un objeto si el texto comienza con ese patrón. + +```py +import re + +txt = 'I love to teach python and javaScript' +match = re.match('I like to teach', txt, re.I) +print(match) # None +``` + +Esa cadena no comienza con *I like to teach*, por eso match devuelve None. + +#### Search (búsqueda) + +```py +# sintaxis +re.search(substring, string, re.I) +# substring es un patrón, string es el texto donde buscamos, re.I es la bandera para ignorar mayúsculas/minúsculas +``` + +```py +import re + +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +# Devuelve un objeto Match con span y match +match = re.search('first', txt, re.I) +print(match) # +# Podemos usar span para obtener inicio y fin como tupla +span = match.span() +print(span) # (100, 105) +# Tomamos inicio y fin +start, end = span +print(start, end) # 100 105 +substring = txt[start:end] +print(substring) # first +``` + +Como puedes ver, search es más potente que match porque busca en todo el texto. search devuelve la primera coincidencia; para obtener todas las coincidencias usamos findall. + +#### Buscar todas las coincidencias con *findall* + +*findall()* devuelve todas las coincidencias como una lista. + +```py +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +# Devuelve una lista +matches = re.findall('language', txt, re.I) +print(matches) # ['language', 'language'] +``` + +La palabra *language* aparece dos veces en el texto. Practiquemos más: vamos a buscar 'Python' y 'python' en el texto: + +```py +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +# Devuelve una lista +matches = re.findall('python', txt, re.I) +print(matches) # ['Python', 'python'] +``` + +Usando re.I se ignora mayúsculas/minúsculas. Si no usamos la bandera, podemos escribir el patrón de otras formas: + +```py +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +matches = re.findall('Python|python', txt) +print(matches) # ['Python', 'python'] + +# +matches = re.findall('[Pp]ython', txt) +print(matches) # ['Python', 'python'] +``` + +#### Reemplazar subcadenas + +```py +txt = '''Python is the most beautiful language that a human being has ever created. +I recommend python for a first programming language''' + +match_replaced = re.sub('Python|python', 'JavaScript', txt, re.I) +print(match_replaced) # JavaScript is the most beautiful language that a human being has ever created. +# o bien +match_replaced = re.sub('[Pp]ython', 'JavaScript', txt, re.I) +print(match_replaced) # JavaScript is the most beautiful language that a human being has ever created. +``` + +Otro ejemplo: el siguiente texto es difícil de leer por los símbolos '%'. Reemplazarlos por cadena vacía limpia el texto. + +```py +txt = '''%I a%m te%%a%%che%r% a%n%d %% I l%o%ve te%ach%ing. +T%he%re i%s n%o%th%ing as r%ewarding a%s e%duc%at%i%ng a%n%d e%m%p%ow%er%ing p%e%o%ple. +I fo%und te%a%ching m%ore i%n%t%er%%es%ting t%h%an any other %jobs. +D%o%es thi%s m%ot%iv%a%te %y%o%u to b%e a t%e%a%cher?''' + +matches = re.sub('%', '', txt) +print(matches) +``` + +```sh +I am teacher and I love teaching. +There is nothing as rewarding as educating and empowering people. +I found teaching more interesting than any other jobs. Does this motivate you to be a teacher? +``` + +## Usar RegEx para dividir el texto + +```py +txt = '''I am teacher and I love teaching. +There is nothing as rewarding as educating and empowering people. +I found teaching more interesting than any other jobs. +Does this motivate you to be a teacher?''' +print(re.split('\n', txt)) # dividir usando \n - salto de línea +``` + +```sh +['I am teacher and I love teaching.', 'There is nothing as rewarding as educating and empowering people.', 'I found teaching more interesting than any other jobs.', 'Does this motivate you to be a teacher?'] +``` + +## Construir patrones RegEx + +Para declarar una cadena usamos comillas simples o dobles. Para declarar un patrón RegEx usamos una cadena raw, escrita como r''. +El siguiente patrón reconoce solo 'apple' en minúsculas; para ignorar mayúsculas/minúsculas reescribimos el patrón o añadimos la bandera re.I. + +```py +import re + +regex_pattern = r'apple' +txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away. ' +matches = re.findall(regex_pattern, txt) +print(matches) # ['apple'] + +# Para ignorar mayúsculas/minúsculas, añadimos la bandera +matches = re.findall(regex_pattern, txt, re.I) +print(matches) # ['Apple', 'apple'] +# o podemos usar un conjunto de caracteres +regex_pattern = r'[Aa]pple' # esto permite Apple o apple +matches = re.findall(regex_pattern, txt) +print(matches) # ['Apple', 'apple'] +``` + +* []: un conjunto de caracteres + - [a-c] significa a o b o c + - [a-z] cualquier letra de a a z + - [A-Z] cualquier letra de A a Z + - [0-3] 0 o 1 o 2 o 3 + - [0-9] cualquier dígito del 0 al 9 + - [A-Za-z0-9] cualquier carácter alfanumérico: a-z, A-Z o 0-9 + +### Corchetes + +Practiquemos más con corchetes. Recuerda usar re.I para búsquedas sin distinción entre mayúsculas y minúsculas. + +```py +regex_pattern = r'[Aa]pple|[Bb]anana' # Apple o apple o Banana o banana +txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away.' +matches = re.findall(regex_pattern, txt) +print(matches) # ['Apple', 'banana', 'apple', 'banana'] +``` + +Usando corchetes y alternación: +```py +regex_pattern = r'[a-zA-Z0-9]' # caracteres a-z, A-Z, 0-9 +txt = 'Apple and banana are fruits. An old cliche says an apple a day a doctor way has been replaced by a banana a day keeps the doctor far far away.' +matches = re.findall(regex_pattern, txt) +print(matches) # ['A', 'p', 'p', 'l', 'e', 'a', 'n', 'd', 'b', 'a', 'n', 'a', 'n', 'a', 'a', 'r', 'e',...] + +regex_pattern = r'\d' # \d es un metacarácter que representa dígitos +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2', '0', '1', '9', '8', '2', '0', '2', '1'] + +regex_pattern = r'\d+' # \d+ dígitos uno o más +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2019', '8', '2021'] +``` + +### Caracteres de escape en RegEx (\\) + +```py +regex_pattern = r'\d+' # \d dígito, + uno o más +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2019', '8', '2021'] +``` + +Para buscar la barra invertida '\' en sí usamos doble backslash: +```py +regex_pattern = r'\\d' # busca literal '\d' +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # [] +``` + +Si no hay '\d' literal en el texto, no se encuentran coincidencias. + +### Una o más veces (+) + +```py +regex_pattern = r'\d+' # \d dígito, + uno o más +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2019', '8', '2021'] +``` + +### Punto (.) + +```py +regex_pattern = r'[a].' # a seguido de cualquier carácter (excepto nueva línea) +txt = '''Apple and banana are fruits''' +matches = re.findall(regex_pattern, txt) +print(matches) # ['an', 'an', 'an', 'a ', 'ar'] + +regex_pattern = r'[a].+' # a seguido de cualquier carácter una o más veces +matches = re.findall(regex_pattern, txt) +print(matches) # ['and banana are fruits'] +``` + +### Cero o más veces (*) + +Cero o más. Observa con atención el ejemplo. + +```py +regex_pattern = r'[a].*' # a seguido de cualquier carácter cero o más veces +txt = '''Apple and banana are fruits''' +matches = re.findall(regex_pattern, txt) +print(matches) # ['and banana are fruits'] +``` + +### Cero o una vez (?) + +Cero o una vez: puede existir o no. + +```py +txt = '''I am not sure if there is a convention how to write the word e-mail. +Some people write it as email others may write it as Email or E-mail.''' +regex_pattern = r'[Ee]-?mail' # ? indica cero o una vez +matches = re.findall(regex_pattern, txt) +print(matches) # ['e-mail', 'email', 'Email', 'E-mail'] +``` + +### Cuantificadores en RegEx + +Con llaves podemos especificar la longitud del patrón: +```py +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'\d{4}' # exactamente 4 dígitos +matches = re.findall(regex_pattern, txt) +print(matches) # ['2019', '2021'] + +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'\d{1,4}' # entre 1 y 4 dígitos +matches = re.findall(regex_pattern, txt) +print(matches) # ['6', '2019', '8', '2021'] +``` + +### Circunflejo (^) en RegEx + +- Indicar inicio + +```py +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'^This' # ^ indica que empieza con 'This' +matches = re.findall(regex_pattern, txt) +print(matches) # ['This'] +``` + +- Negación dentro de corchetes + +```py +txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' +regex_pattern = r'[^A-Za-z ]+' # ^ dentro de [] significa negación: no A-Z, no a-z, no espacio +matches = re.findall(regex_pattern, txt) +print(matches) # ['6,', '2019', '8,', '2021'] +``` + +## 💻 Ejercicios: Día 18 + +### Ejercicios: Nivel 1 + +1. ¿Qué es una expresión regular? +2. ¿Qué es una variable de expresión regular (regex variable)? +3. Recrea patrones que: + a) Encuentren citas que contengan la palabra *talent* en un libro, + b) Encuentren fechas en formato _DD-MM-YYYY_, por ejemplo 12-01-2021, + c) Encuentren verbos en tiempo -ing en un texto. + +### Ejercicios: Nivel 2 + +1. Escribe un patrón que valide un nombre de variable válido en Python. +2. Limpia el siguiente texto eliminando etiquetas HTML. +```python +text = ''' +HTML +Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript. + +Web browsers receive HTML documents from a web server or from local storage and render the documents into multimedia web pages. HTML describes the structure of a web page semantically and originally included cues for the appearance of the document. + +HTML elements are the building blocks of HTML pages. With HTML constructs, images and other objects such as interactive forms may be embedded into the rendered page. HTML provides a means to create structured documents by denoting structural semantics for text such as headings, paragraphs, lists, links, quotes and other items. HTML elements are delineated by tags, written using angle brackets. Tags such as and directly introduce content into the page. Other tags such as

    surround and provide information about document text and may include other tags as sub-elements. Browsers do not display the HTML tags, but use them to interpret the content of the page. + +HTML can embed programs written in a scripting language such as JavaScript, which affects the behavior and content of web pages. Inclusion of CSS defines the look and layout of content. The World Wide Web Consortium (W3C), former maintainer of the HTML and current maintainer of the CSS standards, has encouraged the use of CSS over explicit presentational HTML since 1997. +''' +``` + +### Ejercicios: Nivel 3 + +1. Limpia el siguiente texto y, tras limpiarlo, calcula las tres palabras más frecuentes: + +```python +paragraph = '''I love teaching. If you do not love teaching what else can you love. I love Python if you do not love something which can give you all the capabilities to develop an application what else can you love.''' +``` + +2. El siguiente texto contiene varias direcciones de correo electrónico. Escribe un patrón que encuentre o extraiga las direcciones de email válidas: + +```py +email_address = ''' +asabeneh@gmail.com +alex@yahoo.com +kofi@yahoo.com +doe@arc.gov +asabeneh.com +asabeneh@gmail +alex@yahoo +''' +``` + +🎉 ¡Felicidades! 🎉 + +[<< Día 17](./17_exception_handling_sp.md) | [Día 19 >>](./19_file_handling_sp.md) \ No newline at end of file diff --git a/Spanish/19_file_handling_sp.md b/Spanish/19_file_handling_sp.md new file mode 100644 index 000000000..6711cf7f2 --- /dev/null +++ b/Spanish/19_file_handling_sp.md @@ -0,0 +1,526 @@ +# 30 Días de Python: Día 19 - Manejo de archivos + +- [Día 19](#-día-19) + - [Manejo de archivos](#manejo-de-archivos) + - [Abrir un archivo para lectura](#abrir-un-archivo-para-lectura) + - [Abrir un archivo para escritura y actualización](#abrir-un-archivo-para-escritura-y-actualización) + - [Eliminar archivos](#eliminar-archivos) + - [Tipos de archivos](#tipos-de-archivos) + - [Archivos con extensión txt](#archivos-con-extensión-txt) + - [Archivos con extensión json](#archivos-con-extensión-json) + - [Convertir JSON a diccionario](#convertir-json-a-diccionario) + - [Convertir diccionario a JSON](#convertir-diccionario-a-json) + - [Guardar como archivo JSON](#guardar-como-archivo-json) + - [Archivos con extensión csv](#archivos-con-extensión-csv) + - [Archivos con extensión xlsx](#archivos-con-extensión-xlsx) + - [Archivos con extensión xml](#archivos-con-extensión-xml) + - [💻 Ejercicios: Día 19](#-ejercicios-día-19) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + - [Ejercicios: Nivel 3](#ejercicios-nivel-3) + +# 📘 Día 19 + +## Manejo de archivos + +Hasta ahora hemos visto distintos tipos de datos en Python. Normalmente almacenamos datos en distintos formatos de archivo. Además de manejar archivos, en esta sección veremos diferentes formatos (.txt, .json, .xml, .csv, .tsv, .excel). Primero, familiaricémonos con el manejo de archivos usando un formato común (.txt). + +El manejo de archivos es una parte importante de la programación; nos permite crear, leer, actualizar y eliminar archivos. En Python usamos la función incorporada _open()_ para manipular archivos. + +```py +# sintaxis +open('filename', mode) # mode(r, a, w, x, t, b) puede ser lectura, escritura o actualización +``` + +- "r" - lectura - valor por defecto. Abre el archivo solo para lectura; si no existe genera un error. +- "a" - append (añadir) - abre el archivo para agregar contenido al final; crea el archivo si no existe. +- "w" - escritura - abre el archivo para escribir, sobrescribe si existe; crea el archivo si no existe. +- "x" - crear - crea el archivo; si existe genera un error. +- "t" - texto - valor por defecto. Modo texto. +- "b" - binario - modo binario (por ejemplo para imágenes). + +### Abrir un archivo para lectura + +El modo por defecto de _open_ es lectura, así que no es necesario especificar 'r' o 'rt'. He creado un archivo llamado reading_file_example.txt en el directorio files. Veamos: + +```py +f = open('./files/reading_file_example.txt') +print(f) # <_io.TextIOWrapper name='./files/reading_file_example.txt' mode='r' encoding='UTF-8'> +``` + +Como en el ejemplo, al imprimir el objeto archivo obtenemos información sobre él. Un archivo abierto permite distintos métodos de lectura: _read()_, _readline_, _readlines_. Debemos cerrar el archivo con _close()_ cuando terminemos. + +- _read()_: lee todo el texto como una cadena. Podemos limitar el número de caracteres pasando un entero a *read(number)*. + +```py +f = open('./files/reading_file_example.txt') +txt = f.read() +print(type(txt)) +print(txt) +f.close() +``` + +```sh +# salida + +This is an example to show how to open a file and read. +This is the second line of the text. +``` + +En lugar de imprimir todo el texto, podemos leer solamente los primeros 10 caracteres: + +```py +f = open('./files/reading_file_example.txt') +txt = f.read(10) +print(type(txt)) +print(txt) +f.close() +``` + +```sh +# salida + +This is an +``` + +- _readline()_: lee solo la primera línea + +```py +f = open('./files/reading_file_example.txt') +line = f.readline() +print(type(line)) +print(line) +f.close() +``` + +```sh +# salida + +This is an example to show how to open a file and read. +``` + +- _readlines()_: lee todo el texto línea por línea y devuelve una lista de líneas + +```py +f = open('./files/reading_file_example.txt') +lines = f.readlines() +print(type(lines)) +print(lines) +f.close() +``` + +```sh +# salida + +['This is an example to show how to open a file and read.\n', 'This is the second line of the text.'] +``` + +Otra forma de obtener todas las líneas como lista es usar _splitlines()_: + +```py +f = open('./files/reading_file_example.txt') +lines = f.read().splitlines() +print(type(lines)) +print(lines) +f.close() +``` + +```sh +# salida + +['This is an example to show how to open a file and read.', 'This is the second line of the text.'] +``` + +Debemos cerrar los archivos después de abrirlos. Es fácil olvidarse; por eso existe la construcción _with_ que cierra automáticamente: + +```py +with open('./files/reading_file_example.txt') as f: + lines = f.read().splitlines() + print(type(lines)) + print(lines) +``` + +```sh +# salida + +['This is an example to show how to open a file and read.', 'This is the second line of the text.'] +``` + +### Abrir un archivo para escritura y actualización + +Para escribir en un archivo hay que pasar el modo a _open()_: + +- "a" - append - añade al final; crea el archivo si no existe. +- "w" - write - sobrescribe el contenido; crea el archivo si no existe. + +Añadamos texto al archivo que hemos estado leyendo: + +```py +with open('./files/reading_file_example.txt','a') as f: + f.write('Este texto debe añadirse al final') +``` + +Si el archivo no existe, el siguiente ejemplo creará uno nuevo: + +```py +with open('./files/writing_file_example.txt','w') as f: + f.write('Este texto será escrito en el nuevo archivo creado') +``` + +### Eliminar archivos + +Como vimos anteriormente, podemos crear y eliminar directorios con el módulo _os_. Para eliminar archivos también usamos _os_. + +```py +import os +os.remove('./files/example.txt') +``` + +Si el archivo no existe, remove lanzará un error, por lo que es mejor comprobar: + +```py +import os +if os.path.exists('./files/example.txt'): + os.remove('./files/example.txt') +else: + print('El archivo no existe') +``` + +## Tipos de archivos + +### Archivos con extensión txt + +Los archivos _txt_ son un formato muy común; ya vimos su uso más arriba. Ahora pasemos a JSON. + +### Archivos con extensión json + +JSON significa JavaScript Object Notation. Es básicamente una representación en cadena de un objeto JavaScript o de un diccionario Python. + +_Ejemplo:_ + +```py +# diccionario +person_dct= { + "name":"Asabeneh", + "country":"Finland", + "city":"Helsinki", + "skills":["JavaScript", "React","Python"] +} +# JSON: la forma en cadena del diccionario +person_json = "{'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'skills': ['JavaScrip', 'React', 'Python']}" +# Usamos triple comillas para que sea multilínea y más legible +person_json = '''{ + "name":"Asabeneh", + "country":"Finland", + "city":"Helsinki", + "skills":["JavaScript", "React","Python"] +}''' +``` + +### Convertir JSON a diccionario + +Para convertir JSON a diccionario importamos el módulo json y usamos _loads_. + +```py +import json +# JSON +person_json = '''{ + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "skills": ["JavaScript", "React", "Python"] +}''' +# Convertir la cadena JSON a diccionario +person_dct = json.loads(person_json) +print(type(person_dct)) +print(person_dct) +print(person_dct['name']) +``` + +```sh +# salida + +{'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'skills': ['JavaScrip', 'React', 'Python']} +Asabeneh +``` + +### Convertir diccionario a JSON + +Para convertir un diccionario a JSON usamos _dumps_. + +```py +import json +# diccionario en Python +person = { + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "skills": ["JavaScript", "React", "Python"] +} +# convertir diccionario a cadena JSON +person_json = json.dumps(person, indent=4) # indent puede ser 2, 4, 8; formatea la salida +print(type(person_json)) +print(person_json) +``` + +```sh +# salida + +{ + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "skills": [ + "JavaScript", + "React", + "Python" + ] +} +``` + +### Guardar como archivo JSON + +También podemos guardar los datos en un archivo JSON: + +```py +import json +# diccionario en Python +person = { + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "skills": ["JavaScript", "React", "Python"] +} +with open('./files/json_example.json', 'w', encoding='utf-8') as f: + json.dump(person, f, ensure_ascii=False, indent=4) +``` + +En el ejemplo usamos encoding y ensure_ascii para manejar caracteres no ASCII. Ejemplo con caracteres no ASCII: + +```py +import json +person = { + "name": "Mark Firenze", + "country": "Spain", + "city": "Madrid", + "skills": ["JavaScript", "React", "Python"] +} +with open('./files/json_example.json', 'w', encoding='utf-8') as f: + json.dump(person, f, ensure_ascii=False, indent=4) +``` + +Leamos el archivo JSON que acabamos de crear: + +```py +import json +with open('./files/json_example.json', 'r', encoding='utf-8') as f: + person = json.load(f) + print(person) +``` + +```sh +# salida +{'name': 'Mark Firenze', 'country': 'Spain', 'city': 'Madrid', 'skills': ['JavaScript', 'React', 'Python']} +``` + +### Archivos con extensión csv + +CSV significa Comma Separated Values (valores separados por comas). Es un formato sencillo para datos tabulares (como hojas de cálculo o bases de datos) muy común en ciencia de datos. + +_Ejemplo CSV:_ + +```csv +"name","country","city","skills" +"Asabeneh","Finland","Helsinki","JavaScript" +``` + +Ejemplo de lectura: + +```py +import csv +with open('./files/csv_example.csv') as f: + csv_reader = csv.reader(f, delimiter=',') # w+ crea el archivo si no existe + line_count = 0 + for row in csv_reader: + if line_count == 0: + print(f'Encabezados: {", ".join(row)}') + line_count += 1 + else: + print(f'{row[0]} viene de {row[1]}, {row[2]}. Conoce {row[3]}') + line_count += 1 + print(f'Procesadas {line_count} líneas.') +``` + +```sh +# salida: +Encabezados: name, country, city, skills +Asabeneh viene de Finland, Helsinki. Conoce JavaScript +Procesadas 2 líneas. +``` + +También podemos escribir CSV: + +```py +import csv +with open('./files/csv_example.csv', 'w', encoding='UTF8', newline='') as f: + writer = csv.writer(f) + # escribir encabezados + writer.writerow(['name', 'country', 'city', 'skills']) + # escribir datos + writer.writerow(['Asabeneh', 'Finland', 'Helsinki', 'JavaScript']) +``` + +### Archivos con extensión xlsx + +Para leer archivos Excel necesitamos instalar la librería xlrd (u otras alternativas). Ejemplo: + +```py +import xlrd +excel_book = xlrd.open_workbook('sample.xls') +print(excel_book.nsheets) +print(excel_book.sheet_names) +``` + +### Archivos con extensión xml + +XML es un lenguaje de marcado similar a HTML. Permite etiquetas personalizadas y se usa para datos estructurados. En Python hay varias librerías; aquí usamos xml.etree.ElementTree. + +_Ejemplo XML:_ + +```xml + + + Asabeneh + Finland + Helsinki + + JavaScript + React + Python + + +``` + +Usamos xml.etree.ElementTree para parsear: + +```py +import xml.etree.ElementTree as ET +tree = ET.parse('./files/xml_example.xml') +root = tree.getroot() +print('Etiqueta raíz:', root.tag) +print('Atributos:', root.attrib) +for child in root: + print('Campo: ', child.tag) +``` + +```sh +# salida +Etiqueta raíz: person +Atributos: {'gender': 'female'} +Campo: name +Campo: country +Campo: city +Campo: skills +``` + +Obtener más detalles: + +```py +import xml.etree.ElementTree as ET +tree = ET.parse('./files/xml_example.xml') +root = tree.getroot() +print('Etiqueta raíz:', root.tag) +print('Atributos:', root.attrib) +for child in root: + print('Campo: ', child.tag) + if child.tag != 'skills': + print(child.text) + else: + for skill in child: + print(skill.text) +``` + +```sh +# salida +Etiqueta raíz: person +Atributos: {'gender': 'female'} +field: name +Asabeneh +field: country +Finland +field: city +Helsinki +field: skills +JavaScript +React +Python +``` + +## 💻 Ejercicios: Día 19 + +### Ejercicios: Nivel 1 + +1. Escribe una función que reciba un parámetro (nombre de archivo) y cuente el número de palabras del archivo. +2. Lee el archivo obama_speech.txt y cuenta las palabras. +3. Lee michelle_obama_speech.txt y cuenta las palabras. +4. Lee donald_speech.txt y cuenta las palabras. +5. Lee melina_trump_speech.txt y cuenta las palabras. + +### Ejercicios: Nivel 2 + +1. Extrae todos los archivos Python del directorio del curso: + a) Recorre la carpeta 30DaysOfPython, extrae todos los archivos .py y guarda sus nombres en files_list.txt + b) Crea un script llamado find_python.py que pueda ejecutarse desde la línea de comandos + c) Añade una opción --version para manejar argumentos de línea de comandos + +### Ejercicios: Nivel 3 + +1. Crea un archivo JSON a partir del siguiente dataset: + ```py + python_libraries = [ + { + "nombre_librería": "Django", + "creador": "Adrian Holovaty", + "primer_año_lanzamiento": 2005, + "versión": "4.0.2", + "uso": "Desarrollo web", + "descripción": "Django permite construir aplicaciones web mejores y más rápido." + }, + { + "nombre_librería": "Flask", + "creador": "Armin Ronacher", + "primer_año_lanzamiento": 2010, + "versión": "2.0.2", + "uso": "Desarrollo web", + "descripción": "Flask es un micro framework WSGI para aplicaciones web." + }, + { + "nombre_librería": "NumPy", + "creador": "Travis Oliphant", + "primer_año_lanzamiento": 2005, + "versión": "1.22.0", + "uso": "Cómputo científico", + "descripción": "NumPy es la biblioteca fundamental para el cómputo científico en Python." + }, + { + "nombre_librería": "Pandas", + "creador": "Wes McKinney", + "primer_año_lanzamiento": 2008, + "versión": "1.4.0", + "uso": "Análisis de datos", + "descripción": "pandas es una librería open source para análisis y manipulación de datos." + }, + { + "nombre_librería": "Matplotlib", + "creador": "John D. Hunter", + "primer_año_lanzamiento": 2003, + "versión": "3.5.1", + "uso": "Visualización de datos", + "descripción": "Matplotlib es una librería para crear visualizaciones estáticas, animadas e interactivas en Python." + } + ] + ``` + +🎉 ¡Felicidades! 🎉 + +[<< Día 18](./18_regular_expressions_sp.md) | [Día 20 >>](./20_python_package_manager_sp.md) \ No newline at end of file diff --git a/Spanish/20_python_package_manager_sp.md b/Spanish/20_python_package_manager_sp.md new file mode 100644 index 000000000..efebceb95 --- /dev/null +++ b/Spanish/20_python_package_manager_sp.md @@ -0,0 +1,308 @@ +# 30 Días de Python: Día 20 - PIP + +- [Día 20](#-día-20) + - [Python PIP - Gestor de paquetes de Python](#python-pip---gestor-de-paquetes-de-python) + - [¿Qué es PIP?](#¿qué-es-pip) + - [Instalar PIP](#instalar-pip) + - [Instalar paquetes con pip](#instalar-paquetes-con-pip) + - [Desinstalar paquetes](#desinstalar-paquetes) + - [Lista de paquetes](#lista-de-paquetes) + - [Mostrar información del paquete](#mostrar-información-del-paquete) + - [PIP Freeze](#pip-freeze) + - [Leer datos desde una URL](#leer-datos-desde-una-url) + - [Crear paquetes](#crear-paquetes) + - [Más información sobre paquetes](#más-información-sobre-paquetes) + - [Ejercicios: Día 20](#ejercicios-día-20) + +# 📘 Día 20 + +## Python PIP - Gestor de paquetes de Python + +### ¿Qué es PIP? + +PIP significa Preferred Installer Program, que en español puede traducirse como «programa de instalación preferido». Usamos _pip_ para instalar paquetes de Python. +Un paquete es una colección de módulos (o subpaquetes) que podemos instalar y luego importar en nuestras aplicaciones. +En la práctica, en lugar de reescribir utilidades comunes, instalamos paquetes útiles y los importamos. + +### Instalar PIP + +Si aún no tienes pip instalado, instálalo ahora. En la terminal o símbolo del sistema ejecuta: + +```sh +pip install pip +``` + +Comprueba si pip está instalado con: + +```sh +pip --version +``` + +```py +pip --version +# ejemplo de salida: +# pip 21.1.3 from /usr/local/lib/python3.7/site-packages/pip (python 3.9.6) +``` + +Si ves un número diferente, significa que pip está instalado en tu sistema. + +### Instalar paquetes con pip + +Probemos a instalar _numpy_, una librería numérica de Python muy usada en ciencia de datos y aprendizaje automático. + +- NumPy ofrece: + - Potentes arrays N-dimensionales + - Operaciones vectorizadas (broadcasting) + - Herramientas para integrar con C/C++ y Fortran + - Funciones de álgebra lineal, transformadas de Fourier y generadores aleatorios + +```sh +pip install numpy +``` + +Ejemplo de uso en el intérprete de Python: + +```py +>>> import numpy +>>> numpy.version.version +'1.20.1' +>>> lst = [1, 2, 3, 4, 5] +>>> np_arr = numpy.array(lst) +>>> np_arr +array([1, 2, 3, 4, 5]) +>>> len(np_arr) +5 +>>> np_arr * 2 +array([ 2, 4, 6, 8, 10]) +>>> np_arr + 2 +array([3, 4, 5, 6, 7]) +``` + +Pandas es otra librería muy usada para estructuras de datos y análisis. Instalémosla: + +```sh +pip install pandas +``` + +```py +>>> import pandas +``` + +Esta sección no pretende profundizar en NumPy o Pandas, sino solo mostrar cómo instalar e importar paquetes. + +Hay módulos de la librería estándar, por ejemplo _webbrowser_, que permiten abrir sitios web. No necesitan instalación. + +```py +import webbrowser # módulo para abrir sitios web + +# lista de URLs de ejemplo +url_lists = [ + 'http://www.python.org', + 'https://www.linkedin.com/in/asabeneh/', + 'https://github.com/Asabeneh', + 'https://twitter.com/Asabeneh', +] + +# abrir cada URL en una nueva pestaña +for url in url_lists: + webbrowser.open_new_tab(url) +``` + +### Desinstalar paquetes + +Para eliminar un paquete instalado: + +```sh +pip uninstall packagename +``` + +### Lista de paquetes + +Para listar los paquetes instalados en tu entorno: + +```sh +pip list +``` + +### Mostrar información del paquete + +Para ver información de un paquete: + +```sh +pip show packagename +``` + +Ejemplo: + +```sh +pip show pandas +``` + +Salida de ejemplo: + +```txt +Name: pandas +Version: 1.2.3 +Summary: Powerful data structures for data analysis, time series, and statistics +Home-page: http://pandas.pydata.org +Author: None +Author-email: None +License: BSD +Location: /usr/local/lib/python3.7/site-packages +Requires: python-dateutil, pytz, numpy +Required-by: +``` + +Si quieres más detalles puedes añadir --verbose. + +### PIP Freeze + +Genera una lista de paquetes instalados y sus versiones (útil para requirements.txt): + +```sh +pip freeze +``` + +Salida de ejemplo: + +```txt +docutils==0.11 +Jinja2==2.7.2 +MarkupSafe==0.19 +Pygments==1.6 +Sphinx==1.2.2 +``` + +### Leer datos desde una URL + +A veces queremos leer datos desde una URL (por ejemplo APIs que devuelven JSON). Para eso usamos el paquete _requests_. + +Instálalo con: + +```sh +pip install requests +``` + +En requests veremos métodos y atributos como _get()_, _status_code_, _headers_, _text_, _json()_: + - _get()_: solicita una URL y devuelve un objeto Response + - _status_code_: código HTTP de la respuesta + - _headers_: cabeceras de la respuesta + - _text_: contenido en texto + - _json()_: parsea JSON y devuelve estructuras de Python + +Ejemplo leyendo un archivo de texto desde la web: + +```py +import requests # importar requests + +url = 'https://www.w3.org/TR/PNG/iso_8859-1.txt' # URL con texto + +response = requests.get(url) # solicitar URL +print(response) +print(response.status_code) # código de estado, 200 indica éxito +print(response.headers) # cabeceras de la respuesta +print(response.text) # contenido en texto +``` + +Ejemplo leyendo una API que devuelve JSON (API de países): + +```py +import requests +url = 'https://restcountries.eu/rest/v2/all' # API con información de países +response = requests.get(url) +print(response) # objeto Response +print(response.status_code) # 200 indica éxito +countries = response.json() +print(countries[:1]) # imprimimos el primer país por brevedad +``` + +Veamos otro ejemplo con la API del Banco Mundial (datos de Etiopía): + +```py +import requests +from pprint import pp # pretty print para mostrar resultados legibles + +url = 'http://api.worldbank.org/countries/et?format=json' # API del Banco Mundial para Etiopía +response = requests.get(url) +print(response) # objeto Response +print(response.status_code) # 200 indica éxito +ethiopia_data = response.json() +pp(ethiopia_data) # mostrar datos de forma legible +``` + +### Crear paquetes + +También podemos crear nuestros propios paquetes y subirlos a PyPI. Ejemplo simple: crea un directorio llamado mypackage con un __init__.py (puede estar vacío) y los siguientes módulos. + +```py +# mypackage/arithmetics.py +def add_numbers(*args): + total = 0 + for num in args: + total += num + return total + +def subtract(a, b): + return (a - b) + +def multiple(a, b): + return a * b + +def division(a, b): + return a / b + +def remainder(a, b): + return a % b + +def power(a, b): + return a ** b +``` + +```py +# mypackage/greet.py +def greet_person(firstname, lastname): + return f'{firstname} {lastname}, welcome to 30DaysOfPython Challenge!' +``` + +__init__.py no es estrictamente necesario en Python ≥3.3, pero se recomienda para compatibilidad. + +Usando el paquete: + +```py +from mypackage import arithmetics +print(arithmetics.add_numbers(1, 2, 3, 5)) +print(arithmetics.subtract(5, 3)) +print(arithmetics.multiple(5, 3)) +print(arithmetics.division(5, 3)) +print(arithmetics.remainder(5, 3)) +print(arithmetics.power(5, 3)) + +from mypackage import greet +print(greet.greet_person('Juan', 'Pérez')) +``` + +### Más información sobre paquetes + +- Python tiene paquetes y módulos incorporados; otros deben instalarse. +- pip es la herramienta recomendada para instalar y gestionar paquetes desde PyPI. +- Para capturar las dependencias de un proyecto usa pip freeze > requirements.txt. +- Para desinstalar: pip uninstall packagename o pip uninstall -r requirements.txt. +- Virtualenv (y venv) permiten crear entornos aislados: + - Instalar virtualenv: pip install virtualenv + - Crear entornos aislados evita conflictos entre proyectos. + +## Ejercicios: Día 20 + +1. Lee sobre entornos virtuales, crea uno e instala al menos un paquete dentro del entorno. + +2. Usa una API de países para obtener todos los datos y encuentra los 10 países más poblados. + +3. Encuentra todos los países cuyo idioma oficial sea inglés (código 'eng') a partir de los datos de la API. + +4. A partir de los datos de la API, encuentra los 10 países con mayor superficie. + +5. Encuentra todos los países recién listados (o filtrados según la API) y ordénalos por capital. + +🎉 ¡Felicidades! 🎉 + +[<< Día 19](./19_file_handling_sp.md) | [Día 21 >>](./21_classes_and_objects_sp.md) \ No newline at end of file diff --git a/Spanish/21_classes_and_objects_sp.md b/Spanish/21_classes_and_objects_sp.md new file mode 100644 index 000000000..804d40ced --- /dev/null +++ b/Spanish/21_classes_and_objects_sp.md @@ -0,0 +1,416 @@ +# 30 Días de Python: Día 21 - Clases y Objetos + +- [Día 21](#-día-21) + - [Clases y objetos](#clases-y-objetos) + - [Crear una clase](#crear-una-clase) + - [Crear un objeto](#crear-un-objeto) + - [Constructor de clase](#constructor-de-clase) + - [Métodos de instancia](#métodos-de-instancia) + - [Valores por defecto de los objetos](#valores-por-defecto-de-los-objetos) + - [Modificar valores por defecto de la clase](#modificar-valores-por-defecto-de-la-clase) + - [Herencia](#herencia) + - [Sobrescribir métodos de la clase padre](#sobrescribir-métodos-de-la-clase-padre) + - [💻 Ejercicios: Día 21](#-ejercicios-día-21) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + - [Ejercicios: Nivel 3](#ejercicios-nivel-3) + +# 📘 Día 21 + +## Clases y objetos + +Python es un lenguaje orientado a objetos. En Python todo es un objeto con atributos y métodos. Los números, cadenas, listas, diccionarios, tuplas, conjuntos, etc. que usamos en programas son instancias de las clases incorporadas correspondientes. Creamos clases para definir objetos. Una clase es como un constructor de objetos o un "molde" para crear objetos. Instanciamos una clase para crear un objeto. La clase define las propiedades y el comportamiento, mientras que el objeto representa la instancia. + +Desde el inicio de este reto hemos estado usando clases y objetos sin darnos cuenta. Cada elemento en un programa Python es un objeto perteneciente a alguna clase. Veamos que todo en Python pertenece a una clase: + +```py +asabeneh@Asabeneh:~$ python +Python 3.9.6 (default, Jun 28 2021, 15:26:21) +[Clang 11.0.0 (clang-1100.0.33.8)] on darwin +Type "help", "copyright", "credits" or "license" for more information. +>>> num = 10 +>>> type(num) + +>>> string = 'string' +>>> type(string) + +>>> boolean = True +>>> type(boolean) + +>>> lst = [] +>>> type(lst) + +>>> tpl = () +>>> type(tpl) + +>>> set1 = set() +>>> type(set1) + +>>> dct = {} +>>> type(dct) + +``` + +### Crear una clase + +Para crear una clase usamos la palabra clave class seguida del nombre de la clase y dos puntos. El nombre de la clase debe usar CamelCase. + +```sh +# sintaxis +class NombreClase: + # código aquí +``` + +**Ejemplo:** + +```py +class Person: + pass +print(Person) +``` + +```sh +<__main__.Person object at 0x10804e510> +``` + +### Crear un objeto + +Creamos un objeto llamando a la clase: + +```py +p = Person() +print(p) +``` + +### Constructor de clase + +En el ejemplo anterior creamos un objeto de la clase Person. Sin embargo, una clase sin constructor no es muy útil en la práctica. Usamos el método especial __init__ como constructor en Python. __init__ recibe self, que es la referencia a la instancia actual. + +**Ejemplo:** + +```py +class Person: + def __init__(self, name): + # self permite ligar parámetros a la instancia + self.name = name + +p = Person('Asabeneh') +print(p.name) +print(p) +``` + +```sh +# salida +Asabeneh +<__main__.Person object at 0x2abf46907e80> +``` + +Añadamos más parámetros al constructor: + +```py +class Person: + def __init__(self, firstname, lastname, age, country, city): + self.firstname = firstname + self.lastname = lastname + self.age = age + self.country = country + self.city = city + +p = Person('Asabeneh', 'Yetayeh', 250, 'Finland', 'Helsinki') +print(p.firstname) +print(p.lastname) +print(p.age) +print(p.country) +print(p.city) +``` + +```sh +# salida +Asabeneh +Yetayeh +250 +Finland +Helsinki +``` + +### Métodos de instancia + +Un objeto puede tener métodos, que son funciones pertenecientes a esa instancia. + +**Ejemplo:** + +```py +class Person: + def __init__(self, firstname, lastname, age, country, city): + self.firstname = firstname + self.lastname = lastname + self.age = age + self.country = country + self.city = city + def person_info(self): + return f'{self.firstname} {self.lastname} tiene {self.age} años. Vive en {self.city}, {self.country}.' + +p = Person('Asabeneh', 'Yetayeh', 250, 'Finland', 'Helsinki') +print(p.person_info()) +``` + +```sh +# salida +Asabeneh Yetayeh tiene 250 años. Vive en Helsinki, Finland. +``` + +### Valores por defecto de los objetos + +A veces queremos proporcionar valores por defecto a los parámetros del constructor para evitar errores cuando la clase se instancia sin argumentos. + +**Ejemplo:** + +```py +class Person: + def __init__(self, firstname='Asabeneh', lastname='Yetayeh', age=250, country='Finland', city='Helsinki'): + self.firstname = firstname + self.lastname = lastname + self.age = age + self.country = country + self.city = city + + def person_info(self): + return f'{self.firstname} {self.lastname} tiene {self.age} años. Vive en {self.city}, {self.country}.' + +p1 = Person() +print(p1.person_info()) +p2 = Person('John', 'Doe', 30, 'Nomanland', 'Noman city') +print(p2.person_info()) +``` + +```sh +# salida +Asabeneh Yetayeh tiene 250 años. Vive en Helsinki, Finland. +John Doe tiene 30 años. Vive en Noman city, Nomanland. +``` + +### Modificar valores por defecto de la clase + +En el siguiente ejemplo todos los parámetros del constructor tienen valores por defecto y añadimos un atributo skills y un método add_skill para añadir habilidades. + +```py +class Person: + def __init__(self, firstname='Asabeneh', lastname='Yetayeh', age=250, country='Finland', city='Helsinki'): + self.firstname = firstname + self.lastname = lastname + self.age = age + self.country = country + self.city = city + self.skills = [] + + def person_info(self): + return f'{self.firstname} {self.lastname} tiene {self.age} años. Vive en {self.city}, {self.country}.' + def add_skill(self, skill): + self.skills.append(skill) + +p1 = Person() +print(p1.person_info()) +p1.add_skill('HTML') +p1.add_skill('CSS') +p1.add_skill('JavaScript') +p2 = Person('John', 'Doe', 30, 'Nomanland', 'Noman city') +print(p2.person_info()) +print(p1.skills) +print(p2.skills) +``` + +```sh +# salida +Asabeneh Yetayeh tiene 250 años. Vive en Helsinki, Finland. +John Doe tiene 30 años. Vive en Noman city, Nomanland. +['HTML', 'CSS', 'JavaScript'] +[] +``` + +### Herencia + +La herencia nos permite definir una clase que hereda el comportamiento de otra, facilitando la reutilización del código. + +```py +# sintaxis +class NombreSubclase(NombreSuperclase): + # código aquí +``` + +Ejemplo: + +```py +class Student(Person): + pass + +s1 = Student('Eyob', 'Yetayeh', 30, 'Finland', 'Helsinki') +s2 = Student('Lidiya', 'Teklemariam', 28, 'Finland', 'Espoo') +print(s1.person_info()) +s1.add_skill('JavaScript') +s1.add_skill('React') +s1.add_skill('Python') +print(s1.skills) +print(s2.person_info()) +s2.add_skill('Organizing') +s2.add_skill('Marketing') +s2.add_skill('Digital Marketing') +print(s2.skills) +``` + +```sh +# salida +Eyob Yetayeh tiene 30 años. Vive en Helsinki, Finland. +['JavaScript', 'React', 'Python'] +Lidiya Teklemariam tiene 28 años. Vive en Espoo, Finland. +['Organizing', 'Marketing', 'Digital Marketing'] +``` + +No hemos definido nuevos métodos en Student, pero puede usar los métodos del padre Person. Student hereda el constructor __init__ y el método person_info de Person. Si queremos añadir comportamiento específico en la subclase, definimos nuevos métodos o redefinimos los existentes. + +```py +class Student(Person): + def __init__(self, firstname='Asabeneh', lastname='Yetayeh', age=250, country='Finland', city='Helsinki', gender='male'): + self.gender = gender + super().__init__(firstname, lastname, age, country, city) + def person_info(self): + gender = 'él' if self.gender == 'male' else 'ella' + return f'{self.firstname} {self.lastname} tiene {self.age} años. {gender.capitalize()} vive en {self.city}, {self.country}.' + +s1 = Student('Eyob', 'Yetayeh', 30, 'Finland', 'Helsinki', 'male') +s2 = Student('Lidiya', 'Teklemariam', 28, 'Finland', 'Espoo', 'female') +print(s1.person_info()) +s1.add_skill('JavaScript') +s1.add_skill('React') +s1.add_skill('Python') +print(s1.skills) +print(s2.person_info()) +s2.add_skill('Organizing') +s2.add_skill('Marketing') +s2.add_skill('Digital Marketing') +print(s2.skills) +``` + +```sh +# salida +Eyob Yetayeh tiene 30 años. Él vive en Helsinki, Finland. +['JavaScript', 'React', 'Python'] +Lidiya Teklemariam tiene 28 años. Ella vive en Espoo, Finland. +['Organizing', 'Marketing', 'Digital Marketing'] +``` + +Podemos usar super() o el nombre de la clase padre para invocar el comportamiento del padre. En el ejemplo anterior sobrescribimos el método person_info en la subclase con una implementación distinta. + +### Sobrescribir métodos de la clase padre + +Como se mostró, podemos sobrescribir un método del padre definiendo en la subclase un método con el mismo nombre. + +## 💻 Ejercicios: Día 21 + +### Ejercicios: Nivel 1 + +1. Python tiene un módulo llamado _statistics_ que podemos usar para calcular estadísticas. Ahora intentemos desarrollar una clase que calcule count, sum, min, max, range, mean, median, mode, standard deviation, variance, frequency distribution y describe. + +```py +class Statistics: + def __init__(self, data=[]): + self.data = data + + def count(self): + # tu propia implementación + pass + + def sum(self): + # tu propia implementación + pass + + def min(self): + # tu propia implementación + pass + + def max(self): + # tu propia implementación + pass + + def range(self): + # tu propia implementación + pass + + def mean(self): + # tu propia implementación + pass + + def median(self): + # tu propia implementación + pass + + def mode(self): + # tu propia implementación + pass + + def standard_deviation(self): + # tu propia implementación + pass + + def variance(self): + # tu propia implementación + pass + + def frequency_distribution(self): + # tu propia implementación + pass + + def describe(self): + # tu propia implementación + pass +``` + +```py +# código de prueba +data = [31, 26, 34, 37, 27, 26, 32, 32, 26, 27, 27, 24, 32, 33, 27, 25, 26, 38, 37, 31, 34, 24, 33, 29, 26] +statistics = Statistics(data) +print('Count:', statistics.count()) # 25 +print('Sum: ', statistics.sum()) # 730 +print('Min: ', statistics.min()) # 24 +print('Max: ', statistics.max()) # 38 +print('Range: ', statistics.range()) # 14 +print('Mean: ', statistics.mean()) # 29.2 +print('Median: ', statistics.median()) # 27 +print('Mode: ', statistics.mode()) # {'mode': 26, 'count': 5} +print('Standard Deviation: ', statistics.standard_deviation()) # 4.2 +print('Variance: ', statistics.variance()) # 17.5 +print('Frequency Distribution: ', statistics.frequency_distribution()) # [(24, 2), (25, 1), (26, 5), (27, 4), (29, 1), (31, 2), (32, 3), (33, 2), (34, 2), (37, 2), (38, 1)] +``` + +### Ejercicios: Nivel 2 + +1. Crea una clase llamada PersonAccount. Debe tener firstname, lastname, incomes, expenses como atributos y métodos para añadir ingresos, añadir gastos y calcular el balance. + +### Ejercicios: Nivel 3 + +1. El siguiente código es una función; conviértelo en una clase con comportamiento equivalente. + +```python +def print_products(*args, **kwargs): + for product in args: + print(product) + print(kwargs) + for key in kwargs: + print(f"{key}: {kwargs[key]}") + +print_products("apple", "banana", "orange", vegetable="tomato", juice="orange") +``` + +```sh +apple +banana +orange +{'vegetable': 'tomato', 'juice': 'orange'} +vegetable: tomato +juice: orange +``` + +2. En la clase PersonAccount diseña atributos firstname, lastname, incomes y expenses y añade métodos para calcular el ingreso neto de la persona. + +🎉 ¡Felicidades! 🎉 + +[<< Día 20](./20_python_package_manager_sp.md) | [Día 22 >>](./22_web_scraping_sp.md) \ No newline at end of file diff --git a/Spanish/22_web_scraping_sp.md b/Spanish/22_web_scraping_sp.md new file mode 100644 index 000000000..43e5b858a --- /dev/null +++ b/Spanish/22_web_scraping_sp.md @@ -0,0 +1,89 @@ +# 30 Días de Python: Día 22 - Web scraping + +- [Día 22](#-día-22) + - [Web scraping con Python](#web-scraping-con-python) + - [¿Qué es el web scraping?](#qué-es-el-web-scraping) + - [💻 Ejercicios: Día 22](#-ejercicios-día-22) + +# 📘 Día 22 + +## Web scraping con Python + +### ¿Qué es el web scraping? + +Internet está lleno de datos que pueden utilizarse para distintos fines. Para recopilar esos datos necesitamos saber cómo extraerlos de sitios web. + +El web scraping es el proceso de extraer y recopilar datos de sitios web y almacenarlos en una máquina local o en una base de datos. + +En esta sección usaremos los paquetes requests y BeautifulSoup (versión 4). + +Para empezar necesitas _requests_,_beautifulsoup4_ y un _sitio web_: + +```sh +pip install requests +pip install beautifulsoup4 +``` + +Para hacer scraping necesitas conocimientos básicos de etiquetas HTML y selectores CSS. Usamos etiquetas HTML,clases y/o IDs para localizar contenido en la página. +Importemos requests y BeautifulSoup: + +```py +import requests +from bs4 import BeautifulSoup +``` + +Declaremos una variable url con el sitio que queremos scrapear: + +```py +import requests +from bs4 import BeautifulSoup +url = 'https://archive.ics.uci.edu/ml/datasets.php' + +# Usamos requests.get para obtener datos de la URL +response = requests.get(url) +# Comprobar el estado +status = response.status_code +print(status) # 200 indica éxito +``` + +```sh +200 +``` + +Parsear el contenido con BeautifulSoup: + +```py +import requests +from bs4 import BeautifulSoup +url = 'https://archive.ics.uci.edu/ml/datasets.php' + +response = requests.get(url) +content = response.content # obtenemos todo el contenido del sitio +soup = BeautifulSoup(content, 'html.parser') # BeautifulSoup nos permite parsear el HTML +print(soup.title) # UCI Machine Learning Repository: Data Sets +print(soup.title.get_text()) # UCI Machine Learning Repository: Data Sets +print(soup.body) # muestra el cuerpo completo de la página +print(response.status_code) + +tables = soup.find_all('table', {'cellpadding':'3'}) +# Localizamos tablas cuyo atributo cellpadding tenga el valor 3 +# Podemos usar id, class o etiquetas HTML para seleccionar elementos; consulta la documentación de BeautifulSoup para más información +table = tables[0] # el resultado es una lista; tomamos el primer elemento +for td in table.find('tr').find_all('td'): + print(td.text) +``` + +Si ejecutas este código verás que la extracción está incompleta.Puedes continuar para completarla,ya que forma parte del ejercicio 1. +Consulta la documentación de BeautifulSoup para más detalles: https://www.crummy.com/software/BeautifulSoup/bs4/doc/#quick-start + +🌕 Vas por muy buen camino.Solo te faltan ocho días para alcanzar una meta impresionante.Ahora haz los ejercicios para practicar. + +## 💻 Ejercicios: Día 22 + +1. Raspa el siguiente sitio y guarda los datos como un archivo JSON (url = 'http://www.bu.edu/president/boston-university-facts-stats/'). +2. Extrae las tablas de esta URL (https://archive.ics.uci.edu/ml/datasets.php) y conviértelas a un archivo JSON. +3. Raspa la tabla de presidentes y guarda los datos como JSON (https://en.wikipedia.org/wiki/List_of_presidents_of_the_United_States).Esta tabla no está muy bien estructurada,por lo que la extracción puede llevar tiempo. + +🎉 ¡Felicidades!🎉 + +[<< Día 21](./21_classes_and_objects_sp.md) | [Día 23 >>](./23_virtual_environment_sp.md) \ No newline at end of file diff --git a/Spanish/23_virtual_environment_sp.md b/Spanish/23_virtual_environment_sp.md new file mode 100644 index 000000000..fd66a3f17 --- /dev/null +++ b/Spanish/23_virtual_environment_sp.md @@ -0,0 +1,96 @@ +# 30 Días de Python: Día 23 - Entornos virtuales + +- [Día 23](#-día-23) + - [Configurar un entorno virtual](#configurar-un-entorno-virtual) + - [💻 Ejercicios: Día 23](#-ejercicios-día-23) + +# 📘 Día 23 + +## Configurar un entorno virtual + +Al comenzar un proyecto es recomendable usar un entorno virtual. Un entorno virtual nos permite crear un entorno aislado o independiente, evitando conflictos de dependencias entre proyectos. Si ejecutas pip freeze en la terminal verás todos los paquetes instalados en la máquina. Con virtualenv solo tendrás acceso a los paquetes instalados en ese entorno específico. Abre tu terminal e instala virtualenv: + +```sh +pip install virtualenv +``` + +Dentro de la carpeta 30DaysOfPython crea un directorio llamado flask_project. + +Una vez instalado virtualenv, entra en la carpeta del proyecto y crea el entorno virtual: + +Para Mac/Linux: +```sh +virtualenv venv +``` + +Para Windows: +```sh +python -m venv venv +``` + +A mí me gusta nombrar el entorno como venv, pero puedes elegir otro nombre. Usa ls (o dir en Windows) para comprobar que venv se creó: + +```sh +ls +# venv/ +``` + +Activa el entorno virtual desde la carpeta del proyecto: + +Para Mac/Linux: +```sh +source venv/bin/activate +``` + +En Windows la activación puede variar según PowerShell o Git Bash. + +Para Windows PowerShell: +```sh +venv\Scripts\activate +``` + +Para Windows Git Bash: +```sh +venv\Scripts\. activate +``` + +Tras ejecutar el comando de activación,el prompt mostrará el nombre del entorno (venv) al inicio.Ejemplo: + +```sh +(venv) user@host:~/Desktop/30DaysOfPython/flask_project$ +``` + +Ahora,si ejecutas pip freeze no verás los paquetes globales;solo los del entorno.Instalemos Flask para este proyecto: + +```sh +pip install Flask +``` + +Después,comprobemos los paquetes instalados: + +```sh +pip freeze +# ejemplo de salida: +# Click==7.0 +# Flask==1.1.1 +# itsdangerous==1.1.0 +# Jinja2==2.10.3 +# MarkupSafe==1.1.1 +# Werkzeug==0.16.0 +``` + +Cuando termines,ejecuta deactivate para salir del entorno activo: + +```sh +deactivate +``` + +Los módulos necesarios para trabajar con Flask ya están instalados en el entorno del proyecto.Es buena práctica añadir venv al archivo .gitignore para no subir el entorno a GitHub. + +## 💻 Ejercicios: Día 23 + +1. Crea un directorio de proyecto con un entorno virtual siguiendo el ejemplo anterior. + +🎉 ¡Felicidades! 🎉 + +[<< Día 22](./22_web_scraping_sp.md) | [Día 24 >>](./24_statistics_sp.md) \ No newline at end of file diff --git a/Spanish/24_statistics_sp.md b/Spanish/24_statistics_sp.md new file mode 100644 index 000000000..191c245e1 --- /dev/null +++ b/Spanish/24_statistics_sp.md @@ -0,0 +1,564 @@ +# 30 Días de Python: Día 24 - Estadística + +- [Día 24](#-día-24) + - [Análisis estadístico con Python](#análisis-estadístico-con-python) + - [Estadística](#estadística) + - [Datos](#datos) + - [Módulo statistics](#módulo-statistics) +- [NumPy](#numpy) + - [Importar NumPy](#importar-numpy) + - [Crear arrays con NumPy](#crear-arrays-con-numpy) + - [Crear arrays enteros con NumPy](#crear-arrays-enteros-con-numpy) + - [Crear arrays float con NumPy](#crear-arrays-float-con-numpy) + - [Crear arrays booleanos con NumPy](#crear-arrays-booleanos-con-numpy) + - [Crear arrays multidimensionales con NumPy](#crear-arrays-multidimensionales-con-numpy) + - [Convertir arrays de NumPy a listas](#convertir-arrays-de-numpy-a-listas) + - [Crear arrays desde tuplas](#crear-arrays-desde-tuplas) + - [Forma (shape) de arrays de NumPy](#forma-shape-de-arrays-de-numpy) + - [Tipo de datos de arrays de NumPy](#tipo-de-datos-de-arrays-de-numpy) + - [Tamaño (size) de arrays de NumPy](#tamaño-size-de-arrays-de-numpy) + - [Operaciones matemáticas con NumPy](#operaciones-matemáticas-con-numpy) + - [Suma](#suma) + +# 📘 Día 24 + +## Análisis estadístico con Python + +## Estadística + +La estadística es la disciplina que estudia la recolección, organización, presentación, análisis, interpretación y comunicación de datos. +La estadística es una rama de las matemáticas y es un conocimiento previo recomendable para ciencia de datos y machine learning. Es un campo muy amplio; en esta sección nos centraremos solo en las partes más relevantes. +Al completar este reto puedes avanzar hacia desarrollo web, análisis de datos, machine learning o ciencia de datos. En algún punto de tu carrera profesional te enfrentarás a datos que necesitan ser procesados. Tener nociones de estadística te ayudará a tomar decisiones basadas en datos: como dice el dicho, "los datos nos hablan". + +## Datos + +¿Qué son los datos? Los datos son cualquier conjunto de caracteres recogidos y transformados con algún propósito, usualmente para análisis. Pueden ser texto, números, imágenes, audio o vídeo. Si los datos carecen de contexto son poco útiles para humanos o máquinas. Para extraer significado necesitamos herramientas que los procesen. + +El flujo de trabajo en análisis de datos, ciencia de datos o machine learning comienza siempre por los datos. Pueden provenir de fuentes externas o ser generados. Existen datos estructurados y no estructurados. + +Los datos pueden ser pequeños o masivos. Muchos de los formatos de datos que encontrarás ya se han presentado en la sección de manejo de archivos. + +## Módulo statistics + +El módulo _statistics_ de Python ofrece funciones para cálculos estadísticos sobre datos numéricos. No compite con bibliotecas avanzadas de terceros (NumPy, SciPy) ni con paquetes profesionales de estadística, sino que provee funcionalidades a un nivel similar al de calculadoras científicas o gráficas. + +# NumPy + +Como lenguaje general, Python se potencia con librerías como numpy, scipy, matplotlib y pandas, transformándose en un entorno potente para computación científica. + +NumPy es la librería central para computación científica en Python; ofrece arrays multidimensionales de alto rendimiento y herramientas para operar con ellos. + +Para trabajar con notebooks es recomendable usar Jupyter. Puedes instalar Anaconda para disponer de Jupyter y muchas librerías preinstaladas. + +```sh +pip install numpy +``` + +## Importar NumPy + +Si usas Jupyter (recomendado), puedes seguir este notebook de ejemplo. + +```py +# cómo importar numpy +import numpy as np +# cómo comprobar la versión de numpy +print('numpy:', np.__version__) +# ver métodos disponibles +print(dir(np)) +``` + +## Crear arrays con NumPy + +### Crear arrays enteros con NumPy + +```py +# crear una lista de Python +python_list = [1,2,3,4,5] + +# comprobar tipo +print('Type:', type(python_list)) # +print(python_list) # [1, 2, 3, 4, 5] + +two_dimensional_list = [[0,1,2], [3,4,5], [6,7,8]] +print(two_dimensional_list) # [[0, 1, 2], [3, 4, 5], [6, 7, 8]] + +# crear un array NumPy desde la lista de Python +numpy_array_from_list = np.array(python_list) +print(type(numpy_array_from_list)) # +print(numpy_array_from_list) # array([1, 2, 3, 4, 5]) +``` + +### Crear arrays float con NumPy + +```py +# lista de Python +python_list = [1,2,3,4,5] + +numpy_array_from_list2 = np.array(python_list, dtype=float) +print(numpy_array_from_list2) # array([1., 2., 3., 4., 5.]) +``` + +### Crear arrays booleanos con NumPy + +```py +numpy_bool_array = np.array([0, 1, -1, 0, 0], dtype=bool) +print(numpy_bool_array) # array([False, True, True, False, False]) +``` + +### Crear arrays multidimensionales con NumPy + +Un array de NumPy puede tener múltiples filas y columnas: + +```py +two_dimensional_list = [[0,1,2], [3,4,5], [6,7,8]] +numpy_two_dimensional_list = np.array(two_dimensional_list) +print(type(numpy_two_dimensional_list)) +print(numpy_two_dimensional_list) +``` + +```sh + +[[0 1 2] + [3 4 5] + [6 7 8]] +``` + +### Convertir arrays de NumPy a listas + +```py +# podemos usar tolist() para convertir un array a lista de Python +np_to_list = numpy_array_from_list.tolist() +print(type(np_to_list)) +print('Array 1D:', np_to_list) +print('Array 2D: ', numpy_two_dimensional_list.tolist()) +``` + +```sh + +Array 1D: [1, 2, 3, 4, 5] +Array 2D: [[0, 1, 2], [3, 4, 5], [6, 7, 8]] +``` + +### Crear arrays desde tuplas + +```py +# crear una tupla en Python +python_tuple = (1,2,3,4,5) +print(type(python_tuple)) # +print('python_tuple: ', python_tuple) # python_tuple: (1, 2, 3, 4, 5) + +numpy_array_from_tuple = np.array(python_tuple) +print(type(numpy_array_from_tuple)) # +print('numpy_array_from_tuple: ', numpy_array_from_tuple) # numpy_array_from_tuple: [1 2 3 4 5] +``` + +### Forma (shape) de arrays de NumPy + +El método shape devuelve una tupla con la forma del array: filas y columnas. Si el array es 1D devuelve su longitud. + +```py +nums = np.array([1, 2, 3, 4, 5]) +print(nums) +print('Forma de nums: ', nums.shape) +print(numpy_two_dimensional_list) +print('Forma de numpy_two_dimensional_list: ', numpy_two_dimensional_list.shape) +three_by_four_array = np.array([[0, 1, 2, 3], + [4,5,6,7], + [8,9,10, 11]]) +print(three_by_four_array.shape) +``` + +```sh +[1 2 3 4 5] +Forma de nums: (5,) +[[0 1 2] + [3 4 5] + [6 7 8]] +Forma de numpy_two_dimensional_list: (3, 3) +(3, 4) +``` + +### Tipo de datos de arrays de NumPy + +Tipos de datos: str, int, float, complex, bool, list, None + +```py +int_lists = [-3, -2, -1, 0, 1, 2,3] +int_array = np.array(int_lists) +float_array = np.array(int_lists, dtype=float) + +print(int_array) +print(int_array.dtype) +print(float_array) +print(float_array.dtype) +``` + +```sh +[-3 -2 -1 0 1 2 3] +int64 +[-3. -2. -1. 0. 1. 2. 3.] +float64 +``` + +### Tamaño (size) de arrays de NumPy + +Para conocer el número de elementos de un array utilizamos size: + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +two_dimensional_list = np.array([[0, 1, 2], + [3, 4, 5], + [6, 7, 8]]) + +print('Tamaño:', numpy_array_from_list.size) # 5 +print('Tamaño:', two_dimensional_list.size) # 9 +``` + +```sh +Tamaño: 5 +Tamaño: 9 +``` + +## Operaciones matemáticas con NumPy + +Los arrays de NumPy permiten operaciones vectorizadas sin necesidad de bucles. + +Operaciones disponibles: + +- Suma (+) +- Resta (-) +- Multiplicación (*) +- División (/) +- Módulo (%) +- División entera (//) +- Potencia (**) + +### Suma + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('Array original: ', numpy_array_from_list) +print('Suma: ', numpy_array_from_list + 2) +print('Suma: ', np.add(numpy_array_from_list, 2)) +``` + +```sh +Array original: [1 2 3 4 5] +Suma: [3 4 5 6 7] +Suma: [3 4 5 6 7] +``` + +### Resta + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('Array original: ', numpy_array_from_list) +print('Resta: ', numpy_array_from_list - 2) +print('Resta: ', np.subtract(numpy_array_from_list, 2)) +``` + +```sh +Array original: [1 2 3 4 5] +Resta: [-1 0 1 2 3] +Resta: [-1 0 1 2 3] +``` + +### Multiplicación + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('Array original: ', numpy_array_from_list) +print('Multiplicación: ', numpy_array_from_list * 2) +print('Multiplicación: ', np.multiply(numpy_array_from_list, 2)) +``` + +```sh +Array original: [1 2 3 4 5] +Multiplicación: [ 2 4 6 8 10] +Multiplicación: [ 2 4 6 8 10] +``` + +### División + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('Array original: ', numpy_array_from_list) +print('División: ', numpy_array_from_list / 2) +print('División: ', np.divide(numpy_array_from_list, 2)) +``` + +```sh +Array original: [1 2 3 4 5] +División: [0.5 1. 1.5 2. 2.5] +División: [0.5 1. 1.5 2. 2.5] +``` + +### Módulo + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('Array original: ', numpy_array_from_list) +print('Módulo: ', numpy_array_from_list % 2) +print('Módulo: ', np.mod(numpy_array_from_list, 2)) +``` + +```sh +Array original: [1 2 3 4 5] +Módulo: [1 0 1 0 1] +Módulo: [1 0 1 0 1] +``` + +### División entera + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('Array original: ', numpy_array_from_list) +print('División entera: ', numpy_array_from_list // 2) +print('División entera: ', np.floor_divide(numpy_array_from_list, 2)) +``` + +```sh +Array original: [1 2 3 4 5] +División entera: [0 1 1 2 2] +División entera: [0 1 1 2 2] +``` + +### Potencia + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5]) +print('Array original: ', numpy_array_from_list) +print('Potencia: ', numpy_array_from_list ** 2) +print('Potencia: ', np.power(numpy_array_from_list, 2)) +``` + +```sh +Array original: [1 2 3 4 5] +Potencia: [ 1 4 9 16 25] +Potencia: [ 1 4 9 16 25] +``` + +## Comprobar tipos de datos + +```py +numpy_int_arr = np.array([1, 2, 3, 4]) +numpy_float_arr = np.array([1.1, 2.0, 3.2]) +numpy_bool_arr = np.array([-3, -2, 0, 1, 2, 3], dtype='bool') + +print(numpy_int_arr.dtype) +print(numpy_float_arr.dtype) +print(numpy_bool_arr.dtype) +``` + +```sh +int64 +float64 +bool +``` + +## Convertir tipos + +Podemos convertir tipos con astype: + +```py +numpy_int_arr = np.array([1, 2, 3, 4], dtype='float') +numpy_int_arr.astype('int').dtype +numpy_float_arr = np.array([1.1, 2.0, 3.2]) +numpy_float_arr.astype('int').dtype +numpy_int_arr = np.array([-3, -2, 0, 1, 2, 3]) +numpy_int_arr.astype('bool').dtype +``` + +```sh +int64 +int64 +bool +``` + +## Arrays multidimensionales + +Una de las ventajas de NumPy es el manejo de arrays multidimensionales: + +```py +two_dimension_array = np.array([(1,2,3),(4,5,6), (7,8,9)]) +print(type(two_dimension_array)) +print(two_dimension_array) +print('Forma: ', two_dimension_array.shape) +print('Tamaño: ', two_dimension_array.size) +print('Tipo de datos: ', two_dimension_array.dtype) +``` + +```sh + +[[1 2 3] + [4 5 6] + [7 8 9]] +Forma: (3, 3) +Tamaño: 9 +Tipo de datos: int64 +``` + +### Acceder a elementos en arrays NumPy + +```py +two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) +first_row = two_dimension_array[0] +second_row = two_dimension_array[1] +third_row = two_dimension_array[2] +print('Primera fila:', first_row) +print('Segunda fila:', second_row) +print('Tercera fila: ', third_row) +``` + +```sh +Primera fila: [1 2 3] +Segunda fila: [4 5 6] +Tercera fila: [7 8 9] +``` + +Obtener columnas: + +```py +first_column= two_dimension_array[:,0] +second_column = two_dimension_array[:,1] +third_column = two_dimension_array[:,2] +print('Primera columna:', first_column) +print('Segunda columna:', second_column) +print('Tercera columna: ', third_column) +``` + +```sh +Primera columna: [1 4 7] +Segunda columna: [2 5 8] +Tercera columna: [3 6 9] +``` + +## Slicing en arrays NumPy + +El slicing es similar al de listas, pero admite dos dimensiones. + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) +print('Array original:', numpy_array_from_list) + +# primer parámetro: inicio +# segundo parámetro: parada +# tercer parámetro: paso + +ten_first_items = numpy_array_from_list[0:10] +print('Primeras 10:', ten_first_items) +first_five_items = numpy_array_from_list[:5] +print('Primeras 5:', first_five_items) +last_five_items = numpy_array_from_list[5:] +print('Últimas 5:', last_five_items) +# índice negativo +last_five_items = numpy_array_from_list[-5:] +print('Últimas 5:', last_five_items) +``` + +```sh +Array original: [ 1 2 3 4 5 6 7 8 9 10] +Primeras 10: [ 1 2 3 4 5 6 7 8 9 10] +Primeras 5: [1 2 3 4 5] +Últimas 5: [ 6 7 8 9 10] +Últimas 5: [ 6 7 8 9 10] +``` + +Seleccionar cada segundo elemento: + +```py +every_two_item = numpy_array_from_list[::2] +print('Cada dos elementos:', every_two_item) +``` + +```sh +Cada dos elementos: [1 3 5 7 9] +``` + +Invertir array: + +```py +reversed_array = numpy_array_from_list[::-1] +print('Array invertido:', reversed_array) +``` + +```sh +Array invertido: [10 9 8 7 6 5 4 3 2 1] +``` + +Slicing en 2D: + +```py +two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) +print(two_dimension_array) +print(two_dimension_array[1, 1]) +print(two_dimension_array[1, 1:3]) +print(two_dimension_array[1:3, 1:3]) +``` + +```sh +[[1 2 3] + [4 5 6] + [7 8 9]] +5 +[5 6] +[[5 6] + [8 9]] +``` + +## Concatenación de arrays en NumPy + +```py +first_array = np.array([1, 2, 3]) +second_array = np.array([4, 5, 6]) +third_array = np.array([7, 8, 9]) +print('Primer array:', first_array) +print('Segundo array:', second_array) +print('Tercer array:', third_array) +``` + +```sh +Primer array: [1 2 3] +Segundo array: [4 5 6] +Tercer array: [7 8 9] +``` + +### Concatenación horizontal + +```py +horizontal_concat = np.hstack((first_array, second_array, third_array)) +print('Concatenación horizontal:', horizontal_concat) +``` + +```sh +Concatenación horizontal: [1 2 3 4 5 6 7 8 9] +``` + +### Concatenación vertical + +```py +vertical_concat = np.vstack((first_array, second_array, third_array)) +print('Concatenación vertical:', vertical_concat) +``` + +```sh +Concatenación vertical: +[[1 2 3] + [4 5 6] + [7 8 9]] +``` + +## Funciones comunes de NumPy + +### Mínimo, máximo, media, mediana y percentiles + +```py +numpy_array_from_list = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) +print('Mínimo:', numpy_array_from_list.min()) +print('Máximo:', numpy_array_from_list.max()) +print('Media:', numpy_array_from_list.mean()) +``` + +🎉 ¡Felicidades! 🎉 + +[<< Día 23](./23_virtual_environment_sp.md) | [Día 25 >>](./25_pandas_sp.md) \ No newline at end of file diff --git a/Spanish/25_pandas_sp.md b/Spanish/25_pandas_sp.md new file mode 100644 index 000000000..b4940cce6 --- /dev/null +++ b/Spanish/25_pandas_sp.md @@ -0,0 +1,536 @@ +# 30 días de desafío de programación en Python: Día 25 - Pandas + +- [Día 25](#-día-25) + - [Pandas](#pandas) + - [InstalarPandas](#instalarpandas) + - [ImportarPandas](#importarpandas) + - [Crear serie de Pandas con índice por defecto](#crear-serie-de-pandas-con-índice-por-defecto) + - [Crear serie de Pandas con índice personalizado](#crear-serie-de-pandas-con-índice-personalizado) + - [Crear serie de Pandas a partir de un diccionario](#crear-serie-de-pandas-a-partir-de-un-diccionario) + - [Crear serie de Pandas constante](#crear-serie-de-pandas-constante) + - [Crear serie de Pandas con Linspace](#crear-serie-de-pandas-con-linspace) + - [DataFrames](#dataframes) + - [Crear DataFrame a partir de una lista de listas](#crear-dataframe-a-partir-de-una-lista-de-listas) + - [Crear DataFrame a partir de un diccionario](#crear-dataframe-a-partir-de-un-diccionario) + - [Crear DataFrame a partir de una lista de diccionarios](#crear-dataframe-a-partir-de-una-lista-de-diccionarios) + - [Leer archivos CSV con Pandas](#leer-archivos-csv-con-pandas) + - [Exploración de datos](#exploración-de-datos) + - [Modificar DataFrame](#modificar-dataframe) + - [Crear DataFrame](#crear-dataframe) + - [Añadir nueva columna](#añadir-nueva-columna) + - [Modificar valores de una columna](#modificar-valores-de-una-columna) + - [Formatear columnas del DataFrame](#formatear-columnas-del-dataframe) + - [Comprobar tipos de datos de columnas](#comprobar-tipos-de-datos-de-columnas) + - [Indexación booleana](#indexación-booleana) + - [Ejercicios: Día 25](#ejercicios-día-25) + +# 📘 Día 25 + +## Pandas + +Pandas es una librería open source, de alto rendimiento y fácil de usar para el manejo y análisis de estructuras de datos en Python. +Pandas aporta estructuras y herramientas para manejar datos tabulares: *Series* y *DataFrames*. +Pandas proporciona utilidades para operaciones de datos como: + +- reshape (remodelar) +- merge (fusionar) +- sort (ordenar) +- slice (rebanar) +- aggregate (agregar) +- interpolate (interpolar) + +Si usas Anaconda no es necesario instalar pandas. + +### InstalarPandas + +Para Mac: +```sh +pip install conda +conda install pandas +``` + +Para Windows: +```sh +pip install conda +pip install pandas +``` + +Las estructuras de datos de Pandas se basan en *Series* y *DataFrames*. + +Una *Serie* es una columna, mientras que un DataFrame es una tabla multidimensional compuesta por un conjunto de *Series*. Para crear una serie de Pandas, debemos usar un array unidimensional de NumPy o una lista de Python. +Veamos un ejemplo de una serie: + +Serie de Pandas de nombres + +![pandas series](../images/pandas-series-1.png) + +Serie de países + +![pandas series](../images/pandas-series-2.png) + +Serie de ciudades + +![pandas series](../images/pandas-series-3.png) + +Como puedes ver, una serie de Pandas es simplemente una columna de datos. Si queremos tener varias columnas, usamos un DataFrame. El siguiente ejemplo muestra un DataFrame de Pandas. + +Veamos un ejemplo de un DataFrame de Pandas: + +![Pandas data frame](../images/pandas-dataframe-1.png) + +Un DataFrame es una colección de filas y columnas. Mira la tabla a continuación; tiene más columnas que el ejemplo anterior: + +![Pandas data frame](../images/pandas-dataframe-2.png) + +A continuación, veremos cómo importar Pandas y cómo crear Series y DataFrames con Pandas. + +### Importar Pandas + +```python +import pandas as pd # importar pandas como pd +import numpy as np # importar numpy como np +``` + +### Crear serie de Pandas con índice por defecto + +```python +nums = [1, 2, 3, 4,5] +s = pd.Series(nums) +print(s) +``` + +```sh +0 1 +1 2 +2 3 +3 4 +4 5 +dtype: int64 +``` + +### Crear serie de Pandas con índice personalizado + +```python +nums = [1, 2, 3, 4, 5] +s = pd.Series(nums, index=[1, 2, 3, 4, 5]) +print(s) +``` + +```sh +1 1 +2 2 +3 3 +4 4 +5 5 +dtype: int64 +``` + +```python +fruits = ['Orange','Banana','Mango'] +fruits = pd.Series(fruits, index=[1, 2, 3]) +print(fruits) +``` + +```sh +1 Orange +2 Banana +3 Mango +dtype: object +``` + +### Crear serie de Pandas a partir de un diccionario + +```python +dct = {'name':'Asabeneh','country':'Finland','city':'Helsinki'} +``` + +```python +s = pd.Series(dct) +print(s) +``` + +```sh +name Asabeneh +country Finland +city Helsinki +dtype: object +``` + +### Crear serie de Pandas constante + +```python +s = pd.Series(10, index = [1, 2, 3]) +print(s) +``` + +```sh +1 10 +2 10 +3 10 +dtype: int64 +``` + +### Crear serie de Pandas con Linspace + +```python +s = pd.Series(np.linspace(5, 20, 10)) # linspace(inicio, fin, número_de_elementos) +print(s) +``` + +```sh +0 5.000000 +1 6.666667 +2 8.333333 +3 10.000000 +4 11.666667 +5 13.333333 +6 15.000000 +7 16.666667 +8 18.333333 +9 20.000000 +dtype: float64 +``` + +## DataFrames + +Pandas DataFrame se puede crear de diferentes maneras: + +- Crear a partir de una lista de listas +- Crear a partir de un diccionario +- Crear a partir de una lista de diccionarios +- Crear a partir de un archivo CSV + +### Crear DataFrame a partir de una lista de listas + +```python +data = [ + ['Asabeneh', 'Finland', 'Helsinki'], + ['David', 'UK', 'London'], + ['John', 'Sweden', 'Stockholm'] +] +df = pd.DataFrame(data, columns=['Name', 'Country', 'City']) +print(df) +``` + +```sh + Name Country City +0 Asabeneh Finland Helsinki +1 David UK London +2 John Sweden Stockholm +``` + +### Crear DataFrame a partir de un diccionario + +```python +data = {'Name': ['Asabeneh', 'David', 'John'], 'Country':[ + 'Finland', 'UK', 'Sweden'], 'City': ['Helsinki', 'London', 'Stockholm']} +df = pd.DataFrame(data) +print(df) +``` + +```sh + Name Country City +0 Asabeneh Finland Helsinki +1 David UK London +2 John Sweden Stockholm +``` + +### Crear DataFrame a partir de una lista de diccionarios + +```python +data = [ + {'Name': 'Asabeneh', 'Country': 'Finland', 'City': 'Helsinki'}, + {'Name': 'David', 'Country': 'UK', 'City': 'London'}, + {'Name': 'John', 'Country': 'Sweden', 'City': 'Stockholm'}] +df = pd.DataFrame(data) +print(df) +``` + +```sh + Name Country City +0 Asabeneh Finland Helsinki +1 David UK London +2 John Sweden Stockholm +``` + +## Leer archivos CSV con Pandas + +Leamos el archivo en el directorio de datos, leeremos el archivo weight-height.csv pasando la ruta del archivo como parámetro a la función pd.read_csv(). Usemos el método head() para ver las primeras cinco filas. + +```python +import pandas as pd + +df = pd.read_csv('./data/weight-height.csv') +print(df.head()) # por defecto muestra las primeras 5 filas +``` + +```sh + Gender Height Weight +0 Male 73.847017 241.893563 +1 Male 68.781904 162.310473 +2 Male 74.110105 212.740856 +3 Male 71.730978 220.042470 +4 Male 69.881796 206.349801 +``` + +Veamos las últimas cinco filas usando el método tail(): + +```python +print(df.tail()) # últimas 5 filas +``` + +```sh + Gender Height Weight +9995 Female 66.172652 136.777454 +9996 Female 67.067155 170.867906 +9997 Female 63.867992 128.475319 +9998 Female 69.034243 163.852461 +9999 Female 61.944246 113.649103 +``` + +### Exploración de datos + +Obtenemos el número de filas y columnas con la propiedad shape: +```python +print(df.shape) # número de filas y columnas +``` + +```sh +(10000, 3) +``` + +Como puedes ver, este conjunto de datos tiene 10000 filas y 3 columnas. Obtengamos más información sobre los datos: + +```python +print(df.columns) # nombres de las columnas +print(df.head(10)) # primeras 10 filas +print(df.tail(10)) # últimas 10 filas +print(df['Gender'].value_counts()) # contar cuántos hay de cada uno +print(df.describe()) # resumen estadístico de los datos +``` + +```sh +Index(['Gender', 'Height', 'Weight'], dtype='object') + Gender Height Weight +0 Male 73.847017 241.893563 +1 Male 68.781904 162.310473 +2 Male 74.110105 212.740856 +3 Male 71.730978 220.042470 +4 Male 69.881796 206.349801 +5 Male 68.767792 152.212156 +6 Male 67.961960 183.927889 +7 Male 68.563817 175.929316 +8 Male 71.267570 196.028855 +9 Male 72.040119 205.801386 + Gender Height Weight +9990 Female 64.744846 139.725595 +9991 Female 62.109532 132.451630 +9992 Female 62.593008 130.727432 +9993 Female 62.100222 131.220717 +9994 Female 63.421888 133.330246 +9995 Female 66.172652 136.777454 +9996 Female 67.067155 170.867906 +9997 Female 63.867992 128.475319 +9998 Female 69.034243 163.852461 +9999 Female 61.944246 113.649103 +Gender +Male 5000 +Female 5000 +Name: count, dtype: int64 + Height Weight +count 10000.000000 10000.000000 +mean 66.367560 161.440357 +std 3.847528 32.108439 +min 54.263133 64.700127 +25% 63.505620 135.818051 +50% 66.318070 161.212928 +75% 69.174262 187.169525 +max 78.998742 269.989699 +``` + +## Modificar DataFrame + +### Crear DataFrame + +Primero, creemos un DataFrame usando lo que aprendimos anteriormente: + +```python +# importar pandas y numpy +import pandas as pd +import numpy as np +# datos +data = [ + {"Name": "Juan Pérez", "Country":"China", "City":"Shanghái"}, + {"Name": "Luis", "Country":"China", "City":"Pekín"}, + {"Name": "Carlos", "Country":"China", "City":"Cantón"}] +# crear DataFrame +df = pd.DataFrame(data) +print(df) +``` + +```sh + Name Country City +0 Juan Pérez China Shanghái +1 Luis China Pekín +2 Carlos China Cantón +``` + +### Añadir nueva columna + +```python +weights = [74, 78, 69] +df['Weight'] = weights +df +``` + +```sh + Name Country City Weight +0 Juan Pérez China Shanghái 74 +1 Luis China Pekín 78 +2 Carlos China Cantón 69 +``` + +```python +heights = [173, 175, 169] +df['Height'] = heights +df +``` + +```sh + Name Country City Weight Height +0 Juan Pérez China Shanghái 74 173 +1 Luis China Pekín 78 175 +2 Carlos China Cantón 69 169 +``` + +### Modificar valores de una columna + +Podemos modificar una columna de tres maneras: + +1. Asignación directa: +```python +df['Name'] = ['Miguel', 'Ana', 'Sofía'] +df +``` + +```sh + Name Country City Weight Height +0 Miguel China Shanghái 74 173 +1 Ana China Pekín 78 175 +2 Sofía China Cantón 69 169 +``` + +2. Modificando con loc: +```python +df.loc[1, 'Name'] = 'Lucía' +df +``` + +```sh + Name Country City Weight Height +0 Miguel China Shanghái 74 173 +1 Lucía China Pekín 78 175 +2 Sofía China Cantón 69 169 +``` + +3. Modificando con iloc: +```python +print('Datos originales:\n', df) +df.iloc[1, 0] = 'Paco' +print('Datos modificados:\n', df) +``` + +```sh +Datos originales: + Name Country City Weight Height +0 Miguel China Shanghái 74 173 +1 Lucía China Pekín 78 175 +2 Sofía China Cantón 69 169 +Datos modificados: + Name Country City Weight Height +0 Miguel China Shanghái 74 173 +1 Paco China Pekín 78 175 +2 Sofía China Cantón 69 169 +``` + +### Formatear columnas del DataFrame + +```python +# añadir columna BMI: peso(kg) / altura^2(m). Redondear a 2 decimales. +df['BMI'] = np.round(df['Weight'] / ((df['Height'] * 0.01) ** 2), 2) +print(df) +``` + +```sh + Name Country City Weight Height BMI +0 Miguel China Shanghái 74 173 24.73 +1 Paco China Pekín 78 175 25.47 +2 Sofía China Cantón 69 169 24.16 +``` + +## Comprobar tipos de datos de columnas + +```python +print(df.dtypes) +``` + +```sh +Name object +Country object +City object +Weight int64 +Height int64 +BMI float64 +dtype: object +``` + +### Indexación booleana + +```python +# crear DataFrame +df = pd.DataFrame({ + 'name': ['Juan', 'Luis', 'Carlos', 'Pedro'], + 'country': ['China', 'Estados Unidos', 'Reino Unido', 'España'], + 'age': [25, 15, 22, 28], + 'empleado': [True, False, True, False] +}) + +print(df) +``` + +```sh + name country age empleado +0 Juan China 25 True +1 Luis Estados Unidos 15 False +2 Carlos Reino Unido 22 True +3 Pedro España 28 False +``` + +Filtrando edad > 20 y empleado == True: +```python +print(df[(df['age'] > 20) & (df['empleado'] == True)]) +``` + +```sh + name country age empleado +0 Juan China 25 True +2 Carlos Reino Unido 22 True +``` + +## Ejercicios: Día 25 + +1. Lee el archivo [hacker_news.csv](../data/hacker_news.csv) y muestra las primeras cinco filas. +2. Obtén la columna de títulos. +3. Obtén el número de filas y columnas. +4. Obtén las primeras diez y las últimas diez filas. +5. Obtén la segunda y cuarta fila, columnas 2 a 4. +6. Filtra las filas cuyo tema sea Python. +7. Cuenta cuántas filas tienen tema Python. +8. Filtra las filas con votos mayores a 200. +9. Ordena el DataFrame por votos (ascendente). +10. Ordena el DataFrame por votos (descendente). +11. Excluye las filas con tema Python y ordena por votos. + +🎉 ¡Felicidades! 🎉 + +[<< Día 24](./24_statistics_sp.md) | [Día 26 >>](./26_python_web_sp.md) \ No newline at end of file diff --git a/Spanish/26_python_web_sp.md b/Spanish/26_python_web_sp.md new file mode 100644 index 000000000..cf4fa826e --- /dev/null +++ b/Spanish/26_python_web_sp.md @@ -0,0 +1,816 @@ +# 30 días de desafío de programación en Python: Día 26 - Programación web con Python + +- [Día 26](#-día-26) + - [Programación web con Python](#programación-web-con-python) + - [Flask](#flask) + - [Estructura de carpetas](#estructura-de-carpetas) + - [Configurar el proyecto](#configurar-el-proyecto) + - [Crear rutas](#crear-rutas) + - [Crear plantillas](#crear-plantillas) + - [Script de Python](#script-de-python) + - [Navegación](#navegación) + - [Crear plantilla base](#crear-plantilla-base) + - [Servir archivos estáticos](#servir-archivos-estáticos) + - [Despliegue](#despliegue) + - [Crear cuenta en Heroku](#crear-cuenta-en-heroku) + - [Iniciar sesión en Heroku](#iniciar-sesión-en-heroku) + - [Crear requirements y Procfile](#crear-requirements-y-procfile) + - [Enviar el proyecto a Heroku](#enviar-el-proyecto-a-heroku) + - [Ejercicios: Día 26](#ejercicios-día-26) + +# 📘 Día 26 + +## Programación web con Python + +Python es un lenguaje de programación versátil que se puede utilizar para una variedad de propósitos. En esta sección, veremos cómo usar Python para el desarrollo web. Python tiene muchos marcos web disponibles. Django y Flask son los más populares. Hoy, aprenderemos a usar Flask para el desarrollo web. + +### Flask + +Flask es un marco de desarrollo web escrito en Python. Flask utiliza el motor de plantillas Jinja2. Flask también se puede usar con otras bibliotecas modernas de frontend como React. + +Si aún no has instalado el paquete virtualenv, instálalo primero. Un entorno virtual permitirá aislar las dependencias del proyecto de las dependencias de la máquina local. + +#### Estructura de carpetas + +Después de completar todos los pasos, la estructura de archivos de tu proyecto debería ser la siguiente: + +```sh +├── Procfile +├── app.py +├── env +│ ├── bin +├── requirements.txt +├── static +│ └── css +│ └── main.css +└── templates + ├── about.html + ├── home.html + ├── layout.html + ├── post.html + └── result.html +``` + +### Configurar el proyecto + +Comienza a usar Flask siguiendo estos pasos. + +Paso 1: Instala virtualenv con el siguiente comando. + +```sh +pip install virtualenv +``` + +Paso 2: + +```sh +asabeneh@Asabeneh:~/Desktop$ mkdir python_for_web +asabeneh@Asabeneh:~/Desktop$ cd python_for_web/ +asabeneh@Asabeneh:~/Desktop/python_for_web$ virtualenv venv +asabeneh@Asabeneh:~/Desktop/python_for_web$ source venv/bin/activate +(env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze +(env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip install Flask +(env) asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze +Click==7.0 +Flask==1.1.1 +itsdangerous==1.1.0 +Jinja2==2.10.3 +MarkupSafe==1.1.1 +Werkzeug==0.16.0 +(env) asabeneh@Asabeneh:~/Desktop/python_for_web$ +``` + +Hemos creado un directorio de proyecto llamado python_for_web. Dentro del proyecto, hemos creado un entorno virtual llamado *venv*, que puede tener cualquier nombre. Luego, activamos el entorno virtual. Usamos pip freeze para verificar los paquetes instalados en el directorio del proyecto. El resultado de pip freeze está vacío porque aún no se han instalado paquetes. + +Ahora, creemos el archivo app.py en el directorio del proyecto y escribamos el siguiente código. El archivo app.py será el archivo principal del proyecto. El siguiente código contiene el módulo flask y el módulo os. + +### Crear rutas + +Ruta de inicio. + +```py +# importar flask +from flask import Flask +import os # importar el módulo del sistema operativo + +app = Flask(__name__) + +@app.route('/') # este decorador crea la ruta de inicio +def home (): + return '

    Bienvenido

    ' + +@app.route('/about') +def about(): + return '

    Acerca de nosotros

    ' + + +if __name__ == '__main__': + # usamos variables de entorno para despliegue + # funciona tanto para producción como para desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Para ejecutar la aplicación flask, ingresa python app.py en el directorio principal de la aplicación flask. + +Después de ejecutar _python app.py_, verifica el puerto 5000 de tu localhost. + +Agreguemos una ruta adicional creando la ruta "acerca de". + +```py +# importar flask +from flask import Flask +import os # importar el módulo del sistema operativo + +app = Flask(__name__) + +@app.route('/') # este decorador crea la ruta de inicio +def home (): + return '

    Bienvenido

    ' + +@app.route('/about') +def about(): + return '

    Acerca de nosotros

    ' + +if __name__ == '__main__': + # usamos variables de entorno para despliegue + # funciona tanto para producción como para desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Ahora, hemos agregado la ruta acerca de en el código anterior. ¿Pero qué pasa si queremos renderizar un archivo HTML en lugar de una cadena? Podemos renderizar un archivo HTML usando la función *render_template*. Creamos una carpeta llamada templates en el directorio del proyecto y dentro de ella, creamos home.html y about.html. También importamos *render_template* desde flask. + +### Crear plantillas + +Crea archivos HTML dentro de la carpeta templates. + +home.html + +```html + + + + + + Página principal + + + +

    Bienvenido de vuelta

    + + +``` + +about.html + +```html + + + + + + Acerca + + + +

    Acerca de nosotros

    + + +``` + +### Script de Python (con render_template) + +app.py + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo del sistema operativo + +app = Flask(__name__) + +@app.route('/') # este decorador crea la ruta de inicio +def home (): + return render_template('home.html') + +@app.route('/about') +def about(): + return render_template('about.html') + +if __name__ == '__main__': + # usamos variables de entorno para despliegue + # funciona tanto para producción como para desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Como puedes ver, para acceder a diferentes páginas o navegar, necesitamos un sistema de navegación. Agreguemos un enlace para cada página, o creemos un diseño que usemos para cada página. + +### Navegación + +```html + +``` + +Ahora, podemos navegar entre páginas usando los enlaces anteriores. Creamos una página adicional para manejar los datos del formulario. Puedes nombrarla como quieras, yo prefiero llamarla post.html. + +Podemos inyectar datos en el archivo HTML usando el motor de plantillas Jinja2. + +```py +# importar flask +from flask import Flask, render_template, request, redirect, url_for +import os # importar el módulo del sistema operativo + +app = Flask(__name__) + +@app.route('/') # este decorador crea la ruta de inicio +def home (): + techs = ['HTML', 'CSS', 'Flask', 'Python'] + name = '30 días de desafío de programación en Python' + return render_template('home.html', techs=techs, name=name, title='Página principal') + +@app.route('/about') +def about(): + name = '30 días de desafío de programación en Python' + return render_template('about.html', name=name, title='Acerca de nosotros') + +@app.route('/post') +def post(): + name = 'Artículos sobre programación' + path = request.path + return render_template('post.html', name=name, path=path, title='Artículos') + +if __name__ == '__main__': + # usamos variables de entorno para despliegue + # funciona tanto para producción como para desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +home.html + +```html + + + + + + {{title}} + + + + +

    Bienvenido de vuelta a {{name}}

    +
      + {% for tech in techs %} +
    • {{tech}}
      • + {% endfor %} +
    + + +``` + +about.html + +```html + + + + + + {{title}} + + + + +

    Acerca de {{name}}

    + + +``` + +post.html + +```html + + + + + + {{title}} + + + + +

    {{name}}

    +

    Ruta actual: {{path}}

    +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + + +``` + +Ahora, agreguemos una ruta que procese los datos del formulario. Usamos el método POST porque recibiremos datos del formulario. + +```py +# importar flask +from flask import Flask, render_template, request, redirect, url_for +import os # importar el módulo del sistema operativo + +app = Flask(__name__) + +@app.route('/') # este decorador crea la ruta de inicio +def home(): + techs = ['HTML', 'CSS', 'Flask', 'Python'] + name = '30 días de desafío de programación en Python' + return render_template('home.html', techs=techs, name=name, title='Página principal') + +@app.route('/about') +def about(): + name = '30 días de desafío de programación en Python' + return render_template('about.html', name=name, title='Acerca de nosotros') + +@app.route('/post') +def post(): + name = 'Artículos' + return render_template('post.html', name=name, title='Artículos') + + +@app.route('/result', methods=['POST']) +def result(): + first_name = request.form['first_name'] + last_name = request.form['last_name'] + old_job = request.form['old_job'] + current_job = request.form['current_job'] + country = request.form['country'] + print(first_name, last_name, old_job, current_job, country) + result_data = { + 'first_name':first_name, + 'last_name':last_name, + 'old_job': old_job, + 'current_job': current_job, + 'country':country + } + return render_template('result.html', result_data = result_data, title= 'Resultado') + +if __name__ == '__main__': + # usamos variables de entorno para despliegue + # funciona tanto para producción como para desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +result.html + +```html + + + + + + {{title}} + + + + +

    Datos del formulario

    + +
      +
    • Nombre: {{result_data.first_name}}
      • +
    • Apellido: {{result_data.last_name}}
      • +
    • Trabajo anterior: {{result_data.old_job}}
      • +
    • Trabajo actual: {{result_data.current_job}}
      • +
    • País: {{result_data.country}}
      • +
    + + +``` + +En el mundo real, no repetiríamos el código HTML en todas las páginas. En su lugar, crearíamos una plantilla base y las demás heredarían de ella. Usemos la herencia (plantillas). Ahora, en lugar de tres archivos diferentes, necesitamos crear un archivo de diseño llamado layout.html. Luego, otros archivos heredarán de él. + +### Crear plantilla base (layout) + +layout.html + +```html + + + + + + + + {% if title %} + 30 Días de Python - {{ title}} + {% else %} + 30 Días de Python + {% endif %} + + + +
    +
    + + +
    +
    +
    + {% block content %} {% endblock %} +
    + + +``` + +En el diseño anterior, hemos creado una plantilla común que puede ser utilizada por todas las páginas que heredan de ella. Dentro del diseño, podemos ver los enlaces de navegación. Usamos las etiquetas {% block content %}{% endblock %} para permitir que las subplantillas agreguen contenido. + +home.html + +```html +{% extends 'layout.html' %} {% block content %} +
    +

    Bienvenido de vuelta a {{name}}

    +

    + Este proyecto fue construido usando las siguientes tecnologías: + Flask, Python + y HTML, CSS +

    +
      + {% for tech in techs %} +
    • {{tech}}
      • + + {% endfor %} +
    +
    + +{% endblock %} +``` + +about.html + +```html +{% extends 'layout.html' %} {% block content %} +
    +

    Acerca de {{name}}

    +

    + Este desafío es un desafío de programación de 30 días diseñado para ayudarte a aprender el lenguaje de programación Python, resolviendo un problema de Python cada día. +

    +
    +{% endblock %} +``` + +post.html + +```html +{% extends 'layout.html' %} {% block content %} +
    +

    {{name}}

    +

    {{path}}

    +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    + +
    +
    +
    + +{% endblock %} +``` + +result.html + +```html +{% extends 'layout.html' %} {% block content %} +
    +

    Datos del formulario

    +
      +
    • Nombre: {{result_data.first_name}}
      • +
    • Apellido: {{result_data.last_name}}
      • +
    • Trabajo anterior: {{result_data.old_job}}
      • +
    • Trabajo actual: {{result_data.current_job}}
      • +
    • País: {{result_data.country}}
      • +
    +
    + +{% endblock %} +``` + +#### Servir archivos estáticos + +A continuación se muestra el archivo main.css, que colocaremos en el directorio static/css: + +```css +/* === GENERAL === */ +body { + margin: 0; + padding: 0; + font-family: "Lato", sans-serif; + background-color: #f0f8ea; +} + +.container { + max-width: 80%; + margin: auto; + padding: 30px; +} + +ul { + list-style-type: none; + padding: 0; +} + +.tech { + color: #5bbc2e; +} + +/* === HEADER === */ +header { + background-color: #5bbc2e; +} + +.menu-container { + display: flex; + justify-content: space-between; + padding: 20px 30px; +} + +.brand-name { + color: white; + font-weight: 800; + font-size: 24px; +} + +.nav-lists { + display: flex; +} + +.nav-list { + margin-right: 15px; +} + +.nav-link { + text-decoration: none; + color: white; + font-weight: 300; +} + +/* === FORM === */ + +form { + margin: 30px 0; + border: 1px solid #ddd; + padding: 30px; + border-radius: 10px; +} + +form > div { + margin-bottom: 15px; +} + +input { + width: 100%; + padding: 10px; + border: 1px solid #ddd; + border-radius: 5px; + outline: 0; + font-size: 16px; + box-sizing: border-box; + margin-top: 5px; +} + +button { + padding: 12px 24px; + border: 0; + background-color: #5bbc2e; + color: white; + border-radius: 10px; + font-size: 16px; + outline: 0; + cursor: pointer; +} + +button:hover { + background-color: #4b9c25; +} +``` + +### Despliegue + +#### Crear cuenta en Heroku + +Heroku ofrece un servicio de alojamiento gratuito. Si deseas desplegar una aplicación, debes tener una cuenta en Heroku. + +#### Iniciar sesión en Heroku + +```sh +asabeneh@Asabeneh:~/Desktop/python_for_web$ heroku login +heroku: Press any key to open up the browser to login or q to exit: +Opening browser to https://cli-auth.heroku.com/auth/cli/browser/ec0972d5-d8c6-4adf-b004-a42a22dd09a8 +Logging in... done +Logged in as asabeneh@gmail.com +asabeneh@Asabeneh:~/Desktop/python_for_web$ +``` + +#### Crear requirements y Procfile + +Antes de desplegar la aplicación, necesitamos informar a Heroku qué dependencias instalar y cómo ejecutar la aplicación. Heroku utiliza el archivo requirements.txt para obtener información sobre las dependencias de la aplicación. Usa el comando pip freeze para listar todas las dependencias y sus versiones, y escríbelas en requirements.txt. + +```sh +asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze +Click==7.0 +Flask==1.1.1 +itsdangerous==1.1.0 +Jinja2==2.10.3 +MarkupSafe==1.1.1 +Werkzeug==0.16.0 +asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze > requirements.txt +``` + +Procfile le dice a Heroku cómo ejecutar la aplicación. En este caso, usamos Gunicorn como servidor HTTP WSGI para ejecutar aplicaciones web en Python. Necesitamos agregar Gunicorn a nuestras dependencias. + +```sh +asabeneh@Asabeneh:~/Desktop/python_for_web$ pip install gunicorn +asabeneh@Asabeneh:~/Desktop/python_for_web$ pip freeze > requirements.txt +``` + +Ahora, creemos un Procfile y agreguemos el siguiente contenido: + +```sh +web: gunicorn app:app +``` + +#### Enviar el proyecto a Heroku + +```sh +asabeneh@Asabeneh:~/Desktop/python_for_web$ heroku create 30-days-of-python-app +Creating ⬢ 30-days-of-python-app... done +https://30-days-of-python-app.herokuapp.com/ | https://git.heroku.com/30-days-of-python-app.git +asabeneh@Asabeneh:~/Desktop/python_for_web$ git init +Initialized empty Git repository in /home/asabeneh/Desktop/python_for_web/.git/ +asabeneh@Asabeneh:~/Desktop/python_for_web$ heroku git:remote -a 30-days-of-python-app +set git remote heroku to https://git.heroku.com/30-days-of-python-app.git +asabeneh@Asabeneh:~/Desktop/python_for_web$ echo -e "venv\n.vscode" > .gitignore +asabeneh@Asabeneh:~/Desktop/python_for_web$ git add . +asabeneh@Asabeneh:~/Desktop/python_for_web$ git commit -m "primer aplicación web en python" +[master (root-commit) 9dfcc6a] primer aplicación web en python + 9 files changed, 403 insertions(+) + create mode 100644 .gitignore + create mode 100644 Procfile + create mode 100644 app.py + create mode 100644 requirements.txt + create mode 100644 static/css/main.css + create mode 100644 templates/about.html + create mode 100644 templates/home.html + create mode 100644 templates/layout.html + create mode 100644 templates/post.html + create mode 100644 templates/result.html +asabeneh@Asabeneh:~/Desktop/python_for_web$ git push heroku master +Enumerating objects: 14, done. +Counting objects: 100% (14/14), done. +Delta compression using up to 2 threads +Compressing objects: 100% (12/12), done. +Writing objects: 100% (14/14), 6.08 KiB | 1.52 MiB/s, done. +Total 14 (delta 2), reused 0 (delta 0) +remote: Compressing source files... done. +remote: Building source: +remote: +remote: -----> Python app detected +remote: -----> Installing python-3.6.10 +remote: -----> Installing pip +remote: -----> Installing dependencies with Pipenv 2018.5.18… +remote: Installing dependencies from Pipfile.lock (872ae5)… +remote: -----> Installing SQLite3 +remote: -----> $ python manage.py collectstatic --noinput +remote: Traceback (most recent call last): +remote: File "manage.py", line 10, in +remote: from app import app +remote: ModuleNotFoundError: No module named 'app' +remote: +remote: ! Error while running '$ python manage.py collectstatic --noinput'. +remote: See traceback above for details. +remote: +remote: You may need to update application code to resolve this error. +remote: Or, you can disable collectstatic for this application: +remote: +remote: $ heroku config:set DISABLE_COLLECTSTATIC=1 +remote: +remote: https://devcenter.heroku.com/articles/django-assets +remote: -----> Discovering process types +remote: Procfile declares types -> web +remote: +remote: -----> Compressing... +remote: Done: 55.7M +remote: -----> Launching... +remote: Released v3 +remote: https://30-days-of-python-app.herokuapp.com/ deployed to Heroku +remote: +remote: Verifying deploy... done. +To https://git.heroku.com/30-days-of-python-app.git + * [new branch] master -> master +asabeneh@Asabeneh:~/Desktop/python_for_web$ +``` + +Como puedes ver, hemos creado con éxito nuestra primera aplicación web, la hemos desplegado y la hemos alojado en Heroku. Puedes probar esta aplicación usando este [enlace](https://30-days-of-python-app.herokuapp.com/). + +Sin más preámbulos, realicemos algunos ejercicios para reforzar lo aprendido. + +## Ejercicios: Día 26 + +1. Crea una aplicación Flask llamada "Calculadora de calificaciones". El usuario ingresa la nota y el nombre de la asignatura, y la aplicación debe mostrar un mensaje según la nota: + - Si nota ≥ 90: "¡Excelente! Tu calificación en [Asignatura] es [Nota]". + - Si 80 ≤ nota < 90: "¡Muy bien! Tu calificación en [Asignatura] es [Nota]". + - Si 70 ≤ nota < 80: "Regular. Tu calificación en [Asignatura] es [Nota]". + - Si 60 ≤ nota < 70: "Aprobaste. Tu calificación en [Asignatura] es [Nota]". + - Si nota < 60: "¡Necesitas esforzarte más! Tu calificación en [Asignatura] es [Nota]". + +2. Crea una aplicación "Calculadora de IMC" que calcule el índice de masa corporal (IMC = peso(kg) / altura(m)²) y muestre el estado según el IMC: + - IMC < 18.5: "Bajo peso" + - 18.5 ≤ IMC < 24.9: "Peso saludable" + - 25 ≤ IMC < 29.9: "Sobrepeso" + - IMC ≥ 30: "Obesidad" + +3. Crea una aplicación de blog donde los usuarios puedan añadir, editar y eliminar publicaciones. + +4. Crea una aplicación "Gestor de tareas" donde los usuarios puedan añadir, ver y eliminar tareas. + +🎉 ¡Felicidades! 🎉 + +[<< Día 25](./25_pandas_sp.md) | [>> Día 27](./27_python_with_mongodb_sp.md) \ No newline at end of file diff --git a/Spanish/27_python_with_mongodb_sp.md b/Spanish/27_python_with_mongodb_sp.md new file mode 100644 index 000000000..8bcd854c3 --- /dev/null +++ b/Spanish/27_python_with_mongodb_sp.md @@ -0,0 +1,630 @@ +# Reto de 30 días de Python: Día 27 - Python y MongoDB + +- [Día 27](#-día-27) +- [Python y MongoDB](#python-y-mongodb) + - [MongoDB](#mongodb) + - [Comparación entre SQL y NoSQL](#comparación-entre-sql-y-nosql) + - [Obtener la cadena de conexión (URI de MongoDB)](#obtener-la-cadena-de-conexión-uri-de-mongodb) + - [Conectar una aplicación Flask a un clúster de MongoDB](#conectar-una-aplicación-flask-a-un-clúster-de-mongodb) + - [Crear base de datos y colecciones](#crear-base-de-datos-y-colecciones) + - [Insertar múltiples documentos en una colección](#insertar-múltiples-documentos-en-una-colección) + - [Consultas en MongoDB](#consultas-en-mongodb) + - [Buscar usando una consulta](#buscar-usando-una-consulta) + - [Buscar con modificadores](#buscar-con-modificadores) + - [Limitar la cantidad de documentos](#limitar-la-cantidad-de-documentos) + - [Buscar con ordenamiento](#buscar-con-ordenamiento) + - [Actualizar usando una consulta](#actualizar-usando-una-consulta) + - [Eliminar documentos](#eliminar-documentos) + - [Eliminar una colección](#eliminar-una-colección) + - [💻 Ejercicio: Día 27](#-ejercicio-día-27) + +# 📘 Día 27 + +# Python y MongoDB + +Python es una tecnología backend que puede conectarse a distintas bases de datos. Puede conectarse a bases de datos SQL y NoSQL. En esta sección conectaremos Python con la base de datos MongoDB, que es una base de datos NoSQL. + +## MongoDB + +MongoDB es una base de datos NoSQL. MongoDB almacena datos en documentos tipo JSON, lo que hace a MongoDB muy flexible y escalable. Veamos la terminología que difiere entre bases de datos SQL y NoSQL. La siguiente tabla mostrará la diferencia entre SQL y NoSQL. + +### Comparación entre SQL y NoSQL + +![SQL vs NoSQL](../images/mongoDB/sql-vs-nosql.png) + +En esta sección nos centraremos en la base de datos NoSQL MongoDB. Regístrate en [MongoDB](https://www.mongodb.com/) haciendo clic en registrarse y luego en la página siguiente confirma el registro. + +![Página de registro de MongoDB](../images/mongoDB/mongodb-signup-page.png) + +Rellena el formulario y haz clic en continuar.. + +![Registro MongoDB](../images/mongoDB/mongodb-register.png) + +Elige el plan gratuito + +![Plan gratuito de MongoDB](../images/mongoDB/mongodb-free.png) + +Elige la región gratuita más cercana y ponle un nombre a tu clúster. + +![Nombre del clúster de MongoDB](../images/mongoDB/mongodb-cluster-name.png) + +Ahora se ha creado un sandbox gratuito + +![Sandbox de MongoDB](../images/mongoDB/mongodb-sandbox.png) + +Permitir el acceso desde todos los hosts locales + +![Permitir acceso IP en MongoDB](../images/mongoDB/mongodb-allow-ip-access.png) + +Agregar usuario y contraseña + +![Agregar usuario en MongoDB](../images/mongoDB/mongodb-add-user.png) + +Crear enlace URI de MongoDB + +![Crear URI de MongoDB](../images/mongoDB/mongodb-create-uri.png) + +Selecciona el driver para Python 3.6 o superior + +![Driver Python para MongoDB](../images/mongoDB/mongodb-python-driver.png) + +### Obtener la cadena de conexión (URI de MongoDB) + +Copia la cadena de conexión; obtendrás algo similar a esto: + +```sh +mongodb+srv://asabeneh:@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority +``` + +No te preocupes por esta URL; es la forma de conectar tu aplicación con MongoDB. +Reemplaza el marcador de contraseña con la contraseña que creaste al añadir el usuario. + +Ejemplo: + +```sh +mongodb+srv://asabeneh:123123123@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority +``` + +En este ejemplo reemplacé todo y la contraseña es 123123123; el nombre de la base de datos es *thirty_days_python*. Esto solo es un ejemplo; tu contraseña debe ser más segura. + +Python necesita drivers para acceder a MongoDB. Usaremos _pymongo_ y _dnspython_ para conectar nuestra aplicación con la base de MongoDB. Instala pymongo y dnspython en tu directorio de proyecto: + +```sh +pip install pymongo dnspython +``` + +Para usar el URI mongodb+srv:// debes instalar el módulo "dnspython". dnspython es un paquete de utilidades DNS para Python que soporta prácticamente todos los tipos de registros. + +### Conectar una aplicación Flask a un clúster de MongoDB + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +print(client.list_database_names()) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Al ejecutar el código anterior obtendremos las bases de datos por defecto de MongoDB. + +```sh +['admin', 'local'] +``` + +### Crear base de datos y colecciones + +Creemos una base de datos; si la base de datos y la colección no existen en MongoDB, se crearán. Crearemos una base de datos llamada *thirty_days_of_python* y una colección *students*. + +Formas de crear la base de datos: + +```sh +db = client.name_of_database # podemos crear la base de datos así, o usar la segunda forma +db = client['name_of_database'] +``` + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +# crear la base de datos +db = client.thirty_days_of_python +# crear la colección students e insertar un documento +db.students.insert_one({'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250}) +print(client.list_database_names()) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Después de crear la base de datos, también creamos la colección students y usamos *insert_one()* para insertar un documento. +Ahora la base de datos *thirty_days_of_python* y la colección *students* han sido creadas y el documento insertado. +Revisa tu clúster MongoDB y verás la base de datos y la colección, con un documento dentro. + +```sh +['thirty_days_of_python', 'admin', 'local'] +``` + +Si ves lo anterior en tu clúster, significa que has creado con éxito una base de datos y una colección. + +![Crear base de datos y colección](../images/mongoDB/mongodb-creating_database.png) + +Si ves la imagen anterior, el documento fue creado con un ID largo como clave primaria. Cada vez que incrustamos un documento, MongoDB le asigna un ID único. + +### Insertar múltiples documentos en una colección + +*insert_one()* inserta un elemento a la vez; si queremos insertar múltiples documentos de una vez podemos usar *insert_many()* o un bucle for. +Podemos usar un bucle for para insertar varios documentos a la vez. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) + +students = [ + {'name':'David','country':'UK','city':'London','age':34}, + {'name':'John','country':'Sweden','city':'Stockholm','age':28}, + {'name':'Sami','country':'Finland','city':'Helsinki','age':25}, + ] +for student in students: + db.students.insert_one(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +### Consultas en MongoDB + +Los métodos *find()* y *findOne()* son formas comunes de buscar datos en una colección MongoDB. Son similares al SELECT en MySQL. +Usemos _find_one()_ para obtener un documento de la colección. + +- *find_one({"_id": ObjectId("id")}): si no se proporciona id, devuelve la primera aparición. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +student = db.students.find_one() +print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +``` + +La consulta anterior devuelve la primera entrada, pero podemos usar un _id_ específico para ubicar un documento concreto. Por ejemplo, usemos el id de David para obtener el objeto David. +'_id':ObjectId('5df68a23f106fe2d315bbc8c') + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +from bson.objectid import ObjectId # objeto id +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +student = db.students.find_one({'_id':ObjectId('5df68a23f106fe2d315bbc8c')}) +print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +``` + +Hemos visto cómo usar _find_one()_. Veamos ahora _find()_. + +- _find()_: si no pasamos un objeto consulta devuelve todas las apariciones en la colección. El resultado es un objeto pymongo.cursor. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +students = db.students.find() +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +Podemos especificar los campos a devolver pasando un segundo objeto a _find({}, {})_. 0 significa excluir, 1 incluir; no se puede mezclar 0 y 1 excepto para _id. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +students = db.students.find({}, {"_id":0, "name": 1, "country":1}) # 0 excluir, 1 incluir +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'name': 'Asabeneh', 'country': 'Finland'} +{'name': 'David', 'country': 'UK'} +{'name': 'John', 'country': 'Sweden'} +{'name': 'Sami', 'country': 'Finland'} +``` + +### Buscar usando una consulta + +En MongoDB, find acepta un objeto de consulta. Podemos pasar ese objeto para filtrar los documentos que queremos. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +query = { + "country":"Finland" +} +students = db.students.find(query) + +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +### Buscar con modificadores + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +query = { + "city":"Helsinki" +} +students = db.students.find(query) +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +### Buscar con modificadores (combinados) + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +query = { + "country":"Finland", + "city":"Helsinki" +} +students = db.students.find(query) +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +Ejemplos con operadores: + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +query = {"age":{"$gt":30}} +students = db.students.find(query) +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +``` + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +query = {"age":{"$lt":30}} +students = db.students.find(query) +for student in students: + print(student) +``` + +```sh +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +### Limitar la cantidad de documentos + +Podemos usar el método _limit()_ para restringir el número de documentos devueltos. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +db.students.find().limit(3) +``` + +### Buscar con ordenamiento + +Por defecto el orden es ascendente. Podemos cambiar a descendente pasando -1. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +students = db.students.find().sort('name') +for student in students: + print(student) + +students = db.students.find().sort('name',-1) +for student in students: + print(student) + +students = db.students.find().sort('age') +for student in students: + print(student) + +students = db.students.find().sort('age',-1) +for student in students: + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Ascendente + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +Descendente + +```sh +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 250} +``` + +### Actualizar usando una consulta + +Usaremos *update_one()* para actualizar un documento. Acepta dos objetos: la consulta y el nuevo valor. +La primera persona, Asabeneh, tenía una edad poco razonable. Actualicemos la edad de Asabeneh. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +query = {'age':250} +new_value = {'$set':{'age':38}} + +db.students.update_one(query, new_value) +# verifiquemos el resultado para ver si la edad fue modificada +for student in db.students.find(): + print(student) + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 38} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a23f106fe2d315bbc8d'), 'name': 'John', 'country': 'Sweden', 'city': 'Stockholm', 'age': 28} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +Si queremos actualizar varios documentos a la vez usamos *update_many()*. + +### Eliminar documentos + +El método *delete_one()* elimina un documento. Acepta un objeto consulta y elimina la primera aparición. +Eliminemos a John de la colección. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +query = {'name':'John'} +db.students.delete_one(query) + +for student in db.students.find(): + print(student) +# verifiquemos el resultado + +app = Flask(__name__) +if __name__ == '__main__': + # en despliegue usamos variables de entorno + # para que funcione tanto en producción como en desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +```sh +{'_id': ObjectId('5df68a21f106fe2d315bbc8b'), 'name': 'Asabeneh', 'country': 'Finland', 'city': 'Helsinki', 'age': 38} +{'_id': ObjectId('5df68a23f106fe2d315bbc8c'), 'name': 'David', 'country': 'UK', 'city': 'London', 'age': 34} +{'_id': ObjectId('5df68a23f106fe2d315bbc8e'), 'name': 'Sami', 'country': 'Finland', 'city': 'Helsinki', 'age': 25} +``` + +Como puedes ver, John ha sido eliminado de la colección. + +Si queremos eliminar varios documentos usamos *delete_many()* con un objeto consulta. Si pasamos un objeto vacío *delete_many({})* eliminará todos los documentos en la colección. + +### Eliminar una colección + +Usando el método _drop()_ podemos eliminar una colección de la base de datos. + +```py +# importar flask +from flask import Flask, render_template +import os # importar el módulo os +import pymongo + +MONGODB_URI = 'mongodb+srv://asabeneh:your_password_goes_here@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos +db.students.drop() +``` + +Ahora hemos eliminado la colección students de la base de datos. + +## 💻 Ejercicio: Día 27 + +🎉 ¡Felicidades! 🎉 + +[<< Día 26](./26_python_web_sp.md) | [Día 28 >>](./28_API_sp.md) \ No newline at end of file diff --git a/Spanish/28_API_sp.md b/Spanish/28_API_sp.md new file mode 100644 index 000000000..d3466971b --- /dev/null +++ b/Spanish/28_API_sp.md @@ -0,0 +1,140 @@ +# Reto de 30 días de Python: Día 28 - API + +- [Día 28](#-día-28) +- [Interfaz de Programación de Aplicaciones (API)](#interfaz-de-programación-de-aplicaciones-api) + - [API](#api) + - [Construir una API](#construir-una-api) + - [HTTP (Protocolo de transferencia de hipertexto)](#http-protocolo-de-transferencia-de-hipertexto) + - [Estructura de HTTP](#estructura-de-http) + - [Línea inicial de solicitud (línea de estado)](#línea-inicial-de-solicitud-línea-de-estado) + - [Línea inicial de respuesta (línea de estado)](#línea-inicial-de-respuesta-línea-de-estado) + - [Campos de cabecera](#campos-de-cabecera) + - [Cuerpo del mensaje](#cuerpo-del-mensaje) + - [Métodos de solicitud](#métodos-de-solicitud) + - [💻 Ejercicio: Día 28](#-ejercicio-día-28) + +# 📘 Día 28 + +# Interfaz de Programación de Aplicaciones (API) + +## API + +API son las siglas de Application Programming Interface (Interfaz de Programación de Aplicaciones). El tipo de API que veremos en esta sección es la Web API. +Una Web API es una interfaz definida que permite la interacción entre organizaciones y las aplicaciones que consumen sus recursos; también actúa como un contrato de nivel de servicio (SLA) que especifica al proveedor de la funcionalidad y expone rutas o URLs de servicio a los usuarios de la API. + +En el contexto del desarrollo web, una API se define como un conjunto de especificaciones, por ejemplo mensajes de solicitud HTTP y la estructura de los mensajes de respuesta, normalmente en formato XML o JSON (JavaScript Object Notation). + +Las Web APIs han evolucionado de servicios web basados en SOAP y arquitecturas orientadas a servicios (SOA) hacia recursos web más directos en estilo REST. + +Los servicios de redes sociales y las Web APIs han permitido a la comunidad web compartir contenido y datos entre comunidades y plataformas. + +Con las APIs, el contenido creado en un lugar puede publicarse y actualizarse dinámicamente en múltiples lugares de la web. + +Por ejemplo, la REST API de Twitter permite a los desarrolladores acceder a los datos principales de Twitter, mientras que la Search API ofrece formas de interactuar con los datos de búsqueda y tendencias de Twitter. + +Muchas aplicaciones exponen endpoints de API. Algunos ejemplos de APIs son la [API de países](https://restcountries.eu/rest/v2/all) y la [API de razas de gatos](https://api.thecatapi.com/v1/breeds). + +En esta sección presentaremos una API RESTful que utiliza métodos de solicitud HTTP como GET, PUT, POST y DELETE para manejar datos. + +## Construir una API + +Una API RESTful es una interfaz que usa solicitudes HTTP para GET, PUT, POST y DELETE datos. En secciones anteriores aprendimos Python, Flask y MongoDB. Aprovecharemos ese conocimiento para desarrollar una API RESTful usando Python, Flask y la base de datos MongoDB. Toda aplicación con operaciones CRUD (Crear, Leer, Actualizar, Eliminar) suele exponer una API para crear datos en la base, obtener datos, actualizarlos o borrarlos. + +Para construir una API es útil entender el protocolo HTTP y el ciclo de solicitud-respuesta HTTP. + +## HTTP (Protocolo de transferencia de hipertexto) + +HTTP es el protocolo de comunicación establecido entre cliente y servidor. En este caso, el cliente es el navegador y el servidor es el lugar desde donde obtienes los datos. HTTP es un protocolo de red utilizado para transferir recursos en la web, como archivos HTML, imágenes, resultados de consultas, scripts u otros tipos de archivos. + +El navegador actúa como cliente HTTP porque envía solicitudes al servidor HTTP (servidor web), y el servidor responde al cliente. + +## Estructura de HTTP + +HTTP utiliza un modelo cliente-servidor. El cliente HTTP abre una conexión y envía un mensaje de solicitud al servidor HTTP; el servidor HTTP devuelve un mensaje de respuesta, es decir, el recurso solicitado. Cuando el ciclo solicitud-respuesta termina, el servidor cierra la conexión. + +![Ciclo de solicitud-respuesta HTTP](../images/http_request_response_cycle.png) + +Los formatos de los mensajes de solicitud y respuesta son similares. Ambos mensajes contienen: + +- Una línea inicial +- Cero o más líneas de cabecera +- Una línea en blanco (es decir, un CRLF por separado) +- Un cuerpo de mensaje opcional (por ejemplo, un archivo, datos de formulario o la salida de una consulta) + +Navega por este sitio para ver un ejemplo de mensaje de solicitud y respuesta: https://thirtydaysofpython-v1-final.herokuapp.com/. Este sitio está desplegado en un dyno gratuito de Heroku y puede no estar disponible en algunos meses debido al alto tráfico. Apoyar este proyecto ayuda a mantener el servidor activo. + +![Cabeceras de solicitud y respuesta](../images/request_response_header.png) + +## Línea inicial de solicitud (línea de estado) + +La línea inicial de la solicitud difiere de la de la respuesta. +La línea de solicitud tiene tres partes separadas por espacios: + +- El nombre del método (GET, POST, HEAD) +- La ruta del recurso solicitado +- La versión HTTP utilizada. Por ejemplo: GET / HTTP/1.1 + +GET es el método HTTP más común, usado para obtener o leer recursos, mientras que POST es un método común para crear recursos. + +### Línea inicial de respuesta (línea de estado) + +La línea inicial de la respuesta, llamada línea de estado, también tiene tres partes separadas por espacios: + +- La versión HTTP +- El código de estado de la respuesta, que indica el resultado de la solicitud, junto con una razón que describe dicho código. Ejemplos de líneas de estado: + HTTP/1.0 200 OK + o + HTTP/1.0 404 Not Found + **Nota:** + +Los códigos de estado más comunes son: +200 OK: la solicitud fue exitosa y el recurso generado (por ejemplo un archivo o la salida de un script) se devuelve en el cuerpo del mensaje. +500 Error del servidor +La lista completa de códigos de estado HTTP puede encontrarse [aquí](https://httpstatuses.com/). También puedes verla [aquí](https://httpstatusdogs.com/). + +### Campos de cabecera + +Como se observa en la captura anterior, las líneas de cabecera proporcionan información sobre la solicitud o la respuesta, o sobre el objeto enviado en el cuerpo del mensaje. + +```sh +GET / HTTP/1.1 +Host: thirtydaysofpython-v1-final.herokuapp.com +Connection: keep-alive +Pragma: no-cache +Cache-Control: no-cache +Upgrade-Insecure-Requests: 1 +User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.79 Safari/537.36 +Sec-Fetch-User: ?1 +Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9 +Sec-Fetch-Site: same-origin +Sec-Fetch-Mode: navigate +Referer: https://thirtydaysofpython-v1-final.herokuapp.com/post +Accept-Encoding: gzip, deflate, br +Accept-Language: en-GB,en;q=0.9,fi-FI;q=0.8,fi;q=0.7,en-CA;q=0.6,en-US;q=0.5,fr;q=0.4 +``` + +### Cuerpo del mensaje + +Un mensaje HTTP puede llevar un cuerpo después de las cabeceras. En una respuesta, este es el lugar donde el recurso solicitado se devuelve al cliente (el uso más común del cuerpo). Si hay un error, puede contener texto explicativo. En una solicitud, es el lugar donde se envían los datos introducidos por el usuario o los archivos subidos al servidor. + +Si un mensaje HTTP contiene un cuerpo, normalmente hay cabeceras que describen ese cuerpo, en particular: + +Content-Type: indica el tipo MIME de los datos en el cuerpo (text/html, application/json, text/plain, text/css, image/gif). +Content-Length: indica el número de bytes en el cuerpo del mensaje. + +### Métodos de solicitud + +GET, POST, PUT y DELETE son los métodos HTTP que usaremos para implementar la API y las operaciones CRUD. + +1. GET: el método GET se usa para recuperar y obtener información desde el servidor dado un URI. Las solicitudes GET deben únicamente recuperar datos y no producir otros efectos. +2. POST: las solicitudes POST se usan para crear datos y enviar datos al servidor, por ejemplo al crear una nueva entrada con un formulario HTML o subir archivos. +3. PUT: reemplaza la representación actual completa del recurso objetivo con la carga enviada; lo usamos para modificar o actualizar datos. +4. DELETE: elimina datos. + +## 💻 Ejercicio: Día 28 + +1. Lee recursos sobre APIs y HTTP + +🎉 ¡Felicidades! 🎉 + +[<< Día 27](./27_python_with_mongodb_sp.md) | [Día 29 >>](./29_building_API_sp.md) diff --git a/Spanish/29_building_API_sp.md b/Spanish/29_building_API_sp.md new file mode 100644 index 000000000..b5fd3df9c --- /dev/null +++ b/Spanish/29_building_API_sp.md @@ -0,0 +1,468 @@ +# Reto de 30 días de Python: Día 29 - Construyendo una API + +- [Día 29](#día-29) +- [Construyendo una API](#construyendo-una-api) + - [Estructura de la API](#estructura-de-la-api) + - [Obtener datos con GET](#obtener-datos-con-get) + - [Obtener un documento por ID](#obtener-un-documento-por-id) + - [Crear datos con POST](#crear-datos-con-post) + - [Actualizar con PUT](#actualizar-con-put) + - [Eliminar documentos con DELETE](#eliminar-documentos-con-delete) +- [💻 Ejercicio: Día 29](#-ejercicio-día-29) + +## Día 29 + +## Construyendo una API + +En esta sección presentaremos una API RESTful que utiliza métodos HTTP como GET, PUT, POST y DELETE para manejar datos. + +Una API RESTful es una interfaz de programación de aplicaciones (API) que usa solicitudes HTTP para GET, PUT, POST y DELETE datos. En secciones anteriores aprendimos Python, Flask y MongoDB. Aprovecharemos ese conocimiento para desarrollar una API RESTful usando Python, Flask y MongoDB. Toda aplicación con operaciones CRUD (Crear, Leer, Actualizar, Eliminar) suele exponer una API para crear datos en la base, obtener datos, actualizarlos o borrarlos. + +Los navegadores solo manejan solicitudes GET. Por eso necesitamos una herramienta que nos permita manejar todos los métodos (GET, POST, PUT, DELETE). + +Ejemplos de APIs: + +- API de países: https://restcountries.eu/rest/v2/all +- API de razas de gatos: https://api.thecatapi.com/v1/breeds + +[Postman](https://www.getpostman.com/) es una herramienta muy popular en el desarrollo de APIs. Si quieres seguir esta sección, descarga [Postman](https://www.getpostman.com/). Una alternativa a Postman es [Insomnia](https://insomnia.rest/download). + +![Postman](../images/postman.png) + +### Estructura de la API + +Un endpoint de API es una URL que ayuda a recuperar, crear, actualizar o eliminar un recurso. La estructura suele ser: +Ejemplo de endpoint: +https://api.twitter.com/1.1/lists/members.json +Este endpoint devuelve los miembros de una lista específica. Las listas privadas muestran miembros solo si el usuario autenticado posee la lista. +El nombre de la empresa va seguido de la versión y del propósito de la API. +Métodos: +Métodos HTTP: método y URL + +La API usa los siguientes métodos HTTP para operar sobre objetos: + +```sh +GET para recuperar objetos +POST para crear objetos y operaciones relacionadas +PUT para actualizar objetos +DELETE para eliminar objetos +``` + +Construiremos una API para recopilar información sobre estudiantes de 30DaysOfPython. Recogemos nombre, país, ciudad, año de nacimiento, habilidades y biografía. + +Para implementar esta API utilizaremos: + +- Postman +- Python +- Flask +- MongoDB + +### Obtener datos con GET + +En este paso usaremos datos ficticios y los devolveremos como JSON. Para retornarlos como JSON usaremos el módulo json y Response. + +```py +# importar flask + +from flask import Flask, Response +import json + +app = Flask(__name__) + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + student_list = [ + { + 'name':'Asabeneh', + 'country':'Finland', + 'city':'Helsinki', + 'skills':['HTML', 'CSS','JavaScript','Python'] + }, + { + 'name':'David', + 'country':'UK', + 'city':'London', + 'skills':['Python','MongoDB'] + }, + { + 'name':'John', + 'country':'Sweden', + 'city':'Stockholm', + 'skills':['Java','C#'] + } + ] + return Response(json.dumps(student_list), mimetype='application/json') + + +if __name__ == '__main__': + # usado en despliegue + # para que funcione en producción y desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Si solicitas http://localhost:5000/api/v1.0/students en el navegador obtendrás: + +![GET en navegador](../images/get_on_browser.png) + +Si solicitas la misma URL en Postman obtendrás: + +![GET en Postman](../images/get_on_postman.png) + +En lugar de datos ficticios, conectaremos la aplicación Flask a MongoDB y obtendremos datos desde la base. + +```py +# importar flask + +from flask import Flask, Response +import json +import pymongo + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +#Nota: nunca incluyas credenciales reales en el código. +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') + + +if __name__ == '__main__': + # usado en despliegue + # para que funcione en producción y desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Al conectar Flask con MongoDB podemos obtener la colección students de la base thirty_days_of_python: + +```sh +[ + { + "_id": { + "$oid": "5df68a21f106fe2d315bbc8b" + }, + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "age": 38 + }, + { + "_id": { + "$oid": "5df68a23f106fe2d315bbc8c" + }, + "name": "David", + "country": "UK", + "city": "London", + "age": 34 + }, + { + "_id": { + "$oid": "5df68a23f106fe2d315bbc8e" + }, + "name": "Sami", + "country": "Finland", + "city": "Helsinki", + "age": 25 + } +] +``` + +### Obtener un documento por ID + +Podemos acceder a un documento individual por su ID. Por ejemplo, accedamos a Asabeneh: +http://localhost:5000/api/v1.0/students/5df68a21f106fe2d315bbc8b + +```py +# importar flask + +from flask import Flask, Response +import json +from bson.objectid import ObjectId +import json +from bson.json_util import dumps +import pymongo + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +#Nota: nunca incluyas credenciales reales en el código. +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students/', methods = ['GET']) +def single_student (id): + student = db.students.find({'_id':ObjectId(id)}) + return Response(dumps(student), mimetype='application/json') + +if __name__ == '__main__': + # usado en despliegue + # para que funcione en producción y desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +Respuesta de ejemplo: + +```sh +[ + { + "_id": { + "$oid": "5df68a21f106fe2d315bbc8b" + }, + "name": "Asabeneh", + "country": "Finland", + "city": "Helsinki", + "age": 38 + } +] +``` + +### Crear datos con POST + +Usamos el método POST para crear datos. + +```py +# importar flask + +from flask import Flask, Response, Request +import json +from bson.objectid import ObjectId +import json +from bson.json_util import dumps +import pymongo +from datetime import datetime + + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +#Nota: nunca incluyas credenciales reales en el código. +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students/', methods = ['GET']) +def single_student (id): + student = db.students.find({'_id':ObjectId(id)}) + return Response(dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students', methods = ['POST']) +def create_student (): + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.insert_one(student) + return ; +def update_student (id): +if __name__ == '__main__': + # usado en despliegue + # para que funcione en producción y desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +### Actualizar con PUT + +```py +# importar flask + +from flask import Flask, Response +import json +from bson.objectid import ObjectId +import json +from bson.json_util import dumps +import pymongo +from datetime import datetime + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +#Nota: nunca incluyas credenciales reales en el código. +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students/', methods = ['GET']) +def single_student (id): + student = db.students.find({'_id':ObjectId(id)}) + return Response(dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students', methods = ['POST']) +def create_student (): + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.insert_one(student) + return +@app.route('/api/v1.0/students/', methods = ['PUT']) # este decorador crea la ruta para actualizar +def update_student (id): + query = {"_id":ObjectId(id)} + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.update_one(query, {"$set": student}) + # return Response(dumps({"result":"a new student has been created"}), mimetype='application/json') + return +def update_student (id): +if __name__ == '__main__': + # usado en despliegue + # para que funcione en producción y desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +### Eliminar documentos con DELETE + +```py +# importar flask + +from flask import Flask, Response +import json +from bson.objectid import ObjectId +import json +from bson.json_util import dumps +import pymongo +from datetime import datetime + + +app = Flask(__name__) + +# +MONGODB_URI='mongodb+srv://asabeneh:your_password@30daysofpython-twxkr.mongodb.net/test?retryWrites=true&w=majority' +#Nota: nunca incluyas credenciales reales en el código. +client = pymongo.MongoClient(MONGODB_URI) +db = client['thirty_days_of_python'] # acceder a la base de datos + +@app.route('/api/v1.0/students', methods = ['GET']) +def students (): + + return Response(json.dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students/', methods = ['GET']) +def single_student (id): + student = db.students.find({'_id':ObjectId(id)}) + return Response(dumps(student), mimetype='application/json') +@app.route('/api/v1.0/students', methods = ['POST']) +def create_student (): + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.insert_one(student) + return +@app.route('/api/v1.0/students/', methods = ['PUT']) # este decorador crea la ruta para actualizar +def update_student (id): + query = {"_id":ObjectId(id)} + name = request.form['name'] + country = request.form['country'] + city = request.form['city'] + skills = request.form['skills'].split(', ') + bio = request.form['bio'] + birthyear = request.form['birthyear'] + created_at = datetime.now() + student = { + 'name': name, + 'country': country, + 'city': city, + 'birthyear': birthyear, + 'skills': skills, + 'bio': bio, + 'created_at': created_at + + } + db.students.update_one(query, {"$set": student}) + # return Response(dumps({"result":"a new student has been created"}), mimetype='application/json') + return ; +@app.route('/api/v1.0/students/', methods = ['DELETE']) +def delete_student (id): + db.students.delete_one({"_id":ObjectId(id)}) + return +if __name__ == '__main__': + # usado en despliegue + # para que funcione en producción y desarrollo + port = int(os.environ.get("PORT", 5000)) + app.run(debug=True, host='0.0.0.0', port=port) +``` + +## 💻 Ejercicio: Día 29 + +1. Implementa los ejemplos anteriores y desarrolla [esta API](https://thirtydayofpython-api.herokuapp.com/) + +🎉 ¡Felicidades! 🎉 + +[<< Día 28](./28_API_sp.md) | [Día 30 >>](./30_conclusions_sp.md) \ No newline at end of file diff --git a/Spanish/30_conclusions_sp.md b/Spanish/30_conclusions_sp.md new file mode 100644 index 000000000..67bedf52a --- /dev/null +++ b/Spanish/30_conclusions_sp.md @@ -0,0 +1,22 @@ +# Reto de 30 días de Python: Día 30 - Conclusiones + +- [Día 30](#día-30) + - [Resumen](#resumen) + - [Testimonios](#testimonios) + +# Día 30 + +## Resumen + +Al preparar este material aprendí mucho y ustedes me motivaron a hacer más. Felicidades por llegar hasta aquí. Si has completado todos los ejercicios y proyectos, ahora tienes la capacidad de avanzar en análisis de datos, ciencia de datos, aprendizaje automático o desarrollo web. [Apoya al autor para más material educativo](https://www.paypal.com/paypalme/asabeneh). + +## Testimonios + +Ahora es el momento de compartir tus pensamientos sobre el autor y el reto de 30 días de Python. Puedes dejar tu testimonio en este [enlace](https://www.asabeneh.com/testimonials). + +Enviar comentarios/retroalimentación: +http://thirtydayofpython-api.herokuapp.com/feedback + +🎉 ¡Felicidades! 🎉 + +[<< Día 29](./29_building_API_sp.md) \ No newline at end of file diff --git a/Spanish/README_sp.md b/Spanish/README_sp.md new file mode 100644 index 000000000..510461b08 --- /dev/null +++ b/Spanish/README_sp.md @@ -0,0 +1,454 @@ +# 🐍 30 Días de Python + +| # Día | Tema | +| ------ | :--------------------------------------------------------------------------------------: | +| 01 | [Introducción](./readme_sp.md) | +| 02 | [Variables y funciones integradas](./02_variables_builtin_functions_sp.md) | +| 03 | [Operadores](./03_operators_sp.md) | +| 04 | [Cadenas](./04_strings_sp.md) | +| 05 | [Listas](./05_lists_sp.md) | +| 06 | [Tuplas](./06_tuples_sp.md) | +| 07 | [Conjuntos](./07_sets_sp.md) | +| 08 | [Diccionarios](./08_dictionaries_sp.md) | +| 09 | [Condicionales](./09_conditionals_sp.md) | +| 10 | [Bucles](./10_loops_sp.md) | +| 11 | [Funciones](./11_functions_sp.md) | +| 12 | [Módulos](./12_modules_sp.md) | +| 13 | [Comprensión de listas](./13_list_comprehension_sp.md) | +| 14 | [Funciones de orden superior](./14_higher_order_functions_sp.md) | +| 15 | [Errores de tipo](./15_python_type_errors_sp.md) | +| 16 | [Fechas y horas en Python](./16_python_datetime_sp.md) | +| 17 | [Manejo de excepciones](./17_exception_handling_sp.md) | +| 18 | [Expresiones regulares](./18_regular_expressions_sp.md) | +| 19 | [Manejo de archivos](./19_file_handling_sp.md) | +| 20 | [Gestor de paquetes](./20_python_package_manager_sp.md) | +| 21 | [Clases y objetos](./21_classes_and_objects_sp.md) | +| 22 | [Web scraping](./22_web_scraping_sp.md) | +| 23 | [Entornos virtuales](./23_virtual_environment_sp.md) | +| 24 | [Estadística](./24_statistics_sp.md) | +| 25 | [Pandas](./25_pandas_sp.md) | +| 26 | [Python en la web](./26_python_web_sp.md) | +| 27 | [Python y MongoDB](./27_python_with_mongodb_sp.md) | +| 28 | [API](./28_API_sp.md) | +| 29 | [Construir API](./29_building_API_sp.md) | +| 30 | [Conclusiones](./30_conclusions_sp.md) | + +🧡🧡🧡 Feliz codificación 🧡🧡🧡 + +
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    30 Días de Python: Día 1 - Introducción

    + + + + + Twitter Follow + + +Autor: +Asabeneh Yetayeh
    + Segunda edición: julio de 2021 +     + +
    + +[Ir al Día 2 >>](./02_variables_builtin_functions_sp.md) + +![30DaysOfPython](.././images/30DaysOfPython_banner3@2x.png) + +- [🐍 30 Días de Python](#-30-días-de-python) +- [📘 Día 1](#-día-1) + - [¡Bienvenido!](#¡bienvenido!) + - [Introducción](#introducción) + - [¿Por qué elegir Python?](#¿por-qué-elegir-python?) + - [Configuración del entorno](#configuración-del-entorno) + - [Instalar Python](#instalar-python) + - [Python Shell](#python-shell) + - [Instalar Visual Studio Code](#instalar-visual-studio-code) + - [Cómo usar Visual Studio Code](#cómo-usar-visual-studio-code) + - [Fundamentos de Python](#fundamentos-de-python) + - [Sintaxis de Python](#sintaxis-de-python) + - [Indentación en Python](#indentación-en-python) + - [Comentarios](#comentarios) +- [Ejemplo: comentario de una sola línea](#ejemplo-comentario-de-una-sola-línea) +- [Ejemplo: comentario multilínea (docstring)](#ejemplo-comentario-multilínea-docstring) + - [Tipos de datos](#tipos-de-datos) + - [Números](#números) + - [Cadenas](#cadenas) + - [Booleanos](#booleanos) + - [Listas](#listas) + - [Diccionarios](#diccionarios) + - [Tuplas](#tuplas) + - [Conjuntos](#conjuntos) + - [Comprobar tipos de datos](#comprobar-tipos-de-datos) + - [Archivos Python](#archivos-python) + - [💻 Ejercicios - Día 1](#-ejercicios---día-1) + - [Ejercicios: Nivel 1](#ejercicios-nivel-1) + - [Ejercicios: Nivel 2](#ejercicios-nivel-2) + - [Ejercicios: Nivel 3](#ejercicios-nivel-3) + +# 📘 Día 1 + +## ¡Bienvenido! + +**Felicidades** por decidir participar en el desafío de programación _30 Días de Python_. En este reto aprenderás todo lo necesario para convertirte en programador Python y la mayoría de los conceptos de programación. Al finalizar el reto recibirás un certificado del desafío _30DaysOfPython_. + +Si quieres participar activamente, únete al grupo de Telegram [30DaysOfPython challenge](https://t.me/ThirtyDaysOfPython). + +## Introducción + +Python es un lenguaje de programación de alto nivel, de propósito general. Es un lenguaje de código abierto, interpretado y orientado a objetos. Python fue creado por el programador holandés Guido van Rossum. El nombre del lenguaje proviene del show cómico británico _Monty Python's Flying Circus_. La primera versión se lanzó el 20 de febrero de 1991. Este desafío de 30 días te ayudará a aprender progresivamente la versión más reciente de Python, Python 3. Cada día cubre un tema diferente con explicaciones claras, ejemplos del mundo real, y muchos ejercicios y proyectos prácticos. + +El reto es adecuado para principiantes y profesionales que quieran aprender Python. Completar el reto puede tomar de 30 a 100 días; los miembros activos del grupo de Telegram tienen más probabilidades de terminarlo. + +Este reto fue escrito inicialmente en inglés sencillo, y luego traducido al chino. El reto es motivador, accesible y desafiante. Requiere dedicación para completarlo. Si aprendes mejor con vídeos, visita el canal Washera en YouTube: +Washera YouTube channel. Puedes empezar por el video [Python for absolute beginners](https://youtu.be/OCCWZheOesI). Suscríbete, deja tus preguntas en los comentarios y sé proactivo; el autor te podrá notar. + +El autor aprecia tus comentarios, que compartas el contenido y la retroalimentación sobre el reto 30DaysOfPython. Puedes dejar feedback aquí: [link](https://www.asabeneh.com/testimonials) + +## ¿Por qué elegir Python? + +Python es un lenguaje con sintaxis cercana al lenguaje humano, sencillo y fácil de aprender y usar. +Python es usado en muchas industrias y empresas (incluido Google). Se usa para desarrollar aplicaciones web, de escritorio, administración de sistemas y librerías de aprendizaje automático. Python está ampliamente adoptado en la comunidad de ciencia de datos y machine learning. Si esto no te convence, ¡es hora de empezar! + +## Configuración del entorno + +### Instalar Python + +Para ejecutar scripts escritos en Python necesitas instalar Python. Visita la página de descargas de Python: [https://www.python.org/](https://www.python.org/). + +Si usas Windows haz clic en el botón marcado en la imagen. + +[![Instalar en Windows](.././images/installing_on_windows.png)](https://www.python.org/) + +Si usas macOS haz clic en el botón marcado en la imagen. + +[![Instalar en macOS](.././images/installing_on_macOS.png)](https://www.python.org/) + +Para comprobar si Python está instalado, abre la terminal y ejecuta: + +```shell +python --version +``` + +![Versión de Python](../images/python_versio.png) + +En mi terminal aparece Python 3.7.5. Tu versión puede variar, pero debe ser 3.6 o superior. Si ves la versión, Python está instalado. Continúa al siguiente apartado. + +### Python Shell + +Python es un lenguaje interpretado, no necesita compilación. Se ejecuta línea por línea. Python incluye el Python Shell (intérprete interactivo), también llamado REPL (Read Eval Print Loop). Se usa para ejecutar comandos Python individuales y ver resultados al instante. + +El Python Shell espera código Python. Al escribir código lo interpreta y muestra el resultado. +Abre la terminal o el símbolo del sistema (cmd) y escribe: + +```shell +python +``` + +![Python Scripting Shell](../images/opening_python_shell.png) + +El intérprete interactivo de Python estará abierto y mostrará el prompt >>> para que escribas comandos Python. Escribe tu primer script y pulsa Enter. +Veamos un ejemplo en el Shell interactivo. + +![Script Python en el shell](../images/adding_on_python_shell.png) + +Genial: escribiste tu primer script en el Shell interactivo. ¿Cómo salir del Shell? +Para salir escribe **exit()** y pulsa Enter. + +![Salir del shell de Python](../images/exit_from_shell.png) + +Ahora sabes cómo abrir y cerrar el intérprete interactivo. + +Si escribes código inválido, Python mostrará un error. Probemos un error intencional: + +![Error de sintaxis inválida](../images/invalid_syntax_error.png) + +El error indica Syntax Error: Invalid Syntax. Usar x para multiplicar no es válido en Python; el operador correcto es el asterisco (*). El error señala exactamente lo que hay que corregir. + +El proceso de encontrar y corregir errores se llama depuración (debugging). Reemplazamos x por * y volvemos a ejecutar: + +![Corrigiendo Error de sintaxis](../images/fixing_syntax_error.png) + +El error se corrige y el código produce el resultado esperado. Verás errores así a diario; aprender a depurar es esencial. Para depurar bien debes reconocer los tipos de errores: SyntaxError, IndexError, NameError, ModuleNotFoundError, KeyError, ImportError, AttributeError, TypeError, ValueError, ZeroDivisionError, etc. Los explicaremos más adelante. + +Practiquemos más en el Python Shell. Abre la terminal y escribe python. + +![Python Scripting Shell](../images/opening_python_shell.png) + +Con el Shell abierto hagamos operaciones matemáticas básicas: suma, resta, multiplicación, división, módulo y potencia. + +Antes de programar, hagamos algunos cálculos: + +- 2 + 3 = 5 +- 3 - 2 = 1 +- 3 * 2 = 6 +- 3 / 2 = 1.5 +- 3 ** 2 = 9 + +En Python también tenemos: + +- 3 % 2 = 1 => resto de la división +- 3 // 2 = 1 => división entera (sin resto) + +Conviértelo a código Python en el Shell. Primero escribe un comentario. + +Un comentario es texto ignorado por Python. Sirve para documentar y mejorar la legibilidad. En Python los comentarios empiezan con #. +Así se escribe un comentario en Python: + +```python +# Los comentarios comienzan con una almohadilla +# Este es un comentario en Python porque empieza con (#) +``` + +![Operaciones en el shell de Python](../images/maths_on_python_shell.png) + +Antes de continuar, practica más: cierra el Shell con _exit()_ y vuelve a abrirlo; escribe texto en el Shell: + +![Escribir cadena en el shell de Python](./images/writing_string_on_shell.png) + +### Instalar Visual Studio Code + +El Python Shell está bien para probar fragmentos, pero para proyectos más grandes se usan editores de código. En este reto usaremos Visual Studio Code. VS Code es un editor de texto de código abierto muy popular. Recomiendo instalar Visual Studio Code, aunque puedes usar otro editor si lo prefieres. + +[![Visual Studio Code](../images/vscode.png)](https://code.visualstudio.com/) + +Si ya tienes Visual Studio Code, veamos cómo usarlo. +Si prefieres vídeos, mira el tutorial de instalación y configuración de VS Code para Python: https://www.youtube.com/watch?v=bn7Cx4z-vSo + +#### Cómo usar Visual Studio Code + +Abre Visual Studio Code haciendo doble clic en su icono. Aparecerá la interfaz. Interactúa con los iconos marcados en la imagen. + +![Visual Studio Code](../images/vscode_ui.png) + +Crea en el escritorio una carpeta llamada 30DaysOfPython. Ábrela con Visual Studio Code. + +![Abrir proyecto en Visual Studio](../images/how_to_open_project_on_vscode.png) + +![Abrir un proyecto](../images/opening_project.png) + +Dentro del proyecto verás accesos para crear archivos y carpetas. Yo creé el primer archivo helloworld.py; tú puedes hacer lo mismo. + +![Crear archivo Python](../images/helloworld.png) + +Cuando termines de programar puedes cerrar el proyecto desde el editor: + +![Cerrar proyecto abierto](../images/closing_opened_project.png) + +¡Enhorabuena! El entorno está listo. ¡Manos a la obra! + +## Fundamentos de Python + +### Sintaxis de Python + +Los scripts Python se pueden escribir en el Shell interactivo o en un editor. Los archivos Python usan la extensión .py. + +### Indentación en Python + +La indentación son espacios en blanco en el código. En muchos lenguajes se usa para mejorar legibilidad; en Python se usa para definir bloques de código. En otros lenguajes se usan llaves. Un error común en Python es el error de indentación. + +![Error de indentación](../images/indentation.png) + +### Comentarios + +Los comentarios son importantes para la legibilidad. Python no ejecuta el texto dentro de comentarios. +Cualquier texto que comience con # en Python es un comentario. + +# Ejemplo: comentario de una sola línea + +```shell +# Este es el primer comentario +# Este es el segundo comentario +# Python se está apoderando del mundo +``` + +# Ejemplo: comentario multilínea (docstring) + +Se pueden usar comillas triples para comentarios multilínea si no se asignan a una variable. + +```shell +"""Este es un comentario multilínea +Los comentarios multilínea ocupan varias líneas. +Python se está apoderando del mundo +""" +``` + +### Tipos de datos + +Python tiene varios tipos de datos. Empecemos por los más comunes. Veremos otros tipos más en detalle en secciones posteriores. A continuación un resumen para familiarizarte. + +#### Números + +- Enteros: ... -3, -2, -1, 0, 1, 2, 3 ... +- Flotantes: ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... +- Complejos: 1 + j, 2 + 4j + +#### Cadenas + +Texto entre comillas simples o dobles; para multilínea se usan comillas triples. + +**Ejemplos:** + +```py +'Asabeneh' +'Finland' +'Python' +'I love teaching' +'I hope you are enjoying the first day of 30DaysOfPython Challenge' +``` + +#### Booleanos + +True o False. Deben estar en mayúscula. + +**Ejemplo:** + +```python +True # ¿La luz está encendida? Si sí, el valor es True +False # ¿La luz está encendida? Si no, el valor es False +``` + +#### Listas + +Lista ordenada que puede contener distintos tipos, similar a un array en JavaScript. + +**Ejemplos:** + +```py +[0, 1, 2, 3, 4, 5] # todos números +['Banana', 'Orange', 'Mango', 'Avocado'] # todos cadenas +['Finland','Estonia', 'Sweden','Norway'] # todos cadenas (países) +['Banana', 10, False, 9.81] # mezcla de tipos +``` + +#### Diccionarios + +Colección no ordenada de pares clave:valor. + +**Ejemplo:** + +```py +{ +'first_name':'Asabeneh', +'last_name':'Yetayeh', +'country':'Finland', +'age':250, +'is_married':True, +'skills':['JS', 'React', 'Node', 'Python'] +} +``` + +#### Tuplas + +Colección ordenada e inmutable. + +**Ejemplo:** + +```py +('Asabeneh', 'Pawel', 'Brook', 'Abraham', 'Lidiya') # nombres +``` + +```py +('Earth', 'Jupiter', 'Neptune', 'Mars', 'Venus', 'Saturn', 'Uranus', 'Mercury') # planetas +``` + +#### Conjuntos + +Colección no ordenada que almacena elementos únicos (sin duplicados). + +**Ejemplos:** + +```py +{2, 4, 3, 5} +{3.14, 9.81, 2.7} # el orden en un set no importa +``` + +Detallaremos cada tipo de dato en secciones posteriores. + +### Comprobar tipos de datos + +Usa la función built-in **type** para comprobar el tipo de una variable. En la imagen puedes ver ejemplos: + +![Comprobando tipos de datos](../images/checking_data_types.png) + +### Archivos Python + +Abre tu carpeta de proyecto 30DaysOfPython (créala si no existe). Dentro crea helloworld.py. Repite lo que hicimos en el Shell pero usando print() para ver resultados en consola desde un archivo. + +En el intérprete se imprime sin print, pero en VS Code debes usar la función _print()_. Ejemplo de uso: _print('argumento1', 'argumento2')_. + +**Ejemplo:** archivo helloworld.py + +```py +# Día 1 - Desafío 30DaysOfPython + +print(2 + 3) # Suma (+) +print(3 - 1) # Resta (-) +print(2 * 3) # Multiplicación (*) +print(3 / 2) # División (/) +print(3 ** 2) # Potencia (**) +print(3 % 2) # Módulo (%) +print(3 // 2) # División entera (//) + +# Comprobar tipos de datos +print(type(10)) # entero +print(type(3.14)) # flotante +print(type(1 + 3j)) # complejo +print(type('Asabeneh')) # cadena +print(type([1, 2, 3])) # lista +print(type({'name':'Asabeneh'})) # diccionario +print(type({9.8, 3.14, 2.7})) # conjunto +print(type((9.8, 3.14, 2.7))) # tupla +``` + +Para ejecutar el archivo: en VS Code usa el botón verde o en la terminal escribe _python helloworld.py_. + +![Ejecutando script Python](../images/running_python_script.png) + +Genial. Completaste el Día 1. Practica con los ejercicios siguientes. + +## 💻 Ejercicios - Día 1 + +### Ejercicios: Nivel 1 + +1. Comprueba la versión de Python que usas. +2. Abre el Python Shell e intenta con los operandos 3 y 4: + - Suma (+) + - Resta (-) + - Multiplicación (*) + - Módulo (%) + - División (/) + - Potencia (**) + - División entera (//) +3. En el Python Shell escribe las siguientes cadenas: + - Tu nombre + - Tu apellido + - Tu país + - Estoy disfrutando 30 días de Python +4. Comprueba el tipo de los siguientes datos: + - 10 + - 9.8 + - 3.14 + - 4 - 4j + - ['Asabeneh', 'Python', 'Finland'] + - Tu nombre + - Tu apellido + - Tu país + +### Ejercicios: Nivel 2 + +1. Crea en la carpeta 30DaysOfPython una carpeta llamada day_1. Dentro crea helloworld.py y repite las preguntas 1, 2, 3 y 4. Recuerda usar _print()_ en archivos. Navega a la carpeta donde guardaste el archivo y ejecútalo. + +### Ejercicios: Nivel 3 + +1. Escribe ejemplos para distintos tipos de datos en Python: números (enteros, flotantes, complejos), cadenas, booleanos, listas, tuplas, conjuntos y diccionarios. +2. Calcula la distancia euclídea entre (2, 3) y (10, 8): [Euclidean distance](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance). + +🎉 ¡Felicidades! 🎉 + +[Ir al Día 2 >>](./02_variables_builtin_functions_sp.md) diff --git a/Spanish/readme.md b/Spanish/readme.md new file mode 100644 index 000000000..bea18435f --- /dev/null +++ b/Spanish/readme.md @@ -0,0 +1,457 @@ +# 🐍 30 Days Of Python + +|# Day | Topics | +|------|:---------------------------------------------------------:| +| 01 | [Introducción](./readme.md)| +| 02 | [Variables, funciones integradas](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md)| +| 03 | [Operadores](./03_Day_Operators/03_operators.md)| +| 04 | [Strings](./04_Day_Strings/04_strings.md)| +| 05 | [Lists](./05_Day_Lists/05_lists.md)| +| 06 | [Tuplas](./06_Day_Tuples/06_tuples.md)| +| 07 | [Sets](./07_Day_Sets/07_sets.md)| +| 08 | [Diccionarios](./08_Day_Dictionaries/08_dictionaries.md)| +| 09 | [Condicionales](./09_Day_Conditionals/09_conditionals.md)| +| 10 | [Bucles](./10_Day_Loops/10_loops.md)| +| 11 | [Funciones](./11_Day_Functions/11_functions.md)| +| 12 | [Módulos](./12_Day_Modules/12_modules.md)| +| 13 | [Lista de comprensión](./13_Day_List_comprehension/13_list_comprehension.md)| +| 14 | [Funciones de orden superior](./14_Day_Higher_order_functions/14_higher_order_functions.md)| +| 15 | [Errores de tipo Python](./15_Day_Python_type_errors/15_python_type_errors.md)| +| 16 | [Fecha y hora de Python](./16_Day_Python_date_time/16_python_datetime.md) | +| 17 | [Manejo de excepciones](./17_Day_Exception_handling/17_exception_handling.md)| +| 18 | [Expresiones regulares](./18_Day_Regular_expressions/18_regular_expressions.md)| +| 19 | [Manejo de archivos](./19_Day_File_handling/19_file_handling.md)| +| 20 | [Administrador de paquetes de Python](./20_Day_Python_package_manager/20_python_package_manager.md)| +| 21 | [Clases y Objetos](./21_Day_Classes_and_objects/21_classes_and_objects.md)| +| 22 | [Raspado web](./22_Day_Web_scraping/22_web_scraping.md)| +| 23 | [Ambiente virtual](./23_Day_Virtual_environment/23_virtual_environment.md)| +| 24 | [Estadísticas](./24_Day_Statistics/24_statistics.md)| +| 25 | [Pandas](./25_Day_Pandas/25_pandas.md)| +| 26 | [Python web](./26_Day_Python_web/26_python_web.md)| +| 27 | [Python con MongoDB](./27_Day_Python_with_mongodb/27_python_with_mongodb.md)| +| 28 | [API](./28_Day_API/28_API.md)| +| 29 | [Building API](./29_Day_Building_API/29_building_API.md)| +| 30 | [Conclusiones](./30_Day_Conclusions/30_conclusions.md)| + +🧡🧡🧡 FELIZ CODIGO 🧡🧡🧡 + +
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    30 días de Python: Día 1 - Introducción

    + + + + + Twitter Follow + + + Author: + Asabeneh Yetayeh
    + Second Edition: July, 2021 +     +
    + +[Dia 2 >>](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) + +![30DaysOfPython](./../images/30DaysOfPython_banner3@2x.png) + +- [🐍 30 Days Of Python](#-30-days-of-python) +- [📘 Day 1](#-day-1) + - [Welcome](#welcome) + - [Introduction](#introduction) + - [Why Python ?](#why-python-) + - [Environment Setup](#environment-setup) + - [Installing Python](#installing-python) + - [Python Shell](#python-shell) + - [Installing Visual Studio Code](#installing-visual-studio-code) + - [How to use visual studio code](#how-to-use-visual-studio-code) + - [Basic Python](#basic-python) + - [Python Syntax](#python-syntax) + - [Python Indentation](#python-indentation) + - [Comments](#comments) + - [Data types](#data-types) + - [Number](#number) + - [String](#string) + - [Booleans](#booleans) + - [List](#list) + - [Dictionary](#dictionary) + - [Tuple](#tuple) + - [Set](#set) + - [Checking Data types](#checking-data-types) + - [Python File](#python-file) + - [💻 Exercises - Day 1](#-exercises---day-1) + - [Exercise: Level 1](#exercise-level-1) + - [Exercise: Level 2](#exercise-level-2) + - [Exercise: Level 3](#exercise-level-3) + +# 📘 Day 1 + +## Welcome + +**Congratulations** for deciding to participate in a _30 days of Python_ programming challenge . In this challenge you will learn everything you need to be a python programmer and the whole concept of programming. In the end of the challenge you will get a _30DaysOfPython_ programming challenge certificate. + +If you would like to actively engage in the challenge, you may join the [30DaysOfPython challenge](https://t.me/ThirtyDaysOfPython) telegram group. + +## Introduction + +Python is a high-level programming language for general-purpose programming. It is an open source, interpreted, objected-oriented programming language. Python was created by a Dutch programmer, Guido van Rossum. The name of Python programming language was derived from a British sketch comedy series, _Monty Python's Flying Circus_. The first version was released on February 20, 1991. This 30 days of Python challenge will help you learn the latest version of Python, Python 3 step by step. The topics are broken down into 30 days, where each day contains several topics with easy-to-understand explanations, real-world examples, many hands on exercises and projects. + +This challenge is designed for beginners and professionals who want to learn python programming language. It may take 30 to 100 days to complete the challenge, people who actively participate on the telegram group have a high probability of completing the challenge. + +This challenge is easy to read, written in conversational English, engaging, motivating and at the same time, it is very demanding. You need to allocate much time to finish this challenge. If you are a visual learner, you may get the video lesson on Washera YouTube channel. You may start from [Python for Absolute Beginners video](https://youtu.be/OCCWZheOesI). Subscribe the channel, comment and ask questions on YouTube vidoes and be proactive, the author will eventually notice you. + +The author likes to hear your opinion about the challenge, share the author by expressing your thoughts about the 30DaysOfPython challenge. You can leave your testimonial on this [link](https://testimonial-vdzd.onrender.com/) + +## Why Python ? + +It is a programming language which is very close to human language and because of that it is easy to learn and use. +Python is used by various industries and companies (including Google). It has been used to develop web applications, desktop applications, system adminstration, and machine learning libraries. Python is highly embraced language in the data science and machine learning community. I hope this is enough to convince you to start learning Python. Python is eating the world and you are killing it before it eats you. + +## Environment Setup + +### Installing Python + +To run a python script you need to install python. Let's [download](https://www.python.org/) python. +If your are a windows user. Click the button encircled in red. + +[![installing on Windows](./images/installing_on_windows.png)](https://www.python.org/) + +If you are a macOS user. Click the button encircled in red. + +[![installing on Windows](./images/installing_on_macOS.png)](https://www.python.org/) + +To check if python is installed write the following command on your device terminal. + +```shell +python --version +``` + +![Python Version](./images/python_versio.png) + +As you can see from the terminal, I am using _Python 3.7.5_ version at the moment. Your version of Python might be different from mine by but it should be 3.6 or above. If you mange to see the python version, well done. Python has been installed on your machine. Continue to the next section. + +### Python Shell + +Python is an interpreted scripting language, so it does not need to be compiled. It means it executes the code line by line. Python comes with a _Python Shell (Python Interactive Shell)_. It is used to execute a single python command and get the result. + +Python Shell waits for the Python code from the user. When you enter the code, it interprets the code and shows the result in the next line. +Open your terminal or command prompt(cmd) and write: + +```shell +python +``` + +![Python Scripting Shell](./images/opening_python_shell.png) + +The Python interactive shell is opened and it is waiting for you to write Python code(Python script). You will write your Python script next to this symbol >>> and then click Enter. +Let us write our very first script on the Python scripting shell. + +![Python script on Python shell](./images/adding_on_python_shell.png) + +Well done, you wrote your first Python script on Python interactive shell. How do we close the Python interactive shell ? +To close the shell, next to this symbol >> write **exit()** command and press Enter. + +![Exit from python shell](./images/exit_from_shell.png) + +Now, you know how to open the Python interactive shell and how to exit from it. + +Python will give you results if you write scripts that Python understands, if not it returns errors. Let's make a deliberate mistake and see what Python will return. + +![Invalid Syntax Error](./images/invalid_syntax_error.png) + +As you can see from the returned error, Python is so clever that it knows the mistake we made and which was _Syntax Error: invalid syntax_. Using x as multiplication in Python is a syntax error because (x) is not a valid syntax in Python. Instead of (**x**) we use asterisk (*) for multiplication. The returned error clearly shows what to fix. + +The process of identifying and removing errors from a program is called _debugging_. Let us debug it by putting * in place of **x**. + +![Fixing Syntax Error](./images/fixing_syntax_error.png) + +Our bug was fixed, the code ran and we got a result we were expecting. As a programmer you will see such kind of errors on daily basis. It is good to know how to debug. To be good at debugging you should understand what kind of errors you are facing. Some of the Python errors you may encounter are _SyntaxError_, _IndexError_, _NameError_, _ModuleNotFoundError_, _KeyError_, _ImportError_, _AttributeError_, _TypeError_, _ValueError_, _ZeroDivisionError_ etc. We will see more about different Python **_error types_** in later sections. + +Let us practice more how to use Python interactive shell. Go to your terminal or command prompt and write the word **python**. + +![Python Scripting Shell](./images/opening_python_shell.png) + +The Python interactive shell is opened. Let us do some basic mathematical operations (addition, subtraction, multiplication, division, modulus, exponential). + +Let us do some maths first before we write any Python code: + +- 2 + 3 is 5 +- 3 - 2 is 1 +- 3 \* 2 is 6 +- 3 / 2 is 1.5 +- 3 ** 2 is the same as 3 * 3 + +In python we have the following additional operations: + +- 3 % 2 = 1 => which means finding the remainder +- 3 // 2 = 1 => which means removing the remainder + +Let us change the above mathematical expressions to Python code. The Python shell has been opened and let us write a comment at the very beginning of the shell. + +A _comment_ is a part of the code which is not executed by python. So we can leave some text in our code to make our code more readable. Python does not run the comment part. A comment in python starts with hash(#) symbol. +This is how you write a comment in python + +```shell + # comment starts with hash + # this is a python comment, because it starts with a (#) symbol +``` + +![Maths on python shell](./images/maths_on_python_shell.png) + +Before we move on to the next section, let us practice more on the Python interactive shell. Close the opened shell by writing _exit()_ on the shell and open it again and let us practice how to write text on the Python shell. + +![Writing String on python shell](./images/writing_string_on_shell.png) + +### Installing Visual Studio Code + +The Python interactive shell is good to try and test small script codes but it will not be for a big project. In real work environment, developers use different code editors to write codes. In this 30 days of Python programming challenge we will use visual studio code. Visual studio code is a very popular open source text editor. I am a fan of vscode and I would recommend to [download](https://code.visualstudio.com/) visual studio code, but if you are in favor of other editors, feel free to follow with what you have. + +[![Visual Studio Code](./images/vscode.png)](https://code.visualstudio.com/) + +If you installed visual studio code, let us see how to use it. +If you prefer a video, you can follow this Visual Studio Code for Python [Video tutorial](https://www.youtube.com/watch?v=bn7Cx4z-vSo) + +#### How to use visual studio code + +Open the visual studio code by double clicking the visual studio icon. When you open it you will get this kind of interface. Try to interact with the labeled icons. + +![Visual studio Code](./images/vscode_ui.png) + +Create a folder named 30DaysOfPython on your desktop. Then open it using visual studio code. + +![Opening Project on Visual studio](./images/how_to_open_project_on_vscode.png) + +![Opening a project](./images/opening_project.png) + +After opening it you will see shortcuts for creating files and folders inside of 30DaysOfPython project's directory. As you can see below, I have created the very first file, helloworld.py. You can do the same. + +![Creating a python file](./images/helloworld.png) + +After a long day of coding, you want to close your code editor, right? This is how you will close the opened project. + +![Closing project](./images/closing_opened_project.png) + +Congratulations, you have finished setting up the development environment. Let us start coding. + +## Basic Python + +### Python Syntax + +A Python script can be written in Python interactive shell or in the code editor. A Python file has an extension .py. + +### Python Indentation + +An indentation is a white space in a text. Indentation in many languages is used to increase code readability, however Python uses indentation to create block of codes. In other programming languages curly brackets are used to create blocks of codes instead of indentation. One of the common bugs when writing python code is wrong indentation. + +![Indentation Error](./images/indentation.png) + +### Comments + +Comments are very important to make the code more readable and to leave remarks in our code. Python does not run comment parts of our code. +Any text starting with hash(#) in Python is a comment. + +**Example: Single Line Comment** + +```shell + # This is the first comment + # This is the second comment + # Python is eating the world +``` + +**Example: Multiline Comment** + +Triple quote can be used for multiline comment if it is not assigned to a variable + +```shell +"""This is multiline comment +multiline comment takes multiple lines. +python is eating the world +""" +``` + +### Data types + +In Python there are several types of data types. Let us get started with the most common ones. Different data types will be covered in detail in other sections. For the time being, let us just go through the different data types and get familiar with them. You do not have to have a clear understanding now. + +#### Number + +- Integer: Integer(negative, zero and positive) numbers + Example: + ... -3, -2, -1, 0, 1, 2, 3 ... +- Float: Decimal number + Example + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... +- Complex + Example + 1 + j, 2 + 4j + +#### String + +A collection of one or more characters under a single or double quote. If a string is more than one sentence then we use a triple quote. + +**Example:** + +```py +'Asabeneh' +'Finland' +'Python' +'I love teaching' +'I hope you are enjoying the first day of 30DaysOfPython Challenge' +``` + +#### Booleans + +A boolean data type is either a True or False value. T and F should be always uppercase. + +**Example:** + +```python + True # Is the light on? If it is on, then the value is True + False # Is the light on? If it is off, then the value is False +``` + +#### List + +Python list is an ordered collection which allows to store different data type items. A list is similar to an array in JavaScript. + +**Example:** + +```py +[0, 1, 2, 3, 4, 5] # all are the same data types - a list of numbers +['Banana', 'Orange', 'Mango', 'Avocado'] # all the same data types - a list of strings (fruits) +['Finland','Estonia', 'Sweden','Norway'] # all the same data types - a list of strings (countries) +['Banana', 10, False, 9.81] # different data types in the list - string, integer, boolean and float +``` + +#### Dictionary + +A Python dictionary object is an unordered collection of data in a key value pair format. + +**Example:** + +```py +{ +'first_name':'Asabeneh', +'last_name':'Yetayeh', +'country':'Finland', +'age':250, +'is_married':True, +'skills':['JS', 'React', 'Node', 'Python'] +} +``` + +#### Tuple + +A tuple is an ordered collection of different data types like list but tuples can not be modified once they are created. They are immutable. + +**Example:** + +```py +('Asabeneh', 'Pawel', 'Brook', 'Abraham', 'Lidiya') # Names +``` + +```py +('Earth', 'Jupiter', 'Neptune', 'Mars', 'Venus', 'Saturn', 'Uranus', 'Mercury') # planets +``` + +#### Set + +A set is a collection of data types similar to list and tuple. Unlike list and tuple, set is not an ordered collection of items. Like in Mathematics, set in Python stores only unique items. + +In later sections, we will go in detail about each and every Python data type. + +**Example:** + +```py +{2, 4, 3, 5} +{3.14, 9.81, 2.7} # order is not important in set +``` + +### Checking Data types + +To check the data type of certain data/variable we use the **type** function. In the following terminal you will see different python data types: + +![Checking Data types](./images/checking_data_types.png) + +### Python File + +First open your project folder, 30DaysOfPython. If you don't have this folder, create a folder name called 30DaysOfPython. Inside this folder, create a file called helloworld.py. Now, let's do what we did on python interactive shell using visual studio code. + +The Python interactive shell was printing without using **print** but on visual studio code to see our result we should use a built in function _print(). The _print()_ built-in function takes one or more arguments as follows _print('arument1', 'argument2', 'argument3')_. See the examples below. + +**Example:** + +The file name is helloworld.py + +```py +# Day 1 - 30DaysOfPython Challenge + +print(2 + 3) # addition(+) +print(3 - 1) # subtraction(-) +print(2 * 3) # multiplication(*) +print(3 / 2) # division(/) +print(3 ** 2) # exponential(**) +print(3 % 2) # modulus(%) +print(3 // 2) # Floor division operator(//) + +# Checking data types +print(type(10)) # Int +print(type(3.14)) # Float +print(type(1 + 3j)) # Complex number +print(type('Asabeneh')) # String +print(type([1, 2, 3])) # List +print(type({'name':'Asabeneh'})) # Dictionary +print(type({9.8, 3.14, 2.7})) # Set +print(type((9.8, 3.14, 2.7))) # Tuple +``` + +To run the python file check the image below. You can run the python file either by running the green button on Visual Studio Code or by typing _python helloworld.py_ in the terminal . + +![Running python script](./images/running_python_script.png) + +🌕 You are amazing. You have just completed day 1 challenge and you are on your way to greatness. Now do some exercises for your brain and muscles. + +## 💻 Exercises - Day 1 + +### Exercise: Level 1 + +1. Check the python version you are using +2. Open the python interactive shell and do the following operations. The operands are 3 and 4. + - addition(+) + - subtraction(-) + - multiplication(\*) + - modulus(%) + - division(/) + - exponential(\*\*) + - floor division operator(//) +3. Write strings on the python interactive shell. The strings are the following: + - Your name + - Your family name + - Your country + - I am enjoying 30 days of python +4. Check the data types of the following data: + - 10 + - 9.8 + - 3.14 + - 4 - 4j + - ['Asabeneh', 'Python', 'Finland'] + - Your name + - Your family name + - Your country + +### Exercise: Level 2 + +1. Create a folder named day_1 inside 30DaysOfPython folder. Inside day_1 folder, create a python file helloworld.py and repeat questions 1, 2, 3 and 4. Remember to use _print()_ when you are working on a python file. Navigate to the directory where you have saved your file, and run it. + +### Exercise: Level 3 + +1. Write an example for different Python data types such as Number(Integer, Float, Complex), String, Boolean, List, Tuple, Set and Dictionary. +2. Find an [Euclidian distance](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance.) between (2, 3) and (10, 8) + +🎉 CONGRATULATIONS ! 🎉 + +[Day 2 >>](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) diff --git a/Ukrainian/readme.md b/Ukrainian/readme.md new file mode 100644 index 000000000..bc8a56298 --- /dev/null +++ b/Ukrainian/readme.md @@ -0,0 +1,454 @@ +# 🐍 30 днів з Python + +| № дня | Теми | +|-------|:-------------------------------------------------------------------------------------------------------:| +| 01 | [Вступ](./readme.md) | +| 02 | [Variables, Built-in Functions](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) | +| 03 | [Operators](../03_Day_Operators/03_operators.md) | +| 04 | [Strings](../04_Day_Strings/04_strings.md) | +| 05 | [Lists](../05_Day_Lists/05_lists.md) | +| 06 | [Tuples](../06_Day_Tuples/06_tuples.md) | +| 07 | [Sets](../07_Day_Sets/07_sets.md) | +| 08 | [Dictionaries](../08_Day_Dictionaries/08_dictionaries.md) | +| 09 | [Conditionals](../09_Day_Conditionals/09_conditionals.md) | +| 10 | [Loops](../10_Day_Loops/10_loops.md) | +| 11 | [Functions](../11_Day_Functions/11_functions.md) | +| 12 | [Modules](../12_Day_Modules/12_modules.md) | +| 13 | [List Comprehension](../13_Day_List_comprehension/13_list_comprehension.md) | +| 14 | [Higher Order Functions](../14_Day_Higher_order_functions/14_higher_order_functions.md) | +| 15 | [Python Type Errors](../15_Day_Python_type_errors/15_python_type_errors.md) | +| 16 | [Python Date time](../16_Day_Python_date_time/16_python_datetime.md) | +| 17 | [Exception Handling](../17_Day_Exception_handling/17_exception_handling.md) | +| 18 | [Regular Expressions](../18_Day_Regular_expressions/18_regular_expressions.md) | +| 19 | [File Handling](../19_Day_File_handling/19_file_handling.md) | +| 20 | [Python Package Manager](../20_Day_Python_package_manager/20_python_package_manager.md) | +| 21 | [Classes and Objects](../21_Day_Classes_and_objects/21_classes_and_objects.md) | +| 22 | [Web Scraping](../22_Day_Web_scraping/22_web_scraping.md) | +| 23 | [Virtual Environment](../23_Day_Virtual_environment/23_virtual_environment.md) | +| 24 | [Statistics](../24_Day_Statistics/24_statistics.md) | +| 25 | [Pandas](../25_Day_Pandas/25_pandas.md) | +| 26 | [Python web](../26_Day_Python_web/26_python_web.md) | +| 27 | [Python with MongoDB](../27_Day_Python_with_mongodb/27_python_with_mongodb.md) | +| 28 | [API](../28_Day_API/28_API.md) | +| 29 | [Building API](../29_Day_Building_API/29_building_API.md) | +| 30 | [Conclusions](../30_Day_Conclusions/30_conclusions.md) | + +🧡🧡🧡 ЩАСЛИВОГО ПРОГРАМУВАННЯ 🧡🧡🧡 + +
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    30 днів Python: День 1 - Вступ

    + + + + + Twitter Follow + + + Автор: + Asabeneh Yetayeh
    + Друге видання: Липень, 2021 +     +
    + + +[День 2 >>](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) + +![30 днів з Python](../images/30DaysOfPython_banner3@2x.png) + +- [🐍 30 днів Python](#-30-days-of-python) +- [📘 День 1](#-день-1) + - [Ласкаво просимо](#ласкаво-просимо) + - [Вступ](#вступ) + - [Чому Python ?](#чому-python-) + - [Налаштування середовища](#налаштування-середовища) + - [Установлення Python](#установлення-python) + - [Оболонка Python](#оболонка-python) + - [Установлення Visual Studio Code](#установлення-visual-studio-code) + - [Як використовувати Visual studio code](#як-використовувати-visual-studio-code) + - [Початковий Python](#початковий-python) + - [Синтаксис у Python](#синтаксис-у-python) + - [Відступи у Python](#відступи-у-python) + - [Коментарі](#коментарі) + - [Типи даних](#типи-даних) + - [Number (числовий)](#number--число-) + - [String (рядок)](#string--рядок-) + - [Booleans (логічний двійковий)](#booleans--логічний-тип-даних-) + - [List (список)](#list--список-) + - [Dictionary (словник)](#dictionary--словник-) + - [Tuple (кортеж)](#tuple--кортеж-) + - [Set (набір)](#set--набір-) + - [Перевірка типів даних](#перевірка-типів-даних) + - [Файл Python](#файл-python) + - [💻 Вправи - День 1](#-вправи---день-1) + - [Вправи: Рівень 1](#вправи--рівень-1) + - [Вправи: Рівень 2](#вправи--рівень-2) + - [Вправи: Рівень 3](#вправи--рівень-3) + +# 📘 День 1 + +## Ласкаво просимо + +**Вітаємо** з прийняттям рішення про участь у 30-денному випробуванні з програмування на Python _(30DaysOfPython challenge). У цьому випробуванні ви дізнаєтеся все, що вам потрібно для того, щоб стати програмістом на python, і всю концепцію програмування. У кінці цього випробування ви отримаєте сертифікат про проходження випробування з програмування _30DaysOfPython_. + +Якщо ви бажаєте активно долучитися до випробуванні, ви можете приєднатися до групи у Telegram [30DaysOfPython challenge](https://t.me/ThirtyDaysOfPython). + +## Вступ + +Python - це мова програмування високого рівня для програмування загального призначення. Це об'єктноорієнтована мова програмування з відкритим вихідним кодом, що інтерпретується. Python була створена голландським програмістом Гвідо ван Россумом. Назва мови програмування Python походить від британського скетч-комедійного серіалу "Летючий цирк Монті Пайтона". Перша версія була випущена 20 лютого 1991 року. Це 30-денне випробування з Python допоможе вам крок за кроком вивчити останню версію Python, Python 3. Теми розбиті на 30 днів, де кожен день містить кілька тем з простими для розуміння поясненнями, реальними прикладами, безліччю практичних вправ і проектів. + +Це випробування призначене для початківців та професіоналів, які хочуть вивчити мову програмування Python. На проходження випробування може знадобитися від 30 до 100 днів, люди, які беруть активну участь у телеграм-групі, мають високу ймовірність завершити випробування. +Якщо ви навчаєтесь з використанням візуальних засобів або віддаєте перевагу відео, ви можете почати з цього [відео з Python для абсолютних новачків (англійською)](https://www.youtube.com/watch?v=11OYpBrhdyM). + +## Чому Python ? + +Це мова програмування, яка дуже близька до людської мови, і тому її легко вивчати та використовувати. +Python використовується різними галузями та компаніями (включаючи Google). Її використовують для розробки вебзастосунків, настільних застосунків, системного адміністрування та бібліотек машинного навчання. Python дуже популярна мова у спільноті, що займається наукою про дані та машинним навчанням. Сподіваюся, цього достатньо, щоби переконати вас почати вивчати Python. Python поглинає світ, а ви вбиваєте його до того, як він з'їсть вас. + +## Налаштування середовища + +### Установлення Python + +Для запуску скрипту на Python, вам потрібно встановити Python. Нумо [завантажимо](https://www.python.org/) Python. +Якщо ви є користувачем Windows. Натисніть кнопку, обведену червоним кольором. + +[![установлення на Windows](../images/installing_on_windows.png)](https://www.python.org/) + +Якщо ви є користувачем MacOS. Натисніть кнопку, обведену червоним кольором. + +[![установлення на Windows](../images/installing_on_macOS.png)](https://www.python.org/) + +Щоб перевірити, чи встановлено Python, напишіть наступну команду у терміналі вашого пристрою. + +```shell +python --version +``` + +![Версія Python](../images/python_versio.png) + +Як ви можете бачити з термінала, наразі я використовую версію _Python 3.7.5_. Ваша версія Python може відрізнятися від моєї, але вона має бути 3.6 або вище. Вам вдалося побачити версію Python? Чудова робота, Python встановлено на вашому комп'ютері. Перейдіть до наступного розділу. + +### Оболонка Python + +Python - це інтерпретована скриптова мова, тому її не потрібно компілювати. Це означає, що вона виконує код рядок за рядком. Python постачається з _Python Shell (Python Interactive Shell)_. Вона використовується для виконання однієї команди Python і отримання результату. + +Python Shell чекає на код Python від користувача. Коли ви вводите код, вона інтерпретує його і показує результат у наступному рядку. +Відкрийте термінал або командний рядок (cmd) і напишіть: + +```shell +python +``` + +![Скриптова оболонка Python](../images/opening_python_shell.png) + +Відкриється інтерактивна оболонка Python, яка чекає на написання коду на Python (скрипт Python). Ви напишете свій скрипт Python поруч з цими символами >>>, а потім натиснете Enter. +Гайда напишемо наш перший скрипт у скриптовій оболонці Python. + +![Python script on Python shell](../images/adding_on_python_shell.png) + +Чудово, ви написали свій перший Python-скрипт в інтерактивній оболонці Python. Як закрити інтерактивну оболонку Python? +Щоби закрити оболонку, поруч з цим символом >> напишіть команду **exit()** і натисніть Enter. + +![Вихід з оболонки Python](../images/exit_from_shell.png) + +Тепер ви знаєте, як відкрити інтерактивну оболонку Python і як вийти з неї. + +Python дасть вам результати, якщо ви напишете скрипти, які розуміє Python, якщо ні - він поверне помилки. Зробімо навмисну помилку і подивимося, що поверне Python. + +![Неправильний синтаксис](../images/invalid_syntax_error.png) + +Як ви можете бачити з повернутої помилки, Python настільки розумний, що знає, якої помилки ми припустилися і яка була _ Syntax Error: invalid syntax (Синтаксична помилка: невірний синтаксис)_. Використання x як множника у Python є синтаксичною помилкою, оскільки (x) не є допустимим синтаксисом у Python. Замість (**x**) ми використовуємо зірочку (*) для множення. Повернута помилка чітко показує, що потрібно виправити. + +Процес виявлення та усунення помилок у програмі називається *зневадженням (англ. debugging)*. Гайда розберемось з помилками, підставивши * замість **x**. + +![Виправлення синтаксичної помилки](../images/fixing_syntax_error.png) + +Наша помилка була виправлена, код запустився і ми отримали очікуваний результат. Як програміст, ви будете бачити подібні помилки щодня. Корисно знати, як їх зневаджувати. Щоб добре зневаджувати, ви повинні розуміти, з якими типами помилок ви стикаєтесь. Деякі з помилок Python, з якими ви можете зіткнутися: *SyntaxError*, *IndexError*, *NameError*, *ModuleNotFoundError*, *KeyError*, *ImportError*, *AttributeError*, *TypeError*, *ValueError*, *ZeroDivisionError* тощо. Ми побачимо більше про різні типи **_помилок_** у Python у наступних розділах. + +Попрактикуймось у використанні інтерактивної оболонки Python. Перейдіть до свого термінала або командного рядка і напишіть слово **python**. + +![Скриптова оболонка Python](../images/opening_python_shell.png) + +Відкрито інтерактивну оболонку Python. Виконаємо деякі базові математичні операції (додавання, віднімання, множення, ділення, піднесення до степеня, показник степеня). + +Перш ніж писати код на Python, спочатку зробімо деякі розрахунки: + +- 2 + 3 = 5 +- 3 - 2 = 1 +- 3 \* 2 = 6 +- 3 / 2 = 1.5 +- 3 ^ 2 = 3 x 3 = 9 + +У Python ми маємо наступні додаткові операції: + +- 3 % 2 = 1 => що означає знаходження залишку +- 3 // 2 = 1 => що означає видалення залишку + +Змінимо наведені вище математичні вирази на код Python. Відкриємо оболонку Python і напишемо коментар на самому початку оболонки. + +_Коментар_ - це частина коду, яка не виконується Python. Таким чином, ми можемо залишити деякий текст у нашому коді, щоби зробити його більш читабельним. Python не виконує частину коментаря. Коментар у Python починається з символу hash(#). +Ось як можна написати коментар у Python + +```shell + # comment starts with hash (коментарі починаються з решітки) + # this is a Python comment, because it starts with a (#) symbol (це коментар Python, оскільки він починається з символу (#)) +``` + +![Математика у Python Shell](../images/maths_on_python_shell.png) + +Перш ніж ми перейдемо до наступного розділу, попрактикуймось в інтерактивній оболонці Python. Закрийте відкриту оболонку, написавши у ній _exit()_, і знову відкрийте її, щоб попрактикуватися у написанні тексту в оболонці Python. + +![Написання рядка Python Shell](../images/writing_string_on_shell.png) + +### Установлення Visual Studio Code + +Інтерактивна оболонка Python добре підходить для тестування невеликих скриптових кодів, але вона не підійде для великого проєкту. У реальному робочому середовищі розробники використовують різні редактори коду для написання коду. У цьому 30-денному випробуванні з програмування на Python ми будемо використовувати Visual Studio Code. Visual Studio Code - це дуже популярний текстовий редактор з відкритим вихідним кодом. Я є прихильником vscode і рекомендую [завантажити](https://code.visualstudio.com/) Visual Studio Code, але якщо ви віддаєте перевагу іншим редакторам, не соромтеся користуватися тим, що у вас є. + +[![Visual Studio Code](../images/vscode.png)](https://code.visualstudio.com/) + +Якщо ви встановили Visual Studio Code, подивімося, як ним користуватися. +Якщо ви віддаєте перевагу відео, ви можете слідувати за цим [відео-посібнком](https://www.youtube.com/watch?v=bn7Cx4z-vSo) + +#### Як використовувати Visual Studio Code + +Відкрийте Visual Studio Code, двічі натиснувши на іконці Visual Studio Code. Коли ви відкриєте її, ви отримаєте такий інтерфейс. Спробуйте взаємодіяти з підписаними іконками. + +![Visual Studio Code](../images/vscode_ui.png) + +Створіть теку з назваю 30DaysOfPython на вашому робочому столі. Потім відкрийте її за допомогою Visual Studio Code. + +![Відкриття проєкту у Visual studio](../images/how_to_open_project_on_vscode.png) + +![Відкриття проєкту](../images/opening_project.png) + +Відкривши його, ви побачите ярлики для створення файлів і тек всередині каталогу проєкту 30DaysOfPython. Як ви можете бачити нижче, я створив перший файл, helloworld.py. Ви можете зробити те ж саме. + +![Створення Python-файлу](../images/helloworld.png) + +Після довгого дня кодування ви хочете закрити редактор коду, чи не так? Саме так ви закриєте відкритий проєкт. + +![Закриття проєкту](../images/closing_opened_project.png) + +Вітаємо, ви завершили налаштування середовища розробки. Почнімо кодування. + +## Початковий Python + +### Синтаксис у Python + +Скрипт на Python можна написати в інтерактивній оболонці Python або в редакторі коду. Файл Python має розширення .py. + +### Відступи у Python + +Відступ - це пробіл у тексті. Відступ у багатьох мовах використовується для покращення читабельності коду, однак у Python відступ використовується для створення блоків коду. В інших мовах програмування для створення блоків коду замість відступів використовуються фігурні дужки. Однією з поширених помилок при написанні коду на Python є неправильний відступ. + +![Помилка з відступом](../images/indentation.png) + +### Коментарі + +Коментарі дуже важливі для того, щоби зробити код більш читабельним і залишати зауваження в нашому коді. Python не виконує коментовані частини нашого коду. +Будь-який текст, що починається з решітки(#) у Python, є коментарем. + +**Приклад: однорядковий коментар** + +```shell + # This is the first comment (це перший коментар) + # This is the second comment (це другий коментар) + # Python is eating the world (Python поглинає світ) +``` + +**Приклад: багаторядковий коментар** + +Потрійні лапки можна використовувати для багаторядкового коментаря, якщо вони не присвоєні змінній + +```shell +"""This is multiline comment (це багаторядковий коментар) +multiline comment takes multiple lines. (багаторядковий коментар займає багато рядків) +Python is eating the world (Python поглинає світ) +""" +``` + +### Типи даних +У Python існує декілька типів даних. Почнімо з найпоширеніших. Детально різні типи даних будуть розглянуті в інших розділах. Наразі, давайте просто пройдемося по різних типах даних і познайомимося з ними. Вам не обов'язково мати чітке розуміння зараз. + +#### Number (число) + +- Integer (цілі числа): Integer(негативні, нуль та позитивні) числа + Приклад: + ... -3, -2, -1, 0, 1, 2, 3 ... +- Float (числа з рухомою комою): десяткове число + Приклад: + ... -3.5, -2.25, -1.0, 0.0, 1.1, 2.2, 3.5 ... +- Complex numbers (уявні числа) + Приклад: + 1 + j, 2 + 4j + +#### String (рядок) + +Набір з одного або більше символів, взятих в одинарні або подвійні лапки. Якщо рядок складається з більш ніж одного речення, ми використовуємо потрійні лапки. + +**Приклад:** + +```py +'Asabeneh' +'Finland' +'Python' +'I love teaching' +'I hope you are enjoying the first day of 30DaysOfPython Challenge' +``` + +#### Booleans (логічний тип даних) + +Логічний тип даних - це значення True або False. T і F завжди повинні бути великими літерами. + +**Приклад:** + +```python + True # Чи увімкнене світло? Якщо увімкнене, то значення True (істинне) + False # Чи увімкнене світло? Якщо вимкнене, то значення False (хибне) +``` + +#### List (список) + +Список у Python - це впорядкована колекція, яка дозволяє зберігати елементи різних типів даних. Список схожий на масив у JavaScript. + +**Приклад:** + +```py +[0, 1, 2, 3, 4, 5] # всі мають однаковий тип даних - список чисел +['Banana', 'Orange', 'Mango', 'Avocado'] # однакові типи даних - список рядків (фруктів) +['Finland','Estonia', 'Sweden','Norway'] # однакові типи даних - список рядків (країн) +['Banana', 10, False, 9.81] # різні типи даних у списку - string (рядок), integer (цілі числа), boolean (логічний) та float (числа з рухомою комою) +``` + +#### Dictionary (словник) + +Об'єкт словника Python - це невпорядкований набір даних у форматі пари ключ-значення. + +**Приклад:** + +```py +{ +'first_name':'Asabeneh', +'last_name':'Yetayeh', +'country':'Finland', +'age':250, +'is_married':True, +'skills':['JS', 'React', 'Node', 'Python'] +} +``` + +#### Tuple (кортеж) + +Кортеж - це впорядкована колекція різних типів даних, таких як список, але кортежі не можуть бути змінені після їх створення. Вони є незмінними. + +**Приклад:** + +```py +('Asabeneh', 'Pawel', 'Brook', 'Abraham', 'Lidiya') # Імена +``` + +```py +('Earth', 'Jupiter', 'Neptune', 'Mars', 'Venus', 'Saturn', 'Uranus', 'Mercury') # планети +``` + +#### Set (набір) + +Набір - це набір типів даних, подібних до списку та кортежу. На відміну від списку та кортежу, множина не є впорядкованою колекцією елементів. Як і в математиці, множина у Python зберігає лише унікальні елементи. + +У наступних розділах ми детально розглянемо кожен тип даних у Python. + +**Приклад:** + +```py +{2, 4, 3, 5} +{3.14, 9.81, 2.7} # порядок у наборі не важливий +``` + +### Перевірка типів даних + +Для перевірки типу даних певних даних/змінних ми використовуємо функцію **type**. У наведеному нижче терміналі ви побачите різні типи даних Python: + +![Перевірка типів даних](../images/checking_data_types.png) + +### Файл Python + +По-перше, відкрийте свою теку з проєктому 30DaysOfPython. Якщо ви не маєте цієї теки, то створіть її з назвою 30DaysOfPython. Усередині цієї теки, створіть файл з назвою helloworld.py. Тепер зробімо те, що ми робили в інтерактивній оболонці Python, використовуючи Visual Studio Code. + +Інтерактивна оболонка Python виконувала друк без використання **print**, але у коді візуальної студії, щоб побачити результат, ми повинні використати вбудовану функцію *print()*. Вбудована функція *print()* приймає один або декілька аргументів у вигляді *print('аргумент1', 'аргумент2', 'аргумент3')*. Дивіться приклади нижче. + +**Приклад:** + +Назва файлу: helloworld.py + +```py +# День 1 з випробування 30DaysOfPython + +print(2 + 3) # додавання(+) +print(3 - 1) # віднімання(-) +print(2 * 3) # множення(*) +print(3 / 2) # ділення(/) +print(3 ** 2) # взяття в ступіні(**) +print(3 % 2) # взяття залишку з ділення(%) +print(3 // 2) # взяття цілого числа з ділення(//) + +# Перевірка типів даних +print(type(10)) # Int (цілочисельний) +print(type(3.14)) # Float (числа з рухомою комою) +print(type(1 + 3j)) # Complex number (уявне число) +print(type('Asabeneh')) # String (рядок) +print(type([1, 2, 3])) # List (список) +print(type({'name':'Asabeneh'})) # Dictionary (словник) +print(type({9.8, 3.14, 2.7})) # Set (набір) +print(type((9.8, 3.14, 2.7))) # Tuple (кортеж) +``` + +Для запуску Python-файл перевірте зображення нижче. Ви можете запустити файл Python, натиснувши зелену кнопку на Visual Studio Code або ввівши *python helloworld.py* в терміналі. + +![Запуск Python-скрипту](../images/running_python_script.png) + +🌕 Ви дивовижні. Ви щойно виконали завдання першого дня і вже на шляху до величі. Тепер виконайте кілька вправ для мозку та м'язів. + +## 💻 Вправи - день 1 + +### Вправи: рівень 1 + +1. Перевірте версію Python, яку ви використовуєте +2. Відкрийте інтерактивну оболонку Python і виконайте наступні дії. Параметрами є числа 3 та 4. + - додавання(+) + - віднімання(-) + - множення(\*) + - залишок від числа(%) + - ділення(/) + - показник(\*\*) + - ціла частина від числа(//) +3. Напишіть рядки в інтерактивній оболонці Python. Рядки подано наступним чином: + - Ваше ім'я + - Ваше прізвище + - Ваша країна + - Я насолоджуюся 30 днями з Python +4. Перевірте типи наступних даних: + - 10 + - 9.8 + - 3.14 + - 4 - 4j + - ['Asabeneh', 'Python', 'Finland'] + - Ваше ім'я + - Ваше прізвище + - Ваша країна + +### Вправи: рівень 2 + +1. Створіть теку з назвою day_1 всередині теки 30DaysOfPython. Усередині теки day_1, створити Python-файл helloworld.py і повторіть питання 1, 2, 3 та 4. Пам'ятайте використовувати _print()_, коли ви працюєте над Python-файлом. Перейдіть до теки, куди ви зберегли файл, і запустіть його. + +### Вправи: рівень 3 + +1. Напишіть приклад для різних типів даних Python, як-от Number(Integer, Float, Complex), String, Boolean, List, Tuple, Set та Dictionary. +2. Знайдіть [Евклідову відстань](https://uk.wikipedia.org/wiki/%D0%95%D0%B2%D0%BA%D0%BB%D1%96%D0%B4%D0%BE%D0%B2%D0%B0_%D0%B2%D1%96%D0%B4%D1%81%D1%82%D0%B0%D0%BD%D1%8C) між (2, 3) та (10, 8) + +🎉 ВІТАННЯ ! 🎉 + +[День 2 >>](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) \ No newline at end of file diff --git a/data/cats.json b/data/cats.json new file mode 100644 index 000000000..65ac320f6 --- /dev/null +++ b/data/cats.json @@ -0,0 +1,2732 @@ +[ + { + "weight": { + "imperial": "7 - 10", + "metric": "3 - 5" + }, + "id": "abys", + "name": "Abyssinian", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/Abyssinian.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/abyssinian", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/abyssinian", + "temperament": "Active, Energetic, Independent, Intelligent, Gentle", + "origin": "Egypt", + "country_codes": "EG", + "country_code": "EG", + "description": "The Abyssinian is easy to care for, and a joy to have in your home. They’re affectionate cats and love both people and other animals.", + "life_span": "14 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 3, + "dog_friendly": 4, + "energy_level": 5, + "grooming": 1, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 2, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Abyssinian_(cat)", + "hypoallergenic": 0, + "reference_image_id": "0XYvRd7oD" + }, + { + "weight": { + "imperial": "7 - 10", + "metric": "3 - 5" + }, + "id": "aege", + "name": "Aegean", + "vetstreet_url": "http://www.vetstreet.com/cats/aegean-cat", + "temperament": "Affectionate, Social, Intelligent, Playful, Active", + "origin": "Greece", + "country_codes": "GR", + "country_code": "GR", + "description": "Native to the Greek islands known as the Cyclades in the Aegean Sea, these are natural cats, meaning they developed without humans getting involved in their breeding. As a breed, Aegean Cats are rare, although they are numerous on their home islands. They are generally friendly toward people and can be excellent cats for families with children.", + "life_span": "9 - 12", + "indoor": 0, + "alt_names": "", + "adaptability": 5, + "affection_level": 4, + "child_friendly": 4, + "dog_friendly": 4, + "energy_level": 3, + "grooming": 3, + "health_issues": 1, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 4, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Aegean_cat", + "hypoallergenic": 0, + "reference_image_id": "ozEvzdVM-" + }, + { + "weight": { + "imperial": "7 - 16", + "metric": "3 - 7" + }, + "id": "abob", + "name": "American Bobtail", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/AmericanBobtail.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/american-bobtail", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/american-bobtail", + "temperament": "Intelligent, Interactive, Lively, Playful, Sensitive", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "American Bobtails are loving and incredibly intelligent cats possessing a distinctive wild appearance. They are extremely interactive cats that bond with their human family with great devotion.", + "life_span": "11 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 1, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/American_Bobtail", + "hypoallergenic": 0, + "reference_image_id": "hBXicehMA" + }, + { + "weight": { + "imperial": "5 - 10", + "metric": "2 - 5" + }, + "id": "acur", + "name": "American Curl", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/AmericanCurl.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/american-curl", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/american-curl", + "temperament": "Affectionate, Curious, Intelligent, Interactive, Lively, Playful, Social", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Distinguished by truly unique ears that curl back in a graceful arc, offering an alert, perky, happily surprised expression, they cause people to break out into a big smile when viewing their first Curl. Curls are very people-oriented, faithful, affectionate soulmates, adjusting remarkably fast to other pets, children, and new situations.", + "life_span": "12 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 2, + "health_issues": 1, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/American_Curl", + "hypoallergenic": 0, + "reference_image_id": "xnsqonbjW" + }, + { + "weight": { + "imperial": "8 - 15", + "metric": "4 - 7" + }, + "id": "asho", + "name": "American Shorthair", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/AmericanShorthair.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/american-shorthair", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/american-shorthair", + "temperament": "Active, Curious, Easy Going, Playful, Calm", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The American Shorthair is known for its longevity, robust health, good looks, sweet personality, and amiability with children, dogs, and other pets.", + "life_span": "15 - 17", + "indoor": 0, + "lap": 1, + "alt_names": "Domestic Shorthair", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 1, + "health_issues": 3, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/American_Shorthair", + "hypoallergenic": 0, + "reference_image_id": "JFPROfGtQ" + }, + { + "weight": { + "imperial": "8 - 15", + "metric": "4 - 7" + }, + "id": "awir", + "name": "American Wirehair", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/AmericanWirehair.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/american-wirehair", + "temperament": "Affectionate, Curious, Gentle, Intelligent, Interactive, Lively, Loyal, Playful, Sensible, Social", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The American Wirehair tends to be a calm and tolerant cat who takes life as it comes. His favorite hobby is bird-watching from a sunny windowsill, and his hunting ability will stand you in good stead if insects enter the house.", + "life_span": "14 - 18", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 1, + "health_issues": 3, + "intelligence": 3, + "shedding_level": 1, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/American_Wirehair", + "hypoallergenic": 0, + "reference_image_id": "8D--jCd21" + }, + { + "weight": { + "imperial": "8 - 16", + "metric": "4 - 7" + }, + "id": "amau", + "name": "Arabian Mau", + "vcahospitals_url": "", + "temperament": "Affectionate, Agile, Curious, Independent, Playful, Loyal", + "origin": "United Arab Emirates", + "country_codes": "AE", + "country_code": "AE", + "description": "Arabian Mau cats are social and energetic. Due to their energy levels, these cats do best in homes where their owners will be able to provide them with plenty of playtime, attention and interaction from their owners. These kitties are friendly, intelligent, and adaptable, and will even get along well with other pets and children.", + "life_span": "12 - 14", + "indoor": 0, + "alt_names": "Alley cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 1, + "health_issues": 1, + "intelligence": 3, + "shedding_level": 1, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Arabian_Mau", + "hypoallergenic": 0, + "reference_image_id": "k71ULYfRr" + }, + { + "weight": { + "imperial": "7 - 15", + "metric": "3 - 7" + }, + "id": "amis", + "name": "Australian Mist", + "temperament": "Lively, Social, Fun-loving, Relaxed, Affectionate", + "origin": "Australia", + "country_codes": "AU", + "country_code": "AU", + "description": "The Australian Mist thrives on human companionship. Tolerant of even the youngest of children, these friendly felines enjoy playing games and being part of the hustle and bustle of a busy household. They make entertaining companions for people of all ages, and are happy to remain indoors between dusk and dawn or to be wholly indoor pets.", + "life_span": "12 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "Spotted Mist", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 3, + "health_issues": 1, + "intelligence": 4, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 4, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Australian_Mist", + "hypoallergenic": 0, + "reference_image_id": "_6x-3TiCA" + }, + { + "weight": { + "imperial": "4 - 10", + "metric": "2 - 5" + }, + "id": "bali", + "name": "Balinese", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/Balinese.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/balinese", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/balinese", + "temperament": "Affectionate, Intelligent, Playful", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Balinese are curious, outgoing, intelligent cats with excellent communication skills. They are known for their chatty personalities and are always eager to tell you their views on life, love, and what you’ve served them for dinner. ", + "life_span": "10 - 15", + "indoor": 0, + "alt_names": "Long-haired Siamese", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 3, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Balinese_(cat)", + "hypoallergenic": 1, + "reference_image_id": "13MkvUreZ" + }, + { + "weight": { + "imperial": "4 - 9", + "metric": "2 - 4" + }, + "id": "bamb", + "name": "Bambino", + "temperament": "Affectionate, Lively, Friendly, Intelligent", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Bambino is a breed of cat that was created as a cross between the Sphynx and the Munchkin breeds. The Bambino cat has short legs, large upright ears, and is usually hairless. They love to be handled and cuddled up on the laps of their family members.", + "life_span": "12 - 14", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 1, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 1, + "hairless": 1, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 1, + "wikipedia_url": "https://en.wikipedia.org/wiki/Bambino_cat", + "hypoallergenic": 0, + "reference_image_id": "5AdhMjeEu" + }, + { + "weight": { + "imperial": "6 - 12", + "metric": "3 - 7" + }, + "id": "beng", + "name": "Bengal", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/Bengal.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/bengal", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/bengal", + "temperament": "Alert, Agile, Energetic, Demanding, Intelligent", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Bengals are a lot of fun to live with, but they're definitely not the cat for everyone, or for first-time cat owners. Extremely intelligent, curious and active, they demand a lot of interaction and woe betide the owner who doesn't provide it.", + "life_span": "12 - 15", + "indoor": 0, + "lap": 0, + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "cat_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 3, + "vocalisation": 5, + "bidability": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Bengal_(cat)", + "hypoallergenic": 1, + "reference_image_id": "O3btzLlsO" + }, + { + "weight": { + "imperial": "6 - 15", + "metric": "3 - 7" + }, + "id": "birm", + "name": "Birman", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/Birman.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/birman", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/birman", + "temperament": "Affectionate, Active, Gentle, Social", + "origin": "France", + "country_codes": "FR", + "country_code": "FR", + "description": "The Birman is a docile, quiet cat who loves people and will follow them from room to room. Expect the Birman to want to be involved in what you’re doing. He communicates in a soft voice, mainly to remind you that perhaps it’s time for dinner or maybe for a nice cuddle on the sofa. He enjoys being held and will relax in your arms like a furry baby.", + "life_span": "14 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Sacred Birman, Sacred Cat Of Burma", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 2, + "health_issues": 1, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 3, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Birman", + "hypoallergenic": 0, + "reference_image_id": "HOrX5gwLS" + }, + { + "weight": { + "imperial": "6 - 11", + "metric": "3 - 5" + }, + "id": "bomb", + "name": "Bombay", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/Bombay.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/bombay", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/bombay", + "temperament": "Affectionate, Dependent, Gentle, Intelligent, Playful", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The the golden eyes and the shiny black coa of the Bopmbay is absolutely striking. Likely to bond most with one family member, the Bombay will follow you from room to room and will almost always have something to say about what you are doing, loving attention and to be carried around, often on his caregiver's shoulder.", + "life_span": "12 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "Small black Panther", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 1, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 4, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Bombay_(cat)", + "hypoallergenic": 0, + "reference_image_id": "5iYq9NmT1" + }, + { + "weight": { + "imperial": "8 - 18", + "metric": "4 - 8" + }, + "id": "bslo", + "name": "British Longhair", + "temperament": "Affectionate, Easy Going, Independent, Intelligent, Loyal, Social", + "origin": "United Kingdom", + "country_codes": "GB", + "country_code": "GB", + "description": "The British Longhair is a very laid-back relaxed cat, often perceived to be very independent although they will enjoy the company of an equally relaxed and likeminded cat. They are an affectionate breed, but very much on their own terms and tend to prefer to choose to come and sit with their owners rather than being picked up.", + "life_span": "12 - 14", + "indoor": 0, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 5, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 1, + "social_needs": 3, + "stranger_friendly": 4, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/British_Longhair", + "hypoallergenic": 0, + "reference_image_id": "7isAO4Cav" + }, + { + "weight": { + "imperial": "12 - 20", + "metric": "5 - 9" + }, + "id": "bsho", + "name": "British Shorthair", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/BritishShorthair.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/british-shorthair", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/british-shorthair", + "temperament": "Affectionate, Easy Going, Gentle, Loyal, Patient, calm", + "origin": "United Kingdom", + "country_codes": "GB", + "country_code": "GB", + "description": "The British Shorthair is a very pleasant cat to have as a companion, ans is easy going and placid. The British is a fiercely loyal, loving cat and will attach herself to every one of her family members. While loving to play, she doesn't need hourly attention. If she is in the mood to play, she will find someone and bring a toy to that person. The British also plays well by herself, and thus is a good companion for single people.", + "life_span": "12 - 17", + "indoor": 0, + "lap": 1, + "alt_names": "Highlander, Highland Straight, Britannica", + "adaptability": 5, + "affection_level": 4, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 2, + "grooming": 2, + "health_issues": 2, + "intelligence": 3, + "shedding_level": 4, + "social_needs": 3, + "stranger_friendly": 2, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/British_Shorthair", + "hypoallergenic": 0, + "reference_image_id": "s4wQfYoEk" + }, + { + "weight": { + "imperial": "6 - 12", + "metric": "3 - 5" + }, + "id": "bure", + "name": "Burmese", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/Burmese.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/burmese", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/burmese", + "temperament": "Curious, Intelligent, Gentle, Social, Interactive, Playful, Lively", + "origin": "Burma", + "country_codes": "MM", + "country_code": "MM", + "description": "Burmese love being with people, playing with them, and keeping them entertained. They crave close physical contact and abhor an empty lap. They will follow their humans from room to room, and sleep in bed with them, preferably under the covers, cuddled as close as possible. At play, they will turn around to see if their human is watching and being entertained by their crazy antics.", + "life_span": "15 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 1, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Burmese_(cat)", + "hypoallergenic": 1, + "reference_image_id": "4lXnnfxac" + }, + { + "weight": { + "imperial": "6 - 13", + "metric": "3 - 6" + }, + "id": "buri", + "name": "Burmilla", + "cfa_url": "http://cfa.org/Breeds/BreedsAB/Burmilla.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/burmilla", + "temperament": "Easy Going, Friendly, Intelligent, Lively, Playful, Social", + "origin": "United Kingdom", + "country_codes": "GB", + "country_code": "GB", + "description": "The Burmilla is a fairly placid cat. She tends to be an easy cat to get along with, requiring minimal care. The Burmilla is affectionate and sweet and makes a good companion, the Burmilla is an ideal companion to while away a lonely evening. Loyal, devoted, and affectionate, this cat will stay by its owner, always keeping them company.", + "life_span": "10 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 4, + "energy_level": 3, + "grooming": 3, + "health_issues": 3, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 3, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Burmilla", + "hypoallergenic": 0, + "reference_image_id": "jvg3XfEdC" + }, + { + "weight": { + "imperial": "10 - 15", + "metric": "5 - 7" + }, + "id": "cspa", + "name": "California Spangled", + "temperament": "Affectionate, Curious, Intelligent, Loyal, Social", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Perhaps the only thing about the California spangled cat that isn’t wild-like is its personality. Known to be affectionate, gentle and sociable, this breed enjoys spending a great deal of time with its owners. They are very playful, often choosing to perch in high locations and show off their acrobatic skills.", + "life_span": "10 - 14", + "indoor": 0, + "alt_names": "Spangle", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 1, + "social_needs": 3, + "stranger_friendly": 4, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/California_Spangled", + "hypoallergenic": 0, + "reference_image_id": "B1ERTmgph" + }, + { + "weight": { + "imperial": "7 - 12", + "metric": "3 - 5" + }, + "id": "ctif", + "name": "Chantilly-Tiffany", + "temperament": "Affectionate, Demanding, Interactive, Loyal", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Chantilly is a devoted companion and prefers company to being left alone. While the Chantilly is not demanding, she will \"chirp\" and \"talk\" as if having a conversation. This breed is affectionate, with a sweet temperament. It can stay still for extended periods, happily lounging in the lap of its loved one. This quality makes the Tiffany an ideal traveling companion, and an ideal house companion for senior citizens and the physically handicapped.", + "life_span": "14 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "Chantilly, Foreign Longhair", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 5, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 5, + "social_needs": 3, + "stranger_friendly": 4, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Chantilly-Tiffany", + "hypoallergenic": 0, + "reference_image_id": "TR-5nAd_S" + }, + { + "weight": { + "imperial": "6 - 15", + "metric": "3 - 7" + }, + "id": "char", + "name": "Chartreux", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/Chartreux.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/chartreux", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/chartreux", + "temperament": "Affectionate, Loyal, Intelligent, Social, Lively, Playful", + "origin": "France", + "country_codes": "FR", + "country_code": "FR", + "description": "The Chartreux is generally silent but communicative. Short play sessions, mixed with naps and meals are their perfect day. Whilst appreciating any attention you give them, they are not demanding, content instead to follow you around devotedly, sleep on your bed and snuggle with you if you’re not feeling well.", + "life_span": "12 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 2, + "grooming": 1, + "health_issues": 2, + "intelligence": 4, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 1, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Chartreux", + "hypoallergenic": 1, + "reference_image_id": "j6oFGLpRG" + }, + { + "weight": { + "imperial": "7 - 15", + "metric": "3 - 7" + }, + "id": "chau", + "name": "Chausie", + "temperament": "Affectionate, Intelligent, Playful, Social", + "origin": "Egypt", + "country_codes": "EG", + "country_code": "EG", + "description": "For those owners who desire a feline capable of evoking the great outdoors, the strikingly beautiful Chausie retains a bit of the wild in its appearance but has the house manners of our friendly, familiar moggies. Very playful, this cat needs a large amount of space to be able to fully embrace its hunting instincts.", + "life_span": "12 - 14", + "indoor": 0, + "alt_names": "Nile Cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 3, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 4, + "vocalisation": 1, + "experimental": 1, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Chausie", + "hypoallergenic": 0, + "reference_image_id": "vJ3lEYgXr" + }, + { + "weight": { + "imperial": "8 - 15", + "metric": "4 - 7" + }, + "id": "chee", + "name": "Cheetoh", + "temperament": "Affectionate, Gentle, Intelligent, Social", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Cheetoh has a super affectionate nature and real love for their human companions; they are intelligent with the ability to learn quickly. You can expect that a Cheetoh will be a fun-loving kitty who enjoys playing, running, and jumping through every room in your house.", + "life_span": "12 - 14", + "indoor": 0, + "alt_names": " ", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 1, + "social_needs": 3, + "stranger_friendly": 4, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Bengal_cat#Cheetoh", + "hypoallergenic": 0, + "reference_image_id": "IFXsxmXLm" + }, + { + "weight": { + "imperial": "4 - 10", + "metric": "2 - 5" + }, + "id": "csho", + "name": "Colorpoint Shorthair", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/ColorpointShorthair.aspx", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/colorpoint-shorthair", + "temperament": "Affectionate, Intelligent, Playful, Social", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Colorpoint Shorthairs are an affectionate breed, devoted and loyal to their people. Sensitive to their owner’s moods, Colorpoints are more than happy to sit at your side or on your lap and purr words of encouragement on a bad day. They will constantly seek out your lap whenever it is open and in the moments when your lap is preoccupied they will stretch out in sunny spots on the ground.", + "life_span": "12 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 3, + "affection_level": 4, + "child_friendly": 4, + "cat_friendly": 3, + "dog_friendly": 4, + "energy_level": 4, + "grooming": 2, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 2, + "vocalisation": 5, + "bidability": 4, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Colorpoint_Shorthair", + "hypoallergenic": 0, + "reference_image_id": "oSpqGyUDS" + }, + { + "weight": { + "imperial": "5 - 9", + "metric": "2 - 4" + }, + "id": "crex", + "name": "Cornish Rex", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/CornishRex.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/cornish-rex", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/cornish-rex", + "temperament": "Affectionate, Intelligent, Active, Curious, Playful", + "origin": "United Kingdom", + "country_codes": "GB", + "country_code": "GB", + "description": "This is a confident cat who loves people and will follow them around, waiting for any opportunity to sit in a lap or give a kiss. He enjoys being handled, making it easy to take him to the veterinarian or train him for therapy work. The Cornish Rex stay in kitten mode most of their lives and well into their senior years. ", + "life_span": "11 - 14", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "cat_friendly": 2, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 1, + "social_needs": 5, + "stranger_friendly": 3, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 1, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Cornish_Rex", + "hypoallergenic": 1, + "reference_image_id": "unX21IBVB" + }, + { + "weight": { + "imperial": "8 - 13", + "metric": "4 - 6" + }, + "id": "cymr", + "name": "Cymric", + "vetstreet_url": "http://www.vetstreet.com/cats/cymric", + "temperament": "Gentle, Loyal, Intelligent, Playful", + "origin": "Canada", + "country_codes": "CA", + "country_code": "CA", + "description": "The Cymric is a placid, sweet cat. They do not get too upset about anything that happens in their world. They are loving companions and adore people. They are smart and dexterous, capable of using his paws to get into cabinets or to open doors.", + "life_span": "8 - 14", + "indoor": 0, + "lap": 1, + "alt_names": "Spangle", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 3, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 5, + "social_needs": 5, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 1, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Cymric_(cat)", + "hypoallergenic": 0, + "reference_image_id": "3dbtapCWM" + }, + { + "weight": { + "imperial": "8 - 16", + "metric": "4 - 7" + }, + "id": "cypr", + "name": "Cyprus", + "temperament": "Affectionate, Social", + "origin": "Cyprus", + "country_codes": "CY", + "country_code": "CY", + "description": "Loving, loyal, social and inquisitive, the Cyprus cat forms strong ties with their families and love nothing more than to be involved in everything that goes on in their surroundings. They are not overly active by nature which makes them the perfect companion for people who would like to share their homes with a laid-back relaxed feline companion. ", + "life_span": "12 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Cypriot cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 3, + "health_issues": 1, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 4, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Cyprus_cat", + "hypoallergenic": 0, + "reference_image_id": "tJbzb7FKo" + }, + { + "weight": { + "imperial": "5 - 10", + "metric": "2 - 5" + }, + "id": "drex", + "name": "Devon Rex", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/DevonRex.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/devon-rex", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/devon-rex", + "temperament": "Highly interactive, Mischievous, Loyal, Social, Playful", + "origin": "United Kingdom", + "country_codes": "GB", + "country_code": "GB", + "description": "The favourite perch of the Devon Rex is right at head level, on the shoulder of her favorite person. She takes a lively interest in everything that is going on and refuses to be left out of any activity. Count on her to stay as close to you as possible, occasionally communicating his opinions in a quiet voice. She loves people and welcomes the attentions of friends and family alike.", + "life_span": "10 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Pixie cat, Alien cat, Poodle cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 1, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 1, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Devon_Rex", + "hypoallergenic": 1, + "reference_image_id": "4RzEwvyzz" + }, + { + "weight": { + "imperial": "10 - 12", + "metric": "5 - 6" + }, + "id": "dons", + "name": "Donskoy", + "temperament": "Playful, affectionate, loyal, social", + "origin": "Russia", + "country_codes": "RU", + "country_code": "RU", + "description": "Donskoy are affectionate, intelligent, and easy-going. They demand lots of attention and interaction. The Donskoy also gets along well with other pets. It is now thought the same gene that causes degrees of hairlessness in the Donskoy also causes alterations in cat personality, making them calmer the less hair they have.", + "life_span": "12 - 15", + "indoor": 0, + "adaptability": 4, + "affection_level": 4, + "child_friendly": 3, + "cat_friendly": 3, + "dog_friendly": 3, + "energy_level": 4, + "grooming": 2, + "health_issues": 3, + "intelligence": 3, + "shedding_level": 1, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 2, + "experimental": 0, + "hairless": 1, + "natural": 0, + "rare": 1, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Donskoy_(cat)", + "hypoallergenic": 0, + "reference_image_id": "3KG57GfMW" + }, + { + "weight": { + "imperial": "9 - 12", + "metric": "4 - 6" + }, + "id": "lihu", + "name": "Dragon Li", + "vetstreet_url": "http://www.vetstreet.com/cats/li-hua", + "temperament": "Intelligent, Friendly, Gentle, Loving, Loyal", + "origin": "China", + "country_codes": "CN", + "country_code": "CN", + "description": "The Dragon Li is loyal, but not particularly affectionate. They are known to be very intelligent, and their natural breed status means that they're very active. She is is gentle with people, and has a reputation as a talented hunter of rats and other vermin.", + "life_span": "12 - 15", + "indoor": 1, + "alt_names": "Chinese Lia Hua, Lí hua māo (貍花貓), Li Hua", + "adaptability": 3, + "affection_level": 3, + "child_friendly": 3, + "cat_friendly": 3, + "dog_friendly": 3, + "energy_level": 3, + "grooming": 1, + "health_issues": 1, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Dragon_Li", + "hypoallergenic": 0, + "reference_image_id": "BQMSld0A0" + }, + { + "weight": { + "imperial": "6 - 14", + "metric": "3 - 6" + }, + "id": "emau", + "name": "Egyptian Mau", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/EgyptianMau.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/egyptian-mau", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/egyptian-mau", + "temperament": "Agile, Dependent, Gentle, Intelligent, Lively, Loyal, Playful", + "origin": "Egypt", + "country_codes": "EG", + "country_code": "EG", + "description": "The Egyptian Mau is gentle and reserved. She loves her people and desires attention and affection from them but is wary of others. Early, continuing socialization is essential with this sensitive and sometimes shy cat, especially if you plan to show or travel with her. Otherwise, she can be easily startled by unexpected noises or events.", + "life_span": "18 - 20", + "indoor": 0, + "lap": 1, + "alt_names": "Pharaoh Cat", + "adaptability": 2, + "affection_level": 5, + "child_friendly": 3, + "dog_friendly": 3, + "energy_level": 5, + "grooming": 1, + "health_issues": 3, + "intelligence": 4, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 2, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Egyptian_Mau", + "hypoallergenic": 0, + "reference_image_id": "TuSyTkt2n" + }, + { + "weight": { + "imperial": "7 - 14", + "metric": "3 - 6" + }, + "id": "ebur", + "name": "European Burmese", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/EuropeanBurmese.aspx", + "temperament": "Sweet, Affectionate, Loyal", + "origin": "Burma", + "country_codes": "MM", + "country_code": "MM", + "description": "The European Burmese is a very affectionate, intelligent, and loyal cat. They thrive on companionship and will want to be with you, participating in everything you do. While they might pick a favorite family member, chances are that they will interact with everyone in the home, as well as any visitors that come to call. They are inquisitive and playful, even as adults. ", + "life_span": "10 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "cat_friendly": 4, + "dog_friendly": 4, + "energy_level": 4, + "grooming": 1, + "health_issues": 4, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 4, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "hypoallergenic": 0 + }, + { + "weight": { + "imperial": "7 - 14", + "metric": "3 - 6" + }, + "id": "esho", + "name": "Exotic Shorthair", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/Exotic.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/exotic-shorthair", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/exotic-shorthair", + "temperament": "Affectionate, Sweet, Loyal, Quiet, Peaceful", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Exotic Shorthair is a gentle friendly cat that has the same personality as the Persian. They love having fun, don’t mind the company of other cats and dogs, also love to curl up for a sleep in a safe place. Exotics love their own people, but around strangers they are cautious at first. Given time, they usually warm up to visitors.", + "life_span": "12 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Exotic", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 3, + "dog_friendly": 3, + "energy_level": 3, + "grooming": 2, + "health_issues": 3, + "intelligence": 3, + "shedding_level": 2, + "social_needs": 4, + "stranger_friendly": 2, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Exotic_Shorthair", + "hypoallergenic": 0, + "reference_image_id": "YnPrYEmfe" + }, + { + "weight": { + "imperial": "6 - 10", + "metric": "3 - 5" + }, + "id": "hbro", + "name": "Havana Brown", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/HavanaBrown.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/havana-brown", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/havana-brown", + "temperament": "Affectionate, Curious, Demanding, Friendly, Intelligent, Playful", + "origin": "United Kingdom", + "country_codes": "GB", + "country_code": "GB", + "description": "The Havana Brown is human oriented, playful, and curious. She has a strong desire to spend time with her people and involve herself in everything they do. Being naturally inquisitive, the Havana Brown reaches out with a paw to touch and feel when investigating curiosities in its environment. They are truly sensitive by nature and frequently gently touch their human companions as if they are extending a paw of friendship.", + "life_span": "10 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Havana, HB", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 3, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Havana_Brown", + "hypoallergenic": 0, + "reference_image_id": "njK25knLH" + }, + { + "weight": { + "imperial": "7 - 14", + "metric": "3 - 6" + }, + "id": "hima", + "name": "Himalayan", + "vetstreet_url": "http://www.vetstreet.com/cats/himalayan", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/himalayan", + "temperament": "Dependent, Gentle, Intelligent, Quiet, Social", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Calm and devoted, Himalayans make excellent companions, though they prefer a quieter home. They are playful in a sedate kind of way and enjoy having an assortment of toys. The Himalayan will stretch out next to you, sleep in your bed and even sit on your lap when she is in the mood.", + "life_span": "9 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Himalayan Persian, Colourpoint Persian, Longhaired Colourpoint, Himmy", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 2, + "dog_friendly": 2, + "energy_level": 1, + "grooming": 5, + "health_issues": 3, + "intelligence": 3, + "shedding_level": 4, + "social_needs": 4, + "stranger_friendly": 2, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Himalayan_(cat)", + "hypoallergenic": 0, + "reference_image_id": "CDhOtM-Ig" + }, + { + "weight": { + "imperial": "5 - 10", + "metric": "2 - 5" + }, + "id": "jbob", + "name": "Japanese Bobtail", + "cfa_url": "http://cfa.org/Breeds/BreedsCJ/JapaneseBobtail.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/japanese-bobtail", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/japanese-bobtail", + "temperament": "Active, Agile, Clever, Easy Going, Intelligent, Lively, Loyal, Playful, Social", + "origin": "Japan", + "country_codes": "JP", + "country_code": "JP", + "description": "The Japanese Bobtail is an active, sweet, loving and highly intelligent breed. They love to be with people and play seemingly endlessly. They learn their name and respond to it. They bring toys to people and play fetch with a favorite toy for hours. Bobtails are social and are at their best when in the company of people. They take over the house and are not intimidated. If a dog is in the house, Bobtails assume Bobtails are in charge.", + "life_span": "14 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "Japanese Truncated Cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 1, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Japanese_Bobtail", + "hypoallergenic": 0, + "reference_image_id": "-tm9-znzl" + }, + { + "weight": { + "imperial": "5 - 10", + "metric": "2 - 5" + }, + "id": "java", + "name": "Javanese", + "vetstreet_url": "http://www.vetstreet.com/cats/javanese", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/javanese", + "temperament": "Active, Devoted, Intelligent, Playful", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Javanese are endlessly interested, intelligent and active. They tend to enjoy jumping to great heights, playing with fishing pole-type or other interactive toys and just generally investigating their surroundings. He will attempt to copy things you do, such as opening doors or drawers.", + "life_span": "10 - 12", + "indoor": 0, + "alt_names": " ", + "adaptability": 4, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 4, + "energy_level": 5, + "grooming": 1, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 2, + "social_needs": 5, + "stranger_friendly": 3, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Javanese_cat", + "hypoallergenic": 1, + "reference_image_id": "xoI_EpOKe" + }, + { + "weight": { + "imperial": "8 - 12", + "metric": "4 - 6" + }, + "id": "khao", + "name": "Khao Manee", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/KhaoManee.aspx", + "temperament": "Calm, Relaxed, Talkative, Playful, Warm", + "origin": "Thailand", + "country_codes": "TH", + "country_code": "TH", + "description": "The Khao Manee is highly intelligent, with an extrovert and inquisitive nature, however they are also very calm and relaxed, making them an idea lap cat.", + "life_span": "10 - 12", + "indoor": 0, + "lap": 1, + "alt_names": "Diamond Eye cat", + "adaptability": 4, + "affection_level": 4, + "child_friendly": 3, + "cat_friendly": 3, + "dog_friendly": 3, + "energy_level": 3, + "grooming": 3, + "health_issues": 1, + "intelligence": 4, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Khao_Manee", + "hypoallergenic": 0, + "reference_image_id": "165ok6ESN" + }, + { + "weight": { + "imperial": "7 - 11", + "metric": "3 - 5" + }, + "id": "kora", + "name": "Korat", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/Korat.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/korat", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/korat", + "temperament": "Active, Loyal, highly intelligent, Expressive, Trainable", + "origin": "Thailand", + "country_codes": "TH", + "country_code": "TH", + "description": "The Korat is a natural breed, and one of the oldest stable cat breeds. They are highly intelligent and confident cats that can be fearless, although they are startled by loud sounds and sudden movements. Korats form strong bonds with their people and like to cuddle and stay nearby.", + "life_span": "10 - 15", + "indoor": 0, + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 2, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 1, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Korat", + "hypoallergenic": 0, + "reference_image_id": "DbwiefiaY" + }, + { + "weight": { + "imperial": "8 - 15", + "metric": "4 - 7" + }, + "id": "kuri", + "name": "Kurilian", + "vetstreet_url": "http://www.vetstreet.com/cats/kurilian-bobtail", + "temperament": "Independent, highly intelligent, clever, inquisitive, sociable, playful, trainable", + "origin": "Russia", + "country_codes": "RU", + "country_code": "RU", + "description": "The character of the Kurilian Bobtail is independent, highly intelligent, clever, inquisitive, sociable, playful, trainable, absent of aggression and very gentle. They are devoted to their humans and when allowed are either on the lap of or sleeping in bed with their owners.", + "life_span": "15 - 20", + "indoor": 0, + "adaptability": 5, + "affection_level": 5, + "child_friendly": 5, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 2, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 1, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Kurilian_Bobtail", + "hypoallergenic": 0, + "reference_image_id": "NZpO4pU56M" + }, + { + "weight": { + "imperial": "6 - 10", + "metric": "3 - 5" + }, + "id": "lape", + "name": "LaPerm", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/LaPerm.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/laperm", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/laperm", + "temperament": "Affectionate, Friendly, Gentle, Intelligent, Playful, Quiet", + "origin": "Thailand", + "country_codes": "TH", + "country_code": "TH", + "description": "LaPerms are gentle and affectionate but also very active. Unlike many active breeds, the LaPerm is also quite content to be a lap cat. The LaPerm will often follow your lead; that is, if they are busy playing and you decide to sit and relax, simply pick up your LaPerm and sit down with it, and it will stay in your lap, devouring the attention you give it.", + "life_span": "10 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Si-Sawat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 4, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 1, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/LaPerm", + "hypoallergenic": 1, + "reference_image_id": "aKbsEYjSl" + }, + { + "weight": { + "imperial": "12 - 18", + "metric": "5 - 8" + }, + "id": "mcoo", + "name": "Maine Coon", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/MaineCoon.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/maine-coon", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/maine-coon", + "temperament": "Adaptable, Intelligent, Loving, Gentle, Independent", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "They are known for their size and luxurious long coat Maine Coons are considered a gentle giant. The good-natured and affable Maine Coon adapts well to many lifestyles and personalities. She likes being with people and has the habit of following them around, but isn’t needy. Most Maine Coons love water and they can be quite good swimmers.", + "life_span": "12 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Coon Cat, Maine Cat, Maine Shag, Snowshoe Cat, American Longhair, The Gentle Giants", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 3, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Maine_Coon", + "hypoallergenic": 0, + "reference_image_id": "OOD3VXAQn" + }, + { + "weight": { + "imperial": "6 - 13", + "metric": "3 - 6" + }, + "id": "mala", + "name": "Malayan", + "temperament": "Affectionate, Interactive, Playful, Social", + "origin": "United Kingdom", + "country_codes": "GB", + "country_code": "GB", + "description": "Malayans love to explore and even enjoy traveling by way of a cat carrier. They are quite a talkative and rather loud cat with an apparent strong will. These cats will make sure that you give it the attention it seeks and always seem to want to be held and hugged. They will constantly interact with people, even strangers. They love to play and cuddle.", + "life_span": "12 - 18", + "indoor": 0, + "alt_names": "Asian", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 3, + "shedding_level": 1, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Asian_cat", + "hypoallergenic": 0 + }, + { + "weight": { + "imperial": "7 - 13", + "metric": "3 - 6" + }, + "id": "manx", + "name": "Manx", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/Manx.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/manx", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/manx", + "temperament": "Easy Going, Intelligent, Loyal, Playful, Social", + "origin": "Isle of Man", + "country_codes": "IM", + "country_code": "IM", + "description": "The Manx is a placid, sweet cat that is gentle and playful. She never seems to get too upset about anything. She is a loving companion and adores being with people.", + "life_span": "12 - 14", + "indoor": 0, + "lap": 1, + "alt_names": "Manks, Stubbin, Rumpy", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 5, + "social_needs": 5, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 1, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Manx_(cat)", + "hypoallergenic": 0, + "reference_image_id": "fhYh2PDcC" + }, + { + "weight": { + "imperial": "5 - 9", + "metric": "2 - 4" + }, + "id": "munc", + "name": "Munchkin", + "vetstreet_url": "http://www.vetstreet.com/cats/munchkin", + "temperament": "Agile, Easy Going, Intelligent, Playful", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Munchkin is an outgoing cat who enjoys being handled. She has lots of energy and is faster and more agile than she looks. The shortness of their legs does not seem to interfere with their running and leaping abilities.", + "life_span": "10 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 2, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 1, + "wikipedia_url": "https://en.wikipedia.org/wiki/Munchkin_(cat)", + "hypoallergenic": 0, + "reference_image_id": "j5cVSqLer" + }, + { + "weight": { + "imperial": "7 - 11", + "metric": "3 - 5" + }, + "id": "nebe", + "name": "Nebelung", + "temperament": "Gentle, Quiet, Shy, Playful", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Nebelung may have a reserved nature, but she loves to play (being especially fond of retrieving) and enjoys jumping or climbing to high places where she can study people and situations at her leisure before making up her mind about whether she wants to get involved.", + "life_span": "11 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "Longhaired Russian Blue", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 4, + "energy_level": 3, + "grooming": 3, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 1, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Nebelung", + "hypoallergenic": 0, + "reference_image_id": "OGTWqNNOt" + }, + { + "weight": { + "imperial": "8 - 16", + "metric": "4 - 7" + }, + "id": "norw", + "name": "Norwegian Forest Cat", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/NorwegianForestCat.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/norwegian-forest-cat", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/norwegian-forest-cat", + "temperament": "Sweet, Active, Intelligent, Social, Playful, Lively, Curious", + "origin": "Norway", + "country_codes": "NO", + "country_code": "NO", + "description": "The Norwegian Forest Cat is a sweet, loving cat. She appreciates praise and loves to interact with her parent. She makes a loving companion and bonds with her parents once she accepts them for her own. She is still a hunter at heart. She loves to chase toys as if they are real. She is territorial and patrols several times each day to make certain that all is fine.", + "life_span": "12 - 16", + "indoor": 0, + "alt_names": "Skogkatt / Skaukatt, Norsk Skogkatt / Norsk Skaukatt, Weegie", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 2, + "health_issues": 3, + "intelligence": 4, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Norwegian_Forest_Cat", + "hypoallergenic": 0, + "reference_image_id": "06dgGmEOV" + }, + { + "weight": { + "imperial": "7 - 15", + "metric": "3 - 7" + }, + "id": "ocic", + "name": "Ocicat", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/Ocicat.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/ocicat", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/ocicat", + "temperament": "Active, Agile, Curious, Demanding, Friendly, Gentle, Lively, Playful, Social", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Loyal and devoted to their owners, the Ocicat is intelligent, confident, outgoing, and seems to have many dog traits. They can be trained to fetch toys, walk on a lead, taught to 'speak', come when called, and follow other commands. ", + "life_span": "12 - 14", + "indoor": 0, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Ocicat", + "hypoallergenic": 1, + "reference_image_id": "JAx-08Y0n" + }, + { + "weight": { + "imperial": "5 - 10", + "metric": "2 - 5" + }, + "id": "orie", + "name": "Oriental", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/Oriental.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/oriental", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/oriental", + "temperament": "Energetic, Affectionate, Intelligent, Social, Playful, Curious", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Orientals are passionate about the people in their lives. They become extremely attached to their humans, so be prepared for a lifetime commitment. When you are not available to entertain her, an Oriental will divert herself by jumping on top of the refrigerator, opening drawers, seeking out new hideaways.", + "life_span": "12 - 14", + "indoor": 0, + "lap": 1, + "alt_names": "Foreign Type", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 3, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Oriental_Shorthair", + "hypoallergenic": 1, + "reference_image_id": "LutjkZJpH" + }, + { + "weight": { + "imperial": "9 - 14", + "metric": "4 - 6" + }, + "id": "pers", + "name": "Persian", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/Persian.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/persian", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/persian", + "temperament": "Affectionate, loyal, Sedate, Quiet", + "origin": "Iran (Persia)", + "country_codes": "IR", + "country_code": "IR", + "description": "Persians are sweet, gentle cats that can be playful or quiet and laid-back. Great with families and children, they absolutely love to lounge around the house. While they don’t mind a full house or active kids, they’ll usually hide when they need some alone time.", + "life_span": "14 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Longhair, Persian Longhair, Shiraz, Shirazi", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 2, + "dog_friendly": 2, + "energy_level": 1, + "grooming": 5, + "health_issues": 3, + "intelligence": 3, + "shedding_level": 4, + "social_needs": 4, + "stranger_friendly": 2, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Persian_(cat)", + "hypoallergenic": 0, + "reference_image_id": "-Zfz5z2jK" + }, + { + "weight": { + "imperial": "8 - 17", + "metric": "4 - 8" + }, + "id": "pixi", + "name": "Pixie-bob", + "vetstreet_url": "http://www.vetstreet.com/cats/pixiebob", + "temperament": "Affectionate, Social, Intelligent, Loyal", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Companionable and affectionate, the Pixie-bob wants to be an integral part of the family. The Pixie-Bob’s ability to bond with their humans along with their patient personas make them excellent companions for children.", + "life_span": "13 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 1, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 4, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 1, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Pixiebob", + "hypoallergenic": 0, + "reference_image_id": "z7fJRNeN6" + }, + { + "weight": { + "imperial": "8 - 20", + "metric": "4 - 9" + }, + "id": "raga", + "name": "Ragamuffin", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/Ragamuffin.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/ragamuffin", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/ragamuffin", + "temperament": "Affectionate, Friendly, Gentle, Calm", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Ragamuffin is calm, even tempered and gets along well with all family members. Changes in routine generally do not upset her. She is an ideal companion for those in apartments, and with children due to her patient nature.", + "life_span": "12 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 3, + "health_issues": 3, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Ragamuffin_cat", + "hypoallergenic": 0, + "reference_image_id": "SMuZx-bFM" + }, + { + "weight": { + "imperial": "12 - 20", + "metric": "5 - 9" + }, + "id": "ragd", + "name": "Ragdoll", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/Ragdoll.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/ragdoll", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/ragdoll", + "temperament": "Affectionate, Friendly, Gentle, Quiet, Easygoing", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Ragdolls love their people, greeting them at the door, following them around the house, and leaping into a lap or snuggling in bed whenever given the chance. They are the epitome of a lap cat, enjoy being carried and collapsing into the arms of anyone who holds them.", + "life_span": "12 - 17", + "indoor": 0, + "lap": 1, + "alt_names": "Rag doll", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 2, + "health_issues": 3, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 3, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Ragdoll", + "hypoallergenic": 0, + "reference_image_id": "oGefY4YoG" + }, + { + "weight": { + "imperial": "5 - 11", + "metric": "2 - 5" + }, + "id": "rblu", + "name": "Russian Blue", + "cfa_url": "http://cfa.org/Breeds/BreedsKthruR/RussianBlue.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/russian-blue-nebelung", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/russian-blue", + "temperament": "Active, Dependent, Easy Going, Gentle, Intelligent, Loyal, Playful, Quiet", + "origin": "Russia", + "country_codes": "RU", + "country_code": "RU", + "description": "Russian Blues are very loving and reserved. They do not like noisy households but they do like to play and can be quite active when outdoors. They bond very closely with their owner and are known to be compatible with other pets.", + "life_span": "10 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "Archangel Blue, Archangel Cat", + "adaptability": 3, + "affection_level": 3, + "child_friendly": 3, + "dog_friendly": 3, + "energy_level": 3, + "grooming": 3, + "health_issues": 1, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 1, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Russian_Blue", + "hypoallergenic": 1, + "reference_image_id": "Rhj-JsTLP" + }, + { + "weight": { + "imperial": "8 - 25", + "metric": "4 - 11" + }, + "id": "sava", + "name": "Savannah", + "vetstreet_url": "http://www.vetstreet.com/cats/savannah", + "temperament": "Curious, Social, Intelligent, Loyal, Outgoing, Adventurous, Affectionate", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "Savannah is the feline version of a dog. Actively seeking social interaction, they are given to pouting if left out. Remaining kitten-like through life. Profoundly loyal to immediate family members whilst questioning the presence of strangers. Making excellent companions that are loyal, intelligent and eager to be involved.", + "life_span": "17 - 20", + "indoor": 0, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 1, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Savannah_cat", + "hypoallergenic": 0, + "reference_image_id": "a8nIYvs6S" + }, + { + "weight": { + "imperial": "5 - 11", + "metric": "2 - 5" + }, + "id": "sfol", + "name": "Scottish Fold", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/ScottishFold.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/scottish-fold-highland-fold", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/scottish-fold", + "temperament": "Affectionate, Intelligent, Loyal, Playful, Social, Sweet, Loving", + "origin": "United Kingdom", + "country_codes": "GB", + "country_code": "GB", + "description": "The Scottish Fold is a sweet, charming breed. She is an easy cat to live with and to care for. She is affectionate and is comfortable with all members of her family. Her tail should be handled gently. Folds are known for sleeping on their backs, and for sitting with their legs stretched out and their paws on their belly. This is called the \"Buddha Position\".", + "life_span": "11 - 14", + "indoor": 0, + "alt_names": "Scot Fold", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 1, + "health_issues": 4, + "intelligence": 3, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Scottish_Fold", + "hypoallergenic": 0, + "reference_image_id": "o9t0LDcsa" + }, + { + "weight": { + "imperial": "6 - 16", + "metric": "3 - 7" + }, + "id": "srex", + "name": "Selkirk Rex", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/SelkirkRex.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/selkirk-rex", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/selkirk-rex", + "temperament": "Active, Affectionate, Dependent, Gentle, Patient, Playful, Quiet, Social", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Selkirk Rex is an incredibly patient, loving, and tolerant breed. The Selkirk also has a silly side and is sometimes described as clownish. She loves being a lap cat and will be happy to chat with you in a quiet voice if you talk to her. ", + "life_span": "14 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Shepherd Cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 2, + "health_issues": 4, + "intelligence": 3, + "shedding_level": 1, + "social_needs": 3, + "stranger_friendly": 3, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 1, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Selkirk_Rex", + "hypoallergenic": 1, + "reference_image_id": "II9dOZmrw" + }, + { + "weight": { + "imperial": "8 - 15", + "metric": "4 - 7" + }, + "id": "siam", + "name": "Siamese", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/Siamese.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/siamese", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/siamese", + "temperament": "Active, Agile, Clever, Sociable, Loving, Energetic", + "origin": "Thailand", + "country_codes": "TH", + "country_code": "TH", + "description": "While Siamese cats are extremely fond of their people, they will follow you around and supervise your every move, being talkative and opinionated. They are a demanding and social cat, that do not like being left alone for long periods.", + "life_span": "12 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Siam, Thai Cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 2, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Siamese_(cat)", + "hypoallergenic": 1, + "reference_image_id": "ai6Jps4sx" + }, + { + "weight": { + "imperial": "8 - 16", + "metric": "4 - 7" + }, + "id": "sibe", + "name": "Siberian", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/Siberian.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/siberian", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/siberian", + "temperament": "Curious, Intelligent, Loyal, Sweet, Agile, Playful, Affectionate", + "origin": "Russia", + "country_codes": "RU", + "country_code": "RU", + "description": "The Siberians dog like temperament and affection makes the ideal lap cat and will live quite happily indoors. Very agile and powerful, the Siberian cat can easily leap and reach high places, including the tops of refrigerators and even doors. ", + "life_span": "12 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Moscow Semi-longhair, HairSiberian Forest Cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 2, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 3, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Siberian_(cat)", + "hypoallergenic": 1, + "reference_image_id": "3bkZAjRh1" + }, + { + "weight": { + "imperial": "5 - 8", + "metric": "2 - 4" + }, + "id": "sing", + "name": "Singapura", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/Singapura.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/singapura", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/singapura", + "temperament": "Affectionate, Curious, Easy Going, Intelligent, Interactive, Lively, Loyal", + "origin": "Singapore", + "country_codes": "SP", + "country_code": "SP", + "description": "The Singapura is usually cautious when it comes to meeting new people, but loves attention from his family so much that she sometimes has the reputation of being a pest. This is a highly active, curious and affectionate cat. She may be small, but she knows she’s in charge", + "life_span": "12 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "Drain Cat, Kucinta, Pura", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Singapura_(cat)", + "hypoallergenic": 0, + "reference_image_id": "Qtncp2nRe" + }, + { + "weight": { + "imperial": "7 - 12", + "metric": "3 - 5" + }, + "id": "snow", + "name": "Snowshoe", + "temperament": "Affectionate, Social, Intelligent, Sweet-tempered", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Snowshoe is a vibrant, energetic, affectionate and intelligent cat. They love being around people which makes them ideal for families, and becomes unhappy when left alone for long periods of time. Usually attaching themselves to one person, they do whatever they can to get your attention.", + "life_span": "14 - 19", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 4, + "grooming": 3, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 4, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Snowshoe_(cat)", + "hypoallergenic": 0, + "reference_image_id": "MK-sYESvO" + }, + { + "weight": { + "imperial": "6 - 12", + "metric": "3 - 5" + }, + "id": "soma", + "name": "Somali", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/Somali.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/somali", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/somali", + "temperament": "Mischievous, Tenacious, Intelligent, Affectionate, Gentle, Interactive, Loyal", + "origin": "Somalia", + "country_codes": "SO", + "country_code": "SO", + "description": "The Somali lives life to the fullest. He climbs higher, jumps farther, plays harder. Nothing escapes the notice of this highly intelligent and inquisitive cat. Somalis love the company of humans and other animals.", + "life_span": "12 - 16", + "indoor": 0, + "alt_names": "Fox Cat, Long-Haired Abyssinian", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 3, + "dog_friendly": 4, + "energy_level": 5, + "grooming": 3, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 4, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 1, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Somali_(cat)", + "hypoallergenic": 0, + "reference_image_id": "EPF2ejNS0" + }, + { + "weight": { + "imperial": "6 - 12", + "metric": "3 - 5" + }, + "id": "sphy", + "name": "Sphynx", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/Sphynx.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/sphynx", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/sphynx", + "temperament": "Loyal, Inquisitive, Friendly, Quiet, Gentle", + "origin": "Canada", + "country_codes": "CA", + "country_code": "CA", + "description": "The Sphynx is an intelligent, inquisitive, extremely friendly people-oriented breed. Sphynx commonly greet their owners at the front door, with obvious excitement and happiness. She has an unexpected sense of humor that is often at odds with her dour expression.", + "life_span": "12 - 14", + "indoor": 0, + "lap": 1, + "alt_names": "Canadian Hairless, Canadian Sphynx", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 3, + "grooming": 2, + "health_issues": 4, + "intelligence": 5, + "shedding_level": 1, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 5, + "experimental": 0, + "hairless": 1, + "natural": 0, + "rare": 1, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Sphynx_(cat)", + "hypoallergenic": 1, + "reference_image_id": "BDb8ZXb1v" + }, + { + "weight": { + "imperial": "6 - 12", + "metric": "3 - 5" + }, + "id": "tonk", + "name": "Tonkinese", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/Tonkinese.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/tonkinese", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/tonkinese", + "temperament": "Curious, Intelligent, Social, Lively, Outgoing, Playful, Affectionate", + "origin": "Canada", + "country_codes": "CA", + "country_code": "CA", + "description": "Intelligent and generous with their affection, a Tonkinese will supervise all activities with curiosity. Loving, social, active, playful, yet content to be a lap cat", + "life_span": "14 - 16", + "indoor": 0, + "lap": 1, + "alt_names": "Tonk", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Tonkinese_(cat)", + "hypoallergenic": 0, + "reference_image_id": "KBroiVNCM" + }, + { + "weight": { + "imperial": "7 - 15", + "metric": "3 - 7" + }, + "id": "toyg", + "name": "Toyger", + "vetstreet_url": "http://www.vetstreet.com/cats/toyger", + "temperament": "Playful, Social, Intelligent", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "The Toyger has a sweet, calm personality and is generally friendly. He's outgoing enough to walk on a leash, energetic enough to play fetch and other interactive games, and confident enough to get along with other cats and friendly dogs.", + "life_span": "12 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 1, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 3, + "stranger_friendly": 5, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Toyger", + "hypoallergenic": 0, + "reference_image_id": "O3F3_S1XN" + }, + { + "weight": { + "imperial": "5 - 10", + "metric": "2 - 5" + }, + "id": "tang", + "name": "Turkish Angora", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/TurkishAngora.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/turkish-angora", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/turkish-angora", + "temperament": "Affectionate, Agile, Clever, Gentle, Intelligent, Playful, Social", + "origin": "Turkey", + "country_codes": "TR", + "country_code": "TR", + "description": "This is a smart and intelligent cat which bonds well with humans. With its affectionate and playful personality the Angora is a top choice for families. The Angora gets along great with other pets in the home, but it will make clear who is in charge, and who the house belongs to", + "life_span": "15 - 18", + "indoor": 0, + "alt_names": "Ankara", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 2, + "health_issues": 2, + "intelligence": 5, + "shedding_level": 2, + "social_needs": 5, + "stranger_friendly": 5, + "vocalisation": 3, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Turkish_Angora", + "hypoallergenic": 0, + "reference_image_id": "7CGV6WVXq" + }, + { + "weight": { + "imperial": "7 - 20", + "metric": "3 - 9" + }, + "id": "tvan", + "name": "Turkish Van", + "cfa_url": "http://cfa.org/Breeds/BreedsSthruT/TurkishVan.aspx", + "vetstreet_url": "http://www.vetstreet.com/cats/turkish-van", + "vcahospitals_url": "https://vcahospitals.com/know-your-pet/cat-breeds/turkish-van", + "temperament": "Agile, Intelligent, Loyal, Playful, Energetic", + "origin": "Turkey", + "country_codes": "TR", + "country_code": "TR", + "description": "While the Turkish Van loves to jump and climb, play with toys, retrieve and play chase, she is is big and ungainly; this is one cat who doesn’t always land on his feet. While not much of a lap cat, the Van will be happy to cuddle next to you and sleep in your bed. ", + "life_span": "12 - 17", + "indoor": 0, + "alt_names": "Turkish Cat, Swimming cat", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 2, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 4, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 1, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/Turkish_Van", + "hypoallergenic": 0, + "reference_image_id": "sxIXJax6h" + }, + { + "weight": { + "imperial": "12 - 18", + "metric": "5 - 8" + }, + "id": "ycho", + "name": "York Chocolate", + "temperament": "Playful, Social, Intelligent, Curious, Friendly", + "origin": "United States", + "country_codes": "US", + "country_code": "US", + "description": "York Chocolate cats are known to be true lap cats with a sweet temperament. They love to be cuddled and petted. Their curious nature makes them follow you all the time and participate in almost everything you do, even if it's related to water: unlike many other cats, York Chocolates love it.", + "life_span": "13 - 15", + "indoor": 0, + "lap": 1, + "alt_names": "York", + "adaptability": 5, + "affection_level": 5, + "child_friendly": 4, + "dog_friendly": 5, + "energy_level": 5, + "grooming": 3, + "health_issues": 1, + "intelligence": 5, + "shedding_level": 3, + "social_needs": 4, + "stranger_friendly": 4, + "vocalisation": 5, + "experimental": 0, + "hairless": 0, + "natural": 0, + "rare": 0, + "rex": 0, + "suppressed_tail": 0, + "short_legs": 0, + "wikipedia_url": "https://en.wikipedia.org/wiki/York_Chocolate", + "hypoallergenic": 0, + "reference_image_id": "0SxW2SQ_S" + } +] \ No newline at end of file diff --git a/data/countries.py b/data/countries.py index f3027a38c..31662ad5b 100644 --- a/data/countries.py +++ b/data/countries.py @@ -27,20 +27,20 @@ 'Bulgaria', 'Burkina Faso', 'Burundi', + 'Cabo Verde', 'Cambodia', 'Cameroon', 'Canada', - 'Cape Verde', 'Central African Republic', 'Chad', 'Chile', 'China', - 'Colombi', + 'Colombia', 'Comoros', - 'Congo (Brazzaville)', - 'Congo', + 'Congo, Democratic Republic of the', + 'Congo, Republic of the', 'Costa Rica', - "Cote d'Ivoire", + "Côte d'Ivoire", 'Croatia', 'Cuba', 'Cyprus', @@ -49,19 +49,20 @@ 'Djibouti', 'Dominica', 'Dominican Republic', - 'East Timor (Timor Timur)', + 'East Timor (Timor-Leste)', 'Ecuador', 'Egypt', 'El Salvador', 'Equatorial Guinea', 'Eritrea', 'Estonia', + 'Eswatini', 'Ethiopia', 'Fiji', 'Finland', 'France', 'Gabon', - 'Gambia, The', + 'Gambia', 'Georgia', 'Germany', 'Ghana', @@ -101,7 +102,6 @@ 'Liechtenstein', 'Lithuania', 'Luxembourg', - 'Macedonia', 'Madagascar', 'Malawi', 'Malaysia', @@ -116,6 +116,7 @@ 'Moldova', 'Monaco', 'Mongolia', + 'Montenegro', 'Morocco', 'Mozambique', 'Myanmar', @@ -127,10 +128,12 @@ 'Nicaragua', 'Niger', 'Nigeria', + 'North Macedonia', 'Norway', 'Oman', 'Pakistan', 'Palau', + 'Palestine', 'Panama', 'Papua New Guinea', 'Paraguay', @@ -144,13 +147,13 @@ 'Rwanda', 'Saint Kitts and Nevis', 'Saint Lucia', - 'Saint Vincent', + 'Saint Vincent and the Grenadines', 'Samoa', 'San Marino', 'Sao Tome and Principe', 'Saudi Arabia', 'Senegal', - 'Serbia and Montenegro', + 'Serbia', 'Seychelles', 'Sierra Leone', 'Singapore', @@ -159,15 +162,14 @@ 'Solomon Islands', 'Somalia', 'South Africa', + 'South Sudan', 'Spain', 'Sri Lanka', 'Sudan', 'Suriname', - 'Swaziland', 'Sweden', 'Switzerland', 'Syria', - 'Taiwan', 'Tajikistan', 'Tanzania', 'Thailand', @@ -191,5 +193,5 @@ 'Vietnam', 'Yemen', 'Zambia', - 'Zimbabwe', -]; \ No newline at end of file + 'Zimbabwe' +]; diff --git a/data/countries_data_long.json b/data/countries_data_long.json new file mode 100644 index 000000000..17d8b15c0 --- /dev/null +++ b/data/countries_data_long.json @@ -0,0 +1,20502 @@ +[ + { + "name": "Afghanistan", + "topLevelDomain": [ + ".af" + ], + "alpha2Code": "AF", + "alpha3Code": "AFG", + "callingCodes": [ + "93" + ], + "capital": "Kabul", + "altSpellings": [ + "AF", + "Afġānistān" + ], + "subregion": "Southern Asia", + "region": "Asia", + "population": 40218234, + "latlng": [ + 33.0, + 65.0 + ], + "demonym": "Afghan", + "area": 652230.0, + "timezones": [ + "UTC+04:30" + ], + "borders": [ + "IRN", + "PAK", + "TKM", + "UZB", + "TJK", + "CHN" + ], + "nativeName": "افغانستان", + "numericCode": "004", + "flags": { + "svg": "https://upload.wikimedia.org/wikipedia/commons/5/5c/Flag_of_the_Taliban.svg", + "png": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5c/Flag_of_the_Taliban.svg/320px-Flag_of_the_Taliban.svg.png" + }, + "currencies": [ + { + "code": "AFN", + "name": "Afghan afghani", + "symbol": "؋" + } + ], + "languages": [ + { + "iso639_1": "ps", + "iso639_2": "pus", + "name": "Pashto", + "nativeName": "پښتو" + }, + { + "iso639_1": "uz", + "iso639_2": "uzb", + "name": "Uzbek", + "nativeName": "Oʻzbek" + }, + { + "iso639_1": "tk", + "iso639_2": "tuk", + "name": "Turkmen", + "nativeName": "Türkmen" + } + ], + "translations": { + "br": "Afghanistan", + "pt": "Afeganistão", + "nl": "Afghanistan", + "hr": "Afganistan", + "fa": "افغانستان", + "de": "Afghanistan", + "es": "Afganistán", + "fr": "Afghanistan", + "ja": "アフガニスタン", + "it": "Afghanistan", + "hu": "Afganisztán" + }, + "flag": "https://upload.wikimedia.org/wikipedia/commons/5/5c/Flag_of_the_Taliban.svg", + "regionalBlocs": [ + { + "acronym": "SAARC", + "name": "South Asian Association for Regional Cooperation" + } + ], + "cioc": "AFG", + "independent": true + }, + { + "name": "Åland Islands", + "topLevelDomain": [ + ".ax" + ], + "alpha2Code": "AX", + "alpha3Code": "ALA", + "callingCodes": [ + "358" + ], + "capital": "Mariehamn", + "altSpellings": [ + "AX", + "Aaland", + "Aland", + "Ahvenanmaa" + ], + "subregion": "Northern Europe", + "region": "Europe", + "population": 28875, + "latlng": [ + 60.116667, + 19.9 + ], + "demonym": "Ålandish", + "area": 1580.0, + "timezones": [ + "UTC+02:00" + ], + "nativeName": "Åland", + "numericCode": "248", + "flags": { + "svg": "https://flagcdn.com/ax.svg", + "png": "https://flagcdn.com/w320/ax.png" + }, + "currencies": [ + { + "code": "EUR", + "name": "Euro", + "symbol": "€" + } + ], + "languages": [ + { + "iso639_1": "sv", + "iso639_2": "swe", + "name": "Swedish", + "nativeName": "svenska" + } + ], + "translations": { + "br": "Åland", + "pt": "Ilhas de Aland", + "nl": "Ålandeilanden", + "hr": "Ålandski otoci", + "fa": "جزایر الند", + "de": "Åland", + "es": "Alandia", + "fr": "Åland", + "ja": "オーランド諸島", + "it": "Isole Aland", + "hu": "Åland-szigetek" + }, + "flag": "https://flagcdn.com/ax.svg", + "regionalBlocs": [ + { + "acronym": "EU", + "name": "European Union" + } + ], + "independent": false + }, + { + "name": "Albania", + "topLevelDomain": [ + ".al" + ], + "alpha2Code": "AL", + "alpha3Code": "ALB", + "callingCodes": [ + "355" + ], + "capital": "Tirana", + "altSpellings": [ + "AL", + "Shqipëri", + "Shqipëria", + "Shqipnia" + ], + "subregion": "Southern Europe", + "region": "Europe", + "population": 2837743, + "latlng": [ + 41.0, + 20.0 + ], + "demonym": "Albanian", + "area": 28748.0, + "gini": 33.2, + "timezones": [ + "UTC+01:00" + ], + "borders": [ + "MNE", + "GRC", + "MKD", + "UNK" + ], + "nativeName": "Shqipëria", + "numericCode": "008", + "flags": { + "svg": "https://flagcdn.com/al.svg", + "png": "https://flagcdn.com/w320/al.png" + }, + "currencies": [ + { + "code": "ALL", + "name": "Albanian lek", + "symbol": "L" + } + ], + "languages": [ + { + "iso639_1": "sq", + "iso639_2": "sqi", + "name": "Albanian", + "nativeName": "Shqip" + } + ], + "translations": { + "br": "Albania", + "pt": "Albânia", + "nl": "Albanië", + "hr": "Albanija", + "fa": "آلبانی", + "de": "Albanien", + "es": "Albania", + "fr": "Albanie", + "ja": "アルバニア", + "it": "Albania", + "hu": "Albánia" + }, + "flag": "https://flagcdn.com/al.svg", + "regionalBlocs": [ + { + "acronym": "CEFTA", + "name": "Central European Free Trade Agreement" + } + ], + "cioc": "ALB", + "independent": true + }, + { + "name": "Algeria", + "topLevelDomain": [ + ".dz" + ], + "alpha2Code": "DZ", + "alpha3Code": "DZA", + "callingCodes": [ + "213" + ], + "capital": "Algiers", + "altSpellings": [ + "DZ", + "Dzayer", + "Algérie" + ], + "subregion": "Northern Africa", + "region": "Africa", + "population": 44700000, + "latlng": [ + 28.0, + 3.0 + ], + "demonym": "Algerian", + "area": 2381741.0, + "gini": 27.6, + "timezones": [ + "UTC+01:00" + ], + "borders": [ + "TUN", + "LBY", + "NER", + "ESH", + "MRT", + "MLI", + "MAR" + ], + "nativeName": "الجزائر", + "numericCode": "012", + "flags": { + "svg": "https://flagcdn.com/dz.svg", + "png": "https://flagcdn.com/w320/dz.png" + }, + "currencies": [ + { + "code": "DZD", + "name": "Algerian dinar", + "symbol": "د.ج" + } + ], + "languages": [ + { + "iso639_1": "ar", + "iso639_2": "ara", + "name": "Arabic", + "nativeName": "العربية" + } + ], + "translations": { + "br": "Aljeria", + "pt": "Argélia", + "nl": "Algerije", 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"UMI", + "callingCodes": [ + "246" + ], + "altSpellings": [ + "UM" + ], + "subregion": "Northern America", + "region": "Americas", + "population": 300, + "demonym": "American", + "timezones": [ + "UTC-11:00", + "UTC-10:00", + "UTC+12:00" + ], + "nativeName": "United States Minor Outlying Islands", + "numericCode": "581", + "flags": { + "svg": "https://flagcdn.com/um.svg", + "png": "https://flagcdn.com/w320/um.png" + }, + "currencies": [ + { + "code": "GBP", + "name": "British pound", + "symbol": "£" + } + ], + "languages": [ + { + "iso639_1": "en", + "iso639_2": "eng", + "name": "English", + "nativeName": "English" + } + ], + "translations": { + "br": "Inizi Minor A-bell Stadoù-Unanet", + "pt": "Ilhas Menores Distantes dos Estados Unidos", + "nl": "Kleine afgelegen eilanden van de Verenigde Staten", + "hr": "Mali udaljeni otoci SAD-a", + "fa": "جزایر کوچک حاشیه‌ای ایالات متحده آمریکا", + "de": "Kleinere Inselbesitzungen der Vereinigten Staaten", + "es": "Islas Ultramarinas Menores de 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], + "languages": [ + { + "iso639_1": "vi", + "iso639_2": "vie", + "name": "Vietnamese", + "nativeName": "Tiếng Việt" + } + ], + "translations": { + "br": "Viêt Nam", + "pt": "Vietname", + "nl": "Vietnam", + "hr": "Vijetnam", + "fa": "ویتنام", + "de": "Vietnam", + "es": "Vietnam", + "fr": "Viêt Nam", + "ja": "ベトナム", + "it": "Vietnam", + "hu": "Vietnám" + }, + "flag": "https://flagcdn.com/vn.svg", + "regionalBlocs": [ + { + "acronym": "ASEAN", + "name": "Association of Southeast Asian Nations" + } + ], + "cioc": "VIE", + "independent": true + }, + { + "name": "Wallis and Futuna", + "topLevelDomain": [ + ".wf" + ], + "alpha2Code": "WF", + "alpha3Code": "WLF", + "callingCodes": [ + "681" + ], + "capital": "Mata-Utu", + "altSpellings": [ + "WF", + "Territory of the Wallis and Futuna Islands", + "Territoire des îles Wallis et Futuna" + ], + "subregion": "Polynesia", + "region": "Oceania", + "population": 11750, + "latlng": [ + -13.3, + -176.2 + ], + "demonym": "Wallis and Futuna Islander", + "area": 142.0, + "timezones": [ + "UTC+12:00" + ], + "nativeName": "Wallis et Futuna", + "numericCode": "876", + "flags": { + "svg": "https://flagcdn.com/wf.svg", + "png": "https://flagcdn.com/w320/wf.png" + }, + "currencies": [ + { + "code": "XPF", + "name": "CFP franc", + "symbol": "Fr" + } + ], + "languages": [ + { + "iso639_1": "fr", + "iso639_2": "fra", + "name": "French", + "nativeName": "français" + } + ], + "translations": { + "br": "Wallis ha Futuna", + "pt": "Wallis e Futuna", + "nl": "Wallis en Futuna", + "hr": "Wallis i Fortuna", + "fa": "والیس و فوتونا", + "de": "Wallis und Futuna", + "es": "Wallis y Futuna", + "fr": "Wallis-et-Futuna", + "ja": "ウォリス・フツナ", + "it": "Wallis e Futuna", + "hu": "Wallis és Futuna" + }, + "flag": "https://flagcdn.com/wf.svg", + "independent": false + }, + { + "name": "Western Sahara", + "topLevelDomain": [ + ".eh" + ], + "alpha2Code": "EH", + "alpha3Code": "ESH", + "callingCodes": [ + "212" + ], + "capital": "El Aaiún", + "altSpellings": [ + "EH", + "Taneẓroft Tutrimt" + ], + "subregion": "Northern Africa", + "region": "Africa", + "population": 510713, + "latlng": [ + 24.5, + -13.0 + ], + "demonym": "Sahrawi", + "area": 266000.0, + "timezones": [ + "UTC+00:00" + ], + "borders": [ + "DZA", + "MRT", + "MAR" + ], + "nativeName": "الصحراء الغربية", + "numericCode": "732", + "flags": { + "svg": "https://flagcdn.com/eh.svg", + "png": "https://flagcdn.com/w320/eh.png" + }, + "currencies": [ + { + "code": "MAD", + "name": "Moroccan dirham", + "symbol": "د.م." + }, + { + "code": "DZD", + "name": "Algerian dinar", + "symbol": "د.ج" + } + ], + "languages": [ + { + "iso639_1": "es", + "iso639_2": "spa", + "name": "Spanish", + "nativeName": "Español" + } + ], + "translations": { + "br": "Sahara ar C'hornôg", + "pt": "Saara Ocidental", + "nl": "Westelijke Sahara", + "hr": "Zapadna Sahara", + "fa": "جمهوری دموکراتیک عربی صحرا", + "de": "Westsahara", + "es": "Sahara Occidental", + "fr": "Sahara Occidental", + "ja": "西サハラ", + "it": "Sahara Occidentale", + "hu": "Nyugat-Szahara" + }, + "flag": "https://flagcdn.com/eh.svg", + "regionalBlocs": [ + { + "acronym": "AU", + "name": "African Union", + "otherNames": [ + "الاتحاد الأفريقي", + "Union africaine", + "União Africana", + "Unión Africana", + "Umoja wa Afrika" + ] + } + ], + "independent": false + }, + { + "name": "Yemen", + "topLevelDomain": [ + ".ye" + ], + "alpha2Code": "YE", + "alpha3Code": "YEM", + "callingCodes": [ + "967" + ], + "capital": "Sana'a", + "altSpellings": [ + "YE", + "Yemeni Republic", + "al-Jumhūriyyah al-Yamaniyyah" + ], + "subregion": "Western Asia", + "region": "Asia", + "population": 29825968, + "latlng": [ + 15.0, + 48.0 + ], + "demonym": "Yemeni", + "area": 527968.0, + "gini": 36.7, + "timezones": [ + "UTC+03:00" + ], + "borders": [ + "OMN", + "SAU" + ], + "nativeName": "اليَمَن", + "numericCode": "887", + "flags": { + "svg": "https://flagcdn.com/ye.svg", + "png": "https://flagcdn.com/w320/ye.png" + }, + "currencies": [ + { + "code": "YER", + "name": "Yemeni rial", + "symbol": "﷼" + } + ], + "languages": [ + { + "iso639_1": "ar", + "iso639_2": "ara", + "name": "Arabic", + "nativeName": "العربية" + } + ], + "translations": { + "br": "Yemen", + "pt": "Iémen", + "nl": "Jemen", + "hr": "Jemen", + "fa": "یمن", + "de": "Jemen", + "es": "Yemen", + "fr": "Yémen", + "ja": "イエメン", + "it": "Yemen", + "hu": "Jemen" + }, + "flag": "https://flagcdn.com/ye.svg", + "regionalBlocs": [ + { + "acronym": "AL", + "name": "Arab League", + "otherNames": [ + "جامعة الدول العربية", + "Jāmiʻat ad-Duwal al-ʻArabīyah", + "League of Arab States" + ] + } + ], + "cioc": "YEM", + "independent": true + }, + { + "name": "Zambia", + "topLevelDomain": [ + ".zm" + ], + "alpha2Code": "ZM", + "alpha3Code": "ZMB", + "callingCodes": [ + "260" + ], + "capital": "Lusaka", + "altSpellings": [ + "ZM", + "Republic of Zambia" + ], + "subregion": "Eastern Africa", + "region": "Africa", + "population": 18383956, + "latlng": [ + -15.0, + 30.0 + ], + "demonym": "Zambian", + "area": 752618.0, + "gini": 57.1, + "timezones": [ + "UTC+02:00" + ], + "borders": [ + "AGO", + "BWA", + "COD", + "MWI", + "MOZ", + "NAM", + "TZA", + "ZWE" + ], + "nativeName": "Zambia", + "numericCode": "894", + "flags": { + "svg": "https://flagcdn.com/zm.svg", + "png": "https://flagcdn.com/w320/zm.png" + }, + "currencies": [ + { + "code": "ZMW", + "name": "Zambian kwacha", + "symbol": "ZK" + } + ], + "languages": [ + { + "iso639_1": "en", + "iso639_2": "eng", + "name": "English", + "nativeName": "English" + } + ], + "translations": { + "br": "Zambia", + "pt": "Zâmbia", + "nl": "Zambia", + "hr": "Zambija", + "fa": "زامبیا", + "de": "Sambia", + "es": "Zambia", + "fr": "Zambie", + "ja": "ザンビア", + "it": "Zambia", + "hu": "Zambia" + }, + "flag": "https://flagcdn.com/zm.svg", + "regionalBlocs": [ + { + "acronym": "AU", + "name": "African Union", + "otherNames": [ + "الاتحاد الأفريقي", + "Union africaine", + "União Africana", + "Unión Africana", + "Umoja wa Afrika" + ] + } + ], + "cioc": "ZAM", + "independent": true + }, + { + "name": "Zimbabwe", + "topLevelDomain": [ + ".zw" + ], + "alpha2Code": "ZW", + "alpha3Code": "ZWE", + "callingCodes": [ + "263" + ], + "capital": "Harare", + "altSpellings": [ + "ZW", + "Republic of Zimbabwe" + ], + "subregion": "Southern Africa", + "region": "Africa", + "population": 14862927, + "latlng": [ + -20.0, + 30.0 + ], + "demonym": "Zimbabwean", + "area": 390757.0, + "gini": 50.3, + "timezones": [ + "UTC+02:00" + ], + "borders": [ + "BWA", + "MOZ", + "ZAF", + "ZMB" + ], + "nativeName": "Zimbabwe", + "numericCode": "716", + "flags": { + "svg": "https://flagcdn.com/zw.svg", + "png": "https://flagcdn.com/w320/zw.png" + }, + "currencies": [ + { + "code": "ZMW", + "name": "Zambian kwacha", + "symbol": "K" + } + ], + "languages": [ + { + "iso639_1": "en", + "iso639_2": "eng", + "name": "English", + "nativeName": "English" + }, + { + "iso639_1": "sn", + "iso639_2": "sna", + "name": "Shona", + "nativeName": "chiShona" + }, + { + "iso639_1": "nd", + "iso639_2": "nde", + "name": "Northern Ndebele", + "nativeName": "isiNdebele" + } + ], + "translations": { + "br": "Zimbabwe", + "pt": "Zimbabué", + "nl": "Zimbabwe", + "hr": "Zimbabve", + "fa": "زیمباوه", + "de": "Simbabwe", + "es": "Zimbabue", + "fr": "Zimbabwe", + "ja": "ジンバブエ", + "it": "Zimbabwe", + "hu": "Zimbabwe" + }, + "flag": "https://flagcdn.com/zw.svg", + "regionalBlocs": [ + { + "acronym": "AU", + "name": "African Union", + "otherNames": [ + "الاتحاد الأفريقي", + "Union africaine", + "União Africana", + "Unión Africana", + "Umoja wa Afrika" + ] + } + ], + "cioc": "ZIM", + "independent": true + } +] \ No newline at end of file diff --git a/data/stop_words.py b/data/stop_words.py index deafc4a76..6108c773e 100644 --- a/data/stop_words.py +++ b/data/stop_words.py @@ -1,2 +1,2 @@ -stop_words = ['i','me','my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', "you're", "you've", "you'll", "you'd", 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', "she's", 'her', 'hers', 'herself', 'it', "it's", 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', "that'll", 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up','down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', "don't", 'should', "should've", 'now', 'd', 'll', 'm', 'o', 're', 've', 'y', 'ain', 'aren', "aren't", 'couldn', "couldn't", 'didn', "didn't", 'doesn', "doesn't", 'hadn', "hadn't", 'hasn', "hasn't", 'haven', "haven't", 'isn', "isn't", 'ma', 'mightn', "mightn't", 'mustn', "mustn't", 'needn', "needn't", 'shan', "shan't", 'shouldn', "shouldn't", 'wasn', "wasn't", 'weren', "weren't", 'won', "won't", 'wouldn', "wouldn't"] - +stop_words = ['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', "you're", "you've", "you'll", "you'd", 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', "she's", 'her', 'hers', 'herself', 'it', "it's", 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', "that'll", 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', + 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', "don't", 'should', "should've", 'now', 'd', 'll', 'm', 'o', 're', 've', 'y', 'ain', 'aren', "aren't", 'couldn', "couldn't", 'didn', "didn't", 'doesn', "doesn't", 'hadn', "hadn't", 'hasn', "hasn't", 'haven', "haven't", 'isn', "isn't", 'ma', 'mightn', "mightn't", 'mustn', "mustn't", 'needn', "needn't", 'shan', "shan't", 'shouldn', "shouldn't", 'wasn', "wasn't", 'weren', "weren't", 'won', "won't", 'wouldn', "wouldn't"] diff --git a/images/Wispr_Flow-Logo-white.png b/images/Wispr_Flow-Logo-white.png new file mode 100644 index 000000000..744cd11ae Binary files /dev/null and b/images/Wispr_Flow-Logo-white.png differ diff 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100644 index 000000000..1e5343cae --- /dev/null +++ b/images/wispr_flow_logo.svg @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/korean/03_Day_Operators/03_operators.md b/korean/03_Day_Operators/03_operators.md new file mode 100644 index 000000000..1cfff93d4 --- /dev/null +++ b/korean/03_Day_Operators/03_operators.md @@ -0,0 +1,317 @@ +
    +

    30 Days Of Python: Day 3 - Operators

    + + + + + Twitter Follow + + +Author: +Asabeneh Yetayeh
    + Second Edition: July, 2021 +     +
    + +[<< Day 2](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) | [Day 4 >>](../04_Day_Strings/04_strings.md) + +![30DaysOfPython](../images/30DaysOfPython_banner3@2x.png) + +- [📘 3일차](#-3일차) + - [불리언](#불리언) + - [연산자](#연산자) + - [대입 연산자](#대입-연산자) + - [산술 연산자:](#산술-연산자) + - [비교 연산자](#비교-연산자) + - [논리 연산자](#논리-연산자) + - [💻 3일차: 실습](#-3일차-실습) + +# 📘 3일차 + +## 불리언 + +불리언 데이터 타입은 True 또는 False 두 값 중 하나를 나타냅니다. 비교 연산자를 사용하면 이 데이터 타입의 사용이 명확해질 것입니다. 첫 번째 문자 **T** 는 참, **F** 는 거짓으로 표현되는 자바 스크립트와 달리 대문자여야 합니다. +**예시: 불리언 값** + +```py +print(True) +print(False) +``` + +## 연산자 + +파이썬은 몇 가지 타입의 연산자를 지원합니다. 이 섹션에서 이것에 대해 알아볼 것입니다. + +### 대입 연산자 + +대입 연산자는 변수에 값을 대입할 때 사용됩니다. = 로 예시를 들어보겠습니다. 수학에서 등호란 두 값이 동일하다는 것을 의미하지만, 파이썬에서는 특정 변수가 값을 가지고 있으며, 이 변수에 값을 대입한다고 합니다. 아래 표는 [w3school](https://www.w3schools.com/python/python_operators.asp)에서 가져온 다양한 유형의 파이썬 할당 연산자를 보여줍니다. + +![대입 연산자](../images/assignment_operators.png) + +### 산술 연산자: + +- 더하기(+): a + b +- 빼기(-): a - b +- 곱하기(*): a * b +- 나누기(/): a / b +- 나머지 연산(%): a % b +- 버림 나눗셈(//): a // b +- 지수(**): a ** b + +![산술 연산자](../images/arithmetic_operators.png) + +**예시: Integers** + +```py +# Arithmetic Operations in Python +# Integers + +print('Addition: ', 1 + 2) # 3 +print('Subtraction: ', 2 - 1) # 1 +print('Multiplication: ', 2 * 3) # 6 +print ('Division: ', 4 / 2) # 2.0 파이썬의 나누기는 부동 소수를 제공합니다. +print('Division: ', 6 / 2) # 3.0 +print('Division: ', 7 / 2) # 3.5 +print('Division without the remainder: ', 7 // 2) # 3, 부동 소수 또는 나머지가 없는 값을 제공합니다. +print ('Division without the remainder: ',7 // 3) # 2 +print('Modulus: ', 3 % 2) # 1, 나머지를 제공합니다. +print('Exponentiation: ', 2 ** 3) # 9 2 * 2 * 2 를 의미합니다. +``` + +**예시: Floats** + +```py +# Floating numbers +print('Floating Point Number, PI', 3.14) +print('Floating Point Number, gravity', 9.81) +``` + +**예시: 복소수** + +```py +# Complex numbers +print('Complex number: ', 1 + 1j) +print('Multiplying complex numbers: ',(1 + 1j) * (1 - 1j)) +``` + +변수를 선언하고 숫자 데이터 유형을 지정합니다. 여기서는 단일 문자 변수를 사용할 것이지만, 이런 유형의 변수를 선언하는 습관은 좋지 않다는 것을 기억하셔야 합니다. 변수 이름은 항상 기억해야 합니다. + +**Example:** + +```python +# 첫 번째로 변수를 먼저 선언합니다. + +a = 3 # a는 변수의 이름이며 정수 데이터 타입입니다. +b = 2 # b는 변수의 이름이며 정수 데이터 타입입니다. + +# 산술 연산 및 결과를 변수에 대입합니다. +total = a + b +diff = a - b +product = a * b +division = a / b +remainder = a % b +floor_division = a // b +exponential = a ** b + +# sum 대신 total을 사용했어야 하지만 sum은 내장 함수입니다. 내장 함수를 재정의하지 않도록 하십시오. +print(total) # 만약 몇몇 출력에 문자열로 표시를 하지 않는다면, 어디서 결과가 오는지 알지 못할 것입니다. +print('a + b = ', total) +print('a - b = ', diff) +print('a * b = ', product) +print('a / b = ', division) +print('a % b = ', remainder) +print('a // b = ', floor_division) +print('a ** b = ', exponentiation) +``` + +**Example:** + +```py +print('== Addition, Subtraction, Multiplication, Division, Modulus ==') + +# 값을 선언하고 함께 정리 +num_one = 3 +num_two = 4 + +# 산술 연산 +total = num_one + num_two +diff = num_two - num_one +product = num_one * num_two +div = num_two / num_one +remainder = num_two % num_one + +# 레이블로 값 출력 +print('total: ', total) +print('difference: ', diff) +print('product: ', product) +print('division: ', div) +print('remainder: ', remainder) +``` + +이제 점 연결을 시작하고 이미 알고 있는 계산 방법(면적, 부피, 밀도, 무게, 둘레, 거리, 힘)을 사용해 보겠습니다. + +**Example:** + +```py +# 원의 넓이 계산 +radius = 10 # 원의 반지름 +area_of_circle = 3.14 * radius ** 2 # 두 개의 * 기호는 지수를 의미합니다 +print('Area of a circle:', area_of_circle) + +# 직사각형의 넓이 계산 +length = 10 +width = 20 +area_of_rectangle = length * width +print('Area of rectangle:', area_of_rectangle) + +# 개체의 무게 계산 +mass = 75 +gravity = 9.81 +weight = mass * gravity +print(weight, 'N') # 무게에 단위 추가 + +# 액체의 밀도 계산 +mass = 75 # in Kg +volume = 0.075 # in cubic meter +density = mass / volume # 1000 Kg/m^3 + +``` + +### 비교 연산자 + +프로그래밍에서 우리는 비교 연산자를 사용하여 두 값을 비교합니다. 우리는 값이 다른 값보다 크거나 작거나 같은지 확인합니다. 다음 표는[w3shool](https://www.w3schools.com/python/python_operators.asp)에서 가져온 파이썬의 비교 연산자를 보여줍니다. + +![Comparison Operators](../images/comparison_operators.png) +**Example: 비교 연산자** + +```py +print(3 > 2) # 참, 3이 2보다 크기 때문에 +print(3 >= 2) # 참, 3이 2보다 크기 때문에 +print(3 < 2) # 거짓, 3이 더 크기 때문에 +print(2 < 3) # 참, 2가 3보다 작기 때문에 +print(2 <= 3) # 참, 2가 3보다 작기 때문에 +print(3 == 2) # 거짓, 3과 2는 같지 않기 때문에 +print(3 != 2) # 참, 3은 2와 다르기 때문에 +print(len('mango') == len('avocado')) # 거짓 +print(len('mango') != len('avocado')) # 참 +print(len('mango') < len('avocado')) # 참 +print(len('milk') != len('meat')) # 거짓 +print(len('milk') == len('meat')) # 참 +print(len('tomato') == len('potato')) # 참 +print(len('python') > len('dragon')) # 거짓 + + +# 무언가를 비교하면 참 또는 거짓이 됩니다. + +print('True == True: ', True == True) +print('True == False: ', True == False) +print('False == False:', False == False) +``` + +위의 비교 연산자 외에 파이썬은 다음과 같은 연산자를 사용합니다: + +- _is_: 두 변수가 동일할 경우 참을 반환합니다.(x is y) +- _is not_: 두 변수가 동일하지 않을 경우 참을 반환합니다.(x is not y) +- _in_: 제시된 목록에 특정 항목이 포함된 경우 참을 반환합니다.(x in y) +- _not in_: 제시된 목록에 특정 항목이 없으면 참을 반환합니다.(x in y) + +```py +print('1 is 1', 1 is 1) # 참 - 데이터 값이 동일하기 때문에 +print('1 is not 2', 1 is not 2) # 참 - 1과 2는 다르기 때문에 +print('A in Asabeneh', 'A' in 'Asabeneh') # 참 - 문자열에서 A를 찾을 수 있습니다 +print('B in Asabeneh', 'B' in 'Asabeneh') # 거짓 - 대문자 B가 없습니다 +print('coding' in 'coding for all') # 참 - coding이라는 단어를 coding for all이 가지고 있기 때문에 +print('a in an:', 'a' in 'an') # 참 +print('4 is 2 ** 2:', 4 is 2 ** 2) # 참 +``` + +### 논리 연산자 + +다른 프로그래밍 언어와 달리 파이썬은 논리 연산자를 위해 _and_, _or_, _not_ 키워드를 사용합니다. 논리 연산자는 다음과 같은 조건문을 결합하는 데 사용됩니다. + +![Logical Operators](../images/logical_operators.png) + +```py +print(3 > 2 and 4 > 3) # 참 - 두 개의 문장이 참이기 때문에 +print(3 > 2 and 4 < 3) # 거짓 - 두 번째 문장이 거짓이기 때문에 +print(3 < 2 and 4 < 3) # 거짓 - 두 가지 문장 모두 거짓이기 때문에 +print('True and True: ', True and True) +print(3 > 2 or 4 > 3) # 참 - 두 가지 문장 모두 참이기 때문에 +print(3 > 2 or 4 < 3) # 참 - 두 가지 중 하나의 문장이 참이기 때문에 +print(3 < 2 or 4 < 3) # 거짓 - 두 가지 문장 모두 거짓이기 때문에 +print('True or False:', True or False) +print(not 3 > 2) # 거짓 - 3이 2보다 큰 것은 참이기 때문에, 참이 아닐 경우 거짓을 줍니다. +print(not True) # 거짓 - 부정으로 참에서 거짓으로 바뀝니다. +print(not False) # True +print(not not True) # True +print(not not False) # False + +``` + +🌕 당신은 무한한 에너지를 가지고 있어요. 여러분은 이제 막 3일차 도전을 마쳤고 위대함으로 가는 길에 세 걸음 앞서 있습니다. 이제 여러분의 뇌와 근육을 위한 운동을 하세요. + +## 💻 3일차 실습 + +1. 나이를 정수 변수로 선언합니다. +2. 자신의 키를 플로트 변수로 선언합니다. +3. 복소수를 저장하는 변수 선언합니다. +4. 삼각형의 밑면과 높이를 입력하도록 사용자에게 지시하는 스크립트를 작성하고 이 삼각형의 면적(면적 = 0.5 x b x h)을 계산합니다. + +```py + Enter base: 20 + Enter height: 10 + The area of the triangle is 100 +``` + +5. 삼각형의 측면 a, 측면 b, 측면 c를 입력하라는 메시지를 표시하는 스크립트를 작성합니다. 삼각형의 둘레(지름 = a + b + c)를 계산합니다. + +```py +Enter side a: 5 +Enter side b: 4 +Enter side c: 3 +The perimeter of the triangle is 12 +``` + +6. 프롬프트를 사용하여 직사각형의 길이와 너비를 가져옵니다. 면적(면적 = 길이 x 폭) 및 둘레(면적 = 2 x (길이 + 폭)) 계산합니다. +7. 프롬프트를 사용하여 원의 반지름을 구합니다. 면적(면적 = 픽스 r x r)과 원주(c = 2 x 픽스 r)를 계산합니다. 여기서 pi = 3.14입니다. +8. y = 2x-2의 기울기, x-제곱 및 y-제곱을 계산합니다. +9. 기울기는 (m = y2-y1/x2-x1)입니다. 기울기와 [유클리드 거리](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance.) 점(2,2)과 점(6,10) 사이를 구합니다. +10. 과제 8과 9의 기울기를 비교합니다. +11. y 값(y = x^2 + 6x + 9)을 계산합니다. 다른 x 값을 사용하고 y 값이 0이 되는 x 값을 계산해 보십시오. +12. 'python'과 'dragon'의 길이를 찾아 거짓 비교를 합니다. +13. _and_ 연산자를 사용하여 'python'과 'dragon' 모두에 'on'이 있는지 확인합니다. +14. _나는 이 강좌가 전문용어로 가득하지 않기를 바랍니다. _in_ 연산자를 사용하여 _jargon_ 이 문장에 있는지 확인합니다. +15. dragon과 python 모두 'On'이 없습니다. +16. _python_ 텍스트의 길이를 찾아서 값을 float로 변환하고 문자열로 변환합니다. +17. 짝수는 2로 나누고 나머지는 0입니다. 파이썬을 사용하여 숫자가 짝수인지 아닌지 어떻게 확인하겠습니까? +18. 7 x 3의 나눗셈 버림이 2.7의 int 변환값과 동일한지 확인합니다. +19. '10'의 유형이 10의 유형과 동일한지 확인합니다. +20. if int('9.8')이 10과 같은지 확인합니다. +21. 사용자에게 시간 및 시간당 요금을 입력하도록 요청하는 스크립트를 작성합니다. 그 사람의 급여를 계산합니까? + +```py +Enter hours: 40 +Enter rate per hour: 28 +Your weekly earning is 1120 +``` + +22. 사용자에게 년 수를 입력하도록 요청하는 스크립트를 작성합니다. 사람이 살 수 있는 시간을 초 단위로 계산합니다. 사람이 100년을 살 수 있다고 가정합시다. + +```py +Enter number of years you have lived: 100 +You have lived for 3153600000 seconds. +``` + +23. 다음을 표시하는 파이썬 스크립트를 작성합니다. + +```py +1 1 1 1 1 +2 1 2 4 8 +3 1 3 9 27 +4 1 4 16 64 +5 1 5 25 125 +``` + +🎉 축하합니다 ! 🎉 + +[<< Day 2](../02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) | [Day 4 >>](../04_Day_Strings/04_strings.md) diff --git a/korean/readme.md b/korean/readme.md new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/korean/readme.md @@ -0,0 +1 @@ + diff --git a/mymodule.py b/mymodule.py index 127ab21f1..c90a2cae1 100644 --- a/mymodule.py +++ b/mymodule.py @@ -1,16 +1,17 @@ def generate_full_name(firstname, lastname): - space = ' ' - fullname = firstname + space + lastname - return fullname + space = ' ' + fullname = firstname + space + lastname + return fullname -def sum_two_nums (num1, num2): + +def sum_two_nums(num1, num2): return num1 + num2 + + gravity = 9.81 person = { "firstname": "Asabeneh", "age": 250, "country": "Finland", - "city":'Helsinki' + "city": 'Helsinki' } - - diff --git a/mypackage/arithmetics.py b/mypackage/arithmetics.py index 2bca4930e..c674c9af2 100644 --- a/mypackage/arithmetics.py +++ b/mypackage/arithmetics.py @@ -23,6 +23,3 @@ def remainder(a, b): def power(a, b): return a ** b - - - diff --git a/numpy.md b/numpy.md index 84e317d4f..857f40f36 100644 --- a/numpy.md +++ b/numpy.md @@ -1,4 +1,4 @@ -- [📘 Day 24](#%f0%9f%93%98-day-24) +- [📘 Day 24](#-day-24) - [Python for Statistical Analysis](#python-for-statistical-analysis) - [Statistics](#statistics) - [Data](#data) @@ -30,7 +30,7 @@ - [Slicing Numpy array](#slicing-numpy-array) - [How to reverse the rows and the whole array?](#how-to-reverse-the-rows-and-the-whole-array) - [Reverse the row and column positions](#reverse-the-row-and-column-positions) - - [How to represent missing values ?](#how-to-represent-missing-values) + - [How to represent missing values ?](#how-to-represent-missing-values-) - [Generating Random Numbers](#generating-random-numbers) - [Generationg random numbers](#generationg-random-numbers) - [Numpy and Statistics](#numpy-and-statistics) @@ -44,20 +44,23 @@ - [Linear Algebra](#linear-algebra) - [NumPy Matrix Multiplication with np.matmul()](#numpy-matrix-multiplication-with-npmatmul) - [Summery](#summery) - - [💻 Exercises: Day 24](#%f0%9f%92%bb-exercises-day-24) + - [💻 Exercises: Day 24](#-exercises-day-24) + # 📘 Day 24 + ## Python for Statistical Analysis + ## Statistics Statistics is the discipline that studies the _collection_, _organization_, _displaying_, _analysis_, _interpretation_ and _presentation_ of data. -Statistics is a branch of mathematics that is recommended to be a prerequisite for data science and machine learning. Statistics is a very broad field but we will focus in this section only on the most relevant part. -After completing this challenge, you may go to web development, data analysis, machine learning and data science path. Whatever path you may follow, at some point in your career you will get data which you may work on. Having some statistical knowledge will help you to make decision based on data, *data tells as they say*. +Statistics is a branch of mathematics that is recommended to be a prerequisite for data science and machine learning. Statistics is a very broad field but we will focus in this section only on the most relevant part. +After completing this challenge, you may go to web development, data analysis, machine learning and data science path. Whatever path you may follow, at some point in your career you will get data which you may work on. Having some statistical knowledge will help you to make decision based on data, _data tells as they say_. ## Data What is data? Data is any set of characters that is gathered and translated for some purpose, usually analysis. It can be any character, including text and numbers, pictures, sound, or video. If data is not put into context, it doesn't give any sense to a human or computer. To make sense from data we need to work on the data using different tools. -The work flow of data analysis, data science or machine learning starts from data. Data can be provided from some data source or it can be created. There are structured and and unstructure data. +The work flow of data analysis, data science or machine learning starts from data. Data can be provided from some data source or it can be created. There are structured and and unstructure data. Data can be found as small or big data format. Most of the data types we will get have been covered in the file handling section. @@ -76,6 +79,7 @@ So far, we have been using vscode but from now on I would recommend using Jupyte ```sh asabeneh@Asabeneh:~/Desktop/30DaysOfPython$ pip install numpy ``` + ## Importing NumPy Jupyter notebook is available if your are in favor of [jupyter notebook](https://github.com/Asabeneh/data-science-for-everyone/blob/master/numpy/numpy.ipynb) @@ -90,6 +94,7 @@ Jupyter notebook is available if your are in favor of [jupyter notebook](https:/ ``` ## Creating numpy array using + ### Creating int numpy arrays ```py @@ -98,7 +103,7 @@ Jupyter notebook is available if your are in favor of [jupyter notebook](https:/ # Checking data types print('Type:', type (python_list)) # - # + # print(python_list) # [1, 2, 3, 4, 5] two_dimensional_list = [[0,1,2], [3,4,5], [6,7,8]] @@ -107,13 +112,15 @@ Jupyter notebook is available if your are in favor of [jupyter notebook](https:/ # Creating Numpy(Numerical Python) array from python list - numpy_array_from_list = np.array(python_list) + numpy_array_from_list = np.array(python_list) print(type (numpy_array_from_list)) # print(numpy_array_from_list) # array([1, 2, 3, 4, 5]) ``` ### Creating float numpy arrays + Creating a float numpy array from list with a float data type parameter + ```py # Python list python_list = [1,2,3,4,5] @@ -123,14 +130,17 @@ Creating a float numpy array from list with a float data type parameter ``` ### Creating boolean numpy arrays -Creating a boolean a numpy array from list + +Creating a boolean a numpy array from list + ```py numpy_bool_array = np.array([0, 1, -1, 0, 0], dtype=bool) print(numpy_bool_array) # array([False, True, True, False, False]) ``` ### Creating multidimensional array using numpy -A numpy array may have one or multiple rors and columns + +A numpy array may have one or multiple rows and columns ```py two_dimensional_list = [[0,1,2], [3,4,5], [6,7,8]] @@ -138,6 +148,7 @@ A numpy array may have one or multiple rors and columns print(type (numpy_two_dimensional_list)) print(numpy_two_dimensional_list) ``` + ```sh [[0 1 2] @@ -154,6 +165,7 @@ print(type (np_to_list)) print('one dimensional array:', np_to_list) print('two dimensional array: ', numpy_two_dimensional_list.tolist()) ``` + ```sh one dimensional array: [1, 2, 3, 4, 5] @@ -161,6 +173,7 @@ print('two dimensional array: ', numpy_two_dimensional_list.tolist()) ``` ### Creating numpy array from tuple + ```py # Numpy array from tuple # Creating tuple in Python @@ -174,6 +187,7 @@ print('numpy_array_from_tuple: ', numpy_array_from_tuple) # numpy_array_from_tup ``` ### Shape of numpy array + The shape method provide the shape of the array as a tuple. The first is the row and the second is the column. If the array is just one dimensional it returns the size of the array. ```py @@ -187,6 +201,7 @@ The shape method provide the shape of the array as a tuple. The first is the row [8,9,10, 11]]) print(three_by_four_array.shape) ``` + ```sh [1 2 3 4 5] shape of nums: (5,) @@ -198,7 +213,9 @@ The shape method provide the shape of the array as a tuple. The first is the row ``` ### Data type of numpy array + Type of data types: str, int, float, complex, bool, list, None + ```py int_lists = [-3, -2, -1, 0, 1, 2,3] int_array = np.array(int_lists) @@ -209,6 +226,7 @@ print(int_array.dtype) print(float_array) print(float_array.dtype) ``` + ```sh [-3 -2 -1 0 1 2 3] int64 @@ -217,7 +235,9 @@ print(float_array.dtype) ``` ### Size of a numpy array + In numpy to know the number of items in a numpy array list we use size + ```py numpy_array_from_list = np.array([1, 2, 3, 4, 5]) two_dimensional_list = np.array([[0, 1, 2], @@ -228,6 +248,7 @@ print('The size:', numpy_array_from_list.size) # 5 print('The size:', two_dimensional_list.size) # 3 ``` + ```sh The size: 5 The size: 9 @@ -235,15 +256,16 @@ print('The size:', two_dimensional_list.size) # 3 ## Mathematical Operation using numpy -Numpy array is not like exactly like python list. To do mathematical operation in pyhton list we have to loop through the items but numpy can allow to do any mathematical operation without looping. +Numpy array is not like exactly like python list. To do mathematical operation in python list we have to loop through the items but numpy can allow to do any mathematical operation without looping. Mathematical Operation: -* Addition (+) -* Subtraction (-) -* Multiplication (*) -* Division (/) -* Modules (%) -* Floor Division(//) -* Exponential(**) + +- Addition (+) +- Subtraction (-) +- Multiplication (\*) +- Division (/) +- Modules (%) +- Floor Division(//) +- Exponential(\*\*) ### Addition @@ -256,6 +278,7 @@ ten_plus_original = numpy_array_from_list + 10 print(ten_plus_original) ``` + ```sh original array: [1 2 3 4 5] [11 12 13 14 15] @@ -270,6 +293,7 @@ print('original array: ', numpy_array_from_list) ten_minus_original = numpy_array_from_list - 10 print(ten_minus_original) ``` + ```sh original array: [1 2 3 4 5] [-9 -8 -7 -6 -5] @@ -284,6 +308,7 @@ print('original array: ', numpy_array_from_list) ten_times_original = numpy_array_from_list * 10 print(ten_times_original) ``` + ```sh original array: [1 2 3 4 5] [10 20 30 40 50] @@ -298,6 +323,7 @@ print('original array: ', numpy_array_from_list) ten_times_original = numpy_array_from_list / 10 print(ten_times_original) ``` + ```sh original array: [1 2 3 4 5] [0.1 0.2 0.3 0.4 0.5] @@ -312,12 +338,14 @@ print('original array: ', numpy_array_from_list) ten_times_original = numpy_array_from_list % 3 print(ten_times_original) ``` + ```sh original array: [1 2 3 4 5] [1 2 0 1 2] ``` ### Floor Division + ```py # Floor division: the division result without the remainder numpy_array_from_list = np.array([1, 2, 3, 4, 5]) @@ -327,6 +355,7 @@ print(ten_times_original) ``` ### Exponential + ```py # Exponential is finding some number the power of another: numpy_array_from_list = np.array([1, 2, 3, 4, 5]) @@ -334,6 +363,7 @@ print('original array: ', numpy_array_from_list) ten_times_original = numpy_array_from_list ** 2 print(ten_times_original) ``` + ```sh original array: [1 2 3 4 5] [ 1 4 9 16 25] @@ -351,6 +381,7 @@ print(numpy_int_arr.dtype) print(numpy_float_arr.dtype) print(numpy_bool_arr.dtype) ``` + ```sh int64 float64 @@ -360,12 +391,14 @@ print(numpy_bool_arr.dtype) ### Converting types We can convert the data types of numpy array + 1. Int to Float ```py numpy_int_arr = np.array([1,2,3,4], dtype = 'float') numpy_int_arr ``` + array([1., 2., 3., 4.]) 2. Float to Int @@ -374,6 +407,7 @@ numpy_int_arr numpy_int_arr = np.array([1., 2., 3., 4.], dtype = 'int') numpy_int_arr ``` + ```sh array([1, 2, 3, 4]) ``` @@ -384,6 +418,7 @@ numpy_int_arr np.array([-3, -2, 0, 1,2,3], dtype='bool') ``` + ```sh array([ True, True, False, True, True, True]) ``` @@ -393,6 +428,7 @@ np.array([-3, -2, 0, 1,2,3], dtype='bool') ```py numpy_float_list.astype('int').astype('str') ``` + ```sh array(['1', '2', '3'], dtype=' [[1 2 3] @@ -417,6 +454,7 @@ print('Data type:', two_dimension_array.dtype) Size: 9 Data type: int64 ``` + ### Getting items from a numpy array ```py @@ -429,6 +467,7 @@ print('First row:', first_row) print('Second row:', second_row) print('Third row: ', third_row) ``` + ```sh First row: [1 2 3] Second row: [4 5 6] @@ -445,6 +484,7 @@ print('Third column: ', third_column) print(two_dimension_array) ``` + ```sh First column: [1 4 7] Second column: [2 5 8] @@ -455,6 +495,7 @@ print(two_dimension_array) ``` ## Slicing Numpy array + Slicing in numpy is similar to slicing in python list ```py @@ -462,12 +503,14 @@ two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) first_two_rows_and_columns = two_dimension_array[0:2, 0:2] print(first_two_rows_and_columns) ``` + ```sh [[1 2] [4 5]] ``` ### How to reverse the rows and the whole array? + ```py two_dimension_array[::] ``` @@ -484,6 +527,7 @@ two_dimension_array[::] two_dimension_array = np.array([[1,2,3],[4,5,6], [7,8,9]]) two_dimension_array[::-1,::-1] ``` + ```sh array([[9, 8, 7], [6, 5, 4], @@ -498,6 +542,7 @@ two_dimension_array[::] two_dimension_array[1,2] =44 print(two_dimension_array) ``` + ```sh [[1 2 3] [4 5 6] @@ -513,6 +558,7 @@ two_dimension_array[::] numpy_zeroes = np.zeros((3,3),dtype=int,order='C') numpy_zeroes ``` + ```sh array([[0, 0, 0], [0, 0, 0], @@ -524,6 +570,7 @@ two_dimension_array[::] numpy_ones = np.ones((3,3),dtype=int,order='C') print(numpy_ones) ``` + ```sh [[1 1 1] [1 1 1] @@ -543,6 +590,7 @@ reshaped = first_shape.reshape(3,2) print(reshaped) ``` + ```sh [[1 2 3] [4 5 6]] @@ -555,6 +603,7 @@ print(reshaped) flattened = reshaped.flatten() flattened ``` + ```sh array([1, 2, 3, 4, 5, 6]) ``` @@ -568,6 +617,7 @@ flattened print('Horizontal Append:', np.hstack((np_list_one, np_list_two))) ``` + ```sh [5 7 9] Horizontal Append: [1 2 3 4 5 6] @@ -577,6 +627,7 @@ flattened ## Vertical Stack print('Vertical Append:', np.vstack((np_list_one, np_list_two))) ``` + ```sh Vertical Append: [[1 2 3] [4 5 6]] @@ -589,6 +640,7 @@ flattened random_float = np.random.random() random_float ``` + ```sh 0.018929887384753874 ``` @@ -598,6 +650,7 @@ flattened random_floats = np.random.random(5) random_floats ``` + ```sh array([0.26392192, 0.35842215, 0.87908478, 0.41902195, 0.78926418]) ``` @@ -608,6 +661,7 @@ flattened random_int = np.random.randint(0, 11) random_int ``` + ```sh 4 ``` @@ -617,6 +671,7 @@ flattened random_int = np.random.randint(2,10, size=4) random_int ``` + ```sh array([8, 8, 8, 2]) ``` @@ -626,18 +681,22 @@ flattened random_int = np.random.randint(2,10, size=(3,3)) random_int ``` + ```sh array([[3, 5, 3], [7, 3, 6], [2, 3, 3]]) ``` + ### Generationg random numbers + ```py # np.random.normal(mu, sigma, size) normal_array = np.random.normal(79, 15, 80) normal_array ``` + ```sh array([ 89.49990595, 82.06056961, 107.21445842, 38.69307086, 47.85259157, 93.07381061, 76.40724259, 78.55675184, @@ -669,6 +728,7 @@ import seaborn as sns sns.set() plt.hist(normal_array, color="grey", bins=50) ``` + ```sh (array([2., 0., 0., 0., 1., 2., 2., 0., 2., 0., 0., 1., 2., 2., 1., 4., 3., 4., 2., 7., 2., 2., 5., 4., 2., 4., 3., 2., 1., 5., 3., 0., 3., 2., @@ -688,14 +748,18 @@ plt.hist(normal_array, color="grey", bins=50) 119.20416383, 120.88147826, 122.5587927 ]), ) ``` + ### Matrix in numpy + ```py four_by_four_matrix = np.matrix(np.ones((4,4), dtype=float)) ``` + ```py four_by_four_matrix ``` + ```sh matrix([[1., 1., 1., 1.], [1., 1., 1., 1.], @@ -707,6 +771,7 @@ matrix([[1., 1., 1., 1.], np.asarray(four_by_four_matrix)[2] = 2 four_by_four_matrix ``` + ```sh matrix([[1., 1., 1., 1.], @@ -715,9 +780,10 @@ matrix([[1., 1., 1., 1.], [1., 1., 1., 1.]]) ``` +### Numpy numpy.arange() -### Numpy numpy.arange() #### What is Arrange? + Sometimes, you want to create values that are evenly spaced within a defined interval. For instance, you want to create values from 1 to 10; you can use numpy.arange() function ```py @@ -725,13 +791,16 @@ Sometimes, you want to create values that are evenly spaced within a defined int lst = range(0, 11, 2) lst ``` + ```python range(0, 11, 2) ``` + ```python for l in lst: print(l) ``` + ```sh 0 2 4 @@ -739,17 +808,18 @@ for l in lst: 8 10 ``` + ```py # Similar to range arange numpy.arange(start, stop, step) whole_numbers = np.arange(0, 20, 1) whole_numbers ``` + ```sh array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]) ``` - ```py natural_numbers = np.arange(1, 20, 1) natural_numbers @@ -759,6 +829,7 @@ natural_numbers odd_numbers = np.arange(1, 20, 2) odd_numbers ``` + ```sh array([ 1, 3, 5, 7, 9, 11, 13, 15, 17, 19]) ``` @@ -767,16 +838,20 @@ odd_numbers even_numbers = np.arange(2, 20, 2) even_numbers ``` + ```sh array([ 2, 4, 6, 8, 10, 12, 14, 16, 18]) ``` + ### Creating sequence of numbers using linspace + ```py # numpy.linspace() # numpy.logspace() in Python with Example # For instance, it can be used to create 10 values from 1 to 5 evenly spaced. np.linspace(1.0, 5.0, num=10) ``` + ```sh array([1. , 1.44444444, 1.88888889, 2.33333333, 2.77777778, 3.22222222, 3.66666667, 4.11111111, 4.55555556, 5. ]) @@ -786,6 +861,7 @@ np.linspace(1.0, 5.0, num=10) # not to include the last value in the interval np.linspace(1.0, 5.0, num=5, endpoint=False) ``` + ``` array([1. , 1.8, 2.6, 3.4, 4.2]) ``` @@ -814,6 +890,7 @@ x = np.array([1,2,3], dtype=np.complex128) ```py x ``` + ```sh array([1.+0.j, 2.+0.j, 3.+0.j]) ``` @@ -832,6 +909,7 @@ np_list = np.array([(1,2,3), (4,5,6)]) np_list ``` + ```sh array([[1, 2, 3], [4, 5, 6]]) @@ -842,6 +920,7 @@ print('First row: ', np_list[0]) print('Second row: ', np_list[1]) ``` + ```sh First row: [1 2 3] @@ -854,13 +933,13 @@ print('Second column: ', np_list[:,1]) print('Third column: ', np_list[:,2]) ``` + ```sh First column: [1 4] Second column: [2 5] Third column: [3 6] ``` - ### NumPy Statistical Functions with Example NumPy has quite useful statistical functions for finding minimum, maximum, mean, median, percentile,standard deviation and variance, etc from the given elements in the array. @@ -877,7 +956,6 @@ Numpy is equipped with the robust statistical function as listed below - Percentile - Standard deviation np.std() - ```python np_normal_dis = np.random.normal(5, 0.5, 100) np_normal_dis @@ -894,8 +972,6 @@ print('sd: ', two_dimension_array.std()) mean: 14.777777777777779 sd: 18.913709183069525 - - ```python min: 1 max: 55 @@ -903,7 +979,6 @@ mean: 14.777777777777779 sd: 18.913709183069525 ``` - ```python print(two_dimension_array) print('Column with minimum: ', np.amin(two_dimension_array,axis=0)) @@ -922,10 +997,8 @@ print('Row with maximum: ', np.amax(two_dimension_array,axis=1)) Row with minimum: [1 4 7] Row with maximum: [ 3 55 9] - ### How to create repeating sequences? - ```python a = [1,2,3] @@ -940,10 +1013,8 @@ print('Repeat: ', np.repeat(a, 2)) Tile: [1 2 3 1 2 3] Repeat: [1 1 2 2 3 3] - ### How to generate random numbers? - ```python # One random number between [0,1) one_random_num = np.random.random() @@ -953,20 +1024,12 @@ print(one_random_num) 0.6149403282678213 - - ```python 0.4763968133790438 ``` - - - 0.4763968133790438 - - - ```python # Random numbers between [0,1) of shape 2,3 r = np.random.random(size=[2,3]) @@ -976,76 +1039,48 @@ print(r) [[0.13031737 0.4429537 0.1129527 ] [0.76811539 0.88256594 0.6754075 ]] - - ```python print(np.random.choice(['a', 'e', 'i', 'o', 'u'], size=10)) ``` ['u' 'o' 'o' 'i' 'e' 'e' 'u' 'o' 'u' 'a'] - - ```python ['i' 'u' 'e' 'o' 'a' 'i' 'e' 'u' 'o' 'i'] ``` - - - ['iueoaieuoi'] - - - ```python ## Random numbers between [0, 1] of shape 2, 2 rand = np.random.rand(2,2) rand ``` - - - array([[0.97992598, 0.79642484], [0.65263629, 0.55763145]]) - - - ```python rand2 = np.random.randn(2,2) rand2 ``` - - - array([[ 1.65593322, -0.52326621], [ 0.39071179, -2.03649407]]) - - - ```python # Random integers between [0, 10) of shape 2,5 rand_int = np.random.randint(0, 10, size=[5,3]) rand_int ``` - - - array([[0, 7, 5], [4, 1, 4], [3, 5, 3], [4, 3, 8], [4, 6, 7]]) - - - ```py from scipy import stats np_normal_dis = np.random.normal(5, 0.5, 1000) # mean, standard deviation, number of samples @@ -1058,6 +1093,7 @@ print('median: ', np.median(np_normal_dis)) print('mode: ', stats.mode(np_normal_dis)) print('sd: ', np.std(np_normal_dis)) ``` + ```sh min: 3.557811005458804 @@ -1074,11 +1110,8 @@ plt.hist(np_normal_dis, color="grey", bins=21) plt.show() ``` - ![png](test_files/test_121_0.png) - - ```python # numpy.dot(): Dot Product in Python using Numpy # Dot Product @@ -1089,10 +1122,9 @@ plt.show() # numpy.dot(x, y, out=None) ``` - ### Linear Algebra -1. Dot Product +1. Dot Product ```python ## Linear algebra @@ -1102,7 +1134,7 @@ g = np.array([4,5,3]) ### 1*4+2*5 + 3*6 np.dot(f, g) # 23 ``` - + ### NumPy Matrix Multiplication with np.matmul() ```python @@ -1112,11 +1144,13 @@ i = [[5,6],[7,8]] ### 1*5+2*7 = 19 np.matmul(h, i) ``` + ```sh array([[19, 22], [43, 50]]) ``` + ```py ## Determinant 2*2 matrix ### 5*8-7*6np.linalg.det(i) @@ -1125,8 +1159,8 @@ np.matmul(h, i) ```python np.linalg.det(i) ``` - -1.999999999999999 + -1.999999999999999 ```python Z = np.zeros((8,8)) @@ -1137,6 +1171,7 @@ Z[::2,1::2] = 1 ```python Z ``` + array([[0., 1., 0., 1., 0., 1., 0., 1.], [1., 0., 1., 0., 1., 0., 1., 0.], [0., 1., 0., 1., 0., 1., 0., 1.], @@ -1149,6 +1184,7 @@ Z ```python new_list = [ x + 2 for x in range(0, 11)] ``` + ```python new_list ``` @@ -1158,13 +1194,15 @@ new_list ```python [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] ``` + [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] ```python np_arr = np.array(range(0, 11)) np_arr + 2 ``` - array([ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) + +array([ 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]) We use linear equation for quatities which have linear relationship. Let's see the example below: @@ -1174,8 +1212,7 @@ pressure = temp * 2 + 5 pressure ``` -array([ 7, 9, 11, 13, 15]) - +array([ 7, 9, 11, 13, 15]) ```python plt.plot(temp,pressure) @@ -1188,10 +1225,8 @@ plt.show() ![png](test_files/test_141_0.png) - To draw the Gaussian normal distribution using numpy. As you can see below, the numpy can generate random numbers. To create random sample, we need the mean(mu), sigma(standard deviation), mumber of data points. - ```python mu = 28 sigma = 15 @@ -1216,4 +1251,5 @@ To summarise, the main differences with python lists are: 1. numpy arrays support boolean indexing. ## 💻 Exercises: Day 24 -1. Repeat all the examples \ No newline at end of file + +1. Repeat all the examples diff --git a/old_files/readme19-21.md b/old_files/readme19-21.md index d9a0f350a..72c910832 100644 --- a/old_files/readme19-21.md +++ b/old_files/readme19-21.md @@ -1,15 +1,15 @@ ![30DaysOfPython](./images/30DaysOfPython_banner3@2x.png) -🧳 [Part 1: Day 1 - 3](https://github.com/Asabeneh/30-Days-Of-Python) -🧳 [Part 2: Day 4 - 6](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme4-6.md) -🧳 [Part 3: Day 7 - 9](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme7-9.md) -🧳 [Part 4: Day 10 - 12](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme10-12.md) -🧳 [Part 5: Day 13 - 15](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme13-15.md) -🧳 [Part 6: Day 16 - 18](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme16-18.md) -🧳 [Part 7: Day 19 - 21](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme19-21.md) -🧳 [Part 8: Day 22 - 24](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme22-24.md) -🧳 [Part 9: Day 25 - 27](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme25-27.md) -🧳 [Part 10: Day 28 - 30](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme28-30.md) +🧳 [Part 1: Day 1 - 3](https://github.com/Asabeneh/30-Days-Of-Python) +🧳 [Part 2: Day 4 - 6](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme4-6.md) +🧳 [Part 3: Day 7 - 9](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme7-9.md) +🧳 [Part 4: Day 10 - 12](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme10-12.md) +🧳 [Part 5: Day 13 - 15](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme13-15.md) +🧳 [Part 6: Day 16 - 18](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme16-18.md) +🧳 [Part 7: Day 19 - 21](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme19-21.md) +🧳 [Part 8: Day 22 - 24](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme22-24.md) +🧳 [Part 9: Day 25 - 27](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme25-27.md) +🧳 [Part 10: Day 28 - 30](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme28-30.md) --- @@ -856,7 +856,7 @@ The folder structure of your package should look like this: Now let's open the python interactive shell and try the package we have created: ```sh asabeneh@Asabeneh:~/Desktop/30DaysOfPython$ python -Python 3.7.5 (default, Nov 1 2019, 02:16:32) +Python 3.7.5 (default, Nov 1 2019, 02:16:32) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> from mypackage import arithmetics @@ -875,10 +875,10 @@ Type "help", "copyright", "credits" or "license" for more information. >>> from mypackage import greet >>> greet.greet_person('Asabeneh', 'Yetayeh') 'Asabeneh Yetayeh, welcome to 30DaysOfPython Challenge!' ->>> +>>> ``` As you can see our package works perfect. The package folder contains a special file called __init__.py which stores the package's content. If we put __init__.py in the package folder, python start recognizes it as a package. -The __init__.py exposes specified resources from its modules to be imported to other python files. An empty __init__.py file makes all functions available when a package is imported. The __init__.py is essential for the folder to be recognized by Python as a package. +The __init__.py exposes specified resources from its modules to be imported to other python files. An empty __init__.py file makes all functions available when a package is imported. The __init__.py is essential for the folder to be recognized by Python as a package. ### Further information about packages @@ -930,8 +930,6 @@ Let's check if everything in python is class: ```py Last login: Tue Dec 10 09:35:28 on console -asabeneh@Asabeneh:~$ pyhton --bash: pyhton: command not found asabeneh@Asabeneh:~$ python Python 3.7.5 (default, Nov 1 2019, 02:16:32) [Clang 11.0.0 (clang-1100.0.33.8)] on darwin @@ -1167,7 +1165,7 @@ Lidiya Teklemariam is 28 year old. He lives in Espoo, Finland. ['Organizing', 'Marketing', 'Digital Marketing'] ``` -We didn't call the _**init**()_ constructor in the child class. If we didn't call it we can access all the properties but if we call it once we access the parent properties by calling _super_. +We didn't call the _**init**()_ constructor in the child class. If we didn't call it we can access all the properties but if we call it once we access the parent properties by calling _super_. We can write add a new method to the child or we can overwrite the parent class by creating the same method name in the child class. When we add the **init**() function, the child class will no longer inherit the parent's **init**() function. ### Overriding parent method @@ -1242,7 +1240,7 @@ Standard Deviation: 4.2 Frequency Distribution: [(20.0, 26), (16.0, 27), (12.0, 32), (8.0, 37), (8.0, 34), (8.0, 33), (8.0, 31), (8.0, 24), (4.0, 38), (4.0, 29), (4.0, 25)] ``` 1. Create a class called PersonAccount. It has firstname, lastname, incomes, expenses properties and it has total_income, total_expense, account_info,add_income, add_expense and account_balance methods. Incomes is a set of incomes and its description and the same goes for expenses. - + [<< Part 6 ](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme16-18.md) | [Part 8 >>](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme22-24.md) ---- \ No newline at end of file +--- diff --git a/old_files/readme25-27.md b/old_files/readme25-27.md index 2570dd989..d1b9583b9 100644 --- a/old_files/readme25-27.md +++ b/old_files/readme25-27.md @@ -1,15 +1,15 @@ ![30DaysOfPython](./images/30DaysOfPython_banner3@2x.png) -🧳 [Part 1: Day 1 - 3](https://github.com/Asabeneh/30-Days-Of-Python) -🧳 [Part 2: Day 4 - 6](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme4-6.md) -🧳 [Part 3: Day 7 - 9](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme7-9.md) -🧳 [Part 4: Day 10 - 12](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme10-12.md) -🧳 [Part 5: Day 13 - 15](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme13-15.md) -🧳 [Part 6: Day 16 - 18](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme16-18.md) -🧳 [Part 7: Day 19 - 21](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme19-21.md) -🧳 [Part 8: Day 22 - 24](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme22-24.md) -🧳 [Part 9: Day 25 - 27](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme25-27.md) -🧳 [Part 10: Day 28 - 30](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme28-30.md) +🧳 [Part 1: Day 1 - 3](https://github.com/Asabeneh/30-Days-Of-Python) +🧳 [Part 2: Day 4 - 6](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme4-6.md) +🧳 [Part 3: Day 7 - 9](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme7-9.md) +🧳 [Part 4: Day 10 - 12](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme10-12.md) +🧳 [Part 5: Day 13 - 15](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme13-15.md) +🧳 [Part 6: Day 16 - 18](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme16-18.md) +🧳 [Part 7: Day 19 - 21](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme19-21.md) +🧳 [Part 8: Day 22 - 24](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme22-24.md) +🧳 [Part 9: Day 25 - 27](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme25-27.md) +🧳 [Part 10: Day 28 - 30](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme28-30.md) - [📘 Day 25](#%f0%9f%93%98-day-25) - [Pandas](#pandas) @@ -83,11 +83,11 @@ Let's see an example of a series: Names pandas Series -![pandas series](images/pandas-series-1.png) +![pandas series](images/pandas-series-1.png) Countries Series -![pandas series](images/pandas-series-2.png) +![pandas series](images/pandas-series-2.png) Cities Series @@ -249,7 +249,7 @@ Pandas data frames can be created in different ways. ```python data = [ - ['Asabeneh', 'Finland', 'Helsink'], + ['Asabeneh', 'Finland', 'Helsink'], ['David', 'UK', 'London'], ['John', 'Sweden', 'Stockholm'] ] @@ -638,7 +638,7 @@ heights 2 74.110105 3 71.730978 4 69.881796 - ... + ... 9995 66.172652 9996 67.067155 9997 63.867992 @@ -666,7 +666,7 @@ weights 2 212.740856 3 220.042470 4 206.349801 - ... + ... 9995 136.777454 9996 170.867906 9997 128.475319 @@ -690,7 +690,7 @@ len(heights) == len(weights) ```python -heights.describe() # give statisical information about height data +heights.describe() # give statistical information about height data ``` @@ -811,9 +811,9 @@ df.describe() # describe can also give statistical information from a datafrom Modifying a DataFrame * We can create a new DataFrame - * We can create a new column and add to DataFrame, - * we can remove an existing column from DataFrame, - * we can modify an existing column from DataFrame, + * We can create a new column and add to DataFrame, + * we can remove an existing column from DataFrame, + * we can modify an existing column from DataFrame, * we can change the data type of column values from DataFrame ### Create a DataFrame @@ -1102,7 +1102,7 @@ def calculate_bmi (): b = w/(h*h) bmi.append(b) return bmi - + bmi = calculate_bmi() ``` @@ -1483,7 +1483,7 @@ df -The person in the first row lives 250 years. It is unlikely for someone to live 250 years. Either it is a typo or the data is cooked. So lets fill that data with average of the columns without including outlier. +The person in the first row lives 250 years. It is unlikely for someone to live 250 years. Either it is a typo or the data is cooked. So lets fill that data with average of the columns without including outlier. mean = (34 + 29)/ 2 @@ -1629,12 +1629,12 @@ df[df['Ages'] < 120] ```python df['Ages'] = df[df['Ages'] > 120] - - + + ``` ## Exercises: Day 25 -1. Read the hacker_ness.csv file from data directory +1. Read the hacker_ness.csv file from data directory 1. Get the first five rows 1. Get the last five rows 1. Get the title column as pandas series @@ -2194,7 +2194,7 @@ Select the free plan ![Mongodb free plan](./images/mongoDB/mongodb-free.png) -Choose the proximate free region and give any name for you cluster. +Choose the proximate free region and give any name for you cluster. ![Mongodb cluster name](./images/mongoDB/mongodb-cluster-name.png) @@ -2768,4 +2768,3 @@ Now, we have deleted the students collection from the database. [<< Part 8 ](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme22-24.md) | [Part 10 >>](https://github.com/Asabeneh/30-Days-Of-Python/blob/master/readme28-30.md) --- - diff --git a/old_files/readme7-9.md b/old_files/readme7-9.md index 6d531e4c2..61fd4d271 100644 --- a/old_files/readme7-9.md +++ b/old_files/readme7-9.md @@ -760,11 +760,11 @@ else: ``` 1. Write a code which give grade to students according to theirs scores: ```sh - 80-100, A - 70-89, B - 60-69, C - 50-59, D - 0 -49, F + 90-100, A + 80-89, B + 70-79, C + 60-69, D + 0-59, F ``` 1. Check if the season is Autumn, Winter, Spring or Summer. If the user input is: September, October or November, the season is Autumn. diff --git a/python_for_web/app.py b/python_for_web/app.py index ecd99411e..7b3b49699 100644 --- a/python_for_web/app.py +++ b/python_for_web/app.py @@ -1,39 +1,42 @@ # let's import the flask from flask import Flask, render_template, request, redirect, url_for -import os # importing operating system module +import os # importing operating system module app = Flask(__name__) # to stop caching static file app.config['SEND_FILE_MAX_AGE_DEFAULT'] = 0 - -@app.route('/') # this decorator create the home route -def home (): +@app.route('/') # this decorator create the home route +def home(): techs = ['HTML', 'CSS', 'Flask', 'Python'] name = '30 Days Of Python Programming' - return render_template('home.html', techs=techs, name = name, title = 'Home') + return render_template('home.html', techs=techs, name=name, title='Home') + @app.route('/about') def about(): name = '30 Days Of Python Programming' - return render_template('about.html', name = name, title = 'About Us') + return render_template('about.html', name=name, title='About Us') + @app.route('/result') def result(): return render_template('result.html') -@app.route('/post', methods= ['GET','POST']) + +@app.route('/post', methods=['GET', 'POST']) def post(): name = 'Text Analyzer' if request.method == 'GET': - return render_template('post.html', name = name, title = name) - if request.method =='POST': + return render_template('post.html', name=name, title=name) + if request.method == 'POST': content = request.form['content'] return redirect(url_for('result')) - + + if __name__ == '__main__': # for deployment # to make it work for both production and development port = int(os.environ.get("PORT", 5000)) - app.run(debug=True, host='0.0.0.0', port=port) \ No newline at end of file + app.run(debug=True, host='0.0.0.0', port=port) diff --git a/readme.md b/readme.md index 58d739a2f..5fdb51a27 100644 --- a/readme.md +++ b/readme.md @@ -1,8 +1,112 @@ +# 🐍 30 Days Of Python + +|# Day | Topics | +|------|:---------------------------------------------------------:| +| 01 | [Introduction](./readme.md)| +| 02 | [Variables, Built-in Functions](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md)| +| 03 | [Operators](./03_Day_Operators/03_operators.md)| +| 04 | [Strings](./04_Day_Strings/04_strings.md)| +| 05 | [Lists](./05_Day_Lists/05_lists.md)| +| 06 | [Tuples](./06_Day_Tuples/06_tuples.md)| +| 07 | [Sets](./07_Day_Sets/07_sets.md)| +| 08 | [Dictionaries](./08_Day_Dictionaries/08_dictionaries.md)| +| 09 | [Conditionals](./09_Day_Conditionals/09_conditionals.md)| +| 10 | [Loops](./10_Day_Loops/10_loops.md)| +| 11 | [Functions](./11_Day_Functions/11_functions.md)| +| 12 | [Modules](./12_Day_Modules/12_modules.md)| +| 13 | [List Comprehension](./13_Day_List_comprehension/13_list_comprehension.md)| +| 14 | [Higher Order Functions](./14_Day_Higher_order_functions/14_higher_order_functions.md)| +| 15 | [Python Type Errors](./15_Day_Python_type_errors/15_python_type_errors.md)| +| 16 | [Python Date time](./16_Day_Python_date_time/16_python_datetime.md) | +| 17 | [Exception Handling](./17_Day_Exception_handling/17_exception_handling.md)| +| 18 | [Regular Expressions](./18_Day_Regular_expressions/18_regular_expressions.md)| +| 19 | [File Handling](./19_Day_File_handling/19_file_handling.md)| +| 20 | [Python Package Manager](./20_Day_Python_package_manager/20_python_package_manager.md)| +| 21 | [Classes and Objects](./21_Day_Classes_and_objects/21_classes_and_objects.md)| +| 22 | [Web Scraping](./22_Day_Web_scraping/22_web_scraping.md)| +| 23 | [Virtual Environment](./23_Day_Virtual_environment/23_virtual_environment.md)| +| 24 | [Statistics](./24_Day_Statistics/24_statistics.md)| +| 25 | [Pandas](./25_Day_Pandas/25_pandas.md)| +| 26 | [Python web](./26_Day_Python_web/26_python_web.md)| +| 27 | [Python with MongoDB](./27_Day_Python_with_mongodb/27_python_with_mongodb.md)| +| 28 | [API](./28_Day_API/28_API.md)| +| 29 | [Building API](./29_Day_Building_API/29_building_API.md)| +| 30 | [Conclusions](./30_Day_Conclusions/30_conclusions.md)| + +🧡🧡🧡 HAPPY CODING 🧡🧡🧡 + +--- +
    +

    💖 Sponsors

    + +

    Our amazing sponsors for supporting my open-source contribution and the 30 Days of Challenge series!

    +

    Current Sponsors

    +
     +
    + +--- + +### 🙌 Become a Sponsor + +You can support this project by becoming a sponsor on **[GitHub Sponsors](https://github.com/sponsors/asabeneh)** or through [PayPal](https://www.paypal.me/asabeneh). + +Every contribution, big or small, makes a huge difference. Thank you for your support! 🌟 + +--- + +
    +

    30 Days Of Python: Day 1 - Introduction

    @@ -12,21 +116,19 @@ Author: Asabeneh Yetayeh
    - First Edition: Nov 22 - Dec 22, 2019 + Second Edition: July, 2021
    -
    +🇧🇷 [Portuguese](./Portuguese/README.md) +🇨🇳 [中文](./Chinese/README.md) -Support [**Asabeneh**](https://www.patreon.com/asabeneh?fan_landing=true) to create more educational materials -[become-asabeneh-patreon](https://www.patreon.com/asabeneh?fan_landing=true) - -
    - -[Day 2 >>](./02_Day_Variables/02_variables.md) +[Day 2 >>](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md) ![30DaysOfPython](./images/30DaysOfPython_banner3@2x.png) +- [🐍 30 Days Of Python](#-30-days-of-python) + - [🙌 Become a Sponsor](#-become-a-sponsor) - [📘 Day 1](#-day-1) - [Welcome](#welcome) - [Introduction](#introduction) @@ -51,54 +153,61 @@ - [Checking Data types](#checking-data-types) - [Python File](#python-file) - [💻 Exercises - Day 1](#-exercises---day-1) + - [Exercise: Level 1](#exercise-level-1) + - [Exercise: Level 2](#exercise-level-2) + - [Exercise: Level 3](#exercise-level-3) # 📘 Day 1 ## Welcome -**Congratulations** for deciding to participate in a _30 days of Python_ programming challenge . In this challenge you will learn everything you need to be a python programmer and the whole concept of programming. In the end of the challenge you will get a _30DaysOfPython_ programming challenge certificate. +**Congratulations** for deciding to participate in a _30 days of Python_ programming challenge. In this challenge, you will learn everything you need to be a python programmer and the whole concept of programming. In the end of the challenge you will get a _30DaysOfPython_ programming challenge certificate. -[Join the telegram channel to get help](https://t.me/ThirtyDaysOfPython) +If you would like to actively engage in the challenge, you may join the [30DaysOfPython challenge](https://t.me/ThirtyDaysOfPython) telegram group. ## Introduction -Python is a high-level programming language for general-purpose programming. It is open source. This 30 days python challenge will help you learn the latest version of Python, Python 3 step by step. The topics are broken down into 30 days, where each day contains several topics with easy-to-understand explanations, real-world examples and many hands on exercises. +Python is a high-level programming language for general-purpose programming. It is an open source, interpreted, object-oriented programming language. Python was created by a Dutch programmer, Guido van Rossum. The name of the Python programming language was derived from a British sketch comedy series, *Monty Python's Flying Circus*. The first version was released on February 20, 1991. This 30 days of Python challenge will help you learn the latest version of Python, Python 3 step by step. The topics are broken down into 30 days, where each day contains several topics with easy-to-understand explanations, real-world examples, and many hands on exercises and projects. + +This challenge is designed for beginners and professionals who want to learn python programming language. It may take 30 to 100 days to complete the challenge. People who actively participate in the telegram group have a high probability of completing the challenge. + +This challenge is easy to read, written in conversational English, engaging, motivating and at the same time, it is very demanding. You need to allocate much time to finish this challenge. If you are a visual learner, you may get the video lesson on Washera YouTube channel. You may start from [Python for Absolute Beginners video](https://youtu.be/OCCWZheOesI). Subscribe the channel, comment and ask questions on YouTube videos and be proactive, the author will eventually notice you. -This challenge is designed for beginners and professionals who want to learn python programming language. +The author likes to hear your opinion about the challenge, share the author by expressing your thoughts about the 30DaysOfPython challenge. You can leave your testimonial on this [link](https://www.asabeneh.com/testimonials) ## Why Python ? -It is a programming language which is very close to human language and because of that it is easy to learn and easy to use. -Python is used by various industries and companies (including Google). It has been used to develop web applications, desktop applications, system adminstration, and machine learning libraries. Python is highly embraced language in the data science and machine learning community. I hope this is enough to convince you to start learning python. Python is eating the world and you are killing it before it eats you. +It is a programming language which is very close to human language and because of that, it is easy to learn and use. +Python is used by various industries and companies (including Google). It has been used to develop web applications, desktop applications, system administration, and machine learning libraries. Python is a highly embraced language in the data science and machine learning community. I hope this is enough to convince you to start learning Python. Python is eating the world and you are killing it before it eats you. ## Environment Setup ### Installing Python To run a python script you need to install python. Let's [download](https://www.python.org/) python. -If your are a windows user. Click the button encircled in red. +If your are a windows user, click the button encircled in red. [![installing on Windows](./images/installing_on_windows.png)](https://www.python.org/) -If you are a macOS user. Click the button encircled in red. +If you are a macOS user, click the button encircled in red. [![installing on Windows](./images/installing_on_macOS.png)](https://www.python.org/) To check if python is installed write the following command on your device terminal. ```shell -python --version +python3 --version ``` ![Python Version](./images/python_versio.png) -As you can see from the terminal, I am using _python 3.7.5_ version at the moment. If you mange to see the python version, well done. Python has been installed on your machine. Continue to the next section. +As you can see from the terminal, I am using _Python 3.7.5_ version at the moment. Your version of Python might be different from mine by but it should be 3.6 or above. If you manage to see the python version, well done. Python has been installed on your machine. Continue to the next section. ### Python Shell -Python is an interpreted scripting language, so it doesn't need to be compiled. It means it executes the code line by line. Python comes with a _Python Shell (Python Interactive Shell)_. It is used to execute a single python command and get the result. +Python is an interpreted scripting language, so it does not need to be compiled. It means it executes the code line by line. Python comes with a _Python Shell (Python Interactive Shell)_. It is used to execute a single python command and get the result. -Python Shell waits for the python code from the user. When you enter the code, it interprets the code and shows the result in the next line. +Python Shell waits for the Python code from the user. When you enter the code, it interprets the code and shows the result in the next line. Open your terminal or command prompt(cmd) and write: ```shell @@ -107,48 +216,51 @@ python ![Python Scripting Shell](./images/opening_python_shell.png) -The python interactive shell is opened and it is waiting for you to write python code. You will write your python script next to this symbol >>> and then click Enter. -Lets write our very first script on the python scripting shell. +The Python interactive shell is opened and it is waiting for you to write Python code(Python script). You will write your Python script next to this symbol >>> and then click Enter. +Let us write our very first script on the Python scripting shell. -![Python script on python shell](./images/adding_on_python_shell.png) +![Python script on Python shell](./images/adding_on_python_shell.png) -Well done, you wrote your first python script on python interactive shell. How do we close this shell ? -To close the shell, next to this symbol >> write **exit()** command and press Enter. +Well done, you wrote your first Python script on Python interactive shell. How do we close the Python interactive shell ? +To close the shell, next to this symbol >>> write **exit()** command and press Enter. ![Exit from python shell](./images/exit_from_shell.png) -Now, you know how to open the python interactive shell and how to exit from it. +Now, you know how to open the Python interactive shell and how to exit from it. -Python will give you results if you write scripts that python understands, if not it returns errors. Let's make a deliberate mistake and see what python will return. +Python will give you results if you write scripts that Python understands, if not it returns errors. Let's make a deliberate mistake and see what Python will return. ![Invalid Syntax Error](./images/invalid_syntax_error.png) -As you can see from the returned error, python is so clever that it knows the mistake we made and which was _Syntax Error: invalid syntax_. Using x as multiplication in python is a syntax error because (x) is not a valid syntax in python. Instead of (**x**) we use asterisk (*) for multiplication. The returned error clearly shows what to fix. -The process of identifying and removing errors from a program is called *debugging*. Let's debug it by putting * in place of **x**. +As you can see from the returned error, Python is so clever that it knows the mistake we made and which was _Syntax Error: invalid syntax_. Using x as multiplication in Python is a syntax error because (x) is not a valid syntax in Python. Instead of (**x**) we use asterisk (*) for multiplication. The returned error clearly shows what to fix. + +The process of identifying and removing errors from a program is called _debugging_. Let us debug it by putting * in place of **x**. ![Fixing Syntax Error](./images/fixing_syntax_error.png) -Our bug was fixed, the code ran and we got a result we were expecting. As a programmer you will see such kind of errors on daily basis. It is good to know how to debug. To be good at debugging you should understand what kind of errors you are facing:SyntaxError, IndexError, ModuleNotFoundError, KeyError, ImportError etc. We will see more about different python **_error types_** in later sections. +Our bug was fixed, the code ran and we got a result we were expecting. As a programmer you will see such kind of errors on daily basis. It is good to know how to debug. To be good at debugging you should understand what kind of errors you are facing. Some of the Python errors you may encounter are _SyntaxError_, _IndexError_, _NameError_, _ModuleNotFoundError_, _KeyError_, _ImportError_, _AttributeError_, _TypeError_, _ValueError_, _ZeroDivisionError_ etc. We will see more about different Python **_error types_** in later sections. -Let's practice more how to use python interactive shell. Go to your terminal or command prompt and write the word **python**. +Let us practice more how to use Python interactive shell. Go to your terminal or command prompt and write the word **python**. ![Python Scripting Shell](./images/opening_python_shell.png) -The python interactive shell is opened. Let's do some basic mathematic operations (addition, subtraction, multiplication, division, modulus, exponential). -Lets do some maths first before we write any python code: +The Python interactive shell is opened. Let us do some basic mathematical operations (addition, subtraction, multiplication, division, modulus, exponentiation). + +Let us do some maths first before we write any Python code: - 2 + 3 = 5 - 3 - 2 = 1 - 3 \* 2 = 6 - 3 / 2 = 1.5 -- 3 ^ 2 = 3 x 3 = 9 +- 3 \*\* 2 = 3 x 3 = 9 -In python we have the following additional operations: +In python, we have the following additional operations: - 3 % 2 = 1 => which means finding the remainder - 3 // 2 = 1 => which means removing the remainder -Lets change the above mathematical expressions to code. The python shell has been opened and lets write a comment at the very beginning of the shell. +Let us change the above mathematical expressions to Python code. The Python shell has been opened and let us write a comment at the very beginning of the shell. + A _comment_ is a part of the code which is not executed by python. So we can leave some text in our code to make our code more readable. Python does not run the comment part. A comment in python starts with hash(#) symbol. This is how you write a comment in python @@ -159,17 +271,18 @@ This is how you write a comment in python ![Maths on python shell](./images/maths_on_python_shell.png) -Before we move on to the next section, lets practice more on the python interactive shell. Close the opened shell by writing _exit()_ on the shell and open it again and let's practice how to write text on the python shell. +Before we move on to the next section, let us practice more on the Python interactive shell. Close the opened shell by writing _exit()_ on the shell and open it again and let us practice how to write text on the Python shell. ![Writing String on python shell](./images/writing_string_on_shell.png) ### Installing Visual Studio Code -The python interactive shell is good to try and test small script codes but it won't be for a big project. In real work environment, developers use different code editors to write codes. In this 30 days of python programming challenge we will use visual studio code. Visual studio code is a very popular open source text editor. I am a fan of vscode and I would recommend to [download](https://code.visualstudio.com/) visual studio code, but if you are in favor of other editors, feel free to follow with what you have. +The Python interactive shell is good to try and test small script codes but it will not be for a big project. In real work environment, developers use different code editors to write codes. In this 30 days of Python programming challenge, we will use Visual Studio Code. Visual Studio Code is a very popular open source text editor. I am a fan of vscode and I would recommend to [download](https://code.visualstudio.com/) visual studio code, but if you are in favor of other editors, feel free to follow with what you have. [![Visual Studio Code](./images/vscode.png)](https://code.visualstudio.com/) -If you installed visual studio code, let's see how to use it. +If you installed visual studio code, let us see how to use it. +If you prefer a video, you can follow this Visual Studio Code for Python [Video tutorial](https://www.youtube.com/watch?v=bn7Cx4z-vSo) #### How to use visual studio code @@ -183,7 +296,7 @@ Create a folder named 30DaysOfPython on your desktop. Then open it using visual ![Opening a project](./images/opening_project.png) -After opening it you will see shortcuts for creating files and folders inside of 30DaysOfPython project's directory. As you can see below, I have created the very first file, helloworld.py. You can do the same. +After opening it, you will see shortcuts for creating files and folders inside of 30DaysOfPython project's directory. As you can see below, I have created the very first file, `helloworld.py`. You can do the same. ![Creating a python file](./images/helloworld.png) @@ -191,24 +304,23 @@ After a long day of coding, you want to close your code editor, right? This is h ![Closing project](./images/closing_opened_project.png) -Congratulations, you have finished setting up the development environment. Let's start coding. +Congratulations, you have finished setting up the development environment. Let us start coding. ## Basic Python ### Python Syntax -A python script can be written in python interactive shell or in the code editor. A python file has an extension .py. +A Python script can be written in Python interactive shell or in the code editor. A Python file has an extension .py. ### Python Indentation -An indentation is a white space in a text. Indentation in many languages is used to increase code readability, however python uses indentation to create block of codes. In other programming languages curly brackets are used to create blocks of codes instead of indentation. One of the common bugs when writing python code is wrong indentation. +An indentation is a white space in a text. Indentation in many languages is used to increase code readability; however, Python uses indentation to create blocks of code. In other programming languages, curly brackets are used to create code blocks instead of indentation. One of the common bugs when writing Python code is incorrect indentation. ![Indentation Error](./images/indentation.png) ### Comments -Comments are very important to make the code more readable and to leave remarks in our code. Python doesn't run comment parts of our code. -Any text starting with hash(#) in python is a comment. +Comments play a crucial role in enhancing code readability and allowing developers to leave notes within their code. In Python, any text preceded by a hash (#) symbol is considered a comment and is not executed when the code runs. **Example: Single Line Comment** @@ -231,7 +343,7 @@ python is eating the world ### Data types -In python there are several types of data types. Let's get started with the most common ones. Different data types will be covered in detail in other sections. For the time being let us just go through the different data types and get familiar with them. You do not have to have a clear understanding now. +In Python there are several types of data types. Let us get started with the most common ones. Different data types will be covered in detail in other sections. For the time being, let us just go through the different data types and get familiar with them. You do not have to have a clear understanding now. #### Number @@ -256,7 +368,7 @@ A collection of one or more characters under a single or double quote. If a stri 'Finland' 'Python' 'I love teaching' -'I hope you are enjoying the first day' +'I hope you are enjoying the first day of 30DaysOfPython Challenge' ``` #### Booleans @@ -278,19 +390,26 @@ Python list is an ordered collection which allows to store different data type i ```py [0, 1, 2, 3, 4, 5] # all are the same data types - a list of numbers -['Banana', 'Orange', 'Mango', 'Avocado'] # all the same data types - a list of strings (fruits!) -['Finland','Estonia', 'Sweden','Norway'] # all the same data types - a list of strings (countries!) +['Banana', 'Orange', 'Mango', 'Avocado'] # all the same data types - a list of strings (fruits) +['Finland','Estonia', 'Sweden','Norway'] # all the same data types - a list of strings (countries) ['Banana', 10, False, 9.81] # different data types in the list - string, integer, boolean and float ``` #### Dictionary -A python dictionary object is an unordered collection of data in a key:value pair format. +A Python dictionary object is an unordered collection of data in a key value pair format. **Example:** ```py -{'name':'Asabeneh', 'country':'Finland', age:250, 'is_married':True} +{ +'first_name':'Asabeneh', +'last_name':'Yetayeh', +'country':'Finland', +'age':250, +'is_married':True, +'skills':['JS', 'React', 'Node', 'Python'] +} ``` #### Tuple @@ -300,18 +419,23 @@ A tuple is an ordered collection of different data types like list but tuples ca **Example:** ```py -('Asabeneh', 'Brook', 'Abraham', 'Lidiya') +('Asabeneh', 'Pawel', 'Brook', 'Abraham', 'Lidiya') # Names +``` + +```py +('Earth', 'Jupiter', 'Neptune', 'Mars', 'Venus', 'Saturn', 'Uranus', 'Mercury') # planets ``` #### Set -A set is a collection of data types similar to list and tuple. Unlike list and tuple, set is not an ordered collection of items. Like in mathematics, set in python stores only unique items. +A set is a collection of data types similar to list and tuple. Unlike list and tuple, set is not an ordered collection of items. Like in Mathematics, set in Python stores only unique items. -In later sections, we will go in detail about each and every python data type. +In later sections, we will go in detail about each and every Python data type. **Example:** ```py +{2, 4, 3, 5} {3.14, 9.81, 2.7} # order is not important in set ``` @@ -324,11 +448,12 @@ To check the data type of certain data/variable we use the **type** function. In ### Python File First open your project folder, 30DaysOfPython. If you don't have this folder, create a folder name called 30DaysOfPython. Inside this folder, create a file called helloworld.py. Now, let's do what we did on python interactive shell using visual studio code. -The python interactive shell was printing without using **print** but on visual studio code to see our result we should use a built in function **print(some data to print)**. See the examples below. + +The Python interactive shell was printing without using **print** but on visual studio code to see our result we should use a built in function _print()_. The _print()_ built-in function takes one or more arguments as follows _print('arument1', 'argument2', 'argument3')_. See the examples below. **Example:** -The file name is helloworld.py +The file name is `helloworld.py` ```py # Day 1 - 30DaysOfPython Challenge @@ -352,16 +477,18 @@ print(type({9.8, 3.14, 2.7})) # Set print(type((9.8, 3.14, 2.7))) # Tuple ``` -To run the python file check the image below. You can run the python file either by running the green button or by typing *python helloworld.py* in the terminal . +To run the python file check the image below. You can run the python file either by running the green button on Visual Studio Code or by typing _python helloworld.py_ in the terminal . ![Running python script](./images/running_python_script.png) -🌕 You are amazing. You have just completed day 1 challenge and you are on your way to greatness. Now do some exercises for your brain and for your muscle. +🌕 You are amazing. You have just completed day 1 challenge and you are on your way to greatness. Now do some exercises for your brain and muscles. ## 💻 Exercises - Day 1 +### Exercise: Level 1 + 1. Check the python version you are using -2. Open the python interactive shell and do the following operations. The operands are 3 and 4. Check the example above +2. Open the python interactive shell and do the following operations. The operands are 3 and 4. - addition(+) - subtraction(-) - multiplication(\*) @@ -383,8 +510,16 @@ To run the python file check the image below. You can run the python file either - Your name - Your family name - Your country -5. Create a folder named day_1 inside 30DaysOfPython folder. Inside day_1 folder, create a python file helloword.py and repeat questions 1, 2, 3 and 4. Remember to use _print()_ when you are working on a python file. Navigate to the directory where you have saved your file, and run it. + +### Exercise: Level 2 + +1. Create a folder named day_1 inside 30DaysOfPython folder. Inside day_1 folder, create a python file helloworld.py and repeat questions 1, 2, 3 and 4. Remember to use _print()_ when you are working on a python file. Navigate to the directory where you have saved your file, and run it. + +### Exercise: Level 3 + +1. Write an example for different Python data types such as Number(Integer, Float, Complex), String, Boolean, List, Tuple, Set and Dictionary. +2. Find an [Euclidean distance](https://en.wikipedia.org/wiki/Euclidean_distance#:~:text=In%20mathematics%2C%20the%20Euclidean%20distance,being%20called%20the%20Pythagorean%20distance.) between (2, 3) and (10, 8) 🎉 CONGRATULATIONS ! 🎉 -[Day 2 >>](./02_Day_Variables/02_variables.md) \ No newline at end of file +[Day 2 >>](./02_Day_Variables_builtin_functions/02_variables_builtin_functions.md)