diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 00000000..93216055
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+    "python.pythonPath": "C:\\Users\\Tyler\\AppData\\Local\\Programs\\Python\\Python37-32\\python.exe"
+}
\ No newline at end of file
diff --git a/README b/README
deleted file mode 100644
index e69de29b..00000000
diff --git a/Requests.md b/Requests.md
new file mode 100644
index 00000000..6a080ba8
--- /dev/null
+++ b/Requests.md
@@ -0,0 +1,76 @@
+# Python3 Requests Module Examples
+This file contains examples for different actions using the Requests III module. All examples are Python3.
+
+## https://3.python-requests.org/user/quickstart
+
+### Download Images
+```python3
+r = requests.get('https://imgs.xkcd.com/comics/python.png')
+
+with open('img.jpg', 'wb') as f:
+  for chunk in r.iter_content(chunk_size=128):
+    f.write(chunk)
+```
+
+### Save Responses in JSON Dictionary
+```python3
+payload = {'username': 'corey', 'password': 'testing'}
+r = requests.post('https://httpbin.org/post', data=payload)
+
+r_dict = r.json() #Saves JSON response as a dictionary
+
+print(r_dict['form']) #Retrieve particular value
+```
+
+### Timeout in Seconds - Should be used for production code
+```python3
+requests.get('https://github.com/', timeout=0.001)
+```
+
+### Errors and Exceptions
+
+In the event of a network problem (e.g. DNS failure, refused connection, etc), Requests will raise a **```ConnectionError```** exception.
+**```Response.raise_for_status()```** will raise an **```HTTPError```** if the HTTP request returned an unsuccessful status code.
+If a request times out, a **```Timeout```** exception is raised.
+If a request exceeds the configured number of maximum redirections, a **```TooManyRedirects```** exception is raised.
+
+### Web Scraper with Request and BeautifulSoup4
+```python3
+from bs4 import BeautifulSoup
+import requests
+import csv
+
+source = requests.get('http://coreyms.com').text
+
+soup = BeautifulSoup(source, 'lxml')
+
+csv_file = open('cms_scrape.csv', 'w')
+
+csv_writer = csv.writer(csv_file)
+csv_writer.writerow(['headline', 'summary', 'video_link'])
+
+for article in soup.find_all('article'):
+    headline = article.h2.a.text
+    print(headline)
+
+    summary = article.find('div', class_='entry-content').p.text
+    print(summary)
+
+    try:
+        vid_src = article.find('iframe', class_='youtube-player')['src']
+
+        vid_id = vid_src.split('/')[4]
+        vid_id = vid_id.split('?')[0]
+
+        yt_link = f'https://youtube.com/watch?v={vid_id}'
+    except Exception as e:
+        yt_link = None
+
+    print(yt_link)
+
+    print()
+
+    csv_writer.writerow([headline, summary, yt_link])
+
+csv_file.close()
+```
diff --git a/challenge1.py b/challenge1.py
new file mode 100644
index 00000000..b4363007
--- /dev/null
+++ b/challenge1.py
@@ -0,0 +1,19 @@
+# Question 1
+# Level 1
+
+# Question:
+# Write a program which will find all such numbers which are divisible by 7 but are not a multiple of 5,
+# between 2000 and 3200 (both included).
+# The numbers obtained should be printed in a comma-separated sequence on a single line.
+
+
+for i in range(2000, 32001):
+    if i%7 == 0 and i%5 != 0:
+        print(i, end=',')
+
+
+
+
+
+
+
diff --git a/challenge2.py b/challenge2.py
new file mode 100644
index 00000000..ee98b421
--- /dev/null
+++ b/challenge2.py
@@ -0,0 +1,26 @@
+# Question 2
+# Level 1
+
+# Question:
+# Write a program which can compute the factorial of a given numbers.
+# The results should be printed in a comma-separated sequence on a single line.
+# Suppose the following input is supplied to the program:
+# 8
+# Then, the output should be:
+# 40320
+
+number = int(input("What number? "))
+total = number
+for i in range((number-1), 1, -1):
+    total *= i
+
+print('Total = ' + str(total))
+
+#other solution
+def fact(x):
+    if x == 0:
+        return 1
+    return x * fact(x - 1)
+
+x=int(input())
+print (fact(x))
\ No newline at end of file
diff --git a/challenge3.py b/challenge3.py
new file mode 100644
index 00000000..6924e227
--- /dev/null
+++ b/challenge3.py
@@ -0,0 +1,20 @@
+# Question 3
+# Level 1
+
+# Question:
+# With a given integral number n, write a program to generate a dictionary that contains (i, i*i) such that is an integral number between 1 and n (both included). and then the program should print the dictionary.
+# Suppose the following input is supplied to the program:
+# 8
+# Then, the output should be:
+# {1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49, 8: 64}
+
+a = {}
+
+def todict(x):
+    for i in range(1, (x+1)):
+        a[i] = i*i
+    print (a)
+
+number = int(input("Number: "))
+
+todict(number)
diff --git a/challenge4.py b/challenge4.py
new file mode 100644
index 00000000..82f498fa
--- /dev/null
+++ b/challenge4.py
@@ -0,0 +1,21 @@
+# Question 4
+# Level 1
+
+# Question:
+# Write a program which accepts a sequence of comma-separated numbers from console and generate a list and a tuple which contains every number.
+# Suppose the following input is supplied to the program:
+# 34,67,55,33,12,98
+# Then, the output should be:
+# ['34', '67', '55', '33', '12', '98']
+# ('34', '67', '55', '33', '12', '98')
+
+txt = input('Enter string: ')
+
+x = txt.split(',')
+y = tuple(x)
+
+print(x[:2])
+print(x[2:])
+print(x[:-2])
+print(x[0:2])
+print(y)
\ No newline at end of file
diff --git a/python contents.docx b/python contents.docx
deleted file mode 100644
index 184715d8..00000000
Binary files a/python contents.docx and /dev/null differ
diff --git a/python contents.txt b/python contents.txt
deleted file mode 100644
index db6c7e86..00000000
--- a/python contents.txt	
+++ /dev/null
@@ -1,188 +0,0 @@
-Python
-The below table largely covers the TOC for 5 popular books. Learning Python (Fourth Edition) has a more in-depth look at concepts than any of the other books. However this book also does not essentially cover some aspects that are covered in other books.
-No.	Diving into Python	The Python Standard Library by Example	Python Essential Reference (4th edition)	The Quick Python Book	Learning Python
-Introductory Concepts covering installation on different OS, version history, interpreter. This section also covers questions like Why, Who, What and Where on Python.
-1	1.	Installing Python
-2.	Which Python is right for you ?
-3.	Python & your OS
-4.	Interactive Shell
-5.	Summary	1.	Introduction (Text)	1.	Tutorial Introduction
-2.	Lexical Conventions and Syntax	1.	About Python
-2.	Getting Started	1.	Python Q & A Session
-1.	Why do people use Python ?
-2.	Downside of using it
-3.	Who uses Python Today ?
-4.	What Can I do with Python ?
-5.	Python vs Language X
-6.	Test your Knowledge
-2.	How Python runs programs
-1.	Python Interpreter
-2.	Program Execution
-1.	Programmer View
-2.	Python View
-3.	Execution Model Variations
-1.	Implementation Alternatives
-2.	Execution Optimization Tools
-3.	Frozen Binaries
-3.	How you run programs
-1.	Interactive prompt
-2.	Your first script
-<snipped>
-Python Object Types, Numeric Types, Data Structures, Control Structures, Scopes and Arguments
-2	1.	Your first program
-2.	Declaring Functions
-3.	Python Data types vs Other Languages
-4.	Documenting Functions
-5.	Everything is an Object
-6.	The Import Search Path
-7.	What is an Object ?
-8.	Indenting Code
-9.	Testing Modules
-10.	Native Datatypes
-1.	Dictionaries
-2.	List
-3.	Tuples
-11.	Variables & referencing	1.	Data Structures	1.	Types and Objects
-2.	Operators and Expressions
-3.	Program Structure and Control Flow
-4.	Functions and Functional Programming
-5.	Classes and Object Oriented Programming
-6.	Modules, Packages and Distribution
-7.	Input and Output
-8.	Execution Environment
-9.	Testing, Debugging, Profiling and Tuning
-<Covered further along in the book>
-Data Structures, Algorithms & Code simplification
-String & Text Handling	1.	Python Overview
-1.	Built-in Data types
-2.	Control Structures
-3.	Module
-4.	OOPs
-2.	Basics
-1.	Lists
-2.	Dictionaries
-3.	Tuple
-4.	Sets
-5.	Strings
-6.	Control Flow
-3.	Functions
-4.	Modules and Scoping Rules
-5.	Python Programs	1.	Introducing Python Object Types
-1.	Why use built-in Types ?
-2.	Core data types
-3.	Numbers, Lists, Dictionaries, Tuples, Files, Other Core Types
-4.	User Defined Classes
-2.	Numeric Types
-1.	Literals, Built-in tools, expression operators
-2.	Formats, Comparisons, Division, Precision
-3.	Complex Numbers
-4.	Hexadecimal, Octal & Binary
-5.	Bitwise Operations
-6.	Decimal, Fraction, Sets, Booleans
-<Covered further along in the book>
-1.	Statements & Syntax
-2.	Assignments, Expressions & Syntax
-3.	If Tests & Syntax Rules
-4.	Scopes
-5.	Arguments
-Built-in functions, Function Design, Recursive Functions, Introspection, Annotations, Lambda, Filter and Reduce
-3	1.	Power of Introspection
-1.	Optional and Named Arguments
-2.	type, str, dir and other built-in functions
-3.	Object References with getattr
-4.	Filtering Lists
-5.	Lambda Functions
-6.	Real world Lambda functions
- 	None	1.	Built-in functions
-2.	Python run-time services	None	Built-in functions are covered as part of the topic above but from a numeric perspective
-1.	Advanced Function Topics
-1.	Function Design
-2.	Recursive Functions
-3.	Attributes and Annotation
-4.	Lambda
-5.	Mapping Functions over sequences
-6.	Filter and Reduce
-<Covered further along in the book>
-Special Class Attributes
-Display Tool
-OOPS, Modules
-4	1.	Objects and Object Orientation
-1.	Importing Modules
-2.	Defining Classes
-3.	Initializing and Coding Classes
-4.	Self & __init__
-5.	Instantiating Classes
-6.	Garbage Collection
-7.	Wrapper Classes
-8.	Special Class Methods
-9.	Advanced Class Methods
-10.	Class Attributes
-11.	Private Functions	None	Covered partially section 2	1.	Packages
-2.	Data Types and Objects
-3.	Advanced Object Oriented Features	1.	Modules
-1.	Why use Modules ?
-2.	Program Architecture
-3.	Module Search Path
-4.	Module Creation & Usage
-5.	Namespaces
-6.	Reloading Modules
-7.	Packages
-2.	Advanced Module Topics
-1.	Data Hiding in Modules
-2.	as Extension for import and from
-3.	Modules are Objects: Metaprograms
-4.	Transitive Module Reloads
-5.	Module Design Concepts
-6.	Module Gotchas
-3.	OOP
-1.	Why use classes ?
-2.	Classes & Instances
-3.	Attribute Inheritance Search
-4.	Class Method Calls
-5.	Class Trees
-6.	Class Objects & Default Behavior
-7.	Instance Objects are Concrete Items
-8.	Intercepting Python Operators
-9.	Classes Vs. Dictionaries
-10.	Class customization by Inheritance
-11.	Operator Overloading
-12.	Subclasses
-13.	Polymorphism in Action
-14.	Designing with Classes
-15.	Mix-in Classes
-Advanced Class Topics
-5	None	None	None	None	1.	Advanced Class Topics
-1.	Extending Types by Embedding
-2.	Extending Types by Subclassing
-3.	Static and Class Methods
-4.	Decorators and Metaclasses
-5.	Class Gotchas
-Exceptions
-6	1.	Exceptions and File Handling
-1.	Handling Exceptions
-2.	Using exceptions for other purposes	 	 	1.	Exceptions	1.	Exceptions Basics
-1.	Why use Exceptions ?
-2.	Default Exception Handler
-3.	User-Defined Exceptions
-4.	Class Based Exceptions
-5.	Designing with Exceptions
-XML, HTTP, SOAP, Network Programming, I18N, Unicode
-7	1.	Regular Expressions
-2.	Parsing / Processing Mark-up languages (HTML, XML)
-1.	Unicode
-3.	HTTP Web Services
-1.	Headers
-2.	Debugging
-4.	SOAP Web Services	1.	Networking
-2.	Internet
-3.	Email
-4.	Internationalization and Localization	1.	Network Programming and Sockets
-2.	Internet Application Programming
-3.	Web Programming
-4.	Internet Data Handling & Encoding	1.	Network, web programming	1.	Unicode and Bytes Strings
-Miscellaneous
-8	None	1.	Algorithms
-2.	Cryptography
-3.	Data compression and archiving
-4.	Processes and Threads
-5.	Data persistence & exchange	1.	Extending & Embedding Python	1.	GUI	None