Top 9 Recommended Python Self-Study Materials! [November 2024]

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• Turtle

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• Tkinter

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1. Day 1 - Beginner - Working with Variables in Python to Manage Data
2. What you're going to get from this course
3. START HERE
4. Downloadable Resources and Tips for Taking the Course
5. Day 1 Goals: what we will make by the end of the day
6. Download and Setup PyCharm for Learning
7. Printing to the Console in Python
8. Printing Practice
9. String Manipulation and Code Intelligence
10. Debugging Practice
11. The Python Input Function
12. Python Variables
13. Variables
14. Variable Naming
15. Variable Naming Quiz
16. Day 1 Project: Band Name Generator
17. Congratulations! Well done!
18. Day 2 - Beginner - Understanding Data Types and How to Manipulate Strings
19. Day 2 Goals: what we will make by the end of the day
20. Python Primitive Data Types
21. Data Types Quiz
22. Type Error, Type Checking and Type Conversion
23. Mathematical Operations in Python
24. BMI Calculator
25. Number Manipulation and F Strings in Python
26. Mathematical Operations Quiz
27. Day 2 Project: Tip Calculator
28. You are already in the top 50%
29. Day 3 - Beginner - Control Flow and Logical Operators
30. Day 3 Goals: what we will make by the end of the day
31. Get Access to the Monthly App Brewery Newsletter
32. Control Flow with if / else and Conditional Operators
33. Introducing the Modulo
34. Nested if statements and elif statements
35. BMI Calculator with Interpretations
36. Multiple If Statements in Succession
37. Pizza Order Practice
38. Logical Operators
39. Logical Operators Quiz
40. Day 3 Project: Treasure Island
41. Share and Show off your Project!
42. Day 4 - Beginner - Randomisation and Python Lists
43. Day 4 Goals: what we will make by the end of the day
44. Random Module
45. Understanding the Offset and Appending Items to Lists
46. Who will pay the bill?
47. IndexErrors and Working with Nested Lists
48. List and IndexError Quiz
49. Day 4 Project: Rock Paper Scissors
50. Programming is like going to the Gym
51. Day 5 - Beginner - Python Loops
52. Day 5 Goals: what we will make by the end of the day
53. Using the for loop with Python Lists
54. Highest Score
55. for loops and the range() function
56. FizzBuzz
57. Day 5 Project: Create a Password Generator
58. Hard Work and Perseverance beats Raw Talent Every Time
59. Day 6 - Beginner - Python Functions & Karel
60. Day 6 Goals: what we will make by the end of the day
61. Defining and Calling Python Functions
62. The Hurdles Loop Challenge
63. Indentation in Python
64. Code Indentation Quiz
65. While Loops
66. Hurdles Challenge using While Loops
67. Jumping over Hurdles with Variable Heights
68. Final Project: Escaping the Maze
69. Why is this *so* Hard?! Can I really do this?
70. Day 7 - Beginner - Hangman
71. Day 7 Goals: what we will make by the end of the day
72. How to break a Complex Problem down into a Flow Chart
73. Step 1 - Picking a Random Words and Checking Answers
74. Step 2 - Replacing Blanks with Guesses
75. Step 3 - Checking if the Player has Won
76. Step 4 - Keeping Track of the Player's Lives
77. Step 5 - Improving the User Experience
78. The Benefits of Daily Practice
79. Day 8 - Beginner - Function Parameters & Caesar Cipher
80. Day 8 Goals: what we will make by the end of the day
81. Functions with Inputs
82. Life in Weeks
83. Positional vs. Keyword Arguments
84. Love Calculator
85. Caesar Cipher Part 1 - Encryption
86. Caesar Cipher Part 2 - Decryption
87. Caesar Cipher Part 3 - Reorganising our Code
88. How You Can *Stay* Motivated
89. Day 9 - Beginner - Dictionaries, Nesting and the Secret Auction
90. Day 9 Goals: what we will make by the end of the day
91. The Python Dictionary: Deep Dive
92. Grading Program
93. Nesting Lists and Dictionaries
94. Python Dictionaries Quiz
95. The Secret Auction Program Instructions and Flow Chart
96. Motivation and the Accountability Trick
97. Day 10 - Beginner - Functions with Outputs
98. Day 10 Goals: what we will make by the end of the day
99. Functions with Outputs
100. Multiple return values
101. Leap Year
102. Docstrings
103. Functions Quiz
104. The Calculator Project
105. How to Get a Good Night's Sleep
106. Day 11 - Beginner - The Blackjack Capstone Project
107. Day 11 Goals: what we will make by the end of the day
108. Blackjack Program Requirements and Game Rules
109. Hint 4 & 5 Solution Walkthrough
110. Hint 6-8 Solution Walkthrough
111. Hint 9 Solution Walkthrough: Refactoring and calling calculate_score()
112. Hint 10-12 Solution Walkthrough
113. Hint 13 Solution Walkthrough
114. A Solid Foundation goes a Long Way
115. Day 12 - Beginner - Scope & Number Guessing Game
116. Day 12 Goals: What we'll make by the end of the day
117. Namespaces: Local vs. Global Scope
118. Does Python Have Block Scope?
119. Prime Number Checker
120. How to Modify a Global Variable
121. Python Constants and Global Scope
122. Scope Quiz
123. Introducing the Final Project: The Number Guessing Game
124. Solution & Walkthrough to the Number Guessing Game
125. Don't be too hard on yourself
126. Day 13 - Beginner - Debugging: How to Find and Fix Errors in your Code
127. Describe the Problem
128. Reproduce the Bug
129. Play Computer and Evaluate Each Line
130. Fixing Errors and Watching for Red Underlines
131. Squash bugs with a print() Statement
132. Bringing out the BIG Gun: Using a Debugger
133. Final Debugging Tips
134. Debugging Odd or Even
135. Debugging Leap Year
136. Debugging FizzBuzz
137. Building Confidence
138. Day 14 - Beginner - Higher Lower Game Project
139. Introduction & Program Requirements for the Higher Lower Game
140. Solution & Walkthrough of the Higher Lower Game
141. Study Tip: Set Reminders in Your Calendar to Review
142. Day 15 - Intermediate - Local Development Environment Setup & the Coffee Machine
143. Introduction & Requirements for the Coffee Machine Project
144. Solution & Walkthrough for the Coffee Machine Code
145. Location, Location, Location - Pavlov's Coding Corner
146. Day 16 - Intermediate - Object Oriented Programming (OOP)
147. Why do we need OOP and how does it work?
148. How to use OOP: Classes and Objects
149. Constructing Objects and Accessing their Attributes and Methods
150. How to Add Python Packages and use PyPi
151. Practice Modifying Object Attributes and Calling Methods
152. Python Objects Quiz
153. Building the Coffee Machine in OOP
154. Walkthrough and Solution for the OOP Coffee Machine
155. Don't forget to review occasionally
156. Day 17 - Intermediate - The Quiz Project & the Benefits of OOP
157. Day 17 Goals: what we will make by the end of the day
158. How to create your own Class in Python
159. Working with Attributes, Class Constructors and the __init__() Function
160. Adding Methods to a Class
161. Quiz Project Part 1: Creating the Question Class
162. Quiz Project Part 2: Creating the List of Question Objects from the Data
163. Quiz Project Part 3: The QuizBrain and the next_question() Method
164. Quiz Project Part 4: How to continue showing new Questions
165. Quiz Project Part 5: Checking Answers and Keeping Score
166. The Benefits of OOP: Use Open Trivia DB to Get New Questions
167. Run for that Bus!
168. Day 18 - Intermediate - Turtle & the Graphical User Interface (GUI)
169. Day 18 Goals: what we will make by the end of the day
170. Understanding Turtle Graphics and How to use the Documentation
171. Turtle Challenge 1 - Draw a Square
172. Importing Modules, Installing Packages, and Working with Aliases
173. Turtle Challenge 2 - Draw a Dashed Line
174. Turtle Challenge 3 - Drawing Different Shapes
175. Turtle Challenge 4 - Generate a Random Walk
176. Python Tuples and How to Generate Random RGB Colours
177. Turtle Challenge 5 - Draw a Spirograph
178. The Hirst Painting Project Part 1 - How to Extract RGB Values from Images
179. The Hirst Painting Project Part 2 - Drawing the Dots
180. Space out your study sessions and stay consistent
181. Day 19 - Intermediate - Instances, State and Higher Order Functions
182. Day 19 Goals: what we will make by the end of the day
183. Python Higher Order Functions & Event Listeners
184. Challenge: Make an Etch-A-Sketch App
185. Object State and Instances
186. Understanding the Turtle Coordinate System
187. Turtle Coordinate System Quiz
188. Aaaand, we're off to the races!
189. Expand on the Solutions
190. Day 20 - Intermediate - Build the Snake Game Part 1: Animation & Coordinates
191. Day 20 Goals: what we will make by the end of the day
192. Screen Setup and Creating a Snake Body
193. Animating the Snake Segments on Screen
194. Create a Snake Class & Move to OOP
195. How to Control the Snake with a Keypress
196. Programming is not Memorising
197. Day 21 - Intermediate - Build the Snake Game Part 2: Inheritance & List Slicing
198. Day 21 Goals: what we will make by the end of the day
199. Class Inheritance
200. Inheritance Quiz

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We cover a wide variety of topics, including:

• Command Line Basics

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• Strings

• Lists 

• Dictionaries

• Tuples

• Sets

• Number Data Types

• Print Formatting

• Functions

• Scope

• args/kwargs

• Built-in Functions

• Debugging and Error Handling

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1. Course Overview
2. Auto-Welcome Message
3. Course Introduction
4. Course Curriculum Overview
5. Why Python?
6. Course FAQs
7. Python Setup
8. Command Line Basics
9. Installing Python (Step by Step)
10. Running Python Code
11. Getting the Notebooks and the Course Material
12. Git and Github Overview (Optional)
13. Python Object and Data Structure Basics
14. Introduction to Python Data Types
15. Python Numbers
16. Numbers: Simple Arithmetic
17. Numbers - FAQ
18. Numbers Quiz
19. Variable Assignments
20. Introduction to Strings
21. Quick Print Check
22. Indexing and Slicing with Strings
23. String Indexing
24. String Slicing
25. String Properties and Methods
26. Strings -FAQ
27. Strings Quiz
28. Print Formatting with Strings
29. Print Formatting FAQs
30. Print Formatting
31. Lists in Python
32. Lists
33. Lists - FAQ
34. Lists Quiz
35. Dictionaries in Python
36. Dictionaries
37. Dictionaries - FAQ
38. Dictionaries Quiz
39. Tuples with Python
40. Tuples Quiz
41. Sets in Python
42. Sets
43. Booleans in Python
44. Sets and Booleans Quiz
45. I/O with Basic Files in Python
46. File I/O
47. Resources for More Basic Practice
48. Python Objects and Data Structures Assessment Test Overview
49. Python Objects and Data Structures Assessment Test Solutions
50. Python Comparison Operators
51. Comparison Operators in Python
52. Chaining Comparison Operators in Python with Logical Operators
53. Comparison Operators Quiz
54. Python Statements
55. If Elif and Else Statements in Python
56. For Loops in Python
57. While Loops in Python
58. Useful Operators in Python
59. List Comprehensions in Python
60. Python Statements Test Overview
61. Python Statements Test Solutions
62. Methods and Functions
63. Methods and the Python Documentation
64. Introduction to Functions
65. def Keyword
66. Basics of Python Functions
67. Logic with Python Functions
68. Tuple Unpacking with Python Functions
69. Interactions between Python Functions
70. Overview of Quick Function Exercises #1-10
71. Quick Check on Solutions Link
72. Functions #1: print Hello World
73. Functions #2: print Hello Name
74. Functions #3 - simple Boolean
75. Functions #4 - using Booleans
76. Functions #5: simple math
77. Functions #6: is even
78. Functions #7: is greater
79. *args and **kwargs in Python
80. Functions #8: *args
81. Functions #9: pick evens
82. Functions #10: skyline
83. Function Practice Exercises - Overview
84. Function Practice Exercises - Solutions
85. Function Practice - Solutions Level One
86. Function Practice - Solutions Level Two
87. Function Exercise Solutions - Challenge Problem
88. Lambda Expressions, Map, and Filter Functions
89. Nested Statements and Scope
90. Methods and Functions Homework Overview
91. Methods and Functions Homework - Solutions
92. Milestone Project - 1
93. Introduction to Warm Up Project Exercises
94. Displaying Information
95. Accepting User Input
96. Validating User Input
97. Simple User Interaction
98. First Python Milestone Project Overview
99. Milestone Project Help
100. Solution Overview for MileStone Project 1 - Part One
101. Solution Overview for MileStone Project 1 - Part Two
102. Object Oriented Programming
103. Object Oriented Programming - Introduction
104. Object Oriented Programming - Attributes and Class Keyword
105. Object Oriented Programming - Class Object Attributes and Methods
106. Object Oriented Programming - Inheritance and Polymorphism
107. Object Oriented Programming - Special (Magic/Dunder) Methods
108. Object Oriented Programming - Homework
109. Object Oriented Programming - Homework Solutions
110. Object Oriented Programming - Challenge Overview
111. Object Oriented Programming - Challenge Solution
112. Modules and Packages
113. Pip Install and PyPi
114. Modules and Packages
115. __name__ and "__main__"
116. Errors and Exceptions Handling
117. Errors and Exception Handling
118. Errors and Exceptions Homework
119. Errors and Exception Homework - Solutions
120. Update for Pylint Users
121. Pylint Overview
122. Running tests with the Unittest Library
123. Milestone Project - 2
124. Introduction to Milestone Project 2 Section Warmup
125. Card Class
126. Deck Class
127. Player Class
128. Game Logic - Part One
129. Game Logic - Part Two
130. Game Logic - Part Three
131. Milestone Project 2 Overview
132. Solution Walkthrough - Card and Deck classes
133. Solution Walkthrough - Hand and Chip Classes
134. Solution Walkthrough - Functions for Game Play
135. Solutions Walkthrough - Final Gameplay Script
136. Python Decorators
137. Decorators with Python Overview
138. Decorators Homework
139. Python Generators
140. Generators with Python
141. Generators Homework Overview
142. Generators Homework Solutions
143. Advanced Python Modules
144. Introduction to Advanced Python Modules
145. Python Collections Module
146. Opening and Reading Files and Folders (Python OS Module)
147. Python Datetime Module
148. Python Math and Random Modules
149. Python Debugger
150. Python Regular Expressions Part One
151. Python Regular Expressions Part Two
152. Python Regular Expressions Part Three
153. Timing Your Python Code
154. Zipping and Unzipping files with Python
155. Advanced Python Module Puzzle - Overview
156. Advanced Python Module Puzzle - Solution
157. Web Scraping with Python
158. Introduction to Web Scraping
159. Setting Up Web Scraping Libraries
160. Python Web Scraping - Grabbing a Title
161. Python Web Scraping - Grabbing a Class
162. Python Web Scraping - Grabbing an Image
163. Python Web Scraping - Book Examples Part One
164. Python Web Scraping - Book Examples Part Two
165. Python Web Scraping - Exercise Overview
166. Python Web Scraping - Exercise Solutions
167. Working with Images with Python
168. Introduction to Images with Python
169. Working with Images with Python
170. Python Image Exercises - Overview
171. Python Image Exercises - Solution
172. Working with PDFs and Spreadsheet CSV Files
173. Introduction to PDFs and Spreadsheets with Python
174. Working with CSV Files in Python
175. Working with PDF Files in Python
176. PDFs and Spreadsheets Python Puzzle Exercise
177. PDFs and Spreadsheets Python Puzzle Exercise - Solutions
178. Emails with Python
179. Introduction to Emails with Python
180. Sending Emails with Python
181. Receiving Emails with Python
182. Final Capstone Python Project
183. Final Capstone Project
184. Advanced Python Objects and Data Structures
185. Advanced Numbers
186. Advanced Strings
187. Advanced Sets
188. Advanced Dictionaries
189. Advanced Lists
190. Advanced Python Objects Assessment Test
191. Advanced Python Objects Test - Solutions
192. Bonus Material - Introduction to GUIs
193. Introduction to GUIs
194. Quick note about ipywidgets
195. Interact Functionality with GUIs
196. GUI Widget Basics
197. List of Possible Widgets
198. Widget Styling and Layouts
199. Example of what a Widget can do!
200. APPENDIX: OLDER PYTHON 2 MATERIAL

Learn Python Programming - course is curated for Beginner to Master.

Every topic is covered in depth with practical examples.

100+ Challenges to make you expert in Problem Solving using Python

By the end of the course you will understand Python extremely well and will be able to build your own Python applications.

Resources are available for every lectures.

Answer Quiz at the end of major topics, to feel confident.

Do Projects using Tkinter, GUI Programming.

Use Laptop or PC to learn and practice Python.

IDLE is used for demonstrating the concepts and PyCharm is used for Developing Programs. You can use any IDE, of your choice.

Course Content:

• Fundamental Concepts and Features of Python

• Learn to use PyCharm, Jupyter Notebook and IDLE.

• Explore Numeric DataTypes

• Conditional and Loop Statements

• Explore Advance Datatypes - List, Tuple, Set, Dictionary

• Write Error-free Programs by Handling Exception

• Multithreaded Programs

• More and more about Functions

• Object-Oriented Programming

• File Handling and CSV Files

• Database Programming using Sqlite

• Modules

  • Data Structures

  • Date and Time

  • OS

  • Math

  • NumPy

• GUI Programming using Tkinter

• Do Projects in GUI Programming

You can always ask Questions in Q&A section. you can find Q&A section under each video lecture.

Every Lecture contains notes in Resources.

1. Introduction to Python
2. Instructor's Note
3. Types of Programming Languages
4. Compiler Vs Interpreter
5. How a Python Program Runs?
6. Python: Platform Independent
7. Programming Methodologies
8. Features of Python
9. Areas of Programming
10. Python Installation and Setup
11. Installing Python
12. Installing Pycharm
13. Installing VS Code
14. Installing and using Jupiter Notebook
15. Python Datatypes
16. Section Introduction
17. What are Variables ?
18. Python Dynamically Typed
19. Rules for declaring Variable Names
20. Python Data Types
21. Variables
22. Numeric Datatypes (int & float)
23. Numeric Datatype (bool & complex)
24. Literals or Constants
25. Integer Literals
26. Numeric type & Literals
27. Base Conversion
28. Type Conversion
29. Type and Base conversions
30. Operators and Expression
31. Section Introduction
32. Arithmetic Operators
33. Expressions
34. Arithmetic Operators and Expressions
35. Program using Expressions
36. Challenge : Area of triangle
37. Challenge : Kms to Miles
38. Challenge : Surface area of Cuboid
39. Challenge : Quadratic Equations
40. Arithmetic Assignment Operators
41. Arithmetic With All Datatypes
42. Arithmetic Assignment Operators
43. Conditional Statements
44. Section Introduction
45. Conditional Statements- if ...else
46. Logical Operator
47. Challenge : Eligibility for Casting a Vote
48. Challenge : Marks within Range
49. Challenge : Admin Access
50. Nested if and elif Statements
51. Challenge : Discount Amount
52. Challenge : Displaying Name of a Day
53. Challenge : Leap Year or Not
54. Detail Relational Operator
55. Detail Logical Operator
56. Bitwise Operator
57. Identity operators : is - is not
58. Conditional Statements
59. Loops - Control Flow
60. Section Introduction
61. Introduction to Loops
62. Challenge : Multiplication Table
63. Challenge : Palindrome or not
64. Challenge : Positive and Negative Numbers
65. Challenge : Decimal to Binary
66. Challenge : Guess Numbers from 1-10
67. Loops
68. Infinite Loop - break - continue - pass
69. else suite : else with while loop
70. What is for Loop ?
71. Challenge : Factorial of Given Number
72. Challenge : AP and Fibonacci Series
73. Challenge : Factors of a Number
74. break-continue-pass - with for loop
75. Infinite - break , pass , for loop
76. Nested Loops
77. Challenge : Prime Numbers from 1-100
78. Challenge : Draw Patterns
79. Match Case
80. String and its Methods
81. Section Introduction
82. Introduction to String
83. Operators on String
84. Relational Operators on Strings
85. Introduction to Strings
86. Introduction to String Methods
87. String Methods : find( ) and index( )
88. String Methods : Removing Spaces
89. String Methods : Changing Cases
90. String Methods : Inquiry Methods
91. String Methods : Inquiry Methods 2
92. String Methods : Starts with and Ends with
93. String Methods : Joining and Splitting
94. Challenge : Sorting Letters of a String
95. Challenge : Displaying Data
96. Challenge : Confirming Password
97. Challenge : Credit Card Details
98. Challenge : Domain Name from Email
99. Challenge : Converting String to Palindrome
100. Challenge : Day, Month , Year
101. Challenge : Anagram String
102. Challenge : Rearranging Case
103. Challenge : Removing Punctuations
104. String Methods
105. Formatted Printing
106. Section Introduction
107. ASCII Code
108. Unicode
109. Escape Sequence : Special Characters
110. Escape Sequence : Printable and Non Printable
111. Print Function
112. C Style Formatting
113. Printing String in Formatted Style
114. Escape Sequences and Printing
115. Regular Expression
116. Section Introduction
117. Quantifiers
118. Special Characters
119. Sequence Characters
120. Regular Expression
121. List
122. Section Introduction
123. Introduction to List
124. List : Indexing and Slicing
125. List: Concatenation and in not in
126. Visiting Elements in a List ( Iterations )
127. List Methods : Adding Elements
128. List Methods : Removing Elements
129. List Methods : Index & Sorting
130. List Comprehensions
131. Nested List
132. Challenge : Calculating Salary
133. Challenge : Removing Duplicates
134. Challenge : Concatenating List into Single Number
135. Challenge : Minimum Index in Sum of Two Lists
136. Challenge : Overlapping Elements in Two Lists
137. Challenge : Find the number of occurrences of each item.
138. Challenge : Telegram-Morse Code
139. Challenge : Adding Two Matrix
140. Challenge : Transpose of Matrix
141. Challenge : Word Starting with a Given Letter
142. List
143. Tuple
144. Section Introduction
145. Introduction to Tuple
146. Tuple Comprehensions and Methods
147. Tuple Operators
148. Tuple
149. Sets
150. Section Introduction
151. Introduction to Sets
152. Internal Working of Sets
153. Set in Mathematics
154. Set Operations in Mathematics
155. Set Methods : Union , Intersection, Difference etc.
156. Operators on Set
157. Set Methods : Adding and Deleting
158. Set Comprehensions
159. set
160. Dictionary
161. Section Introduction
162. Introduction to Dictionary
163. Dict : Comprehensions 1
164. Dict : Comprehensions 2
165. Looping over Dictionary
166. Dictionary Methods
167. Dictionary
168. Challenge : Birthday of a Person
169. Challenge : Finding Meanings in Dictionary
170. Challenge : Countries Names
171. Challenge : Roman to Integer Number
172. Challenge : Student Details
173. Functions
174. Section Introduction
175. What are Functions ?
176. How to Write a Function ?
177. Positional vs Keyword Arguments
178. Default Arguments
179. Mixed Positional Keyword Arguments
180. Functions
181. Variable Length Positional Arguments
182. Variable Length Keyword Arguments
183. Iterators and Generators
184. Global vs Local Variables
185. Recursive Function
186. Parameters to Functions
187. Built-in Functions #1
188. Build-in Functions #2
189. Build-in Functions #3
190. What are Module ?
191. Challenge : Difference Between Two Numbers
192. Challenge : Max of Three Numbers
193. Challenge : Printing Positional Message
194. Challenge : Planet Names
195. Challenge : Scores Ending with Zero
196. Challenge : Inverting a Dictionary
197. Challenge : Pangram Phrase
198. Challenge : Case Counting Letters
199. Challenge : Minimum Variable Number
200. Challenge : Pascal's Triangle

In this 60-day Python course, you will transform from a beginner with no coding experience to a proficient Python programmer capable of building real-world applications and confidently applying for entry-level programming jobs. With a curriculum focused on hands-on projects, you will develop the practical skills and experience that employers value.

Throughout the course, you will work on 20 hands-on projects designed to build practical skills from the ground up. These projects cover a range of real-world scenarios, from task automation and web development to working with APIs and databases. By completing each project, you'll not only deepen your understanding of Python but also create a portfolio that demonstrates your abilities to potential employers. With step-by-step guidance and lifetime access to all course materials, you'll have everything you need to confidently apply your new skills in the job market.

Here’s a sneak peek of the 20 projects you'll build:

1. Todo List App

2. Project Showcase Website

3. Python PDF Maker

4. Excel to PDF Invoice Generator

5. Emailing Daily News from API

6. Weather Data API

7. Weather Forecast Dashboard

8. NLP (Natural Language Processing) for eBooks

9. Webcam Alert App

10. Web Scraping Musical Events

11. Hotel Booking App in OOP Style

12. Code Review: The Mario Game

13. SQLite Student Management System

14.MySQL Student Management System

15. Web Automation Tool (GUI) with Selenium

16. Web App with Flask

17. Web App with Django

18. Food Order Management Web App with Django

19. Movie Recommendation System

20. Building and Publishing a Python Package

Each app helps you master different parts of Python, such as:

• Python basics

• Automation

• Data analysis and visualization

• APIs

• Web development

• Data science and machine learning

• Database management

• Object-oriented programming

• Package development

Why You'll Love This Course

• Learn by Doing: You’ll start coding real applications right away, building practical skills as you go.

• Flexible Pace: Whether you want to follow the suggested 60-day plan or work at your own speed, the choice is yours.

• Build a Portfolio: By the end, you’ll have 20 applications to showcase on GitHub, proving your skills to employers or clients.

• Career-Ready Skills: Learn key tools and practices used in the tech industry, like Git, GitHub, and working with APIs.

• All Levels Welcome: Whether you're just getting started or looking to strengthen your programming skills, this course is designed for learners of all backgrounds.

If you’re ready to start your Python journey and build projects you can be proud of, join thousands of students who have already transformed their skills with The Python Mega Course. Enroll today and start coding with confidence!

1. MODULE 1️⃣: PYTHON BASICS: Day 1: App 1 -Build a Todo List App | #datatypes
2. Welcome to Module 1
3. Course Cheatsheets
4. Programming Terms: A to Z Glossary
5. Today's Goals
6. Installing Python and PyCharm
7. Getting Started with PyCharm
8. Building the Todo List App - The First Step
9. Printing Out Text
10. Printing Out Any Text
11. Getting User Input
12. Declaring Variables
13. Storing User Input in Lists
14. Creating Lists of Variables
15. Creating Lists of Variables and Strings
16. Printing List of Strings
17. Printing the Type
18. Coding Experiments
19. Bonus Example
20. Good to Know
21. Bug-Fixing Exercises
22. Programming Tool/Concept of the Day: The Python Console
23. FAQ
24. Quiz, Day 1
25. Cheatsheet, Day 1
26. Daily Python Projects
27. Day 2: App 1 -Build a Todo List App | #methods #while-loops
28. Recap of Yesterday
29. Getting User Input Repeatedly
30. Infinite While Loops
31. Storing User Input Repeatedly
32. Append Item to List
33. Capitalize Text
34. Coding Experiments
35. Capitalize Method
36. Capitalize All Words
37. Bonus Example
38. Coding Exercise: Infinite While-Loop
39. Coding Exercise: While-Loop and User Input
40. Bug-Fixing Exercises
41. Programming Tool/Concept of the Day: How to Find the Code You Need
42. Tip
43. Find the Code
44. FAQ
45. Quiz, Day 2
46. Cheatsheet, Day 2
47. Day 3: App 1 -Build a Todo List App | #match-Case #for-loops
48. Recap of Yesterday
49. Todo List View and Program Exit
50. Match-Case
51. Improving the Program Output
52. For-Loop
53. Good to Know : Discord
54. Code Experiments
55. Match-Case with Bitwise Operator
56. For-Loop and Title Case
57. Bonus Example
58. For-Loop with Numbers
59. Bug-Fixing Exercises
60. Programming Tool/Concept of the Day: What Surprisingly is Python
61. FAQ
62. Quiz, Day 3
63. Cheatsheet, Day 3
64. Day 4: App 1 -Build a Todo List App | #list-indexing #tuples
65. Recap of Yesterday
66. Add an "Edit" Feature
67. Coding Experiments
68. List of Serial Numbers
69. List of Items
70. Bonus Example
71. String Replace
72. String Replace and For-Loop
73. Appending Items to List
74. Tuple of Tuples
75. String Variables
76. Bug-Fixing Exercises
77. Programming Tool/Concept of the Day: Text Editors, Code Editors, IDE, PyCharm
78. FAQ
79. Quiz, Day 4
80. Cheatsheet, Day 4
81. Day 5: App 1 -Build a Todo List App | #enumeration #f-strings
82. Recap of Yesterday
83. Numbered Todos
84. List of Three Items
85. List of Four Items
86. Enumeration 1
87. Enumeration 2
88. Improving the Program Output
89. Enumeration and f-strings
90. Enumeration, f-strings, and Capitalizing
91. Add a "Complete Todo" Feature
92. Removing Items
93. Good to Know: Q&A
94. Code Experiments
95. Finding the Length
96. Length Calculation in For-Loop
97. Bonus Example
98. For-Loop and Sorted List
99. Bug-Fixing Exercises
100. Programming Tool/Concept of the Day: How to Ask Good Programming Questions
101. FAQ
102. Quiz, Day 5
103. Cheatsheet, Day 5
104. Day 6: App 1 -Build a Todo List App | #processing-text-files
105. Recap of Yesterday
106. Storing Items in Text Files
107. Getting Todo Items from Text Files
108. How Data Types are Created
109. Code Experiments
110. Bonus Example
111. Read File and Print
112. Read File, Modify, and Print
113. Read File and Analyze its Content 1
114. Read File and Analyze its Content 2
115. Creating a Text File
116. The zip() Function
117. Creating Multiple Text Files
118. Coding Exercise: Adding to Text File
119. Coding Exercise: Generate Multiple Text Files
120. Coding Exercise: Reading Multiple Files
121. Bug-Fixing Exercises
122. Programming Tool/Concept of the Day: Online Python Communities
123. FAQ
124. Quiz, Day 6
125. Cheatsheet, Day 6
126. Day 7: App 1 -Build a Todo List App | #list-comprehension #comments
127. Recap of Yesterday
128. Improving the Program Output
129. Code Experiments
130. Bonus Example
131. List Comprehension
132. Length and List Comprehension
133. Type Conversion and List Comprehension
134. List Comprehension on Numbers
135. Sum of Numbers
136. Bug-Fixing Exercises
137. Programming Tool/Concept of the Day: Usages of Python in Real Life
138. FAQ
139. Quiz, Day 7
140. Cheatsheet, Day 7
141. Day 8: App 1 -Build a Todo List App | #with-context-manager
142. Recap of Yesterday
143. Optimising the Code
144. Editing and Completing Todo Items
145. With Context Manager -File Reading
146. With Context Manager -Analyzing Content
147. Code Experiments
148. Bonus Example
149. With Context Manager -File Writing
150. With Context Manager and For-Loop
151. With Context Manager with Reading and Writing
152. Bug-Fixing Exercises
153. Programming Tool/Concept of the Day: Steps of Creating and Maintaining a Program
154. FAQ
155. Quiz, Day 8
156. Cheatsheet, Day 8
157. Day 9: App 1 -Build a Todo List App | #if #elif #else #dictionaries
158. Recap of Yesterday
159. Improving the "Add" Feature
160. Optimising the Program
161. Code Experiments
162. Bonus Example
163. Password Validation
164. Advanced Password Validation
165. List of Floats
166. Dictionary of Tuples
167. List Slicing 1
168. List Slicing 2
169. List Slicing 3
170. Bug-Fixing Exercises
171. Programming Tool/Concept of the Day: High vs. Low Level Programming Languages
172. FAQ
173. Quiz, Day 9
174. Cheatsheet, Day 9
175. Day 10: App 1 -Build a Todo List App | #error-handling #try-except
176. Recap of Yesterday
177. Fixing Two Bugs in the Program
178. Anticipating Program Errors
179. Code Experiments
180. Bonus Example
181. Percentage Calculator with Error Handling
182. Advanced Error Handling
183. For Loops and Conditionals 1
184. For Loops and Conditionals 2
185. Loops and Slicing
186. Loops, Slicing, and String Manipulation
187. Bug-Fixing Exercises
188. Programming Tool/Concept of the Day: Cloud IDEs
189. FAQ
190. Quiz, Day 10
191. Cheatsheet, Day 10
192. Day 11: App 1 -Build a Todo List App | #custom-functions
193. Recap of Yesterday
194. Avoiding Repetitive Code
195. Code Experiments
196. Bonus Example
197. Function to Process a List 1
198. Function to Process a List 2
199. Function to Process a String
200. Function to Process a Number

Welcome! My name's Adrian and I'm a professional Software Developer. If you already know basic Python and want to take another step with your skills, then you've just found an excellent course for that! Along the way, you will also create three practical Python programs!

According to statistics, Python is in the top 3 programming languages all around the world. It is much easier and quicker to learn that most other languages. At the same time, it's extremely popular among software developers, data analysts and other IT professions. All of this makes it an excellent choice for your first programming language.

COURSE OVERVIEW 

In this course, you'll learn intermediate-level Python 3 and you'll get prepared for the Certified Associate in Python Programming exam (PCAP). You will need basic Python skills (entry-level PCEP exam knowledge) to start this course. I'll show you how to install Python and all the necessary tools. You will code along with me andhave a chance to write three practical programs to practice your skills.

There are 5 exam blocks when you sit the PCAP exam. Consequently, this course has 5 main modules, each one focusing on a different exam block. At the end of each module, you'll have a chance to solve an exam quiz to check your skills.

This course also comes with a mock PCAP exam at the very end. It will have the same format as your actual exam, with the same passing grade and time limit. It will show you what kinds of questions you can expect.

COURSE ADVANTAGES

• concise – the short video lectures focus on the most important aspects: there are just a few hours of videos to get you started ASAP

• based on practice – instead of useless academic theory, you learn the best developing practices drawn from my work experience,

• reasonably priced – compared to stationary developer bootcamps, the course is much cheaper, so you save not only time but also money,

• available anywhere, anytime – the online form lets you run the course in the most convenient place (at home, work or in a café) and time (while commuting by metro or relaxing at home after work), so you can adjust it to your agenda,

• accessible on desktop, mobile and TV – you can display my lectures on the device of your choice, so you don’t have to stick to your PC,

• certificate of completion – after completing the course, you will receive a printable certificate that will make your resume more attractive.

1. Introduction
2. What is the PCAP certificate?
3. Who is this course for?
4. What should you already know?
5. The necessary tools
6. Getting started with Anaconda
7. Online tools
8. Ready?
9. Modules and Packages
10. Introduction to modules
11. Importing modules
12. Math module
13. Random module
14. Further comment: random.sample
15. Platform module
16. platform.python_version_tuple() vs. platform.version()
17. Extra: PyPI repository
18. Using "random"
19. Sample solution: Using "random"
20. Creating your own modules
21. Running own modules directly and indirectly
22. Own modules: practical example
23. Creating own modules
24. Sample solution: Creating own modules
25. Module locations: sys.path
26. Using packages in Python
27. Quiz: Modules and Packages
28. Strings
29. Internal string representation
30. Basic string operations
31. Searching inside strings
32. Joining, splitting and sorting strings
33. Working with strings
34. Sample solution: Working with strings
35. Comparing strings
36. Quiz: Strings
37. Mini Project: Random password generator
38. Object-Oriented Programming (OOP)
39. Introduction to OOP
40. Classes and objects
41. Encapsulation and abstraction
42. Instance variables
43. Class variables
44. Comparison: instance, class and local variables
45. Methods
46. Can you have a default value for the self constructor parameter?
47. Deck of cards
48. Sample solution: Deck of cards
49. Reflection and introspection
50. Introduction to inheritance
51. Inheriting properties
52. Inheriting class variables and methods
53. Overriding properties and methods
54. isinstance() an 'is' operator
55. Multiple inheritance
56. The __bases__ property
57. Diamond problem
58. Quiz: Object-Oriented Programming
59. Mini Project: Rock-paper-scissors game
60. Exceptions
61. Important: Exceptions in PCEP and PCAP exams
62. (PCEP&PCAP) Introduction to exceptions
63. Can you catch SyntaxErrors?
64. (PCEP&PCAP) Exception hierarchy
65. (PCEP&PCAP) Propagating exceptions
66. (PCEP&PCAP) Assertion exceptions
67. Try... except with else
68. The finally keyword
69. The raise keyword
70. Exceptions as objects
71. Creating your own exceptions
72. Quiz: Exceptions
73. Miscellaneous
74. List comprehensions
75. Lambda functions
76. map() and filter() with lambdas
77. Closures
78. Introduction to file handling
79. Text file reading basics
80. Text file writing basics
81. Counting words in files
82. Sample solution: Counting words in files
83. Binary file basics
84. Reading binary files: read() vs readinto()
85. File handling modes
86. Predefined streams
87. Stream errors
88. Quiz: Miscellaneous
89. Mini Project: To-do list
90. Congratulations!
91. Congratulations!
92. Mock PCAP exam
93. PCAP: Mock Exam
94. Extra
95. Course Jupyter files
96. Bonus lecture
97. LinkedIn: Show your new skills!