| Section | Topic | Key Learning Outcomes | | :--- | :--- | :--- | | 1-3 | Setup & Basics | Installing Python, using Jupyter Notebooks, and understanding data types (int, float, str, bool). | | 4-6 | Python Data Structures | Lists, Tuples, Dictionaries, and Sets – creation, indexing, slicing, and methods. | | 7-8 | Comparison & Loops | if-elif-else , for loops, while loops, break , continue , and pass . | | 9 | List Comprehensions | Efficient, one-line list creation. | | 10-11 | Functions & Scope | Defining functions, *args , **kwargs , lambda , map , filter , and variable scope. | | 12 | Advanced Methods | os module, shutil , working with text files, and error handling ( try-except ). | | 13-14 | OOP (Object-Oriented Programming) | Classes, instances, methods, inheritance, polymorphism, and special methods ( __str__ , __repr__ ). | | 15 | Modules & Packages | Creating and importing your own modules, working with pip and standard library modules. | | 16-17 | Errors & Testing | Debugging, pdb , unit testing with unittest . | | 18 | Decorators & Generators | Advanced function patterns for efficient code. | | 19-21 | Final Projects | (Tic-Tac-Toe), Milestone Project 2 (War Card Game), and a capstone project involving data analysis. | | 22 | Bonus Section | Introduction to GUI programming with Tkinter, web scraping with BeautifulSoup, and data science with NumPy/Pandas (brief). |
Would you like me to help you find (e.g., YouTube playlists from 2020) with similar features, or provide a study roadmap based on this course's structure? | Section | Topic | Key Learning Outcomes
This is where you separate "zero" from "hero." OOP is the standard for professional development. | | 9 | List Comprehensions | Efficient,