1. Basics
1.1 What is Python?
1.2 Setting up Python Environment
1.3 Python Syntax
1.4 Variables and Data Types
2. Data Types
2.1 Numbers (int, float, complex)
2.2 Strings
2.3 Lists
2.4 Tuples
2.5 Sets
2.6 Dictionaries
3. Control Flow
3.1 Conditional Statements (if, elif, else)
3.2 Loops (for, while)
3.3 List Comprehensions
3.4 Exception Handling (try, except, finally)
4. Functions
4.1 Defining Functions (def)
4.2 Lambda Functions
4.3 *args and **kwargs
4.4 Decorators
4.5 Recursion
5. Modules and Packages
5.1 Importing Modules
5.2 Creating Modules
5.3 Standard Library Modules (os, sys, math, datetime, etc.)
5.4 Installing Packages with pip
6. File Handling
6.1 Reading and Writing Files
6.2 Working with Files and Directories
6.3 JSON and CSV Handling
6.4 Object-Oriented Programming
7. Classes and Objects
7.1 Inheritance
7.2 Polymorphism
7.3 Encapsulation
7.4 Magic Methods
8. Libraries and Frameworks
8.1 Data Analysis (NumPy, pandas)
8.2 Web Development (Django, Flask)
8.3 Machine Learning (scikit-learn, TensorFlow, PyTorch)
8.4 GUI Development (Tkinter, PyQt)
8.5 Networking (socket, requests)
9. Advanced Topics
9.1 Iterators and Generators
9.2 Context Managers
9.3 Metaclasses
9.4 Coroutines and Asyncio
9.5 Type Hinting
10. Testing and Debugging
10.1 Unit Testing (unittest, pytest)
10.2 Debugging Tools (pdb, logging)
10.3 Code Coverage