Chapter 1: Introduction to Python
Chapter 2: Python Syntax and Basics
Chapter 3: Control Flow Statements
Chapter 4: Functions in Python
Chapter 5: Exception Handling
Chapter 6: Classes and Objects
Chapter 7: Inheritance and Polymorphism
Chapter 8: Encapsulation and Abstraction
Chapter 9: Magic Methods and Operator Overloading
Chapter 10: Modules and Packages
Chapter 11: Lists, Tuples, and Dictionaries
Chapter 12: Sets and Frozen Sets
Chapter 13: Searching and Sorting Algorithms
Chapter 14: Graph Traversal Algorithms
Chapter 15: Stacks, Queues, and Linked Lists
Chapter 16: Shallow and Deep Copy
Chapter 17: Global Interpreter Lock (GIL) and Threading
Chapter 18: File Handling in Python
Chapter 19: Regular Expressions in Python
Chapter 20: Decorators and Generators
Chapter 21: Automating Tasks with Python
Chapter 22: Web Scraping with Python
Chapter 23: Automated Testing with Selenium
Chapter 24: Unit Testing and Test-Driven Development (TDD)
Chapter 25: Logging and Debugging in Python
Chapter 26: Data Analysis with Pandas and NumPy
Chapter 27: Data Visualization with Matplotlib and Seaborn
Chapter 28: Machine Learning with Scikit-Learn
Chapter 29: Deep Learning with TensorFlow and PyTorch
Chapter 30: Natural Language Processing (NLP) with Python
Chapter 31: Penetration Testing with Python
Chapter 32: Working with APIs in Python
Chapter 33: Cryptography in Python
Chapter 34: Socket Programming and Network Security
Chapter 35: Python for Digital Forensics
Chapter 36: Python in DevOps and Cloud Computing
Chapter 37: Building Web Applications with Flask and Django
Chapter 38: Deploying Python Applications
Chapter 39: Python Interview Questions and Answers
Chapter 40: Python Cheat Sheets and Case Studies