Python Learning Roadmap

🔍 What is Python?

Python is a high-level, interpreted, object-oriented programming language created by Guido van Rossum in 1989 and released in 1991. It is designed to be simple, readable, and versatile, making it easy for both beginners and professionals to use. Python supports multiple programming paradigms like procedural, object-oriented, and functional programming.

💼 Scope & Use Cases

• Web Development: Using Django, Flask
• Data Science: Pandas, NumPy, Matplotlib, Scikit-Learn
• Machine Learning & AI: TensorFlow, PyTorch
• Automation & Scripting: Automate boring tasks easily
• Game Development: Pygame
• Cybersecurity: Scripting, automation, pentesting

📘 Topics to Learn (Beginner to Advanced)

• 1. Python Installation
• 2. Python Syntax & Variables
• 3. Data Types (int, float, str, list, tuple, dict, set)
• 4. Operators (Arithmetic, Logical, Bitwise, etc.)
• 5. Conditional Statements (if, elif, else)
• 6. Loops (for, while)
• 7. Functions and Recursion
• 8. Exception Handling (try, except, finally)
• 9. File Handling (open, read, write)
• 10. Object-Oriented Programming (Classes & Objects)
• 11. Modules and Packages
• 12. Virtual Environments & PIP
• 13. Working with APIs (requests, json)
• 14. Data Analysis with Pandas & NumPy
• 15. Data Visualization with Matplotlib & Seaborn
• 16. Web Development with Flask/Django
• 17. Database Connectivity (SQLite, MySQL)
• 18. Unit Testing & Debugging
• 19. Multithreading & Multiprocessing
• 20. Intro to Machine Learning with Scikit-learn
• 21. Deploying Python Apps (Heroku, Render, Vercel)
• 22. Logic building
• 23. Assignments
• 24. Dunder method