Python growing Knowledge base

This repository contains detailed explanations and demonstrated code for every Python concept I’ve learned — and will continue to grow as I:

• Explore new topics online 🧑‍💻
• Build projects 🚀
• Contribute to open source 🌍
• Solve competitive programming problems 🧩
• Gain any other relevant experience 🛠️

This is my evolving Python knowledge base, meant to deepen understanding through code, clarity, and curiosity.

Roadmap Followed

🧱 Basic

Concept	Status
Variables and scopes	✅
Data Types	✅
Conditional Statements (if-else, if-elif-else, match-case)	✅
Operators (Arithmetic, Assignment, Comparison, Logic, Identity, Membership Bitwise)	✅
Control Flow (break, continue, return, pass)	✅
Loops (for, while, do-while)	✅
Patterns (floyd's triangle, diamond, inversed triangle, butterfly, hourglass etc.)	✅
Python Data Structures (List, Tuple, Dictionary, Set, String)	✅
Functions	✅
File I/O (Reading, writing, appending, creating and file modes)	✅

---

⚙️ Intermediate

Concept	Status
Data Structures and Algorithms	✅
Object-Oriented Programming	✅
Bit Manipulation	✅
Lambda Functions	✅
*args and **kwargs	✅
map() and filter()	✅
functools module	✅
datetime module	✅
itertools module	⬜
collections module	⬜
Type Annotations	✅
Dunder Methods (__init__, __str__, etc.)	⬜
Exception Handling	✅
PIP Package Management (install, uninstall, list, freeze, check, cache, config)	⬜
Python Environments (Anaconda, Jupyter ✅, Cython ✅)	⬜

---

🚀 Advanced

Concept	Status
Decorators	⬜
Generators	✅
Context Managers	✅
Numba	⬜
Creating Custom Modules	⬜
asyncio Module	⬜
Metaclasses	⬜
Concurrency & Parallelism	⬜

---

📌 Note

This is a personal documentation project intended to:

• Reinforce my understanding of Python
• Serve as a reference I can revisit
• Possibly help others on a similar learning journey

Feel free to explore, learn if you find it helpful! Thanks for stopping by! Happy coding! ✨