🐍 Writing Effective Python

A curated guide and collection of notes, examples, and principles for writing clean, efficient, and maintainable Python code.
This project is inspired by best practices, Zen of Python, and real-world coding experience.

---

✨ Key Principles

• Readability counts – Write code that others (and future you) can understand.
• Simplicity > Complexity – Prefer straightforward solutions over clever hacks.
• Consistency – Stick to common conventions (PEP8, docstrings, naming).
• Efficiency – Use Pythonic idioms and built-in tools to write faster, cleaner code.
• Testing matters – Write tests early to ensure long-term maintainability.

📖 Topics Covered

• ✅ Pythonic coding style & idioms
• ✅ Effective use of built-in functions & libraries
• ✅ Writing maintainable, scalable code
• ✅ Error handling & debugging best practices
• ✅ Performance tips (loops, comprehensions, generators)
• ✅ Testing strategies

📘 Chapters and Code

1. Chapter 1

   • zenofpython.py

2. Chapter 2

   • tuples.py
   • list.py
   • dictionary.py
   • sets.py
   • queues.py
   • stack.py
   • heap.py
   • tree.py
   • graphs.py
   • zip&enumerate.py
   • decorators.py
   • namedtuples.py
   • closure.py
   • properties.py
   • metaclasses.py
   • bestpractices.py

3. Chapter 3

   • arg^kwargs.py
   • pureFunctions.py
   • impureFunctions.py

4. tips

   • iterator.py

🙏 Thank You

Thank you for visiting this project! If you find it helpful, consider giving it a ⭐ on GitHub.

✍️ Author

Nikhil Pathak