Short. Sharp. Python that matters.

Welcome to Python QuickBits — a weekly series of bite-sized Python lessons that uncover hidden gems, modern features, and practical tricks.

Each QuickBit is crafted as a Jupyter Notebook 📓 with:

• 📝 Clear explanations in Markdown
• 🐍 Well-commented Python code
• ⚡️ Practical, real-world examples
• 🎯 A one-liner takeaway

Perfect for learners who want to upgrade their Python skills one small step at a time.

✅ Speed up expensive functions with lru_cache
✅ Write safer code with dataclasses.field(default_factory=...)
✅ Discover hidden gems like contextlib and operator
✅ Explore modern Python features (pattern matching, TOML parsing, typing hacks)
✅ Practical mini-utilities (retry decorators, benchmarking, config handling)

Python-QuickBits/
│── notebooks/        # Jupyter Notebooks for each QuickBit
│    ├── 01_lru_cache_speedup.ipynb
│    ├── ...
│    ├── ...
│
│── README.md

Clone the repo and open the notebooks in Jupyter or PyCharm or VS Code:

git clone https://github.com/abhijithwarrier/Python-QuickBits.git
cd Python-QuickBits/notebooks
jupyter notebook

Because learning Python doesn’t need to feel heavy. Each QuickBit takes just a few minutes — but leaves you with a skill you’ll use for years.

I post 1 new Script every Wednesday on Instagram as part of the "Python QuickBits" series.
📲 Follow me to keep learning, one script at a time.

This project is open-source under the MIT License.