This repository contains Python practice exercises organized by topic.
The goal is to improve skills step by step through algorithms, OOP, async programming, refactoring, and more.
CODING_PRACTICE/
├── algorithm_challenges/ — coding challenge solutions
├── asyncio_sysprogram/ — async & system programming practice
├── datastructs_algorithms/ — data structures & algorithms
├── funcs_itertools/ — functions & itertools exercises
├── internals_bestpractices/ — Python internals & best practices
├── miniprojs/ — mini projects
├── oop/ — object-oriented programming exercises
├── python_fundamentals/ — basics & foundations
├── refactoring/ — refactoring exercises
├── test_performance/ — performance testing & benchmarking
├── .venv/ — virtual environment
├── .gitignore
├── pyproject.toml — Black & Ruff configuration
├── requirements.txt — dependencies
└── README.md — this file
-
Clone the repo
git clone https://github.com/sahancodes/pythonpractice.git
cd pythonpractice -
Create a virtual environment
python -m venv .venv -
Activate it
- Windows (PowerShell): .\.venv\Scripts\Activate.ps1
- macOS/Linux: source .venv/bin/activate
-
Install dependencies
pip install -r requirements.txt
Each folder contains focused exercises or projects. For example:
Run a script:
python python_fundamentals/example.py
Run tests:
pytest algorithm_challenges
- Python 3.x
- pytest — for testing
- Black — code formatter
- Ruff — fast linter
- Practice Python across different areas (fundamentals → advanced).
- Build reusable code and mini projects.
- Learn clean coding practices with tests, linting, and formatting.
- Explore performance testing, async, and Python internals.
- Add more exercises regularly.
- Expand
miniprojs/into larger applications. - Continue experimenting with new Python features.
👨💻 Author: @sahancodes """
output_path = "/mnt/data/README.md" with open(output_path, "w", encoding="utf-8") as f: f.write(readme_md)
output_path