Article
Optimizing Python Packages for PyPI
Best practices for packaging, testing, and distributing Python libraries on PyPI, covering everything from project structure to CI/CD automation.
Why Package Your Code?
Publishing a Python package on PyPI makes your code accessible to the global developer community with a simple pip install command. It is the standard way to share reusable Python libraries and tools.
Project Structure
A well-organized package follows a predictable structure:
my-package/
├── src/
│ └── my_package/
│ ├── __init__.py
│ └── core.py
├── tests/
├── pyproject.toml
├── README.md
└── LICENSE
Key Files
pyproject.toml
This is the modern standard for Python project configuration. It defines metadata, dependencies, and build system requirements.
README.md
Your package's front door. Include installation instructions, quick-start examples, and links to documentation.
Publishing
Use build and twine to publish:
python -m build
python -m twine upload dist/*
Automation
Set up GitHub Actions to publish automatically when you create a new release. This eliminates manual steps and ensures consistency.
This guide accompanies the CvPal package publishing workflow.