Python Packaging and PyPI Publishing Guide

Have you ever written a useful Python script and wondered how to share it with the world as an easily installable library? Many developers struggle to transition from loose scripts to clean, maintainable, and distributable code. This course guides you step-by-step through the process of turning a small Python project into a professional package ready for the Python Package Index (PyPI). You will learn how to structure your directories, configure metadata, and prepare your code for distribution. We start with foundational packaging terminology and concepts, ensuring you understand the mechanics of how Python handles imports and dependencies before you write any configuration files. What you'll learn: - Understand foundational packaging concepts, namespace packages, and dependency management - Configure modern packaging metadata using pyproject.toml and tools like Hatch or Flit - Build source distributions and wheels to package your code securely - Test your package locally in clean virtual environments using pytest - Publish your completed library to TestPyPI and the official PyPI registry - Implement basic continuous integration workflows for automated packaging This text-based course is designed for beginner to intermediate Python developers who want to share their code with the community or their team. No prior packaging experience is required, though a basic understanding of Python syntax and terminal usage is recommended. Start organizing your Python code into professional, reusable packages today.