This lesson introduces the basics of Python packaging using a tool called Pixi. This course is designed for intermediate Python users.

======= Abstract========

Packaging is one of the most critical yet overlooked skills for Python developers. This course introduces you to modern, reliable, and reproducible packaging workflows using Pixi, a powerful tool that combines the best of PyPI and Conda^*.

Through hands-on lessons, you’ll learn:

• Why packaging matters for reproducibility, versioning, and collaboration.
• How to structure Python projects with best practices.
• Managing dependencies and lockfiles with Pixi for consistent environments.
• Writing clear and complete metadata (pyproject.toml / pixi.toml).
• Building Python packages (source + wheel distributions).
• Publishing your projects to TestPyPI and PyPI^* using Twine.

By the end of the course, you will:

• Understand the complete packaging workflow from code → distribution → installation.
• Be able to confidently release your own Python packages to the community.
• Gain a reproducible, professional workflow for managing Python projects.

This course is ideal for Python developers, data scientists, and researchers who want to share their work, ensure reproducibility, and adopt industry-standard packaging practices, without the usual complexity.

^* not covered in this course yet.