Packaging and Publishing to PyPI
Discover how to package your Python project for distribution by defining metadata, building source and wheel files, validating package artifacts, and securely publishing them to PyPI or TestPyPI. This lesson guides you from a local codebase to a professionally shareable Python package following industry best practices.
In the previous lesson, we adopted a standard project structure to improve maintainability. However, a well-organized codebase is not automatically shareable. If the project exists only as a local folder, distribution requires manual steps such as archiving the files and transferring them.
To make a project easy to share and install, we package it as a Python distribution that pip can build and install. This means defining metadata (name, version, dependencies), specifying what code should be included, and producing artifacts such as a wheel that can be installed consistently on other machines.
In this lesson, we will convert the simple_tool project into a proper distribution package and publish it through a standard workflow, either to the public Python Package Index (PyPI) or TestPyPI. This process mirrors how professional libraries and internal tooling are distributed in real-world Python environments.
Step 1: Unique identification and metadata
Note: If you are continuing from the previous ...