python-packaging

To create a Python package using pyproject.toml, configure your project metadata and build backend according to PEP 517 and PEP 621 standards. This Skill provides comprehensive guidance on structuring your project and defining settings for setuptools to build distributable files.

The best way to publish a Python package to PyPI involves building your distributable files locally and uploading them through standard publishing workflows. This Skill covers local builds, publishing to PyPI or TestPyPI, and setting up automated distribution workflows.

Setuptools works with modern Python packaging by acting as a build backend configured through pyproject.toml. This Skill demonstrates how to leverage setuptools for managing package layouts, building distributions, and including data files or C extensions in your project.

Yes, you can include C extensions and data files when building Python packages. This Skill provides comprehensive guidance on managing package layouts, data file inclusion, and compiling C extensions within your pyproject.toml configuration.

The recommended project layouts for Python distribution are the src layout and the flat layout. This Skill guides you through structuring your project using these layouts to ensure your code is easily shareable and installable by others.

You need pyproject.toml for your Python library to define project metadata, dependencies, and build backends according to modern packaging standards like PEP 517 and PEP 621. This configuration replaces older methods, streamlining the creation and distribution process.