python-packaging

To create a Python package using pyproject.toml, define standard project layouts and manage package metadata within the pyproject.toml file following modern PEP 517/518 standards. This establishes a reproducible structure for your code.

Python packaging with pyproject.toml supports multiple build backends including setuptools, hatchling, flit, and poetry. You can choose the appropriate build backend in your configuration to manage your project's specific distribution needs.

To publish a Python package to PyPI, configure your project metadata and build your distribution files. You can then upload and publish your package directly to PyPI or TestPyPI for testing before final release.

Yes, you can include C extensions and data files when building Python packages. Advanced Python packaging features support namespace packages, C extensions, and data file inclusion alongside standard source and flat layouts.

Yes, this Python packaging approach supports creating command-line interfaces. You can integrate CLI tools into your package using click or argparse, allowing you to distribute executable scripts alongside your Python libraries.