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This tutorial explains why Python projects need packaging, introduces essential tools like setuptools, wheel, and twine, shows the recommended project layout, walks through creating a setup.py file, building distribution files, testing locally, uploading to PyPI, and handling version updates and common questions.
PyPA, the Python Packaging Authority, oversees key tools such as pip, setuptools, packaging, wheel, virtualenv, twine, and build, each serving distinct roles in package installation, creation, distribution, and environment isolation, with pyproject.toml coordinating their interactions to streamline Python development workflows.
This article explains how to use Setuptools to manage dependencies, package source code, and provide command-line tools, and demonstrates a step‑by‑step example of integrating Sphinx to automatically generate documentation and include it in a Python package build.
This article reviews the most useful additions to the Python standard library—Pathlib, Secrets, Zoneinfo, Dataclasses, proper logging, f‑strings, Tomllib and Setuptools—explaining why they replace older modules, showing concise code examples, and offering guidance on adopting them in everyday projects.
Setuptools is a Python packaging tool that manages dependencies, bundles source code, installs scripts, and provides command-line utilities, and when combined with Sphinx it can automatically generate project documentation, which can be integrated into the build process via a custom build command in setup.py.
This article provides a comprehensive overview of Python package management tools—including PyPI, setuptools, pip, virtualenv, and conda—explaining their purposes, core features, and basic usage commands for creating, sharing, and managing Python packages and environments.
This article provides a comprehensive overview of Python package management tools, explaining the roles and relationships of distutils, setuptools, distribute, easy_install, and pip, and includes practical examples and commands for installing and using these tools effectively.
This article explains the evolution of Python packaging, compares legacy tools like distutils and setuptools with modern solutions such as Poetry, details how to create and configure pyproject.toml, setup.py, and requirements files, and provides practical guidance on building wheels, eggs, and publishing packages to PyPI.