As a popular open source development project, Python has an active supporting community of contributors and users that also make their software available for other Python developers to use under open source license terms.
This allows Python users to share and collaborate effectively, benefiting from the solutions others have already created to common (and sometimes even rare!) problems, as well as potentially contributing their own solutions to the common pool.
This guide covers the distribution part of the process. For a guide to installing other Python projects, refer to the installation guide.
Note
For corporate and other institutional users, be aware that many organisations have their own policies around using and contributing to open source software. Please take such policies into account when making use of the distribution and installation tools provided with Python.
distutils is the original build and distribution system first added to the Python standard library in 1998. While direct use of distutils is being phased out, it still laid the foundation for the current packaging and distribution infrastructure, and it not only remains part of the standard library, but its name lives on in other ways (such as the name of the mailing list used to coordinate Python packaging standards development).distutils first published in 2004. Its most notable addition over the unmodified distutils tools was the ability to declare dependencies on other packages. It is currently recommended as a more regularly updated alternative to distutils that offers consistent support for more recent packaging standards across a wide range of Python versions.bdist_wheel command to distutils/setuptools. This produces a cross platform binary packaging format (called “wheels” or “wheel files” and defined in PEP 427) that allows Python libraries, even those including binary extensions, to be installed on a system without needing to be built locally.
In most parts of the world, software is automatically covered by copyright. This means that other developers require explicit permission to copy, use, modify and redistribute the software.
Open source licensing is a way of explicitly granting such permission in a relatively consistent way, allowing developers to share and collaborate efficiently by making common solutions to various problems freely available. This leaves many developers free to spend more time focusing on the problems that are relatively unique to their specific situation.
The distribution tools provided with Python are designed to make it reasonably straightforward for developers to make their own contributions back to that common pool of software if they choose to do so.
The same distribution tools can also be used to distribute software within an organisation, regardless of whether that software is published as open source software or not.
The standard library does not include build tools that support modern Python packaging standards, as the core development team has found that it is important to have standard tools that work consistently, even on older versions of Python.
The currently recommended build and distribution tools can be installed
by invoking the pip module at the command line:
python -m pip install setuptools wheel twine
Note
For POSIX users (including Mac OS X and Linux users), these instructions assume the use of a virtual environment.
For Windows users, these instructions assume that the option to adjust the system PATH environment variable was selected when installing Python.
The Python Packaging User Guide includes more details on the [https://packaging.python.org/guides/tool-recommendations/#packaging-tool-recommendations currently recommended tools].
The Python Packaging User Guide covers the various key steps and elements involved in creating and publishing a project:
These are quick answers or links for some common tasks.
This isn’t an easy topic, but here are a few tips:
This is actually quite a complex topic, with a variety of alternatives available depending on exactly what you’re aiming to achieve. See the Python Packaging User Guide for more information and recommendations.