This guide is a comprehensive resource for contributing to Python – for both new and experienced contributors. It is maintained by the same community that maintains Python. We welcome your contributions to Python!
Here are the basic steps needed to get set up and contribute a patch:
hg clone https://hg.python.org/cpython
./configure --with-pydebug && make -j2
PCbuild\build.bat -e -d
./python -m test -j3
Make the patch.
Submit it to the issue tracker.
We encourage everyone to contribute to Python and that’s why we have put up this developer’s guide. If you still have questions after reviewing the material in this guide, then the Python Mentors group is available to help guide new contributors through the process. The Developer FAQ is another useful source of information.
Guide for contributing to Python:
It is recommended that the above documents be read in the order listed. You can stop where you feel comfortable and begin contributing immediately without reading and understanding these documents all at once. If you do choose to skip around within the documentation, be aware that it is written assuming preceding documentation has been read so you may find it necessary to backtrack to fill in missing concepts and terminology.
Improving Python’s code, documentation and tests are ongoing tasks that are never going to be “finished”, as Python operates as part of an ever-evolving system of technology. An even more challenging ongoing task than these necessary maintenance activities is finding ways to make Python, in the form of the standard library and the language definition, an even better tool in a developer’s toolkit.
While these kinds of change are much rarer than those described above, they do happen and that process is also described as part of this guide:
Also refer to Where should I suggest new features and language changes? in the FAQ.
This guide is specifically for contributing to the Python reference interpreter, also known as CPython (while most of the standard library is written in Python, the interpreter core is written in C and integrates most easily with the C and C++ ecosystems).
There are other Python implementations, each with a different focus. Like CPython, they always have more things they would like to do than they have developers to work on them. Some major example that may be of interest are:
PEPs (Python Enhancement Proposals)
Anyone can clone the sources for this guide. See Helping with the Developer’s Guide.