NumPy is the fundamental package for scientific computing with Python.
It provides:
Testing:
NumPy requirespytest andhypothesis. Tests can then be run after installation with:
python -c "import numpy, sys; sys.exit(numpy.test() is False)"
NumPy is a community-driven open source project developed by a diverse group ofcontributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read theNumPy Code of Conduct for guidance on how to interact with others in a way that makes our community thrive.
The NumPy project welcomes your expertise and enthusiasm!
Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through themailing list first.
Writing code isn’t the only way to contribute to NumPy. You can also:
For more information about the ways you can contribute to NumPy, visitour website. If you’re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by opening a new issue or leaving a comment on a relevant issue that is already open.
Our preferred channels of communication are all public, but if you’d like to speak to us in private first, contact our community coordinators atnumpy-team@googlegroups.com or on Slack (writenumpy-team@googlegroups.com for an invitation).
We also have a biweekly community call, details of which are announced on the mailing list. You are very welcome to join.
If you are new to contributing to open source,this guide helps explain why, what, and how to successfully get involved.
