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NumPy is the fundamental package for scientific computing with Python.

• Website:https://www.numpy.org
• Documentation:https://numpy.org/doc
• Mailing list:https://mail.python.org/mailman/listinfo/numpy-discussion
• Source code:https://github.com/numpy/numpy
• Contributing:https://www.numpy.org/devdocs/dev/index.html
• Bug reports:https://github.com/numpy/numpy/issues
• Report a security vulnerability:https://tidelift.com/docs/security

It provides:

• a powerful N-dimensional array object
• sophisticated (broadcasting) functions
• tools for integrating C/C++ and Fortran code
• useful linear algebra, Fourier transform, and random number capabilities

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 strongcommitment to creating an open, inclusive, and positive community. Please read theNumPy Code of Conduct for guidance on how to interactwith 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 contributionsto the source code, please contact us through themailinglist first.

Writing code isn’t the only way to contribute to NumPy. You can also:

• review pull requests
• help us stay on top of new and old issues
• develop tutorials, presentations, and other educational materials
• maintain and improveour website
• develop graphic design for our brand assets and promotional materials
• translate website content
• help with outreach and onboard new contributors
• write grant proposals and help with other fundraising efforts

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 canask on the mailing list or here, on GitHub, by opening a new issue or leaving acomment on a relevant issue that is already open.

Our preferred channels of communication are all public, but if you’d like tospeak to us in private first, contact our community coordinators atnumpy-team@googlegroups.com or on Slack (writenumpy-team@googlegroups.com foran invitation).

We also have a biweekly community call, details of which are announced on themailing list. You are very welcome to join.

If you are new to contributing to open source,thisguide helps explain why, what,and how to successfully get involved.