| <h1 align="center"> |
| <img src="https://raw.githubusercontent.com/numpy/numpy/main/branding/logo/primary/numpylogo.svg" width="300"> |
| </h1><br> |
| |
| |
| []( |
| https://numfocus.org) |
| []( |
| https://pypi.org/project/numpy/) |
| []( |
| https://anaconda.org/conda-forge/numpy) |
| []( |
| https://stackoverflow.com/questions/tagged/numpy) |
| []( |
| https://doi.org/10.1038/s41586-020-2649-2) |
| [](https://securityscorecards.dev/viewer/?uri=github.com/numpy/numpy) |
| |
| |
| 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 requires `pytest` and `hypothesis`. Tests can then be run after installation with: |
| |
| python -c "import numpy, sys; sys.exit(numpy.test() is False)" |
| |
| Code of Conduct |
| ---------------------- |
| |
| NumPy is a community-driven open source project developed by a diverse group of |
| [contributors](https://numpy.org/teams/). The NumPy leadership has made a strong |
| commitment to creating an open, inclusive, and positive community. Please read the |
| [NumPy Code of Conduct](https://numpy.org/code-of-conduct/) for guidance on how to interact |
| with others in a way that makes our community thrive. |
| |
| Call for Contributions |
| ---------------------- |
| |
| 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 the [mailing |
| list](https://mail.python.org/mailman/listinfo/numpy-discussion) 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 improve [our website](https://github.com/numpy/numpy.org) |
| - 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, visit [our website](https://numpy.org/contribute/). |
| 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 at |
| numpy-team@googlegroups.com or on Slack (write numpy-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](https://opensource.guide/how-to-contribute/) helps explain why, what, |
| and how to successfully get involved. |
