| # <img alt="NumPy" src="https://ghcdn.rawgit.org/numpy/numpy/master/branding/icons/primary/numpylogo.svg" height="60"> |
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| []( |
| https://travis-ci.com/github/numpy/numpy) |
| []( |
| https://dev.azure.com/numpy/numpy/_build/latest?definitionId=5) |
| []( |
| https://codecov.io/gh/numpy/numpy) |
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| NumPy is the fundamental package needed for scientific computing with Python. |
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| - **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 |
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| It provides: |
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| - 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 |
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| Testing: |
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| - NumPy versions ≥ 1.15 require `pytest` |
| - NumPy versions < 1.15 require `nose` |
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| Tests can then be run after installation with: |
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| python -c 'import numpy; numpy.test()' |
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| Call for Contributions |
| ---------------------- |
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| NumPy appreciates help from a wide range of different backgrounds. |
| Work such as high level documentation or website improvements are valuable |
| and we would like to grow our team with people filling these roles. |
| Small improvements or fixes are always appreciated and issues labeled as easy |
| may be a good starting point. |
| If you are considering larger contributions outside the traditional coding work, |
| please contact us through the mailing list. |
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| [](https://numfocus.org) |
