| # <img alt="NumPy" src="branding/icons/numpylogo.svg" height="60"> |
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| [](https://travis-ci.org/numpy/numpy) |
| [](https://ci.appveyor.com/project/charris/numpy) |
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| NumPy is the fundamental package needed for scientific computing with Python. |
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| - **Website (including documentation):** http://www.numpy.org |
| - **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion |
| - **Source:** https://github.com/numpy/numpy |
| - **Bug reports:** https://github.com/numpy/numpy/issues |
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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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| If ``nose`` is installed, tests can be run after installation with: |
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| python -c 'import numpy; numpy.test()' |
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| [](https://numfocus.org) |
