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- Metadata-Version: 2.1
- Name: numpy
- Version: 1.24.4
- Summary: Fundamental package for array computing in Python
- Home-page: https://www.numpy.org
- Author: Travis E. Oliphant et al.
- Maintainer: NumPy Developers
- Maintainer-email: numpy-discussion@python.org
- License: BSD-3-Clause
- Download-URL: https://pypi.python.org/pypi/numpy
- Project-URL: Bug Tracker, https://github.com/numpy/numpy/issues
- Project-URL: Documentation, https://numpy.org/doc/1.24
- Project-URL: Source Code, https://github.com/numpy/numpy
- Platform: Windows
- Platform: Linux
- Platform: Solaris
- Platform: Mac OS-X
- Platform: Unix
- Classifier: Development Status :: 5 - Production/Stable
- Classifier: Intended Audience :: Science/Research
- Classifier: Intended Audience :: Developers
- Classifier: License :: OSI Approved :: BSD License
- Classifier: Programming Language :: C
- Classifier: Programming Language :: Python
- Classifier: Programming Language :: Python :: 3
- Classifier: Programming Language :: Python :: 3.8
- Classifier: Programming Language :: Python :: 3.9
- Classifier: Programming Language :: Python :: 3.10
- Classifier: Programming Language :: Python :: 3.11
- Classifier: Programming Language :: Python :: 3 :: Only
- Classifier: Programming Language :: Python :: Implementation :: CPython
- Classifier: Topic :: Software Development
- Classifier: Topic :: Scientific/Engineering
- Classifier: Typing :: Typed
- Classifier: Operating System :: Microsoft :: Windows
- Classifier: Operating System :: POSIX
- Classifier: Operating System :: Unix
- Classifier: Operating System :: MacOS
- Requires-Python: >=3.8
- Description-Content-Type: text/markdown
- License-File: LICENSE.txt
- License-File: LICENSES_bundled.txt
- <h1 align="center">
- <img src="/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://api.securityscorecards.dev/projects/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; numpy.test()'
- 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.
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