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| Metadata-Version: 2.1 | |
| Name: numpy | |
| Version: 1.25.2 | |
| 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/1.25 | |
| 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 :: 3.9 | |
| 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: >=3.9 | |
| Description-Content-Type: text/markdown | |
| License-File: LICENSE.txt | |
| License-File: LICENSES_bundled.txt | |
| <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://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, 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. | |