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| The NumPy repository and source distributions bundle several libraries that are | ||
| compatibly licensed. We list these here. | ||
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| Name: lapack-lite | ||
| Files: numpy/linalg/lapack_lite/* | ||
| License: BSD-3-Clause | ||
| For details, see numpy/linalg/lapack_lite/LICENSE.txt | ||
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| Name: tempita | ||
| Files: tools/npy_tempita/* | ||
| License: MIT | ||
| For details, see tools/npy_tempita/license.txt | ||
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| Name: dragon4 | ||
| Files: numpy/core/src/multiarray/dragon4.c | ||
| License: MIT | ||
| For license text, see numpy/core/src/multiarray/dragon4.c | ||
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| Name: libdivide | ||
| Files: numpy/core/include/numpy/libdivide/* | ||
| License: Zlib | ||
| For license text, see numpy/core/include/numpy/libdivide/LICENSE.txt |
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| Metadata-Version: 2.1 | ||
| Name: numpy | ||
| Version: 1.24.2 | ||
| 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: [email protected] | ||
| 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 | ||
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| <h1 align="center"> | ||
| <img src="/branding/logo/primary/numpylogo.svg" width="300"> | ||
| </h1><br> | ||
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| []( | ||
| 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) | ||
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| NumPy is the fundamental package 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 requires `pytest` and `hypothesis`. Tests can then be run after installation with: | ||
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| python -c 'import numpy; numpy.test()' | ||
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| Code of Conduct | ||
| ---------------------- | ||
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| 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. | ||
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| Call for Contributions | ||
| ---------------------- | ||
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| The NumPy project welcomes your expertise and enthusiasm! | ||
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| 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. | ||
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| 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 | ||
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| 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. | ||
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| 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 | ||
| [email protected] or on Slack (write [email protected] for | ||
| an invitation). | ||
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| We also have a biweekly community call, details of which are announced on the | ||
| mailing list. You are very welcome to join. | ||
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| 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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