jpayne@69: Metadata-Version: 2.1 jpayne@69: Name: numpy jpayne@69: Version: 1.24.4 jpayne@69: Summary: Fundamental package for array computing in Python jpayne@69: Home-page: https://www.numpy.org jpayne@69: Author: Travis E. Oliphant et al. jpayne@69: Maintainer: NumPy Developers jpayne@69: Maintainer-email: numpy-discussion@python.org jpayne@69: License: BSD-3-Clause jpayne@69: Download-URL: https://pypi.python.org/pypi/numpy jpayne@69: Project-URL: Bug Tracker, https://github.com/numpy/numpy/issues jpayne@69: Project-URL: Documentation, https://numpy.org/doc/1.24 jpayne@69: Project-URL: Source Code, https://github.com/numpy/numpy jpayne@69: Platform: Windows jpayne@69: Platform: Linux jpayne@69: Platform: Solaris jpayne@69: Platform: Mac OS-X jpayne@69: Platform: Unix jpayne@69: Classifier: Development Status :: 5 - Production/Stable jpayne@69: Classifier: Intended Audience :: Science/Research jpayne@69: Classifier: Intended Audience :: Developers jpayne@69: Classifier: License :: OSI Approved :: BSD License jpayne@69: Classifier: Programming Language :: C jpayne@69: Classifier: Programming Language :: Python jpayne@69: Classifier: Programming Language :: Python :: 3 jpayne@69: Classifier: Programming Language :: Python :: 3.8 jpayne@69: Classifier: Programming Language :: Python :: 3.9 jpayne@69: Classifier: Programming Language :: Python :: 3.10 jpayne@69: Classifier: Programming Language :: Python :: 3.11 jpayne@69: Classifier: Programming Language :: Python :: 3 :: Only jpayne@69: Classifier: Programming Language :: Python :: Implementation :: CPython jpayne@69: Classifier: Topic :: Software Development jpayne@69: Classifier: Topic :: Scientific/Engineering jpayne@69: Classifier: Typing :: Typed jpayne@69: Classifier: Operating System :: Microsoft :: Windows jpayne@69: Classifier: Operating System :: POSIX jpayne@69: Classifier: Operating System :: Unix jpayne@69: Classifier: Operating System :: MacOS jpayne@69: Requires-Python: >=3.8 jpayne@69: Description-Content-Type: text/markdown jpayne@69: License-File: LICENSE.txt jpayne@69: License-File: LICENSES_bundled.txt jpayne@69: jpayne@69:

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jpayne@69: jpayne@69: jpayne@69: [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)]( jpayne@69: https://numfocus.org) jpayne@69: [![PyPI Downloads](https://img.shields.io/pypi/dm/numpy.svg?label=PyPI%20downloads)]( jpayne@69: https://pypi.org/project/numpy/) jpayne@69: [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/numpy.svg?label=Conda%20downloads)]( jpayne@69: https://anaconda.org/conda-forge/numpy) jpayne@69: [![Stack Overflow](https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg)]( jpayne@69: https://stackoverflow.com/questions/tagged/numpy) jpayne@69: [![Nature Paper](https://img.shields.io/badge/DOI-10.1038%2Fs41592--019--0686--2-blue)]( jpayne@69: https://doi.org/10.1038/s41586-020-2649-2) jpayne@69: [![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/numpy/numpy/badge)](https://api.securityscorecards.dev/projects/github.com/numpy/numpy) jpayne@69: jpayne@69: jpayne@69: NumPy is the fundamental package for scientific computing with Python. jpayne@69: jpayne@69: - **Website:** https://www.numpy.org jpayne@69: - **Documentation:** https://numpy.org/doc jpayne@69: - **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion jpayne@69: - **Source code:** https://github.com/numpy/numpy jpayne@69: - **Contributing:** https://www.numpy.org/devdocs/dev/index.html jpayne@69: - **Bug reports:** https://github.com/numpy/numpy/issues jpayne@69: - **Report a security vulnerability:** https://tidelift.com/docs/security jpayne@69: jpayne@69: It provides: jpayne@69: jpayne@69: - a powerful N-dimensional array object jpayne@69: - sophisticated (broadcasting) functions jpayne@69: - tools for integrating C/C++ and Fortran code jpayne@69: - useful linear algebra, Fourier transform, and random number capabilities jpayne@69: jpayne@69: Testing: jpayne@69: jpayne@69: NumPy requires `pytest` and `hypothesis`. Tests can then be run after installation with: jpayne@69: jpayne@69: python -c 'import numpy; numpy.test()' jpayne@69: jpayne@69: Code of Conduct jpayne@69: ---------------------- jpayne@69: jpayne@69: NumPy is a community-driven open source project developed by a diverse group of jpayne@69: [contributors](https://numpy.org/teams/). The NumPy leadership has made a strong jpayne@69: commitment to creating an open, inclusive, and positive community. Please read the jpayne@69: [NumPy Code of Conduct](https://numpy.org/code-of-conduct/) for guidance on how to interact jpayne@69: with others in a way that makes our community thrive. jpayne@69: jpayne@69: Call for Contributions jpayne@69: ---------------------- jpayne@69: jpayne@69: The NumPy project welcomes your expertise and enthusiasm! jpayne@69: jpayne@69: Small improvements or fixes are always appreciated. If you are considering larger contributions jpayne@69: to the source code, please contact us through the [mailing jpayne@69: list](https://mail.python.org/mailman/listinfo/numpy-discussion) first. jpayne@69: jpayne@69: Writing code isn’t the only way to contribute to NumPy. You can also: jpayne@69: - review pull requests jpayne@69: - help us stay on top of new and old issues jpayne@69: - develop tutorials, presentations, and other educational materials jpayne@69: - maintain and improve [our website](https://github.com/numpy/numpy.org) jpayne@69: - develop graphic design for our brand assets and promotional materials jpayne@69: - translate website content jpayne@69: - help with outreach and onboard new contributors jpayne@69: - write grant proposals and help with other fundraising efforts jpayne@69: jpayne@69: For more information about the ways you can contribute to NumPy, visit [our website](https://numpy.org/contribute/). jpayne@69: If you’re unsure where to start or how your skills fit in, reach out! You can jpayne@69: ask on the mailing list or here, on GitHub, by opening a new issue or leaving a jpayne@69: comment on a relevant issue that is already open. jpayne@69: jpayne@69: Our preferred channels of communication are all public, but if you’d like to jpayne@69: speak to us in private first, contact our community coordinators at jpayne@69: numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for jpayne@69: an invitation). jpayne@69: jpayne@69: We also have a biweekly community call, details of which are announced on the jpayne@69: mailing list. You are very welcome to join. jpayne@69: jpayne@69: If you are new to contributing to open source, [this jpayne@69: guide](https://opensource.guide/how-to-contribute/) helps explain why, what, jpayne@69: and how to successfully get involved. jpayne@69: jpayne@69: