| Name | numpy JSON |
| Version |
2.2.2
JSON |
| download |
| home_page | None |
| Summary | Fundamental package for array computing in Python |
| upload_time | 2025-01-19 00:02:09 |
| maintainer | None |
| docs_url | None |
| author | Travis E. Oliphant et al. |
| requires_python | >=3.10 |
| license | Copyright (c) 2005-2024, NumPy Developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the NumPy Developers nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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<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://securityscorecards.dev/viewer/?uri=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.
Raw data
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"requires_python": ">=3.10",
"maintainer_email": "NumPy Developers <numpy-discussion@python.org>",
"keywords": null,
"author": "Travis E. Oliphant et al.",
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"download_url": "https://files.pythonhosted.org/packages/ec/d0/c12ddfd3a02274be06ffc71f3efc6d0e457b0409c4481596881e748cb264/numpy-2.2.2.tar.gz",
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"description": "<h1 align=\"center\">\n<img src=\"https://raw.githubusercontent.com/numpy/numpy/main/branding/logo/primary/numpylogo.svg\" width=\"300\">\n</h1><br>\n\n\n[](\nhttps://numfocus.org)\n[](\nhttps://pypi.org/project/numpy/)\n[](\nhttps://anaconda.org/conda-forge/numpy)\n[](\nhttps://stackoverflow.com/questions/tagged/numpy)\n[](\nhttps://doi.org/10.1038/s41586-020-2649-2)\n[](https://securityscorecards.dev/viewer/?uri=github.com/numpy/numpy)\n\n\nNumPy is the fundamental package for scientific computing with Python.\n\n- **Website:** https://www.numpy.org\n- **Documentation:** https://numpy.org/doc\n- **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion\n- **Source code:** https://github.com/numpy/numpy\n- **Contributing:** https://www.numpy.org/devdocs/dev/index.html\n- **Bug reports:** https://github.com/numpy/numpy/issues\n- **Report a security vulnerability:** https://tidelift.com/docs/security\n\nIt provides:\n\n- a powerful N-dimensional array object\n- sophisticated (broadcasting) functions\n- tools for integrating C/C++ and Fortran code\n- useful linear algebra, Fourier transform, and random number capabilities\n\nTesting:\n\nNumPy requires `pytest` and `hypothesis`. Tests can then be run after installation with:\n\n python -c \"import numpy, sys; sys.exit(numpy.test() is False)\"\n\nCode of Conduct\n----------------------\n\nNumPy is a community-driven open source project developed by a diverse group of\n[contributors](https://numpy.org/teams/). The NumPy leadership has made a strong\ncommitment to creating an open, inclusive, and positive community. Please read the\n[NumPy Code of Conduct](https://numpy.org/code-of-conduct/) for guidance on how to interact\nwith others in a way that makes our community thrive.\n\nCall for Contributions\n----------------------\n\nThe NumPy project welcomes your expertise and enthusiasm!\n\nSmall improvements or fixes are always appreciated. If you are considering larger contributions\nto the source code, please contact us through the [mailing\nlist](https://mail.python.org/mailman/listinfo/numpy-discussion) first.\n\nWriting code isn\u2019t the only way to contribute to NumPy. You can also:\n- review pull requests\n- help us stay on top of new and old issues\n- develop tutorials, presentations, and other educational materials\n- maintain and improve [our website](https://github.com/numpy/numpy.org)\n- develop graphic design for our brand assets and promotional materials\n- translate website content\n- help with outreach and onboard new contributors\n- write grant proposals and help with other fundraising efforts\n\nFor more information about the ways you can contribute to NumPy, visit [our website](https://numpy.org/contribute/). \nIf you\u2019re unsure where to start or how your skills fit in, reach out! You can\nask on the mailing list or here, on GitHub, by opening a new issue or leaving a\ncomment on a relevant issue that is already open.\n\nOur preferred channels of communication are all public, but if you\u2019d like to\nspeak to us in private first, contact our community coordinators at\nnumpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for\nan invitation).\n\nWe also have a biweekly community call, details of which are announced on the\nmailing list. You are very welcome to join.\n\nIf you are new to contributing to open source, [this\nguide](https://opensource.guide/how-to-contribute/) helps explain why, what,\nand how to successfully get involved.\n",
"bugtrack_url": null,
"license": "Copyright (c) 2005-2024, NumPy Developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the NumPy Developers nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ---- The NumPy repository and source distributions bundle several libraries that are compatibly licensed. We list these here. Name: lapack-lite Files: numpy/linalg/lapack_lite/* License: BSD-3-Clause For details, see numpy/linalg/lapack_lite/LICENSE.txt Name: dragon4 Files: numpy/_core/src/multiarray/dragon4.c License: MIT For license text, see numpy/_core/src/multiarray/dragon4.c Name: libdivide Files: numpy/_core/include/numpy/libdivide/* License: Zlib For license text, see numpy/_core/include/numpy/libdivide/LICENSE.txt Note that the following files are vendored in the repository and sdist but not installed in built numpy packages: Name: Meson Files: vendored-meson/meson/* License: Apache 2.0 For license text, see vendored-meson/meson/COPYING Name: spin Files: .spin/cmds.py License: BSD-3 For license text, see .spin/LICENSE Name: tempita Files: numpy/_build_utils/tempita/* License: MIT For details, see numpy/_build_utils/tempita/LICENCE.txt ---- This binary distribution of NumPy also bundles the following software: Name: OpenBLAS Files: numpy/.dylibs/libscipy_openblas*.so Description: bundled as a dynamically linked library Availability: https://github.com/OpenMathLib/OpenBLAS/ License: BSD-3-Clause Copyright (c) 2011-2014, The OpenBLAS Project All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the OpenBLAS project nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Name: LAPACK Files: numpy/.dylibs/libscipy_openblas*.so Description: bundled in OpenBLAS Availability: https://github.com/OpenMathLib/OpenBLAS/ License: BSD-3-Clause-Attribution Copyright (c) 1992-2013 The University of Tennessee and The University of Tennessee Research Foundation. All rights reserved. Copyright (c) 2000-2013 The University of California Berkeley. All rights reserved. Copyright (c) 2006-2013 The University of Colorado Denver. All rights reserved. $COPYRIGHT$ Additional copyrights may follow $HEADER$ Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: - Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer listed in this license in the documentation and/or other materials provided with the distribution. - Neither the name of the copyright holders nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. The copyright holders provide no reassurances that the source code provided does not infringe any patent, copyright, or any other intellectual property rights of third parties. The copyright holders disclaim any liability to any recipient for claims brought against recipient by any third party for infringement of that parties intellectual property rights. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Name: GCC runtime library Files: numpy/.dylibs/libgfortran*, numpy/.dylibs/libgcc* Description: dynamically linked to files compiled with gcc Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libgfortran License: GPL-3.0-with-GCC-exception Copyright (C) 2002-2017 Free Software Foundation, Inc. Libgfortran is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3, or (at your option) any later version. Libgfortran is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. Under Section 7 of GPL version 3, you are granted additional permissions described in the GCC Runtime Library Exception, version 3.1, as published by the Free Software Foundation. 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A file is an \"Independent Module\" if it either requires the Runtime Library for execution after a Compilation Process, or makes use of an interface provided by the Runtime Library, but is not otherwise based on the Runtime Library. \"GCC\" means a version of the GNU Compiler Collection, with or without modifications, governed by version 3 (or a specified later version) of the GNU General Public License (GPL) with the option of using any subsequent versions published by the FSF. \"GPL-compatible Software\" is software whose conditions of propagation, modification and use would permit combination with GCC in accord with the license of GCC. \"Target Code\" refers to output from any compiler for a real or virtual target processor architecture, in executable form or suitable for input to an assembler, loader, linker and/or execution phase. 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