{"author":"Travis E. Oliphant et al.","author_email":null,"bugtrack_url":null,"classifiers":["Development Status :: 5 - Production/Stable","Intended Audience :: Developers","Intended Audience :: Science/Research","License :: OSI Approved :: BSD License","Operating System :: MacOS","Operating System :: Microsoft :: Windows","Operating System :: POSIX","Operating System :: Unix","Programming Language :: C","Programming Language :: Python","Programming Language :: Python :: 3","Programming Language :: Python :: 3 :: Only","Programming Language :: Python :: 3.10","Programming Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming Language :: Python :: 3.13","Programming Language :: Python :: Implementation :: CPython","Topic :: Scientific/Engineering","Topic :: Software Development","Typing :: Typed"],"description":"

\n\n

\n\n\n[![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](\nhttps://numfocus.org)\n[![PyPI Downloads](https://img.shields.io/pypi/dm/numpy.svg?label=PyPI%20downloads)](\nhttps://pypi.org/project/numpy/)\n[![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/numpy.svg?label=Conda%20downloads)](\nhttps://anaconda.org/conda-forge/numpy)\n[![Stack Overflow](https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg)](\nhttps://stackoverflow.com/questions/tagged/numpy)\n[![Nature Paper](https://img.shields.io/badge/DOI-10.1038%2Fs41586--020--2649--2-blue)](\nhttps://doi.org/10.1038/s41586-020-2649-2)\n[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/numpy/numpy/badge)](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’t 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’re unsure where to start or how your skills fit in, reach out! 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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","description_content_type":"text/markdown","docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":null,"keywords":null,"license":"Copyright (c) 2005-2024, NumPy Developers.\n All rights reserved.\n \n Redistribution and use in source and binary forms, with or without\n modification, are permitted provided that the following conditions are\n met:\n \n * Redistributions of source code must retain the above copyright\n notice, this list of conditions and the following disclaimer.\n \n * Redistributions in binary form must reproduce the above\n copyright notice, this list of conditions and the following\n disclaimer in the documentation and/or other materials provided\n with the distribution.\n \n * Neither the name of the NumPy Developers nor the names of any\n contributors may be used to endorse or promote products derived\n from this software without specific prior written permission.\n \n THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS\n \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT\n LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR\n A PARTICULAR PURPOSE ARE DISCLAIMED. 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Interpretation of Sections 15 and 16.\n \n If the disclaimer of warranty and limitation of liability provided\n above cannot be given local legal effect according to their terms,\n reviewing courts shall apply local law that most closely approximates\n an absolute waiver of all civil liability in connection with the\n Program, unless a warranty or assumption of liability accompanies a\n copy of the Program in return for a fee.\n \n END OF TERMS AND CONDITIONS\n \n How to Apply These Terms to Your New Programs\n \n If you develop a new program, and you want it to be of the greatest\n possible use to the public, the best way to achieve this is to make it\n free software which everyone can redistribute and change under these terms.\n \n To do so, attach the following notices to the program. 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If not, see .\n \n Also add information on how to contact you by electronic and paper mail.\n \n If the program does terminal interaction, make it output a short\n notice like this when it starts in an interactive mode:\n \n Copyright (C) \n This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.\n This is free software, and you are welcome to redistribute it\n under certain conditions; type `show c' for details.\n \n The hypothetical commands `show w' and `show c' should show the appropriate\n parts of the General Public License. Of course, your program's commands\n might be different; for a GUI interface, you would use an \"about box\".\n \n You should also get your employer (if you work as a programmer) or school,\n if any, to sign a \"copyright disclaimer\" for the program, if necessary.\n For more information on this, and how to apply and follow the GNU GPL, see\n .\n \n The GNU General Public License does not permit incorporating your program\n into proprietary programs. If your program is a subroutine library, you\n may consider it more useful to permit linking proprietary applications with\n the library. If this is what you want to do, use the GNU Lesser General\n Public License instead of this License. But first, please read\n .\n \n Name: libquadmath\n Files: numpy/.dylibs/libquadmath*.so\n Description: dynamically linked to files compiled with gcc\n Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libquadmath\n License: LGPL-2.1-or-later\n \n GCC Quad-Precision Math Library\n Copyright (C) 2010-2019 Free Software Foundation, Inc.\n Written by Francois-Xavier Coudert \n \n This file is part of the libquadmath library.\n Libquadmath is free software; you can redistribute it and/or\n modify it under the terms of the GNU Library General Public\n License as published by the Free Software Foundation; either\n version 2.1 of the License, or (at your option) any later version.\n \n Libquadmath is distributed in the hope that it will be useful,\n but WITHOUT ANY WARRANTY; without even the implied warranty of\n MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU\n Lesser General Public License for more details.\n https://www.gnu.org/licenses/old-licenses/lgpl-2.1.html\n ","license_expression":null,"license_files":null,"maintainer":null,"maintainer_email":"NumPy Developers ","name":"numpy","package_url":"https://pypi.org/project/numpy/","platform":null,"project_url":"https://pypi.org/project/numpy/","project_urls":{"documentation":"https://numpy.org/doc/","download":"https://pypi.org/project/numpy/#files","homepage":"https://numpy.org","release notes":"https://numpy.org/doc/stable/release","source":"https://github.com/numpy/numpy","tracker":"https://github.com/numpy/numpy/issues"},"provides_extra":null,"release_url":"https://pypi.org/project/numpy/2.2.6/","requires_dist":null,"requires_python":">=3.10","summary":"Fundamental package for array computing in Python","version":"2.2.6","yanked":false,"yanked_reason":null}

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