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📄 LICENSE.txt Copyright (c) 2005-2023, 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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If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. <one line to give the program's name and a brief idea of what it does.> Copyright (C) <year> <name of author> This program 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 of the License, or (at your option) any later version. This program 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. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. Also add information on how to contact you by electronic and paper mail. If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode: <program> Copyright (C) <year> <name of author> This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an "about box". You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see <http://www.gnu.org/licenses/>. The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read <http://www.gnu.org/philosophy/why-not-lgpl.html>.	44.62 KB	2026-01-20 12:58
📄 LICENSES_bundled.txt 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: tempita Files: tools/npy_tempita/* License: MIT For details, see tools/npy_tempita/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	634 B	2026-01-20 12:58
📄 METADATA Metadata-Version: 2.1 Name: numpy Version: 1.25.1 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> [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)]( https://numfocus.org) [![PyPI Downloads](https://img.shields.io/pypi/dm/numpy.svg?label=PyPI%20downloads)]( https://pypi.org/project/numpy/) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/numpy.svg?label=Conda%20downloads)]( https://anaconda.org/conda-forge/numpy) [![Stack Overflow](https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg)]( https://stackoverflow.com/questions/tagged/numpy) [![Nature Paper](https://img.shields.io/badge/DOI-10.1038%2Fs41592--019--0686--2-blue)]( https://doi.org/10.1038/s41586-020-2649-2) [![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/numpy/numpy/badge)](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.	5.45 KB	2026-01-20 12:58
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📄 REQUESTED	0 B	2026-01-20 12:58
📄 WHEEL Wheel-Version: 1.0 Generator: bdist_wheel (0.38.1) Root-Is-Purelib: false Tag: cp311-cp311-manylinux_2_17_x86_64 Tag: cp311-cp311-manylinux2014_x86_64	152 B	2026-01-20 12:58
📄 entry_points.txt [array_api] numpy = numpy.array_api [console_scripts] f2py = numpy.f2py.f2py2e:main f2py3 = numpy.f2py.f2py2e:main f2py3.11 = numpy.f2py.f2py2e:main [pyinstaller40] hook-dirs = numpy:_pyinstaller_hooks_dir	209 B	2026-01-20 12:58
📄 top_level.txt numpy	6 B	2026-01-20 12:58

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