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planemo upload commit 2e9511a184a1ca667c7be0c6321a36dc4e3d116d
author jpayne
date Tue, 18 Mar 2025 17:55:14 -0400
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1 Metadata-Version: 2.1
2 Name: numpy
3 Version: 1.24.4
4 Summary: Fundamental package for array computing in Python
5 Home-page: https://www.numpy.org
6 Author: Travis E. Oliphant et al.
7 Maintainer: NumPy Developers
8 Maintainer-email: numpy-discussion@python.org
9 License: BSD-3-Clause
10 Download-URL: https://pypi.python.org/pypi/numpy
11 Project-URL: Bug Tracker, https://github.com/numpy/numpy/issues
12 Project-URL: Documentation, https://numpy.org/doc/1.24
13 Project-URL: Source Code, https://github.com/numpy/numpy
14 Platform: Windows
15 Platform: Linux
16 Platform: Solaris
17 Platform: Mac OS-X
18 Platform: Unix
19 Classifier: Development Status :: 5 - Production/Stable
20 Classifier: Intended Audience :: Science/Research
21 Classifier: Intended Audience :: Developers
22 Classifier: License :: OSI Approved :: BSD License
23 Classifier: Programming Language :: C
24 Classifier: Programming Language :: Python
25 Classifier: Programming Language :: Python :: 3
26 Classifier: Programming Language :: Python :: 3.8
27 Classifier: Programming Language :: Python :: 3.9
28 Classifier: Programming Language :: Python :: 3.10
29 Classifier: Programming Language :: Python :: 3.11
30 Classifier: Programming Language :: Python :: 3 :: Only
31 Classifier: Programming Language :: Python :: Implementation :: CPython
32 Classifier: Topic :: Software Development
33 Classifier: Topic :: Scientific/Engineering
34 Classifier: Typing :: Typed
35 Classifier: Operating System :: Microsoft :: Windows
36 Classifier: Operating System :: POSIX
37 Classifier: Operating System :: Unix
38 Classifier: Operating System :: MacOS
39 Requires-Python: >=3.8
40 Description-Content-Type: text/markdown
41 License-File: LICENSE.txt
42 License-File: LICENSES_bundled.txt
43
44 <h1 align="center">
45 <img src="/branding/logo/primary/numpylogo.svg" width="300">
46 </h1><br>
47
48
49 [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](
50 https://numfocus.org)
51 [![PyPI Downloads](https://img.shields.io/pypi/dm/numpy.svg?label=PyPI%20downloads)](
52 https://pypi.org/project/numpy/)
53 [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/numpy.svg?label=Conda%20downloads)](
54 https://anaconda.org/conda-forge/numpy)
55 [![Stack Overflow](https://img.shields.io/badge/stackoverflow-Ask%20questions-blue.svg)](
56 https://stackoverflow.com/questions/tagged/numpy)
57 [![Nature Paper](https://img.shields.io/badge/DOI-10.1038%2Fs41592--019--0686--2-blue)](
58 https://doi.org/10.1038/s41586-020-2649-2)
59 [![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/numpy/numpy/badge)](https://api.securityscorecards.dev/projects/github.com/numpy/numpy)
60
61
62 NumPy is the fundamental package for scientific computing with Python.
63
64 - **Website:** https://www.numpy.org
65 - **Documentation:** https://numpy.org/doc
66 - **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion
67 - **Source code:** https://github.com/numpy/numpy
68 - **Contributing:** https://www.numpy.org/devdocs/dev/index.html
69 - **Bug reports:** https://github.com/numpy/numpy/issues
70 - **Report a security vulnerability:** https://tidelift.com/docs/security
71
72 It provides:
73
74 - a powerful N-dimensional array object
75 - sophisticated (broadcasting) functions
76 - tools for integrating C/C++ and Fortran code
77 - useful linear algebra, Fourier transform, and random number capabilities
78
79 Testing:
80
81 NumPy requires `pytest` and `hypothesis`. Tests can then be run after installation with:
82
83 python -c 'import numpy; numpy.test()'
84
85 Code of Conduct
86 ----------------------
87
88 NumPy is a community-driven open source project developed by a diverse group of
89 [contributors](https://numpy.org/teams/). The NumPy leadership has made a strong
90 commitment to creating an open, inclusive, and positive community. Please read the
91 [NumPy Code of Conduct](https://numpy.org/code-of-conduct/) for guidance on how to interact
92 with others in a way that makes our community thrive.
93
94 Call for Contributions
95 ----------------------
96
97 The NumPy project welcomes your expertise and enthusiasm!
98
99 Small improvements or fixes are always appreciated. If you are considering larger contributions
100 to the source code, please contact us through the [mailing
101 list](https://mail.python.org/mailman/listinfo/numpy-discussion) first.
102
103 Writing code isn’t the only way to contribute to NumPy. You can also:
104 - review pull requests
105 - help us stay on top of new and old issues
106 - develop tutorials, presentations, and other educational materials
107 - maintain and improve [our website](https://github.com/numpy/numpy.org)
108 - develop graphic design for our brand assets and promotional materials
109 - translate website content
110 - help with outreach and onboard new contributors
111 - write grant proposals and help with other fundraising efforts
112
113 For more information about the ways you can contribute to NumPy, visit [our website](https://numpy.org/contribute/).
114 If you’re unsure where to start or how your skills fit in, reach out! You can
115 ask on the mailing list or here, on GitHub, by opening a new issue or leaving a
116 comment on a relevant issue that is already open.
117
118 Our preferred channels of communication are all public, but if you’d like to
119 speak to us in private first, contact our community coordinators at
120 numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for
121 an invitation).
122
123 We also have a biweekly community call, details of which are announced on the
124 mailing list. You are very welcome to join.
125
126 If you are new to contributing to open source, [this
127 guide](https://opensource.guide/how-to-contribute/) helps explain why, what,
128 and how to successfully get involved.
129
130