129 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			129 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
Metadata-Version: 2.1
 | 
						||
Name: numpy
 | 
						||
Version: 1.25.2
 | 
						||
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
 | 
						||
 | 
						||
<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://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.
 | 
						||
 | 
						||
 |