virtuelle Umgebung teil20b
This commit is contained in:
@@ -0,0 +1,128 @@
|
||||
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.
|
||||
|
||||
|
Reference in New Issue
Block a user