ppc64le/linux/: numpy-2.4.2+ppc64le1 metadata and description

Simple index

Fundamental package for array computing in Python

author Travis E. Oliphant et al.
classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Science/Research
  • Intended Audience :: Developers
  • Programming Language :: C
  • Programming Language :: Python
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.11
  • Programming Language :: Python :: 3.12
  • Programming Language :: Python :: 3.13
  • Programming Language :: Python :: 3.14
  • Programming Language :: Python :: 3 :: Only
  • Programming Language :: Python :: Implementation :: CPython
  • Topic :: Software Development
  • Topic :: Scientific/Engineering
  • Typing :: Typed
  • Operating System :: Microsoft :: Windows
  • Operating System :: POSIX
  • Operating System :: Unix
  • Operating System :: MacOS
  • Environment :: MetaData :: IBM Python Ecosystem
description_content_type text/markdown
license_expression BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0
license_file numpy/random/src/splitmix64/LICENSE.md
maintainer_email NumPy Developers <[email protected]>
project_urls
  • homepage, https://numpy.org
  • documentation, https://numpy.org/doc/
  • source, https://github.com/numpy/numpy
  • download, https://pypi.org/project/numpy/#files
  • tracker, https://github.com/numpy/numpy/issues
  • release notes, https://numpy.org/doc/stable/release
requires_python >=3.11
File Tox results History
numpy-2.4.2+ppc64le1-cp311-cp311-manylinux_2_34_ppc64le.whl
Size
16 MB
Type
Python Wheel
Python
3.11


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NumPy is the fundamental package for scientific computing with Python.

It provides:

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. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the NumPy 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 first.

Writing code isn’t the only way to contribute to NumPy. You can also:

For more information about the ways you can contribute to NumPy, visit our website. 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 [email protected] or on Slack (write [email protected] 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 helps explain why, what, and how to successfully get involved.

Export Classification Notice

The software hosted on this website consists of publicly available open‑source packages. To the extent U.S. export regulations apply, software that is publicly available as described in 15 C.F.R. §§ 734.7 (for non-encryption software) or 742.15(b) (for encryption software) is not subject to the Export Administration Regulations (EAR). Users are responsible for complying with all applicable export laws and regulations.