python-numpy
Port variant v11
Summary Array computing for Python (3.11)
Package version 1.26.3
Homepage https://numpy.org
Keywords python
Maintainer Python Automaton
License BSD3CLAUSE
Other variants v12
Ravenports Buildsheet | History
Ravensource Port Directory | History
Last modified 13 JAN 2024, 06:27:29 UTC
Port created 21 APR 2020, 22:22:44 UTC
Subpackage Descriptions
single

[image]


[Powered by NumFOCUS] [PyPI Downloads] [Conda Downloads] [Stack Overflow] [Nature Paper] [OpenSSF Scorecard] 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]. 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: - 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] - 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]. 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] helps explain why, what, and how to successfully get involved.
Configuration Switches (platform-specific settings discarded)
PY311 ON Build using Python 3.11 PY312 OFF Build using Python 3.12
Package Dependencies by Type
Build (only) openblas:dev:standard
python-Cython:single:v11
python-meson-python:single:v11
python-wheel:single:v11
python-spin:single:v11
python-pip:single:v11
pkgconf:primary:standard
meson:single:standard
ninja:single:standard
Build and Runtime openblas:primary:standard
python311:single:standard
Runtime (only) ravensys-gcc:cxx_run:standard (single subpackage)
Download groups
main mirror://PYPI/n/numpy
Distribution File Information
697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4 15679696 numpy-1.26.3.tar.gz
Ports that require python-numpy:v11
python-pandas:v11 Data structures for time series, statistics (3.11)
python-pythran:v11 Ahead of Time compiler for numeric kernels (3.11)
python-scipy:v11 Scientific library for Python (3.11)