loongson/pypi/: numpy-1.23.1 metadata and description

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NumPy is the fundamental package for array computing with Python.

author Travis E. Oliphant et al.
classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Science/Research
  • Intended Audience :: Developers
  • License :: OSI Approved :: BSD License
  • Programming Language :: C
  • Programming Language :: Python
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • 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
download_url https://pypi.python.org/pypi/numpy
license BSD
maintainer NumPy Developers
maintainer_email numpy-discussion@python.org
platform
  • Windows
  • Linux
  • Solaris
  • Mac OS-X
  • Unix
project_urls
  • Bug Tracker, https://github.com/numpy/numpy/issues
  • Documentation, https://numpy.org/doc/1.23
  • Source Code, https://github.com/numpy/numpy
requires_python >=3.8

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File Tox results History
numpy-1.23.1-cp38-cp38-linux_loongarch64.whl
Size
15 MB
Type
Python Wheel
Python
3.8
  • Replaced 2 time(s)
  • Uploaded to loongson/pypi by loongson 2022-08-12 02:04:23
numpy-1.23.1.tar.gz
Size
10 MB
Type
Source
  • Replaced 1 time(s)
  • Uploaded to loongson/pypi by loongson 2022-08-11 04:42:49

It provides:

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

All NumPy wheels distributed on PyPI are BSD licensed.

NumPy requires pytest and hypothesis. Tests can then be run after installation with:

python -c 'import numpy; numpy.test()'