ppc64le/linux/: numpy-1.23.5+ppc64le1 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 :: 3.11
  • 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
download_url https://pypi.python.org/pypi/numpy
license BSD
maintainer NumPy Developers
maintainer_email [email protected]
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
File Tox results History
numpy-1.23.5+ppc64le1-cp310-cp310-manylinux_2_34_ppc64le.whl
Size
21 MB
Type
Python Wheel
Python
3.10
numpy-1.23.5+ppc64le1-cp311-cp311-manylinux_2_34_ppc64le.whl
Size
19 MB
Type
Python Wheel
Python
3.11
numpy-1.23.5+ppc64le1-cp39-cp39-manylinux_2_34_ppc64le.whl
Size
19 MB
Type
Python Wheel
Python
3.9

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()'

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