loongson/pypi/: numpy-1.20.0 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 :: 3.7
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • 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/1.20
  • Source Code, https://github.com/numpy/numpy
requires_python >=3.7

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

File Tox results History
numpy-1.20.0-cp37-cp37m-linux_loongarch64.whl
Size
11 MB
Type
Python Wheel
Python
3.7
numpy-1.20.0-cp38-cp38-linux_loongarch64.whl
Size
13 MB
Type
Python Wheel
Python
3.8
  • Replaced 1 time(s)
  • Uploaded to loongson/pypi by loongson 2022-08-12 01:36:18
numpy-1.20.0-cp39-cp39-linux_loongarch64.whl
Size
13 MB
Type
Python Wheel
Python
3.9
  • Replaced 1 time(s)
  • Uploaded to loongson/pypi by loongson 2022-08-26 08:05:32
numpy-1.20.0.tar.gz
Size
7 MB
Type
Source
  • Replaced 1 time(s)
  • Uploaded to loongson/pypi by loongson 2022-08-26 08:05:37

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.