root/release/: numpy-1.15.4 metadata and description

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NumPy: array processing for numbers, strings, records, and objects.

author Travis E. Oliphant et al.
classifiers
  • Development Status :: 5 - Production/Stable
  • Intended Audience :: Science/Research
  • Intended Audience :: Developers
  • License :: OSI Approved
  • Programming Language :: C
  • Programming Language :: Python
  • Programming Language :: Python :: 2
  • Programming Language :: Python :: 2.7
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.4
  • Programming Language :: Python :: 3.5
  • Programming Language :: Python :: 3.6
  • Programming Language :: Python :: 3.7
  • Programming Language :: Python :: Implementation :: CPython
  • Topic :: Software Development
  • Topic :: Scientific/Engineering
  • 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
requires_python >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*

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

File Tox results History
numpy-1.15.4-cp37-cp37m-linux_loongarch64.whl
Size
7 MB
Type
Python Wheel
Python
3.7
numpy-1.15.4.tar.gz
Size
3 MB
Type
Source
  • Replaced 11 time(s)
  • Uploaded to root/release by root 2022-05-27 04:22:39

NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications.

There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.

All numpy wheels distributed from pypi are BSD licensed.

Windows wheels are linked against the ATLAS BLAS / LAPACK library, restricted to SSE2 instructions, so may not give optimal linear algebra performance for your machine. See http://docs.scipy.org/doc/numpy/user/install.html for alternatives.