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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

  • and much more

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()'

Metadata

Release files for numpy 1.23.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for numpy 1.23.5
File Size Uploaded
numpy-1.23.5.tar.gz 10.7 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.23.5
File
numpy-1.23.5-pp38-pypy38_pp73-win_amd64.whl PyPy 3.8 PyPy 3.8 7.3 Windows x86-64 Details
numpy-1.23.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl PyPy 3.8 PyPy 3.8 7.3 Linux glibc 2.17+ x86-64 Details
numpy-1.23.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl PyPy 3.8 PyPy 3.8 7.3 macOS 10.9+ x86-64 Details
numpy-1.23.5-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
numpy-1.23.5-cp311-cp311-win32.whl CPython 3.11 CPython 3.11 Windows x86-32 Details
numpy-1.23.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
numpy-1.23.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
numpy-1.23.5-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
numpy-1.23.5-cp311-cp311-macosx_10_9_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.9+ x86-64 Details
numpy-1.23.5-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
numpy-1.23.5-cp310-cp310-win32.whl CPython 3.10 CPython 3.10 Windows x86-32 Details
numpy-1.23.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
numpy-1.23.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
numpy-1.23.5-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
numpy-1.23.5-cp310-cp310-macosx_10_9_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details
numpy-1.23.5-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details
numpy-1.23.5-cp39-cp39-win32.whl CPython 3.9 CPython 3.9 Windows x86-32 Details
numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
numpy-1.23.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
numpy-1.23.5-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
numpy-1.23.5-cp39-cp39-macosx_10_9_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
numpy-1.23.5-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details
numpy-1.23.5-cp38-cp38-win32.whl CPython 3.8 CPython 3.8 Windows x86-32 Details
numpy-1.23.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64 Details
numpy-1.23.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details
numpy-1.23.5-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details
numpy-1.23.5-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details

Total release size: 416.7 MB

Release files / numpy-1.23.5.tar.gz

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