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.
2 maintainers
Release files for numpy 1.21.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numpy-1.21.6.zip | 10.3 MB | Details |
Built distributions (wheels)
Total release size: 470.8 MB
Release files / numpy-1.21.6.zip
| Download URL | numpy-1.21.6.zip |
|---|---|
| Size | 10.3 MB |
| Tags | Source |
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Release files / numpy-1.21.6-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
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Release files / numpy-1.21.6-cp310-cp310-win_amd64.whl
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Release files / numpy-1.21.6-cp310-cp310-win32.whl
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Release files / numpy-1.21.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / numpy-1.21.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / numpy-1.21.6-cp310-cp310-macosx_11_0_arm64.whl
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Release files / numpy-1.21.6-cp310-cp310-macosx_10_9_x86_64.whl
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Release files / numpy-1.21.6-cp39-cp39-win_amd64.whl
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Release files / numpy-1.21.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / numpy-1.21.6-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
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Release files / numpy-1.21.6-cp39-cp39-macosx_11_0_arm64.whl
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Release files / numpy-1.21.6-cp39-cp39-macosx_10_9_x86_64.whl
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Release files / numpy-1.21.6-cp38-cp38-macosx_10_9_universal2.whl
| Download URL | numpy-1.21.6-cp38-cp38-macosx_10_9_universal2.whl |
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Release files / numpy-1.21.6-cp37-cp37m-win_amd64.whl
| Download URL | numpy-1.21.6-cp37-cp37m-win_amd64.whl |
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Release files / numpy-1.21.6-cp37-cp37m-win32.whl
| Download URL | numpy-1.21.6-cp37-cp37m-win32.whl |
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Release files / numpy-1.21.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
| Download URL | numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl |
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Release files / numpy-1.21.6-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
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Release files / numpy-1.21.6-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | numpy-1.21.6-cp37-cp37m-macosx_10_9_x86_64.whl |
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