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.
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2 maintainers
Release files for numpy 1.19.2
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-1.19.2.zip | 7.3 MB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| numpy-1.19.2-pp36-pypy36_pp73-manylinux2010_x86_64.whl | PyPy 3.6 | PyPy 3.6 7.3 | Linux glibc 2.12+ x86-64 | Details |
| numpy-1.19.2-cp38-cp38-win_amd64.whl | CPython 3.8 | CPython 3.8 | Windows x86-64 | Details |
| numpy-1.19.2-cp38-cp38-win32.whl | CPython 3.8 | CPython 3.8 | Windows x86-32 | Details |
| numpy-1.19.2-cp38-cp38-manylinux2014_aarch64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.17+ ARM64 | Details |
| numpy-1.19.2-cp38-cp38-manylinux2010_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.12+ x86-64 | Details |
| numpy-1.19.2-cp38-cp38-manylinux2010_i686.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.12+ x86-32 | Details |
| numpy-1.19.2-cp38-cp38-manylinux1_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.5+ x86-64 | Details |
| numpy-1.19.2-cp38-cp38-manylinux1_i686.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.5+ x86-32 | Details |
| numpy-1.19.2-cp38-cp38-macosx_10_9_x86_64.whl | CPython 3.8 | CPython 3.8 | macOS 10.9+ x86-64 | Details |
| numpy-1.19.2-cp37-cp37m-win_amd64.whl | CPython 3.7 | CPython 3.7 pymalloc | Windows x86-64 | Details |
| numpy-1.19.2-cp37-cp37m-win32.whl | CPython 3.7 | CPython 3.7 pymalloc | Windows x86-32 | Details |
| numpy-1.19.2-cp37-cp37m-manylinux2014_aarch64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.17+ ARM64 | Details |
| numpy-1.19.2-cp37-cp37m-manylinux2010_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.12+ x86-64 | Details |
| numpy-1.19.2-cp37-cp37m-manylinux2010_i686.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.12+ x86-32 | Details |
| numpy-1.19.2-cp37-cp37m-manylinux1_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| numpy-1.19.2-cp37-cp37m-manylinux1_i686.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-32 | Details |
| numpy-1.19.2-cp37-cp37m-macosx_10_9_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | macOS 10.9+ x86-64 | Details |
| numpy-1.19.2-cp36-cp36m-win_amd64.whl | CPython 3.6 | CPython 3.6 pymalloc | Windows x86-64 | Details |
| numpy-1.19.2-cp36-cp36m-win32.whl | CPython 3.6 | CPython 3.6 pymalloc | Windows x86-32 | Details |
| numpy-1.19.2-cp36-cp36m-manylinux2014_aarch64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.17+ ARM64 | Details |
| numpy-1.19.2-cp36-cp36m-manylinux2010_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.12+ x86-64 | Details |
| numpy-1.19.2-cp36-cp36m-manylinux2010_i686.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.12+ x86-32 | Details |
| numpy-1.19.2-cp36-cp36m-manylinux1_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| numpy-1.19.2-cp36-cp36m-manylinux1_i686.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-32 | Details |
| numpy-1.19.2-cp36-cp36m-macosx_10_9_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | macOS 10.9+ x86-64 | Details |
Total release size: 330.3 MB
Release files / numpy-1.19.2.zip
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Release files / numpy-1.19.2-pp36-pypy36_pp73-manylinux2010_x86_64.whl
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Release files / numpy-1.19.2-cp38-cp38-win_amd64.whl
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Release files / numpy-1.19.2-cp38-cp38-manylinux2014_aarch64.whl
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Release files / numpy-1.19.2-cp38-cp38-manylinux2010_x86_64.whl
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Release files / numpy-1.19.2-cp38-cp38-manylinux2010_i686.whl
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Release files / numpy-1.19.2-cp38-cp38-manylinux1_x86_64.whl
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Release files / numpy-1.19.2-cp38-cp38-manylinux1_i686.whl
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Release files / numpy-1.19.2-cp38-cp38-macosx_10_9_x86_64.whl
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Release files / numpy-1.19.2-cp37-cp37m-win_amd64.whl
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Release files / numpy-1.19.2-cp37-cp37m-win32.whl
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Release files / numpy-1.19.2-cp37-cp37m-manylinux2014_aarch64.whl
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Release files / numpy-1.19.2-cp37-cp37m-manylinux2010_x86_64.whl
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Release files / numpy-1.19.2-cp37-cp37m-manylinux2010_i686.whl
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Release files / numpy-1.19.2-cp37-cp37m-manylinux1_i686.whl
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Release files / numpy-1.19.2-cp37-cp37m-macosx_10_9_x86_64.whl
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Release files / numpy-1.19.2-cp36-cp36m-win_amd64.whl
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Release files / numpy-1.19.2-cp36-cp36m-win32.whl
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Release files / numpy-1.19.2-cp36-cp36m-manylinux2010_x86_64.whl
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Release files / numpy-1.19.2-cp36-cp36m-manylinux2010_i686.whl
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Release files / numpy-1.19.2-cp36-cp36m-manylinux1_i686.whl
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