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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.

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Release files for numpy 1.18.0

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 1.18.0
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numpy-1.18.0.zip 5.4 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.18.0
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numpy-1.18.0-cp38-cp38-win_amd64.whl CPython 3.8 CPython 3.8 Windows x86-64 Details
numpy-1.18.0-cp38-cp38-win32.whl CPython 3.8 CPython 3.8 Windows x86-32 Details
numpy-1.18.0-cp38-cp38-manylinux1_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-64 Details
numpy-1.18.0-cp38-cp38-manylinux1_i686.whl CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-32 Details
numpy-1.18.0-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
numpy-1.18.0-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
numpy-1.18.0-cp37-cp37m-win32.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-32 Details
numpy-1.18.0-cp37-cp37m-manylinux1_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 Details
numpy-1.18.0-cp37-cp37m-manylinux1_i686.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-32 Details
numpy-1.18.0-cp37-cp37m-macosx_10_9_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 Details
numpy-1.18.0-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details
numpy-1.18.0-cp36-cp36m-win32.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-32 Details
numpy-1.18.0-cp36-cp36m-manylinux1_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details
numpy-1.18.0-cp36-cp36m-manylinux1_i686.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-32 Details
numpy-1.18.0-cp36-cp36m-macosx_10_9_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 Details
numpy-1.18.0-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details
numpy-1.18.0-cp35-cp35m-win32.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-32 Details
numpy-1.18.0-cp35-cp35m-manylinux1_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 Details
numpy-1.18.0-cp35-cp35m-manylinux1_i686.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32 Details
numpy-1.18.0-cp35-cp35m-macosx_10_6_intel.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.6+ Intel (x86-64, i386) Details

Total release size: 310.5 MB

Release files / numpy-1.18.0.zip

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