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()'
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2 maintainers
Release files for numpy 1.23.1
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-1.23.1.tar.gz | 10.7 MB | Details |
Built distributions (wheels)
Total release size: 327.1 MB
Release files / numpy-1.23.1.tar.gz
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Release files / numpy-1.23.1-pp38-pypy38_pp73-win_amd64.whl
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Release files / numpy-1.23.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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