64 lines
2.2 KiB
Text
64 lines
2.2 KiB
Text
Metadata-Version: 2.1
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Name: numpy
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Version: 1.23.4
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Summary: NumPy is the fundamental package for array computing with Python.
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Home-page: https://www.numpy.org
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Author: Travis E. Oliphant et al.
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Maintainer: NumPy Developers
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Maintainer-email: numpy-discussion@python.org
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License: BSD
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Download-URL: https://pypi.python.org/pypi/numpy
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Project-URL: Bug Tracker, https://github.com/numpy/numpy/issues
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Project-URL: Documentation, https://numpy.org/doc/1.23
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Project-URL: Source Code, https://github.com/numpy/numpy
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Platform: Windows
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Platform: Linux
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Platform: Solaris
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Platform: Mac OS-X
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Platform: Unix
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Science/Research
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Programming Language :: C
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Programming Language :: Python :: Implementation :: CPython
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Classifier: Topic :: Software Development
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Classifier: Topic :: Scientific/Engineering
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Classifier: Typing :: Typed
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Operating System :: POSIX
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Classifier: Operating System :: Unix
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Classifier: Operating System :: MacOS
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Requires-Python: >=3.8
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License-File: LICENSE.txt
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License-File: LICENSES_bundled.txt
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It provides:
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- a powerful N-dimensional array object
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- sophisticated (broadcasting) functions
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- tools for integrating C/C++ and Fortran code
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- useful linear algebra, Fourier transform, and random number capabilities
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- and much more
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Besides its obvious scientific uses, NumPy can also be used as an efficient
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multi-dimensional container of generic data. Arbitrary data-types can be
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defined. This allows NumPy to seamlessly and speedily integrate with a wide
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variety of databases.
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All NumPy wheels distributed on PyPI are BSD licensed.
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NumPy requires ``pytest`` and ``hypothesis``. Tests can then be run after
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installation with::
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python -c 'import numpy; numpy.test()'
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