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- Metadata-Version: 2.1
- Name: numpy
- Version: 1.15.4
- Summary: NumPy: array processing for numbers, strings, records, and objects.
- Home-page: http://www.numpy.org
- Author: Travis E. Oliphant et al.
- Maintainer: NumPy Developers
- Maintainer-email: numpy-discussion@python.org
- License: BSD
- Download-URL: https://pypi.python.org/pypi/numpy
- Platform: Windows
- Platform: Linux
- Platform: Solaris
- Platform: Mac OS-X
- Platform: Unix
- Classifier: Development Status :: 5 - Production/Stable
- Classifier: Intended Audience :: Science/Research
- Classifier: Intended Audience :: Developers
- Classifier: License :: OSI Approved
- Classifier: Programming Language :: C
- Classifier: Programming Language :: Python
- Classifier: Programming Language :: Python :: 2
- Classifier: Programming Language :: Python :: 2.7
- Classifier: Programming Language :: Python :: 3
- Classifier: Programming Language :: Python :: 3.4
- Classifier: Programming Language :: Python :: 3.5
- Classifier: Programming Language :: Python :: 3.6
- Classifier: Programming Language :: Python :: 3.7
- Classifier: Programming Language :: Python :: Implementation :: CPython
- Classifier: Topic :: Software Development
- Classifier: Topic :: Scientific/Engineering
- Classifier: Operating System :: Microsoft :: Windows
- Classifier: Operating System :: POSIX
- Classifier: Operating System :: Unix
- Classifier: Operating System :: MacOS
- Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
-
- NumPy is a general-purpose array-processing package designed to
- efficiently manipulate large multi-dimensional arrays of arbitrary
- records without sacrificing too much speed for small multi-dimensional
- arrays. NumPy is built on the Numeric code base and adds features
- introduced by numarray as well as an extended C-API and the ability to
- create arrays of arbitrary type which also makes NumPy suitable for
- interfacing with general-purpose data-base applications.
-
- There are also basic facilities for discrete fourier transform,
- basic linear algebra and random number generation.
-
- All numpy wheels distributed from pypi are BSD licensed.
-
- Windows wheels are linked against the ATLAS BLAS / LAPACK library, restricted
- to SSE2 instructions, so may not give optimal linear algebra performance for
- your machine. See http://docs.scipy.org/doc/numpy/user/install.html for
- alternatives.
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