You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
57 lines
2.2 KiB
57 lines
2.2 KiB
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.
|
|
|
|
|
|
|