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Name: numpy
Version: 2.0.0
Summary: NumPy: array processing for numbers, strings, records, and objects.
Url: http://numpy.scipy.org
DownloadUrl: http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103
Description:
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.
Author: Travis E. Oliphant, et.al.
AuthorEmail: oliphant@enthought.com
Maintainer: NumPy Developers
MaintainerEmail: numpy-discussion@scipy.org
License: BSD
Platforms: Windows,Linux,Solaris,Mac OS-X,Unix
Classifiers:
Development Status :: 5 - Production/Stable,
Intended Audience :: Science/Research,
Intended Audience :: Developers,
License :: OSI Approved,
Programming Language :: C,
Programming Language :: Python,
Topic :: Software Development,
Topic :: Scientific/Engineering,
Operating System :: Microsoft :: Windows,
Operating System :: POSIX,
Operating System :: Unix,
Operating System :: MacOS
ExtraSourceFiles:
setup.py,
numpy/core/include/numpy/*.h,
numpy/core/include/numpy/*.in,
numpy/core/include/numpy/fenv/*.h,
numpy/core/include/numpy/fenv/*.c,
numpy/core/*.ini.in,
numpy/core/src/npymath/*.h,
numpy/core/src/multiarray/*.c,
numpy/core/src/multiarray/*.c.src,
numpy/core/src/multiarray/*.h,
numpy/core/src/private/*.h,
numpy/core/src/umath/*.src,
numpy/core/src/umath/*.h,
numpy/core/src/umath/*.c,
numpy/fft/*.h,
numpy/random/mtrand/*.h
DataFiles: tests
TargetDir: $sitedir/numpy
SourceDir: numpy
Files:
core/tests/*.py,
distutils/tests/*.py,
f2py/tests/*.py,
fft/tests/*.py,
lib/tests/*.py,
linalg/tests/*.py,
ma/tests/*.py,
matrixlib/tests/*.py,
oldnumeric/tests/*.py,
polynomial/tests/*.py,
random/tests/*.py,
testing/tests/*.py
HookFile: bscript
Recurse: numpy
Library:
Packages:
numpy