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