NumPy array processing for numbers, strings, records and objects
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.
|numpy-1.10.4-cblas.patch||0000002161 2.11 KB||over 3 years|
|numpy-1.11.1.tar.gz||0004171162 3.98 MB||about 3 years|
|numpy-1.9.0-remove-__declspec.patch||0000000959 959 Bytes||almost 4 years|
|numpy-buildfix.patch||0000000649 649 Bytes||almost 5 years|
|python-numpy.spec||0000022811 22.3 KB||over 1 year|