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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.

Source Files
Filename Size Changed Actions
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
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