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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 2.11 KB Download File
numpy-1.11.1.tar.gz 3.98 MB Download File
numpy-1.9.0-remove-__declspec.patch 959 Bytes Download File
numpy-buildfix.patch 649 Bytes Download File
python-numpy.spec 22.3 KB Download File

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