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 (show merged sources derived from linked package)
Filename Size Changed Actions
numpy-1.9.0-remove-__declspec.patch 0000001011 1011 Bytes over 5 years
numpy-1.9.0.tar.gz 0003962108 3.78 MB over 5 years
numpy-buildfix.patch 0000000649 649 Bytes over 5 years
python3-numpy-doc.changes 0000003750 3.66 KB over 5 years
python3-numpy-doc.spec 0000003092 3.02 KB over 5 years
python3-numpy.changes 0000006938 6.78 KB over 5 years
python3-numpy.spec 0000004185 4.09 KB over 5 years
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