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.

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Source Files
Filename Size Changed Actions
_multibuild 0000000086 86 Bytes about 2 years
numpy-1.14.5.zip 0004904624 4.68 MB over 1 year
numpy-1.9.0-remove-__declspec.patch 0000000959 959 Bytes almost 2 years
numpy-buildfix.patch 0000000649 649 Bytes almost 2 years
python-numpy.changes 0000034170 33.4 KB over 1 year
python-numpy.spec 0000008597 8.4 KB over 1 year
riscv.patch 0000000742 742 Bytes over 1 year
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