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
CVE-2019-6446_numpy_load.patch 0000000947 947 Bytes about 1 year
_multibuild 0000000086 86 Bytes over 2 years
numpy-1.14.0.zip 0004900811 4.67 MB about 2 years
numpy-1.9.0-remove-__declspec.patch 0000000959 959 Bytes over 2 years
numpy-buildfix.patch 0000000649 649 Bytes over 2 years
python-numpy.changes 0000033090 32.3 KB about 1 year
python-numpy.spec 0000008460 8.26 KB about 1 year
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