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
_constraints 0000000182 182 Bytes 9 months
_multibuild 0000000056 56 Bytes 9 months
numpy-1.16.5.zip 0005138208 4.9 MB 3 months
numpy-1.9.0-remove-__declspec.patch 0000001001 1001 Bytes 8 months
numpy-buildfix.patch 0000000649 649 Bytes about 2 years
python2-numpy-rpmlintrc 0000000167 167 Bytes 4 months
python2-numpy.changes 0000041621 40.6 KB 2 months
python2-numpy.spec 0000010021 9.79 KB 2 months
riscv.patch 0000000768 768 Bytes about 1 year
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