NumPy: array processing for numbers, strings, records and objects

Edit Package python-numpy

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
_multibuild 0000000086 86 Bytes
numpy-1.14.0.zip 0004900811 4.67 MB
numpy-1.9.0-remove-__declspec.patch 0000000959 959 Bytes
numpy-buildfix.patch 0000000649 649 Bytes
python-numpy.changes 0000033028 32.3 KB
python-numpy.spec 0000008360 8.16 KB
riscv.patch 0000000742 742 Bytes
Revision 66 (latest revision is 133)
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