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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
_multibuild 0000000086 86 Bytes almost 2 years
numpy-1.15.3.zip 0004487045 4.28 MB 9 months
numpy-1.9.0-remove-__declspec.patch 0000000960 960 Bytes 10 months
numpy-buildfix.patch 0000000649 649 Bytes almost 2 years
python-numpy.changes 0000035200 34.4 KB 9 months
python-numpy.spec 0000008605 8.4 KB 9 months
riscv.patch 0000000768 768 Bytes 10 months
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