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 (show merged sources derived from linked package)
Filename Size Changed
0001-BUG-Fix-test_impossible_feature_enable-failing-witho.patch 0000002598 2.54 KB
0001-feature-module-Fix-handling-of-multiple-conflicts-pe.patch 0000002243 2.19 KB
_constraints 0000000182 182 Bytes
_multibuild 0000000056 56 Bytes
fix-meson-multiple-python-versions.patch 0000002152 2.1 KB
numpy-1.26.4.tar.gz 0015786129 15.1 MB
numpy-1.9.0-remove-__declspec.patch 0000001152 1.13 KB
numpy-buildfix.patch 0000001025 1 KB
python-numpy-rpmlintrc 0000000531 531 Bytes
python-numpy.changes 0000154297 151 KB
python-numpy.spec 0000013946 13.6 KB
Latest Revision
buildservice-autocommit accepted request 1169880 from Steve Kowalik's avatar Steve Kowalik (StevenK) (revision 158)
baserev update by copy to link target
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