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
0001-BUG-Fix-infinite-loop-on-gcc11.patch 0000001393 1.36 KB
_constraints 0000000182 182 Bytes
_multibuild 0000000056 56 Bytes
numpy-1.21.0.zip 0010252686 9.78 MB
numpy-1.9.0-remove-__declspec.patch 0000001001 1001 Bytes
numpy-buildfix.patch 0000001025 1 KB
numpy-pr19326-fix-subarray-segfault.patch 0000005335 5.21 KB
python-numpy-rpmlintrc 0000000250 250 Bytes
python-numpy.changes 0000122476 120 KB
python-numpy.spec 0000011741 11.5 KB
Revision 102 (latest revision is 129)
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