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 unmerged sources)
Filename Size Changed
_constraints 0000000182 182 Bytes
_multibuild 0000000056 56 Bytes
ignore-pkg_resources-deprecation.patch 0000000555 555 Bytes
numpy-1.26.0.tar.gz 0015633455 14.9 MB
numpy-1.9.0-remove-__declspec.patch 0000001152 1.13 KB
numpy-buildfix.patch 0000001025 1 KB
python-numpy-rpmlintrc 0000000478 478 Bytes
python-numpy.changes 0000146250 143 KB
python-numpy.spec 0000013448 13.1 KB
Latest Revision
Adrian Schröter's avatar Adrian Schröter (adrianSuSE) committed (revision 36)
fix
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