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
_constraints 0000000182 182 Bytes
_multibuild 0000000056 56 Bytes
fix-py34-tests.patch 0000000881 881 Bytes
numpy-1.19.1.zip 0007301568 6.96 MB
numpy-1.9.0-remove-__declspec.patch 0000001001 1001 Bytes
numpy-buildfix.patch 0000000737 737 Bytes
python-numpy-rpmlintrc 0000000250 250 Bytes
python-numpy.changes 0000083753 81.8 KB
python-numpy.spec 0000009998 9.76 KB
s390x.patch 0000000748 748 Bytes
Latest Revision
Dirk Mueller's avatar Dirk Mueller (dirkmueller) committed (revision 3)
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