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.
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Source Files
Filename | Size | Changed |
---|---|---|
0001-BUG-Fix-test_impossible_feature_enable-failin |
0000002619 2.56 KB | |
0001-feature-module-Fix-handling-of-multiple-confl |
0000002244 2.19 KB | |
_constraints | 0000000182 182 Bytes | |
_multibuild | 0000000056 56 Bytes | |
numpy-2.0.0rc1.tar.gz | 0018314779 17.5 MB | |
numpy-buildfix.patch | 0000001025 1 KB | |
python-numpy-rpmlintrc | 0000000614 614 Bytes | |
python-numpy.changes | 0000154239 151 KB | |
python-numpy.spec | 0000014237 13.9 KB |
Revision 7 (latest revision is 9)
Benjamin Greiner (bnavigator)
committed
(revision 7)
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