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 (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 (adrianSuSE)
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