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
numpy-1.12.1.zip 0004824784 4.6 MB
numpy-1.9.0-remove-__declspec.patch 0000000959 959 Bytes
numpy-buildfix.patch 0000000649 649 Bytes
python-numpy-doc.changes 0000017437 17 KB
python-numpy-doc.spec 0000003499 3.42 KB
python-numpy.changes 0000026526 25.9 KB
python-numpy.spec 0000004885 4.77 KB
xlocale.patch 0000000333 333 Bytes
Revision 55 (latest revision is 129)
Yuchen Lin's avatar Yuchen Lin (maxlin_factory) accepted request 514467 from Todd R's avatar Todd R (TheBlackCat) (revision 55)
- Add xlocale.patch:
  xlocale.h: don't use obsolete <xlocale.h>
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