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.
- Developed at devel:languages:python:numeric
- Sources inherited from project openSUSE:Factory
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Source Files
Filename | Size | Changed |
---|---|---|
numpy-1.7.1.tar.gz | 0002838240 2.71 MB | |
numpy-buildfix.patch | 0000001078 1.05 KB | |
python-numpy-doc.changes | 0000001693 1.65 KB | |
python-numpy-doc.spec | 0000006223 6.08 KB | |
python-numpy.changes | 0000008881 8.67 KB | |
python-numpy.spec | 0000004502 4.4 KB |
Revision 33 (latest revision is 129)
Stephan Kulow (coolo)
accepted
request 179909
from
Sascha Peilicke (saschpe)
(revision 33)
housekeeping sr, necessary due to split between d:l:p and d:l:p3 and (manual) _link removal in Factory.
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