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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10
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Source Files
Filename | Size | Changed |
---|---|---|
numpy-1.6.2.tar.gz | 0002585329 2.47 MB | |
numpy-buildfix.patch | 0000001078 1.05 KB | |
numpy-fd15162.patch | 0000000967 967 Bytes | |
numpy-python33.patch | 0000002543 2.48 KB | |
python-numpy-doc.changes | 0000000421 421 Bytes | |
python-numpy-doc.spec | 0000006255 6.11 KB | |
python-numpy.changes | 0000007257 7.09 KB | |
python-numpy.spec | 0000004441 4.34 KB | |
python3-numpy.changes | 0000002251 2.2 KB | |
python3-numpy.spec | 0000005082 4.96 KB |
Revision 27 (latest revision is 131)
Stephan Kulow (coolo)
accepted
request 145171
from
Sascha Peilicke (saschpe)
(revision 27)
- fixed using numpy with python 3.3. - matplot build fail (bnc#793557) fixed by these changes. - with python-bleeding edge repo still broken, fixed only for factory (forwarded request 145145 from HighwayStar)
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