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-1.6.2.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 | 0000001885 1.84 KB | |
python3-numpy.spec | 0000004780 4.67 KB |
Revision 25 (latest revision is 131)
Stephan Kulow (coolo)
accepted
request 142250
from
Ismail Dönmez (namtrac)
(revision 25)
- Add numpy-fd15162.patch which should fix python3-scipy See https://github.com/numpy/numpy/commit/fd15162fbff5dd68c548284947d39bb2a2481183
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