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-1.10.4-cblas.patch | 0000002161 2.11 KB | |
numpy-1.11.1.tar.gz | 0004171162 3.98 MB | |
numpy-1.9.0-remove-__declspec.patch | 0000000959 959 Bytes | |
numpy-buildfix.patch | 0000000649 649 Bytes | |
python-numpy-doc.changes | 0000012964 12.7 KB | |
python-numpy-doc.spec | 0000006155 6.01 KB | |
python-numpy.changes | 0000021820 21.3 KB | |
python-numpy.spec | 0000005026 4.91 KB |
Revision 51 (latest revision is 129)
Dominique Leuenberger (dimstar_suse)
accepted
request 441447
from
Todd R (TheBlackCat)
(revision 51)
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