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 |
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numpy-1.9.0-remove-__declspec.patch | 0000001011 1011 Bytes | |
numpy-1.9.3.tar.gz | 0003984430 3.8 MB | |
numpy-buildfix.patch | 0000000649 649 Bytes | |
python-numpy-doc.changes | 0000008244 8.05 KB | |
python-numpy-doc.spec | 0000005713 5.58 KB | |
python-numpy.changes | 0000015092 14.7 KB | |
python-numpy.spec | 0000004574 4.47 KB |
Revision 45 (latest revision is 129)
Dominique Leuenberger (dimstar_suse)
accepted
request 333114
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Todd R (TheBlackCat)
(revision 45)
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