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-1.6.1.tar.gz | 0002637779 2.52 MB | |
| numpy-buildfix.patch | 0000001078 1.05 KB | |
| python-numpy.changes | 0000005655 5.52 KB | |
| python-numpy.spec | 0000004274 4.17 KB |
Revision 17 (latest revision is 129)
Stephan Kulow (coolo)
accepted
request 113730
from
Sascha Peilicke (saschpe)
(revision 17)
- Fix SLE_11 build - Modify BuildRequires to match recent name changes of lapack and blas in project. (forwarded request 113708 from namtrac)
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