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.
- Sources inherited from project openSUSE:Leap:42.3:Rings:1-MinimalX
- Links to openSUSE:Leap:42.3 / python-numpy
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout openSUSE:Leap:42.3:Staging:D/python-numpy && cd $_
- Create Badge
Refresh
Refresh
Source Files (show unmerged sources)
Filename | Size | Changed |
---|---|---|
numpy-1.8.0.tar.gz | 0003779617 3.6 MB | |
numpy-buildfix.patch | 0000000642 642 Bytes | |
numpy-double-double-le.patch | 0000003697 3.61 KB | |
python-numpy-doc.changes | 0000003129 3.06 KB | |
python-numpy-doc.spec | 0000003736 3.65 KB | |
python-numpy.changes | 0000009922 9.69 KB | |
python-numpy.spec | 0000004527 4.42 KB |
Latest Revision
Yuchen Lin (maxlin_factory)
committed
(revision 3)
Comments 0