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:15.2:Rings:1-MinimalX
- Links to openSUSE:Leap:15.2 / python-numpy
- Has a link diff
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout openSUSE:Leap:15.2:Staging:E/python-numpy && cd $_
- Create Badge
Refresh
Refresh
Source Files
Filename | Size | Changed |
---|---|---|
_constraints | 0000000182 182 Bytes | |
_multibuild | 0000000056 56 Bytes | |
numpy-2.0.0.tar.gz | 0018326228 17.5 MB | |
numpy-buildfix.patch | 0000001025 1 KB | |
python-numpy-rpmlintrc | 0000000532 532 Bytes | |
python-numpy.changes | 0000160527 157 KB | |
python-numpy.spec | 0000013903 13.6 KB |
Comments 0