mirror of
https://github.com/Ponce/slackbuilds
synced 2024-12-01 01:00:03 +01:00
8b819e51b3
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
29 lines
1.4 KiB
Text
29 lines
1.4 KiB
Text
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.
|
|
|
|
If you need to build numpy for debugging, set DEBUG=y. If software
|
|
depending on numpy is having problems with the new relaxed strides
|
|
checking, set NPY_RSC=0.
|
|
|
|
It is highly recommended to install optimized BLAS and LAPACK libs
|
|
before installing numpy. You may choose between ATLAS+LAPACK and
|
|
OpenBLAS.
|
|
|
|
IMPORTANT: The version installed by this SlackBuild does NOT include the
|
|
oldnumeric and numarray compatibility modules since starting with
|
|
version 1.9.0 these modules got removed by the numpy developers.
|
|
If you need these compatibility modules please consider the
|
|
numpy-legacy SlackBuild.
|
|
THUS: This SlackBuild conflicts with the numpy-legacy SlackBuild
|
|
which installs versions < 1.9.0!
|
|
|
|
This numpy3 SlackBuild creates bindings for python3 and can be installed
|
|
without conflict alongside the standard numpy SlackBuild.
|