2015-03-20 19:16:20 +01:00
|
|
|
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.
|
|
|
|
|
|
2016-08-25 03:26:04 +02:00
|
|
|
If you need to build numpy for debugging, set DEBUG=y. If you use software
|
|
|
|
|
which is having problems with numpy's new relaxed strides checking, set
|
|
|
|
|
NPY_RSC=0.
|
2015-03-20 19:16:20 +01:00
|
|
|
|
2016-08-25 03:26:04 +02:00
|
|
|
It is highly recommended to install libraries implementing BLAS and LAPACK
|
|
|
|
|
before installing numpy. You may choose between:
|
|
|
|
|
a) BLAS and LAPACK (reference but unoptimized and thus slow)
|
|
|
|
|
b) OpenBLAS (optimized, provides LAPACK too)
|
|
|
|
|
c) ATLAS and LAPACK (optimized), good to read README.ATLAS
|
|
|
|
|
All these are available on SlackBuilds.org.
|
|
|
|
|
|
|
|
|
|
If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric
|
|
|
|
|
sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no"
|
|
|
|
|
and then install scikit-umfpack on top of scipy. In this context, UMFPACK is an
|
|
|
|
|
optional dependency for numpy. Nevertheless, note that presently scikit-umfpack
|
|
|
|
|
is not available on SlackBuilds.org while its dependencies are.
|
|
|
|
|
|
|
|
|
|
NOTE: If you use this SlackBuild, numpy will run with the python version
|
|
|
|
|
provided by Slackware Linux, which is presently 2.7.xx. If you'd like to
|
|
|
|
|
use python 3.x then you have to install numpy with the numpy3 SlackBuild.
|
2015-03-20 19:16:20 +01:00
|
|
|
|
|
|
|
|
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.
|
