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authorSerban Udrea <S.Udrea@gsi.de>2022-11-06 22:06:22 +0000
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2022-11-12 22:33:20 +0700
commit5fa8bcaea97a45443ad5e08ab9f3e606209ca7a4 (patch)
tree23a75c01bd841a42e376cc509f8235d412f84b86 /development/numpy/README
parente07e9c56c1b3079be07479b599c5f7b387cc7883 (diff)
development/numpy: Removed (renamed python2-numpy).
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
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-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 you use
-software which is having problems with numpy's new relaxed strides
-checking, set NPY_RSC=0.
-
-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.
-
-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 the numpy3
- SlackBuild.
-
-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!