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Diffstat (limited to 'development/numpy/README')
| -rw-r--r-- | development/numpy/README | 27 |
1 files changed, 20 insertions, 7 deletions
diff --git a/development/numpy/README b/development/numpy/README index 7e44029a85..10cd6ba81d 100644 --- a/development/numpy/README +++ b/development/numpy/README @@ -9,15 +9,28 @@ 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. +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 optimized BLAS and LAPACK libs -before installing numpy. You may choose between ATLAS+LAPACK and -OpenBLAS. +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. -IMPORTANT: The version installed by this SlackBuild doesn NOT include the +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. + +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 |