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diff --git a/development/numpy/README b/development/numpy/README deleted file mode 100644 index 4c367a1508..0000000000 --- a/development/numpy/README +++ /dev/null @@ -1,41 +0,0 @@ -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! |