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diff --git a/development/numpy/README b/development/numpy/README deleted file mode 100644 index 194190812c..0000000000 --- a/development/numpy/README +++ /dev/null @@ -1,39 +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! |