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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
+ATLAS and the corresponding optimized LAPACK are not available on
+SlackBuilds.org because the latest stable and rather old release of
+ATLAS doesn't compile on the present Slackware version.
+
+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.
+
+This SlackBuild installs the last numpy version with support for
+python2.
+
+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!