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diff --git a/development/numpy-legacy/README b/development/numpy-legacy/README
index ace9230ef8..0d3993e366 100644
--- a/development/numpy-legacy/README
+++ b/development/numpy-legacy/README
@@ -9,13 +9,27 @@ 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.
+
+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 numpy-legacy3
+ SlackBuild.
IMPORTANT: This version, 1.8.2, is the latest to include the oldnumeric
and numarray compatibility modules. Starting with version