academic/scipy3: Wrap README at 72 columns.

Signed-off-by: B. Watson <yalhcru@gmail.com>

1 files changed, 16 insertions, 17 deletions

diff --git a/academic/scipy3/README b/academic/scipy3/README
index 5a72b7347659..6bde98595e89 100644
--- a/academic/scipy3/README
+++ b/academic/scipy3/README
@@ -1,25 +1,24 @@
 SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
 science, and engineering.
 
-The SciPy library is built to work with NumPy arrays, and provides many
-user-friendly and efficient numerical routines such as routines for
-numerical integration and optimization. Together, they run on all popular
-operating systems, are quick to install, and are free of charge. NumPy
-and SciPy are easy to use, but powerful enough to be depended upon by
-some of the world's leading scientists and engineers.
+The SciPy library is built to work with NumPy arrays, and provides
+many user-friendly and efficient numerical routines such as routines
+for numerical integration and optimization. Together, they run on
+all popular operating systems, are quick to install, and are free of
+charge. NumPy and SciPy are easy to use, but powerful enough to be
+depended upon by some of the world's leading scientists and engineers.
 
-matplotlib and ipython are nice to have in connection with scipy, but scipy
-does not depend on them.
+matplotlib and ipython are nice to have in connection with scipy, but
+scipy does not depend on them.
 
-Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving unsymmetric
-sparse linear systems. If you want to use UMFPACK you must install it in advance
-of numpy and build numpy accordingly (see the README to numpy's SlackBuild).
-Moreover, after installing scipy, you have to install scikit-umfpack, which
-presently is not available on SlackBuilds.org.
+Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving
+unsymmetric sparse linear systems. If you want to use UMFPACK you
+must install it in advance of numpy and build numpy accordingly (see
+the README to numpy's SlackBuild).  Moreover, after installing scipy,
+you have to install scikit-umfpack, which presently is not available
+on SlackBuilds.org.
 
 If you need to build scipy for debugging, set DEBUG=y.
 
-NOTE: If you use this SlackBuild scipy will run with the python 3 version
-      installed on your system. If you'd like to use python 2.7.xx as
-      provided by Slackware Linux then you have to install it with the scipy
-      SlackBuild.
+NOTE: this is for Python 3. If you need Python 2 support, install
+scipy.