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authorSerban Udrea <S.Udrea@gsi.de>2016-08-27 00:16:02 +0700
committerDavid Spencer <idlemoor@slackbuilds.org>2016-08-28 00:22:40 +0100
commit7ffd28bfad219797c602f01cad9c01f53f97c3db (patch)
treecdfe4449a16c40eb461e9c464712b533b37f6d59 /academic/scipy/README
parentc60c88076cbb136082816ca41bbc95335d942a9e (diff)
downloadslackbuilds-7ffd28bfad219797c602f01cad9c01f53f97c3db.tar.gz
academic/scipy: Updated for version 0.18.0.
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'academic/scipy/README')
-rw-r--r--academic/scipy/README14
1 files changed, 12 insertions, 2 deletions
diff --git a/academic/scipy/README b/academic/scipy/README
index 1c3400ed17..e03678305e 100644
--- a/academic/scipy/README
+++ b/academic/scipy/README
@@ -8,7 +8,17 @@ 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.
-umfpack is an optional dependency. 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.
If you need to build scipy for debugging, set DEBUG=y.
+
+NOTE: If you use this SlackBuild scipy 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 scipy3.