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authorB. Watson <yalhcru@gmail.com>2020-10-12 15:10:48 -0400
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2020-10-17 09:37:36 +0700
commit6b04237b19745ace39bf66fc2607c1fee2ad935f (patch)
treeab55e7c6f0480bfab445eb0cb73e6f4087ddb0ae /academic/scipy
parent0f2050c6252e2cf3fc8271cc7d0dec715ccefd61 (diff)
downloadslackbuilds-6b04237b19745ace39bf66fc2607c1fee2ad935f.tar.gz
academic/scipy: Fix README.
Signed-off-by: B. Watson <yalhcru@gmail.com> Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'academic/scipy')
-rw-r--r--academic/scipy/README32
1 files changed, 17 insertions, 15 deletions
diff --git a/academic/scipy/README b/academic/scipy/README
index 730af33108..81198ddbe7 100644
--- a/academic/scipy/README
+++ b/academic/scipy/README
@@ -1,24 +1,26 @@
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 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 scipy with the scipy3 SlackBuild.
+ provided by Slackware Linux, which is presently 2.7.xx. If you'd
+ like to use python 3.x then you have to install scipy with the
+ scipy3 SlackBuild.