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-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.
-
-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 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.