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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 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.