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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. Be aware that ipython gets installed just
+for python3.
+
+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.
+
+If you need to build scipy for debugging, set DEBUG=y.
+
+NOTE: Version 1.2.3 is the last one with python2 support. If you'd like
+ to use a newer scipy version you have to switch to using python3
+ and install scipy with the scipy3 SlackBuild.