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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.
+
+If you need to build scipy for debugging, set DEBUG=YES.
+
+NOTE: this is for Python 3. If you need Python 2 support, install
+python2-scipy.
+
+ADDITIONAL NOTE: Unable to support newer versions than 1.12.0 due to
+requiring a newer Cython than included in Slackware (needs 3.0.8).