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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: this is for Python 3. If you need Python 2 support, install
-scipy.
-
-scipy3 1.9.1 is the last possible version for Slackware 15.0. Newer
-versions require a newer Cython (as a build dependency).