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.
This requires numpy, blas, and lapack. Optional dependency: umfpack.
matplotlib and ipython are nice to have in connection with scipy, but
scipy does not depend on them.
NOTE: Presently, if you install umfpack and its dependencies before
scipy, make sure there is a link to /usr/include/amd/amd.h from within
/usr/include/umfpack, otherwise scipy will not build.
Maintained by: Serban Udrea
Approved by: rworkman, Niels Horn
Keywords: matplotlib,ipython,scientific tools for python,matlab,octave,scientific,dsp,python
(the SlackBuild does not include the source)