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27 lines
1.2 KiB
Text
27 lines
1.2 KiB
Text
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
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science, and engineering.
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The SciPy library is built to work with NumPy arrays, and provides
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many user-friendly and efficient numerical routines such as routines
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for numerical integration and optimization. Together, they run on
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all popular operating systems, are quick to install, and are free of
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charge. NumPy and SciPy are easy to use, but powerful enough to be
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depended upon by some of the world's leading scientists and engineers.
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matplotlib and ipython are nice to have in connection with scipy, but
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scipy does not depend on them.
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Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving
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unsymmetric sparse linear systems. If you want to use UMFPACK you
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must install it in advance of numpy and build numpy accordingly (see
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the README to numpy's SlackBuild). Moreover, after installing scipy,
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you have to install scikit-umfpack.
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If you need to build scipy for debugging, set DEBUG=y.
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NOTE: this is for Python 3. If you need Python 2 support, install
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python2-scipy.
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This script installs scipy ver. 1.9.1, the last possible version for
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Slackware 15.0. Newer versions require a newer Cython (as a build
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dependency).
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