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24 lines
1.2 KiB
Text
24 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 many
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user-friendly and efficient numerical routines such as routines for
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numerical integration and optimization. Together, they run on all popular
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operating systems, are quick to install, and are free of charge. NumPy
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and SciPy are easy to use, but powerful enough to be depended upon by
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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 scipy
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does not depend on them.
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Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving unsymmetric
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sparse linear systems. If you want to use UMFPACK you must install it in advance
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of numpy and build numpy accordingly (see the README to numpy's SlackBuild).
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Moreover, after installing scipy, you have to install scikit-umfpack, which
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presently is not available on SlackBuilds.org.
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If you need to build scipy for debugging, set DEBUG=y.
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NOTE: If you use this SlackBuild scipy will run with the python 3 version
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installed on your system. If you'd like to use python 2.7.xx as
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provided by Slackware Linux then you have to install scipy.
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