26 lines
1.2 KiB
Plaintext
26 lines
1.2 KiB
Plaintext
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. Be aware that ipython gets installed just
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for python3.
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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: Version 1.2.3 is the last one with python2 support. If you'd like
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to use a newer scipy version you have to switch to using python3
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and install scipy with the scipy3 SlackBuild.
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