2016-08-26 19:50:43 +02:00
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SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
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science, and engineering.
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2022-03-12 20:37:53 +01:00
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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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2016-08-26 19:50:43 +02:00
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2022-03-12 20:37:53 +01:00
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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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2016-08-26 19:50:43 +02:00
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2022-03-12 20:37:53 +01:00
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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, which presently is not available
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on SlackBuilds.org.
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2016-08-26 19:50:43 +02:00
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If you need to build scipy for debugging, set DEBUG=y.
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2022-03-12 20:37:53 +01:00
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NOTE: this is for Python 3. If you need Python 2 support, install
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scipy.
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