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14.2 > Academic > scipy (1.1.0)

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.

matplotlib and ipython are nice to have in connection with scipy, but
scipy does not depend on them.

Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving
unsymmetric sparse linear systems. If you want to use UMFPACK you
must install it in advance of numpy and build numpy accordingly (see
the README to numpy's SlackBuild). Moreover, after installing scipy,
you have to install scikit-umfpack, which presently is not available on
SlackBuilds.org.

If you need to build scipy for debugging, set DEBUG=y.

NOTE: If you use this SlackBuild scipy will run with the python version
provided by Slackware Linux, which is presently 2.7.xx. If you'd
like to use python 3.x then you have to install scipy with the
scipy3 SlackBuild.

This requires: lapack, numpy

Maintained by: Serban Udrea
Keywords: matplotlib,ipython,scientific tools for python,matlab,octave,scientific,dsp,python
ChangeLog: scipy

Homepage:
https://www.scipy.org/

Source Downloads:
scipy-1.1.0.tar.gz (aa6bcc85276b6f25e17bcfc4dede8718)

Download SlackBuild:
scipy.tar.gz
scipy.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:
README
scipy.SlackBuild
scipy.info
slack-desc

Validated for Slackware 14.2

See our HOWTO for instructions on how to use the contents of this repository.

Access to the repository is available via:
ftp git cgit http rsync

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