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| author |   Serban Udrea <S.Udrea@gsi.de> | 2011-11-04 18:09:15 -0200 |
|---|---|---|
| committer |   Niels Horn <niels.horn@slackbuilds.org> | 2011-11-04 18:09:15 -0200 |
| commit | 83ad715c573a9645d06923474fb290b7d1021806 (patch) | |
| tree | b8761049d570aa55e9e587d7e28102857a4b6c75 /academic/scipy/README | |
| parent | 48d5e0ae338ba1002879a0bf46318553a9e52852 (diff) | |
| download | slackbuilds-83ad715c573a9645d06923474fb290b7d1021806.tar.gz slackbuilds-83ad715c573a9645d06923474fb290b7d1021806.tar.xz | |
academic/scipy: Updated for version 0.9.0.
Signed-off-by: Niels Horn <niels.horn@slackbuilds.org>
Diffstat (limited to 'academic/scipy/README')
| -rw-r--r-- | academic/scipy/README | 23 |
1 files changed, 14 insertions, 9 deletions
diff --git a/academic/scipy/README b/academic/scipy/README index 10bf65548c..9bbcff5eb1 100644 --- a/academic/scipy/README +++ b/academic/scipy/README @@ -1,12 +1,17 @@ -SciPy (pronounced "Sigh Pie") is open-source software for mathematics, +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. +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. -This requires numpy, blas, and lapack. matplotlib and ipython are nice to -have in connection with scipy, but scipy does not depend on them. +This requires numpy, blas, and lapack. Optional dependency: umfpack. +matplotlib and ipython are nice to have in connection with scipy, but +scipy does not depend on them. + +NOTE: Presently, if you install umfpack and its dependencies before +scipy, make sure there is a link to /usr/include/amd/amd.h from within +/usr/include/umfpack, otherwise scipy will not build. |