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| author | B. Watson <yalhcru@gmail.com> | 2020-10-12 15:10:48 -0400 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2020-10-17 09:37:36 +0700 |
| commit | 6b04237b19745ace39bf66fc2607c1fee2ad935f (patch) | |
| tree | ab55e7c6f0480bfab445eb0cb73e6f4087ddb0ae /academic/scipy | |
| parent | 0f2050c6252e2cf3fc8271cc7d0dec715ccefd61 (diff) | |
| download | slackbuilds-6b04237b19745ace39bf66fc2607c1fee2ad935f.tar.gz | |
academic/scipy: Fix README.
Signed-off-by: B. Watson <yalhcru@gmail.com>
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'academic/scipy')
| -rw-r--r-- | academic/scipy/README | 32 |
1 files changed, 17 insertions, 15 deletions
diff --git a/academic/scipy/README b/academic/scipy/README index 730af33108..81198ddbe7 100644 --- a/academic/scipy/README +++ b/academic/scipy/README @@ -1,24 +1,26 @@ 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. -matplotlib and ipython are nice to have in connection with scipy, but scipy -does not depend on them. +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. +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. + 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. |