Miroirs/slackbuilds_ponce
1
0
Fork 0
mirror of https://github.com/Ponce/slackbuilds synced 2024-11-24 10:02:29 +01:00
Code Issues Projects Releases Packages Wiki Activity Actions

academic/scipy3: Wrap README at 72 columns.

Browse source 
Signed-off-by: B. Watson <yalhcru@gmail.com>
This commit is contained in:
B. Watson 2022-03-12 14:37:53 -05:00
parent ad17de3ee4
commit 3f5005bf95
1 changed files with 16 additions and 17 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

33
academic/scipy3/README
View file

@ -1,25 +1,24 @@
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 3 version
installed on your system. If you'd like to use python 2.7.xx as
provided by Slackware Linux then you have to install it with the scipy
SlackBuild.
NOTE: this is for Python 3. If you need Python 2 support, install
scipy.