PyGSL: Python interface for GNU Scientific Library
Status of GSL-Library:
The gsl-library is since version 1.0 stable and for general use. Read more about it at the GSL homepage.
Status of this interface:
We are collecting implementations of parts of gsl. So the interface is not complete. We are looking forward to contributions of new submodules, while maintaining the awailabel code.
- To build the interface, you will need
- gsl-1.2 or better,
- python2.2 or better and
- NumPy, and
- a ANSI C compiler (i.e. gcc).
Retrieving the Interface:
You can download pygsl at http://pygsl.sourceforge.net
Installing GSL interface:
Uninstall the old version of pygsl gsl-config must be on your path
gzip -d -c pygsl-x.y.z.tar.gz|tar xvf- cd pygsl-x.y.z #do this with your prefered python version #to set the gsl location explicitly use setup.py --gsl-prefix=/path/to/gsl #If your are using cvs, remove your build directory. python setup.py build # Running only python setup.py # can result in an error. So if you see an error runing setup.py please run python setup.py build # change to a id, that is allowed to do installation python setup.py install
Do NOT test the interface in the distribution root directory! -- please install it first and then change to the tests directory and execute python run_test.py If you want to execute it in the distribution root directory, please run python setup.py build_ext -i first! It will put the requried binary files into the pygsl directory.
Just write in python import pygsl.sf print "%g+/-%g"%pygsl.sf.erf(1)
or import pygsl.rng rng=pygsl.rng.rng() print rng.gaussian(1.0)
You may set the environment variable LD_LIBRARY_PATH to find the gsl shared object.
Uninstall GSL interface:
rm -r "python install path"/lib/python"version"/site-packages/pygsl
- Linux with python2.* and gsl-1.x
- Mac OS X with python2.* and gsl-1.x
- Win32 with python2.* and gsl-1.x
but is supposed to compile and run on any posix platform
- Currently it is being tested using
- python2.6, numpy1.4 and gsl-1.13 (on linux redhat)
- python2.7 numpy1.8 and gsl-1.16 (on mac os x, fink)
- python3.4 numpy1.8 and gsl-1.16 (on linux debian stable)
The directory test will contain several testsuites, based on python unittest. Change to this directory to run the tests.
What is implemented (versus gsl1.10):
What is not implemented yet (versus gsl1.10):
- GSL Capabilites not yet wrapped by PyGSL
- GSL Capabilites partly implemented
- Discrete Hankel Transforms
See also the TODO file in the distribution.
For the exact function volume for a module, please type:
import pygsl.sf dir(pygsl.sf)
You can do this with the other modules, too. The naming scheme is the same as in gsl.
There will be a small reference, but the function reference can be found in the doc strings and at the gsl-reference. See also the "examples" directory.
Please send mails to the pygsl mailinglist.
You can browse our cvs tree.
Type this to check out the actual version: cvs -d:pserver:firstname.lastname@example.org:/cvsroot/pygsl login Hit return for no password. cvs -z3 -d:pserver:email@example.com:/cvsroot/pygsl co pygsl
The script tools/extract_tool.py generates most of the special function code.
- a gsl-interface for python was needed for a project at center for applied informatics cologne.
- pygsl-0.0.3 was released at May 23, 2001
- pygsl-0.0.4 was released at January 8, 2002
- pygsl-0.1 was released at August 28, 2002
- pygsl-0.1b was released at May 17, 2003
- oygsl-0.3.0 was released
- oygsl-0.3.1 was released
- oygsl-0.3.3 was released
- oygsl-0.9.0 was released
- oygsl-0.9.3 was released on 15. June 2008
- oygsl-0.9.4 will be released soon
- Fabian Jakobs for blas, linalg and eigen
- Jochen Küpper for pygsl.statistics functions
- Leonardo Milano for rpm build support and test
- Michael Forbes for Series Acceleration
PyGSL is currently maintained by Achim Gaedke and Pierre Schnizer.
Thanks to: SourceForge Logo