PyGSL

PyGSL is a really handy Python interface for the GNU Scientific Library, also known as GSL. It makes it easier to perform scientific computations in Python, which is super useful if you're diving into data analysis or any kind of research!

Requirements to Get Started

• Python installed on your machine


• The GNU Scientific Library (GSL)


• NumPy for numerical operations


• An ANSI C compiler, like GCC

How to Install PyGSL

First things first: make sure to uninstall any old versions of PyGSL. You also need to have gsl-config in your path. Here's how you can install it:

gzip -d -c pygsl-x.y.z.tar.gz | tar xvf -

cd pygsl-x.y.z

# Use your preferred Python version here!

# To specify where GSL is located, run:

python setup.py --gsl-prefix=/path/to/gsl

# If using CVS, delete your build directory first.

python setup.py build

# Running just this might lead to errors!

python setup.py install

Testing Your Installation

You're almost there! But don't test the interface right in the distribution root directory. First, install it and switch to the tests directory. Then run:

python run_test.py

If you really want to test it from the root directory, remember to run this command first:

python setup.py build_ext -i

Diving into Coding with PyGSL!

You can start coding right away! Here are a couple of quick examples:

# For error functions

import pygsl.sf

print("%g+/- %g" % pygsl.sf.erf(1))



# For random number generation

import pygsl.rng

rng = pygsl.rng.rng()

printf(rng.gaussian(1.0))

If needed, set the environment variable LD_LIBRARY_PATH so that GSL can find its shared objects.

Cleaning Up Old Files

If you ever need to remove PyGSL from your system, just run this command:

rm -r "python install path"/lib/python"version"/site-packages/pygsl

What's New?

This release has some cool updates!

• The header file solver.h, which was causing issues on Mac systems, has been fixed.


• The detection of array modules has been improved.