For installing from source, and assuming the user has all of the

C-level compilers and dependencies, this can be accomplished fairly

easily using `distribute` and following the instructions `here

change to the matplotlib library code will be to import `pyparsing`

from the top-level namespace rather than from within matplotlib. Note

that `distribute` will also allow us to remove the direct dependency

.. _network graph visualizer: http://github.com/blog/39-say-hello-to-the-network-graph-visualizer

.. _git user manual: http://schacon.github.com/git/user-manual.html

.. _git tutorial: http://schacon.github.com/git/gittutorial.html

.. _git ready: http://www.gitready.com/

.. _git casts: http://www.gitcasts.com/

.. _Fernando's git page: http://www.fperez.org/py4science/git.html

Matplotlib only uses BSD compatible code. If you bring in code from

another project make sure it has a PSF, BSD, MIT or compatible license

(see the Open Source Initiative `licenses page

licenses). If it doesn't, you may consider contacting the author and

asking them to relicense it. GPL and LGPL code are not acceptable in

the main code base, though we are considering an alternative way of