matplotlib Code

81 lines (43 with data), 2.3 kB

= python docs = 

  python docs: http://www.python.org/doc/

  python tutorial: http://docs.python.org/tut/tut.html

  library reference: http://docs.python.org/lib/lib.html


= scipy and friends docs: http://www.scipy.org/Documentation = 

    Overview:

        Greenfield tutorial:
 
            Excellent tutorial showing many of the scientific python
            packages used in conjunction; may use numarray but easy to
            convert to numpy.
            http://www.scipy.org/wikis/topical_software/Tutorial.

        Hunter Perez Roadshow:

            Rough around the edges and a bit out of date, but contains
            useful stuff -
            http://amath.colorado.edu/faculty/fperez/tmp/py4science.pdf
    
    numpy:

        for purchase: http://www.trelgol.com/

        examples: http://www.scipy.org/Numpy_Example_List

        numarray (older but mostly compatible, free and excellent) :
            http://www.stsci.edu/resources/software_hardware/numarray/manualPDF

    ipython : http://ipython.scipy.org/moin/Documentation
    
        manual: http://ipython.scipy.org/doc/manual.pdf  

        video:   http://showmedo.com/videos/series?name=PythonIPythonSeries

    scipy:

        tutorial:  http://www.scipy.org/SciPy_Tutorial

        cookbook: http://www.scipy.org/Cookbook
      
    matplotlib 

        tutorial :   http://matplotlib.sourceforge.net/tutorial.html

        users guide: http://matplotlib.sourceforge.net/users_guide_0.90.0.pdf

        cookbook: http://www.scipy.org/Cookbook/Matplotlib


= svn = 

    numpy:      svn co http://svn.scipy.org/svn/numpy/trunk numpy

    scipy:      svn co http://svn.scipy.org/svn/scipy/trunk scipy

    ipython:    svn co http://ipython.scipy.org/svn/ipython/ipython/trunk ipython

    matplotlib:  svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib 

    py4science: svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/py4science

    Important commands:

        svn up   : update the repo

        svn log  : see the log messages with the commits

        svn diff : see the changes since the last commit - useful for
                   making patches

= mailing list =

  py4science: http://code.astraw.com/cgi-bin/mailman/listinfo/py4science