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= Python at KlimaCampus =

This page shall be a central help for ZMAW/KlimaCampus users of Python. Contact LarsKaleschke for permission to edit this page. Please help to fill this page with useful information about Python for climate research and data analysis.


<<TableOfContents(2)>>


== ZMAW Settings ==

SNOW, SQUALL: 
{{{
module load python
}}}

Etch32 (Desktop):
{{{
module load Python/2.6.2
}}}

[[/ZMAW|More ZMAW specific settings]]

== Courses ==

 * [[http://wiki.zmaw.de/lehre/OpenSource2010|Open Source Scripting for Geo-Scientific Data Processing and Analysis]] by LarsKaleschke '''KlimaCampus Lecture'''
 
= Documentation and further reading =

 * http://www.python.org/doc/ Standard documentation
 * [[http://www.cfa.harvard.edu/~jbattat/computer/python/science/idl-numpy.html|NumPy for IDL users]]
 * [[http://www.scipy.org/NumPy_for_Matlab_Users|NumPy for Matlab users]]
 * [[http://www.tau.ac.il/~kineret/amit/scipy_tutorial/|SciPy tutorial]]
 * [[http://software-carpentry.org/|Software Carpentry]]


= Modules for Scientific Computing and Visualization =

== SciPy/NumPy ==

 * http://www.scipy.org/

=== pylab ===

 * [[http://matplotlib.sourceforge.net/|Matplotlib/pylab]] Plotting functions with a high degree of Matlab compatibility
 * [[http://matplotlib.sourceforge.net/basemap/doc/html/]] Matplotlib Basemap

Import the Basemap module 
{{{
from mpl_toolkits.basemap import Basemap
}}}

== GDAL ==

 * [[http://www.gdal.org/|GDAL - Geospatial Data Abstraction Library]] for various satellite data formats
 * [[http://wiki.zmaw.de/ifm/gdal|ZMAW GDAL]]

== PyNGL PyNio ==

 * [[http://www.pyngl.ucar.edu/|PyNGL/PyNIO]] Python interface to [[http://www.ncl.ucar.edu/ | NCAR Command Language]]
 * Scientific visualization and data formats (netCDF, HDF, GRIB etc.)

== Python Interface to GrADS ==
 * http://opengrads.org/wiki/index.php?title=Python_Interface_to_GrADS
== RPy ==
 * [[http://rpy.sourceforge.net/| RPy (R from Python)]] Statistical computing and graphics

== F2PY: Fortran to Python interface generator ==

Calling Fortran code from python is easy! 

[[/F2PY|Fortran to Python]]

= Topical Modules =

 * [[http://www.imr.no/~bjorn/python/seawater/index.html|Seawater]] is a package for computing properties of seawater (UNESCO 1981 and UNESCO 1983).
 * [[https://launchpad.net/escript-finley/|Escript/Finley: Fast Finite Elements for Partial Differential Equations]]

More topical software can be found at http://scipy.org/Topical_Software

= Python and Climate =
 
 * [[http://maths.ucd.ie/~rca/climt/|CliMT: An object-oriented Climate Modeling and diagnostics Toolkit]]
 * [[http://www2-pcmdi.llnl.gov/cdat|Climate Data Analysis Tools (CDAT)]]
 * [[http://code.google.com/p/pyccsm/|pyccsm A Python version of the CCSM coupler]]

= Download (try this at home) =

A basic system for scientific computing consists of Python, ipython, numpy/scipy, pylab, and an editor of your choice

 * [[http://python.org/download/|Python interpreter]]
 * [[http://ipython.scipy.org/moin/Download|IPython shell]]
 * [[http://www.scipy.org/Download| SciPy]]
 * [[http://matplotlib.sourceforge.net/|Matplotlib/pylab]]
 * [[http://www.crimsoneditor.com/| Editor]] (a nice editor for Windows user, if you don't like to install xemacs)

The [[http://www.pythonxy.com/foreword.php|python(x,y)]] distribution contains all that above.

= Literature =
 
 * Python Scripting for Computational Science, Hans Petter Langtangen, Springer (available in the ZMAW library)
 * Matplotlib for Python Developers - Build remarkable publication quality plots the easy way, Sandro Tosi, Packt Publishing, Birmingham - Mumbai, 2009
 * [[http://geosci.uchicago.edu/~rtp1/ClimateBook/ClimateBook.html|Principles of Planetary Climate (RAYMOND T. PIERREHUMBERT)]] includes a large collection of Python examples