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== KlimaCampus Lectures ==
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 * [[http://wiki.zmaw.de/lehre/OpenSource2010|Open Source Scripting for Geo-Scientific Data Processing and Analysis]] by LarsKaleschke == ZMAW Settings ==
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== ZMAW Setting == SNOW, SQUALL:
{{{
module load python
}}}
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Python2.6.2 requires Etch32 (Desktop):
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module load R/2.7.0
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[[/ZMAW|More ZMAW specific settings]]
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== Documentation and further reading == == 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 =
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== Modules for Scientific Computing and Visualization == = Modules for Scientific Computing and Visualization =
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=== SciPy/NumPy === == SciPy/NumPy ==
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=== GDAL === == GDAL ==
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 * [[http://wiki.zmaw.de/ifm/gdal|ZMAW GDAL]]
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To enable GDAL use
{{{
module load gdal
}}}

{{{
from osgeo import gdal
}}}


=== PyNGL PyNio ===		 == PyNGL PyNio ==
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To enable PyNGL (on ZMAW Linux ia32/x64 and solaris10) you have to type
{{{
module load PyNGL/1.2.0
}}}

Please note, that Nio should be on the top of the list, e.g.

{{{
import Nio
from osgeo import gdal
import pylab as pl
}}}


=== Python Interface to GrADS ===		 == Python Interface to GrADS ==
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=== RPy === == RPy ==
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=== F2PY: Fortran to Python interface generator === == F2PY: Fortran to Python interface generator ==
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== Topical Modules == = Topical Modules =
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== Python and Climate == = Python and Climate =
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 * [[http://geosci.uchicago.edu/~rtp1/ClimateBook/ClimateBook.html|Principles of Planetary Climate (RAYMOND T. PIERREHUMBERT)]]
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 * [[http://code.google.com/p/pyccsm/|pyccsm A Python version of the CCSM coupler]]
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== Download (try this at home) == = Download (try this at home) =
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= 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

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.

Contents

  1. Python at KlimaCampus
    1. ZMAW Settings
    2. Courses
  2. Documentation and further reading
  3. Modules for Scientific Computing and Visualization
    1. SciPy/NumPy
    2. GDAL
    3. PyNGL PyNio
    4. Python Interface to GrADS
    5. RPy
    6. F2PY: Fortran to Python interface generator
  4. Topical Modules
  5. Python and Climate
  6. Download (try this at home)
  7. Literature

ZMAW Settings

SNOW, SQUALL: 

module load python

Etch32 (Desktop): 

module load Python/2.6.2

More ZMAW specific settings

Courses

Documentation and further reading

Modules for Scientific Computing and Visualization

SciPy/NumPy

pylab

Import the Basemap module 

from mpl_toolkits.basemap import Basemap

GDAL

PyNGL PyNio

Python Interface to GrADS

RPy

F2PY: Fortran to Python interface generator

Calling Fortran code from python is easy!

Fortran to Python

Topical Modules

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

Python and Climate

Download (try this at home)

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

The 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

  • Principles of Planetary Climate (RAYMOND T. PIERREHUMBERT) includes a large collection of Python examples

IfmWiki: FrontPage/Python (last edited 2010-10-25 08:44:17 by LarsKaleschke)