LES python seminar series (Thursday, 10:30 - 12:00, Geomatikum, 1729)

contact: Alex Loew, Julia Pongratz

What you should be able to do in advance

• python programming structures
• if clauses
• function calling
• print statements
• well, running python scripts (in python shell and interactive shell like ipython)
• edit python scripts in the editor of your choice
• ...

Seminar outline

Working with arrays (Gernot, Michael) (19.07.2012)

• Commented examples from the seminar

• general information on python data model (copy, references, deepcopy)

• map and lambda functions

• numpy arrays (indexing, slicing, views ...)

• array functions (mean, sum etc. along axes)
  • data type conversions

  • elementwise functions

  • linear algebra

  • array statistics

• masked arrays

• reading ASCII files etc.

  • numpy input and output

  • general input and output (opening a file and working with a file)

• pickle, cPickle

Plotting (1D,2D,3D) (Alex) (2.8.2012)

Course material for plotting

* subplots, figure, axis objects; easy and more sophisticated appraoches

• always use figure/ax

• a brief tour through matplotlib gallery

  • lineplots
  • fill_between
  • contour plots
• nice colorbars, colormaps handling etc.
• working with different axes in a single plot; twinx()
• saving figures
  • fitting to actual content

• tight_layout

Geospatial data format handling and vizualization (Mikhail) (16.08.2012)

• Nio - handling netCDF
  • read netCDF
  • write netCDF
    • data type conversions

• GDAL: the door to a huge number of different file formats ...

• Basemap
• pyNGL

system operations (Michael) (30.8.2012)

• replacing BASH: working with os adn system objects
• os.system, subprocess etc.
• python as a replacement for bash
• how to debug a python program?

structuring a program (Mikhail) (13.9.2012)

• python functions with optional and kwargs
• python object oriented programming (classes etc)

time series analysis: the Pandas module (Mikhail)

• introduction to pandas timeseries analysis module

pyCMBS (Alex)

• introduction to pyCMBS
• cdo interfacing
• anomaly calculations, hovmoeller plots etc

Integration of other programming languages (Alex, no date yet)

• R
• f2py
• C-code
• matlab

scientific data analysis in python

• EOF, SVD analysis

running JSBACH offline in a python environment (Gernot)

parallel programming (Heinrich Widmann)

• openMP, MPI, subprocesses, threads

statistics in python (???)

• statistical analysis of large data sets

other topics

• animations
• GUI programming (Alex, remon???)
• H5PY - simple access to HDF5 files
• python2.x or python3.x (does it make a difference?)

projects to work on ...

• MPI-ESM in python (Christian)