Course outline

Part 1: The theoretical part ...

Motivation and get it going

• Introduction
  • A python primer
  • Getting started

General python introduction (2x)

• What is a program?
• Python basics
• Basic operators and dictionaries
• First steps ... basic data types, variables and operations; Control structures
• Everything is an object ... About functions and classes
• Some words about what is equal
• Keeping control of your programs ... (for, while, break, continue, if)

• Solutions to problems

Scientific modules in python

• Numerical python (numpy) (1x)
  • Some more advanced numpy stuff
  • Masked arrays
• Plotting in python (matplotlib)
  • Your best friend
  • Plotting basics
  • Getting into more detail ...
  • Map plots: Basemap
  • Map plots: Cartopy TBD

• Handling different data formats

• Scientific data analysis (scipy)

  • Some basics (regression analysis, statistical testing, interpolation)
  • Time series analysis: pandas
  • A bit more advanced stuff

Geospatial data handling

• Handling geospatial data (raster and vector); gdal and other cool tools (2x)
• Modules for geoscientists
  • GDAL virtual files and OSGEO ...
• Interpolation and data fitting (1x)
• Using python for GIS automatization ... the ArcGIS example TBD BEN

Special aspects

• making my code faster ... how to achieve a speedup by a factor of $10^4$ (numba, multiprocessing, cython)
  • High performance computing (HPC)
  • code versioning and collaborative coding
  • making my code better (PEP8 standard, testing)
  • automated testing and continuous integration

For the geeks

• Replace the paper and pencil ... symbolic math in python
• Integration of existing Fortran and C code

Part 2: Let's hack ... the practical part

• Your / our project
• Collaborative applied coding project