Topics in Scientific Computing with Python

Daniel Collins1

1CSIRO, Canberra, Australia

 

This half-day workshop will explore several topics in the use of Python for scientific computing. Participants will work through hands-on modules covering a range of topics and scientific domains. While some modules will assume little to no Python experience, others require previous experience such as the Python for Scientists 3 day course or equivalent. Participants can choose topics of interest to them, and the available material should appeal to research scientists as well as software engineers.

Module topics include:

  • Unit testing and test-driven development for scientists
  • A programmers guide to cleaning messy sensor data with Pandas
  • Symbolic maths
  • Object-oriented Python: writing your own classes
  • An exploration of options for increasing the performance of your code
  • Using PyTables with HDF5 data
  • Exploring Python decorators
  • Reproducibility with Python

All training material will be available for participants to keep after the workshop.


Biography:

To be advised

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