Developing Scientific Software in Python

Summary

This presentation will outline key lessons learnt in developing scientific software in Python. Methods of maintaining and assuring code quality will be discussed.

Description

In particular:

  • designing effective unit tests;
  • visualising output data to discover defects; and
  • designing characterisation tests to test the actual system behaviour and to
  • identify unintended system changes