Developing Scientific Software in Python


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


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