Exceptions, Logging, Debugging

This course introduces one of the many aspects of writing good code – i.e., code that can be read, maintained and redeployed by others in your team. A principled approach to discovering and handling runtime errors is key to getting rid of preventable problems that can threaten your application’s stability and security.


Tech Analysts, S&T Analysts (optionally)

Learning Outcomes

By the end of this course, participants should be able to:rn• Enumerate and deploy the native Exceptions within Pythonrn• Write simple code which try/catch/raises themrn• Evaluate where is the best place in code to implement themrn• Create custom Exception classes.rn• Use the most common features of standard Python logging and debugging packages.

Course Content

• Orientation: Errors or Exceptions?rn• Common types of exceptionsrno Value Errorrno Name Errorrno DividebyZeroError.rn• Exception syntax (try, catch, raise, finally).rn• User-defined exceptions with automated clean-up/roll-back functionality.rn• Workshop 1: implement a simple user form and catch all possible exceptions resulting from improper user input.rn• Debugging with pdb.rn• Logging with logging, including writing handlers for multiple logs.rn• Workshop 2: implement logging on the example in Workshop 1, with three separate logs,rno one to log access to the form,rno one to log user-generated errors,rno and a third to log system errors (e.g. application force stop/downtime)


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We are thought leaders in instructional and learning journey design and holistic solution architects. We have extensive finance and investments experience combined with skills application to deliver performance improving results. We develop immersive learning environments that maximize time to productivity, support talent retention and added value to improving quality of hires.

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