Michael is a consulting software engineer who helps product teams to develop Python software in the cloud. He worked with many different teams from various industries, but none of them practised property-based testing and only few were familiar with the concept.
This prompted him to spread the word about property-based testing and Hypothesis in an effort to help others write more robust and maintainable software.
Bulletproof Python – Property-Based Testing with Hypothesis
Property-based testing is a great benefit to the robustness and maintainability of your software. Yet, the technique is still vastly underused in the Python community. The workshop gives a hands-on introduction to Hypothesis and practices different approaches for writing property-based tests for Django applications.