Bulletproof Python - Property-Based Testing with Hypothesis
Michael Seifert
Do you find yourself working through pages of copied and pasted tests to accommodate a simple code change? Does your software frequently break in unexpected ways despite your testing efforts? Don’t despair! Property-based testing could be your way out of that mess. Rather than working harder and writing more test code, property-based testing forces you to work smarter and test more code with fewer tests.
Michael Seifert
Michael is a trainer and consulting software engineer who helps product teams develop Python software in the cloud. He enjoys deleting code more than writing it and is constantly looking for ways to make software easier to maintain.
Michael published his first FOSS project in 2006. He's the currently a maintainer of pytest-asyncio and happens to be a Shuffle Dance enthusiast.