SE Radio 589: Zac Hatfield-Dodds on Property-Based Testing in Python

Software Engineering Radio - the podcast for professional software developers
09/11/2023 56 min Episodio 589
SE Radio 589: Zac Hatfield-Dodds on Property-Based Testing in Python

Listen "SE Radio 589: Zac Hatfield-Dodds on Property-Based Testing in Python"

Descargar episodio Ver en sitio original

Episode Synopsis

Zac Hatfield-Dodds, the Assurance Team Lead at Anthropic, speaks with host Gregory M. Kapfhammer about property-based testing techniques and how to use them in an open-source tool called Hypothesis. They discuss how to define properties for a Python function and implement a test case in Hypothesis. They also explore some of the advanced features in Hypothesis that can automatically generate a test case and perform fuzzing campaigns.

More episodes of the podcast Software Engineering Radio - the podcast for professional software developers

SE Radio 700: Mojtaba Sarooghi on Waiting Rooms for High-Traffic Events 23/12/2025
SE Radio 699: Benjamin Brial on Internal Dev Platforms 17/12/2025
SE Radio 698: Srujana Merugu on How to build an LLM App 09/12/2025
SE Radio 697: Philip Kiely on Multi-Model AI 03/12/2025
SE Radio 696: Flavia Saldanha on Data Engineering for AI 25/11/2025
SE Radio 695: Dave Thomas on Building eBooks Infrastructure 19/11/2025
SE Radio 694: Jennings Anderson and Amy Rose on Overture Maps 12/11/2025
SE Radio 693: Mark Williamson on AI-Assisted Debugging 06/11/2025
SE Radio 692: Sourabh Satish on Prompt Injection 28/10/2025
SE Radio 691: Kacper Łukawski on Qdrant Vector Database 22/10/2025
© 2003-2025 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA