Are you a data / machine learning scientist or data engineer who’s wondered how you can apply sensible defaults like TDD to your work? Are you someone who’s ever said “I’ll write tests when this goes to production…it’ll only slow me down” (be honest)? Are you a Python data stack (Pandas, NumPy, etc) or PySpark user curious about testing but don’t know where to start?

If you answered yes to any of those questions then this workshop is for you! Join us as we walkthrough testing patterns for data and machine learning developers (in Python), covering topics such as project setup, testing frameworks / methods, and best practices.