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Podcast: Test & Code
Episode: 33: Katharine Jarmul - Testing in Data Science
Description: A discussion with Katharine Jarmul, aka kjam, about some of the challenges of data science with respect to testing.
Some of the topics we discuss:
experimentation vs testing
testing pipelines and pipeline changes
automating data validation
property based testing
schema validation and detecting schema changes
using unit test techniques to test data pipeline stages
testing nodes and transitions in DAGs
testing expected and unexpected data
missing data and non-signals
corrupting a dataset with noise
fuzz testing for both data pipelines and web APIs
datafuzz
hypothesis
testing internal interfaces
documenting and sharing domain expertise to build good...