Hypothesis is the Python tool used for property based testing.
Hypothesis claims to combine "human understanding of your problem domain with machine intelligence to improve the quality of your testing process while spending less time writing tests."

In this episode Alexander Hultnér introduces us to property based testing in Python with Hypothesis.

Some topics covered:

What is property based testing
Thinking differently for property based testing
Using hypothesis / property based testing in conjunction with normal testing
Failures saved and re-run
What parts of development/testing is best suited for hypothesis / property based testing
Comparing function implementations
Testing against REST APIs that use Open API / Swagger with schemathesis
Changing the number of tests in different test environments
System, integration, end to end, and unit tests

Special Guest: Alexander Hultnér.

Sponsored By:

PyCharm Professional: Try PyCharm Pro for 4 months and learn how PyCharm will save you time. Promo Code: TESTANDCODE22

Links:

107: Property Based Testing in Python with Hypothesis - Alexander Hultnér 36:19 Share

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Shownotes Transcript

107: Property Based Testing in Python with Hypothesis - Alexander Hultnér