This guide shows how to use pytest to write lightweight yet powerful tests for functions, NumPy arrays, and pandas DataFrames. You’ll also learn about parametrization, fixtures, and mocking to make your data science workflows more reliable and production-ready.
This guide shows how to use pytest to write lightweight yet powerful tests for functions, NumPy arrays, and pandas DataFrames. You’ll also learn about parametrization, fixtures, and mocking to make your data science workflows more reliable and production-ready.