This is because smaller tests aren’t only more efficient from a practical standpoint - since testing smaller units will allow your tests to run faster - but also conceptually, as it will provide you with a more detailed view of how the granular code is behaving. It’s a test that checks a single component of code, usually modularized as a function, and ensures that it performs as expected Unit testing is one of the most powerful skills a data scientist can master, it’s the Griffin of programming. How to do a parameterized test with pandas dataframe?.How to do a parameterized test that checks for errors?.
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