Unit Testing Python Code in Jupyter Notebooks Writing unit te | Data Science Digest

Unit Testing Python Code in Jupyter Notebooks

Writing unit tests appears to be the natural way of doing things when you work on production code, library code, or have to engage with test-driven environments. But what about writing unit tests for your Jupyter notebooks? In some cases, you don’t need it, but when you go beyond data exploration, you definitely do — you just have to maintain and monitor your code in the long run. Learn how unit tests can help you make your Data Science work more efficient, and then try it in practice. You won’t be disappointed!

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