In test driven development the idea is that you write the test before you can actually start developing the code or I mean that's the theory. How does it work that in test driven data analysis? How does the workflow then work? Almost certainly not like that. One of the things that makes testing data analysis type codes more difficult is that you typically can't write the test ahead of time because your output isn't two plus two equals four. It's, you know, you're producing a graph oryou're producing a table of a million numbers.
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Nick Radcliffe, data scientist and entrepreneur, talks to us about the importance of test your data. As software engineers we are familiar with test driven development. Test driven data analysis puts the same emphasis on validating and testing data for your AI app. We also dive into the Python library of the same name tdda.
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