The Python TDA library also includes some relatively new functionality for writing tests for you. That's for anything that you can run from the command line. We have had prototype stuff for doing things in real-time as well, but that's not really available in the library. There are some interesting extra challenges if you do things in real time sort of feeding one case in at a time. So it's easy to check the range of a field. On the data checking part, I think that is different. If you're running in batch, you can definitely have the checks just as part of what you're doing.
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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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