Right on - in your experience, is it something that happens with a lot of data science teams? (The writing of tests, I mean.)
I'm a weird convert towards testing, if it isn't immediately obvious hehe, but I'm always surprised at just how few tests can be found out there sometimes.
No, I don’t see a lot of testing in the data science world (: I agree, I think there could definitely be a lot more of it. It would make writing data models a lot easier to scale, instead of building code and fix models. But I feel like a lot of data scientists aren’t taught how to write good tests and that’s why they’ve been able to survive without it. Are you a data scientist? Where did you learn how to test?
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