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Code Quality
There's often a lot of competing opinions on this kind of topic around like code quality and whatnot. Lazlo wrote a blog post somewhat recently, where he kind of made a separation between essentially code that's for analysis, versus code quality for like production. And I think as the software engineer, I am more inclined to at least have a base level of quality where it's not all about how much data you can get from an ML tool. But we're thinking about that because we're trying to saylike how can we, you know, hide the data abstractions as much as possible so that we can encourage a data scientist to be like, okay, go back to your data structures