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I think you're trying to oversell here, Scala is bloated with lots of paradigms and lots of features. It's pretty hard to know what to use. Python in most ML fr

• lmm 6y ago
  > Scala is bloated with lots of paradigms and lots of features. It's pretty hard to know what to use. It's a flexible language, but I wouldn't say bloated - there actually aren't so many language-level features, but the features there are are very general. Some parts are simpler, e.g. in Python I struggle to remember which method you have to define to overload the * operator, whereas in Scala you just define a method called * . But I'd agree that there are a bunch of overcomplicated frameworks that can be pretty confusing - it's not always an easy language to get started with. But I stand by the statement that you can write Python-like code in it, at least once you know what you're doing. > Python in most ML frameworks is just a frontend, other beefy stuff gets processed by c++ or c Right, and that introduces a bunch of overhead and possibilities for weird errors - e.g. when you hit a bug in a library you pretty much have to learn how to debug C. In Python the benefits are worth it, but there's undeniably an overhead - if you could use the same language top-to-bottom but still have all the nice things Python gives you, that would be a much nicer way to work.