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Spark is used in the examples, but these points carry over to other libs. Take cats for example. If you look at the cats README (https://github.com/typelevel/cats) there is this caveat: Cats relies on improved type inference via the fix for SI-2712, which is not enabled by default. For Scala 2.11.9+ or 2.12 you should add the following to your build.sbt: scalacOptions += "-Ypartial-unification"
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More cats specific stuff here: https://github.com/sbt/sbt/releases/tag/v1.5.0-RC2
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Any given library might or might not be. Most Scala libraries use semantic versioning and are binary backward-compatible across minor versions, but certainly not all In this respect, Scala is not significantly different from other languages.
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I could see this argument made with Clojure, but I don't really see what makes Scala significantly better at FP than Kotlin. Kotlin has an official persistent data structures library nowadays, and it's got lambdas and higher order functions.
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I haven't tried Spark from Kotlin, but it's a nice experience working with it in Clojure, and I have yet to see a language more expressive than Clojure. :)
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