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> wish there was some more variety

Kotlin is coming up on the outside. Late to the party, but the data science ecosystem is progressing nicely.

CERN started diving into Python back in 2002, I was part of one of the first trainings that were taking place.

Same applies to many other research institutions.

Good luck catching up with a 20 years old ecosystem, with a language that only gets used mainly thanks to Google's sponsorhip for Android apps.

Kind of ignorant... given that Kotlin is JVM-compatible, it works with libraries even more than 20 years old.

Do I care if it is at parity with Python? Hell no I don't, as long as it allows me to accomplish the tasks I need -- and it does, faster, easier, with fewer errors -- then I'm very happy.

This is an interesting observation. Some of the data scientists I work with have been using Kotlin to define "analytic grammars", and is the first example (in my limited Kotlin awareness) i've seen of Kotlin outside of Android development.

It seems that Roman Elizarov (Kotlin Project Lead) has identified the opportunity for a better language ecosystem to enter the data science space

https://discuss.kotlinlang.org/t/ai-and-deep-learning-define...

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