Bye bye Java, Hello ScalaIn the JVM world, Scala is certainly the rising star. Created at EPFL in 2001, its strongly gaining in popularity. Depending on the indices, it ranks now as a "serious" language reaching far beyond the academic world and adopted in mainstream companies (twitter backend, Ebay research, Netflix, FourSquare etc.).
For data scientists, this language is a breeze. Above the religion war between functional and object oriented believers, it succeeded by merging the best of both worlds, with a strong drive at "let's be practical."
If Grails/Groovy was a big step forwards in productivity on the JVM, Scala goes even further, mixing static typing (thus efficiency) with many improvements in the language structure, collections handling, concurrency, backed by solid frameworks and a very active community.
In this post, I'll picked up six major (and subjective) improvements, showing my hardcore Java colleagues how jumping on this train would be a promise of a great journey.