Python and R have proven popular among data scientists, while Java has been the go-to language for those developing apps on Hadoop. With the rise of Scala-based big data frameworks like Apache Spark ...

Python has scaled to the top of the monthly PyPL language popularity index, overtaking Java. Also on the rise, in the rival Tiobe index, is Scala, which has again cracked the index’s Top 20.

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While Java, as well as Kotlin and Scala, can be used for data science, it's more likely to play a role behind the scenes, Ravisankar says. "Java is not built for data science -- most Java applications ...

For the first time in Tiobe's long-running index, 35-year-old Python has overtaken Java to become the second-most popular programming language. Python, a top choice for data-science and machine ...