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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 ...
Why Java in Your Data Science Workflows? All languages are beautiful, their individual beauty often lies in the eye of the beholder. Open source languages Python and R since 2010-15 have dominated ...
In contrast, a data structure is a concrete implementation of one or more ADTs, similar to how Java classes implement interfaces. Examples of ADTs include Employee, Vehicle, Array, and List.
Python rival, R, a popular language for data scientists and academics, has gained two places and is now at 13th spot, which O'Grady reckons is about as high as it will ever get.
But having spent the past two decades of his life producing Java applications for other people, the 57-year-old computer scientist is now getting a chance to use it himself.