is scala useful for data science?

Python and Scala are two of the most popular languages used in data science and analytics. These languages provide great support for creating efficient projects in emerging technologies. The Scala programming language is built to implement solutions capable of scaling big data to produce actionable insights. Like other programming languages, Scala expressions follow a similar approach with numerical, Boolean and logical expressions.

Scala Puzzlers by Andrew Phillips and Nermin Šerifović provides a fun way to learn more advanced Scala. This badge winner has an understanding of the core concepts of Scala programming, Spark, and Data Science with the Scala language. We'll cover Spark with Scala in the next article and finish the series with Machine Learning with Spark and Scala. Scala's type system is very expressive, but getting to know it well enough to use its full power takes time and requires adapting to a new programming paradigm.

Scala is an object-oriented programming language and functions can be written in much the same style. Scala is a multi-paradigm programming language (it supports both object-oriented and functional programming) and a scripting language used to build applications for the JVM. Classes are considered very useful in object-oriented programming and this is also true for Scala.