is scala used for data science?

Scala is a multi-paradigm (supports both object-oriented and functional programming) and scripting language used to build applications for the JVM. Notably, the library's neural networks are programmatic and support all of Scala's features. Last year, in the Tiobe Index report, Scala secured 20th place among the top twenty programming languages with a score of 0.9%. Scala is a combination of object-oriented and functional programming in a concise, high-level language.

The Scala programming language is designed to implement solutions at scale to process large amounts of data in order to produce actionable information. Reports have also shown that Scala is securing the 30th position in the list of the top 50 trendy programming languages. Classes are considered very useful in object-oriented programming and this is also true for Scala. It allows users to create MapReduce programs that look like transformations of a native Scala or Java collection.

We will cover Spark with Scala in the next article and finish the series with Machine Learning with Spark and Scala. This badge winner has an understanding of the core concepts of Scala programming, Spark, and Data Science with the Scala language. Scala is an object-oriented programming language and functions can be written in much the same style. As with other programming languages, Scala expressions follow a similar approach with numeric, Boolean, and logical expressions.