how is scala used in data science?

Scala is an object-oriented programming language and functions can be written in more or less the same style. The Scala programming language is built to implement scalable solutions for big data analysis in order to produce actionable information. Scala is a compiled language that runs on the JVM, or Java Virtual Machine, and is largely based on the Java programming language. While object-oriented programming combines data structures with the actions you want to perform on them, functional programming keeps the two separate.

Scala is a fully-fledged OOP language, and it is possible to write very elegant and expressive programs without even touching its functional attributes. 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 runs on the JVM, so Java classes and libraries can be used directly in Scala code and vice versa. Classes are considered very useful in object-oriented programming and this is also true for Scala.

We will cover Spark with Scala in the next article and finish the series with Machine Learning with Spark and Scala. ScalaCon is an opportunity to learn new Scala skills and find out what is happening in the Scala development world. You will need to understand IDEs and command line interface programming paradigms and Scala syntax. Last year, in the Tiobe Index report, Scala ranked 20th among the top twenty programming languages, with a score of 0.9%.

This course will teach you about functional programming in Scala, classes and functions, and the Scala collections library (Scala collections are similar to data structures). You will find useful exercises and examples that will help you increase your skills in Scala and functional programming.