What is Scala and why should you learn it?

Scala is a general-purpose multi-paradigm programming language that provides support for functional programming and a strong static type system. Scala also smoothly integrates the features of object-oriented languages. It is an acronym for "Scalable Language". This means that Scala grows with you.



The scala was designed to express common programming patterns in a concise, elegant, and type-safe way. It has been created by Martin Odersky and released in 2003. At the time of writing, there were 269 contributors on the GitHub Scala repository.

Scala Programming is based on Java and runs on a Java virtual machine, so if you are aware of Java syntax, then it's pretty easy to learn Scala. It also comes with the Java Runtime Environment, also known as the JRE.

One good way to think of Scala is its like a static version of ruby, that has an emphasis on functional aspects. Some of the more complex features of the language ultimately make it easier for the developer to write better code and increase performance by programming in Scala. The language is designed to be clear and concise, with various implicit techniques to help simplify common tasks.

So, why should you learn Scala?

Scala is a language which scales well to tackle various problems. Scaling is refer in the sense of performance but in the sense that the language itself can seem to be expanded via libraries. Scala was created specifically with the goal of being a better language, shedding those aspects of Java which it considered restrictive, overly tedious, or frustrating for the developer.

As a result, there are indeed code distinctions and paradigm shifts that can make early learning of Scala programming a bit more difficult, but the result is a much cleaner and well organized language that is ultimately easier to use and increases productivity.
Scala can be used for the same things that any other general purpose language on the JVM runtime can be used for, which sort of boils down to different flavours of application programming.

Various Scala frameworks offer different approaches to asynchronous abstractions, such as Akka's message passing. Akka supports distribution by means of extending message passing to the cluster level, Finagle focuses on RPC, and for distributed data processing Spark is an obvious candidate.

Another goal of Scala was to bridge the gap between functional and object-oriented languages. It contains many constructs inspired functional languages. Even, some popular companies such as Twitter and LinkedIn have adopted Scala to improve the productivity of their developers.

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