You're reading from Machine Learning with Scala Quick Start Guide

Product typeBook

Published inApr 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789345070

Edition1st Edition

Languages

Scala

Concepts

Machine Learning

Authors (2):

Md. Rezaul Karim

Ajay Kumar N

View More author details

Overview of Scala

Scala is a scalable, functional, and object-oriented programming language that is most closely related to Java. However, Scala is designed to be more concise and have features of functional programming languages. For example, Apache Spark, which is written in Scala, is a fast and general engine for large-scale data processing.

Scala's success is due to many factors: it has many tools that enable succinct expression, it is very concise because you need less typing, and it therefore requires less reading, and it offers very good performance as well. This is why Spark has more support for Scala in the sense that more APIs are available that are written in Scala compared to R, Python, and Java. Scala's symbolic operators are easy to read and, compared to Java, most of the Scala codes are comparatively concise and easy to read; Java is too verbose. Functional programming concepts such as pattern matching and higher-order functions are also available in Scala.

The best way to get started with Scala is either using Scala through the Scala build tool (SBT) or to use Scala through an integrated development environment (IDE). Either way, the first important step is downloading, installing, and configuring Scala. However, since Scala runs on Java Virtual Machine (JVM), having Java installed and configured on your machine is a prerequisite. Therefore, I'm not going to cover how to do that. Instead, I will provide some useful links (https://en.wikipedia.org/wiki/Integrated_development_environment).

Just follow the instructions on how to set up both Java and an IDE (for example, IntelliJ IDEA) or build tool (for example, SBT) at https://www.scala-lang.org/download/. If you're using Windows (for example, Windows 10) or Linux (for example, Ubuntu), visit https://www.journaldev.com/7456/download-install-scala-linux-unix-windows. Finally, here are some macOS instructions: http://sourabhbajaj.com/mac-setup/Scala/README.html.

Java programmers normally prefer Scala when they need to add some functional programming flavor to their codes as Scala runs on JVM. There are various other options when it comes to editors. The following are some options to choose from:

Scala IDE
Scala plugin for Eclipse
IntelliJ IDEA
Emacs
Vim

Eclipse has several advantages using numerous beta plugins and local, remote, and high-level debugging facilities with semantic highlighting and code completion for Scala.

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Authors (2)

Md. Rezaul Karim

Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.
Read more about Md. Rezaul Karim

Ajay Kumar N

Ajay Kumar N has experience in big data, and specializes in cloud computing and various big data frameworks, including Apache Spark and Apache Hadoop. His primary language of choice is Python, but he also has a special interest in functional programming languages such as Scala. He has worked extensively with NumPy, pandas, and scikit-learn, and often contributes to open source projects related to data science and machine learning.
Read more about Ajay Kumar N

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