Book Image

Scientific Computing with Scala

By : Vytautas Jancauskas
Book Image

Scientific Computing with Scala

By: Vytautas Jancauskas

Overview of this book

Scala is a statically typed, Java Virtual Machine (JVM)-based language with strong support for functional programming. There exist libraries for Scala that cover a range of common scientific computing tasks – from linear algebra and numerical algorithms to convenient and safe parallelization to powerful plotting facilities. Learning to use these to perform common scientific tasks will allow you to write programs that are both fast and easy to write and maintain. We will start by discussing the advantages of using Scala over other scientific computing platforms. You will discover Scala packages that provide the functionality you have come to expect when writing scientific software. We will explore using Scala's Breeze library for linear algebra, optimization, and signal processing. We will then proceed to the Saddle library for data analysis. If you have experience in R or with Python's popular pandas library you will learn how to translate those skills to Saddle. If you are new to data analysis, you will learn basic concepts of Saddle as well. Well will explore the numerical computing environment called ScalaLab. It comes bundled with a lot of scientific software readily available. We will use it for interactive computing, data analysis, and visualization. In the following chapters, we will explore using Scala's powerful parallel collections for safe and convenient parallel programming. Topics such as the Akka concurrency framework will be covered. Finally, you will learn about multivariate data visualization and how to produce professional-looking plots in Scala easily. After reading the book, you should have more than enough information on how to start using Scala as your scientific computing platform
Table of Contents (16 chapters)
Scientific Computing with Scala
About the Author
About the Reviewer

Basic ScalaSci data structures

As mentioned before, ScalaLab uses its own domain-specific language called ScalaSci. Just think of it as Scala extended with data structures and methods providing some of the functionality of MATLAB. These include vector and matrix objects as well as various useful methods. They work similarly to how they work in the Breeze and Saddle systems we discussed before.

We will briefly overview them here. Covering all the functionality completely would require a separate book. To start using the functionality, you will need to import it. You can do it as shown here:

import scalaSci._

Enter the import statement into the ScalaLab window. You can execute statements by first selecting them as you would select a block of text in the ScalaLab text editor, and then pressing the F6 button. Alternatively, you can navigate the cursor to the line you want to execute, and then press Ctrl + E (or, depending on your system, a different modifier key + E). Try to do this with the...