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
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Database access using JDBC

In relational databases, data is organized in to tables with multiple columns and rows where each row gets a unique key. Columns usually represent properties while rows represent different objects or data records. Relational databases were proposed by E. F. Codd in the 1970's. They are a popular way of storing all kinds of data. Usually, relation database systems provide fast and convenient access to data using various queries. These queries describe various conditions that have to be satisfied by the data being retrieved. This allows one to select and combine database rows to retrieve information. Virtually all relational database systems use SQL to query and maintain the database. You can use SQL statements to insert data into database, create new tables, drop tables, query data, and perform other tasks. JDBC is Java's standard for connecting to databases and executing SQL statements. One straightforward way of accessing relational databases from Scala is using...