Programming Scala: Tackle Multi-Core Complexity on the Java Virtual Machine

Programming Scala: Tackle Multi-Core Complexity on the Java Virtual Machine by Venkat Subramaniam


ISBN
9781934356319
Published
Released
01 / 05 / 2009
Binding
Paperback
Pages
250
Dimensions
191 x 228 x 18mm

Edited by Daniel H Steinberg.

The increasing popularity and availability of multi core processors is creating a whole new set of challenges - although you can enjoy true concurrency, you're now faced with higher contention and synchronization issues. Deploying an existing application on a multi core processor may bring out previously hidden concurrency issues. Java's multi-threading facility by itself isn't enough - it's a very low level abstraction. Instead, you need a paradigm that provides a higher level of abstraction to deal with concurrency. It's time to embrace Functional Programming. Scala is a hybrid Object- Oriented/Functional Programming language on the JVM. Using Scala, you can create traditional imperative programs, intermix them with Java code, and at the same time take advantage of higher levels of abstraction. You can use features that lead to concise, highly expressive code that remove the pain of dealing with concurrency. "Programming Scala" will show you the fundamentals of functional programming using Scala. Very quickly, you'll learn how this statically typed language can give you dynamic capabilities to create concise, scalable, highly capable concurrent code. Pragmatic programmers always use the right tool for the job. For concurrent programming on the Java VM, Scala is the tool, and Programming Scala by award-winning author Venkat Subramaniam is your guide.
59.99


This product is unable to be ordered online. Please check in-store availability.
Programming Scala: Tackle Multi-Core Complexity on the Java Virtual Machine is Out of Print


RRP refers to the Recommended Retail Price as set out by the original publisher at time of release.
The RRP set by overseas publishers may vary to those set by local publishers due to exchange rates and shipping costs.
Due to our competitive pricing, we may have not sold all products at their original RRP.