Functional Programming for Java Developers: Tools for Better Concurrency, Abstraction, and Agility

Wampler, Dean

ISBN 10: 1449311032 / ISBN 13: 9781449311032

Published by O'Reilly Media, 2011

About this Item

In Very Good Condition. Paperback, 72 Pages.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us. Seller Inventory # X14693x

Bibliographic Details

Title: Functional Programming for Java Developers: ...

Publisher: O'Reilly Media

Publication Date: 2011

Binding: Soft cover

Condition: Very Good

Edition: 1st Edition.

About this title

Synopsis:

Software development today is embracing functional programming (FP), whether it's for writing concurrent programs or for managing Big Data. Where does that leave Java developers? This concise book offers a pragmatic, approachable introduction to FP for Java developers or anyone who uses an object-oriented language.

Dean Wampler, Java expert and author of Programming Scala (O'Reilly), shows you how to apply FP principles such as immutability, avoidance of side-effects, and higher-order functions to your Java code. Each chapter provides exercises to help you practice what you've learned. Once you grasp the benefits of functional programming, you’ll discover that it improves all of the code you write.

Learn basic FP principles and apply them to object-oriented programming Discover how FP is more concise and modular than OOP Get useful FP lessons for your Java type design—such as avoiding nulls Design data structures and algorithms using functional programming principles Write concurrent programs using the Actor model and software transactional memory Use functional libraries and frameworks for Java—and learn where to go next to deepen your functional programming skills

About the Author:

Dean Wampler is a Principal Consultant at Think Big Analytics, where he specializes in "Big Data" problems and tools like Hadoop and Machine Learning. Besides Big Data, he specializes in Scala, the JVM ecosystem, JavaScript, Ruby, functional and object-oriented programming, and Agile methods. Dean is a frequent speaker at industry and academic conferences on these topics. He has a Ph.D. in Physics from the University of Washington.