Learn functional data structures and algorithms for your applications and bring their benefits to your work now
About This Video
Moving from Object-Oriented Programming to functional programming? This book will help you get started with functional programming.
Easy-to-understand explanations of practical topics will help you get started with functional data structures.
Illustrative diagrams explain algorithms in detail.
Get hands-on with Scala to get the most out of functional programming.
Functional data structures have the power to improve the code base of an application and improve efficiency. With the advent of functional programming, and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread-safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in a functional setting? Won’t we end up copying too much? Do we trade performance for versioned data structures? This course attempts to answer these questions by looking at functional implementations of traditional algorithms.
It begins with a refresher and consolidates what functional programming is all about. Next, you’ll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Moving on, you will learn about binary trees, where we will be building complete trees, greedy algorithms, and back tracking
Table of contents
- Chapter 1 : Why Functional Programming?
- Chapter 2 : Building Blocks
- Chapter 3 : Lists
- Chapter 4 : Binary Trees
- Chapter 5 : More List Algorithms
- Title: Functional Data Structures and Algorithms
- Release date: June 2017
- Publisher(s): Packt Publishing
- ISBN: 9781788393256
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