February 2017
Beginner to intermediate
318 pages
5h 41m
English
Overview
"Learning Functional Data Structures and Algorithms" dives into the world of functional programming to teach you how to leverage the power of immutable, persistent data structures for writing efficient and robust code. By focusing on practical implementations using Scala and exploring fundamental concepts of functional programming, this book ensures you gain hands-on experience to excel in real-world applications.
What this Book will help me do
- Grasp the core concepts of functional programming and apply them to traditional algorithms.
- Implement and understand functional versions of ADTs like Stacks, Queues, Trees, and Graphs.
- Benefit from performance optimizations through techniques such as amortization and lazy evaluation.
- Explore the role of immutability in creating thread-safe and concurrent data structures.
- Gain practical Scala coding experience and learn best practices for writing functional algorithms.
Author(s)
None S. Khot and None Mishra are seasoned software developers and educators with years of experience in functional programming and designing algorithms. They approach teaching by simplifying complex concepts with clear explanations and hands-on examples, empowering readers to apply these ideas effectively.
Who is it for?
This book is ideal for developers familiar with programming who aim to transition to a functional programming paradigm and improve their understanding of data structures. Aimed at those with prior basic knowledge of functional programming, it serves as a guide for developers seeking to write more elegant, efficient, and concurrent code, with a focus on using Scala.
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