Book Image

Hands-On Data Structures and Algorithms with Kotlin

By : Chandra Sekhar Nayak, Rivu Chakraborty
Book Image

Hands-On Data Structures and Algorithms with Kotlin

By: Chandra Sekhar Nayak, Rivu Chakraborty

Overview of this book

Data structures and algorithms are more than just theoretical concepts. They help you become familiar with computational methods for solving problems and writing logical code. Equipped with this knowledge, you can write efficient programs that run faster and use less memory. Hands-On Data Structures and Algorithms with Kotlin book starts with the basics of algorithms and data structures, helping you get to grips with the fundamentals and measure complexity. You'll then move on to exploring the basics of functional programming while getting used to thinking recursively. Packed with plenty of examples along the way, this book will help you grasp each concept easily. In addition to this, you'll get a clear understanding of how the data structures in Kotlin's collection framework work internally. By the end of this book, you will be able to apply the theory of data structures and algorithms to work out real-world problems.
Table of Contents (16 chapters)
Free Chapter
Section 1: Getting Started with Data Structures
Section 2: Efficient Grouping of Data with Various Data Structures
Section 3: Algorithms and Efficiency
Section 4: Modern and Advanced Data Structures

Introduction to Functional Programming

In this chapter, you will learn about another programming paradigm, called functional programming (FP), and the data structures associated with it.

Up until this chapter, you've learned about various data structures and collections frameworks. This book is about data structures and algorithms, so why a chapter on functional programming? The reason is quite simple; although Kotlin is not a pure functional language, it provides out-of-the-box support for functional programming, and functional programming requires a number of new data structures. We want you to be familiar with them, as well.

In this chapter, we will cover the following topics:

  • Introducing functional programming
  • Immutability
  • Exploring pure functions and their side effects
  • Lambda and higher-order functions
  • Functional data structures
  • Introducing category theory