Understand and solve complex computational problems and write efficient code with Kotlin

Key Features

• Learn about important data structures such as lists, arrays, queues, and stacks
• Design custom algorithms for real-life implementations
• Identify suitable tools for different scenarios and deliver immediate results

Book Description

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.

What you will learn

• Understand the basic principles of algorithms and data structures
• Explore general-purpose data structures with arrays and linked lists
• Get to grips with the basics of stacks, queues, and double-ended queues
• Understand functional programming and related data structures
• Use performant searching and efficient sorting
• Uncover how Kotlin's collection framework functions
• Become adept at implementing different types of maps

Who this book is for

If you're a Kotlin developer who wants to learn the intricacies of implementing data structures and algorithms for scalable application development, this book is for you.

Table of Contents

1. A Walk Through Data Structures and Algorithms
2. Arrays – First step to Grouping Data
3. Introducing Linked Lists
4. Understanding Stacks and Queues
5. Maps - Working with Key-Value Pairs
6. Deep-Dive into Searching Algorithms
7. Understanding Sorting Algorithms
8. Collections and Data Operations in Kotlin
9. Introduction to Functional Programming