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This section will walk you through the basics of data structures and will answer your query about why we need to learn data structures and algorithms. You will also learn about the efficiencies of algorithms and how to measure them. Yes, you read that right: Algorithms also have efficiencies, given that they are based on time complexities (execution time needed) and space complexities (memory footprints).

The following chapters will be covered in this section:

Chapter 1, A Walk-through – Data Structures and Algorithms
Chapter 2, Arrays – The First Step to Grouping Data

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

What do you get with eBook?