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.
Preface
Free Chapter
Section 1: Getting Started with Data Structures
A Walk Through - Data Structures and Algorithms
Arrays - First Step to Grouping Data
Section 2: Efficient Grouping of Data with Various Data Structures
Understanding Stacks and Queues
Maps - Working with Key-Value Pairs
Section 3: Algorithms and Efficiency
Deep-Dive into Searching Algorithms
Understanding Sorting Algorithms
Section 4: Modern and Advanced Data Structures
Collections and Data Operations in Kotlin
Introduction to Functional Programming
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Assessments

Understanding data operations in collections

The Kotlin collections framework is full of interesting features that make it stand apart from the collections frameworks in other languages, such as Java. You already been introduced to some of those features, such as separate interfaces for read-only and mutable collections, square box operator, such as arrays, and so on. What I'm going to introduce now is probably the most interesting feature of the Kotlin collections framework—data operation (extension) functions.

Kotlin supports data operation (extension) functions for all of its collections framework interfaces. Now, what are data operation functions? They are extension functions by which we can access/process or operate on data from a collection. If you are familiar with the ReactiveX framework (for example, RxJava or RxKotlin) or any of the Reactive streams framework...