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

Operations in Map

Just as an index is used for operations with respect to data structures such as Array or Vector, key is used for operations with regard to Maps.

The following table explains the API differences between these two data structures:

 Operation Array or Vector Map Insertion add(index: Int) put(key: K, value: V) Deletion remove(index: Int): E remove(key: K): V Fetch get(index: Int): E get(key: K): V Updation set(index: Int) replace(key: K, value: V)

As all operations of use a key, Map cannot follow a single rule for any operation, as keys can be of the Any type and can represent anything. For example, a key can be an Integer, a String, or a User. This will make all the operations perform slower, as Map can't address any entry directly. For example—in the case of Array or Vector, any operation is done using the direct...