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
1
Section 1: Getting Started with Data Structures
4
Section 2: Efficient Grouping of Data with Various Data Structures
8
Section 3: Algorithms and Efficiency
11
Section 4: Modern and Advanced Data Structures
15
Assessments

Section 1: Getting Started with Data Structures

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