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  • Book Overview & Buying Hands-On Data Structures and Algorithms with Kotlin
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Hands-On Data Structures and Algorithms with Kotlin

Hands-On Data Structures and Algorithms with Kotlin

By : Nayak, Rivu Chakraborty
3 (2)
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Hands-On Data Structures and Algorithms with Kotlin

Hands-On Data Structures and Algorithms with Kotlin

3 (2)
By: Nayak, Rivu Chakraborty
Buy this Book

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)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
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1
Section 1: Getting Started with Data Structures
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Section 1: Getting Started with Data Structures
2
A Walk Through - Data Structures and Algorithms
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A Walk Through - Data Structures and Algorithms
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Technical requirements
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Learning about algorithms
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Introduction to data structures
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Complexity analysis
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Learning about notations
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Summary
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Further reading
3
Arrays - First Step to Grouping Data
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Arrays - First Step to Grouping Data
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Technical requirements
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Introduction to arrays
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Operations with arrays
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Vectors (dynamic arrays)
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The beauty of immutable arrays
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Multidimensional array
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A short introduction to strings
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Summary
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Questions
4
Section 2: Efficient Grouping of Data with Various Data Structures
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Section 2: Efficient Grouping of Data with Various Data Structures
5
Introducing Linked Lists
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Introducing Linked Lists
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Technical requirements
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Getting started with LinkedList
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Understanding a Singly Linked List
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Understanding the Doubly Linked List
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Understanding a Circular Linked List
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Summary
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Questions
6
Understanding Stacks and Queues
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Understanding Stacks and Queues
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Technical requirements
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Understanding stacks
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Operations on a stack
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Implementing stacks
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Understanding a queue
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Operations on queues
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Implementing a queue
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Introducing circular queues
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Understanding deque – double-ended queue
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Summary
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Questions
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Further reading
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Questions
7
Maps - Working with Key-Value Pairs
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Maps - Working with Key-Value Pairs
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Technical requirements
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Introducing Map
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Operations in Map
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Introducing hashing
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Implementing HashMap
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Implementing ArrayMap
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Summary
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Questions
8
Section 3: Algorithms and Efficiency
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Section 3: Algorithms and Efficiency
9
Deep-Dive into Searching Algorithms
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Deep-Dive into Searching Algorithms
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Technical requirements
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Understanding the searching algorithm
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Linear search
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Binary search
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Jump search
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Exponential search
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Pattern search
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Summary
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Questions
10
Understanding Sorting Algorithms
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Understanding Sorting Algorithms
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Technical requirements
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Understanding the bubble sort algorithm
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Understanding selection sort
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Understanding insertion sort
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Understanding merge sort
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Understanding quick sort
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Understanding heap sort
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Summary
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Questions
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Section 4: Modern and Advanced Data Structures
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Section 4: Modern and Advanced Data Structures
12
Collections and Data Operations in Kotlin
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Collections and Data Operations in Kotlin
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Technical requirements
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Introduction to collections
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Understanding a group of ordered elements – List, MutableList
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Group of unique elements – Set, MutableSet
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Maps – working with key-value pairs
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Understanding data operations in collections
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Summary
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Questions
13
Introduction to Functional Programming
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Introduction to Functional Programming
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Introducing functional programming
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Immutability
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Exploring pure functions
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Lambda and higher-order functions
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Functional data structures
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Understanding the Arrow framework and typed FP
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Introducing category theory
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Summary
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Further reading
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Other Books You May Enjoy
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Other Books You May Enjoy
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Leave a review - let other readers know what you think
15
Assessments
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Assessments

Arrays - First Step to Grouping Data

Arrays are one of the most fundamental Data Structures (DS) commonly used by almost all programmers. An array is nothing but a data structure that can store more than one value of the same data type.

By the end of this chapter, we'll understand more about arrays and the following topics:

  • Operations with arrays (in Kotlin)
  • Dynamic arrays and their operations
  • Immutable arrays
  • Multidimensional arrays and their operations
  • Strings and their related operations

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