Hands-On Data Structures and Algorithms with Kotlin: Level up your programming skills by understanding how Kotlin's data structure works
Understand and solve complex computational problems and write efficient code with Kotlin


• Learn about important data structures such as lists, arrays, queues, and stacks

• Design custom algorithms for real-life implementations

• Identify suitable tools for different scenarios and deliver immediate results

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.


• 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

If you're a Kotlin developer who wants to learn the intricacies of implementing data structures and algorithms for scalable application development, this book is for you.

1130767750
Hands-On Data Structures and Algorithms with Kotlin: Level up your programming skills by understanding how Kotlin's data structure works
Understand and solve complex computational problems and write efficient code with Kotlin


• Learn about important data structures such as lists, arrays, queues, and stacks

• Design custom algorithms for real-life implementations

• Identify suitable tools for different scenarios and deliver immediate results

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.


• 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

If you're a Kotlin developer who wants to learn the intricacies of implementing data structures and algorithms for scalable application development, this book is for you.

26.99 In Stock
Hands-On Data Structures and Algorithms with Kotlin: Level up your programming skills by understanding how Kotlin's data structure works

Hands-On Data Structures and Algorithms with Kotlin: Level up your programming skills by understanding how Kotlin's data structure works

Hands-On Data Structures and Algorithms with Kotlin: Level up your programming skills by understanding how Kotlin's data structure works

Hands-On Data Structures and Algorithms with Kotlin: Level up your programming skills by understanding how Kotlin's data structure works

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$26.99 

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Overview

Understand and solve complex computational problems and write efficient code with Kotlin


• Learn about important data structures such as lists, arrays, queues, and stacks

• Design custom algorithms for real-life implementations

• Identify suitable tools for different scenarios and deliver immediate results

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.


• 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

If you're a Kotlin developer who wants to learn the intricacies of implementing data structures and algorithms for scalable application development, this book is for you.


Product Details

ISBN-13: 9781788998819
Publisher: Packt Publishing
Publication date: 02/28/2019
Sold by: Barnes & Noble
Format: eBook
Pages: 220
File size: 2 MB

About the Author

Chandra Sekhar Nayak is an experienced Java Developer with an extensive knowledge in Android development. He has done a lot of Android applications with larger user base. He is an active member of communities around Java and Android. Being a Kotlin enthusiast, he also created a Kotlin User Group in Bengaluru, India called BlrKotlin. He runs a YouTube channel called Chanse Code. In his spare time he loves writing blogs.


Rivu Chakraborty is a Google Certified Android Developer, Caster.io Instructor and a Kotlin Evangelist. With over 6 years of work experience; he is currently working as a Sr. Software Engineer (Android) at BYJU'S The Learning App.
Rivu considers himself a Kotlin and Android enthusiast, cum evangelist. He has been using Kotlin since December 2015. Rivu created the KotlinKolkata User Group and before moving out to Bangalore, he had been the lead organiser for both Kotlin Kolkata User Group and GDG Kolkata.
Along with organising events, he also speaks at events/conferences in India, including DroidJam India (India's premiere Android Conference) and a couple of DevFests.
Rivu has authored multiple books on Kotlin and Android Development.

Table of Contents

Table of Contents
  1. A Walk Through Data Structures and Algorithms
  2. Arrays – First step to Grouping Data
  3. Introducing Linked Lists
  4. Understanding Stacks and Queues
  5. Maps - Working with Key-Value Pairs
  6. Deep-Dive into Searching Algorithms
  7. Understanding Sorting Algorithms
  8. Collections and Data Operations in Kotlin
  9. Introduction to Functional Programming
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