Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hands-On Data Structures and Algorithms with Kotlin

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

Arrow left icon
Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781788994019
Length 220 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Chandra Sekhar Nayak Chandra Sekhar Nayak
Author Profile Icon Chandra Sekhar Nayak
Chandra Sekhar Nayak
Rivu Chakraborty Rivu Chakraborty
Author Profile Icon Rivu Chakraborty
Rivu Chakraborty
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started with Data Structures FREE CHAPTER
2. A Walk Through - Data Structures and Algorithms 3. Arrays - First Step to Grouping Data 4. Section 2: Efficient Grouping of Data with Various Data Structures
5. Introducing Linked Lists 6. Understanding Stacks and Queues 7. Maps - Working with Key-Value Pairs 8. Section 3: Algorithms and Efficiency
9. Deep-Dive into Searching Algorithms 10. Understanding Sorting Algorithms 11. Section 4: Modern and Advanced Data Structures
12. Collections and Data Operations in Kotlin 13. Introduction to Functional Programming 14. Other Books You May Enjoy 15. Assessments

Introducing category theory

Category theory is basically a mathematical discipline; if you're from a mathematics background (specifically, if you're a mathematician), then you probably know what we are going to present. Category theory has a wide range of applications in theoretical computer science and in functional programming. So, first, let's provide an overview and the basic concepts of category theory.

Mathematics itself is a stream; it has many branches (or categories), such as algebra, geometry, topology, analysis, probability, logic, and so on. It is evident that these different branches of mathematics share a few common structures/patterns/trends. It becomes exceptionally useful when you have a problem in a branch and you want help from a different branch. For example, you might have a problem in geometry, and by transporting it to algebra (a different...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime