Book Image

Learn Data Structures and Algorithms with Golang

By : Bhagvan Kommadi
Book Image

Learn Data Structures and Algorithms with Golang

By: Bhagvan Kommadi

Overview of this book

Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer.
Table of Contents (16 chapters)
Free Chapter
1
Section 1: Introduction to Data Structures and Algorithms and the Go Language
4
Section 2: Basic Data Structures and Algorithms using Go
11
Section 3: Advanced Data Structures and Algorithms using Go

Dynamic Data Structures

A dynamic data structure is a set of elements in memory that has the adaptability to expand or shrink. This ability empowers a software engineer to control precisely how much memory is used. Dynamic data structures are used for handling generic data in a key-value store. They can be used in distributed caching and storage management. Dynamic data structures are valuable in many circumstances in which dynamic addition or deletion of elements occur. They are comparable in capacity to a smaller relational database or an in-memory database. These data structures are used in marketing and customer relationship management applications. Dictionaries, TreeSets, and sequences are examples of dynamic data structures.

In this chapter, we will explain what dictionaries, TreeSets, and sequences are and show you how they are implemented with the help of code examples...