#### 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.
Preface
Free Chapter
Section 1: Introduction to Data Structures and Algorithms and the Go Language
Data Structures and Algorithms
Getting Started with Go for Data Structures and Algorithms
Section 2: Basic Data Structures and Algorithms using Go
Linear Data Structures
Non-Linear Data Structures
Homogeneous Data Structures
Heterogeneous Data Structures
Dynamic Data Structures
Classic Algorithms
Section 3: Advanced Data Structures and Algorithms using Go
Network and Sparse Matrix Representation
Memory Management
Next Steps
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# Sets

A Set is a linear data structure that has a collection of values that are not repeated. A set can store unique values without any particular order. In the real world, sets can be used to collect all tags for blog posts and conversation participants in a chat. The data can be of Boolean, integer, float, characters, and other types. Static sets allow only query operations, which means operations related to querying the elements. Dynamic and mutable sets allow for the insertion and deletion of elements. Algebraic operations such as union, intersection, difference, and subset can be defined on the sets. The following example shows the Set integer with a map integer key and bool as a value:

`//main package has examples shown// in Hands-On Data Structures and algorithms with Go bookpackage main// importing fmt packageimport ( "fmt")//Set classtype Set struct { integerMap...`