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

Complexity and performance analysis

The efficiency of an algorithm is measured through various parameters, such as CPU time, memory, disk, and network. The complexity is how the algorithm scales when the number of input parameters increases. Performance is a measure of time, space, memory, and other parameters. Algorithms are compared by their processing time and resource consumption. Complexity measures the parameters and is represented by the Big O notation.

Complexity analysis of algorithms

The complexity of an algorithm is measured by the speed of the algorithm. Typically, the algorithm will perform differently based on processor speed, disk speed, memory, and other hardware parameters. Hence, asymptotical complexity is...