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
Section 1: Introduction to Data Structures and Algorithms and the Go Language
Section 2: Basic Data Structures and Algorithms using Go
Section 3: Advanced Data Structures and Algorithms using Go


This chapter covered the definition of abstract datatypes, classifying data structures into linear, nonlinear, homogeneous, heterogeneous, and dynamic types. Abstract datatypes such as container, list, set, map, graph, stack, and queue were presented in this chapter. The chapter covered the performance analysis of data structures and structural design patterns.

We looked at the classification of data structures and structural design patterns. You can use algorithms such as brute force, divide and conquer, and backtracking by calculating the complexity and performance analysis. The choice of algorithm and the use of design patterns and data structures are the key takeaways.

In the next chapter, we will discuss data structures in Go. The following data structures will be covered:

  • Arrays
  • Slices
  • Two-dimensional slices
  • Maps