Learning Go Data Structures and Algorithms

Video Description

Delve into Go's powerful data structures and algorithms with some easy tricks

About This Video

  • Understand common data structures and algorithms, as well as the framework in which they are used
  • Use data structures—such as arrays, stacks, trees, lists, and graphs—with real-world examples
  • Following a practical approach, learn real and effective implementations of functional and reactive data structures

In Detail

Golang has been trending in the tech-world for the last 2 years with tremendous improvements to the language. Many developers and organizations are slowly migrating to Golang, adopting its fast, lightweight and inbuilt concurrency features. This brings the need to learn data structures and algorithms with this growing language. This video course will be your companion as it takes you through data structures and algorithms in Go, helping you get up-and-running as a confident Go programmer.

You will begin by understanding the basic Data types and Structures in Go. Moving forward, you will learn the power of linked lists and doubly linked lists in Go and then learn to implement linear data structures such as stacks and queues. Also, implement binary searches and trees and will explore sorting algorithms in detail.

From here, you will learn about graph algorithms and also be introduced to some common data structures used while working with strings. You will learn common techniques and structures used in tasks such as preprocessing, modeling, and transforming data.

By the end of this course, you would have mastered functional and reactive implementations of traditional data structures in an easy and efficient manner

All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Learning-Go-Data-Structures-and-Algorithms

Product Information

  • Title: Learning Go Data Structures and Algorithms
  • Author(s): Gustavo Chaín
  • Release date: May 2018
  • Publisher(s): Packt Publishing
  • ISBN: 9781788392563