Book Image

Mastering Go - Second Edition

By : Mihalis Tsoukalos
Book Image

Mastering Go - Second Edition

By: Mihalis Tsoukalos

Overview of this book

Often referred to (incorrectly) as Golang, Go is the high-performance systems language of the future. Mastering Go, Second Edition helps you become a productive expert Go programmer, building and improving on the groundbreaking first edition. Mastering Go, Second Edition shows how to put Go to work on real production systems. For programmers who already know the Go language basics, this book provides examples, patterns, and clear explanations to help you deeply understand Go’s capabilities and apply them in your programming work. The book covers the nuances of Go, with in-depth guides on types and structures, packages, concurrency, network programming, compiler design, optimization, and more. Each chapter ends with exercises and resources to fully embed your new knowledge. This second edition includes a completely new chapter on machine learning in Go, guiding you from the foundation statistics techniques through simple regression and clustering to classification, neural networks, and anomaly detection. Other chapters are expanded to cover using Go with Docker and Kubernetes, Git, WebAssembly, JSON, and more. If you take the Go programming language seriously, the second edition of this book is an essential guide on expert techniques.
Table of Contents (20 chapters)
Title Page

How to Enhance Go Code with Data Structures

In the previous chapter, we discussed composite data types, which are constructed using the struct keyword, and JSON and XML processing in Go, as well as topics such as regular expressions, pattern matching, tuples, runes, strings, and the unicode and strings standard Go packages. Finally, we developed a simple key-value store in Go.

There are times, however, when the structures offered by a programming language will not fit a particular problem. In such cases, you will need to create your own data structures to store, search, and receive your data in explicit and specialized ways.

Consequently, this chapter is all about developing and using many famous data structures in Go, including binary trees, linked lists, hash tables, stacks, and queues, and learning about their advantages. As nothing describes a data structure better than an...