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

Code Testing, Optimization, and Profiling

The previous chapter discussed concurrency in Go, mutexes, the atomic package, the various types of channels, race conditions, and how the select statement allows you to use channels as glue to control goroutines and allow them to communicate.

The Go topics in this chapter are very practical and important, especially if you are interested in improving the performance of your Go programs and discovering bugs quickly. This chapter primarily addresses code optimization, code testing, code documentation, and code profiling.

Code optimization is a process where one or more developers try to make certain parts of a program run faster, be more efficient, or use fewer resources. Put simply, code optimization is about eliminating the bottlenecks of a program.

Code testing is about making sure that your code does what you want it to do. In this chapter...