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

Optimizing Go code

As mentioned, code optimization is the process where you try to discover the parts of your code that have a big impact on the performance of the entire program in order to make them run faster or use fewer resources.

The benchmarking section that appears later in this chapter will greatly help you to understand what is going on with your code behind the scenes and which parameters of your program have the greatest impact on the performance of your program. However, do not underestimate the importance of common sense. Put simply, if one of your functions is executed 10,000 times more than the rest of the functions of a program, try to optimize that function first.

The general advice for optimization is that you must optimize bug-free code only. This means that you must optimize working code only. Therefore, you should first try to write correct code even if that...