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

Generating random numbers

Random number generation is an art as well as a research area in computer science. This is because computers are purely logical machines, and it turns out that using them to generate random numbers is extremely difficult!

Go uses the math/rand package for generating pseudo-random numbers. It needs a seed to start producing the numbers. The seed is used for initializing the entire process, and it is extremely important because if you always start with the same seed, you will always get the same sequence of pseudo-random numbers. This means that everybody can regenerate that sequence, and that particular sequence will not be random after all.

The name of the utility that will help us to generate pseudo-random numbers is randomNumbers.go, and it will be presented in four parts. The utility takes various parameters, which are the lower and upper limits of...