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

Performing matrix calculations

A matrix is an array with two dimensions. The easiest way to represent a matrix in Go is using a slice. However, if you know the dimensions of your array in advance, an array will also do the job just fine. If both dimensions of a matrix are the same, then the matrix is called a square matrix.

There are some rules that can tell you whether you can perform a calculation between two matrices or not. The rules are the following:

  • In order to add or subtract two matrices, they should have exactly the same dimensions.
  • In order to multiply matrix A with matrix B, the number of columns of matrix A should be equal to the number of rows of matrix B. Otherwise, the multiplication of matrices A and B is impossible.
  • In order to divide matrix A with matrix B, two conditions must be met. Firstly, you will need to be able to calculate the inverse of matrix B and...