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.

Title Page

Copyright and Credits

Copyright and Credits

Mastering Go Second Edition

About Packt

Contributors

About the author

About the reviewer

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Go and the Operating System

Go and the Operating System

The history of Go

Where is Go going?

The advantages of Go

Compiling Go code

Executing Go code

Downloading Go packages

UNIX stdin, stdout, and stderr

About printing output

Using standard output

Getting user input

About error output

Writing to log files

Error handling in Go

Exercises and links

Understanding Go Internals

Understanding Go Internals

The Go compiler

Garbage collection

Calling C code from Go

Calling Go functions from C code

The defer keyword

Panic and recover

Two handy UNIX utilities

Your Go environment

The go env command

The Go assembler

Finding out more about go build

Creating WebAssembly code

General Go coding advice

Exercises and links

Working with Basic Go Data Types

Working with Basic Go Data Types

Numeric data types

Times and dates

Measuring execution time

Web links and exercises

The Uses of Composite Types

The Uses of Composite Types

About composite types

Regular expressions and pattern matching

The switch statement

Calculating Pi with high accuracy

Developing a key-value store in Go

Go and the JSON format

Go and the YAML format

Additional resources

Exercises and web links

How to Enhance Go Code with Data Structures

How to Enhance Go Code with Data Structures

About graphs and nodes

Algorithm complexity

Binary trees in Go

Hash tables in Go

Linked lists in Go

Doubly linked lists in Go

The container package

Generating random numbers

Generating secure random numbers

Performing matrix calculations

Solving Sudoku puzzles

Additional resources

What You Might Not Know About Go Packages and Functions

What You Might Not Know About Go Packages and Functions

About Go packages

About Go functions

Developing your own Go packages

Creating good Go packages

The syscall package

The go/scanner, go/parser, and go/token packages

Text and HTML templates

Additional resources

Reflection and Interfaces for All Seasons

Reflection and Interfaces for All Seasons

Writing your own interfaces

Object-oriented programming in Go

An introduction to git and GitHub

Debugging with Delve

Additional resources

Telling a UNIX System What to Do

Telling a UNIX System What to Do

About UNIX processes

The flag package

The viper package

The cobra package

The io.Reader and io.Writer Interfaces

The bufio package

Reading text files

Reading a specific amount of data

The advantages of binary formats

Reading CSV files

Writing to a file

Loading and saving data on disk

The strings package revisited

About the bytes package

File permissions

Handling UNIX signals

Programming UNIX pipes in Go

About syscall.PtraceRegs

Tracing system calls

User ID and group ID

The Docker API and Go

Additional resources

Concurrency in Go – Goroutines, Channels, and Pipelines

Concurrency in Go – Goroutines, Channels, and Pipelines

About processes, threads, and goroutines

Waiting for your goroutines to finish

Race conditions

Comparing Go and Rust concurrency models

Comparing Go and Erlang concurrency models

Additional resources

Concurrency in Go – Advanced Topics

Concurrency in Go – Advanced Topics

The Go scheduler revisited

The select keyword

Timing out a goroutine

Go channels revisited

Shared memory and shared variables

Revisiting the go statement

Catching race conditions

The context package

Additional resources

Code Testing, Optimization, and Profiling

Code Testing, Optimization, and Profiling

About optimization

Optimizing Go code

Profiling Go code

The go tool trace utility

Testing Go code

Testing an HTTP server with a database backend

Benchmarking Go code

A simple benchmarking example

Benchmarking buffered writing

Finding unreachable Go code

Cross-compilation

Creating example functions

From Go code to machine code

Generating documentation

Using Docker images

Additional resources

The Foundations of Network Programming in Go

The Foundations of Network Programming in Go

About net/http, net, and http.RoundTripper

About IPv4 and IPv6

The nc(1) command-line utility

Reading the configuration of network interfaces

Performing DNS lookups

Creating a web server in Go

Creating a web client in Go

Timing out HTTP connections

The Wireshark and tshark tools

Additional resources

Network Programming – Building Your Own Servers and Clients

Network Programming – Building Your Own Servers and Clients

Working with HTTPS traffic

The net standard Go package

Developing a UDP server

A concurrent TCP server

Creating a Docker image for a Go TCP/IP server

Remote Procedure Call (RPC)

Doing low-level network programming

Additional resources

Machine Learning in Go

Machine Learning in Go

Calculating simple statistical properties

Anomaly detection

Neural networks

Outlier analysis

Working with TensorFlow

Talking to Kafka

Additional resources

Where to go next?

Other Books You May Enjoy

Other Books You May Enjoy

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Additional resources

Have a look at the following resources:

You can learn more about Kafka by visiting https://kafka.apache.org/.
You can learn more about TensorFlow at https://www.tensorflow.org/.
Lenses is a great product for working with Kafka and Kafka records. You can learn more about Lenses at https://lenses.io/.
You can find the documentation page of the Go TensorFlow package at https://godoc.org/github.com/tensorflow/tensorflow/tensorflow/go.
You can learn more about the Iris dataset at https://archive.ics.uci.edu/ml/datasets/iris.
Have a look at https://machinebox.io/, which is machine learning software for people without a science degree, is free for developers, and works using Docker images.
The documentation page for the Anomalyzer Go package can be found at https://github.com/lytics/anomalyzer.