Mastering Go: Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures, 2nd Edition

Dive deep into the Go language and become an expert Go developer

Key Features

• Second edition of the bestselling guide to advanced Go programming, expanded to cover machine learning, more Go packages and a range of modern development techniques
• Completes the Go developer's education with real-world guides to building high-performance production systems
• Packed with practical examples and patterns to apply to your own development work
• Clearly explains Go nuances and features to remove the frustration from Go development

Book Description

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.

What you will learn

• Clear guidance on using Go for production systems
• Detailed explanations of how Go internals work, the design choices behind the language, and how to optimize your Go code
• A full guide to all Go data types, composite types, and data structures
• Master packages, reflection, and interfaces for effective Go programming
• Build high-performance systems networking code, including server and client-side applications
• Interface with other systems using WebAssembly, JSON, and gRPC
• Write reliable, high-performance concurrent code
• Build machine learning systems in Go, from simple statistical regression to complex neural networks

Who this book is for

Mastering Go, Second Edition is for Go programmers who already know the language basics, and want to become expert Go practitioners.

Table of Contents

1. Go and the Operating System
2. Understanding Go Internals
3. Working with Basic Go Data Types
4. The Uses of Composite Types
5. How to Enhance Go Code with Data Structures
6. What You Might Not Know About Go Packages and functions
7. Reflection and Interfaces for All Seasons
8. Telling a Unix System What to Do
9. Concurrency in Go: Goroutines, Channels, and Pipelines
10. Concurrency in Go: Advanced Topics
11. Code Testing, Optimization, and Profiling
12. The Foundations of Network Programming in Go
13. Network Programming: Building Your Own Servers and Clients
14. Machine Learning in Go

Mihalis Tsoukalos is an accomplished author. His previous books, Go Systems Programming and Mastering Go, have become a must-read for the Unix and Linux systems professionals. When not writing books, he spends his working life as a Unix administrator, programmer, DBA, and mathematician who enjoys writing technical articles and learning new technologies. His research interests include programming languages, visualization, and databases. He holds a BSc in Mathematics from the University of Patras and an MSc in IT from University College London, UK. He has written various technical articles for Sys Admin, MacTech, C/C++ Users Journal, Linux Journal, Linux User and Developer, Linux Format, and Linux Voice.