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Key benefits

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

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

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Steven Klassen Oct 31, 2019

Keeping a programming language in your head isn't easy. It's easier with Go than most because, well, the Go team wanted it that way, but still, I love a reference. The sections in this book are clear, concise, and something I can easily skim through to refresh on a topic before I have to dive into some code. I was working with a colleague and we needed to implement a buffered channel for something and I wanted to go through the thinking from locks, to unbuffered channels, to buffered channels and we were able to get through it easily.

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Robert Solomon Dec 16, 2019

I've been using Go for the last 3 years or so, for my own programming needs at the command line. I learned quite a lot from this book.There have been a few changes in Go since I first learned it. A strong point for me is that Mastering Go, 2nd ed, explains these new features, and I needed that.The book is current up to Go 1.13.It uses a plain, conversational style which I find helpful.It covers the basics of the language, as one would expect. Oddly, it introduces advanced topics before discussing more basic topics on which the advanced subjects depend.This is why I would not recommend this book as a first book on Go.From this book, I learned about go modules and vendoring, the non-core packages of cobra and viper, and more detail on network coding and writing web clients and servers.I also appreciated its coverage of background topics, like more details on the garbage collector and web assembly. I don't use docker, but I was interested in the detailed instructions if I would ever decide to use it.All the examples in the book were primarily written and tested using macOS, and secondarily tested on a debian linux system. It does not specifically address Windows, and that is a weakness.Overall, however, I'm very glad I read this.

Cory J. Lanou Oct 01, 2019

Before I tell you about this book, I think it's important to disclose that I do Go training for a living. This means that I'm constantly writing material on Go and presenting it to developers of all levels. One of the fundamental mistakes that many books make is assuming the reader knows more background about a specific topic than they necessarily do.This book, however, does not make those assumptions. In ever chapter, before even talking about code, it lays out the terminology and concepts that will play a factor in the code that is about to be written. It also builds on one topic at a time, so that you can see the effect that each piece of code makes as you add new features.This book will take you from the fundamentals of Go through some of the most advanced topics, such as concurrency, optimization, and profiling. When you finish this book, you will have a very strong grasp of not only the Go programming language, but the Go ecosystem, tooling, and style that will ensure you write robust, maintainable code.

Amazon Customer Jun 25, 2020

Perfect golang tutorial for beginners and professionals.

cd Dec 22, 2019

I have just started reading Mastering Go, 2nd edition. The book contains many useful examples that can help someone learn Go and write Go code as well. What I find really handy is that it contains the required theory to understand the why of topics such Go data types, data structures, the Go Garbage Collector and the Go Scheduler.Overall, a great book.

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

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