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

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

作者
Mihalis Tsoukalos
语言
英语
出版社
Packt Publishing 版次:2
出版日期
2019年8月29日
纸书页数
798页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
5047 KB
下载次数
7908
更新日期
2023-06-09
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

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

Go and the Operating System

Understanding Go Internals

Working with Basic Go Data Types

The Uses of Composite Types

How to Enhance Go Code with Data Structures

What You Might Not Know About Go Packages and functions

Reflection and Interfaces for All Seasons

Telling a Unix System What to Do

Concurrency in Go: Goroutines, Channels, and Pipelines

Concurrency in Go: Advanced Topics

Code Testing, Optimization, and Profiling

The Foundations of Network Programming in Go

Network Programming: Building Your Own Servers and Clients

Machine Learning in Go

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