Mastering Go: Create Golang production applications using network libraries,concurrency,machine learning,and advanced data structures,2nd Edition
Authors: Mihalis Tsoukalos
ISBN-10: 1838559337
ISBN-13: 9781838559335
Publication Date 出版日期: 2019-08-29
Print Length 页数: 798 pages
Publisher finelybook 出版社: Packt
Book Description
By finelybook
Dive deep into the Go language and become an expert Go developer
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
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
