Mastering Go : create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures / Mihalis Tsoukalos.

Format:

Book

Author/Creator:

Tsoukalos, Mihalis, (author).

Series:

Expert insight.

Expert insight

Language:

English

Subjects (All):

Go (Computer program language).

Physical Description:

1 online resource (784 pages).

Edition:

Second edition.

Place of Publication:

Brmingham, England ; Mumbai : Packt Publishing, [2019]

Biography/History:

Tsoukalos Mihalis: Mihalis Tsoukalos holds a BSc in Mathematics from the University of Patras and an MSc in IT from University College London. His previous books Go Systems Programming and Mastering Go have become must-reads for UNIX and Linux systems professionals. He works as a UNIX systems engineer and a technical author. He enjoys writing technical articles and has written for Sys Admin, MacTech, C/C++ Users Journal, USENIX; login: , Linux Journal, Linux User and Developer, Linux Format, and Linux Voice. His research interests include time series data mining, time series indexing, and databases.

Summary:

"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." -- Publisher's description.

Contents:

Chapter 1: Go and the Operating System

Chapter 2: Understanding Go Internals

Chapter 3: Working with Basic Go Data Types

Chapter 4: The Uses of Composite Types

Chapter 5: How to Enhance Go Code with Data Structures

Chapter 6: What You Might Not Know About Go Packages and Functions

Chapter 7: Reflection and Interfaces for All Seasons

Chapter 8: Telling a UNIX System What to Do

Chapter 9: Concurrency in Go – Goroutines, Channels, and Pipelines

Chapter 10: Concurrency in Go – Advanced Topics

Chapter 11: Code Testing, Optimization, and Profiling

Chapter 12: The Foundations of Network Programming in Go

Chapter 13: Network Programming – Building Your Own Servers and Clients

Chapter 14: Machine Learning in Go.

Notes:

Includes index.

ISBN:

9781838555320

1838555323

OCLC:

1446511266