Go Fundamentals (Addison-Wesley)
Monday, 03 July 2023

This book is designed to help developers get up-to-speed in Go fast, to make use of existing knowledge of other languages, and to help developers avoid common mistakes made by Go newcomers. Based on author Mark Bates's and Cory LaNou's Gopher Guides training curricula, this book will allow readers to quickly understand and use Go syntax, core features, and idioms.

<ASIN:0137918305 >

Reflecting Go through version 1.18, and including Go's new support for generics, this book prepares you to write robust, reliable, well-performing production code right from the outset.
 

Author: Mark Bates and Cory LaNou
Publisher: Addison-Wesley
Date: December 2022
Pages: 576
ISBN: 978-0137918300
Print: 0137918305
Kindle: B0B66PL585
Audience: Developers interested in learning Go
Level: Intermediate
Category: Other Languages

Topics covered:

  • Learn how Go manages packages, modules, and dependencies
  • Apply Go basics, such as variable declaration, types, and control flow
  • Work effectively with collection types, iteration, functions, structs, and pointers
  • Understand Go Slices and use them properly
  • Write idiomatic Go, using principles such as embedding and composition
  • Expertly use concurrency to improve code performance
  • Create proper tests to quickly identify and fix problems
  • Write simpler, better code with generics and interfaces
  • Take advantage of channels, context, sync primatives, and other advanced features

For recommendations of Go books see Top Titles For Go Programmers in our Programmer's Bookshelf section.

 

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Pro Database Migration to Azure

Author: Kevin Kline et al
Publisher: Apress
Pages: 352
ISBN: 978-1484282298
Print: 1484282299
Kindle: B0B924H21P
Audience: Managers & architects
Rating: 4
Reviewer: Ian Stirk

This book aims to give you a holistic approach to migrating on-premise databases to Azure, how does it fare?



Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

Another AI/ML book - is there room for another one?


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