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  • Book Overview & Buying Mastering Go
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Mastering Go

Mastering Go - Third Edition

By : Mihalis Tsoukalos
4.6 (16)
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Mastering Go

Mastering Go

4.6 (16)
By: Mihalis Tsoukalos

Overview of this book

Mastering Go is the essential guide to putting Go to work on real production systems. This freshly updated third edition includes topics like creating RESTful servers and clients, understanding Go generics, and developing gRPC servers and clients. Mastering Go was written for programmers who want to explore the capabilities of Go in practice. As you work your way through the chapters, you’ll gain confidence and a deep understanding of advanced Go concepts, including concurrency and the operation of the Go Garbage Collector, using Go with Docker, writing powerful command-line utilities, working with JavaScript Object Notation (JSON) data, and interacting with databases. You’ll also improve your understanding of Go internals to optimize Go code and use data types and data structures in new and unexpected ways. This essential Go programming book will also take you through the nuances and idioms of Go with exercises and resources to fully embed your newly acquired knowledge. With the help of Mastering Go, you’ll become an expert Go programmer by building Go systems and implementing advanced Go techniques in your projects.
Table of Contents (17 chapters)
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14
Other Books You May Enjoy
15
Index

Reflection and Interfaces

Do you remember the phone book application from the previous chapter? You might wonder what happens if you want to sort user-defined data structures, such as phone book records, based on your own criteria, such as a surname or first name. What happens when you want to sort different datasets that share some common behavior without having to implement sorting from scratch for each one of the different data types using multiple functions? Now imagine that you have a utility like the phone book application that can process two different formats of CSV data files based on the given input file. Each kind of CSV record is stored in a different Go structure, which means that each kind of CSV record might be sorted differently. How do you implement that without having to write two different command-line utilities? Lastly, imagine that you want to write a utility that sorts really unusual data. For example, imagine that you want to sort a slice that holds various...

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Mastering Go
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