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  • Book Overview & Buying Mastering Go – Third Edition
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Mastering Go – Third Edition

Mastering Go – Third Edition - Third Edition

By : Mihalis Tsoukalos
4.6 (16)
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Mastering Go – Third Edition

Mastering Go – Third Edition

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

Composite Data Types

Go offers support for maps and structures, which are composite data types and the main subject of this chapter. The reason that we present them separately from arrays and slices is that both maps and structures are more flexible and powerful than arrays and slices. Each map can use keys of a given predefined data type, whereas structures can group multiple data types and create new data types.

Maps and slices are used for completely different reasons. Arrays and slices are used to store contiguous data and benefit from memory locality and indexing. Maps are useful when you do not need the locality of data but still need a way to reference it in constant time.

The general idea is that if an array or a slice cannot do the job, you might need to look at maps. If a map cannot help you store your data the way you want, then you should consider creating and using a structure—you can also group structures of the same type using arrays or slices. Keep in...

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Mastering Go – Third Edition
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