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Mastering Go

Mastering Go

By : Mihalis Tsoukalos
4.8 (27)
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Mastering Go

Mastering Go

4.8 (27)
By: Mihalis Tsoukalos

Overview of this book

Mastering Go, now in its fourth edition, remains the go-to resource for real-world Go development. This comprehensive guide delves into advanced Go concepts, including RESTful servers, and Go memory management. This edition brings new chapters on Go Generics and fuzzy Testing, and an enriched exploration of efficiency and performance. As you work your way through the chapters, you will gain confidence and a deep understanding of advanced Go topics, including concurrency and the operation of the Garbage Collector, using Go with Docker, writing powerful command-line utilities, working with JavaScript Object Notation (JSON) data, and interacting with databases. You will be engaged in real-world exercises, build network servers, and develop robust command-line utilities. With in-depth chapters on RESTful services, the WebSocket protocol, and Go internals, you are going to master Go's nuances, optimization, and observability. You will also elevate your skills in efficiency, performance, and advanced testing. With the help of Mastering Go, you will become an expert Go programmer by building Go systems and implementing advanced Go techniques in your projects.
Table of Contents (19 chapters)
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16
Other Books You May Enjoy
17
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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