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  • Book Overview & Buying Mastering Go
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Mastering Go

Mastering Go - Fourth Edition

By : Mihalis Tsoukalos
4.7 (28)
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Mastering Go

Mastering Go

4.7 (28)
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

Benchmarking code

Benchmarking measures the performance of a function or a program, allowing you to compare different implementations and understand the performance impact of code changes. Using that information, you can easily reveal the part of the code that needs to be rewritten to improve its performance. It goes without saying that you should not benchmark Go code on a busy machine that is currently being used for other, more important, purposes unless you have a very good reason to do so! Otherwise, you might interfere with the benchmarking process and get inaccurate results, but most importantly, you might generate performance issues on the machine.

Most of the time, the load of the operating system plays a key role in the performance of your code. Let me tell you a story here: a Java utility I developed for a project performs lots of computations and finishes in 6,242 seconds (roughly 1.7 hours) when running on its own. It took about a day for four instances of the same...

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Mastering Go
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