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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

Exercises

  • Write a Go program that converts an existing array into a map.
  • Write a Go program that converts an existing map into two slices—the first slice containing the keys of the map whereas the second one containing the values. The values at index n of the two slices should correspond to a key and value pair that can be found in the original map.
  • Make the necessary changes to nameSurRE.go to be able to process multiple command line arguments.
  • Change the code of intRE.go to process multiple command line arguments and display totals of true and false results at the end.
  • Make changes to csvData.go to separate the fields of a record based on the # character.
  • To understand how difficult regular expressions might end up, look on the internet for a regular expression to match email addresses.
  • The regexp package includes the MatchString() method. Try to understand its main difference from the Match method and create a working example.
  • ...
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Mastering Go – Third Edition
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