Go Recipes: A Problem-Solution Approach

  • 3h 25m
  • Shiju Varghese
  • Apress
  • 2016

Solve your Go problems using a problem-solution approach. Each recipe is a self-contained answer to a practical programming problem in Go. Go Recipes contains recipes that deal with the fundamentals of Go, allowing you to build simple, reliable, and efficient software. Other topics include working with data using modern NoSQL databases such as MongoDB and RethinkDB. The book provides in-depth guidance for building highly scalable backend APIs in Go for your mobile client applications and web client applications.

All this means that you’ll be able to write programs that get the most out of multicore and networked machines, using Go’s novel type system that enables flexible and modular program construction. You'll see how to test your Go applications so they are ready for deployment, as well as learning how to write HTTP servers to offer you maximum flexibility when dealing with remote clients.

What You'll Learn

  • Work with the core fundamentals of Go
  • Persist data into NoSQL databases
  • Build scalable backend APIs
  • Test your Go applications
  • Create HTTP web servers in Go

Who This Book Is For

Experienced programmers who have some or no prior experience with Go.

About the Author

Shiju Varghese is a solutions architect who specializes in cloud computing solutions and distributed web apps. His current technology focus is on Go, Google Cloud, Azure, and Docker. He has been working with Web technologies since early 2000, and has developed web apps and distributed systems in Go, C#, and Node.js. His areas of interest include cloud solutions architecture, application containers, distributed systems, RESTful microservice architecture, and mobile backend as a service. Shiju has been awarded Microsoft MVP status five times. He is a regular speaker at various technology conferences.

In this Book

  • Beginning Go
  • Go Fundamentals
  • Structs and Interfaces
  • Concurrency
  • Using Standard Library Packages
  • Data Persistence
  • Building HTTP Servers
  • Testing Go Applications

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