Install and Setup
The course is part of this learning path
If you're thinking about engineering the next big dotcom application then you should seriously consider using Go!!
The Go Programming Language is without doubt one of the hottest languages to learn, particularly in this cloud native era. More and more companies are adopting Go to engineer highly performant, stable and maintainable applications. Popular projects such as Docker, Kubernetes, Terraform, Etcd, Istio, InfluxDB have all been built successfully using Go!!
This introductory level training course is designed to bring you quickly up to speed with the many key features that the Go programming language provides. You'll also learn how to setup your own Go development environment - consisting of the Go toolchain, Visual Studio Code, and several related Go based extensions - all to ensure that you are able to be productive writing your own source code.
We’d love to get your feedback on this course, so please give it a rating when you’re finished. If you have any queries or suggestions, please contact us at firstname.lastname@example.org.
By completing this course, you will:
- Learn about what makes Go a great language
- Learn how to install the Go toolchain
- Learn how to setup Visual Studio Code to edit and debug Go programs
- Learn how to work with the Go Playground to test and run snippets of Go code
- Learn and understand the basic Go language syntax and features
- Learn how to use the Go tool chain commands to compile, test, and manage Go code
- And finally, you’ll learn how to work with and manage Go modules for module dependency management
This course is intended for:
- Anyone interested in learning the Go Programming Language
- Software Developers interested in using Go to compile and test Go based applications
- DevOps practitioners looking to learn about Go to support Go based applications
To get the most from this course, you should have at least:
- A basic understanding of software development and the software development life cycle
All sample Go source code as used and demonstrated within this course can be found here:
- [Jeremy Cook] Go channels can be explicitly closed to help with synchronization issues. Closing a channel is done by invoking the built-in close function, providing it with a channels name that you want to close.
Let's quickly run this example, and then next explain its inner workings. After running it, we can see that it has printed out the following sequence of messages. Within the example displayed here, the process function is started as a go routine on line 26. The process function takes in two channels as inputs, work and fin. The work channel is used to receive messages as work to perform.
The fin channel is used to communicate that all required work has been completed or finished. The work channel receives messages that are individual characters extracted one at a time from the word string variable initialized in the main function on line 28. Within the process function, a non-terminating for loop is started. Each cycle of the loop waits until a new message arrives on the work channel. In this case, the process function is designed simply to restitch all of the individual characters received back into a single string. This is then returned when the channel is determined to have been closed, which is done on line 16, with the final result being printed out by the Printf function on line 38. This correlates with the result seen in the output at the bottom, here.
In summary, you've observed how to use the close function to close a channel, which is useful for synchronization purposes.
Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.
He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, GCP, Azure), Security, Kubernetes, and Machine Learning.
Jeremy holds professional certifications for AWS, GCP, and Kubernetes.