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] Slices build on the capabilities of arrays with their point of difference being that they are resizable which means you can expand and contract them at runtime. In fact because of this additional flexibility, you will more likely see slices being used and implemented than arrays. Declaring a slice can be performed one of three ways.
The first way is to declare a slice in very much the same way as you would an array with the exception being omitting the size as can be seen on line seven.
The second way to declare a slice is to do so by taking a slice of another array or slice as shown on line eight.
The third and final way to declare a slice is to do so by using the make function. The make function takes three input parameters, the type of the slice, the length of the slice, and the capacity of the slice. This is demonstrated on line nine. Line 16 resizes slice3 by reassigning it to a slice of slice1. Line 21 demonstrates how to use the append function to add additional elements to slice1. Line 24 demonstrates how to do the same thing, but where a slice literal is passed in as the second argument to the append function and instructed to be unpacked using the three ellipses. Lines 27 and 28 show how to use the copy function to copy one slice into another. Running this example produces the following output.
In summary, you've just observed that slices build on the capabilities of arrays with their main point of difference being that they are resizable, that it is more likely to see slices in Go source code than it is to see arrays, and that there are three different ways in which slices can be created.
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.