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Since I started writing code in Go it has been a mystery to me how best to organize my code and use the package keyword. The package keyword is similar to using a namespace in C#, however the convention is to tie the package name to the directory structure.
Go has this web page that attempts to explain how to write Go Code.http://golang.org/doc/code.htmlWhen I started programming in Go this was one of the first documents I read. This went way over my head, mainly because I have been working in Visual Studio and code is packaged for you in Solution and Project files. Working out of a directory on the file system was a crazy thought. Now I love the simplicity of it but it has taken quite a while for it all to make sense."How to Write Go Code" starts out with the concept of a Workspace. Think of this as the root directory for your project. If you were working in Visual Studio this is where the solution or project file would be located. Then from inside your Workspace you need to create a single sub-directory called src. This is mandatory if you want the Go tools to work properly. From within the src directory you have the freedom to organize your code the way you want. However you need to understand the conventions set forth by the Go team for packages and source code or you could be refactoring your code down the line.On my machine I created a Workspace called Test and the required sub-directory called src. This is the first step in creating your project.
We have taught Go to thousands of developers all around the world since 2014. There is no other company that has been doing it longer and our material has proven to help jump start developers 6 to 12 months ahead of their knowledge of Go. We know what knowledge developers need in order to be productive and efficient when writing software in Go.
Our classes are perfect for both experienced and beginning engineers. We start every class from the beginning and get very detailed about the internals, mechanics, specification, guidelines, best practices and design philosophies. We cover a lot about "if performance matters" with a focus on mechanical sympathy, data oriented design, decoupling and writing production software.
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