The Golang programming language was developed by Google back in 2009, but only began to rapidly gain popularity in recent years. The team of Boosty Labs company which specializes in Golang development outsourcing and Solidity development outsourcing,
has covered some important features of Go in the material that is available even to those who have no experience with Go.
GoDoc is a static analysis tool that automatically generates documentation from code. Unlike JavaDoc, PHPDoc, or JSDoc, what is remarkable about GoDoc is that the tool uses exclusively English for annotation.
GoDoc extracts as much information as possible from code to structure and format your documentation. It will contain all the necessary “tricks” like cross-references, code examples and direct links to the source control repository. Any comment is automatically reflected in the documentation. You can also add snippets of code and run them directly in your browser or locally.
GoDoc is the only documentation creation tool used by the entire community: documentation for all Go libraries and applications is in the same format, which can save you a lot of time learning.
Static code analysis
A significant place in Go is devoted to static analysis. This is confirmed by tools such as godoc for generating documentation, gofmt for formatting code, golint for analyzing it and detecting possible errors, and many others. All of them are combined into a single quality control utility GoMetaLinter , which runs all code analyzers in parallel. These tools run as standalone command line applications and integrate seamlessly with any development environment.
Static code analysis is not a new thing in programming, but Go allows you to quickly and easily conduct meticulous analysis in all directions and saves a lot of time. You can easily create your own analyzers: for this there are special built-in packages for parsing and working with Go sources.
Built-in testing environment
Go has a built-in code testing tool with an emphasis on simplicity and efficiency. It offers the simplest API and contains a minimum of assertions. It can be used for testing and profiling, and you can add executable code samples.
To start testing, just run the go test command. The tool allows you to run tests in parallel, skip them, and much more.
Detecting Race Conditions
To achieve multitasking, the language uses lightweight goroutines and pipes as a means of communication between them.
One of the challenges in designing multithreaded applications is the risk of error such as race conditions. This happens when several concurrent operations are completed in a different order than expected, which can lead to a huge number of errors that are especially difficult to detect.
The authors of Go took this problem seriously as well, creating a powerful race detector that is fully integrated into the language's toolbox. You can read more about Race Detector on the Go blog.
All Go functions can be learned in one evening. There is a standard library, some libraries require special knowledge, but a couple of hours is enough to confidently write a simple HTTP server or command line application. The language has excellent documentation , and the project team has already covered most of the complex topics in their blog .
Also, Go does not have so-called generics , which somewhat deprives it of the benefits of an abstract programming approach. But many see this as a plus for Go because of the complexity that generics introduce.
Go's philosophy is not to overcomplicate code, which is common in dynamic languages. Go should stick with static types whenever possible and use interfaces when you know exactly what types are used. There are many interfaces in Go, and they have their own peculiarities.
However, in some cases it is difficult to determine the type of data that the developer is dealing with. For this there is a wonderful built-in package Reflect, which allows you to quickly determine the type of a variable while the program is running.
Go has a coding standard that everyone should adhere to. There is a single built-in test environment that is part of the toolkit. There are rules for structuring and maintaining code, choosing names, and implementing multitasking.
Although it may seem like there are too many restrictions in the language, it saves the team time in choosing tools and helps to avoid communication problems, as well as clarifies the architecture of new code and makes it easier to understand existing ones.
It is often said that when learning a new natural language, a person also immerses himself in the culture of the people who speak it. And the more languages a person learns, the more his personality changes.
The same is true for computer languages. Regardless of how a person will use a particular language in the future, he always allows you to look at programming in general from a different angle or at some specific methods, be it functional programming, pattern matching, or prototypal inheritance. Each new language expands the developer's range of approaches and tools, as well as changes his view of quality programming in general.
And Go is a valuable asset in this context. The code created on it should be simple and straightforward, without unnecessary abstractions and with an emphasis on maintainability. Go is designed to focus directly on coding and not be distracted by tooling and setting up the environment. It “should only have one way to write code.”