Golang
GoLang was reportedly conceived by developers at Google when they were waiting for the code compilation to complete in a project.
GoLang incorporates three sought-after capabilities, namely, ease of coding, efficient code-compilation and efficient execution.
Go or GoLang, as it is called, is a robust system-level language used for programming across large-scale network servers and big distributed systems.
Golang emerged as an alternative to C++ and Java for the app developers in the context of what Google needed for its network servers and distributed systems.
The language was created to do away with the lack of pace and difficulties involved with programming for large and scalable servers and software systems.
To be precise, at Google, Go came to offer the following solutions.
- Fast-paving compilation and execution
- Do away with the need of working with different subsets of languages for one project.
- A boost to code readability and documentation
- Offering a thoroughly consistent language
- Facilitating easy versioning of the program
- Allowing developing with multiple languages
- Allowing easier maintenance of dependencies
Easy Learning Curve
One of the most significant positive aspects of Go is its lower learning curve.
You shouldn’t be surprised if we say that all the features of GoLang can be learned just at one sitting of a few hours.
Obviously, after learning these core features, you need to learn the best programming practices for specific needs and the standard library. But at least to begin with the language a two to three-hour sitting can be enough.
GoLang is also widely acclaimed for its easy and clear documentation.
Inbuilt Framework for Testing and Profiling
When building an application with JavaScript many of us experienced the complexities of choosing a testing framework through a series of analysis. It is also a fact that most of the times we fail to utilise more than 20% of the chosen framework. The same difficulty arises when you need good profiling for evaluation.
Go offers inbuilt testing and profiling tool to help you test the application easily and efficiently. The tool can be utilised for all types of testing and profiling needs apart from providing ready to execute examples of code.
Unmatched Simplicity of Go
Simplicity is one of the core advantages of embracing Go.
Being a highly sophisticated language with rich feature set Go stands taller among the equals simply because of the simplicity and straightforward approach.
- No Generics: Generics or templates which remained a mainstay for various programming languages often add to the obscurity and difficulties of understanding. Go designers by deciding to go without it made things simple.
- Single Executable: GoLang comes without any separate runtime library. It can produce a single executable code that can be deployed by just copying. This helps in removing all the concerns of committing mistakes on dependencies or versions mismatch.
- No Dynamic Libraries: Go just decided to do away with any dynamic library to keep the language simple and straightforward. Although, in the Go 1.10 version the developers are given the option to upload dynamic libraries through plug-in packages. This has just been included only as an extended capability.
Multithreading And Concurrency
As hardware continues to get sophisticated over time, the manufacturers keep on adding cores to the system to ensure better performance. When handling such an increasing number of cores the system needs to maintain database connections through microservices, manage the queues and maintain caches.
A vast majority of programming languages lack concurrent execution when working with multiple threads and so, they often slow down the pace of programming, compiling and execution. This is where Go comes as the most viable option to support multi-threading environment and concurrency both.
Go as a language was conceived at a time when multi-core processors became widely available across sophisticated hardware. Naturally, the creators of Go gave particular focus on the concurrency.
Go works with goroutines and not threads and this allows this language to concurrently handle a huge number of tasks at one go.