Have you ever thought about switching to a new language while working on Python? It’s one of the toughest decisions today especially when one of your team member is an expert in the current one. This decision calls for the emergency of a more sophisticated language Golang, like the one we are going to discuss here, for developing your application.
Python, since the late 1980’s has been the first love for any novice user. The simplicity and ease of using the language attracts developers like a child at a candy shop. The reason why python gained popularity just in a few years of its release was the advantages it offered for intensive agility demand.
Python Vs. Go
With its launch by Google in 2007, Go has attracted the developers all over as any other language would. It being a statically typed language, it is performs similar to Java and C++ and is 25% more faster than the latter. Though, Python and Go have many things in common, people who are well-versed with Python find it very easy working with the new language.
Being the second most used language in the world, Python has a strong community across the network and performs well for many applications. But for some reasons like horizontal scaling, processor agnostics and speed, you would certainly select Go.
Simplicity being Pythons main feature, there are also many drawbacks to this. Many communities have discovered that even though python is good for developing simple and basic program applications, using it for complicated systems and complex module can turn you off. There are also a few errors and issues that crop up during compile time.
To answer in short, Golang will certainly overpower many of the languages in future which are used today and we will discuss some solid reasons for the same:
1. Faster compile time
Since Go is itself a compiled language, it hardly takes around 6 seconds to compile your programmes. Golang consists of a replica for software construction that helps building dependencies which includes files and directories.
Comparing it with the compiler for C++. Go initiates a low-level assembly code and contains no inline functions. You will no longer need to install any dependencies on server to upload the compiled file at runtime.
2. Support for Cross Platform Compatibility
Golang supports portable standard library which compiles its native code on its decided platform. It provides support for building a version with the help of binaries which comes in extremely handy.
For example, if you have a code written in C++, the Go compiler includes libraries that has a compiler that can cross the language and target the platform. This is sometimes referred to as cross-compiling and is pretty simple to do.
3. Clear Syntax
Go offers a clean syntax that allows for a high readability, which is a big turn on to the developers using Python. Go’s structure consists of relatively small set of building blocks which offers simplicity without complexity.
With Go, you can actually achieve an outstanding speed at which a number of framework’s bind. Unlike Python, Go doesn’t expect you to dive into the development structure, instead you can now completely focus on the development only.
4. Error Handling
Go’s error handling feature is an extremely useful tool. With every error that crops up with a line of code, Go helps you with writing test codes, checking the coverage of the code results, and identify errors with ease.
We found that many errors that were effectively handled by Go, which Python failed at. On the other hand, Python required writing an exception code to the error to minimize the failure in the code.
5. Duck Typing
As the name suggests, Duck Typing is simply a concept in dynamic languages. Even with its static approach, the Golang offers you this in interface. Duck Typing is a concept where you assume that if something behaves like a duck, it’s a duck.
Similarly, suppose you write a function swim_duck, you can invoke this function with any object as long it has the swim method.
Conclusion: –
Go is an open source programming language and leads to some amazing outputs when applied to high end complex designs. The above points are some of the few basic advantages, but it has a huge array of benefits you will certainly explore while working with it.
