For the developers who works as a Freelancer or working in small IT companies, it’s very important to suggest the client/company about the best programming language suitable for any their requirement. There are many options available today for performing different requirements, So here the job of developer get a little bit challenging to suggest the best from all the available options. If we talk specifically about the backend web development, Then we have Java, Python, Node.js, Go and a few other top used programming language/framework. So here it’s very important for the developer to know about the key difference between Python, Node.js, Go, Java so that they can decide which language/framework to choose for any requirement.
In this article, We will see the key differences between Golang and Python.
Golang: Go is an open-source programming language developed by Google. The developer of Google started developing this language in 2007 and introduced to the public in 2009. It is a statically-typed compiled language. Go supports concurrent programming which allows multiple processes simultaneously
Python: Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Python is considered a scripting language, like Ruby or Perl and is often used for creating Web applications and dynamic Web content.
For any programming language, One of the important factors is its performance. While Python is not very slow for developing websites, But Golang is faster than Python. Golang is one of the best options for writing the server-side script for high performance. Golang offers quick development cycles. Performance is the key, and Golang is master of speed and performance.
Golang has better support for concurrency without using many resources whereas Python needs many resources for concurrent processes. Golang is much preferred for backend development because it can handle huge requests with high concurrency.
Scalability is the capability of an application to handle a growing amount of work, or its potential to be enlarged to accommodate that growth. While developing any application, It is also one of the important factors which should be taken in each phase of development. An application is completely useless for any business if it's not scalable. Google developed its language Golang after keeping this in mind. Golang has inbuilt support for concurrent process channeling, i.e. concurrency. Python, on the other side, has a really hard time with concurrency but can implement parallelism through threads.
Proper error handling is an essential requirement of good language. Go is statically, strongly typed programming language with a great way to handle errors. Whereas Python is a dynamic typed language, so it shows more errors at run-time
Golang is a simple, easy to understand programming language with simple syntax. Though Python also has a simple syntax, Golang is simpler to learn and work with. Golang is based on C language so it can be trusted by everyone.
Golang came into existence to solve practical problems at Google, and thus it is more pragmatic. You don’t need to stress much on language structure to be able to create classic websites and applications.
There is huge list of libraries for Python.
Python has a huge list of libraries. Python is richer in library if we campare with Golang, but Golang has a also enough libraries for web development, encryption, and concurrent programming.
Nodoubt Golang has many also built-in functions, and you would rarely need to rely on other tools and libraries.
It is also one of the very important factor for any programming language which creates trust for new IT companies to use it without any hassle.
Golang: Google, BBC, Docker, BaseCamp, Medium, Dropbox.
Python: Instagram, Google, Spotify, Netflix, Uber, Dropbox, Pinterest.
Golang and Python, both have their pros and cons and it is a very tough task to choose one. But you can definitely select it according to your specific project requirements.
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This post is originally posted on https://jsonworld.com/