Node.js and Python are two major technologies in the modern development space. The choice between node.js vs. python has always been a subject of major professional disputes. This review will examine the reasons for using Node.js and Python as backend technologies.
As you’ll see, both platforms have advantages and exist for different tasks.
Node.js is probably the sixth most popular language, highly used for development. Here Python is not far!
Python possesses the third most preferred programming language for application development.
If you’re interested in custom Node.js development, we recommend you continue reading this text.
Node.js as a Backend Technology
Many reasons exist to use Node.js as a backend technology:
1) Perfect Scalability via the Chrome V8 Engine:
Node.js uses the technology of Google to boost its capabilities. Being used in most browsers, it offers a perfect opportunity to spread your work across many platforms.
2) Asynchronous Programming:
Node.js enables you to deliver code without synchrony. It means your code doesn’t have to load from top to bottom. Instead, you can ask Node.js to load some elements simultaneously. One may present some parts of a website faster than others.
Simple elements load first, and then something heavier appears. This approach is perfect for any company that wants to create a web app with some advanced functions. Node.js can first present the interface and only then transition to the most complex parts of a website.
Well, due to the same asynchronous nature of the programming of Node.js, there is a problem callback occurs with the functions and results as callback hell. Whenever multiple callback situation occurs, the process of Node.js deteriorates its performance in solving and maintaining hard issues and decreases the quality.
3) Great Extensions:
Node.js is notable for having more than 1 million packages in its repositories. This means you can integrate other programming languages or present certain features without major effort. There’s no need to reinvent the wheel for some functions. The active community of Node.js is ready to help and develop some things for you.
Python as Backend Technology
Python is one of the most popular programming languages in the world. Here are some of the key reasons to use this language for backend development:
1. Multi-Core Processing:
Python allows you to enable processor-heavy tasks for your browser. Contrary to Node.js, it doesn’t rely on single-core performance. You can create some heavy programs that will work great on the platform. However, it is important to understand that Python is incompatible with mobile application developments.
2. Great Support from the Community:
Due to its popularity, Python has many extensions. This means that millions of people are developing some tools for the language. You can add new features or integrate other programming languages. The choice is smaller than for Node.js but also extensive because we are fine finding the key solutions to our needs.
People prefer Python because it is very flexible to work with other languages and platforms. This way, it becomes super easy for the developers to work on various tools and languages to develop their integrity and performance.
Choosing Between Node.js vs. Python
Choosing between Node.js and Python is easier than you think because the main difference between these will lead you through the choosing path.
Where Node.js is suitable for websites and applications, Python is a lifesaver for backend applications, numerical computation, and machine learning.
Node.js and Python offer two alternative development routes: one for heavy apps and the other for something small and scalable. We recommend Node.js if you’re developing a site that only needs a little processing power. For instance, banking or video streaming apps often use Node.js.
Simultaneously, Python is perfect for something more complex: you should use it in web-based video games, office suites, or mathematics calculation programs.
All in all, Python and Node.js are perfect for different goals. It would be best to look at the context, as there’s no pre-set solution for every task. Above all, the best development platform should be the best for you. Contact professionals if you’re interested in help with choosing the best platforms.