Node.js vs Python

Node.js vs Python

When it comes to project development, one of the most critical decisions to make is to choose the suitable technology. There are intensive discussions on the question of which one is superior. Often, Node.js and Python are compared because they are among the most prominent technologies for back-end development.

It is quite challenging to say that a specific language exceeds another because each project has its unique requirements that have to be taken into account when choosing between Node.js vs Python. Surely, each of them has strong and weak points because there is no “jack-of-all-trades” when dealing with computer engineering.

To help you out in selecting what side of the line you are on in the long-lasting Nodejs vs Python competition, Qubit Labs has decided to give you some food for thought. How? We will compare the most significant features of each programming language, and you will apply them to your project’s requirements. It’s a simple and efficient way to make a decision pretty quickly and eliminate all the guesswork. Now, let’s get down to brass tacks and compare Node.js vs Python.

When and Why to Use Node.js?

Node.js is a server platform built on the JavaScript engine. As for the question “what is node.js used for,” this platform allows writing server code for dynamic web pages and web applications, as well as for command-line programs. It is with Node.js when the paradigm “JavaScript” for everything is put into action. It implies utilizing a single programming language for developing web-applications instead of using several languages for working with front-end and back-end.

Actually, it is not an independent programming language but rather a platform for using JavaScript on a server’s side. It was presented back in 2009 by Ryan Dahl, who has decided to implement the V8 engine for creating the technology. Among other Node.js advantages, we can mention that it can be installed on a server, and your code can be executed on it, giving the result of execution to users. With it, you can create separate applications using additional frameworks. Node.js uses an event-driven model and non-blocking I/O architecture, which makes it lightweight and efficient.

Coming back to the question of when to use Node.js, it is applied in back-end JavaScript development. It is the right choice when you need to develop RTA, web-applications that respond to users’ actions in real-time. For example, Google Docs is an online tool that makes it possible for several people to work on the same document simultaneously.

It easily handles a large number of requests at once and keeps your application responsive. That’s why server JavaScript is often implemented for creating SPA, single-page web-apps, in which rendering is performed on a client’s side. A multitude of prominent organizations, like Netflix, Uber, and LinkedIn, have chosen it for their projects. Recently, Node programming has gained popularity thanks to the fact that programmers apply it for IoT, like smart kettles and other household equipment. The technology helps to manage the appliance and create servers that can process multiple requests simultaneously.

What is Python Applied For?

When it comes to Python uses, it would be fair to mention it remains among the most innovative, flexible, and universal technologies, although it was released in 1991. It is the most preferred language for the projects that apply AI, machine learning, and data science thanks to its excellent documentation and sustainability in libraries’ development. The number of uses for Python is truly remarkable because it is implemented in various projects, from startups to large corporate platforms.

This programming language makes it possible for the developers to get the job done while using fewer code lines than other object-oriented languages. Python offers a full stack and can eliminate mistakes in a blink. It is easy to work and debug its compact syntax, which, in its turn, makes it easy to read the code. Its unique methodology enables it to support several iterations at the same time while using certain parts of code again.

The broad spectrum of tools enables it to engage certain web-infrastructures to facilitate the development process and reach the best uses for Python. Multiple code editors support this language and provide it with several functions for editing and expanding the syntax. When speaking about Node.js vs Python, the second one is a more “mature” language with open-source code with one of the largest user communities.

Node.js vs Python

Annual Node.js Developer Salaries 

Now, as we have figured out what is Node js used for, it would be efficient to see its popularity on the market, which, to a certain extent, can be seen by the level of developers’ salaries. It is clear that they vary widely from country to country because the economic situations are contrasting, making companies and employees adapt to them. Nevertheless, it is essential to understand that a bigger salary is not the thing that defines the professionals’ skills and knowledge. It is more about their working conditions.

Also, some Node.js alternatives include Elixir, Perl, and Asp.Net, but they, again, should be evaluated based on your expectations regarding the project’s outcomes. What can be mentioned in this case is that, sometimes, it is better to choose a more widespread technology rather than its alternatives because if you face specific issues, the user community would know how to deal with them.

Let’s jump to the most exciting part: the annual salaries of Node.js developers in different countries.

USA$104,964
Canada$110,000
Netherlands$59,300
Germany$65,522
UK$52,732
Australia$61,045
Norway$70,303
Denmark$82,140
Spain$37,399
Singapore$44,789
Ukraine$21,600
Poland$27,686
Brazil$13,570
India$8,788

As you can see, there are plenty of choices, and you can easily outsource software development to another country. It is a reliable way to receive high-quality services for a price that will be multiple times lower than in the US. The demand for Node.js developers is growing, so it would be a forward-looking decision that will benefit your company in the long run.

Annual Python Developer Salaries

With reference to Python vs Node.js, the difference in salary rates between certain countries is barely notable, while the others have a considerable gap. Thus, you can choose the region which will be more culturally and time-zone close and ensure a comfortable working atmosphere within the team. It’s time to move on to the annual wages of Python developers around the globe.

USA$110,000
Canada$100,000
Netherlands$89,286
Germany$65,000
UK$66,000
Australia$125,000
Norway$97,923
Denmark$73,514
Spain$36,361
Singapore$56,270
Ukraine$25,000
Poland$25,475
Brazil$12,036
India$15,000

Thus, India and Brazil take place at the end of the list, while the US and Australia are the leaders with the highest salaries. Yes, it would be much more cost-effective to choose countries with lower wages, yet, one should point out that these states have mentalities contrasting to Western, which might make it complicated to find common ground.

In terms of Nodejs vs Python, in both cases, it is essential to be 100% confident in your project and the developers who are working on it. If you have faced a lack of skilled professionals who can meet your expectations, pay attention to such countries as Ukraine, Poland, and Germany because local software engineers are top-notch and easygoing.

Closing Out

The main difference between Python vs Node.js is in the areas of their application. The first one is more comprehensive because it is used both in web-development and Data Science, Machine Learning, and several other areas. As for node.js, it is more about web-development solely. Thanks to Electron, this technology is also applied for developing desktop applications. Nevertheless, the question “why Node.js” can be easily addressed by mentioning that it works with useful frameworks Express and Nest.js and package manager npm.

In general, it is almost impossible to say that in the lengthy competition between Node vs Python, one of them wins over the other. Both technologies are capable of delivering reliable, consistent, and efficient decisions when applied correctly. Keep in mind that Node.js is better for clients and servers’ web-development, while Python is preferable for developing scientific solutions and big data analytics. The choice is up to you. However, if you have any questions left regarding the mentioned technologies or want to hire skilled developers, Qubit Labs will gladly help you out, so feel free to contact us.

 

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