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Sunday, February 5, 2023

Node.js vs Python: Which Language Should Self-Taught Developers Choose? – Analytics Insight

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Disclaimer: The information provided in this article is solely the
Disclaimer: The information provided in this article is solely the
Disclaimer: The information provided in this article is solely the
Disclaimer: The information provided in this article is solely the
Technology has taken a front seat in economic and societal development. Enterprises are trying hard to seek skilled programmers and engineers who can efficiently leverage these technologies and deliver seamless, accurate software solutions. Currently, programmers and self-taught developers are among the highest-paid professionals in the world. They earn quite lucrative salary packages in tech companies situated in India, and in other countries like the US, Canada, UK, Germany, Israel, Australia, Denmark, and Japan to name a few. Tech aspirants of any domain can take their tech careers to new highs if they possess the knowledge and skills of industry-popular programming languages. However, not all programming jobs are the same. Different roles in distinct companies require candidates to learn different programming languages. Over 1.9% of websites use Node.js compared to 1.3% of websites that use Python – but is that an accurate comparison when each language is used for more than just websites? Node.js is used by Netflix, NASA, PayPal, Uber, and Twitter, while Python is also favored by brands like Netflix, YouTube, DropBox, and Facebook. Large brands use both, but there is overlap too. This leads to an inevitable choice for all self-taught developers to pick one between the two programming languages – Node.js vs Python.
 
The key difference between Node.js vs Python is that the former is a runtime environment primarily dependent on Javascript. It’s used for applications that frequently interact with web servers and designed for optimal computing-resource utilization.
 
Since Node.js is event-driven, it’s scalable and brings phenomenal efficiencies to the project. Its asynchronous nature equips it to handle concurrent requests without blocking the I/O operations. Most development teams prefer Node.js to use JavaScript on both clients and server-side.
 
On the flip side, Python is a full-fledged, high-level, and object-oriented programming language. Since it’s been around for close to 30 years, it has a ton of libraries, APIs, and ancillary tools available. Python is conducive to several programming paradigms, and it’s extensively used for business applications.
Its community, libraries, and supporting platforms are far reaching. Hence, it is an ideal programming language for most businesses that are required to develop applications for different and often uncorrelated use cases.
 
Developing a server-side part of an application, it requires maintaining the application’s scalability. Node Js uses a single thread to manage non-blocking I/O calls. The concern of Node Js scalability in application development is worth avoiding as it provides an application’s easy horizontal and vertical scalability. Node Js provides scalability on various servers and improved performance on a single server.
To have a scalable application, it is required to have multithreading. However, Python uses its Global Interpreter Lock, which doesn’t allow multithreading.
Therefore, Python Scalability in an application is not as good as Node Js as it does allow multiple tasks simultaneously. It only allows one task at a time which gets a bit difficult while working on large application development projects.
When it comes to making the decision of Node.JS vs Python, it’s best first to step back and look at all the pros and cons of both the programming languages.

Disclaimer: The information provided in this article is solely the author’s opinion and not investment advice – it is provided for educational purposes only. By using this, you agree that the information does not constitute any investment or financial instructions. Do conduct your own research and reach out to financial advisors before making any investment decisions.


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