Choosing the right programming language for a new project is one of the most difficult decisions programmers make. In the world of programming, there is no such thing as a master of all trades and every new project comes with a unique problem. Different programming languages have their own strengths and weaknesses which make them fit for some situations but not all. Node.JS and Python are in the group of the most popular technologies for backend development. We will compare these two technologies to figure out which works better in which case.
What are Python and Node.JS?
Python is the most popular language for Machine Learning and GitHub’s second most popular language. It is an object-oriented programming language that is dynamically typed and supports multiple programming models. It is used to create applications for web, desktop and mobile and comes with an all-inclusive collection of libraries and packages to smoothen the process of development.
Detailed Comparison of Python and Node.JS Development
To give a better understanding of both the competitors, here is a detailed comparison with some of the pre-defined factors.
Speed and Performance: In Python web development, the processes requests in a single flow whereas, in Node.JS, multithreading is possible. Django makes it easy to handle high loads up to a limit but this does not make it a great option for mobile applications.
Trending Technologies: In the smart technology era, Python development service is the go-to choice for cutting edge technologies like Data Science, Machine Learning and IoT. For ML and IoT, there are various tools, libraries and variants of Python along with experts in the community.
Architecture: Python requires special tools to provide support for asynchronous programming. The Node.JS architecture includes a single thread event loop which enables it to handle thousands of concurrent connections when paired with the non-blocking nature of Node.JS. This makes Node.JS the best option for real-time web applications.
Syntax: With Python’s syntax, it is possible to write fewer lines of code to get more. It is free of curly brackets which makes it easier to understand and debug. It is a beginner-friendly programming language and most people can read the code easily with a bit of technical knowledge.
Universality: Python comes bundled with macOS and Linux and can be used for frontend and backend cross-platform development. It is a powerful programming language for desktop and web development but is an impractical choice for mobile development.
Node.JS is also commonly used for the frontend and backend development of web applications. It also reduces development costs and efforts creating a variety of cross-platform applications on mobile, web, IoT and cloud.
Scalability: Python development lacks scalability as the runtime interpretation of Python code makes it a slower programming language. It also lacks support for multi-threading as the internal lock mechanism prevents it from running multiple tasks together. These limitations can be reduced by using Python implementations like Jython or CPython.
Node.JS development is naturally scalable as it is built into the runtime environment and includes a cluster module that possesses the capability of handling the full power of your machine. It also allows for horizontal and vertical scaling of web applications by adding new nodes for horizontal scaling and additional resources for vertical scaling.
Extensibility: Python can be easily extended with several frameworks like Flask, Django, web2py and more for web-only and full-stack development. The features can also be extended for the C/C++ programming language with an API given in the C source file.
Node.JS has a pool of frameworks for extending its features like Loopback.JS, Derby.JS, Koa.JS, Hapi.JS and many more which enable the developers for faster application development.
Error Handling: In the case of Python development, it is easier for developers to find and debug errors because of its compact and readable syntax. Python has an upper edge when compared to Node.JS for better and easier error handling.
Node.JS development is also capable of finding and debugging errors and includes superior exception handling options. It can handle the error at any point in the lifecycle of an application.
Node.JS and Python, both are very powerful options for programmers to develop web applications. Choosing between the two depends on two important factors – the skill of the developer and the purpose of the project. They both offer some advantages over the other but these will never dominate the requirements of the project as there is always a solution for the shortcomings. It also depends on how comfortable your team can work on any one of the technologies.
About Digital Crafters
Digital Crafters is a well-known Node.JS application development company with hands-on experience in creating feature-rich and high-performance Node.JS solutions for clients across the globe. Being a leading Python web and software development company, we deliver best-in-class web applications using outstanding Python development frameworks, programming language, Databases like Django and other advanced tools. The dedicated full-stack Python developers with us work exceptionally to give amazing results for the client’s Python application development project. We perceive the business of the client as our own and transform the out of the box ideas into profitable web applications and websites. Write to us at email@example.com for a free consultation.