Would you like to know the best technology for your web application? Have a glance at Node.js and Python.
It is an arduous task to hand-pick the best platform that enables you to create a web application. Many were baffled to select one from a few. Here is a wide range of multiple featured technologies, which will facilitate you to identify the right one. We will discuss the differences between the various apps and their applications.
Node.js
Node.js is the JavaScript runtime environment for web applications. The programmer has to decide whether to use Node.js as a backend or frontend for development.
Node.js Benefits
- Rapid execution of the application.
- No buffer time is required during the app development.
- Instant synchronization of the execution process with the available data.
Python
Python is a high-level programming language that is used for developing web applications and desktop-based GUI applications. Besides this, it is dedicated to backend development and needs frontend technology to complete the web app development process.
Python Benefits
- Has a large developer community since it is easy to learn and use.
- Python is a cross-platform and object-oriented programming language.
- Allows developers to have large library files.
Node.js vs Django
Specifications include running the environment and languages. It is also essential to note the frameworks for the development of tasks. The basic framework is the platform to develop the app that contains a set of programs and library files with a compiler.
We know that Node.js is closely associated with JavaScript because Node.js is the framework of the JS language. Similarly, Django is a framework made for Python. Thereby, if you choose Python as your technology, then Django is the best framework to build the applications.
Let’s discuss the differences between Node.js and Python.
Node.js vs Python
It is essential to compare the following things: speed, performance, etc., to enhance the quality platform.
1. Developer Community
Node.js and Python receive positive responses from their developers and numerous uses.
As per statistics from TOIBE, Python occupies the first position, and Node.js is in second place with increasing developers. Nevertheless, these pragmatic statistics alone will not suffice to prove that Python is the topmost technology.
2. Industry Verticals
Python was developed in 1994 as a pioneer of Node.js, written in 2009. Python has been used in all industry verticals, like business, arts and entertainment, shopping, etc., for a long time.
Therefore, Python has a more industry-based developing experience in comparison to Node.js.
Node.js is a budding technology that increases its user group as a competitor to Python. Also, many top-notch web applications rely on this Node.js technology.
3. Speed and Data-Intensiveness
Every development process wants to create high-quality, user-friendly, and data-intensive applications.
In this case, Node.js gets the winning position among the other technologies. Node.js is appreciated for its speed and fast execution of the application in a short time when compared to other technologies like Python, PHP, etc. Node.js is used for high-level development projects in industries like e-commerce or graphics.
Python has a certain lacuna in its applications. Thereby, a lot of developers go with Node.js, a complete data-intensive application.
4. Performance
Performance is directly related to the speed feature. Node.js rules the roost by its high pace, while Python is inadequate in speed and shows a low performance in comparison to Node.js.
The reason is that Node.js is created under the powerful brand called Google V8 JS engine. It is updated with the latest cutting-edge technologies and performs better than Python.
At this juncture, messaging apps are designed with the utmost care, taking distance into account. Node.js comes in handy and is quick to deliver the message from one device to another.
5. Handling Errors
Errors are an inevitable part of coding that exists among developers. The transparency in Python helps identify errors quickly and rectifies them in minimal time.
Similarly, Node.js’ predominant quality is to identify and avoid bugs in the applications. Naturally, it is a win-win situation for Node.js and Python as both are capable of handling errors easily.
6. High Scalable Platform
Scalability is all about using a particular technology with flawless performance. As per this definition, Node.js deserves to be first as it provides an asynchronous execution of the application.
You need to hire Node.js developers if you would like to create a complex app with fewer errors and high performance.
Python provides some tools to maintain flawless performance. Whereas Python’s architecture is not as scalable as Node.js.
7. Easy to Learn and Use
It is easy to understand the Node.js technology if you have an insight into JavaScript. The mentioned technologies are easy to code and perform very well.
On the other hand, Python is a high-level and easy language to code applications.
As per reports based on these, Node.js is the top most framework to learn, and Python is the best programming language to use in app development.
Python is easier to learn and use than Node.js technology. In addition, if you are aware of JS, you can proceed with Node.js technology.
8. Suitable Applications
Node.js performs faster because the code is not as standard as Python. Therefore, without any doubt, you can use Node.js technology for small-scale applications.
If you want to build a large and massive application, then Python is the best choice because the coding level is not as complicated as Node.js.
You can use Node.js as frontend or backend development, whereas Python can be used only as the backend platform, as it supports its framework like Django.
Applications Built With Node.js
The following popular applications are created using Node.js technology:
- Medium
- PayPal
- Netflix
Applications Built With Python
The following are apps built with Python:
- Uber
Node.js or Python for Web Development?
Node.js is best at:
- Fast performance
- Non-blocking and event-driven execution.
- Scalability
- Small scale applications and data-intensive apps.
Python is best at:
- Easy coding language.
- Large developer community and industry experience.
- Providing fast and reliable apps.
- Large-scale applications
Conclusion
Every technology has its pros and cons. You need to decide the best technology that suffices your application requirements and business goals.
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