Python and Node.js are the trending topics amongst developers. Though python and node.js have no comparison at all on the basis of what they are supposed to do, there is one field where the concept of Python challenges the concept of Node.js and this intersection junction is what we are going to discuss.
When it comes to back-end development, developers have a hard time choosing between Python vs Node.js this is the only area on which we can compare these two tools, but before comparing these two let’s discuss what is Python and Node.js.
What is Python? [Definition]
Python is a general-purpose, high-level, and multi-paradigm programming language. Here general-purpose mean Python can be used for many things like scripting, Desktop application, web applications , and lots more. It is an Object-Oriented programming language which also supports procedural programming which increases the versatility of Python. According to a survey, people have searched Python programming language on Google more than any other programming language this describes the popularity of this programming language. And when, we talk about AI, and Machine Learning topics python is there too.
What is Node.js? [Definition]
Node.js is a free-to-use cross-platform JavaScript runtime environment that is used to run the JavaScript code on the server. Node.js is written in C, C++, and JavaScript and it uses JavaScript as its native language to build dynamic web pages and applications. It is clear that Node.js is not a Programming language, it is a runtime environment for JavaScript and JavaScript is the programming language here.
Node.js here .js is the extension of a JavaScript file, although Node.js is not a particular JavaScript file. We could say that JavaScript uses this runtime environment to execute its code on the server-side instead of the browser or client-side, and with the help of Node.js JavaScript is pushing its reach to the Backend development.
Python vs Node.js: Head-to-Head Comparison
Python | Node.js |
Type |
|
Python is a Programming language | Node.js is a JavaScript runtime environment |
Beginner Friendly |
|
Python has simple syntax and it is an Ideal Programming language for the Beginners | To get started with Node.js you must have advance knowledge of JavaScript functionality, and for a Beginner, Node.js could be a wrong choice to opt. |
It has a low learning curve | It has a High learning curve |
Web Application |
|
Python for web application is not a good choice because for that we need its frameworks that come with complex structure and do not provide that much scalability for a web application. | Node.js is specially designed for web application and it is one of the best tools used by JavaScript developer to create dynamic web applications |
Projects |
|
Python can be used for both small and big projects. | Node.js is not an ideal tool for big projects, it just used to increase the functionality with less amount of scripting |
Code Execution Technique |
|
Python use PyPy interpreter to execute its code | Node.js uses JavaScript interpreter |
Speed |
|
Speed is one of the main disadvantages of Python | Node.js is way faster than Python because it is based on Chrome V8, which is a powerful engine |
Scalability |
|
Scalability tests the performance of a system when the request for that system increase. Python is scalable but as compared to Node.js it lacks by some units but it has such tools that can increase its scalability. | When we consider scalability here Node.js has an edge over python. |
Error handling |
|
Python is a programming language and error are common when we code in a programming language, and it uses an interpreter to execute its code so debugging is easy in Python | Debugging could be difficult. |
Popularity |
|
Python is the most popular programming language of 2019 | Node.js is also very popular when we talk about web frameworks and libraries |
Community Support |
|
Python has huge community support because it is used everywhere | Node.js also has large community support. |
Uses |
|
Web and internet development Business applications Data Science GUI desktop application | I/O bound application Single page applications Data Stream applications JSON API based application |
Advantage and Disadvantages of Python:
Advantages
- it is quick and easy to learn than other object-oriented languages.
- It supports multiple platforms to run and platform like on Mac, it comes pre-installed
- The syntax of the language is well organized and easy to read.
- It is a dynamic language so you do not need to define the variable datatype.
- It has a large community.
- Supports OOP’s concept.
- It has a large number of Libraries.
Disadvantage
- Python doesn’t do multi-core and multi-processor well.
- There is a limitation to access the Database.
- It is slow as compared to other languages such as JAVA, and JavaScript
Advantages and Disadvantages of Node.js:
Advantages
- It is more flexible because you just need JavaScript to code for the front as well as backend
- It has a fast-growing community
- It has many packages and libraries for various tasks
Disadvantages
- With the increasing number of libraries bring poor quality for Node.js
- There is a rapid growth of Node.js users but there is no such increment in its update
Conclusion
Both the tools are serving great in their specific field Node.js is doing great in web applications and python is a number one choice for data science .
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