Deciding to bring any website online is a greater push to businesses or startups. But the even greater push is to know which technology to use. Though the decision gets tricky at times, the only way to solve it is to know the use and need of the app/ website.
Before we go into project web development having a clear idea about which technology to choose is a bigger question to face.
a. Project/ Product Scope
b. Project/ Product Budget
The basic and most helpful criteria is to know what is the scope of our project. Based on this we will be able to expand the development scope. Based on the scalability or nature of the project here are few ways how Python or Node.js suits the project needs:
A good app should be an easy one to use. The easier it is to use the more helpful it will be. Python does contain some tools that help in bringing seamless scalability in the app/application development. Though it does not support default asynchronous programming. And is not as scalable as Node.Js due to the architecture difference.
Get many events bypassed in a non-blocking event driven architecture. Thus speeding up the code application. Node.JS’s single module enabled caching eradicates app loading time. Thus making web apps more responsive.
It uses a single flow and takes more time to process the requests. Thus, we cannot keep python on the list when we need to make apps that prioritise speed, performance, or engages complex calculations.
No doubt Node.Js wins in this case.
It enables asynchronous input or output in an event-driven environment. No procedure hinders the thread as the specific procedure is called as early as that particular event happens. Its event-driven architecture favors web games and chat apps building.
Special tools help in developing event-driven and asynchronous apps. Maximum libraries of python frameworks are not created to help with asynchronous events. Its need for some more activities calls for node.js to be given preference over node.js.
Python developers don’t require to write a lot of codes. Its syntax is its biggest benefit. The syntax is easy and is free of curly brackets. Code debugging and reading is made easier. Its syntax makes doing python easy for the newbies.
The learning curve falls in ease at which coders write code in a specific framework or language. It covers web app developers’ fluency in tools and syntax.
Its syntax is unknown to the developers. The reason being the code is not written in the popular language. With its easy to write clean and short code, developers find it easy to write. In a way python is helpful as some code lines help to reach the same result as in node.js.
Python has a proper built when it comes to documentation. Thus learning curve can be supported well. Full-stack developers prefer this most preferred language. Obvious reasons are its accuracy, simplicity and efficiency.
Use this for all your small web and app projects. Due to its inadequacy of clear coding standards, it is not recommendable for bigger projects. And it is the best choice for your smaller or startup projects.
It is perfect for wide range of projects. The project scope varies between machine learning, numerical computations and web applications to network programming. Thus making it a perfect option for different kinds of tasks.
It supports frontends and backends. The different frameworks are Pyramids, Flask, and Django for backend while PySide or Tkinter for the frontend.
For higher projects, Python web development helpful and clear coding is a greater option.
When we draw a line between node js vs python, we can never quote one as superior over the other. While one suits the smaller project the other suits larger ones. The basic criteria are, as mentioned above apart from budget and scope of the project:
a. Project-specific needs
b. Expertise of the team.
Python and Node.JS are used for different projects and none of them is better than the other. Thus while picking any of them the call is to know the projects’ needs and importance.
Taking care of advantages and disadvantages, suiting your project’s needs and then deciding on the coding language would be a smart step!