Node.js is an open source, asynchronous event-driven JavaScript runtime, Node.js is designed to build scalable network applications.
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Python IDLE
Score 8.7 out of 10
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Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.
Node.js is easy to use and we don't need to set up the environment for using it as we do for making backend with Django and python, It is also faster and causes less buffering unlike WordPress or other of the kind, and last but not least it is easy to use by beginners as syntax …
1. Node.js is useful for building one page, fast, light-weight, scalable applications. 2. It is not suitable for building computationally extensive applications, it may lead to bad performance.
IDLE is a good option to run small scripts directly on the console, and that's it. It is a good exit when you don't want or need to open a proper IDE like Pycharm.
The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.
This IDE allows you to configure the environment, font, size, colors, .....
It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.
Once the IDE is executed you can start programming directly in it.
Node.js is easy and good to use, their support team is also good they always tend to help you, and solve your problem, even we know that Node is free to use and opensource but then also we get support from them but for getting much better results we need to purchase standard or enterprises support provided by them.
Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.
In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.
As this IDE is made in Python, the support is the same group of Python developers.
There is a smooth and seamless performance for multiple requests as the feedback received from users. and uses one platform to maintain UI and backend.
It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run Jupyter Notebook on my cloud desktop