Jupyter
Jupyter Notebook is another Integrated Development Environment specifically used for Data Science. It can be executed on a local desktop or can be installed on a remote server. Installing Anaconda would be the first step, to begin with in using Jupyter. It is an interactive computational environment. The interface is similar to a word processor.
As Jupyter is more specifically designed for data science investigations, it revolves around the concepts of kernels and cells. Pandas, Matplotlib, Seaborn, Numpy, etc. could easily work with data and plot charts. The documents created in Jupyter might contain visualizations, equations, narrative text, etc. Jupyter is open-sourced and free to use.
Top 10 Python IDEs in 2024
IDE stands for Integrated Development Environment is software that facilitates the programmers to develop applications. It provides a bundle of functionalities like writing the code, highlighting the errors, debugging, testing the code, etc.
In this article, we are going to have an overview of the top Python IDE and the features a developer must know and take into account before choosing one for their project. Let’s also discuss a few points about Python programming and why Python IDE is used instead of a text editor.
Contact Us