IntelliJ IDEA supports the following tools for scientific computing:
The Data View tool window supports NumPy arrays and pandas dataframes.
Matplotlib provides a set of Python plotting libraries.
IPython provides a rich architecture for interactive computing with data visualization.
With the Jupyter Notebook integration available in IntelliJ IDEA through the Python plugin, you can easily edit, execute, and debug notebook source code and examine execution outputs including stream data, images, and other media.
Support for these packages is enabled through the Scientific Mode, which is available only in the Ultimate edition of IntelliJ IDEA.
Last modified: 21 April 2023