Scientific tools

IntelliJ IDEA supports the following tools for scientific computing:

• Formats for data view

  The Data View tool window supports NumPy arrays and pandas dataframes.

• Data visualization formats

  Matplotlib provides a set of Python plotting libraries.

• Jupyter Notebook

  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.