PyCharm 2020.2 Help

Scientific tools

PyCharm supports the following tools for scientific computing:

  • Matplotlib and NumPy

    NumPy is the basic package for scientific computing with Python. Matplotlib provides a set of Python plotting libraries. Support for these packages is enabled through the Scientific Mode, which is available only in the Professional edition of PyCharm.

  • Jupyter Notebook

    IPython provides a rich architecture for interactive computing with data visualization.

    With Jupyter Notebook integration available in PyCharm , you can easily edit, execute, and debug notebook source code and examine execution outputs including stream data, images, and other media.

  • R language

    This support is available through the R plugin, which enables statistical computing using R language.

Last modified: 23 June 2020