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.