Scientific tools

PyCharm 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 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.

Support for these packages is enabled through the Scientific Mode, which is available only in the Professional edition of PyCharm.