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.