Data Science and ML tools

PyCharm supports the following tools for data science and machine learning:

• Formats for data view

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

• Data visualization formats

  Matplotlib and Plotly provide a set of Python plotting libraries.

• Jupyter notebooks

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

  With the Jupyter Notebook integration available in PyCharm, you can 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.