Jupyter Notebooks and Jupyter Lab are popular environments for developing Python code. Starting in version 1.2.5, RStudio Server Pro can be configured to provide users with access to Jupyter Sessions. This repository contains a few example Jupyter Notebooks and Python scripts that can be used to explore those features.
Log in to the RStudio IDE and click on New Session. Then select either JupyterLab or Jupyter Notebook from the Editor menu:
Once the session is started, open up jupyter-static-visualization and then click on jupyter-static-visualization.ipynb to open up the Jupyter Notebook.
Once the notebook is running, you can execute code cells by either clicking the "play" button in the menu bar or by pressing Shift + Enter from within a cell.
A more complete set of R + Python examples is available on GitHub. More information about RStudio can be found at RStudio.com and you can learn more about Jupyter by visiting jupyter.org.