Configuring Python with RStudio

Overview

Administrators can configure Python and Jupyter with RStudio Server Pro for development and RStudio Connect for publishing.

For more information on end-user workflows with Python and Jupyter in RStudio, refer to the resources on using Python with RStudio.

Once configured, users can publish Jupyter Notebooks or R applications that call Python scripts and code.

Ready to integrate Jupyter Notebooks with RStudio Server Pro?

You can configure Jupyter Notebooks on a single server or with external resource managers such as Kubernetes or Slurm.

Documentation for integrating RStudio Server Pro with Jupyter Notebooks on a single server

Documentation for integrating RStudio Server Pro with Jupyter Notebooks, Launcher, and Kubernetes

Documentation for integrating RStudio Server Pro with Jupyter Notebooks, Launcher, and Slurm

Want to help users get started with Python and RStudio?

Users can follow steps to install and use Python environments and packages with RStudio

Administrators can install and integrate Jupyter with RStudio Server Pro using the links in the above section.

Administrators can install Python on RStudio Server Pro and RStudio Connect for users to develop and publish R content that calls Python scripts and code.

Want to learn more about using Python with RStudio?

Frequently asked questions for using Jupyter Notebooks with RStudio Server Pro

Frequently asked questions for using Python with RStudio Connect