Configuring Python with RStudio#
Administrators can configure Python and Jupyter with RStudio Workbench 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 Workbench?#
You can configure Jupyter Notebooks on a single server or with external resource managers such as Kubernetes or Slurm.
Documentation for integrating RStudio Workbench with Jupyter Notebooks on a single server
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 Workbench using the links in the above section.
Administrators can install Python on RStudio Workbench and RStudio Connect for users to develop and publish R content that calls Python scripts and code.