Configuring Python with RStudio#
Overview#
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.
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Documentation for integrating RStudio Workbench with Jupyter Notebooks on a single server
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Documentation for integrating RStudio Workbench with Jupyter Notebooks, Launcher, and Kubernetes
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Documentation for integrating RStudio Workbench with Jupyter Notebooks, Launcher, and Slurm
Want to help users get started with Python and RStudio?#
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Users can follow steps to install and use Python environments and packages with RStudio
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Administrators can install and integrate Jupyter with RStudio Workbench using the links in the above section.
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Administrators can install Python on RStudio Workbench 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?#
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Frequently asked questions for using Jupyter Notebooks with RStudio Workbench
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Frequently asked questions for using Python with RStudio Connect