Using Python with RStudio

Overview

You can use Python with RStudio professional products to develop and publish Jupyter Notebooks, interactive applications with Shiny, reports with R Markdown, and REST APIs with Plumber.

Overview of Python with RStudio

Overview of using Python with RStudio Connect

Examples of Python with RStudio

View examples of Python published to RStudio Connect with Jupyter Notebooks, Shiny, R Markdown, and Plumber

View code examples on GitHub of Python with Jupyter Notebooks and reticulate

Using Python with RStudio

How-to guide for installing and configuring Python with RStudio

Explanation of best practices for using Python with RStudio Connect

Frequently asked questions for using Python with RStudio Connect

Additional Resources for Using Python with RStudio

Reference documentation for publishing Python and R content to RStudio Connect

Reference documentation for the reticulate package (R interface to Python)

Cheat sheet for using Python with R and reticulate

Reference documentation for rsconnect-jupyter (Jupyter Notebook extension)