Python

Environments with R and Python

Python is not the focus of this site, but it is a critical tool for many data scientists. Unfortunately managing Python environments can be challenging:

Figure from https://xkcd.com/1987/

Python environment image from https://xkcd.com/1987/

At Posit, we firmly believe in open source tools, and know that most data scientists and teams use both R and Python together. We continue to make this process easier. To learn more, visit: https://posit.co/python. Or if you like videos, this webinar demonstrates how to combine R and Python in a variety of ways.

For information on installing Python, especially on Linux servers, take advantage of these resources:

• Single shared Python installation
• Multiple versions of Python, or multiple Jupyter Kernels

For current information on managing mixed R and Python projects, see the reticulate::use_* functions and the renv::use_python options.

These resources describe best practices for using Python in Posit’s commercial products.