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Introduction
Reticulate Setup Template:
Strengths:
Weaknesses:
Additional Resources:

R and Python Together using Reticulate

PreviousObject Oriented Programming NextRandom Forests are Versatile

Last updated 2 years ago

Created by Chia, Jonathan on Apr 09, 2022

Introduction

Reticulate lets you switch between Python and R in one R Markdown document

Notice that the python object flights was referenced in R using py$flights

Reticulate Setup Template:

Strengths:

You can code in Python and then switch to R for Shiny Dashboards
You can pick and choose your favorite packages from either R or Python - ggplot vs seaborn, caret vs sklearn, etc.
You can keep your R and python projects together in one place
You can create beautiful R markdown reports that display both R and Python outputs

Weaknesses:

Can feel a little clunky especially if you are used to Python IDE's
Python objects do not show up in the R environment window - it will show up if our R server is updated to have newest RStudio
You can use R in Jupyter Notebooks if you prefer Python
You have to be reliant on the reticulate package to use Python

Additional Resources:

See below link for more information:

https://rstudio.github.io/reticulate/

Document generated by Confluence on Apr 09, 2022 16:54