Blending R and Python in Quarto documents

2:45 - 3:05

Overview of the advantages and drawbacks of using Quarto for “bilingual” materials in the data science classroom as well as tips and tricks for managing these blended documents.

Author

Kelly Bodwin

Abstract

Data science teams are increasingly “multilingual”, using more than one statistical computing tool for analyses and models. While many typesetting and notebook approaches support more than one language, Quarto is specifically designed for this flexibility. In particular, Quarto offers the ability to combine source code in both R and python into one single, reproducible document. These new capabilities have made it easier than ever to incorporate both languages simultaneously into statistics and data science courses. In this talk, I will give an overview of the advantages and drawbacks of using Quarto for “bilingual” materials in the data science classroom. I’ll also offer some tips and tricks - as well as some helper scripts - for managing these blended documents.

Slides

Links

templar package: https://www.github.com/r-for-educators/templar

Example materials: https://github.com/Statistical-Learning-with-R

Speaker

Kelly Bodwin is an Associate Professor of Statistics and Data Science at Cal Poly, in San Luis Obispo, CA. Her research includes R package development, studies of statistical education, and applications in a variety of fields such as history, biology, and viticulture. While R will always be her first love, she is slowly learning to accept python into her life.