Debbie Yuster - Reproducible Student Project Reports with Python + Quarto

23 February 2023
R users have long enjoyed the ability to render professional looking documents using R Markdown. Output formats include reports, blog posts, presentation slides, books, and more. These documents can contain a mixture of narrative, code, and code output, so they are ideally suited to reproducible work. Results and figures can be generated upon rendering, greatly minimizing the risk of copy/paste errors and outdated results. The benefits of R Markdown are now available to users of Python and Julia, in the form of Quarto, an R Markdown successor. Since Fall 2022, I have required my Data Science students to create their project reports using Python + Quarto. In this talk, I’ll introduce Quarto and some of its features, and report on my students’ experience learning and using it.
Debbie Yuster is an Assistant Professor of Data Science and Mathematics at Ramapo College of New Jersey. She holds a Ph.D. in Mathematics from Columbia University. Prior to joining Ramapo, Debbie served as a math professor at SUNY Maritime College, earning the SUNY Chancellor’s Award for Excellence in Teaching. Debbie served as a Visiting Data Science Scholar at the Wall Street Journal, and has cultivated industry partnerships leading to undergraduate research projects. She also has an interest in K-12 STEM outreach, having worked with secondary school teachers and students for many years.