Tutorials & presentations

At University of Innsbruck (May 2025)

• Webscraping Part 1: static webscraping: a tutorial on webscraping static pages with rvest.

• Webscraping Part 2: dynamic webscraping: a tutorial on webscraping dynamic pages with RSelenium.

• Handling large data in Python and R: a tutorial on handling datasets with tens of millions of observations using Polars (and tidypolars) in Python and R.

At LISER (2022-2024)

• Webscraping with RSelenium: a tutorial on performing webscraping with RSelenium, 100+ slides.

• Webscraping with RSelenium (short): a shorter version of the RSelenium tutorial,  40 slides.

• Good practices for research with R: a small list of what I consider to be good practices for reproducible research with R,  40 slides.

• Handling large data with polars and tidypolars: a brief introduction (not a tutorial) to the Python and R packages polars and tidypolars,  30 slides.

Tools (selection)

• Jarl: a very fast R linter, written in Rust.

• polars: port of the Rust/Python polars library to R.

• tidypolars: get the functionalities of Polars with the syntax of the tidyverse in R.

• flir: efficiently rewrite patterns of R code.

• altdoc: use docute, docsify, mkdocs or quarto to create a website for your R package.

• prompter: easily add tooltips to HTML elements in R Shiny applications, using hint.css under the hood.

• conductor: create tours in R Shiny applications using shepherd.js.