[IN-PERSON] An Intro to Metaprogramming in R

Metaprogramming is a generally useful tool to solve certain kinds of programming and data analysis problems. This talk will cover some important applications of metaprogramming to dplyr and highlight how R's metaprogramming makes working with tibbles and dplyr more ergonomic than working with pandas data frames. We'll also get a high-level overview of the important APIs used for R metaprogramming and work through an example metaprogramming problem together.

Matt is a wannabe philosophy professor turned wannabe tech entrepreneur. He's spent most of his career writing mobile and web software and most recently, he worked as a data science engineer at Heap. Now he's working on data chimp, a tool to help data scientists analyze data faster.