Parallel Processing for purrr with furrr

code
intermediate
r
tips
Author

Daniel Kick

Published

April 10, 2020

If you’re iteratively making plots, resampling, or doing another task that would have your reach for a for loop or lapply() use furrr::future_map() instead. furrr gives parallel processing ready versions of tidyverse’s purrr functions (e.g. map(), walk()). It’s easy to install the dependencies and takes a lot of the headache out of parallel processing.