When using R, sometimes there are situations where your code could run much faster if it was parallelized. Having code run concurrently can provide a great speed boost, but learning how to run R code in parallel can seem like a steep learning curve.
In this live workshop, we'll walk through:
An introduction to running concurrent code with R packages such as future, furrr, and callr
How to spawn concurrent tasks
How to iterate over lists in parallel
How to integrate parallelization into your existing R workflows
By the end of the workshop, you should be ready to add concurrency to your R code.
Try these examples on Saturn Cloud for free: https://saturncloud.io/?utm_source=Yo...