[This article was first published on JottR on R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I presented Future: Simple, Friendly Parallel Processing for R (65 minutes; 59 slides + Q&A slides) at New York Open Statistical Programming Meetup, on November 9, 2020:
- HTML (incremental Google Slides; requires online access)
- PDF (flat slides)
- Video (presentation starts at 0h10m30s, Q&A starts at 1h17m40m)
I like to thanks everyone who attented and everyone who asked lots of brilliant questions during the Q&A. I’d also want to express my gratitude to Amada, Jared, and Noam for the invitation and making this event possible. It was great fun.
– Henrik
Links
Relevant packages mentioned in this talk:
- future package: CRAN, GitHub
- future.apply package: CRAN, GitHub
- furrr package: CRAN, GitHub
- foreach package: CRAN, GitHub
- doFuture package: CRAN, GitHub
- doParallel package: CRAN, GitHub
- future.batchtools package: CRAN, GitHub
- future.callr package: CRAN, GitHub
- future.tests package: CRAN, GitHub
- clustermq package: CRAN, GitHub
To leave a comment for the author, please follow the link and comment on their blog: JottR on R.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.