cedricr, 2 hours ago to random

PSA for #RStats users: consider adding sth like
1 options(Ncpus = parallel::detectCores() - 2) and

2 Sys.setenv(MAKEFLAGS = paste0("-j", max(parallel::detectCores() - 2, 1))) in your .Rprofile.

1 will make packages install in //, 2 will make builds from source parallelized.

On a 32 cores box, building @tylermorganwall rayshader (many dependencies):
none: 718s
2: 327s
1+2 : 138s

duckdb (no dep):
none: 989s
2: 112s

Prepare for some fan noise though !

brodriguesco, 13 hours ago to random

on May 16, 2024, from 4:00 pm - 6:00 pm CEST I'm giving a 2 hour online workshop on reproducibility with #Nix for #RStats users organized by the DIPF (Leibniz Institute for Research and Information in Education)

Register here: https://www.leibniz-openscience.de/event/los-workshop-reproducible-research-with-nix-and-rix/

ramikrispin, 19 hours ago to Excel

(1/2) I have been following the work of @stevensanderson and David Kum for a few years now, and I am excited to see the release of their new book 🥳- Extending Excel with Python and R 🚀.

The book focuses on the common conjunction and collaboration between data scientists and Excel users. This includes scaling and automating #Excel tasks with #RStats and #Python and core data science applications such as data wrangling, working with APIs, data visualization, and modeling.

#DataScience