Eric R. Scott
LeafyEricScott@hachyderm.io
<p>Scientific Programmer & Educator | Data Engineer with grant-witness.us | Mentor for @Posit Academy | Ecologist | Tea geek</p><p>Posts are mine and do not represent my employers in any way</p><p>If you can't help but do a lil dance when you eat something tasty, I think we'll be friends.</p><p>Migrated from fosstodon.org so I can see all my friends again!</p>
Posts
-
Post #4074784
I recently leveled-up my ad-blocking game by hooking my #pihole up to a #tailscale network so I can have it blocking ads on all my devices even outside of my home network! I used to assume that Tailcale would be scary to set up and only for someone with a lot more experience and time on their hands than me, but it was surprisingly easy. They even had a guide specifically for this use case: https://tailscale.com/docs/solutions/block-ads-all-devices-anywhere-using-raspberry-pi
-
Post #2480808
What is the criterion that the Criterion Collection uses? Good movie?
-
Post #2185958
I cannot for the life of me figure out a good way to read in a dataset made of hundreds of CSVs with *mostly* the same columns (in :rstats: ). I wrote a blog post that is basically an extended reprex. Comments and solutions are welcome! https://ericrscott.com/posts/2026-05-07-multi-csv-datasets/ #rstats
-
Post #1447720
*Finally* got around to testing new {purrr} and {mirai} features on the #UniversityOfArizona #HPC and it is such a big step forward for researchers who would prefer not to leave their R comfort zone like myself. Here&#39;s a gist that you can run from an interactive session to launch SLURM jobs as workers and use them for parallel computing with `purrr::map()`: https://gist.github.com/Aariq/d52a0d861e5a2c90540548caa47021af #rstats
-
Post #747191
I went to my local middle eastern market today, not remembering that it is Eid. A little like Trader Joes the day before Thanksgiving except everyone was smiling and in a good mood. Anyway, Eid Mubarak to all who celebrate
-
Post #747184
My wife is amazing at guessing movies my mom wants to see from extremely vague descriptions. 1. The one about a woman that won an award 2. The funny space one with the tree She got both of these right, can you?