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@datascience@genomic.social
2025-08-02 10:00:01

"Graphic Design with #ggplot2": All material from this 2 day workshop can be found at rstudio-conf-2022.github.io/gg

@tgpo@social.linux.pizza
2025-09-01 13:52:05

#Jellyfin for #Roku 3.0.9-rc1 has been released and is ready for testing!
Please open tickets for any bugs you find. Existing bugs won't block release, but bugs introduced from the 3.0.9 changes will.

@gedankenstuecke@scholar.social
2025-08-28 02:07:03

«I do understand: you want permission. There’s a machine in the corner wrapped in human skin that makes things out of shit and blood to look like whatever you want (as long as you don’t look too closely). […] You want to know you can use it sometimes without me thinking less of you. You don’t need me to believe it’s useful, you just want me to be polite about it. But I am a hater, and I will not be polite. The machine is disgusting and we should break it.»
/cc @…
anthonymoser.github.io/writing

@wyri@toot-toot.wyrihaxim.us
2025-07-18 16:16:45

#TIL: @GitHub has a command palette: github.blog/changelog/2025-07-

@toxi@mastodon.thi.ng
2025-07-27 09:27:06

Anyone else getting these ridiculous repo scraping spikes? A clean checkout of the thi.ng/umbrella monorepo is ~370MB. Over the past 14 days there were 222k clones (only 117 unique) of this repo which have caused downloads of a whopping ~78TB. WTF! 🤯

Screenshot of a Github activity line plot showing the number of daily clones per day over the past 14 days. In the past week the number of daily clones went up to 60k+ for 2 days, with the total number of clones for the entire timespan 222,356 with only 117 unique cloners.
@kurtsh@mastodon.social
2025-07-22 07:21:23

Dear Tender Greens of Century City:
All I asked was to replace the mashed potatoes & bread on the Short Rib plate w/ a small side spinach salad.
Because I'm #diabetic.
Your manager said 'no': Order something else. Repeatedly. Despite having done this 5-6 times before.
Goodbye

@timbray@cosocial.ca
2025-07-05 19:44:45

Heh, got pitched based on my Quamina open-source GitHub repo on behalf of “Fabinvest” which turns out to be a PE fund owned by Qatari royal Jassim Al-Thani. A polite and restrained pitch, not pushy or scammy.
There’s too much money in the world and its owners are increasingly desperate in their search for a place to invest it. I suppose prospecting popular GitHub repos is less crazy than other things that I see going on.

@EgorKotov@datasci.social
2025-08-10 23:26:51

Get 9-30x speed doing areal-weighted interpolation with my new {𝐝𝐮𝐜𝐤𝐬𝐟} #rstats package compared to {sf}/{areal}. Experimental, but tested against both {areal} and {sf}. github.com/e-kotov/ducksf . Despite…

Benchmark scatter plot comparing areal-weighted interpolation runtimes (seconds) vs. peak memory use (MB) for three R package backends. {ducksf} with DuckDB backend is fastest (8.3s, 240MB, bottom left, green). {geosareal} with GEOS backend is mid-range (35.2s, 623MB, center, blue). {areal} with sf backend is slowest (230.7s, 1546MB, top right, orange). Ducksf logo in top-left corner.
Benchmark scatter plot comparing areal-weighted interpolation runtimes (seconds) vs. peak memory use (MB) for three R package backends. {ducksf} with DuckDB backend is fastest (8.3s, 240MB, bottom left, green). {geosareal} with GEOS backend is mid-range (35.2s, 623MB, center, blue). {areal} with sf backend is slowest (230.7s, 1546MB, top right, orange). Ducksf logo in top-left corner.
Benchmark scatter plot comparing areal-weighted interpolation runtimes (seconds) vs. peak memory use (MB) for three R package backends. {ducksf} with DuckDB backend is fastest (30.6s, 240MB, bottom left, green). {geosareal} with GEOS backend is mid-range (35.9s, 623MB, center, blue). {areal} with sf backend is slowest (284.1s, 1581MB, top right, orange). Ducksf logo in top-left corner.
@datascience@genomic.social
2025-06-07 10:00:00

Beautiful palettes based on art for R and python: #rstats #ggplot

@datascience@genomic.social
2025-06-04 10:00:01

The {esquisse} package makes it easy to plot your data in different ways with a drag and drop interface: #rstats