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@jamie@boothcomputing.social
2025-08-09 23:21:14

The table's final dry fit. It's almost perfectly level which was one thing I was worried about.
Also, the glue up with shims.
Tomorrow, the finishing goes on and it should be ready to attach the top
#woodworking
#inprogress

table dry fitted with a level across the front legs showing it is level.
table dry fitted with a level across the right side legs showing it is level.
final image of the table dry fit standing iny garage.
table with glue applied and shims in place.  it's ready to dry overnight.
@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.
@catsalad@infosec.exchange
2025-09-08 21:34:39

I recommend visiting, or at least thinking about, /r/spicypillows every so often as a reminder to check on and keep track of all your lithium batteries. 🔥⁠🪫⁠🔥

@kexpmusicbot@mastodonapp.uk
2025-07-10 09:58:42

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Shabazz Palaces:
🎵 A Treatease Dedicated to the Avian Airess From North East Nubis (1000 Questions, 1 Answer)
#ShabazzPalaces
shabazzpalaces.bandcamp.com/tr
open.spotify.com/track/2evTqwZ

@arXiv_csHC_bot@mastoxiv.page
2025-09-10 08:37:31

SpecifyUI: Supporting Iterative UI Design Intent Expression through Structured Specifications and Generative AI
Yunnong Chen, Chengwei Shi, Liuqing Chen
arxiv.org/abs/2509.07334

@arXiv_mathOC_bot@mastoxiv.page
2025-09-11 09:18:33

Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
Yitong He, Pengcheng Xie
arxiv.org/abs/2509.08256 arx…

@arXiv_csSE_bot@mastoxiv.page
2025-06-11 08:37:35

Logic Mining from Process Logs: Towards Automated Specification and Verification
Radoslaw Klimek, Julia Witek
arxiv.org/abs/2506.08628

@Techmeme@techhub.social
2025-07-10 17:50:42

YouTube will remove its Trending page and Trending Now list in favor of category-specific charts, says it better aligns with the way content is discovered now (Aisha Malik/TechCrunch)
techcrunch.com/2025/07/10/yout

@arXiv_eessSP_bot@mastoxiv.page
2025-06-11 08:03:25

Extended Spherical Geometry Algorithm for Spaceborne SAR Processing in Stripmap and TOPS Imaging Modes
Xinhua Mao, Manyi Tao, Jixia Fan
arxiv.org/abs/2506.08620

@jamie@boothcomputing.social
2025-08-10 19:25:14

Table is finished and installed. Mac LC III has FINALLY been moved out of my office.
#woodworking
#retrocomputing

a desk height wooden table with through joinery on the corners.  the finish is a light color oiling.  the table is sitting on the carpet, but there is a door and a wooden parket to the right.
wooden table sitting on the carpet with a 90's vintage Mac LC III and image writer sitting on it.