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@playinprogress@assemblag.es
2025-06-12 06:08:35

#photography #bloomScrolling #red

horizontal closeup of three deep red poppy flowers against a light background, illuminated by diffuse daylight from behind
horizontal closeup of three deep red poppy flowers against a light background, illuminated by diffuse daylight from behind, with one of them taking up most of the picture space and showing its black inner markings
horizontal closeup of two deep red poppy flowers, illuminated by diffuse daylight from the left, with the left one showing its dark patterned insides
closeup of two deep red poppy flowers illuminated by diffuse daylight against a vague grey background, with the image focusing on the foremost edges of the petals closest to the camera
@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.
@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

@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.
@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…

@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_csLO_bot@mastoxiv.page
2025-08-12 08:29:53

A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Bases
Meghyn Bienvenu, Camille Bourgaux, Katsumi Inoue, Robin Jean
arxiv.org/abs/2508.07742

@arXiv_csPL_bot@mastoxiv.page
2025-09-12 07:57:29

Dependent-Type-Preserving Memory Allocation
Paulette Koronkevich, William J. Bowman
arxiv.org/abs/2509.09059 arxiv.org/pdf/2509.09059

@hynek@mastodon.social
2025-07-12 09:49:42

ep2025.europython.eu/session/w

Ralph Wiggum *chuckles* I’m in danger.
@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.