According to local news reports, all three victims were detainees. FBI Director Kash Patel confirmed no law enforcement officers were injured, and suggested he believed the motive was political:

While the investigation is ongoing, an initial review of the evidence shows an idealogical (sic.) motive behind this attack … One of the unspent shell casings recovered was engraved with the phrase ‘ANTI ICE.’

Huh, don’t know how to interpret that.

Following Wednesday’s shooting, Department of Homeland Security Secretary Kristi Noem pointed blame for the incident on rhetoric from the far-left: “For months, we’ve been warning politicians and the media to tone down their rhetoric about ICE law enforcement before someone was killed. These horrendous killings must serve as a wake-up call to the far-left that their rhetoric about ICE has consequences. Comparing ICE Day-in and day-out to the Nazi Gestapo, the Secret Police, and slave patrols has consequences.”

Or, you know, acting like the gestapo has consequences.

At least it enhances every day value for the customer!

Ugh.

I think the suggestion to just stitch around it is probably sufficient, but an earlier post in this community pointed me to using a speedweve to basically weave a little patch in-place, picking up stitches around all the sides to sew it onto the mended garment. Looks pretty cool if you want to go to that much effort.

(Edit: Video with clearer instructions, also demos on non-hand-knit fabric.)

They’re fun, and pretty quick turnaround. Good luck!

I made a couple shapes, some with red bean paste and some plain:

Proved and ready to stream (10m steaming + 3 rest as in the recipe):

100 coins in the clock was probably my toughest of the 120 stars.

Should’ve done that. Their password reset link did not work, had to sign in and find the password change settings myself. And now they require special character / caps / etc.

Better South Korea than a concentration camp, but all these headlines calling it “home” is misleading, their homes are presumably near their workplace.

Misleading title, “flown home” actually means taken “to South Korea on a chartered flight”.

Use polars, or some framework that’s been built with performance from the start?

I have optimized pandas notebooks before, but it seems a bit like a foundation of sand.

plus a GPU-powered drop-in accelerator, cudf.pandas, that delivers order-of-magnitude speedups with no code changes.

Don’t have a GPU on your machine? No problem—you can use cudf.pandas for free in Google Colab, where GPUs are available and the library comes pre-installed.

Ah, I see why NVIDIA is writing about it.