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davidinosauro

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In particular from the article I was confused by this:

NumPy doesn’t offer a way to store data outside of the array buffer—there’s no concept of “sidecar storage” in NumPy.

But then it goes on and say to he strings are stored on the heap (which clearly is also possible with dtype=object) with an arena allocator. Reading the NEP now

Late at the party as a reader of /front, but as an Italian that moved abroad I wouldn't change my Moka pot for anything else.

- Small

- Can get consistently good coffee

It does need to change the rubber and a clean with vinegar every once in a while (6-12 months or so?)

I do like the Nespresso-like pods things -- very convenient but:

- Results in waste that is hard to recycle

- Takes up precious room on the counter-top

On the theme of alternatives, I've been using https://www.followthatpage.com/ on and off for years. In particular for my partner's job hunt, watching some local trade association billboards or single school's `/jobs.html` pages.

Also has a reasonable free plan for personal use (20 pages daily + 20 pages weekly + 1 page hourly).

Definitely much simpler in terms of diffing (only text), but it has this 2000s vibe.

I also tried a similar setup (with gphoto2 getting the stream of jpegs, ffmpeg, loopback device) but the deal breakers for me we're:

- high latency: in the half-second range, consistently out of sync with the audio - bulkiness: I had to place the camera on the side of the screen rather than on top, so I consistently looked away from the camera

With that experience I didn't find it worth to upgrade the setup (with mini HDMI cable, capture card, power supply) and ended up buying a crappy webcam instead

Are you referring to "US International with AltGr dead keys"? I use it too for programming, English text and sporadic Italian text -- so I'm not annoyed by the dead keys unless I actively look for them.

FWIW, growing up in Italy I have the same complaint as the OP about not being able to type È in the italian keyboard -- it comes up somewhat often in prose.

My only complaint is that I occasionally write to colleagues named Paweł or Michał which are not typable

At least in my experience, I don't see a lot of trouble with number vs string in CSV data.

I definitely had my fair share of trouble with locale-defined number format. Importing a column where a thousand is spelled "1.000", any integer between 1000 and 999999 would be wrongly parsed as a float between 1 and 999, while for any other number (like "0,1" for one tenth, "1.000.000" for a million, "1.000,56" for a thousand euros and change) the parser would give up and keep the string.

I usually have had more luck importing as text, then doing some string replacement of separators before finally converting to number.

Personally, I find that you can get very good results with an electric oven, which is great because you use it indoors (my granddad had one that is now sitting at my parents'). However, a wood-fired oven will give that great smoky bit to the pizza and in my experience tends to be a bit dryer (the one I have now is from uuni)