So the endorsement ban publicized their stance even more widely. I don’t even know whom any other newspaper endorsed.
So the endorsement ban publicized their stance even more widely. I don’t even know whom any other newspaper endorsed.
A rare shot showing sandworms forming a pattern known as OwO.
This is a triumph. I’m making a note here, “HUGE SUCCESS”.
Unless you do something special depending on the day (like going to church on Sundays), aren’t the two options the same? They are both 4 up 3 down periods.
Haha, but it’s really a pack of tools, more like a toolbox.
Now don’t look at the lamp next to your sofa too closely.
// TODO: Leave the code cleaner than you found
In recent git versions (>2.23), git restore
and git restore --staged
are the preferred ways to discard changes in the working tree (git checkout -- .
) and staged changes (git reset --
) respectively.
My point today is that, if we wish to count lines of code, we should not regard them as “lines produced” but as “lines spent”: the current conventional wisdom is so foolish as to book that count on the wrong side of the ledger.
——On the cruelty of really teaching computing science - E.W. Djikstra
Yeah, I mean platforms accessible without so many hoops to jump through.
It’s believed that Glassdoor’s business model is to charge companies for removing bad reviews. So how much value can the rating provide is questionable in the first place.
Personally, for big companies, there are always people writing their work experiences on an open platform. For small companies, it’s unlikely to find a relevant review, if any, on Glassdoor anyway. So I never bothered to use it.
If you are looking at learning CS in a more holistic manner, there’s Path to a free self-taught education in Computer Science!. It’s a list of courses, categorized by topics, which are exactly what a CS undergraduate would learn. It might feel daunting at first, but you can pick any interesting topic and dive in.
I especially recommend CS50P for beginners.
The true fediverse: in JPEG we trust.
One problem with exceptions is composability.
You have to rely on good and up-to-date documentation or you have to dig into the source code to figure out what exceptions are possible. For a lot of third party dependencies (which constitute a huge part of modern software), both can be missing.
Error type is a mitigation, but you are free to e.g. panic in Rust if you think the error is unrecoverable.
A third option is to have effect types like Koka, so that all possible exceptions (or effects) can be checked at type level. A similar approach can be observed in practical (read: non-academic) languages like Zig. It remains to be seen whether this style can be adopted by the mainstream.
Bingo!
The paper only says it’s a collaboration. It’s pretty large scale, so the opportunity might be rare. There’s a chance that (the same or other) researchers will follow up and experiment in more schools.
The interviews revealed that data scientists sometimes get distracted by the latest developments in AI and implement them in their projects without looking at the value that it will deliver.
At least part of this is due to resume-oriented development.
Life Pro Tip: trace the writing and you’ll know
Sorry I wasn’t being clear. AC is used for connecting within areas of densely populated cities, e.g. British National Grid. If we are talking about really long distances (> hundreds of kilometers), HVDC is indeed preferred.
I was talking about a trend of some factories replacing AC from power grids (possibility generated in nearby cities) with DC from solar panels on their rooftops. So it’s a long distance compared to that.
Happy [object Object] birthday!