dagw

would have seen the same rise _eventually_. I know from a friend that worked R&D at a major car company that Tesla really lit a fire under then and 'forced' them to push their own EV experiments from proof of concepts to commercial product much faster than they where originally thinking about doing it.

Only if the camera is angled in such a way that it only sees your property. A door bell camera that can also see the public road in front your house for example is technically not allowed, even if most people ignore that rule.

Nothing is stopping you. I've published papers and presented at academic conferences while working in industry. Both in collaboration with academics and without.

We definitely should allow that for MBA students, since that will most closely mirror what they'll be doing once they get into the work force.

Knowing what the answer is supposed to be makes it much easier to reverse engineer the workings, and it lets you double check that your workings are correct. Also many of the more advanced graphing calculators (don't know the TI-89 specifically) have build in CAS systems and can do symbolic differentiation and as such help with showing your workings as well.

Plus the fact that these calculators let you store arbitrary data, so you can have your entire textbook stored in memory if you wanted.

As someone with a 96+% 'failure' rate on Udemy/Coursera I honestly don't see the relevance of this statistic. Most people going to University are there primarily because they want/need the degree. That piece of paper is really valuable, perhaps even more so than the knowledge gained. The piece of 'paper' offered by Coursera/Udemy etc. has basically zero value, so the people taking those courses are doing it almost exclusively for the knowledge they offer. Once you've learned what you wanted to learn from the course there is very little incentive to go the extra mile and go for the 'completion'.

That doesn't change the fact that very many apps are in fact that slow that it does matter.

Most civil engineers don't do a lot of programming, but virtually all civil engineering companies have people on staff that program. Mostly for developing custom and project specific tools and plugins for the software they use.

For what it's worth I know several people in various roles at various aviation companies big and small, and everybody uses C++. Second most common language is probably Matlab for simulation and modelling. While a lot of Ada code exists I've never heard of anyone writing new Ada code.

They've apparently written their own web crawler that attempts to infer what language is used based on a bunch of, unspecified, heuristics. I wonder if at least some of the problem is that it is very easy to see if site uses PHP and much harder to see if a site uses a python backend and a such most python using sites just aren't being counted.

Honestly even this is questionable. If a running app gets focus between me asking for the new app to launch and that app actually launching, I probably want the existing app that has focus to keep focus until I actively click on the window of the new app.

Did this happen? And if so in what number. Dealerships got attacked and cars got vandalised, but are there any records of the people driving Teslas being physically attacked?

UK, Norway, Sweden, Germany and France are the systems I'm aware of and they all have different levels of maths you can study at high school. I'd be surprised to learn of any country the offers no options or specialisation before University.

No, I'd say Algebra I isn't an advanced class, but rather the "gatekeeper" class you have to pass to get into the actual "advanced" classes.

Nobody is pro-GIL per se. But a lot of people were pro-No-Single-Threaded-Performance-Desegregation. The first GIL-removal patch was submitted all the way back against python 1.4, and regular attempts have been made ever since, but it wasn't possible to remove the GIL without making the single threaded performance of existing python code worse, so Guido and co. refused to accept them.

At a guess, mostly people who for various reasons aren't allowed to gamble on more 'legit' sites, either because of their age or other local laws and jurisdictions. If you 'need' to gamble and are forbidden to gamble legally, then you will find a way to gamble illegally. Just look at the 'offline' world, before sports gambling became basically legal, lots of people would place bets with very shady operations.

It really isn't, and that is why the install and setup tools are so problematic. They have to hide and overcome a lot of complexity.

Sure, but that's just emigrating. The whole point of the digital nomad lifestyle is to be able to move around on a whim.

Kotlin provides a lot of 'clever' syntactic sugar and features that makes certain things that are quite verbose in Java, nice and compact in Kotlin. It also means that there are many way to achieve the same thing in Kotlin. Once you've learned everything it allows you to do things that would take a lot of Java in much fewer lines of code. But there is also just more 'stuff' to learn in the Kotlin language.

Java is a much simpler language than Kotlin with relatively few features, but this simplicity means you sometimes have to build quite verbose structures to achieve what you want.

So which is 'simpler' very much comes down to how you define 'simple'.

We for example have a whole generation of programmers who have no idea what the difference between a stack and a heap is and know nothing about how memory is allocated. They just assume that creating arbitrarily complex objects and data structures always works and memory never runs out. And they have successful careers, earning good money, delivering useful software. I see no reason why this won't continue.

Wait 20 years.

Even if it is, Google is itself is very international and multilingual, including the literal head of YouTube. They obviously know what the world looks like, and decided to do this anyway.