That is not quite what raghavtoshniwal meant now is it?
The key word is "compounding", surely.
For example, I think young children need a few good ways to be taught about managing and understanding very large numbers, about combinational explosion, precision and estimation; essential in today's world.
I think kids from about seven or eight should be taught things about tree structures (decision trees, classification trees, parts diagram enclosures) but also about fractals -- about measuring coastlines, etc.; perhaps even show them Cantor's Comb.
They could be shown the liquid-nitrogen potato experiment to help them understand power series in future.
I feel 2020 taught us that young people need to be taught about the rice-on-chessboard problem, about the Small World experiment, etc.
There are good few kid-friendly ways to teach concepts like this which compound in building understanding that current adults do not have.
Kids in the UK are already taught some quite innovative ways to estimate, multiply and divide; maths has changed a bit since I was a kid. But there's a long way to go.
Maybe UK kids are smarter, but I feel like fractals are a lot for 7 to 8. Maybe 10 or 11? At least let them know how decimals work first, otherwise fractal dimension wouldn't even make sense.
Just to add when I mean fractals at 7 and 8, I don't mean the hard maths or the programming, for sure.
But some ways to imagine the context of the hard maths.
Like how to recognise fractals (or just self-similarity) in nature, or explore drawing some by hand, that is a really crucial thing that a seven or eight year old should be introduced to. Why are leaves like trees? Why is broccoli simpler than it looks? River deltas, snowflakes, you know...
Kids are shown lots of these things -- and they often notice self-similarity without prompting -- without being told that there is a unifying theory. The unifying theory is amazing in and of itself, and can be demonstrated with a Logo turtle.
(Which brings me onto another thing... where the heck are all the logo turtles)
There's a long and broad tradition in the UK of the "Christmas Lecture" now (started with the Royal Society which is televised; it's what a TED talk is, but better). All-ages family learning, made fun and accessible.
I assume the parent comment was talking about the context of computations where numba is supposed to be a drop-in for wherever numpy is used.
And I agree that it's not actually usable everywhere, since the support for numpy's feature set is actually quite limited, especially around multidimensional arrays. I had to effectively rewrite my logic to make use of numba. Still it is pretty worth it imo, given how it can add parallelism for free. And conforming to numbas allowed subset of numpy usually results in simpler and more efficient code. In my case I ended up having to work around the lack of support for multidimensional arrays but ended up with a more efficient solution relying on low dimensional arrays being broadcasted, reducing a lot of duplicate computations
I usually format it this way. I like the scissors, though. Interesting.
> "He’s a really good programmer, but that’s not why his solutions were better. Since he didn’t have suggestions to guide him, he read the docs and by simply perusing them, was aware of methods and other features that the IDE did not suggest. There were better ways in the libraries they were using that weren’t apparent in the IDE. And that makes sense: in the interface for a suggestion in an editor, how much complexity can you really manage?"
Me acknowledging that I’m squarely in the demographic that needs to be very aware of how easy it is to attribute success to hard work rather than privilege makes me any kind of prejudiced?
I’ve got the same tribalism firmware as any other homo sapien, and I’ve probably said some xenophobic shit in my life without even realizing it.
But I try hard to make my way on my code rather than being 6’4”, a lean 230 and conventionally handsome, I think that’s a lame way to make a living no matter what it pays, unless one is a professional athlete or a model or something. I’d probably need to tweak my body fat percentage by as much as 10% to have the same superficial stats as an NFL half back, but I’d rather embrace my inner nerd, which feels more natural.
If you want to read about it, we’ll I post under my real name and Chaos Monkeys won a bunch of awards a few years ago.
How many of these artists had seen an elephant in real life. How many were drawing it from descriptions (e.g. fan like ears. ribbed long arm like nose, large feet could describe some early drawings)
Good point, it's just an average. And to be fair i checked the numbers in the article it seemed closer to 3.2TB/day which is closer to 300Mbit/s. But what i meant is a home fiber connection can deal with that. Although consumer ISPs don't have good bandwidth over all routes (it's good to Youtube/Amazon but ridiculously slow to some other consumer ISPs). If you don't want to serve from home, i'm sure many entities would be happy to donate disk space and bandwidth to help a project like this, setting up a mirror list like we have for distro repositories.
Also, we may be taking the problem the wrong way around: do these multigig files need to be accessed by everyone from a web browser? No, it's a dump file used by specific people in specific circumstances. Then why are we using HTTP for this in the first place? In this case, only publishing over Bittorrent/IPFS makes sense and many people will happily seed, pushing costs toward 0 for the publisher (and very close to 0 if you only push to a first circle of mirrors who can then push to more mirrors, some of which can be declared webseeds in your torrent).
