107 karma · joined July 25, 2020
If you were just coding physics problems you could have types restricted to the physics domain, that is, physical units. Which it looks like MATLAB does now support: https://www.mathworks.com/help/symbolic/units-of-measurement...
If you think about it, when you solve a physics problem, for instance, you call every mass “m1”, “m2”, etc. Maybe this would be another step in Go’s direction of conforming style to make code more standard and readable.
The problem is that between two equally qualified candidates, if one has a record and the other is clean, it can be pretty easy to justify just throwing the first one out. And pretty hard to prove that that’s why you were rejected.
https://engineering.purdue.edu/ENE/News/the-stem-paradox-why...
But for Boston College, Boston University, or Northeastern? You’re probably going to end up paying more than MIT and get an education that’s indistinguishable from UMass, quite possibly worse in some respects.
What people have been saying in this thread is not incorrect (though should be nuanced): the ivy leagues are worth it for the caliber of the student body and reputation; otherwise, go to a (Tier 1) public school.
Unless, of course, you don’t want to and can easily afford otherwise.
This is different than people blithely spouting “it’s not my job to educate you” when asked to give some support for their controversial, unsubstantiated claim.
Sorry to intrude on this unrelated thread but it's the only way to get in touch with you.
I'm willing to concede that Amazon may well have driven overall consumption up. Also, anything being shipped by air is causing way more emissions by weight than any amount of people driving to the stars. But I still wonder how this balances out against the efficiency of a delivery van; I don't think the answer is that obvious.
Interesting—do you mind expanding on this?
> These are different companies, some of which have strikingly different business models. And the orders omit other companies engaged in business practices similar to recipients, for example, Apple, Gab, GroupMe, LinkedIn, Parler, Rumble, and Tumblr, not to mention other firms the data practices of which have drawn significant government concern, like WeChat. The only plausible benefit to drawing the lines the Commission has is targeting a number of high profile companies and, by limiting the number to nine, avoiding the review process required under the Paperwork Reduction Act, which is not triggered if fewer than ten entities are subject to requests.