13 karma · joined March 14, 2017
Not saying non-faang can't have that stress, more just that sometimes the expectations are drastically different and that can feel like a sink or swim thing for people. I'd also say it depends on where you get placed in a faang company, some teams are more dynamic and free wheeling than others which I'm sure plays into it.
I think one distinction is in the lowercase 'm'. Primarily around the left most stroke of the letter where the first arch of the 'm' meets. Neue Haas Grotesk's 'm' has a narrower starting stroke on the arch when it's leaving the first stroke. Whereas Helvetica has a mostly even width arch on the 'm'. This one I'm relatively uncertain on and it could be my monitor but it does seem like there's a mild difference in whatever that nook/cranny is called.
Another spot where I think the differences are apparent are with the lowercase 't'. Helvetica has an almost right angle change in direction on the inside of the base of the 't' whereas Neue Haas is smoother.
I would also look at the lowercase 'a' for differences if you really wanted to see it, Neue's is much curvier on the "belly" of the a.
Sorry if these aren't the right words, not entirely sure what to call the "parts" of a character in a font.
In terms of things similar to numpy there's Accord.NET which is a very solid library but as far as I know, it's really the only mature/common one used.
Another thing is that .NET more or less focuses on traditional software development which I think can be considered cumbersome to work with if you're trying to test stuff quickly.
Little disclaimer, I'm not a data scientist but these are things I've noticed while deving with .NET so I'm not sure how much they actually apply to the day to day for a data scientist.
Is this accurate? I feel like more people look to Musk than Bezos. However, I realize I have a sheltered "internet only" view, so pardon my ignorance.
Also, lainchan.org is pretty top tier if you want a more tech oriented chan.