| #!/bin/sh | |
| ### | |
| # SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer) | |
| # For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos | |
| ### | |
| # Alot of these configs have been taken from the various places | |
| # on the web, most from here | |
| # https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx |
This is a d3.js visualization of US zip codes.
Original zip code dataset from Geocommons.
5MB shapefile with properties such as zipcode, state, name, population, area, more.
http://geocommons.com/overlays/54893 (Thank you Bill Greer)
This converts it nicely:
I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.
I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real
