Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.
This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would
Permalink: git.io/vps
| Provider | Type | RAM | Cores | Storage | Transfer | Network | Price |
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FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
| #!/bin/bash | |
| # Bash script to install latest version of ffmpeg and its dependencies on Ubuntu 12.04 or 14.04 | |
| # Inspired from https://gist.github.com/faleev/3435377 | |
| # Remove any existing packages: | |
| sudo apt-get -y remove ffmpeg x264 libav-tools libvpx-dev libx264-dev | |
| # Get the dependencies (Ubuntu Server or headless users): | |
| sudo apt-get update |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)That's it!
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
| import os | |
| def split(filehandler, delimiter=',', row_limit=10000, | |
| output_name_template='output_%s.csv', output_path='.', keep_headers=True): | |
| """ | |
| Splits a CSV file into multiple pieces. | |
| A quick bastardization of the Python CSV library. | |
| Arguments: |