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Matheus Frata mfrata

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@larsmans
larsmans / hellinger.py
Created July 15, 2012 13:25
Hellinger distance for discrete probability distributions in Python
"""
Three ways of computing the Hellinger distance between two discrete
probability distributions using NumPy and SciPy.
"""
import numpy as np
from scipy.linalg import norm
from scipy.spatial.distance import euclidean
@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active April 3, 2025 19:23
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@chitchcock
chitchcock / 20111011_SteveYeggeGooglePlatformRant.md
Created October 12, 2011 15:53
Stevey's Google Platforms Rant

Stevey's Google Platforms Rant

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