Eyad Sibai eyadsibai

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

Fetching lyrics in the command line

Objective: Print the lyrics for the current playing song.

How: We'll create a small bash script to do the fetching for us (using curl) and then we'll display it either in the terminal or in our $EDITOR

Get the current song

First we'll need to get the name of the current song and its artist:

	#!/usr/bin/env python
	"""
	Check that a particular email address exists.
	Adam Blinkinsop <[email protected]>

	WARNING:
	Checking email addresses in this way is not recommended, and will lead to
	your site being listed in RBLs as a source of abusive traffic. Mail server
	admins do like it when they get connections that don't result in email being
	sent, because spammers often use this technique to verify email addresses.

	#!/usr/bin/python
	"""
	Run python checkerboards.py

	Example from:
	M. Hein (2009). Binary Classification under Sample Selection Bias, In Dataset Shift in Machine Learning, chap. 3, pp. 41-64. The MIT Press.
	"""

	from __future__ import division
	import matplotlib

	#Code to re-create John Hussman's Recession warning index
	#http://www.hussmanfunds.com/wmc/wmc110801.htm
	#R code by Zach Mayer

	rm(list = ls(all = TRUE)) #CLEAR WORKSPACE
	library(quantmod)

	#################################################
	# 1. Credit spreads
	#################################################

	DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
	Version 2, December 2004

	Copyright (C) 2011 Mathieu 'p01' Henri - http://www.p01.org/releases/

	Everyone is permitted to copy and distribute verbatim or modified
	copies of this license document, and changing it is allowed as long
	as the name is changed.

	DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE

	#~/.mutt/aliases
	alias nick Nicholas Levandoski <[email protected]>
	alias tim Timothy Pitt <[email protected]>
	alias steven Steven Jackson <[email protected]>
	alias kaleb Kaleb Hornsby <[email protected]>
	alias alug-admin nick, tim, steven


	# coding: utf-8

	"""Online learning."""

	import numpy as np
	from numpy import sign
	import itertools as it
	from numpy import array as A, zeros as Z
	import math

	# Copyright Mathieu Blondel December 2011
	# License: BSD 3 clause

	import numpy as np
	import pylab as pl

	from sklearn.base import BaseEstimator
	from sklearn.utils import check_random_state
	from sklearn.cluster import MiniBatchKMeans
	from sklearn.cluster import KMeans as KMeansGood

	cor(iris[-5])
	pairs(iris[-5], bg=iris$Species, pch=21)