Filip Krawczyk filipkrw

The introduction to Reactive Programming you've been missing

This tutorial as a series of videos

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.

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

	import itertools

	import numpy as np

	from sklearn.linear_model import SGDClassifier, SGDRanking
	from sklearn import metrics
	from minirank.compat import RankSVM as MinirankSVM
	from scipy import stats

	"""
	Implementation of pairwise ranking using scikit-learn LinearSVC

	Reference: "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich,
	T. Graepel, K. Obermayer.

	Authors: Fabian Pedregosa <[email protected]>
	Alexandre Gramfort <[email protected]>
	"""