suissemaxx

This gist contains lists of modules available in

Python 3.10
Python 3.9
Python 3.8
Python 3.7
Python 3.6
Python 2.7

in AWS Lambda.

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

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

	#!/usr/bin/env python
	from __future__ import print_function, division
	import argparse
	import json
	import sys
	from gzip import GzipFile


	def concat_claims(claims):
	for rel_id, rel_claims in claims.iteritems():

	from __future__ import division
	from numpy.fft import rfft
	from numpy import argmax, mean, diff, log, nonzero
	from scipy.signal import blackmanharris, correlate
	from time import time
	import sys
	try:
	import soundfile as sf
	except ImportError:
	from scikits.audiolab import flacread