Mike Lee Williams mikepqr

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If you ask people where they go when they really need to get work done, very few will respond “the office.” If they do say the office, they’ll include a qualifier such as “super early in the morning before anyone gets in” or “I stay late at night after everyone’s left” or “I sneak in on the weekend.”

A busy office is like a food processor—it chops your day into tiny bits. Fifteen minutes here, ten minutes there, twenty here, five there.

The big transition with a distributed workforce is going from synchronous to asynchronous collaboration. Not only do we not have to be in the same spot to work together, we also don’t have to work at the same time to work together.

At first, giving up seeing your coworkers in person every day might come as a relief (if you’re an introvert), but eventually you’re likely to feel a loss. Even with the substitutes we’ll discuss, there are times when nothing beats talking to your manager in person or sitting in a room with your colleagues, brainstorming the next big thing.

Your

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Pycon 2017

https://www.youtube.com/channel/UCrJhliKNQ8g0qoE_zvL8eVg/feed

Talks 👍

Miguel Grinberg Asynchronous Python for the Complete Beginner PyCon 2017 - extremely clear conceptual introduction to concurrency (great central metaphor)

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	import random
	from collections import defaultdict


	class circle(list):
	'''Circular list, i.e.
	>>> c = circle([1,2,3])
	>>> c[0], c[3], c[7]
	(1, 1, 2)
	'''

	# !wget http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip
	# !unzip trainingandtestdata.zip
	# !pip3 install joblib sklearn

	import pandas as pd
	import joblib

	from sklearn.model_selection import train_test_split
	from sklearn.feature_extraction.text import CountVectorizer
	from sklearn.feature_selection import SelectKBest, chi2

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