seanlinehan

appalled
ashamed
asshole
complicit
deplorable
deplore
disgraceful
disgusted
fuck
fucking

seanlinehan

Steve Case
https://twitter.com/SteveCase

Russell Fradin
https://twitter.com/rfradin

Adam D'Augelli
https://twitter.com/adaugelli

William Peng

seanlinehan

def optimize(population, rounds):
    population = sort_population(population)
    # Set our seed set to a pretty good default
    test_set = population[:10]
    # To compare other sets against
    highest_exposure = len(get_intersection(test_set))
    print "Baseline: %d" % highest_exposure
    print "=============="

    for i in range(rounds):

seanlinehan

#!/usr/bin/env python
from __future__ import division
import random, sys, math
from collections import defaultdict

# Convenience
def remove_at_index(l, index):
    return l[:index] + l[index+1:]

def sort_population(population):

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# Limit the list to people who have at least 43 followers in the set
filtered = {
    followed: follower_sets[followed]
    for followed in follower_sets.keys()
    if len(follower_sets[followed]) >= 43
}

seanlinehan

#!/usr/bin/env python
from collections import defaultdict

# Convenience method 
def get_intersection(users):
    # pull out the users' following list
    list_of_follower_lists = map(lambda x: x[1], users)
    # return a list containing the common followers amongst them all
    return set(list_of_follower_lists[0]).intersection(*list_of_follower_lists)

seanlinehan

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import oauth2 # <- pip install oauth2
import time

# Oauth request helper. Mostly copy-pasta from Twitter's docs.
def oauth_req(url, http_method="GET"):
    consumer = oauth2.Consumer(key='YOUR TWITTER API KEY', secret='YOUR TWITTER API SECRET')
    client = oauth2.Client(consumer)

seanlinehan

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json

blob = "[Nuzzel JSON Blob]"
obj = json.loads(blob)

twitter_user_ids = []
# Thanks for calling all these awesome people friends, Nuzzel
for friend in obj['results']['friends']:

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import MySQLdb as mdb
 
## Get the a hash ID from the database
## If it doesn't exist, add it to the database and return the new ID
## value_map is flattened before insertion so any single column should be in the entire dict.
## con (MySQLdb): current MySQLdb connection
## table (string): table name to update
## pk (string): column name of the primary key (id)
## value_map (dict): needs are necessary constraints, needsone are only-one-needed constraints, others are for insert if not exist
    ## { 

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# Returns first occurrence of a key in a multidimensional object
# Haystack can either be a dict or a list, but needle must be
# a dict key name or a list of dict key names

# Example:
# deepObject = {
# 	'Sky': {
# 		'Planes': 2.5,
# 		'Rockets': 3.5,
# 		'Missiles': 3.0,