gearmonkey

"""
TotC_random_draw.py
An emulator of the random draw process from
Trial of the Clones by Zach Weinersmith
process in the book is to flip to a random page
and using the number in the corner for game
mechanics.
call it like this: 
>python TotC_random_draw.py [number of draws]
then it prints the outcome[s]

gearmonkey

{"response": 
  {"status": 
    {"version": "4.2", 
     "code": 0, 
     "message": "Success"}, 
   "songs": [
     {"audio_summary": 
       {"key": 7, 
        "mode": 1,  
        "time_signature": 4, 

gearmonkey

'''
filter out all the null population entries from the world cites database http://www.maxmind.com/app/worldcities
'''
import csv
with open('worldcitiespop.txt') as fh:
    reader = csv.DictReader(fh)
    cities_pop = [line for line in reader if line['Population']]

#print all the cities in the UK with a population above 200,000
print '\n'.join(['{0}: {1}'.format(entry['City'], entry['Population']) for entry in cities_pop if entry['Country']=='gb' and int(entry['Population']) > 200000])

gearmonkey

#!/usr/bin/env python

from lxml import etree
from urllib import urlopen

if __name__=='__main__':
    
    url = 'http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/schedConf/presentations'
    tree = etree.parse(urlopen(url), etree.HTMLParser())
    

gearmonkey

fetching the conversation at http://www.exquisitetweets.com/collection/RodBegbie/402
Is the conversation a flame war?
	yes
Where's the troll?
	http://twitter.com/JohnONolan/status/63027551760691200
Author: John O'Nolan username: JohnONolan
Now stop feeding the trolls!

gearmonkey

#grab some data from twitter
data = loads(urllib2.urlopen("http://api.twitter.com/1/statuses/show/{0}.json".\
             format(twitter_id)).read())
tweet_content = data["text"]

#push to sentiment analysis
raw_senti = loads(urllib2.urlopen(\
                  "http://apib1.semetric.com/musicmetric/sentiment?token="+\
                  API_KEY, data = tweet_content).read())