In [21]:

    

import os
from twython import Twython
import ConfigParser
import random
import bitlyapi
from IPython.core.display import HTML


    

In [4]:

    

propertiesFile = "my.properties"
cp = ConfigParser.ConfigParser()
cp.readfp(open(propertiesFile))

APP_KEY            = cp.get('Params', 'app_key')
APP_SECRET         = cp.get('Params', 'app_secret')
OAUTH_TOKEN        = cp.get('Params', 'oauth_token')
OAUTH_TOKEN_SECRET = cp.get('Params', 'oauth_token_secret')

twitter = Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET)


    

In [5]:

    

# GET ALL ENTRIES

search = twitter.search(q='#WinDSBook')


    

In [7]:

    

tweets=search['statuses']


    

In [12]:

    

f = open('/dev/random', 'rb')
truerandom = f.read(1)
f.close()


    

In [13]:

    

map(bin, bytearray(truerandom))


    

    
Out[13]:





['0b11000001']

In [14]:

    

# TEST RUN
i = random.randint(0, len(tweets))


    

In [15]:

    

i


    

    
Out[15]:





2

In [16]:

    

winner = tweets[i]


    

In [19]:

    

print winner['user']['name']
print winner['user']['screen_name']
print winner['user']['location']


    

    




Adam Jay
01AdamJay
Miami Beach, FL

In [22]:

    

HTML(Twython.html_for_tweet(winner))


    

    
Out[22]:




I reviewed an item on @DataSciGuide to enter the @DataSkeptic book giveaway! #WinDSBook Check out my review here: datasciguide.com/content/becomi…

In [25]:

    

winner['entities']['urls']


    

    
Out[25]:





[{u'display_url': u'datasciguide.com/content/becomi\u2026',
  u'expanded_url': u'http://www.datasciguide.com/content/becoming-a-data-scientist/',
  u'indices': [114, 137],
  u'url': u'https://t.co/Pa1mlspYFA'}]