>>> import datetime
>>> from pprint import pprint
>>> from yahoo_pynance.core import *
>>>
>>> google = Stock('GOOG')
>>> google
<GOOG: 2013-12-18 18:36:45.409000>
>>>
>>> google.price 
1084.75 
>>> google.price_earnings_growth_ratio 
1.54 
>>>
>>> today = datetime.datetime.today() 
>>> a_few_days_ago = today - datetime.timedelta(days=3) 
>>>
>>> history = google.history(a_few_days_ago, today) # 'yyyy-mm-dd' strings work too
>>> history 
<yahoo_pynance.core.StockHistory object at 0x0000000002D4E390> 
>>>
>>> pprint(history.data) 
{datetime.datetime(2013, 12, 16, 0, 0): {'Adj Close': 1072.98,
                                         'Close': 1072.98,
                                         'High': 1074.69,
                                         'Low': 1062.01,
                                         'Open': 1064.0,
                                         'Volume': 1602000.0},
 datetime.datetime(2013, 12, 17, 0, 0): {'Adj Close': 1069.86,
                                         'Close': 1069.86,
                                         'High': 1080.76,
                                         'Low': 1068.38,
                                         'Open': 1072.82,
                                         'Volume': 1535700.0}} 
>>>
>>> prices = history.prices() # adjusted close
>>> pprint(prices) 
{datetime.datetime(2013, 12, 16, 0, 0): 1072.98,
 datetime.datetime(2013, 12, 17, 0, 0): 1069.86} 
>>> history.prices(as_list=True) 
[1072.98, 1069.86]