title: What is the shortcut for lists indexing in Python3.5?
body: <p>I want to get the column names so that I can add to the new data frame.</p>
  
  <pre><code>In [241]: cursor.description
  Out[241]: 
  (('a', None, None, None, None, None, None),
   ('b', None, None, None, None, None, None),
   ('c', None, None, None, None, None, None),
   ('d', None, None, None, None, None, None))
  In [242]: rows
  Out[242]: 
  [('Atlanta', 'Georgia', 1.25, 6),
   ('Tallahassee', 'Florida', 2.6, 3),
   ('Sacramento', 'California', 1.7, 5)]
  </code></pre>
  
  <p>I used quite complicated and dull method:</p>
  
  <pre><code>frame = DataFrame(rows, columns = list(cursor.description[i][0] for i in range(len(cursor.description))))
  </code></pre>
  
  <p>Is there a short cut to call the column names? Is it possible to achieve this by using zip()?</p>