title: Working with dates in pandas
body: <p>I have been collecting Twitter data for a couple of days now and, among other things, I need to analyze how content propagates. I created a list of timestamps when users were interested in content and imported twitter timestamps in pandas df with the column name 'timestamps'. It looks like this:</p>
  
  <pre><code>0     Sat Dec 14 05:13:28 +0000 2013
  1     Sat Dec 14 05:21:12 +0000 2013
  2     Sat Dec 14 05:23:10 +0000 2013
  3     Sat Dec 14 05:27:54 +0000 2013
  4     Sat Dec 14 05:37:43 +0000 2013
  5     Sat Dec 14 05:39:38 +0000 2013
  6     Sat Dec 14 05:41:39 +0000 2013
  7     Sat Dec 14 05:43:46 +0000 2013
  8     Sat Dec 14 05:44:50 +0000 2013
  9     Sat Dec 14 05:47:33 +0000 2013
  10    Sat Dec 14 05:49:29 +0000 2013
  11    Sat Dec 14 05:55:03 +0000 2013
  12    Sat Dec 14 05:59:09 +0000 2013
  13    Sat Dec 14 05:59:45 +0000 2013
  14    Sat Dec 14 06:17:19 +0000 2013
  </code></pre>
  
  <p>etc. What I want to do is to sample every 10min and count how many users are interested in content in each time frame. My problem is that I have no clue how to process the timestamps I imported from Twitter. Should I use regular expressions or is there any better approach to this? I would appreciate if someone could provide some pointers. Thanks!</p>