title: Parsing Multiple CSV (.txt) Files in Python
body: <p>I am trying to set up a system where a user can log into the web interface and track orders that have been placed. The system will track the orders from their initial confirmation, through production and finally stop before shipping. (As my wife explained it: "Like the Domino's Pizza order tracker, but for business cards.") I am stuck at a point where I need to parse data from an ever-changing directory of comma delimited .txt files. Each order that is placed automatically generates it's own .txt file with all sorts of important information that I will display on the web interface. For example:</p>
  
  <p>H39TZ3.txt:  </p>
  
  <pre><code>token,tag,prodcode,qty          #(These are the headers)
  ,H39TZ3,pchd_4stpff,,100        #(These are the corresponding values for part 1 of the order)
  ,H39TZ3,pchdn_8ststts,6420-PCNM8ST,100   #(These are values for part 2 of the order)
  </code></pre>
  
  <p>There are going to be upwards of 300 different .txt files in the directory at any given time and the files will come and go based on their order status (once shipped, the files will be archived) I have read up on code to parse an individual file and import the values into a dictionary, but everything I've found is for a single file. How would I go about writing something like this, only for multiple files?</p>
  
  <pre><code>import csv
  
  d = {}
  
  for row in csv.reader(open('H39TZ3.txt')):
      d['Order %s' % row[1]] = {'tag': row[1], 'prodcode': row[2], 'qty': row[3]}
  </code></pre>
  
  <p>Thanks!</p>