title: Dead simple example of using Multiprocessing Queue, Pool and Locking
body: <p>I tried to read the documentation at <a href="http://docs.python.org/dev/library/multiprocessing.html" rel="noreferrer">http://docs.python.org/dev/library/multiprocessing.html</a> but I'm  still struggling with multiprocessing Queue, Pool and Locking. And for now I was able to build the example below.</p>
  
  <p>Regarding Queue and Pool, I'm not sure if I understood the concept in the right way, so correct me if I'm wrong.  What I'm trying to achieve is to 
  process 2 requests at time ( data list have 8 in this example ) so, what should I use? Pool to create 2 processes that can handle two different queues ( 2 at max ) or should I just use Queue to process 2 inputs each time? The lock would be to print the outputs correctly.</p>
  
  <pre><code>import multiprocessing
  import time
  
  data = (['a', '2'], ['b', '4'], ['c', '6'], ['d', '8'],
          ['e', '1'], ['f', '3'], ['g', '5'], ['h', '7']
  )
  
  
  def mp_handler(var1):
      for indata in var1:
          p = multiprocessing.Process(target=mp_worker, args=(indata[0], indata[1]))
          p.start()
  
  
  def mp_worker(inputs, the_time):
      print " Processs %s\tWaiting %s seconds" % (inputs, the_time)
      time.sleep(int(the_time))
      print " Process %s\tDONE" % inputs
  
  if __name__ == '__main__':
      mp_handler(data)
  </code></pre>