import threading
    import datetime
    
    class ThreadClass(threading.Thread):
     def run(self):
      now = datetime.datetime.now()
      print "%s says Hello World at time: %s" % 
      (self.getName(), now)
    
    for i in range(2):
     t = ThreadClass()
     t.start()

   # python hello_threads.py 
   Thread-1 says Hello World at time: 2008-05-13 13:22:50.252069
   Thread-2 says Hello World at time: 2008-05-13 13:22:50.252576

    import urllib2
    import time
    
    hosts = ["http://yahoo.com", "http://google.com", "http://amazon.com",
    "http://ibm.com", "http://apple.com"]
    
    start = time.time()
    #grabs urls of hosts and prints first 1024 bytes of page
    for host in hosts:
     url = urllib2.urlopen(host)
     print url.read(1024)
    
    print "Elapsed Time: %s" % (time.time() - start)

    Elapsed Time: 2.40353488922

     #!/usr/bin/env python
     import Queue
     import threading
     import urllib2
     import time
     
     hosts = ["http://yahoo.com", "http://google.com", "http://amazon.com",
     "http://ibm.com", "http://apple.com"]
     
     queue = Queue.Queue()
     
     class ThreadUrl(threading.Thread):
     """Threaded Url Grab"""
      def __init__(self, queue):
       threading.Thread.__init__(self)
       self.queue = queue
     
      def run(self):
       while True:
        #grabs host from queue
        host = self.queue.get()
      
        #grabs urls of hosts and prints first 1024 bytes of page
        url = urllib2.urlopen(host)
        print url.read(1024)
      
        #signals to queue job is done
        self.queue.task_done()
     
     start = time.time()
     def main():
     
      #spawn a pool of threads, and pass them queue instance 
      for i in range(5):
       t = ThreadUrl(queue)
       t.setDaemon(True)
       t.start()
       
      #populate queue with data  
       for host in hosts:
        queue.put(host)
      
      #wait on the queue until everything has been processed   
      queue.join()
     
     main()
     print "Elapsed Time: %s" % (time.time() - start)

import Queue
import threading
import urllib2
import time
from BeautifulSoup import BeautifulSoup

hosts = ["http://yahoo.com", "http://google.com", "http://amazon.com",
    "http://ibm.com", "http://apple.com"]

queue = Queue.Queue()
out_queue = Queue.Queue()

class ThreadUrl(threading.Thread):
  """Threaded Url Grab"""
  def __init__(self, queue, out_queue):
    threading.Thread.__init__(self)
    self.queue = queue
    self.out_queue = out_queue

  def run(self):
    while True:
      #grabs host from queue
      host = self.queue.get()

      #grabs urls of hosts and then grabs chunk of webpage
      url = urllib2.urlopen(host)
      chunk = url.read()

      #place chunk into out queue
      self.out_queue.put(chunk)

      #signals to queue job is done
      self.queue.task_done()

class DatamineThread(threading.Thread):
  """Threaded Url Grab"""
  def __init__(self, out_queue):
    threading.Thread.__init__(self)
    self.out_queue = out_queue

  def run(self):
    while True:
      #grabs host from queue
      chunk = self.out_queue.get()

      #parse the chunk
      soup = BeautifulSoup(chunk)
      print soup.findAll(['title'])

      #signals to queue job is done
      self.out_queue.task_done()

start = time.time()
def main():

  #spawn a pool of threads, and pass them queue instance
  for i in range(5):
    t = ThreadUrl(queue, out_queue)
    t.setDaemon(True)
    t.start()

  #populate queue with data
  for host in hosts:
    queue.put(host)

  for i in range(5):
    dt = DatamineThread(out_queue)
    dt.setDaemon(True)
    dt.start()


  #wait on the queue until everything has been processed
  queue.join()
  out_queue.join()

main()
print "Elapsed Time: %s" % (time.time() - start)

 # python url_fetch_threaded_part2.py 

 [<title>Google</title>]
 [<title>Yahoo!</title>]
 [<title>Apple</title>]
 [<title>IBM United States</title>]
 [<title>Amazon.com: Online Shopping for Electronics, Apparel,
 Computers, Books, DVDs & more</title>]
 Elapsed Time: 3.75387597084