Python parallel processing to unzip files

Question

I'm new to parallel processing in python. I have a piece of code below, that walks through all directories and unzips all tar.gz files. However, it takes quite a bit of time.

import tarfile
import gzip
import os

def unziptar(path):
    for root, dirs, files in os.walk(path):
        for i in files:
            fullpath = os.path.join(root, i)
            if i.endswith("tar.gz"):
                print 'extracting... {}'.format(fullpath)
                tar = tarfile.open(fullpath, 'r:gz')
                tar.extractall(root)
                tar.close()

path = 'C://path_to_folder'
unziptar(path)

print 'tar.gz extraction completed'

I have been looking through some posts for multiprocessing and joblib packages but I'm still not v clear how to modify my script to run parallel. Any help is appreciated.

EDIT: @tdelaney

Thanks for the help, the surprising thing is that the modified script took twice the time to unzip everything (60mins compare to 30min with the original script)!

I look at the task manager and it appears that while multi-cores were utilised, the CPU usage is v low. I'm not sure why this is so.