python FuzzyWuzzy : Levenshtein distance

FuzzyWuzzy is very easy to use. Lets see some example.
All source code available on github

from fuzzywuzzy import fuzz
from fuzzywuzzy import process

print fuzz.ratio("this is a test", "this is a test!") # sample ratio
print fuzz.partial_ratio("this is a test", "this is a test!") # partial ratio
# token sort ratio
print fuzz.token_sort_ratio("fuzzy wuzzy was a bear", "wuzzy fuzzy was a bear")

print "Process"
choices = ["Atlanta Falcons", "New York Jets", "New York Giants", "Dallas Cowboys"]
print process.extract("new york jets", choices, limit=2) # find best two choices
print  process.extractOne("cowboys", choices) # find best choice

Output:

97
100
100
Process
[('New York Jets', 100), ('New York Giants', 79)]
('Dallas Cowboys', 90)