I did one project last week. The project is mainly about text mining, comparing the similarity between two strings.
And I used Python's difflib.SequenceMatcher to do the similarity comparison. It took around 120 mins to finish a 400M times computations.
And after I switched to Levenshtein method on Python, it only took 30 mins to finish the same amount of computation.
I was told Levenshtein used C to do the computation and difflib.SequenceMatcher used Python to do the computation. So Levenshtein is much faster.
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