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Based on our record, FuzzyWuzzy seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
I used fuzzywuzzy , a python-based fuzzy string matching calculator that is based on Levenshtein's edit-distance for a parking enforcement product I built. The product used an iOS client to capture license plates. The app would capture a single plate many times, de-duplicate using an edit-distance threshold matching plates up to a time period lookback. Then among those plates, send the one with the highest... - Source: Hacker News / about 2 months ago
Probably something as simple as loading it into the memory then calculating Damerau–Levenshtein distance for each pair and setting some threshold below which records are considered duplicates. If you want some more fancy similarities calculator, Python is probably better equipped in terms of ready-made libraries. - Source: Reddit / 3 months ago
FuzzyWuzzy has an easy-to-use implementation: https://github.com/seatgeek/fuzzywuzzy. - Source: Reddit / 4 months ago
After the above process, I was left to deal with minor differences in author names, like initials, spacing, typos, etc. There were too many entries to adjust manually, so I used fuzzywuzzy to determine if two entries were close enough. This trick would fail with authors, say R.J. Barker and R.J. Parker but I didn't find such entries during a sample manual sanity check from these groupings. - Source: Reddit / 4 months ago
Iterate separately over the two files, get the single DNA in a variable and the 180 in a list (make sure they are stored as string). You can use fuzzywuzzy to get the most similar match. - Source: Reddit / 4 months ago
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