Pawky
The Python version of awk (by sherlockdoyle)
fuzzywuzzy
Fuzzy String Matching in Python (by seatgeek)
Pawky | fuzzywuzzy | |
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2 | 20 | |
1 | 9,067 | |
- | 0.0% | |
0.0 | 0.0 | |
almost 3 years ago | about 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v2.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Pawky
Posts with mentions or reviews of Pawky.
We have used some of these posts to build our list of alternatives
and similar projects.
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Looking to Print nth Column from STDOUT Using Python One Liner
Shameless self promotion: https://github.com/sherlockdoyle/Pawky
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Pawky: awk in Python
Source here.
fuzzywuzzy
Posts with mentions or reviews of fuzzywuzzy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-24.
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Need help solving a subtitles problem. The logic seems complex
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are.
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Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search.
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Fuzzy search
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy
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import fuzzywuzzy
fuzzywuzzy is actually just called the thefuzz now.
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I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy
- Test if two strings are similar?
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How would you approach this
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100.
- [D] Matching Records that "don't Exactly Match"
- Text Detection
- FuzzyWuzzy: Fuzzy String Matching in Python