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  1. pypi.org › project › fuzzywuzzyfuzzywuzzy · PyPI

    13 de feb. de 2020 · fuzzywuzzy is a package that provides various fuzzy string matching algorithms, such as Levenshtein Distance, token sort, and token set. It can be used for finding similar or matching strings, extracting the best choice from a list, or comparing file paths.

  2. 29 de jun. de 2022 · Learn how to use FuzzyWuzzy, a library for string matching in Python, with examples and code. FuzzyWuzzy uses Levenshtein Distance to calculate the similarity between strings and returns a score out of 100.

  3. Fuzzywuzzy is a Python library for fuzzy string matching, such as finding similar or misspelled words. It has been renamed and moved to TheFuzz, a project with more features and compatibility.

  4. Learn how to use TheFuzz library to perform fuzzy string matching in Python, a technique to identify partially similar strings. See examples of Levenshtein edit distance, ratio, partial ratio, and more.

  5. 16 de mar. de 2023 · Fuzzy string matching is the process of finding strings that approximately match a pattern. FuzzyWuzzy is a Python library that calculates the differences between sequences and patterns.

  6. 13 de nov. de 2020 · Learn how to calculate string similarity with fuzzwuzzy. Minimum edit distance, fuzz.WRatio, fuzz.partial_ration, etc. functions are covered and practice on a real-world data.

  7. 20 de may. de 2020 · Learn how to use FuzzyWuzzy package to find similar ramen brand names in a ramen review dataset. Compare token sort ratio and token set ratio scorers and see examples of similarity percentage.