This repository contains a Jupyter Lab notebook designed as a lab environment to explore and experiment with the capabilities of the TheFuzz Python library (formerly known as fuzzywuzzy).
TheFuzz provides intuitive and flexible tools for fuzzy string matching, making it useful for approximate string comparisons, data deduplication, and search applications.
Fuzzy string matching is useful when:
- Strings may have typos or inconsistent formatting
- You need to find "close enough" matches instead of exact ones
- You're deduplicating records (e.g., names, addresses) from noisy data
- Basic usage examples of
fuzzandprocessmodules - Experiments with partial ratio, token sort ratio, and token set ratio
- Examples of matching strings against a list of choices
- Clone this repo or open the notebook in Jupyter Lab.
- Explore and modify the examples to understand how fuzzy matching works.
- Try your own datasets or string inputs to see how TheFuzz behaves.
- GitHub: TheFuzz by SeatGeek