Projects that require approximate string matching, such as natural language processing applications, data cleaning tasks, and developing user input systems where flexibility in matching is beneficial.
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Based on our record, GitHub Desktop seems to be a lot more popular than FuzzyWuzzy. While we know about 135 links to GitHub Desktop, we've tracked only 11 mentions of FuzzyWuzzy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Download the latest version from the GitHub Desktop website. - Source: dev.to / 5 months ago
I’m not going to dive into Git commands here — you can find plenty of tutorials online. If you’re not a fan of using the plain terminal CLI, you can also manage repositories with tools like GitHub Desktop or SourceTree, which provide a more visual, intuitive interface. - Source: dev.to / 7 months ago
Using terminal commands isn’t necessary for basic adoption of Git with Corticon Studio files, though. There are various tools that will allow us to bypass the command line when defining rules, including the built-in Eclipse plugin for Git version control. If you’ll be storing your assets on GitHub, though, an even easier solution is GitHub Desktop, a free desktop software that GitHub offers. It can be used in... - Source: dev.to / 8 months ago
Nix currently is akin to git's "porcelain": powerful but esoteric. However, much like git evolved into exoteric, user-friendly tools such as git-flow, GitHub Desktop, and Tower to become user-friendly, many developers are building abstractions, wrappers, and utilities to simplify Nix usage. Let's briefly look at a few of these tools now. - Source: dev.to / 9 months ago
1.Download the github desktop. 2.Open the first contribution repository. 3.Open the github app and clone the repository. - Source: dev.to / 11 months ago
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. Source: over 2 years ago
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. Source: over 2 years ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 3 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 3 years ago
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. Source: almost 4 years ago
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SourceTree - Mac and Windows client for Mercurial and Git.
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SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
Google Cloud Natural Language API - Natural language API using Google machine learning