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Based on our record, AngularJS should be more popular than FuzzyWuzzy. It has been mentiond 50 times since March 2021. 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.
To maximize learning, I could choose something new. Normally, I consider that a valid reason. But given my limited time, that wasn't a priority for me. Another criterion could be long-term viability: Is there a large core team and an active community? Well, who still remembers AngularJS? From Google? And didn’t Facebook/Meta start Jest? I wouldn’t rely too much on that. - Source: dev.to / 29 days ago
AngularJS is an open-source JavaScript framework that developers use to build frontend applications. It comes with modular support, an extensive community, and all the tools that help develop and manage dynamic frontend web apps. - Source: dev.to / 4 months ago
Ok, what we'll use now is something that existed back in the day, after we switched from AngularJS to Angular 2 or modern Angular. We'll use the old/new host property on the component decorator. - Source: dev.to / 10 months ago
Just to give you more context, I led the migration of several AngularJS applications to the newer Angular Framework. My client finally decided to make that move following the AngularJS deprecation announcement (stay up to date please 🙏)️. - Source: dev.to / about 1 year ago
The next post in the series provides a thorough comparison of popular frameworks like React, Vue, Angular, and Svelte, focusing on their unique features and suitability for different project types. - Source: dev.to / about 1 year 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: almost 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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