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Based on our record, Bootstrap seems to be a lot more popular than FuzzyWuzzy. While we know about 363 links to Bootstrap, 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.
Not in the so distant past, when Bootstrapped themes were becoming the face of the Internet, a new framework came to town — TailwindCSS. The smart thing they did was introduced the framework with a few brilliant template and a lot of styled components. I bought the initial copy and does a lot of people. Those templates, TailwindUI.com (now TailwindCSS.com/plus)[1] became the gradien-y, dark-ish, glow-y design you... - Source: Hacker News / 4 days ago
This will show the posts passed from the controller in a row of cards. Please notice that you are linking to Bootstrap’s CDN for easy styling. If there are no posts, a message on a card saying that there are no posts will be shown. - Source: dev.to / about 1 month ago
Yeah, good point. It's kinda common to have a big footer. Examples: https://getbootstrap.com/, https://stake.us/ (casino) That way on desktop you could get away with a 50vh margin under the content and then another 50vh for the footer. - Source: Hacker News / about 2 months ago
FastHTML allows developers to build modern web applications entirely in Python without touching JavaScript or React. As its name implies, it is quicker to begin with FastHTML. However, it does not have pre-built UI components and styling. Getting the best out of this framework requires the knowledge of HTMX and UI styling using CSS libraries like Tailwind and Bootstrap. - Source: dev.to / 2 months ago
Bootstrap is one of the oldest and most established CSS frameworks, originally developed by Twitter in 2011. It takes a component-based approach to web development, providing a comprehensive collection of ready-to-use UI elements and prebuilt components. - Source: dev.to / 2 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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