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As someone who is often creating new pages, Netlify's preview makes the review process easier. You can also use the generated URL from Netlify's preview to run an SEO audit prior to going live. This is very useful for spotting bugs or broken redirects.
Based on our record, Netlify should be more popular than FuzzyWuzzy. It has been mentiond 105 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.
We are so excited to team up with Netlify to bring you our next DEV challenge. This Challenge is all about dynamic and high-performance digital experiences, across any framework! - Source: dev.to / 2 months ago
Wait as the Netlify CI/CD robots work their magic to build and push my updated blog site with the shiny new post to the open internet. - Source: dev.to / 3 months ago
Forwarding: Forward or mask a domain to the Drive URL using services like netlify. - Source: dev.to / 6 months ago
The site is deployed to Netlify. There's really nothing special to share about that since Netlify makes the deployment super easy. A quirk of Hugo on Netlify means that I do need to specify the Hugo version as an environment variable but otherwise the deployment just works. One specific requirement of my site is to override the default Hugo build method to include the -F or --buildFuture flag because my events are... - Source: dev.to / 7 months ago
Cons are that it might be a bit heavy hitting for a simple website. You may find there to be a cost to host it, whereas using a static site generator will allow you to use the free tier on netlify.com. SSG's are easier to use and less work to do, including less security to worry about. Source: 9 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 1 year 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 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 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 2 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 3 years ago
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