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Based on our record, SuperCollider should be more popular than FuzzyWuzzy. It has been mentiond 31 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.
Since then, I've been working more and more with TidalCycles. TidalCycles is an open-source live coding framework for creating patterns written in Haskell. TidalCycles uses SuperCollider on the backend, another language I've been using for live coding. Recently, I started using Tidal Looper for live vocal processing. This blog post will walk you through what you need to get started with vocal looping with Tidal... - Source: dev.to / about 1 month ago
Csound is... "interesting". If you want to play with something more modern, have a look at https://supercollider.github.io/ instead. - Source: Hacker News / 10 months ago
For the intrepid, especially those annoyed with the purported input-sluggishness of musescore et al, an interesting text-based alternative is LilyPond https://lilypond.org/ My dad wrote an opera using LilyPond in vim, though I believe these days he's actually doing more with supercollider, which skips sheetmusic and goes right to sounds: https://supercollider.github.io/. - Source: Hacker News / 11 months ago
Weirdly enough,I got into programming through music. I got into making experimental electronic music and ended up learning SuperCollider. Figured I’d have to get a real job at some point and I liked learning Supercollider enough that I figured I should try to go back to school and learn some more useful programming languages. Source: about 1 year ago
So you’re wondering what would making music with code look like? The tools I’m familiar with are TidalCycles, Sonic Pi, and SuperCollider. I’m having a hard time describing what it’s like to make music with tools like these so here’s a video of a performance. One person is live coding the music and the other is live coding the visuals. I think it’s super cool how the music is improvised and built over time by... Source: 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 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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