datacurator-filetree
album-splitter
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datacurator-filetree | album-splitter | |
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36 | 5 | |
1,423 | 238 | |
- | - | |
2.0 | 2.6 | |
10 months ago | 3 months ago | |
Makefile | Python | |
MIT License | GNU General Public License v3.0 only |
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datacurator-filetree
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How do you store interest-based content? Do I store that content in separate filetype folders or a single folder with sub-directories for each media type?
For the most part I follow this file tree. However when it comes to some of my intererests, like electronics, I am unsure if I should keep splitting these interest-based files by file type, for example:
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Where should I put my product "mockups" folder
I have redesigned my entire computer to follow the datacurator methodology: https://github.com/roboyoshi/datacurator-filetree/tree/main/root
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Share your folder structure
P.S. I've been lurking this sub and have considered this particular problem for a long time and have read maybe everything Karl, Nayuki, Reddit, and Hacker News have had to say on the subject. Running into this post is a treat. If tags don't work out for you roboyoshi and contributors have made a really nice unified file tree https://github.com/roboyoshi/datacurator-filetree
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I have created an Automated Screenshot Sorting in bash that moves screenshots from a folder into named subfolders in the screenshot's folder of Roboyoshi`s Datacurator Filetree.
As always, credit to u/Roboyoshi for the Datacurator filetree.
- What is your folder tree in Google Drive looks like?
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Dataset Organisation.. Need Inspiration!
But it will obviously depend on the use case. As example you have JohnnyDecimal or a more simple approach
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Tool to clone file structure without the large files themselves?
This tool will be useful to generate repos like these and sharing them with friends without actually needing to share them TB of data.
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Tried to combine a few posts i saw on here
back in the days I started with this structure tho: https://github.com/roboyoshi/datacurator-filetree
- Beste Methode(n) zum organisieren von Dateien ?
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My organisation structure; feedback appreciated
This is a mix of this post and https://github.com/roboyoshi/datacurator-filetree. Im still having trouble with a few things:
album-splitter
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Is it possible to split a YT video by timestamps (not chapters)?
Though they are now in mp3 format, they are still sorted alphabetically and with the file names missing - between artist and song, e.g. Pink FloydAnother brick in the wall (Part 2).mp3 (this issue?)
- Download album and separate tracks/chapters
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How do you organize your data?
For music, I exclusively listen to albums on youtube. I use the tool albumsplitter.py which downloads and splits the album into distinct songs, so you can shuffle easily between difference songs in a mp3 player. I then use foobar2k discogs plug-in to add metadata. Im a bit annoyed by this set-up do to how manual it is. I think I can develop a script that does this automatically and access it through the windows drop down menu but i've been bad lazy. I ultimately want to develop a personal report generated from the usage statistics of foobar (or some other music player) to figure out what albums / songs ive liked, listen to, how extensive, what genres, forecast etc.
- The Xerf Xpec channel "has been marked for termination"
What are some alternatives?
filetags - Management of simple tags within file names
youtube-dl-gui - A cross platform front-end GUI of the popular youtube-dl written in wxPython.
czkawka - Multi functional app to find duplicates, empty folders, similar images etc.
yt-splitter - Downloads and splits audio tracks from a YouTube video according to the chapters/tracks. Useful for compilations or full album uploads.
pyShelf - A simple terminal based ebook server
youtube-dl - Command-line program to download videos from YouTube.com and other video sites
appendfilename - Intelligent appending text to file names, considering file extensions and file tags
youtube-dl - Command-line program to download videos from YouTube.com and other video sites
koreader - An ebook reader application supporting PDF, DjVu, EPUB, FB2 and many more formats, running on Cervantes, Kindle, Kobo, PocketBook and Android devices
ytmusic-lib-tracker - Useful tools for youtube music. Exporting library to csv, tracking changes in library, summary of transfer from GPM
Kavita - Kavita is a fast, feature rich, cross platform reading server. Built with the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.