Another Hackaday reader here. I think that the RPi shines in projects where GPIO are needed, yet the developer needs a full Linux OS (usually to run Python).
I agree that vibe coding microcontrollers will increase the use of embedded systems instead of RPi devices. Seems like a good move for them to have built the RPi Pico.
Matrix is just a visualisation tool, I never actually found a practical use for it other than looking cool.
The decomposition feature is at the bottom of the page below the generated HTML. It's the text box with "隹" and a Search button. Clicking Search will show the 2 parts of the character, and all characters that contain that radical (䧶, 䳡, etc), and all multi-character words containing that character.
Clicking any of the related characters (or numeric codes for radicals that don't have a Unicode representation) will then show the genealogy for that character.
See "copying from images" in http://localhost/pingtype/docs/docs.html
If I ever come to Berlin then your meetup sounds fun! I'm pretty far away though; I live in New Zealand now.
All the best with your learning, I hope you keep making progress!
Paste in some parallel text (e.g. Bible verses, movie subtitles, song lyrics) and read what Farsi you can on the first line, looking to the lower lines for clues if you get stuck.
The core version of Pingtype is for traditional Chinese, but it supports a few other languages too.
Good to see that there are others learning and creating! Another shameless plug for my translator site: https://pingtype.github.io
It takes text, adds colours for tones, pinyin, literal, and parallel translations.
There’s also a character decomposition tool at the bottom of the page which can be helpful if you’re able to recognise half a character but can’t remember the pronunciation for typing it.
The YouTube channel has some song lyrics, movie subtitles, and audio Bible that might help with learning.
That included the artist location, allowing me to tag songs based on their country. I then created playlists such as "NERAS" Non-English Rock Artist Sample, where the one most popular song for a particular artist was chosen, and only when the country of origin was not English-speaking, and the genre was Rock. I like listening to music while working, but English lyrics distract me because I understand what they're saying.
After discovering music via the MySpace archive, I've since purchased 73 songs from 35 artists that I'd never heard of before digging into the data. I rebuilt my playlist on Spotify, but got greyed out tracks, and YouTube Music, but got "unavailable video". So I still prefer purchasing tracks via the iTunes Music Store, Qobuz, Bandcamp, and 7digital.
Other data sources such as the MP3.com rescue barge, PureVolume archive, and Anna's Spotify archive lack the country-of-origin metadata, so are of less interest to me. It may be possible to use an LLM to guess the language of each track title, but someone else will have to do that.
Meanwhile, if you're interested in the genre-by-country MySpace data, or have questions about the iTunes EPF, feel free to reach out and we can discuss your research.
After a concert in London, I missed the last train back to Lancaster. So I made a sign saying that I was on CouchSurfing, and some strangers invited me over!
After CouchSurfing started charging a monthly fee, I’ve defected to BeWelcome.org which is a European, open-source alternative to CS.
Was that the Archive.org HTML files, or did you find a source of PureVolume MP3 files?
Either way I'm interested; I did some independent research into the MySpace Dragon Hoard for non-English music, and discovered bands through there that I've since supported on Bandcamp and iTunes.