simonweiss
joined 1 year ago
Yeah, actually it also has a HTTP server, in case you need to transfer something big one way and don't want to bother with FTP connection
If by wirelessly you mean via Wi-Fi network then one convenient option is qrcp. It generates a QR-code right in your terminal, which you can scan with a phone and send/receive files through a web interface on the URL it provides.
If you want to transfer files regularly, there is another option. Almost every distro has Python installed, and the Python has a "built-in" FTP server.
You need to just cd into desired directory and run the command python -m pyftpdlib -w. It will open a FTP server with root in this directory.
You then can access it through a file manager, like Material Files for example, and send files and folders back and forth. In Material Files you can save the server address for future use.
If by wirelessly you mean via Wi-Fi network then one convenient option is qrcp. It generates a QR-code right in your terminal, which you can scan with a phone and send/receive files through a web interface on the URL it provides.
If you want to transfer files regularly, there is another option. Almost every distro has Python installed, and the Python has a "built-in" FTP server.
You need to just cd into desired directory and run the command python -m pyftpdlib -w. It will open a FTP server with root in this directory.
You then can access it through a file manager, like Material Files for example, and send files and folders back and forth. In Material Files you can save the server address for future use.
I'm glad I didn't sit by and deleted all my posts and comments.
+ for percussionist :)
Nostalgic! Ordered 5 of these at the time and distributed among the good people :)
SensMe in Sony and Sony-Ericsson phones and players. It was the tool that analyzed your music collection and sorted it according to energy, mood and tempo.
The best variant was on the later products whey you had a list of channels representing either moods/styles (Energetic, Emotional, Lounge, Dance etc.) or time of the day (from 'Morning' to 'Midnight'). The results were very good, especially for the time channels (except the morning) which were perfectly fitting the mood and pace of times of the day, much like Indian ragas. It really felt like your personal radio stations, freeing you from having to make playlists by yourself ever again...
It was discontinued in 2010s because of declared low adoption by users according to some obscure internal studies :( I've been dreaming of replicating it using Python ever since, but never had time to do a proper research.