Posts mit dem Label dropbox werden angezeigt. Alle Posts anzeigen
Posts mit dem Label dropbox werden angezeigt. Alle Posts anzeigen

Freitag, 12. Februar 2016

Part 2 of: one button scan to dropbox with your #raspberry pi

The dropbox part ist very useful: Andrea Fabrizi's script is very easy to use. I do also use it with my timelapse projects. But first mission was to get my snailMails scanned and saved digitally:

# dropbox-Uploader
I used Andrea Fabrizis Dropbox script:
https://github.com/andreafabrizi/Dropbox-Uploader/blob/master/dropbox_uploader.sh
get the bash script here:
https://github.com/andreafabrizi/Dropbox-Uploader/blob/master/dropbox_uploader.sh
    sudo apt-get install git-core
follow these steps:
https://github.com/andreafabrizi/Dropbox-Uploader
    git clone: https://github.com/andreafabrizi/Dropbox-Uploader/
    or just: curl "https://raw.github.com/andreafabrizi/Dropbox-Uploader/master/dropbox_uploader.sh" -o dropbox_uploader.sh

give the execution permission to the script (make sure your in the right directory)
    chmod +x dropbox_uploader.sh
    ./dropbox_uploader.sh

follow the steps that the script wants you to do... setting up a dropbox api and so on...

Freitag, 23. Oktober 2015

38.224 lines of Music as txt

I like to listen to music and I like to track everything. That's why I now have 38.224 lines in a txt file representing the music I listened to over the last 22 month and it's also why most of my friends think I'm kind of weird.

Here's how:
The basic is Spotify as my streaming music service of choice. Spotify allows you to scrobble all the music you've listened to over to last.fm. You'll find that somewhere in your spotify settings.
Now to collect all this data for myself, to play around with it and get happy, I needed my own list. Using an IFTTT recipe, everytime a new 'scrobble' was made at last.fm, a line was added to a google spreadsheet. Unfortunately google somehow added a new file every 2000 lines so that I decided today to tinker all those files into one txt file and to change the IFTTT recipe to dropbox (Here's the recipe). While I'm writing this, the recipe creates a second file in dropbox too...

Here's what:
Having all those lines of pure music data as a txt file, you can easily import it into your spreadsheed.
Using a little pivot table I found out that I've been listening to 2212 different artists, Alt-J at first place, followed by Turbostaat:


My most-played song over the last 22 month was All Opportunities by Solander.
I didn't even realize that It's On is a song of both Broncho and Pins:


What I double checked is this chart: it shows songs played per day. And there are days when I listened to more than 200 songs:

By hour of day:

Now I could cluster artists by hour... or day of week ... or I could go outside, enjoy the sun, have some coffee ...