1. A quick video to demonstrate the 8th hurdy gurdy I built, which was back in the workshop for a tune-up before heading off to its new owner. I was happy with the sound when it was built, and two years later it’s developed very nicely. The video doesn’t really do it justice, but gives a fair impression.

    https://www.youtube.com/watch?v=RD9D9P2O750

  2. It’s always nice to have your old instruments back in the workshop. In this case, number 8 is getting some adjustments before heading off to its new owner.

  3. Does anyone else get bizarre spam emails consisting of a single image with a bunch of chinese writing, then a long gap and around 10 paragraphs of text randomly excerpted from old books? It consistently gets past my spam filter and I still have no idea what it’s even trying to sell me.

  4. Today I realised I had never taken any good photos of this mountain dulcimer I built in 2016 as a warm-up project after moving to a new workshop.

  5. The 70s got me covered if I end up getting quarantined due to coronavirus. Unopened and in mint condition, I can rely on McDougall to see me through these hard times

  6. My summer workout is going for a walk in the woods around a village named for its horsefly population. 30 minutes waving my arms around then 20 minutes jogging to try to get away from them, the CO2 and sweat attracting more and more

  7. Aaron Parecki: Ok that was fun, thanks for all the responses! Lots of great stuff in there. Now take your favorite programming language and tell me the 3 things you most dislike about it. No complaining about languages you don't use!

    For python, the lack of type information for function signatures and return values in the documentation has always annoyed me.

    The lack of naming consistency in the standard library, too — it’s almost as bad as PHP, with nospaces, under_scores and CamelCase at every level: modules, classes, functions, arguments.

    I can’t think of a third major annoyance off the top of my head though, and almost every time I use another programming language, I end up realising just how well designed some aspect of python is, so it’s not doing too badly.

  8. Experimenting with some computational musicology on a vast corpus of traditional music compiled by a friend. Extrapolating from the last few hours, I anticipate the first complete analysis will take 2.5 days to complete on my macbook. Plenty of time to research how to build a raspberry pi parallel computing cluster…