After 6 years of seriously using Python regularly, I’d probably give myself a 6/10. I feel comfortable with best practices and making informed design decisions. I have no problem using linting and testing tools. And I’ve contributed to large open source projects. I could improve a lot by learning more about the standard library and some core computer science concepts that inform the design of the language. I’m pretty weak in web frameworks too, unfortunately.
DOOM (2016). I originally got it when it came out, I wasn’t very patient then, but largely played multiplayer. I’ve been playing the campaign this time around and I’m enjoying it quite a bit.
Women are so cute I don’t think I can do it anymore
!themusicman out here doing the Lord’s work. I would love an invite as well!
Perhaps a hot take, but East of Eden was an absolute trudge to get through. I think I made it almost halfway and gave up because I was not enjoying it at all. I wasn’t sure what the main points were and there were too many details unrelated to the plot.
A less hot take, The Fountainhead was also a pain to read. It was just boring as hell and I stopped about halfway as well. I only read it because I loved Anthem and became disappointed to find out it’s only related philosophically.
Weather prediction at point locations is extremely challenging to get right because we simply can’t observe and make predictions for every single square inch of the earth. Many weather models are run on grids with boxes about the size of a few kilometers at the smallest scale, which means that any physical process in the atmosphere that is the size of that box or smaller won’t be represented well by the model.
Specifically on your point about clouds passing over your location, cloud and precipitation formation is even more challenging. Clouds and precipitation form due to atmospheric processes ranging from hundreds of kilometers all the way down to micrometers, which practically means the weather models are making an educated guess (albeit a very good one that is informed by scientific research) about when and where clouds will form. And when a model does predict a cloud, it will cover an entire grid box.
Finally, I saw you made a comment about how machine learning should improve forecasts, and in fact it does! But the weather community is still working on data driven models (as opposed to models that solve physical atmospheric equations), and most of them are run by private companies so their output is not free. As these data driven models get better, it may be possible that they will be able to make predictions at scales less than a kilometer.
TIL that plain TeX is a thing.
Oh that’s interesting. I started poking around with a Gameboy emulator guide implemented in Python that intended to emulate a Z80. Got any good resource recommendation in case I decide to pick this back up and inevitably get stuck?
I’ve been playing Metroid Prime 3 and largely enjoying it. The most recent boss fight was incredibly fun and refreshing, easily the best in the game and high in the rankings for best boss fight period.
Oddly enough I’ve had the most success selling things on craigslist in the past few years. When I list things on OfferUp I get some messages but everyone is super flaky. People are still flaky on craigslist but I almost always end up closing the sale there instead of OfferUp
Most well regarded journals in STEM require a publishing fee. That is not the case for the humanities and I believe social sciences, which are always free.
Predictability in a chaotic system across various scales of time and space.
I like finding playlists that people on Spotify have made roughly around a particular band or genre. I find one and hit shuffle and see what happens. I’m talking an actual user made playlist, not the garbage Spotify “made for you” playlists. Those used to be solid until they started stuffing them with 90% songs I already listen to.
Sometimes playing the last song on an album that I like or one of my playlists gets some good stuff out of Spotify’s algorithm, but that is kind of hit or miss. It used to be quite a bit better.
Job for a Cowboy - The Forever Rot - technical death metal/progressive metal
Lacuna Coil - Delirium - gothic metal with a mix of clean/harsh female/male vocals
Decapitated - Veins - technical death metal
VOLA - Head Mounted Sideways - progressive metal with a mix of clean and harsh vocals
Caligula’s Horse - Slow Violence - progressive metal with mostly clean vocals
Skyharbor - Miracle - progressive metal with clean vocals
Baroness - Shine - progressive metal with mostly clean vocals and mix of male/female
Twelve Foot Ninja is fantastic. A little bit funky and weird, but still heavy, and some very positive vibes
The wired model has been my daily driver for damn near 8 years now. Use em for music at work and gaming at home (though I would approve for gaming at work). I haven’t wanted or needed to upgrade since I got them
Not an ingredient necessarily, but I toast rice with spices before cooking it. I throw some oil and garlic in the pot I’m going to cook the rice in, then put in the rice and (for mexican-like dishes) garlic powder, onion powder, chili powder, cumin, a little oregano, a little cayenne pepper, and salt. I mix that all up continuously over medium heat for a couple minutes, then I add the water and cook the rice. It makes an incredible difference in taste
My routines are a bit more casual and inconsistent than what others have posted. Lately I have been doing intervals on a stationary bike for 30 minutes three times per week. If the weather is nice, I’ll go for a walk 30-90 minutes depending on location and weather on days that I don’t do the stationary bike.
I eat fairly healthy and almost always at home. I make an effort to get two servings of raw fruit and veg each day, in addition to anything that I put into my meal prep for that week. I don’t eat much meat though, so I struggle a bit with protein intake.
In the past I’ve used MyFitnessPal to track my meals and check protein and calorie intake in particular. It’s a decent app and gave me what I needed.