

Hell yeah. What games did you pick up with it?
Hell yeah. What games did you pick up with it?
No, no, this sounds incredible!
Honestly, I think playing it with a friend might even bump it to 8/10. I had a blast with it despite the lack of innovation and repetitiveness of the gameplay
Slow down, live in the present, and enjoy who and what I already have in my life. That includes being more forgiving to myself and others, worrying less about all of the possible things I could be doing (personally and professionally) and instead choosing one thing at a time to focus my energy on, and being more aware of my own thoughts and feelings, then expressing them in a healthy way.
I own a pair of Etymotic ER20XS ear plugs and I like them. I haven’t had the chance yet to try them out at a concert, but I have worn them on other occassions. I think they’re reasonably comfortable and the sound quality is still good while wearing them.
Image Fight on NES. It’s a top down scrolling shooter where you fly a space ship and pick up new weapons and attachments. I was terrible at it as a kid but I loved it and kept trying to progress further. I’ve thought about picking up a copy now but just haven’t gotten around to it
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.
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.
You could check out Dash/Plotly if you’re familiar with python and planning on visualizing data
Get the fuck outta my cab!
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.
I’m bringing chilli
TIL that plain TeX is a thing.
Neat, lots more e-waste incoming
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?
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
That’s a good point. I hadn’t factored in the processor architecture at all, whoops. I’ve already got plenty of Linux experience though, so I just need to find hardware that can support a wide variety of software. Thanks for the recommendations!
Holy fucking nope. I wasn’t planning on getting Windows 11 and this serves as a great reminder to make the transition to Linux. I’ve been thinking of picking up a raspberry pi 5 as my next desktop. Anyone want to share their experiences doing something similar?
Burning the midnight oil aye?