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?
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?
The Lelda of Zelda
I’ve been playing MP3 for the first time lately and I’m excited for this next entry! I’m glad to see they have seemingly introduced a new nemesis, as dark Samus was getting a little old IMO
I clean the kitchen pretty thoroughly once per week after meal prepping. By thoroughly I mean do the dishes, wipe down the stovetop and counters, clean the sink with dish soap and a sponge, then sweep and mop. During the week I try to clean up small spills and such as I go and load the dishwasher after meals.
For the bathroom, I usually do once per month. Clean the counter, mirror, toilet top to bottom, and shower top to bottom. Sweep and mop.
Living spaces and bedroom I sweep/mop/vacuum once per month and clean tables as needed.
I hardly dust or clean windows. I maybe do that a couple times per year or if it’s particularly filthy.
The general idea for me is to clean regularly and as needed so that nothing is really nasty at any given time. Anything else gets done roughly once per year or on move out.
Though it sounds silly, sundogs are the name of an actual optic phenomena. They appear as bright spots on either side of the sun, aligned with where the halo may appear. Hence, they are “dogging” the sun.
I’ve got something similar on my office door that reads
In case of fire<br> git commit -a<br> git push<br> git -tf out
This sounded strange to me, so I looked it up. This Wikipedia article suggests all US states have a good samaritan law, and some extend that further by requiring bystanders to reasonably provide assistance. However, who is liable and to what extent appears to vary. Additionally, interactions with other state laws could complicate things.
All that said, I admittedly don’t know much about good samaritan laws beyond this article.
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.