If you’re doing a lot of reporting I highly recommend getting familiar with Quarto. It’s incredibly flexible for writing ad hoc reports, automated reporting, dashboards, presentations, etc. You can use python, R, observable, or Julia.
If you’re doing a lot of reporting I highly recommend getting familiar with Quarto. It’s incredibly flexible for writing ad hoc reports, automated reporting, dashboards, presentations, etc. You can use python, R, observable, or Julia.
This Git repo has a list of hidden ESPN APIs that might be useful for automatically pulling data.
Right? I want a PHEV so range isn’t something I really need to think about.
I recently replaced some insulation in my home and i found out it’s a lot more complicated than just put slap it in the wall. That is to say my understanding is pretty rudimentary so my explanation may not be the best.
Insulation in a house creates a temperature difference between the inside and the outside of your house. If the insulation doesn’t have a proper moisture barrier this can lead to water getting trapped on the inside of the insulation due to condensation. The water then comes leaking out if your walls, making everything extremely damp. The darkness inside the wall along with the dampness makes an ideal environment for the mold, which quickly spreads outside of the wall and into the rest of your damp house.
Fun fact: the person your replying to had absolutely no idea that a desalination plant was involved in this process.
Since a lot of people seem to be jumping to extreme conclusions about this based on specious assumptions, here’s how the process works according to the article:
Magrathea — named after a planet in the hit novel The Hitchhiker’s Guide to the Galaxy — buys waste brines, often from desalination plants, and allows the water to evaporate, leaving behind magnesium chloride salts. Next, it passes an electrical current through the salts to separate them from the molten magnesium, which is then cast into ingots or machine components.
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Llamafile is a great way to get use an LLM locally. Inference is incredibly fast on my ARM macbook and rtx 4060ti, its okay on my Intel laptop running Ubuntu.
Economically, militarily, and politically…yeah…
A simpler answer might be llamafile if you’re using Mac or Linux.
If you’re on windows you’re limited to some smaller LLMs without some work. In my experience the smaller LLMs are still pretty good as chat bots so they might translate well.
Seriously. Making beer is easy. Making good beer at scale consistently is incredibly hard, and most craft brewer’s aren’t doing the work.
I have a soft spot for Jenkins because it was the first integration tool I ever used fresh out of college.
But today I want to stab the server because a job started failing randomly with a permission error when trying to copy a file.
I have a soft spot for Jenkins because it was the first integration tool I ever used fresh out of college.
But today I want to stab the server because a job started failing randomly with a permission error when trying to copy a file.
I like to imagine this was thought up by some ambitious product manager who enthusiastically pitched this idea during their first week on the job.
Then they carefully and meticulously implemented their plan over 3 years, always promising the executives it would be a huge pay off. Then the product manager saw the writing on the wall that this project was gonna fail. Then they bailed while they could and got a better position at a different company.
The new product manager overseeing this project didn’t care about it at all. New PM said fuck it and shipped the exploit before it was ready so the team could focus their work on a new project that would make new PM look good.
The new project will be ready in just 6-12 months, and it is totally going to disrupt the industry!
I love DuckDB. It’s really nice to be able to put a bunch of parquet files in a directory and then do operations on them as if they were a sql database. You can even put an index on the files if you’re feeling froggy.
Check out Interstellar