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Joined 1 year ago
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Cake day: July 1st, 2023

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  • Depends on what kind of programmer.

    If you’re doing data engineering/science (more of an adjacent field), you need to know linear and probability pretty well to build models, or have data harvested in ways that can be put into vectors.

    If you’re doing relational DB stuff (like SQL) set theory helps a lot.

    Basic boolean operations in general is also good to know. You don’t need to go too deep in the weeds of boolean math unless you’re also doing a lot of hardware-level stuff.

    Any field you go into (not just programming), I would say just basic math for regular financial competency is good to know. Also to analyze your budgeting, your costs, time spent, effort needed, etc.




  • Another huge expensive problem is transporting it is not easy. At room at atmospheric pressure and temperature, it takes up like 2-3 grams per gallon of space, making it super inefficient to transport.

    You could pressurize it, but that makes it insanely flammable and a risk of it leaks. You could also cryo-freeze it, but that is also very expensive to transport, it require a lot of energy to freeze it, maintain it during long transports, and to unfreeze it at it’s destination.

    Building a hydrogen delivery infrastructure is probably the best way to overcome this, but that would also take years and billions.

    I’m no expert on the field, but I’d imagine a lot of energy departments would rather do that cost and effort towards building new green energy plants that can deliver power to grids rather than only help cars. Car-wise, most things are transitioning to hybrid or electric anyways, so they also benefit from a green power plant.