Regarding distribution, there’s also the potential to permanently knock out our electronics and power grid with a high-altitude detonation and resultant EMP waves: https://spectrum.ieee.org/one-atmospheric-nuclear-explosion-could-take-out-the-power-grid
If you knock out the solenoids in all our vehicles as well as the power grid and other electronics, it will be very hard to move that stored food anywhere, and most people will probably starve.
Strong agree with not using “the hard way.” Not a big fan.
Automate the Boring Stuff isn’t bad. But I think the best, direct-path/deliberate practice resource for general Python capability is Pybites (codechalleng.es) + Anki. There are 300-400 exercises (with a browser interpreter) that require you to solve problems without them handholding or instructing you (so it’s like LeetCode but for actual programming capability, not just algorithm puzzles). Everything requires you to read documentation or Google effectively, and they’re all decent, realistic use cases. There are also specific paths (like testing, decorators & context management, etc.) that are covered in the exercises.
My procedure:
Finish at least the Easy and at least half the Mediums for each relevant path.
If you learned something new, put it into Anki (I put the whole Pybite into a card and make a cloze-completion for the relevant code—I then have to type it for reviews).
Finish the rest of the Pybites (which will be an unordered mix of topics that includes the remaining Mediums and Hards for each of the learning paths, plus miscellaneous).
IMO, you will now actually be a solid low-intermediate Python generalist programmer, though of course you will need to learn lots of library/specialty-specific stuff in your own area.