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[–]whereswhat 2 insightful - 2 fun2 insightful - 1 fun3 insightful - 2 fun -  (3 children)

I think quant difficulty really depends on the teacher and the amount of statistics required as a prerequisite. Also useful to know a fair bit of chemistry and material science. But yeah, not the easiest subject out there.

[–][deleted] 2 insightful - 2 fun2 insightful - 1 fun3 insightful - 2 fun -  (2 children)

You gotta pick your most favorite poison: If you already ate math for the most parts you can have one good laugh after another with your prof in quantum physics about some ppl. not getting it that well :) . You can even call out the "classical" physicists as numbnuts bc. of their questionable "use" and assumptions (in statistical mechanics, e.g. also) in stochastic methods.

And measure theory imo is actually easy once you understood the concept of zero-measure sets in different measures thoroughly.

The integration part then is hard again bc. integration is an form of art. I often refer to this one in this: https://en.wikipedia.org/wiki/Bronshtein_and_Semendyayev .

The Russians were and are the big wizards of so many integrals and function theory that i stopped counting them and just look them up, if maple (https://www.maplesoft.com/) doesn't solve them fast enough or the solution seems irrational or "too" complex to write down or understand.

Above that there are numeric methods which i just wrote here as a reminder, if you really can't find a closed, beautiful enough solution.

[–]bald-janitor 1 insightful - 2 fun1 insightful - 1 fun2 insightful - 2 fun -  (1 child)

Is python any good for numerical analysis? They tell me to take a python course for it...

[–][deleted] 2 insightful - 2 fun2 insightful - 1 fun3 insightful - 2 fun -  (0 children)

Python is good for anything, as long as it isn't too deep or too complex. I'd go with https://julialang.org/ for it, but its almost the same anyways.

If they emphasize you should take the course, take it.