Earlier quoted context omitted.
People do this kind of computation using numpy all the time. If you weren’t developing a new language with a new syntax, there really isn’t much of a library to write. At that point it’s just using numpy.
the language can do a lot of very expressive things, every language feature works in your favor too, but agree with you, i would not use my own language for anything production. like this: D ~ unif_int(1, 6); Print("P(rolled a 6 | rolled > 3) =", P(D == 6 | D > 3)); or: loss ~ unif(0, 1000); claim = if loss > 200 { loss - 200 } else { 0 }; p = P(claim > 0); Print("P(insurer pays a claim) =", p) notice that "claim" is…
Yeah sure this is how numpy people would do it:
N = 10**6
D = np.random.randint(1, 6, N)
print("P(rolled a 6 | rolled > 3) =", ((D == 6) | (D > 3)).mean())
loss = np.random.uniform(0, 1000, N)
claim = np.where(loss > 200, loss - 200, 0)
p = (claim > 0).mean()
print("P(insurer pays a claim) =", p)