Hi! Recently I encountered a situation when I needed to pick a random population sample but with specific distribution function - paretovariate in this particular case. After poking around in the random module I found out that none of the so-called "sequence methods" methods support custom random function except for random.shuffle <https://github.com/python/cpython/blob/master/Lib/random.py#L293>.
I would like to propose a new optional keyword argument for all these sequence methods (choice, sample, choices) that will - similarly to how shuffle does - take a zero-argument random distribution function of the users choice. Because it should be a zero-argument function, it would most likely require to pass "configured" distribution function with lambda. I would see it being used like this: ```python import random random.choice([1, 2, 3], random=lambda: random.paretovariate(1.75)) ``` This seems reasonable to me and I would find it beneficial for end-user as well with the flexibility it gives. In my opinion, it would also make the sequence methods api more uniform by all of them supporting this feature (I don't know if that's a valid argument since the shuffle supported that from the beginning and was added about 20 years ago <https://github.com/python/cpython/commit/6c395ba31609eeffce2428280cc5d95e4fb8058a> :P). And since it's going to be optional kwarg, hence backward compatibility will be preserved. If that makes sense I'm willing to make a patch. I looked into random.py and it looks that implementation should be easy enough. One thing I'm concern about is how it would all relate to _randommodule.c (I have little knowledge about C part) Thanks! Patryk
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