Random

Python's core module for generating pseudo-random sequences and performing statistical sampling.

The module leverages the Mersenne Twister PRNG (period: 2**19937-1) to deliver fast, deterministic sequences for simulations and modeling. It handles core operations like shuffling lists via `random.shuffle()` and picking weighted samples with `random.choices()`. Note: this implementation is not cryptographically secure (use the `secrets` module for auth tokens). It supports diverse distributions: uniform, normal, and exponential.

https://docs.python.org/3/library/random.html