Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.

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A Python library with time-based pseudo-random number generation. Features a unique mathematical rounding module, distribution diagnostics, and essential utilities.