Many popular random number generators (RNGs) are based on classical computer algorithms and have the advantage of being fast and easy to implement. The best examples pass many statistical tests ...

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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.