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.

A new network paradigm can generate meaningfully random numbers—and fast. In network encryption, randomness has huge value because it’s not “solvable” by hackers. Classical computers can’t be ...

Using a single, chip-scale laser, scientists have managed to generate streams of completely random numbers at about 100 times the speed of the fastest random-numbers generator systems that are ...