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.

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

RANDOMNESS IS A valuable commodity. Computer models of complex systems ranging from the weather to the stockmarket are voracious consumers of random numbers. Cryptography, too, relies heavily on ...

We think of random numbers as being somehow arbitrary and unknowable in advance. Mathematically, a given string of numbers is random if there is no shorter way to express the string than the string ...