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.

These are my go-to libraries for Python data crunching.

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...