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.

Randomness can be a Good Thing. If your system generates truly random numbers, it can avoid and withstand network packet collisions just one of many applications. Here's what you need to know about ...

Skyrmions, tiny magnetic anomalies that arise in two-dimensional materials, can be used to generate true random numbers useful in cryptography and probabilistic computing. Whether for use in ...