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.

Sometimes you need random numbers — and properly random ones, at that. Hackaday Alum [Sean Boyce] whipped up a rig that serves up just that, tasty random bytes delivered fresh over MQTT. [Sean] tells ...

Cloudflare is one of those Internet companies you use all the time, but don’t usually know it. Big websites you visit use Cloudflare to shore up their defenses against denial of service attacks. The ...

Randomness rules the very fabric of reality. So it only makes sense that scientists have figured out how to use nature’s randomness as a tool in our mundane world. Random numbers go hand-in-hand with ...

To simulate chance occurrences, a computer can’t literally toss a coin or roll a die. Instead, it relies on special numerical recipes for generating strings of shuffled digits that pass for random ...

🛍️ The best Black Friday deals you can shop right now (updating) 🛍️ By Andrew Paul Published Jun 12, 2025 2:01 PM EDT Get the Popular Science daily ...

Quick! Think of a number between 1 and 10…was it 7? If it was, don't feel too bad, as human brains are notoriously bad at both true randomness and understanding probability. Even if you're too ...

Random numbers are essential for secure cyber communications. But making truly random numbers is harder than it seems. Now scientists have devised a way to make the most random random numbers ever. A ...