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.

Many popular random number generators (RNGs) are based on classical computer algorithms and have the advantage of being fast and easy to implement. The best examples pass many statistical tests ...

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 ...

Researchers have developed a chip-based quantum random number generator that provides high-speed, high-quality operation on a miniaturized platform. This advance could help move quantum random number ...

Fast randomness A diagram of the quantum random number generator on the photonic integrated chip. (Courtesy: Bing Bai and Yao Zheng) Smartphones could soon come equipped with a quantum-powered source ...

The title probably doesn't make a lot of sense, so let me lay out what I'm doing. I'm in the early stages of creating a framework for generating test data for a specific problem domain. One of the ...

You’ve heard it a million times—use a long, strong, unique password for every single one of your online accounts. But memorizing even one password like Py4"qIme%F ...