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.

Your brain can’t generate random numbers, and computers can’t either. Most of the ‘random’ numbers we come across in our lives are actually pseudorandom numbers; random enough for their purpose, but ...

A surprisingly common, but tricky, mini-task in the area of machine-learning software is generating distinct, random array indices. For example, if you have an array with 10 cells, you may want to ...

Whether it’s a game of D&D or encrypting top-secret information, a wide array of methods are available for generating the needed random numbers with high enough entropy for their use case. For a ...

There are several ways to conveniently generate random data on Unix systems. One popular way is to make use of Perl’s rand function. Another is to employ the /dev/random or /dev/urandom pseudodevice ...