Learn the NumPy trick for generating synthetic data that actually behaves like real data.

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.

Putting a list into random order might seem like an unusual task, but it can be quite useful for many businesses. For example, you might want to randomly assign leads to salespeople, assign jobs to ...