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

In the last post introducing Python, I demonstrated how to make a simple app using variables and conditional statements. In order to do anything really powerful in a given programming language though, ...

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.