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.

Python trades runtime speed for programmer convenience, and most of the time it’s a good tradeoff. One doesn’t typically need the raw speed of C for most workaday applications. And when you need to ...