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.

A look at the benefits of using pathlib, the "object-oriented way of dealing with paths". Working with files is one of the most common things developers do. After all, you often want to read from ...

Last week, we looked at the fundamentals of Python (https://www.nwfusion.com/columnists/2003/0602gearhead.html) so this week we’ll examine some of the larger ...