I find this is common in python: there are nice shorthand things you can do that are definitely powerful, but they are not easy to understand nor to remember. Particularly with conditions applied to arrays / series this is a problem. "Truth of a series is ambiguous" is one of my most frequent errors.

That said, the overall ecosystem still makes python the most practical general data science language in my view.