In a certain sense (for example, when measuring brevity), it is indeed easy to write this example in Python. However, the Python version also illustrates that many different language constructs are needed to express the intended functionality. In comparison to Prolog, Python is a quite complex language with many different language constructs, including loops, objects, methods, assignment, dictionaries etc. all of which are used in this example.

As I see it, a key attraction of Prolog is its simplicity: With a single language construct (Horn clauses), you are able to express all known computations, and the example queries I posted show that only a single language element, namely again Horn clauses to express a query, is needed to run the code. The Prolog query, and also every Prolog clause, is itself a Prolog term and can be inspected with built-in mechanisms.

As a consequence, an immediate benefit of using Prolog for such use cases is that you can easily reason about user-specified queries in your applications, and for example easily allow only a safe subset of code to be run by users, or execute a user-specified query with different execution strategies etc. In comparison, Python code is much harder to analyze and restrict to a particular subset due to the language's comparatively high syntactic complexity.