Data model, mutability, scoping, comprehensions, and the truthiness and copying gotchas.
3 questions in Python.
Python closures capture variables, not their current values, so functions created in a loop all read the same final loop binding unless you bind a value per iteration. It also connects scoping to the point an interviewer is testing.
Because `is` compares identity while `==` compares value, and CPython reuses objects for small integers and for compile-time string constants. The agreement is an implementation detail of the interpreter you happen to be running, so code that relies on it works until the values change. It also connects interning to the point an interviewer is testing.
Python mutable default arguments are evaluated once when def runs, so omitted calls share the same list or dict stored in the function's __defaults__. It also connects mutability to the point an interviewer is testing.