Python’s execution model is already very stack-oriented — CPython bytecode operates by pushing and popping values almost constantly. Building PyXL as a stack machine made it much more natural to map Python semantics directly onto hardware, without forcing an unnatural register-based structure on it. It also avoids a lot of register allocation overhead (renaming and such).