Well it might be possible for this one to implement a better bytecode optimiser and a better "stack flow", the standard interpreter only has a fairly simple peephole optimiser so it will e.g. store to locals to immediately reload the same local, or repeatedly load a name from the local or global scope rather than load it once and dup it:
>>> @dis.dis
... def foo():
... print a
... print a
... print a
...
3 0 LOAD_GLOBAL 0 (a)
3 PRINT_ITEM
4 PRINT_NEWLINE
4 5 LOAD_GLOBAL 0 (a)
8 PRINT_ITEM
9 PRINT_NEWLINE
5 10 LOAD_GLOBAL 0 (a)
13 PRINT_ITEM
14 PRINT_NEWLINE
15 LOAD_CONST 0 (None)
18 RETURN_VALUE
I don't know how much value the optimised bytecode would bring though, likely not much outside of specific tight loops, and even then it's still only interpreted cpython, for little more cost you can integrate scipy solutions (e.g. numba) which'll likely have a much more significant impact.