Talking about shared memory benefits and overheads in Python is a pretty abstract problem, if you account for how much objects Python interpreter creates and wh

Talking about shared memory benefits and overheads in Python is a pretty abstract problem, if you account for how much objects Python interpreter creates and what OS does under certain load levels. I'm merely advocating a different model for concurrency in Python :)