No one said you can't be parallel in python. The problem is that you can't use simple threads and must resort to separate processes, shared memory, and IPC to s

No one said you can't be parallel in python. The problem is that you can't use simple threads and must resort to separate processes, shared memory, and IPC to shard out your work that way. CCP uses twisted which manages to help you with yielding when doing async IO keeping as much work off the GIL when you are waiting on data and sockets and builds in cooperative multitasking concepts to let you yield to other work, but it's internally not multithreaded or multiprocessing out of the box. You still have scale up worker processes in some cases (usually one per CPU you have) to really make it effective.