The easiest way to make your code run faster is to do less. At some point, though, you don’t want to do less. Maybe you want to do more, without it being any slower. Maybe you want to make what you have fast, without cutting out any of the work. What then? In this enlightened age, the answer is easy — parallelize it! Threads are always a good choice, but without careful consideration, it’s easy to create all manner of strange race conditions or out-of-order data access. So today, let’s talk about a different route: event loops. If you’re not familiar with evented code, it’s a way to parallelize execution, similar to threading or multiprocessing. Unlike threads, though, evented code is typically cooperative — each execution path must voluntarily give up control. Each of these execution units actually runs in serial, and when finished, returns control to the main loop. The parallelization gain comes from ...Continue reading at --> http://www.appneta.com/2012/11/09/python-and-gevent/