How to efficiently do many tasks a “little later” in Python?

Question

I have a process, that needs to perform a bunch of actions \"later\" (after 10-60 seconds usually). The problem is that those \"later\" actions can be a lot (1000s), so using a

Answer 1

Have you looked at the multiprocessing module? It comes standard with Python. It is similar to the threading module, but runs each task in a process. You can use a Pool() object to set up a worker pool, then use the .map() method to call a function with the various queued task arguments.