Parallel Python - Standard Library
If you need to process items in a list and each is independent from the others, you probably benefit from parallelism. To parallelize you split the work in multiple tasks and execute them at the same time. There are two ways of doing paralellism: threads and processes. I always parallelized with Pools, so I discovered other interesting ways of using pools and other parallelization tools. However, we will start with Pools and move to other topics later.