Python lets you parallelize workloads using threads ... process pool run_pool(ProcessPoolExecutor) You’ll find the thread pool completes many times slower than the process pool. That’s not ...

This means that the GIL is not an issue and threading is an ideal solution. However, if the operation in question was something which was CPU intensive within Python, processes would likely be ...

The good news with threads is that they are relatively easy to work with and let you share data among threads without too much trouble. The bad news is that if you're not ... process! So in this ...