In this lesson, you’ll see which situations might be better suited to using either concurrent.futures
or multiprocessing
. You’ll also learn about how that ties in with the Global Interpreter Lock (GIL).
Because of the GIL, no two threads can execute Python code at the same time. So even if you have multiple threads running in your Python program, only one of them can execute at a time. The best way to get around this is to use process-based parallel programing, or process-based parallelism.
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.
alexchwu on July 5, 2019
Awesome lesson and thanks for sharing