How to Use Multithreading in Python

Parallel processing is a feature of programming languages that allows the programmer to start execution of two processes or “threads” at the same time. This parallel processing can be very handy and can definitely speed things up when many non-dependent tasks need to run, creating efficiencies and using processing power more effectively. Python has multithreading and multiprocessing (which we do not cover today). Multithreading is very effective when data is shared between processes and there downtimes on one process vs. another, allowing for other things to run. Multiprocessing allows entire processes to execute separately (ie. on other processors entirely). Both are very useful in certain contexts. So, buckle up and get ready for some multithreading!

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