Multiprocessing enables the computer to utilize multiple cores of a CPU to run tasks/processes in parallel. This parallelization leads to significant speedup in tasks that involve a lot of computation. This article will cover multiprocessing in Python; it’ll start by illustrating multiprocessing in Python with some basic sleep methods and then finish up with a real-world image processing example. In one of our recent articles, we discussed using multithreading in Python to speed up programs; I recommend reading that before continuing.
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