Multithreading and Multiprocessing in 10 Minutes | Towards Data Science
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Multitasking made easy with Python examples
Multithreading and Multiprocessing in 10 Minutes | Towards Data Science Programming Multithreading and Multiprocessing in 10 Minutes Multitasking made easy with Python examples Kay Jan Wong Mar 24, 2022 4 min read Share Photo by Murray Campbell on Unsplash Multithreading and multiprocessing are two ways to achieve multitasking (think distributed computing!) in Python. Multitasking is useful for running functions and code concurrently or in parallel, such as breaking down mathematical computation into multiple smaller parts, or splitting items in a for-loop if they are independent of each other
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