Скачать или смотреть python multiprocessing pool threadpool

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Sure thing! Let's dive into the world of Python multiprocessing with the ThreadPool from the multiprocessing module.
Python's multiprocessing module provides a way to create parallel processes, allowing you to execute multiple tasks concurrently and make the most of multi-core processors. The ThreadPool class is particularly useful for managing a pool of worker threads to parallelize tasks.
Let's create a simple function that simulates some time-consuming task:
Prepare a list of data that you want to process in parallel:
Use the map function to apply the process_data function to each element in the data_list:
Using the ThreadPool from the multiprocessing module in Python allows you to parallelize tasks efficiently, improving the performance of your programs. Experiment with different pool sizes and tasks to find the optimal configuration for your specific use case.
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