What are some practical use cases for multiprocessing in Python?
Multiprocessing in Python is great for CPU-bound tasks. Common use cases include data processing, image processing, and simulations.
Can you give me an example of a data processing task that benefits from multiprocessing?
Sure! For instance, processing large datasets with pandas can be sped up by using multiprocessing to handle chunks of data in parallel.
What about web scraping? Can multiprocessing help there?
Absolutely! Multiprocessing can be used to scrape multiple web pages simultaneously, significantly reducing the total time required.
Are there any downsides to using multiprocessing?
Yes, multiprocessing can introduce complexity, such as managing shared state and increased memory usage, so it's important to weigh the benefits.
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