What are the differences between multiprocessing and concurrency in Python?
An example of an AI chatbot conversation about performance comparison of multiprocessing and concurrency.
What are the differences between multiprocessing and concurrency in Python?
Multiprocessing involves running multiple processes simultaneously, while concurrency allows multiple tasks to progress without necessarily running at the same time.
Can you explain how performance differs between the two?
Sure! Multiprocessing can improve performance for CPU-bound tasks by utilizing multiple cores, while concurrency is better for I/O-bound tasks as it allows for overlapping I/O operations.
Which one should I use for a web scraping project?
For web scraping, concurrency is often preferred because it can handle multiple I/O operations efficiently, allowing you to scrape data faster.
Are there any libraries you recommend for concurrency in Python?
Yes! You can use libraries like asyncio, aiohttp, or concurrent.futures for efficient concurrency in Python.
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