What are the differences between thread pools and process pools in Python?
Thread pools use threads to manage tasks, while process pools use separate processes. Threads share memory, making them lighter but prone to issues like race conditions. Processes are heavier but provide better isolation.
When should I use a thread pool instead of a process pool?
Use a thread pool for I/O-bound tasks where waiting for external resources is common. For CPU-bound tasks, a process pool is better as it can utilize multiple CPU cores.
Can you give me an example of when to use each?
Sure! Use a thread pool for web scraping where you wait for responses. Use a process pool for data processing tasks that require heavy computation.
What libraries in Python can I use for these pools?
You can use the concurrent.futures
module for both thread and process pools. For more advanced use, consider multiprocessing
for process pools.
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