When should I use ThreadPoolExecutor in Python?
You should use ThreadPoolExecutor when you need to manage a pool of threads for concurrent execution of tasks, especially I/O-bound tasks.
Can you give me an example of I/O-bound tasks?
Sure! Examples include web scraping, file reading/writing, or making multiple API calls simultaneously.
What are the advantages of using ThreadPoolExecutor over creating threads manually?
ThreadPoolExecutor simplifies thread management, reuses threads, and can limit the number of concurrent threads, improving performance.
Are there any downsides to using ThreadPoolExecutor?
Yes, potential downsides include complexity in debugging and the overhead of managing the thread pool.
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