Web Reference: 1 day ago · submit() and map() work like normal, except the worker serializes the callable and arguments using pickle when sending them to its interpreter. The worker likewise serializes the return value when sending it back. The multiprocessing.pool.ThreadPool in Pythonprovides a pool of reusable threads for executing ad hoc tasks. The ThreadPool class extends the Pool class. The Poolclass provides a pool of worker processes for process-based concurrency. Although the ThreadPool class is in the multiprocessingmodule it offers thread-based concurrency and is best suited... The problem is that you transform the result of ThreadPoolExecutor.map to a list. If you don't do this and instead iterate over the resulting generator directly, the results are still yielded in the original order but the loop continues before all results are ready.
YouTube Excerpt: In this video, we learn how to use thread pools in
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