Web Reference: 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. 2 days ago · ThreadPoolExecutor is an Executor subclass that uses a pool of threads to execute calls asynchronously. Deadlocks can occur when the callable associated with a Future waits on the results of another Future. You can execute tasks asynchronously with the ThreadPoolExecutor by calling the map () function. In this tutorial, you will discover how to use the map() function to execute tasks with the thread pool in Python.
YouTube Excerpt: PYTHON : How does ThreadPoolExecutor
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