14.7 Recall
We’ve looked closely at a variety of topics related to concurrent processing in Python:
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Threads have an advantage of simplicity for many cases. This has to be balanced against the GIL interfering with compute-intensive multi-threading.
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Multiprocessing has an advantage of making full use of all cores of a processor. This has to be balanced against interprocess communication costs. If shared memory is used, there is the complication of encoding and accessing the shared objects.
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The concurrent.futures module defines an abstraction — the future — that can minimize the differences in application programming used for accessing threads or processes. This makes it easy to switch and see which approach is fastest.
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The async/await features of the Python language are supported by the AsyncIO package. Because these are coroutines, there isn’...
