Web Reference: Apr 12, 2019 · Pool.apply will lock the main program until all processes are finished, which is quite useful if we want to obtain results in a particular order for certain applications. In contrast, Pool.apply_async will submit all processes at once and retrieve the results as soon as they are finished. Oct 27, 2023 · The large complex data structure needs to be available to each child process. The use of multiprocessing means that sharing the large data structure can be very slow, potentially requiring inter-process communication. In many cases, this can be even slower than the sequential version of the program. Jul 23, 2025 · Multiprocessing in Python | Set 1 These articles discusses the concept of data sharing and message passing between processes while using multiprocessing module in Python.
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