![]() ![]() ![]() The latest released version of multiprocess is available from: Objects to be shared between processes using a server process or (for simple data) shared memoryĮquivalents of all the synchronization primitives in threadingĪ Pool class to facilitate submitting tasks to worker processes Objects to be transferred between processes using pipes or multi-producer/multi-consumer queues A list of issues is located at, with a legacy list maintained at. Multiprocess is in active development, so any user feedback, bug reports, comments, Multiprocess is part of pathos, a Python framework for heterogeneous computing. multiprocessing has been distributed as part of the standard library since Python 2.6. multiprocess leverages multiprocessing to support the spawning of processes using the API of the Python standard library’s threading module. multiprocess extends multiprocessing to provide enhanced serialization, using dill. Multiprocess is a fork of multiprocessing.
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