Project Description

multitask allows Python programs to use generators
(a.k.a. coroutines) to perform cooperative
multitasking and asynchronous I/O. Applications
written using multitask consist of a set of
cooperating tasks that yield to a shared task
manager whenever they perform a (potentially)
blocking operation, such as I/O on a socket or
getting data from a queue. The task manager
temporarily suspends the task (allowing other
tasks to run in the meantime) and then restarts it
when the blocking operation is complete. Such an
approach is suitable for applications that would
otherwise have to use select() and/or multiple
threads to achieve concurrency.

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