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Title: Python Concurrency API Documentation - Super Fast Python

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Open Graph Description: Python concurrency provides a number of different APIs. Although the standard library supports concurrency via coroutines, threads, and processes, there is no central location to access all of the relevant API documentation. Additionally, other Python documentation is very useful when using Python concurrency APIs, such as HowTos, Glossary, and more. In this guide, you will […]

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threading — Thread-based parallelismhttps://docs.python.org/3/library/threading.html
multiprocessing — Process-based parallelismhttps://docs.python.org/3/library/multiprocessing.html
multiprocessing.shared_memory — Shared memory for direct access across processeshttps://docs.python.org/3/library/multiprocessing.shared_memory.html
concurrent https://docs.python.org/3/library/concurrent.html
https://docs.python.org/3/library/threading.html
concurrent.futures — Launching parallel taskshttps://docs.python.org/3/library/concurrent.futures.html
subprocess — Subprocess managementhttps://docs.python.org/3/library/subprocess.html
sched — Event schedulerhttps://docs.python.org/3/library/sched.html
queue — A synchronized queue classhttps://docs.python.org/3/library/queue.html
contextvars — Context Variableshttps://docs.python.org/3/library/contextvars.html
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multiprocessing.connection API for dealing with socketshttps://docs.python.org/3/library/multiprocessing.html#module-multiprocessing.connection
multiprocessing.dummy Dumb wrapper around threadinghttps://docs.python.org/3/library/multiprocessing.html#module-multiprocessing.dummy
multiprocessing.managers Share data between process with shared objectshttps://docs.python.org/3/library/multiprocessing.html#module-multiprocessing.managers
multiprocessing.pool Create pools of processeshttps://docs.python.org/3/library/multiprocessing.html#module-multiprocessing.pool
multiprocessing.shared_memory Provides shared memory for direct access across processeshttps://docs.python.org/3/library/multiprocessing.shared_memory.html#module-multiprocessing.shared_memory
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PEP 3148 – futures – execute computations asynchronouslyhttps://peps.python.org/pep-3148/
PEP 342 – Coroutines via Enhanced Generatorshttps://peps.python.org/pep-0342/
PEP 334 – Simple Coroutines via SuspendIterationhttps://peps.python.org/pep-0334/
PEP 380 – Syntax for Delegating to a Subgeneratorhttps://peps.python.org/pep-0380/
PEP 492 – Coroutines with async and await syntaxhttps://peps.python.org/pep-0492/
PEP 525 – Asynchronous Generatorshttps://peps.python.org/pep-0525/
PEP 530 – Asynchronous Comprehensionshttps://peps.python.org/pep-0530/
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PEP 3153 – Asynchronous IO supporthttps://peps.python.org/pep-3153/
PEP 3156 – Asynchronous IO Support Rebooted: the “asyncio” Modulehttps://peps.python.org/pep-3156/
The Python Wikihttps://wiki.python.org/
The Python Wikihttps://wiki.python.org
Concurrencyhttps://wiki.python.org/moin/Concurrency
Parallel Processing and Multiprocessing in Pythonhttps://wiki.python.org/moin/ParallelProcessing
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