Python / multiprocessing module

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316 (+0) ⭐

Handler for logging from multiple processes

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aioprocessing 🌿
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A Python 3.5+ library that integrates the multiprocessing module with asyncio

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multiprocess 🌿
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better multiprocessing and multithreading in python

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This repo parallelizes mAP_evaluation using python's multiprocessing module.

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mputil πŸ‚
35 (+0) ⭐

Utility functions for Python's multiprocessing standard library module

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Multiprocessing (Process-based parallelism) using Python. Multiprocessing is a Python package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Due to this, the multiprocessing module allows the programmer to fully leverage multiple processors on a given machine. It runs on both Unix and Windows. The multiprocessing module also introduces APIs which do not have analogs in the threading module. A prime example of this is the Pool object which offers a convenient means of parallelizing the execution of a function across multiple input values, distributing the input data across processes (data parallelism). The following examples demonstrate the common practice of defining such functions in a module so that child processes can successfully import that module.

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awesome-python 🌿
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