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Python Parallel Programming Cookbook

You're reading from   Python Parallel Programming Cookbook Master efficient parallel programming to build powerful applications using Python

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Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781785289583
Length 286 pages
Edition 1st Edition
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Author (1):
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Giancarlo Zaccone Giancarlo Zaccone
Author Profile Icon Giancarlo Zaccone
Giancarlo Zaccone
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Table of Contents (8) Chapters Close

Preface 1. Getting Started with Parallel Computing and Python 2. Thread-based Parallelism FREE CHAPTER 3. Process-based Parallelism 4. Asynchronous Programming 5. Distributed Python 6. GPU Programming with Python Index

Event loop management with Asyncio

The Python module Asyncio provides facilities to manage events, coroutines, tasks and threads, and synchronization primitives to write concurrent code. The main components and concepts of this module are:

  • An event loop: The Asyncio module allows a single event loop per process
  • Coroutines: This is the generalization of the subroutine concept. Also, a coroutine can be suspended during the execution so that it waits for external processing (some routine in I/O) and returns from the point at which it had stopped when the external processing was done.
  • Futures: This defines the Future object, such as the concurrent.futures module that represents a computation that has still not been accomplished.
  • Tasks: This is a subclass of Asyncio that is used to encapsulate and manage coroutines in a parallel mode.

In this recipe, the focus is on handling events. In fact, in the context of asynchronous programming, events are very important since they are inherently asynchronous...

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