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Parallel Programming with Python

You're reading from   Parallel Programming with Python Develop efficient parallel systems using the robust Python environment.

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783288397
Length 124 pages
Edition 1st Edition
Languages
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Author (1):
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 Palach Palach
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Palach
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Toc

Table of Contents (10) Chapters Close

Preface 1. Contextualizing Parallel, Concurrent, and Distributed Programming 2. Designing Parallel Algorithms FREE CHAPTER 3. Identifying a Parallelizable Problem 4. Using the threading and concurrent.futures Modules 5. Using Multiprocessing and ProcessPoolExecutor 6. Utilizing Parallel Python 7. Distributing Tasks with Celery 8. Doing Things Asynchronously Index

Index

A

  • apply() method
    • about / Working with tasks
  • apply_async() method
    • about / Working with tasks
  • arguments, Server class
    • ncpus / Discovering PP
    • ppservers / Discovering PP
  • arguments, submit method
    • func / Discovering PP
    • args / Discovering PP
    • modules / Discovering PP
    • callback / Discovering PP
  • Asgard-desktop / Using PP to make a distributed Web crawler
  • asynchronous operations
    • about / Understanding asynchronous operations
  • asyncio
    • URL / Using event loops
    • about / Using asyncio
    • using / Using asyncio
    • coroutine, defining / Understanding coroutines and futures
    • coroutine and asyncio.Future, using / Using coroutine and asyncio.Future
    • .Task class, using / Using asyncio.Task
    • incompatible library, using with / Using an incompatible library with asyncio
  • asyncio.Future object
    • and coroutine, using / Using coroutine and asyncio.Future
  • asyncio.Task class
    • using / Using asyncio.Task
  • AsyncResult class / Using Celery to obtain a...
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