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Distributed Computing with Python

You're reading from   Distributed Computing with Python Harness the power of multiple computers using Python through this fast-paced informative guide

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781785889691
Length 170 pages
Edition 1st Edition
Languages
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Author (1):
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Rasheedh B Rasheedh B
Author Profile Icon Rasheedh B
Rasheedh B
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Toc

Table of Contents (10) Chapters Close

Preface 1. An Introduction to Parallel and Distributed Computing 2. Asynchronous Programming FREE CHAPTER 3. Parallelism in Python 4. Distributed Applications – with Celery 5. Python in the Cloud 6. Python on an HPC Cluster 7. Testing and Debugging Distributed Applications 8. The Road Ahead Index

Index

A

  • Allinea MAP / The big picture
    • reference link / Debugging and monitoring
  • alternatives, Celery
    • Python-RQ / Celery alternatives – Python-RQ
    • Pyro / Celery alternatives – Pyro
  • Amazon EC2 / Establishing a multimachine environment
  • Amazon Elastic Beanstalk (EB)
    • about / Cloud computing and AWS, Amazon elastic beanstalk
    • reference link / Amazon elastic beanstalk
  • Amazon Elastic Block Store (EBS) / Cloud computing and AWS
  • Amazon Elastic Compute Cloud (EC2) / Cloud computing and AWS
  • Amazon Machine Image (AMI) / Creating an EC2 instance
  • Amazon S3
    • about / Cloud computing and AWS
    • data, storing / Storing data in Amazon S3
  • Amdahl's law / Amdahl's law, The first two chapters
  • asynchronous programming
    • example / An asynchronous example
    • reference link / An asynchronous example
  • AWS
    • and cloud computing / Cloud computing and AWS
  • AWS account
    • creating / Creating an AWS account
    • reference...
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