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Distributed Computing with Python
Francesco Pierfederici
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Distributed Computing with PythonFrancesco Pierfederici
This book is for Python developers who have developed Python programs for data processing and now want to learn how to write fast, efficient programs that perform CPU-intensive data processing tasks.
This book is for Python developers who have developed Python programs for data processing and now want to learn how to write fast, efficient programs that perform CPU-intensive data processing tasks.
简介
This book is for Python developers who have developed Python programs for data processing and now want to learn how to write fast, efficient programs that perform CPU-intensive data processing tasks.
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出版社Packt Publishing
出版时间2016年4月
字数213,549
分类计算机-编程设计
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Distributed Computing with Python
Francesco Pierfederici
- 扉页
- 版权信息+书签
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- Preface
- Chapter 1. An Introduction to Parallel and Distributed Computing
- Parallel computing
- Distributed computing
- Shared memory versus distributed memory
- Amdahl s law
- The mixed paradigm
- Summary
- Chapter 2. Asynchronous Programming
- Coroutines
- An asynchronous example
- Summary
- Chapter 3. Parallelism in Python
- Multiple threads
- Multiple processes
- Multiprocess queues
- Closing thoughts
- Summary
- Chapter 4. Distributed Applications – with Celery
- Establishing a multimachine environment
- Installing Celery
- Testing the installation
- A tour of Celery
- More complex Celery applications
- Celery in production
- Celery alternatives – Python-RQ
- Celery alternatives – Pyro
- Summary
- Chapter 5. Python in the Cloud
- Cloud computing and AWS
- Creating an AWS account
- Creating an EC2 instance
- Storing data in Amazon S3
- Amazon elastic beanstalk
- Creating a private cloud
- Summary
- Chapter 6. Python on an HPC Cluster
- Your typical HPC cluster
- Job schedulers
- Running a Python job using HTCondor
- Running a Python job using PBS
- Debugging
- Summary
- Chapter 7. Testing and Debugging Distributed Applications
- The big picture
- Common problems – clocks and time
- Common problems – software environments
- Common problems – permissions and environments
- Common problems – the availability of hardware resources
- Challenges – the development environment
- A useful strategy – logging everything
- A useful strategy – simulating components
- Summary
- Chapter 8. The Road Ahead
- The first two chapters
- The tools
- The cloud and the HPC world
- Debugging and monitoring
- Where to go next
- Index
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