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Parallel Programming with Python
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Index
Afast,easy-to-followandcleartutorialtohelpyoudevelopParallelcomputingsystemsusingPython.Alongwithexplainingthefundamentals,thebookwillalsointroduceyoutoslightlyadvancedconceptsandwillhelpyouinimplementingthesetechniquesintherealworld.IfyouareanexperiencedPythonprogrammerandarewillingtoutilizetheavailablecomputingresourcesbyparallelizingapplicationsinasimpleway,thenthisbookisforyou.YouarerequiredtohaveabasicknowledgeofPythondevelopmenttogetthemostofthisbook.
目錄(65章)
倒序
- coverpage
- Parallel Programming with Python
- Credits
- About the Author
- Acknowledgments
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Contextualizing Parallel Concurrent and Distributed Programming
- Why use parallel programming?
- Exploring common forms of parallelization
- Communicating in parallel programming
- Identifying parallel programming problems
- Discovering Python's parallel programming tools
- Taking care of Python GIL
- Summary
- Chapter 2. Designing Parallel Algorithms
- The divide and conquer technique
- Using data decomposition
- Decomposing tasks with pipeline
- Processing and mapping
- Summary
- Chapter 3. Identifying a Parallelizable Problem
- Obtaining the highest Fibonacci value for multiple inputs
- Crawling the Web
- Summary
- Chapter 4. Using the threading and concurrent.futures Modules
- Defining threads
- Using threading to obtain the Fibonacci series term with multiple inputs
- Crawling the Web using the concurrent.futures module
- Summary
- Chapter 5. Using Multiprocessing and ProcessPoolExecutor
- Understanding the concept of a process
- Implementing multiprocessing communication
- Using multiprocessing to compute Fibonacci series terms with multiple inputs
- Crawling the Web using ProcessPoolExecutor
- Summary
- Chapter 6. Utilizing Parallel Python
- Understanding interprocess communication
- Discovering PP
- Using PP to calculate the Fibonacci series term on SMP architecture
- Using PP to make a distributed Web crawler
- Summary
- Chapter 7. Distributing Tasks with Celery
- Understanding Celery
- Understanding Celery's architecture
- Setting up the environment
- Dispatching a simple task
- Using Celery to obtain a Fibonacci series term
- Defining queues by task types
- Using Celery to make a distributed Web crawler
- Summary
- Chapter 8. Doing Things Asynchronously
- Understanding blocking nonblocking and asynchronous operations
- Understanding event loop
- Using asyncio
- Summary
- Index 更新時間：2021-07-16 11:22:31
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