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Learning Concurrency in Python

You're reading from   Learning Concurrency in Python Build highly efficient, robust, and concurrent applications

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787285378
Length 360 pages
Edition 1st Edition
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Concepts
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Author (1):
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Elliot Forbes Elliot Forbes
Author Profile Icon Elliot Forbes
Elliot Forbes
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Toc

Table of Contents (13) Chapters Close

Preface 1. Speed It Up! FREE CHAPTER 2. Parallelize It 3. Life of a Thread 4. Synchronization between Threads 5. Communication between Threads 6. Debug and Benchmark 7. Executors and Pools 8. Multiprocessing 9. Event-Driven Programming 10. Reactive Programming 11. Using the GPU 12. Choosing a Solution

Communicating sequential processes


Communicating Sequential Processes, or CSP for short, is used to describe how systems that feature multiple concurrent models should interact with one another. It, typically, relies heavily on using channels as a medium for passing messages between two or more concurrent processes, and is the underlying mantra of languages like clojure and golang.

It's a concept that is certainly growing in popularity, and there are a number of fantastic talks and books on CSP that you should definitely check out.

Note

I'd recommend checking out Communicating Sequential Processes by C.A.R. Hoare, which was published in May of 2015, the link for which is this: http://www.usingcsp.com/cspbook.pdf.

After some brief research on the topic, it's fascinating to see how certain problem sets can be abstracted out quite easily using this style of programming as opposed to your more traditional object-oriented setups.

PyCSP

PyCSP is a Python library that implements the core primitives found...

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