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Expert Python Programming

You're reading from   Expert Python Programming Write professional, efficient and maintainable code in Python

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785886850
Length 536 pages
Edition 2nd Edition
Languages
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Author (1):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
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Table of Contents (16) Chapters Close

Preface 1. Current Status of Python FREE CHAPTER 2. Syntax Best Practices – below the Class Level 3. Syntax Best Practices – above the Class Level 4. Choosing Good Names 5. Writing a Package 6. Deploying Code 7. Python Extensions in Other Languages 8. Managing Code 9. Documenting Your Project 10. Test-Driven Development 11. Optimization – General Principles and Profiling Techniques 12. Optimization – Some Powerful Techniques 13. Concurrency 14. Useful Design Patterns Index

Why concurrency?

Before we answer the question why concurrency, we need to ask what is concurrency at all?

And the answer to the second question may be surprising for some who used to think that this is a synonym for parallel processing. But concurrency is not the same as parallelism. Concurrency is not a matter of application implementation but only a property of a program, algorithm, or problem. And parallelism is only one of the possible approaches to problems that are concurrent.

Leslie Lamport in his Time, Clocks, and the Ordering of Events in Distributed Systems paper from 1976, says:

"Two events are concurrent if neither can causally affect the other."

By extrapolating events to programs, algorithms, or problems, we can say that something is concurrent if it can be fully or partially decomposed into components (units) that are order-independent. Such units may be processed independently from each other, and the order of processing does not affect the final result. This means...

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