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Software Architecture with Python

You're reading from   Software Architecture with Python Design and architect highly scalable, robust, clean, and high performance applications in Python

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786468529
Length 556 pages
Edition 1st Edition
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Author (1):
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Anand Balachandran Pillai Anand Balachandran Pillai
Author Profile Icon Anand Balachandran Pillai
Anand Balachandran Pillai
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Table of Contents (12) Chapters Close

Preface 1. Principles of Software Architecture FREE CHAPTER 2. Writing Modifiable and Readable Code 3. Testability – Writing Testable Code 4. Good Performance is Rewarding! 5. Writing Applications that Scale 6. Security – Writing Secure Code 7. Design Patterns in Python 8. Python – Architectural Patterns 9. Deploying Python Applications 10. Techniques for Debugging Index

Concurrent futures – high-level concurrent processing


The concurrent.futures module provides high-level concurrent processing using either threads or processes, while asynchronously returning data using future objects.

It provides an executor interface which exposes mainly two methods, which are as follows:

  • submit: Submits a callable to be executed asynchronously, returning a future object representing the execution of the callable.

  • map: Maps a callable to a set of iterables, scheduling the execution asynchronously in the future object. However, this method returns the results of processing directly instead of returning a list of futures.

There are two concrete implementations of the executor interface: ThreadPoolExecutor executes the callable in a pool of threads, and ProcessPoolExecutor does so in a pool of processes.

Here is a simple example of a future object that calculates the factorial of a set of integers asynchronously:

from concurrent.futures import ThreadPoolExecutor, as_completed...
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