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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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Author (1):
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Elliot Forbes Elliot Forbes
Author Profile Icon Elliot Forbes
Elliot Forbes
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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

concurrent.futures in Python 2.7


For those of you stuck in the land of Python 2.7 due to bureaucracy, having to support legacy codebase, lack of appropriate packages in Python 3.* for the tasks at hand, or whatever other reason, fear not! The futures module is still accessible through the use of pip.

pip install futures

The preceding command will give you, essentially, everything that the Python 3.2+ version of the concurrent.futures module has to offer without having to migrate your codebase.

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