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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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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

Debugging


Being able to debug your code is a key skill that any software developer must be able to do. As our systems grow ever more complex, the potential for bugs within our code grows exponentially, and knowing the best practices for debugging in certain scenarios could save you a substantial amount of time.

The techniques I'll be showing you next will work for both single-threaded and multithreaded applications. For brevity, I'll only be demonstrating these techniques on simple, single-threaded applications, but I implore you to try and become as familiar with these tools as possible, and practice using them in multithreaded scenarios.

Make it work as a single thread

Imagine you were writing a new AI-based system that would drastically improve the sales that your website makes, or be able to place trades that would make you a multi-millionaire overnight. You've spent months working on this system, and you are very close to cracking it and making it work perfectly, but you think it's running...

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