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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

Testing strategies


While this chapter might be titled Debugging and Benchmarking, I've often found that one of the best ways to debug your codebases is to build up a range of integration tests that cover as much of your codebase as is practical. We'll begin by looking at the main reason as to why we test our code bases.

Why do we test?

So, we've gotten roughly halfway through this book, and not once have we defined any sort of tests, or ensured that the programs that we have written are verifiably correct. Up until this point, you've taken my word that the programs I have shown you do everything that I've said they do. But how can we guarantee that they give us the same results every time regardless of how many changes we make to them?

This is where your testing strategy comes into play.

In professional software development, testing your software to try and limit the bugs is one of the most important things you can do. All great software developers implement a decent testing strategy surrounding...

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