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Learn Python Programming

You're reading from   Learn Python Programming The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788996662
Length 508 pages
Edition 2nd Edition
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (16) Chapters Close

Preface 1. A Gentle Introduction to Python FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. OOP, Decorators, and Iterators 7. Files and Data Persistence 8. Testing, Profiling, and Dealing with Exceptions 9. Cryptography and Tokens 10. Concurrent Execution 11. Debugging and Troubleshooting 12. GUIs and Scripts 13. Data Science 14. Web Development 15. Other Books You May Enjoy

Concurrent Execution

"What do we want? Now! When do we want it? Fewer race conditions!"
– Anna Melzer

In this chapter, I'm going to up the game a little bit, both in terms of the concepts I'll present, and in the complexity of the code snippets I'll show you. If you don't feel up to the task, or as you are reading through you realize it is getting too difficult, feel free to skip it. You can always come back to it when you feel ready.

The plan is to take a detour from the familiar single-threaded execution paradigm, and deep dive into what can be described as concurrent execution. I will only be able to scratch the surface of this complex topic, so I won't expect you to be a master of concurrency by the time you're done reading, but I will, as usual, try to give you enough information so that you can then proceed by walking the path...

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