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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785881114
Length 340 pages
Edition 1st Edition
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Author (1):
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Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
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Table of Contents (13) Chapters Close

Preface 1. Understanding Microservices FREE CHAPTER 2. Discovering Flask 3. Coding, Testing, and Documenting - the Virtuous Cycle 4. Designing Runnerly 5. Interacting with Other Services 6. Monitoring Your Services 7. Securing Your Services 8. Bringing It All Together 9. Packaging and Running Runnerly 10. Containerized Services 11. Deploying on AWS 12. What Next?

Coroutines

To make asynchronous programming more straightforward, the await and async keywords were introduced in Python 3.5, along with the coroutine type. The await call is almost equivalent to yield from, as its goal is to let you call a coroutine from another coroutine.

The difference is that you can't use the await call to call a generator (yet).

The async keyword marks a function, a for or a with loop, as being a native coroutine, and if you try to use that function, you will not retrieve a generator but a coroutine object.

The native coroutine type that was added in Python is like a fully symmetric generator, but all the back and forth is delegated to an event loop, which is in charge of coordinating the execution.

In the example that follows, the asyncio library is used to run main(), which, in turn, calls several coroutines in parallel:

    import asyncio 
 
   ...
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