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Daniel Arbuckle???s Mastering Python

You're reading from   Daniel Arbuckle???s Mastering Python Build powerful Python applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787283695
Length 274 pages
Edition 1st Edition
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Author (1):
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Daniel Arbuckle Daniel Arbuckle
Author Profile Icon Daniel Arbuckle
Daniel Arbuckle
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Table of Contents (13) Chapters Close

Preface 1. Python Primer 2. Setting Up FREE CHAPTER 3. Making a Package 4. Basic Best Practices 5. Making a Command-Line Utility 6. Parallel Processing 7. Coroutines and Asynchronous I/O 8. Metaprogramming 9. Unit Testing 10. Reactive Programming 11. Microservices 12. Extension Modules and Compiled Code

Function annotations

In this section, we'll take a look at how to associate metadata with functions beyond docstrings, which we discussed in Chapter 4, Basic Best Practices. In the previous section, one of our examples was a decorator that automatically passed all our decorated function arguments through an adapter.

That's pretty cool, but what if we want to handle each parameter differently?

Sure, we could pass a whole bunch of adapters to the wrapper, but it becomes ugly and clumsy as we start dealing with functions that accept more parameters. What we'd really like to do is attach metadata directly to a function's parameters. Fortunately, that's exactly what function annotations are for.

Function annotation syntax

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