Book Image

Daniel Arbuckle's Mastering Python

By : Daniel Arbuckle
Book Image

Daniel Arbuckle's Mastering Python

By: Daniel Arbuckle

Overview of this book

Daniel Arbuckle's Mastering Python covers the basics of operating in a Python development environment, before moving on to more advanced topics. Daniel presents you with real-world solutions to Python 3.6 and advanced-level concepts, such as reactive programming, microservices, ctypes, and Cython tools. You don't need to be familiar with the Python language to use this book, as Daniel starts with a Python primer. Throughout, Daniel highlights the major aspects of managing your Python development environment, shows you how to handle parallel computation, and helps you to master asynchronous I/O with Python 3.6 to improve performance. Finally, Daniel will teach you the secrets of metaprogramming and unit testing in Python, helping you acquire the perfect skillset to be a Python expert. Daniel will get you up to speed on everything from basic programming practices to high-end tools and techniques, things that will help set you apart as a successful Python programmer.
Table of Contents (13 chapters)

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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