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)

Metaprogramming

In the previous chapter, we discussed asynchronous I/O and coroutines. In this chapter, we turn our attention to metaprogramming and programmable syntax. We'll discuss various ways that Python allows us to control or alter the meaning of syntactic elements and use these features beneficially.

We'll look at another programmable syntax feature of Python that meshes nicely with function decorators. We'll also discuss class decorators and how they're similar to, and different from, function decorators. Then we'll see a different way of programmatically modifying classes using metaclasses. We'll move on to a less esoteric topic and discuss context managers. Finally, we'll look at one more way of programming the semantics of basic Python operations when we look at descriptors.

Metaprogramming is a blanket term for techniques where programs...