Book Image

Expert Python Programming - Fourth Edition

By : Michał Jaworski, Tarek Ziadé
Book Image

Expert Python Programming - Fourth Edition

By: Michał Jaworski, Tarek Ziadé

Overview of this book

This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. Throughout this book, you’ll get acquainted with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live, including packaging and testing automation. By the end of this book, you will have gained actionable Python programming insights that will help you effectively solve challenging problems.
Table of Contents (16 chapters)
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Elements of Metaprogramming

Metaprogramming is a collection of programming techniques that focus on the ability of programs to introspect themselves, understand their own code, and modify themselves. Such an approach to programming gives programmers a lot of power and flexibility. Without metaprogramming techniques, we probably wouldn't have modern programming frameworks, or at least those frameworks would be way less expressive.

The term metaprogramming is often shrouded in an aura of mystery. Many programmers associate it almost exclusively with programs that can inspect and manipulate their own code at the source level. Programs manipulating their own source code are definitely one of the most striking and complex examples of applied metaprogramming, but metaprogramming takes many forms and doesn't always have to be complex nor hard. Python is especially rich in features and modules that make certain metaprogramming techniques simple and natural.

In this chapter...