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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Class model and object-oriented programming

The most prevalent paradigm of Python is object-oriented programming (also known as OOP). It is centered around objects that encapsulate data (in the form of object attributes) and behavior (in the form of methods). OOP is probably one of the most diverse paradigms. It has many styles, flavors, and implementations that have been developed over many years of programming history. Python takes inspiration from many other languages, so in this section, we will take a look at the implementation of OOP in Python through the prism of different languages.

To facilitate code reuse, extensibility, and modularity, OOP languages usually provide a means for either class composition or inheritance. Python is no different and like many other object-oriented languages supports the subclassing of types.

Python may not have as many object-oriented features as other OOP languages, but it has a pretty flexible data and class model that allows you to...