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)
14
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15
Index

Event-Driven Programming

In the previous chapter, we discussed various concurrency implementation models that are available in Python. To better explain the concept of concurrency, we used the following definition:

Two events are concurrent if neither can causally affect the other.

We often think about events as ordered points in time that happen one after another, often with some kind of cause-effect relationship. But, in programming, events are understood a bit differently. They are not necessarily "things that happen." Events in programming are more often understood as independent units of information that can be processed by the program. And that very notion of events is a real cornerstone of concurrency.

Concurrent programming is a programming paradigm for processing concurrent events. And there is a generalization of that paradigm that deals with the bare concept of events—no matter whether they are concurrent or not. This approach to...