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

Asynchronous programming

Asynchronous programming has gained a lot of traction in the last few years. In Python 3.5, we finally got some syntax features that solidified the concepts of asynchronous execution. But this does not mean that asynchronous programming wasn't possible before Python 3.5. A lot of libraries and frameworks were provided a lot earlier, and most of them have origins in the old versions of Python 2. There is even a whole alternate implementation of Python called Stackless Python that concentrates on this single programming approach.

The easiest way to think about asynchronous programming in Python is to imagine something similar to threads, but without system scheduling involved. This means that an asynchronous program can concurrently process information, but the execution context is switched internally and not by the system scheduler.

But, of course, we don't use threads to concurrently handle the work in an asynchronous program. Many asynchronous...