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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In this chapter, we have discussed various ways of packaging Python libraries and applications including applications for SaaS/cloud environments as well as desktop applications. Now you should have a general idea about possible packaging tools and strategies for distributing your project. You should also know popular techniques for common problems and how to provide useful metadata to your project.

On our way, we've learned about the importance of the packaging ecosystem and details of publishing Python package distributions on package indexes. We've seen that standard distribution scripts (the files) can be useful even when not publishing code directly to PyPI.

The real fun begins when your code is made available to its users. No matter how well it is tested and how well it is designed, you will find that your application does not always behave as expected. People will report problems. You will have performance issues. Some things will inevitably...