Название: Robust Python: Write Clean and Maintainable Code (Final)
Автор: Patrick Viafore
Издательство: O’Reilly Media, Inc.
Год: 2021
Страниц: 381
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB, 10.15 MB

Does it seem like your Python projects are getting bigger and bigger? Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes. In this practical book, author Patrick Viafore shows you how to use Python's type system to the max. You'll look at user-defined types, such as classes and enums, and Python's type hinting system. You'll also learn how to make Python extensible and how to use a comprehensive testing strategy as a safety net. With these tips and techniques, you'll write clearer and more maintainable code. Learn why types are essential in modern development ecosystems Understand how type choices such as classes, dictionaries, and enums reflect specific intents Make Python extensible for the future without adding bloat Use popular Python tools to increase the safety and robustness of your codebase Evaluate current code to detect common maintainability gotchas Build a safety net around your codebase with linters and tests.

Who Should Read This Book:
This book is for any Python developer who is looking to grow the code they work on in a sustainable and maintainable fashion. This is not intended to be your first Python text; I expect that you have written Python before. You should be comfortable with Python control flow, and have worked with classes before. If you are looking for a more introductory text, I suggest reading Learning Python by Mark Lutz (O’Reilly) first.

While I will be covering many advanced Python topics, the goal of this book is not to be a how-to for using all of Python’s features. Instead, the features are a backdrop for a larger conversation about robustness and how your choices impact maintainability. At times I will discuss strategies that you should rarely use, if at all. That is because I want to illustrate first principles of robustness; the journey of understanding why and how we make decisions in code is more important than knowing what tools to use in an optimal scenario. In practice, the optimal scenario is a rare occurence. Use the principles in this book to draw your own conclusions from your codebase.