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Robust Python by Patrick Viafore

Robust Python

Write Clean and Maintainable Code

Patrick Viafore

O'Reilly Media · Print & ebook · August 17, 2021

Does it seem like your Python projects are getting bigger and bigger?

Object-Oriented ProgrammingPython ProgrammingTesting & QA
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Who it’s for
Python developers seeking ways to maintain growing codebases
Themes
Python type systems, Code maintainability, Testing and code safety
Genres
Python Programming, Testing & QA, Object-Oriented Programming

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About this book

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.

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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

Where it sits

Python Programming100%
Testing & QA56%
Object-Oriented Programming51%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Python Programming
  • Open Source Development
  • Dev Tools & Workflow
  • Web Programming
Authors
Patrick Viafore
Publisher
O'Reilly Media
Published
August 17, 2021
Format
Print & ebook
Theme
Python type systems · Code maintainability · Testing and code safety
Reading lane
Python Programming