【EFY】Effective Python: 59 Specific Ways to Write Better Python_Slatki

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[商品主貨號] U101894460

[ISBN-13碼] 9780134034287

[ISBN] 0134034287

[作者] Slatkin, Brett

[出版社] Addison-Wesley Professional

[出版日期] 2015/02/26

[內容簡介] (出版商制式文字, 不論標題或內容簡介是否有標示, 請都以『沒有附件、沒有贈品』為參考。)

Each item in Slatkin's Effective Python teaches a self-contained lesson with its own source code. This makes the book random-access: Items are easy to browse and study in whatever order the reader needs. I will be recommending Effective Python to students as an admirably compact source of mainstream advice on a very broad range of topics for the intermediate Python programmer.

--Brandon Rhodes, software engineer at Dropbox and chair of PyCon 2016-2017

It's easy to start coding with Python, which is why the language is so popular. However, Python's unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up.

Effective Python will help you master a truly Pythonic approach to programming, harnessing Python's full power to write exceptionally robust and well-performing code. Using the concise, scenario-driven style pioneered in Scott Meyers' best-selling Effective C++, Brett Slatkin brings together 59 Python best practices, tips, and shortcuts, and explains them with realistic code examples.

Drawing on years of experience building Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully impact code behavior and performance. You'll learn the best way to accomplish key tasks, so you can write code that's easier to understand, maintain, and improve.

Key features include

Actionable guidelines for all major areas of Python 3.x and 2.x development, with detailed explanations and examples

Best practices for writing functions that clarify intention, promote reuse, and avoid bugs

Coverage of how to accurately express behaviors with classes and objects

Guidance on how to avoid pitfalls with metaclasses and dynamic attributes

More efficient approaches to concurrency and parallelism

Better techniques and idioms for using Python's built-in modules

Tools and best practices for collaborative development

Solutions for debugging, testing, and optimization in order to improve quality and performance)

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