Effective Python: 59 Specific Ways to Write Better Python

Brett Slatkin

ISBN 10: 0134034287 / ISBN 13: 9780134034287

Published by Pearson Education (US), 2015

About this Item

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Bibliographic Details

• Title: Effective Python: 59 Specific Ways to Write Better Python
• Publisher: Pearson Education (US)
• Publication Date: 2015
• Language: English
• ISBN 10: 0134034287
• ISBN 13: 9780134034287
• Binding: Paperback / softback
• Condition: New

About this title

Synopsis

“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

About the Author

Brett Slatkin, senior staff software engineer at Google, is engineering lead and co-founder of Google Consumer Surveys. He previously worked on Google App Engine’s Python infrastructure, leveraged Python to manage Google’s enormous server fleet, and used Python to implement Google's system for PubSubHubbub, a protocol he co-created. Slatkin holds a B.S. in computer engineering from Columbia University in the City of New York. He lives in San Francisco.