Effective Python: 59 Specific Ways to Write Better Python

Effective Software Development

by Brett Slatkin

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 "

Genres: Programming, Computer Science, Technology, Technical, Coding, Nonfiction, Reference

227 pages, Paperback

First published February 1, 2015

Reviews

[Dmitry Demidov]

Отличный справочник по Python для программистов любого уровня. Обязательное чтение перед собеседованиями. Да и просто неплохо бы хотя бы раз в год перечитывать.

Summary - https://github.com/termith/books/blob...

[snpefk]

Хоть некоторые советы были из разряда заметок Капитана Очевидность, те, что не были поменяли мой подход к делу на более clear&cool style 👌 и показали много неочевидных "приколов". Шикарная книга, десять из десяти.