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本书不是要讲述 Python 的基础编程，而是要帮你掌握 Python 独特的优势和魅力。书中总结了 59个 Python 编程的优秀实践、贴士和捷径，并用真实代码示例进行了解释。全书共分 8 章，第 1 章讲述Python 的风格思想，介绍了 Python 中常见问题的推荐解决方案；第 2 章讲述如何使用 Python 函数来阐明意图、提升可重用性，并减少错误；第 3 章介绍如何使用类和继承来表达你对对象的预期行为；第4章介绍了使用这些元类和属性的常用语法；第5章讲述如何在并行和并发的场景下利用好Python；第 6 章讲述 Python 中必要的内置模块；第 7 章教你如何合作开发 Python 程序；第 8 章介绍如何使用Python 调试、优化和测试程序。

前言
致谢
关于作者
Chapter 1: Pythonic Thinking
Item 1: Know Which Version of Python You’re Using
Item 2: Follow the PEP 8 Style Guide
Item 3: Know the Differences Between  bytes ,  str , and  unicode
Item 4: Write Helper Functions Instead of Complex Expressions
Item 5: Know How to Slice Sequences
Item 6: Avoid Using  start ,  end , and  stride in a Single Slice
Item 7: Use List Comprehensions Instead of  map and  filter
Item 8: Avoid More Than Two Expressions in List Comprehensions
Item 9: Consider Generator Expressions for Large Comprehensions
Item 10: Prefer  enumerate Over  range
Item 11: Use  zip to Process Iterators in Parallel
Item 12: Avoid  else Blocks After  for and  while Loops
Item 13: Take Advantage of Each Block in  try / except / else / finally
Chapter 2: Functions
Item 14: Prefer Exceptions to Returning  None
Item 15: Know How Closures Interact with Variable Scope
Item 16: Consider Generators Instead of Returning Lists
Item 17: Be Defensive When Iterating Over Arguments
Item 18: Reduce Visual Noise with Variable Positional Arguments
Item 19: Provide Optional Behavior with Keyword Arguments
Item 20: Use  None and Docstrings to Specify Dynamic Default Arguments
Item 21: Enforce Clarity with Keyword-Only Arguments
Chapter 3: Classes and Inheritance
Item 22: Prefer Helper Classes Over Bookkeeping with Dictionaries and Tuples
Item 23: Accept Functions for Simple Interfaces Instead of Classes
Item 24: Use  @classmethod Polymorphism to Construct Objects Generically
Item 25: Initialize Parent Classes with  super
Item 26: Use Multiple Inheritance Only for Mix-in Utility Classes
Item 27: Prefer Public Attributes Over Private Ones
Item 28: Inherit from  collections.abc for Custom Container Types
Chapter 4: Metaclasses and Attributes
Item 29: Use Plain Attributes Instead of Get and Set Methods
Item 30: Consider  @property Instead of Refactoring Attributes
Item 31: Use Descriptors for Reusable  @property Methods
Item 32: Use  __getattr__ ,  __getattribute__ , and __setattr__ for Lazy Attributes
Item 33: Validate Subclasses with Metaclasses
Item 34: Register Class Existence with Metaclasses
Item 35: Annotate Class Attributes with Metaclasses
Chapter 5: Concurrency and Parallelism
Item 36: Use  subprocess to Manage Child Processes
Item 37: Use Threads for Blocking I/O, Avoid for Parallelism
Item 38: Use  Lock to Prevent Data Races in Threads
Item 39: Use  Queue to Coordinate Work Between Threads
Item 40: Consider Coroutines to Run Many Functions Concurrently
Item 41: Consider  concurrent.futures for True Parallelism
Chapter 6: Built-in Modules
Item 42: Define Function Decorators with  functools.wraps
Item 43: Consider  contextlib and  with Statements for Reusable  try / finally Behavior
Item 44: Make  pickle Reliable with  copyreg
Item 45: Use  datetime Instead of  time for Local Clocks
Item 46: Use Built-in Algorithms and Data Structures
Item 47: Use  decimal When Precision Is Paramount
Item 48: Know Where to Find Community-Built Modules
Chapter 7: Collaboration
Item 49: Write Docstrings for Every Function, Class, and Module
Item 50: Use Packages to Organize Modules and Provide Stable APIs
Item 51: Define a Root  Exception to Insulate Callers from APIs
Item 52: Know How to Break Circular Dependencies
Item 53: Use Virtual Environments for Isolated and Reproducible Dependencies
Chapter 8: Production
Item 54: Consider Module-Scoped Code to Configure Deployment Environments
Item 55: Use  repr Strings for Debugging Output
Item 56: Test Everything with  unittest
Item 57: Consider Interactive Debugging with  pdb
Item 58: Profile Before Optimizing
Item 59: Use  tracemalloc to Understand Memory Usage and Leaks
Index

程序设计- Python

关于作者__eol__Brett Slatkin 是一名谷歌高级软件工程师，他是谷歌消费者调查的工程主管兼联合创始人之一。他曾供职于 Google App Engine 的 Python 基础设置部门。他是 PubSubHubbub 协议的创建者之一。十年前，年纪轻轻的他就已经在用 Python 来管理谷歌庞大的服务器机群了。__eol__除了日常工作之外，他还研究开源的工具，会在他的个人网站（ http://onebigfluke.com ）写软件、自行车等方面的文章。他获得了哥伦比亚大学（纽约）计算机工程学士学位。目前住在旧金山。

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Effective Python：编写高质量Python代码的59个有效方法 英文版

Effective Python：编写高质量Python代码的59个有效方法英文版