Python专家编程：创新技巧与实用库

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"《Expert Python Programming》是一本深入讲解Python编程的权威指南，作者Tarek Ziadé以其丰富的经验，带领读者探索Python语言的各种精华特性及其在实际项目中的创新应用。本书不仅涵盖了Python的核心功能，如函数式编程、面向对象设计，还介绍了如何通过意想不到的方式利用这些特性来构建高效软件。书中特别关注了敏捷开发实践，例如使用Nose进行测试驱动开发（Test-Driven Development, TDD），doctest用于文档驱动开发，确保代码和文档的一致性。源代码管理方面，Mercurial被用来实现版本控制，确保团队协作的顺畅。持续集成工具Buildbot被用来自动化构建过程，提升代码质量。项目管理则依赖于Trac，帮助跟踪任务进度和问题追踪。此外，作者并未忽视传统编程话题，书中探讨了性能优化、代码剖析以及设计模式。特别提到了Alex Martelli的著名单例模式实现——Borg模式，这种设计模式对于理解和使用Python中的模块化和共享状态有重要指导作用。值得注意的是，版权信息表明，未经出版商Packt Publishing的书面许可，书中的任何部分不得复制、存储或传输，以保护知识产权。尽管作者和出版社已尽力确保信息的准确性，但书中提供的所有信息均不带有任何形式的担保，用户应自行承担可能由此产生的责任。《Expert Python Programming》首次出版于2008年9月，它不仅是初学者学习Python的实用教材，也适合有一定基础的开发者提升技能，探索Python在现代软件开发中的无限可能。通过本书，读者将学到最佳实践，掌握设计、编码和分发Python软件的关键技巧。"

Table of Contents

[ vii ]

nose 262

py.test 264

Fakes and Mocks 267

Building a Fake 268

Using Mocks 271

Document-Driven Development 273

Writing a Story 273

Summary 274

Chapter 12: Optimization: General Principles and Profiling

Techniques 27

The Three Rules of Optimization 275

Make It Work First 275

Work from the User's Point of View 276

Keep the Code Readable(and thus maintainable) 27

Optimization Strategy 277

Find Another Culprit 27

Scale the Hardware 278

Write a Speed Test 279

Finding Bottlenecks 28

Profiling CPU Usage 280

Macro-Profiling 280

Micro-Profiling 28

Measuring Pystones 287

Profiling Memory Usage 288

How Python Deals with Memory 288

Profiling Memory 290

Profiling Network Usage 295

Summary 296

Chapter 13: Optimization: Solutions 297

Reducing the Complexity 298

Measuring Cyclomatic Complexity 298

Measuring the Big-O Notation 298

Simplifying 301

Searching in a List 301

Using a Set Instead of a List 30

Cut the External Calls, Reduce the Workload 303

Using Collections 30

Multithreading 306

What is Multithreading? 307

How Python Deals with Threads 30

When Should Threading Be Used? 30

Building Responsive Interfaces 309

Delegating Work 30

Preface

[ 3 ]

Last, keep an eye on http://atomisator.ziade.org, which is the website that was

build throughout the book. It has all code sources presented and will contain errata

and other add-ons.

What You Need for This Book

This book is written for developers who work under Linux, Mac OS X or Windows.

All pre-requisites are described in the rst chapter to make sure your system is

Python-enabled and meets a few requirements.

This is important for Windows developers because they need to make sure they have

a command-line environment that is close to what Mac OS X and Linux users have

from scratch. In general, all the examples should work on any platform.

Last, keep in mind that this book is not intended to replace online resources, but

rather aims at complementing them. So obviously you will need internet access to

complete your reading experience at some points, through provided links.

Who This Book Is For

This book was written for Python developers who wish to go further in mastering

Python. Some sections of the book, such as the section on continuous integration, are

targeted at project leads.

It complements the usual How To Program In Python reference books and online

resources and goes deeper in the syntax usage.

It also explains how to be agile while coding. While this can be applied to any

language, the book concentrates on providing examples with Python. So, if you are

not practicing tests nor using version control systems, you will probably learn a lot

through this book that will help you even in other languages.

From Test-Driven Development to distributed version control systems and

continuous integration, you will learn the latest programming techniques used by

experienced Python developers on big projects.

While these topics are quickly evolving, this book will not get obsolete that easily

because it rather focuses on whys instead of hows.

So, even if a given tool presented is not used anymore, you will understand why it

was useful and you will be able to pick the right one with a critical point of view.

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Python专家编程：创新技巧与实用库

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