核心Python编程第二版：Wesley J. Chun

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"Prentice.Hall.Core.Python.Programming.2nd.Edition" 是一本由Wesley J. Chun编著的Python编程教材，第二版。这本书由Prentice Hall出版社于2006年9月18日出版，ISBN-10为0-13-226993-7，ISBN-13为978-0-13-226993-3，包含1120页的内容，涵盖了Python编程的基础到高级主题，并附有目录和索引。本书获得了业界专家的高度评价，如Alex Martelli，Python in a Nutshell的作者，他认为这本第二版深入且广泛地覆盖了Python编程，提供了有用的练习，帮助读者学习和实践良好的Python编程技巧。另一位专家David Mertz，Ph.D.，IBM DeveloperWorks的撰稿人，也推荐了这本书，认为它是目前学习Python的最佳书籍，甚至超过了其他知名Python教材，如O'Reilly出版社的"Learning Python"、"Programming Python"以及Manning出版社的"The Quick Python Book"。 Core Python Programming第二版的内容可能包括以下几个方面： 1. **Python基础**: 介绍Python的语法，如变量、数据类型（如整数、浮点数、字符串、列表、元组、字典和集合）、流程控制（如条件语句和循环）以及函数定义。 2. **面向对象编程**: 解释Python中的类和对象，继承、封装和多态等概念，以及如何利用这些特性进行面向对象设计。 3. **模块和包**: 讨论如何组织代码，导入和使用外部模块，以及创建和管理自定义的Python包。 4. **异常处理**: 介绍Python的错误和异常处理机制，包括try/except块，以及如何自定义异常。 5. **标准库**: 介绍Python标准库中的常用模块，如os、sys、datetime、re（正则表达式）和json等，以及如何利用它们进行文件操作、网络编程和数据处理。 6. **高级话题**: 涉及元编程、装饰器、生成器、上下文管理器以及Python的内存管理等进阶主题。 7. **标准数据结构**: 深入探讨Python的内置数据结构，如列表推导式、字典推导式和生成器表达式等高效编程工具。 8. **函数式编程**: 探讨Python中的函数式编程特性，如map、filter、reduce和lambda函数。 9. **单元测试与调试**: 引导读者了解如何编写和执行单元测试，使用调试工具来找出和修复程序中的错误。 10. **网络编程**: 包括套接字编程，HTTP协议，以及如何使用Python进行Web开发的基础知识。 11. **并发与多线程**: 讲解Python的并发模型，如线程、进程以及异步I/O，以及如何在Python中实现并发编程。 12. **数据库编程**: 教授如何使用Python连接和操作各种数据库，如SQLite、MySQL或PostgreSQL。 13. **Web框架**: 可能会提及流行的Python Web框架，如Django或Flask，以及如何构建Web应用。 14. **扩展Python**: 如何使用C语言编写Python扩展，或者使用ctypes库调用C动态链接库。 15. **实践项目**: 提供实际编程项目，让读者能够将所学知识应用于解决实际问题。这本书是Python初学者和有一定经验的开发者巩固和提升技能的理想选择，它不仅提供丰富的理论知识，还通过实例和练习帮助读者加深理解，培养解决问题的能力。

Praise for Core Python Programming

"The long-awaited second edition of Wesley Chun's Core Python Programming proves to

be well worth the waitits deep and broad coverage and useful exercises will help readers

learn and practice good Python."

Alex Martelli, author of Python in a Nutshell and editor of Python Cookbook

"There has been lot of good buzz around Wesley Chun's Core Python Programming. It

turns out that all the buzz is well earned. I think this is the best book currently available

for learning Python. I would recommend Chun's book over Learning Python (O'Reilly),

Programming Python (O'Reilly), or The Quick Python Book (Manning)."

David Mertz, Ph.D., IBM DeveloperWorks

"I have been doing a lot of research [on] Python for the past year and have seen a

number of positive reviews of your book. The sentiment expressed confirms the opinion

that Core Python Programming is now considered the standard introductory text."

Richard Ozaki, Lockheed Martin

"Finally, a book good enough to be both a textbook and a reference on the Python

language now exists."

Michael Baxter, Linux Journal

"Very well written. It is the clearest, friendliest book I have come across yet for

explaining Python, and putting it in a wider context. It does not presume a large amount

of other experience. It does go into some important Python topics carefully and in depth.

Unlike too many beginner books, it never condescends or tortures the reader with childish

hide-and-seek prose games. [It] sticks to gaining a solid grasp of Python syntax and

structure."

http://python.org bookstore Web site

"[If] I could only own one Python book, it would be Core Python Programming by Wesley

Chun. This book manages to cover more topics in more depth than Learning Python but

includes it all in one book that also more than adequately covers the core language. [If]

you are in the market for just one book about Python, I recommend this book. You will

enjoy reading it, including its wry programmer's wit. More importantly, you will learn

Python. Even more importantly, you will find it invaluable in helping you in your day-to-

day Python programming life. Well done, Mr. Chun!"

Ron Stephens, Python Learning Foundation

"I think the best language for beginners is Python, without a doubt. My favorite book is

Core Python Programming."

s003apr, MP3Car.com Forums

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Preface

Welcome to Core Python Programming!

We are delighted that you have engaged us to help you learn Python as quickly and as in-depth as

possible. Learning the syntax is one goal of this book; however, we also believe that if you learn how

Python works under the covers, you won't just be able to program in Python, but you will write more

effective Python applications even as a beginner to the language. As you know, just because you learn a

language's syntax does not make you competent in it right away.

Throughout the book, you will find many examples that you can try right in front of your computer. To

hammer the concepts home, you will also find fun and challenging exercises at the end of every chapter.

These easy and intermediate exercises are meant to test your learning and push your Python skills.

There simply is no substitute for experience. We believe you should not only pick up Python

programming skills but also be able to master them in as short a time period as possible.

About This Book

This book differs from other Python books on the market by presenting a broad range of topics,

providing numerous examples, and going in-depth where necessary. This book does not require a

specific background such as prior knowledge of C or object-oriented programming. It is also not a large

case study book that does not facilitate picking up the language quickly. Finally, this book is not a pure

reference nor is it meant to be a quick "dive" into Python. What we have is an extremely comprehensive

introduction to the core features of the language (

Part I) followed by a set of chapters that delve into

specific areas of intermediate Python programming.

This book is 40 percent introductory, 40 percent intermediate to advanced, and 20 percent reference. It

is targeted toward technical professionals who are already familiar with programming in one other high-

level language, as well as university/college and secondary students. Because Python is used in larger

solutions such as Zope, Plone, MailMan, and Django, this book may be used by principals developing,

managing, maintaining, or integrating with those systems.

With regards to the code in this book, about a third of the first edition readers sent in complaints that

there were not enough large, full-fledged applications in the book, or that the code examples were not

long or comprehensive enough. Everyone else wrote that they loved the short, easy-to-understand

examples and were not bored of page after page of mind-numbing code. The philosophy behind more

short examples is to give you the ability to look at a piece of code and grasp its entirety. These turn into

building blocks to understanding and then can be incorporated into larger applications as well. There are

line-by-line explanations for most of the larger programs in the book. The abundant interpreter code

snippets scattered throughout the book are there for you to try on your computer as you are learning

Pythonuse the interactive interpreter as much as possible. You not only learn and improve your Python

from using it, but you can also benefit from working out bugs in your code before you paste it into your

source file.

Because you cannot learn Python well without practice, you will find the exercises at the end of every

chapter to be one of the greatest strengths of this book. They will test your knowledge of chapter topics

and definitions, as well as get you to code as much as possible. There is no substitute to learning a

programming language faster and more effectively than by building applications. You will find easy,

intermediate, and difficult problems to solve. It is also here that you may have to write one of those

"large" applications that many readers wanted to see in the book, but rather than having me do it, you

gain the most from such exercises.

Appendix A features answers to selected problems from each

chapter.

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Preface

Another set of first edition readers remarked how useful the reference tables were throughout the book,

and how they meticulously copied them for reference. Well, instead of flipping through each chapter

looking for the tables, we have summarized the most highly used ones in

Appendix B. Thanks for all of

your feedback. I encourage you to keep talking to us and help us make a third edition possible and

better than its predecessors!

Finally, both the "Other References" appendix and the CD-ROM from the first edition are not included

with this edition. You would not believe how quickly Web links can become obsolete in six months much

less six years! The most up-to-date source code and Python interpreters can easily be downloaded for

offline use at the book's Web site, so there really is no reason to include a CD-ROM.

About the Reader

This book is meant for you if you are a programmer completely new to Python or already know some

Python but want to know more and improve your Python skillset. Python is used in many fields,

including engineering, information technology, science, business, entertainment, and so on. This means

that the list of Python users (and readers of this book) includes but is not limited to:

● Software engineers

● Hardware design/CAD engineers

● QA/testing and automation framework developers

● IS/IT/system and network administrators

● Scientists and mathematicians

● Technical or project management staff

● Multimedia or audio/visual engineers

● SCM or release engineers

● Web masters and content management staff

● Customer/technical support engineers

● Database engineers and administrators

● Research and development engineers

● Software integration and professional services staff

● Collegiate and secondary educators

● Web service engineers

● Financial software engineers

● And many others

Some of the most famous companies using Python include Google, Yahoo!, NASA, Lucasfilm/Industrial

Light and Magic, Red Hat, Zope, Disney, Pixar, and Dreamworks.

The Author's Experience with Python

I discovered Python over a decade ago at a company called Four11. At the time, the company had one

major product, the Four11.com White Page directory service. Python was being used to design our next

product: the Rocketmail Web-based e-mail service that would eventually evolve into what today is

Yahoo!Mail.

It was fun learning Python and being on the original Yahoo!Mail engineering team. I helped rearchitect

the address book and spell checker. At the time, Python also made its way as part of a number of other

Yahoo! sites, including People Search, Yellow Pages, and Maps and Driving Directions, just to name a

few. I was the lead engineer for People Search.

Although Python was new to me then, it was fairly easy to pick upmuch simpler than other languages I

had learned in the past. The scarcity of textbooks at the time led me to primarily use the Library

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核心Python编程第二版：Wesley J. Chun

Prentice.Hall.Core.Python.Programming.2nd.Edition.Sep.2006.rar

Core.Python.Programming.2nd.Edition.Prentice.Hall.(英文版.Wesley J. Chun).pdf

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