Core Python Programming (2nd Edition) - Wesley J. Chun

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"Core Python Programming (2nd Edition) 是一本由Wesley J. Chun编写的Python编程书籍，第二版发布于2006年。这本书由Prentice Hall出版社出版，ISBN-10为0-13-226993-7，ISBN-13为978-0-13-226993-3，总共有1120页。书中有详细的目录和索引，并受到了业界知名人士的好评。" 在"Core Python Programming (2nd Edition)"中，读者可以期待学习到广泛的Python编程知识，包括但不限于以下几个方面： 1. **Python基础**：本书将引导读者了解Python的基础语法，如变量、数据类型（包括整型、浮点型、字符串、列表、元组、字典和集合）、控制结构（条件语句、循环）、函数定义和调用、异常处理等。 2. **面向对象编程**：Python是一种支持面向对象编程的语言，书中会详细介绍类与对象的概念，封装、继承和多态等面向对象的基本原则，以及如何在Python中实现这些概念。 3. **模块和包**：Python的模块和包机制使得代码组织和重用变得简单。读者将学习如何创建、导入和使用模块，以及如何构建和管理包。 4. **文件和输入/输出**：学习如何在Python中读写文件，理解文件对象和不同类型的打开模式，以及如何处理文件异常。 5. **高级话题**：包括装饰器、生成器、上下文管理器、元编程等Python的高级特性也会在书中有所涉及，这些知识对于编写更高效、可维护的代码至关重要。 6. **标准库和第三方库**：介绍Python的标准库，如OS模块、sys模块、re模块（正则表达式）等，以及如何利用第三方库如NumPy、Pandas和Matplotlib进行科学计算和数据分析。 7. **网络编程**：Python在网络编程方面非常强大，读者可以学习如何使用socket库进行网络通信，以及HTTP协议和Web开发的基础知识。 8. **单元测试和调试**：了解如何编写测试用例，使用unittest模块进行单元测试，以及如何调试Python代码以找出和修复错误。 9. **并发和多线程**：Python中的并发模型，包括线程和进程，以及GIL（全局解释器锁）的影响和应对策略。 10. **实践应用**：通过实际项目或练习，让读者将所学知识应用于解决实际问题，提升编程技能。本书受到多位专家的高度评价，被认为是最好的Python入门书籍之一，适合初学者和有一定经验的开发者作为参考。其深入浅出的讲解和丰富的练习题将帮助读者系统地掌握Python编程，并建立起良好的编程习惯。

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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