Python核心编程：英文版深入解析

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"Python Core Programming English Edition" 《Python Core Programming》是Wesley J. Chun编写的书籍，专注于介绍Python编程语言的核心概念和技术。这本书是第二版的英文版，旨在为开发者提供全面的Python开发指南。内容涵盖从基础到高级的主题，如正则表达式、多线程编程、Web/互联网和网络开发、以及使用Tkinter进行图形用户界面（GUI）开发等。书中还包含了Python 1.6和2.0新版本中引入的特性。对于初学者，本书深入浅出地介绍了Python的基础知识，包括其简洁明了的语法结构，这使得Python既适合对象导向编程，也适合过程化编程。Python的可扩展性使得它能够与其他语言集成，而它的可伸缩性则确保了在大型项目中的高效性能。书中通过实例和练习帮助读者掌握这些概念，提供了丰富的实践机会。此外，随书附带的CD-ROM包含了完整的Python发行版，包括源代码、文档以及书中的所有示例脚本，这为读者提供了实际操作和学习的宝贵资源。对于想要在快速发展的软件环境中提升Python技能的开发者来说，这是一个极好的学习工具。 Python语言的流行得益于其诸多优点。它是一种系统和互联网编程语言，可以轻松处理复杂的编程任务。Python的动态类型和垃圾回收机制减少了程序员的负担，而其面向对象的特性支持模块化和复用代码。同时，Python还具有强大的标准库，涵盖了网络、操作系统接口、数学计算等多个领域，极大地提高了开发效率。《Python Core Programming》第二版英文版是一本全面且深入的Python教程，无论你是新手还是有一定经验的开发者，都能从中受益，提升Python编程能力。通过学习本书，你将能够利用Python的强大功能进行各种类型的软件开发，并跟上这个不断进化的语言的步伐。

IT-SC book: Core Python Programming

I discovered Python several years 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 the Rocketmail web-based email service that would eventually

one day evolve into what is Yahoo!Mail today.

In addition to the use of C++, much of the controlling software and web front-end were

done completely in Python. I participated in work done on the Yahoo!Mail address book

and spellchecker. Since then, Python's appearance has spread to other Yahoo! sites,

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

few.

Although Python was new to me at the time, it was fairly easy to pick up; much simpler

than other languages that I have learned in the past. The scarcity of the number of

textbooks at the time led me to primarily use the Library Reference and Quick Reference

Guide as my tools in learning, and also led to the motivation of the book you are reading

right now.

Book Contents

This book is divided into two main sections. The first part, taking up about two-thirds of

the text, gives you treatment of the "core" part of the language, and the second part

provides a set of various advanced topics to show what you can build using Python.

Python is everywhere—sometimes it is amazing to discover who is using Python and

what they are doing with it—and although we would have loved to produce additional

chapters on such topics as Databases (RDBMSs, SQL, etc.), CGI Processing with

HTMLgen, XML, Numerical/Scientific Processing, Visual and Graphics Image

Manipulation, and Zope, there simply wasn't enough time to develop these topics into

their own chapters. However, we are certainly glad that we were at least able to provide

you with a good introduction to many of the key areas of Python development.

Here is a chapter-by-chapter guide:

Part I: Core Python

Chapter 1—Welcome to Python!

We begin by introducing Python to you, its history, features, benefits, etc., as well as how

to obtain and install Python on your system.

Chapter 2—Getting Started

If you are an experienced programmer and just want to see "how it's done" in Python, this

is the right place to go. We introduce the basic Python concepts and statements, and

because many of these would be familiar to you, you would simply learn the proper

IT-SC book: Core Python Programming

syntax in Python and can get started right away on your projects without sacrificing too

much reading time.

Chapter 3—Syntax and Style

This section gives you a good overview of Python's syntax as well as style hints. You will

also be exposed to Python's keywords and its memory management ability. Your first

Python application will be presented at the end of the chapter to give you an idea of what

real Python code looks like.

Chapter 4—Python Objects

This chapter introduces Python objects. In addition to generic object attributes, we will

show you all of Python's data types and operators, as well as show you different ways to

categorize the standard types. Built-in functions that apply to most Python objects will

also be covered.

Chapter 5—Numbers

Python has four numeric types: regular or "plain" integers, long integers, floating point

real numbers, and complex numbers. You will learn about all four here, as well as the

operators and built-in functions that apply to numbers.

Chapter 6—Sequences: Strings, Lists, and Tuples

Your first meaty chapter will expose you to all of Python's powerful sequence types:

strings, lists, and tuples. We will show you all the built-in functions, methods, and special

features, which apply to each type as well as all their operators.

Chapter 7—Dictionaries

Dictionaries are Python's mapping or hashing type. Like other data types, dictionaries

also have operators and applicable built-in functions and methods.

Chapter 8—Conditionals and Loops

Like many other high-level languages, Python supports loops such as for and while, as

well as if statements (and related). Python also has a built-in function called range()

which enables Python's for loop to behave more like a traditional counting loop rather

than the foreach iterative type loop that it is.

Chapter 9—Files and Input/Output

In addition to standard file objects and input/output, this chapter introduces you to file

system access, file execution, and persistent storage.

IT-SC book: Core Python Programming

Chapter 10—Errors and Exceptions

One of Python's most powerful constructs is its exception handling ability. You can see a

full treatment of it here, instruction on how to raise or throw exceptions, and more

importantly, how to create your own exception classes.

Chapter 11—Functions

Creating and calling functions are relatively straightforward, but Python has many other

features that you will find useful, such as default arguments, named or keyword

arguments, variable-length arguments, and some functional programming constructs. We

also dip into variable scope and recursion briefly.

Chapter 12—Modules

One of Python's key strengths is in its ability to be extended. This feature allows for

"plug-n-play" access as well as promotes code reuse. Applications written as modules can

be imported for use by other Python modules with a single line of code. Furthermore,

multiple module software distribution can be simplified by using packages.

Chapter 13—Classes and OOP

Python is a fully object-oriented programming language and was designed that way from

the beginning. However, Python does not require you to program in such a manner—you

may continue to develop structural/procedural code as you like, and can transition to

"OO" programming anytime you are ready to take advantage of its benefits. Likewise,

this chapter is here to guide you through the concepts as well as advanced topics, such as

operator overloading, customization, and delegation.

Chapter 14—Execution Environment

The term "execution" can mean many different things, from callable and executable

objects to running other programs (Python or otherwise). We discuss these topics in this

chapter, as well as limited restricted execution and different ways of terminating

execution.

Part II: Advanced Topics

Chapter 15—Regular Expressions

Regular expressions are a powerful tool used for pattern matching, extracting, and search-

and-replace functionality. Learn about them here.

IT-SC book: Core Python Programming

Chapter 16—Network Programming with Sockets

So many applications today need to be network-oriented. You have to start somewhere.

In this chapter, you will learn to create clients and servers, using TCP/IP and UDP/IP.

Chapter 17—Multithreaded Programming

Multithreaded programming is a powerful way to improve the execution performance of

many types of application. This chapter ends the drought of written documentation on

how to do threads in Python by explaining the concepts and showing you how to

correctly build a Python multithreaded application.

Chapter 18—GUI Programming with Tkinter

Based on the Tk graphical toolkit, Tkinter is Python's default GUI development module.

We introduce Tkinter to you by showing you how to build simple sample GUI

applications (say that 10 times, real fast!). One of the best ways to learn is to copy, and

by building on top of some of these applications, you will be on your way in no time. We

conclude the chapter by presenting a more complex example.

Chapter 19—Web Programming

Web programming using Python takes three main forms… Web clients, Web servers, and

the popular Common Gateway Interface applications which help Web servers deliver

dynamically-generated Web pages. We will cover them all in this chapter: simple and

advanced Web clients and CGI applications, as well as how to build your own Web

server.

Chapter 20—Extending Python

We mentioned earlier how powerful it is to have the ability to reuse code and extend the

language. In pure Python, these extensions are modules, but you can also develop lower-

level code in C, C++, or Java, and interface those with Python in a seamless fashion.

Writing your extensions in a lower-level programming language gives you added

performance and some security (because the source code does not have to be revealed).

This final chapter of the book walks you step-by-step through the extension building

process.

Optional Sections

Subsections or exercises marked with an asterisk ( * ) may be skipped due to their

advanced or optional nature. They are usually self-contained segments that can be

addressed at another time.

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