Python核心编程：从入门到高级技术

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"《Core Python Programming》是一本由Wesley J. Chun所著的专业Python核心编程指南，由Prentice Hall PTR出版，首次发行于2000年12月14日。该书共分为两部分：Part I - Core Python（核心Python）和Part II - Advanced Topics（高级主题），旨在为开发者提供全面的学习资源。在第一部分，读者将深入学习Python的基础特性，包括但不限于简洁易懂的语法、面向对象编程（即便可以用作过程性语言）、模块化设计等。这使得Python在软件开发领域迅速流行，因其简单、强大、可扩展和易于学习的特点。新版本的Python 1.6和2.0中的功能也被涵盖，确保了读者能紧跟技术更新。第二部分则涵盖了更高级的主题，如正则表达式、多线程编程、网络及互联网开发、使用Tkinter进行图形用户界面（GUI）设计等。这些内容对于希望在复杂系统环境中利用Python进行深度开发的开发者来说是必不可少的。特别值得一提的是，本书还附带一张光盘，其中包含完整的Python发行版，包括源代码、文档以及书中涉及的各种二进制工具，同时提供了所有示例脚本，方便读者实践和巩固所学知识。如果你是Python的新手，这本书将是你的理想入门教程，而对于已经掌握基础的开发者来说，它则是一个提升技能、探索新领域的绝佳参考。无论你是要从事网络编程、系统编程，还是希望通过Python简化开发流程，这本书都能满足你的需求，帮助你在快速发展的软件开发环境中保持竞争力。"

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Part I: Core Python

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Features of Python

Although practically a decade in age, Python is still somewhat relatively new to the general

software development industry. We should, however, use caution with our use of the word

"relatively," as a few years seem like decades when developing on "Internet time."

When people ask, "What is Python?" it is difficult to say any one thing. The tendency is to

want to blurt out all the things that you feel Python is in one breath. Python is

(fill-in-the-blanks here). Just what are some of those blanks? For your sanity, we will

elucidate on each here… one at a time.

High-level

It seems that with every generation of languages, we move to a higher level. Assembly was a

godsend for those who struggled with machine code, then came FORTRAN, C, and Pascal,

all of which took computing to another plane and created the software development industry.

These languages then evolved into the current compiled systems languages C++ and Java.

And further still we climb, with powerful, system-accessible, interpreted scripting languages

like Tcl, Perl, and Python. Each of these languages has higher-level data structures that

reduce the "framework" development time which was once required. Useful types like

Python's lists (resizeable arrays) and dictionaries (hash tables) are built into the language.

Providing these crucial building blocks encourages their use and minimizes development

time as well as code size, resulting in more readable code. Implementing them in C is

complicated and often frustrating due to the necessities of using structures and pointers, not

to mention repetitious if some forms of the same data structures require implementation for

every large project. This initial setup is mitigated somewhat with C++ and its use of

templates, but still involves work that may not be directly related to the application that

needs to be developed.

Object-oriented

Object-oriented programming (OOP) adds another dimension to structured and procedural

languages where data and logic are discrete elements of programming. OOP allows for

associating specific behaviors, characteristics, and/or capabilities with the data that they

execute on or are representative of. The object-oriented nature of Python was part of its

design from the very beginning. Other OO scripting languages include SmallTalk, the

original Xerox PARC language that started it all, and Netscape's JavaScript.

Scalable

Python is often compared to batch or Unix shell scripting languages. Simple shell scripts

handle simple tasks. They grow (indefinitely) in length, but not truly in depth. There is little

code-reusability and you are confined to small projects with shell scripts. In fact, even small

projects may lead to large and unwieldy scripts. Not so with Python, where you can grow

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