Python 3网络编程基础（第二版）- 370页精华

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"Foundations of Python 3 Network Programming, Second Edition 是一本由 Brandon Rhodes 和 John Goerzen 合著的书籍，共370页，主要关注于使用Python进行网络编程的基础知识。本书是Python网络应用开发的全面指南，涵盖了构建网络应用所需的各种技术。" 在Python 3网络编程基础中，读者将学习到以下关键知识点： 1. **网络基础知识**：了解网络通信的基本概念，如TCP/IP协议、套接字（socket）编程，以及如何在Python中实现这些概念。 2. **HTTP协议**：深入理解HTTP协议的工作原理，包括请求和响应的结构，以及如何使用Python的requests库或urllib库来发送和接收HTTP请求。 3. **Web服务**：学习如何使用Python与各种Web服务交互，如API调用，XML-RPC，RESTful API，以及SOAP服务。 4. **网络客户端编程**：编写能够连接到服务器并交换数据的Python程序，如FTP客户端、SMTP邮件发送、NNTP新闻组访问等。 5. **服务器端编程**：创建可以处理并发连接的网络服务器，使用Python的HTTP服务器模块、WebSocket服务器、FTP服务器等。 6. **网络安全**：探讨网络安全问题，如SSL/TLS加密，以及如何在Python中实现安全的网络通信。 7. **多线程和异步I/O**：学习如何利用Python的多线程或多进程模型处理并发请求，以及如何使用非阻塞I/O和事件驱动编程（如asyncio库）提高性能。 8. **网络数据解析**：解析和生成常见的网络数据格式，如JSON、XML、HTML等，以及使用BeautifulSoup等库进行网页抓取。 9. **网络调试和测试**：掌握网络应用的调试技巧，使用网络分析工具，以及编写测试用例来确保代码的正确性。 10. **网络性能优化**：了解如何通过缓存、负载均衡和性能监控来优化网络应用的性能。这本书适合有一定Python基础，希望进一步学习网络编程的开发者。通过阅读和实践书中的示例，读者可以建立起强大的Python网络编程能力，从而能够开发出高效、可靠的网络应用。

■ CONTENTS

xiv

Talking About Objects: Pyro and RPyC ........................................................................ 316

An RPyC Example ........................................................................................................ 317

RPC, Web Frameworks, Message Queues .................................................................. 319

Recovering From Network Errors ................................................................................ 320

Binary Options: Thrift and Protocol Buffers ................................................................. 320

Summary ..................................................................................................................... 321

■Index ................................................................................................................. 323



xvii

Acknowledgements

This book owes its very existence to John Goerzen, whose work in writing the first edition of Foundations

of Python Network Programming indeed provided the foundation on which this volume has been built.

The excellent example he set by supplying complete, working example programs has guided me at every

step. Where his examples were not obsolete, I have worked to retain his source code so that it can benefit

another generation of readers.

The editorial team at Apress provided ample support during this experience—my first attempt at

revising something the length of an entire book—and the quality of the result is in large part thanks to

Laurin Becker’s gentle encouragement, Michael R. Bernstein’s very knowledgeable technical reviews,

and Matt Wade’s holding the rudder to keep each chapter on course. Michael’s reviews, in particular,

were a model of what an author needs: frequent encouragement when a chapter has gone well, tips and

links to more information when coverage of a topic is sketchy, and frank dismay when part of a chapter

has gone off the rails. Several parts of this book that will please readers will do so because their first draft

was not adequate, and Michael suggested the direction in which the chapter needed to move instead.

And, of course, the copy editors and layout people all did much work as well, and I want to thank Mary

Ann Fugate in particular for imposing her good taste about when to use “which” and when to use “that,”

which (that?) has produced much smoother English.

Every reader of this book should join me in thanking the Python core developers and the community

that has grown up around Python for every single tool, routine, and function referenced in this book.

And as John Goerzen did in the first edition’s acknowledgments, I want to express gratitude to the early

generations of programmers like Richard Stallman, who demonstrated that programming could be an

open, happy, and cooperative discipline that did not impose the physical world’s economics of scarcity

onto the world of freely copied programs. To those who prefer more negative forms of protest, I offer

Joss Whedon’s mantra about creativity: “The greatest expression of rebellion is joy.”

And, finally, I would like to thank my mother for letting me spend enough time in front of the computer

when I was growing up, and my father for raising me in a house with shelves of books about Unix. He

chose an AT&T 3B1 as our home computer. While other students in grade school were learning about the

abysmal world of DOS, I was learning about awk, C, and multi-processing—background that prepared

me to appreciate Python’s beauty the moment I saw it.

Brandon Craig Rhodes

Midtown Atlanta

19 November 2010

■ INTRODUCTION

xviii

Introduction

You have chosen an exciting moment in computing history to embark on a study of network

programming. Machine room networks can carry data at speeds comparable to those at which machines

access their own memory, and broadband now reaches hundreds of millions of homes worldwide. Many

casual computer users spend their entire digital lives speaking exclusively to network services; they are

only vaguely aware that their computer is even capable of running local applications.

This is also a moment when, after 20 solid years of growth and improvement, interest in Python

really seems to be taking off. This is different from the trajectory of other popular languages, many of

which experience their heyday and go into decline long before the threshold of their third decade. The

Python community is not only strong and growing, but its members seem to have a much better feel for

the language itself than they did a decade ago. The advice we can share with new Python programmers

about how to test, write, and structure applications is vastly more mature than what passed for Pythonic

design a mere decade ago.

Both networking and Python programming are large topics, and their intersection is a rich and

fertile domain. I wish you great success! Whether you just need to connect to a single network port, or

are setting out to architect a complex network service, I hope that you will remember that the Internet is

an ecosystem that remains healthy so long as individual programmers honor public protocols and

support interoperability so that solutions can grow, compete, and thrive.

Writing even the simplest network program inducts you into the grand tradition started by the

inventors of the Internet, and I hope you enjoy the tools and the power that they have placed in our

hands. I like the encouragement that John Goerzen, the author of the first edition of this book, gave his

readers in his own introduction: “I want this to be your lab manual—your guide for inventing things that

make the Internet better.”

Assumptions

This book assumes that you know how to program in Python, but does not assume that you know

anything about networking. If you have used something like a web browser before, and are vaguely

aware that your computer talks to other computers in order to display web pages, then you should be

ready to start reading this book.

This book targets Python versions 2.5, 2.6, and 2.7, and in the text I have tried to note any differences

that you will encounter between these three versions of Python when writing network code.

As of this writing, the Python 2 series is still the workaday version of the language for programmers

who use Python in production. In fact, the pinnacle of that line of language development—Python 2.7—

was released just a few months ago, and a second bugfix release is now in testing. Interest in the

futuristic Python 3 version of the language is still mostly limited to framework authors and library

maintainers, as they embark on the community's several-year effort to port our code over to the new

version of the language.

If you are entirely new to programming, then an Amazon search will suggest several highly rated

books that use Python itself to teach you the basics. A long list of online resources, some of which are

complete e-books, is maintained at this link: wiki.python.org/moin/BeginnersGuide/NonProgrammers.

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Python 3网络编程基础（第二版）- 370页精华

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