Python网络编程基石（第2版）：全面指南

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"《Python网络编程基础：第二版》是一本由Brandon Rhodes和John Goerzen合著的专业指南，专为那些想要利用Python进行网络应用开发的专家和学习者提供全面的知识。本书是开源领域的权威之作，第二版在2010年发行，旨在帮助读者掌握Python在网络编程中的实践技巧。本书涵盖了Python网络编程的各个方面，从基础概念到高级技术，包括但不限于套接字编程、网络协议（如TCP/IP）、多线程和异步处理、网络库的使用（如socket、asyncio等），以及如何设计和实现高效的网络服务。读者可以借此深入了解Python如何与互联网交互，构建分布式系统、Web服务器、客户端应用程序，甚至网络监控工具。作者们强调版权保护，确保所有内容未经许可不得复制或传播。本书采用国际标准书号(ISBN-13) 978-1-4302-3003-8，并采用按需印刷方式在美国出版。书中可能包含商标名、标志和图像，这些符号仅在首次提及时使用，以尊重知识产权。对于那些正在寻求提升网络编程技能的Python开发者来说，这本书是一本不可或缺的参考资料，无论是初学者希望打下坚实的基础，还是经验丰富的开发者寻求进阶知识，都能从中找到宝贵的信息和实用的实例。通过深入学习本书，读者将能够熟练地运用Python语言解决复杂的网络问题，推动自己的项目向前发展。"

■ 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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