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Foundations of Python Network Programming : The Comprehensive Guide to Building Network Applications with Python by John Goerzen, Tim Bower and Brandon Rhodes (2010, Trade Paperback)

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Foundations of Python Network Programming: The Comprehensive Guide to Building Network Applications with Python by Goerzen, John; Bower, Tim; Rhodes, Brandon Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less

About this product

Product Identifiers

PublisherApress L. P.

ISBN-101430230037

ISBN-139781430230038

eBay Product ID (ePID)102973638

Product Key Features

Number of PagesXx, 368 Pages

Publication NameFoundations of Python Network Programming : The Comprehensive Guide to Building Network Applications with Python

LanguageEnglish

Publication Year2010

SubjectSoftware Development & Engineering / General, Hardware / General, Programming Languages / Python

FeaturesNew Edition

TypeTextbook

Subject AreaComputers

AuthorJohn Goerzen, Tim Bower, Brandon Rhodes

FormatTrade Paperback

Dimensions

Item Weight23.3 Oz

Item Length9.3 in

Item Width7.5 in

Additional Product Features

Edition Number2

Intended AudienceScholarly & Professional

Number of Volumes1 vol.

IllustratedYes

Table Of Content1 Introduction to Client/Server Networking.- 2 UDP.- 3 TCP.- 4 Socket Names and DNS.- 5 Network Data and Network Errors.- 6 TLS and SSL.- 7 Server Architecture.- 8 Caches, Message Queues, and Map-Reduce.- 9 HTTP.- 10 Screen Scraping.- 11 Web Applications.- 12 E-mail Composition and Decoding.- 14 SMTP.- 14 POP.- 15 IMAP.- 16 Telnet and SSH.- 17 FTP.- 18 RPC.

Edition DescriptionNew Edition

SynopsisThis second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition's expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: E-mail protocols like SMTP, POP, and IMAP get full treatment, as does XML-RPC. You can still learn how to code Python network programs using the Telnet and FTP protocols, but you are likely to appreciate the power of more modern alternatives like the paramiko SSH2 library. If you are a Python programmer who needs to learn the network, this is the book that you want by your side., 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.

LC Classification NumberQA76.73.P98