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《深入浅出Python》(深入浅出Python)扫描版[PDF]

发布时间:2012/11/02 17:05 | 更新时间:2012/11/02 17:25

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名称:《深入浅出Python》(深入浅出Python)扫描版[PDF]
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发行年代:2012年
发布时间:2012年11月02日
更新时间:2012年11月02日
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介绍

语言: 英文 地区: 英国 图书分类: 网络 中文名: 深入浅出Python 发行时间: 2011年5月 原名: 深入浅出Python 资源格式: PDF 版本: 扫描版 简介:
内容简介:
你是否想过通过一本书来学习Python?《深入浅出Python))通过一种独特的超越语法手册的方式来帮助你学习Python。你将能够快速掌握Python的基础知识,然后扩展到持久化、异常处理、Web开发、SQLite、数据处理和Google应用引擎中去。
你也将学会如何为Android编写移动应用,这要感谢Pvthon带给你的强大能力。《深入浅出Python》融合了完备的学习经验,它将帮助你成为真正的Python编程员。
作者简介:
Paul Barry is formally educated and trained in Computer Science and holds a Masters Degree in Computing Science. He has been programming professionally, on and off, for close to 25 years. Paul already has two textbooks to his name, and is also a Contributing Editor to Linux Journal magazine. His day job is with the Institute of Technology, Carlow in Ireland where he has spent over a decade preparing Ireland’s next generation of computing folk to be productive in the workforce. His role as a third level educator affords him the opportunity to explore, learn and teach the very latest programming technologies and practices, which is something that he enjoys even though he knows this makes him a bonafide “geek”. Paul lives just outside the town of Carlow in Ireland with his wife, two sons, daughter, dog and cat. There’s a bunch of computers and a growing collection of music instruments in the house, too (and like a lot of the Head First family, Paul is a struggling guitarist trapped inside a geek’s body). He has so far resisted any suggestion that the family acquire a hamster … or a set of drums.
内容截图:
目录: Table of Contents(Summary)
Table of Contents(the real thing)
1 meet python Everyone love lists
2 sharing your code Modules of functions
3 files and exceptions Dealing with errors
4 persistence Saving data to files
5 comprehending data Work that data!
6 custom data objects Bunding code with data
7 Web development Putting it all together
8 mobile app development Small devices
9 manage your data Handling input
10 scaling your webapp Getting real
11 dealing with complexity Data wrangling
i leftovers The Top Ten Things(We didn t cover)
.....

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