中文名: 深入淺出Python原名: 深入淺出Python
作者: 巴里圖書
分類: 網(wǎng)絡(luò)
資源格式: PDF
版本: 掃描版
出版社: 東南大學(xué)出版社
書號: 9787564126759
發(fā)行時(shí)間: 2011年5月
地區(qū): 英國
語言: 英文
簡介:
內(nèi)容簡介：
你是否想過通過一本書來學(xué)習(xí)Python？《深入淺出Python))通過一種獨(dú)特的超越語法手冊的方式來幫助你學(xué)習(xí)Python。你將能夠快速掌握Python的基礎(chǔ)知識，然后擴(kuò)展到持久化、異常處理、Web開發(fā)、SQLite、數(shù)據(jù)處理和Google應(yīng)用引擎中去。
你也將學(xué)會如何為Android編寫移動應(yīng)用，這要感謝Pvthon帶給你的強(qiáng)大能力。《深入淺出Python》融合了完備的學(xué)習(xí)經(jīng)驗(yàn)，它將幫助你成為真正的Python編程員。
作者簡介：
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.
目錄:
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)
.....