Text Processing in Python 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Text Processing in Python

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David Mertz 作者
Addison-Wesley Professional
譯者
2003-6-12 出版日期
544 頁數
USD 54.99 價格
Paperback
叢書系列
9780321112545 圖書編碼

Text Processing in Python 在線電子書 圖書標籤: Python  文本處理  編程  程序設計  programming  計算機  技術  python   


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Text Processing in Python 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Text Processing in Python 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Text Processing in Python 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Text Processing in Python 在線電子書 用戶評價

評分

吐血啊吐血,半本書都是python library的列錶,剩下大半本書都是巨羅嗦的話,不過有一些例子還比較有用。

評分

吐血啊吐血,半本書都是python library的列錶,剩下大半本書都是巨羅嗦的話,不過有一些例子還比較有用。

評分

說實話,當時讀瞭個開頭。。

評分

Text Processing in Python is an example-driven, hands-on tutorial that carefully teaches programmers how to accomplish numerous text processing tasks using the Python language. Filled with concrete examples, this book provides efficient and effective solu

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搞文本處理的可以看看

Text Processing in Python 在線電子書 著者簡介


Text Processing in Python 在線電子書 著者簡介


Text Processing in Python 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Text Processing in Python 在線電子書 圖書描述

Text Processing in Python describes techniques for manipulation of text using the Python programming language. At the broadest level, text processing is simply taking textual information and doing something with it. This might be restructuring or reformatting it, extracting smaller bits of information from it, or performing calculations that depend on the text. Text processing is arguably what most programmers spend most of their time doing. Because Python is clear, expressive, and object-oriented it is a perfect language for doing text processing, even better than Perl. As the amount of data everywhere continues to increase, this is more and more of a challenge for programmers. This book is not a tutorial on Python. It has two other goals: helping the programmer get the job done pragmatically and efficiently; and giving the reader an understanding - both theoretically and conceptually - of why what works works and what doesn't work doesn't work. Mertz provides practical pointers and tips that emphasize efficent, flexible, and maintainable approaches to the textprocessing tasks that working programmers face daily.

From the Back Cover:

Text Processing in Python is an example-driven, hands-on tutorial that carefully teaches programmers how to accomplish numerous text processing tasks using the Python language. Filled with concrete examples, this book provides efficient and effective solutions to specific text processing problems and practical strategies for dealing with all types of text processing challenges.

Text Processing in Python begins with an introduction to text processing and contains a quick Python tutorial to get you up to speed. It then delves into essential text processing subject areas, including string operations, regular expressions, parsers and state machines, and Internet tools and techniques. Appendixes cover such important topics as data compression and Unicode. A comprehensive index and plentiful cross-referencing offer easy access to available information. In addition, exercises throughout the book provide readers with further opportunity to hone their skills either on their own or in the classroom. A companion Web site (http://gnosis.cx/TPiP) contains source code and examples from the book.

Here is some of what you will find in thie book:

* When do I use formal parsers to process structured and semi-structured data? Page 257

* How do I work with full text indexing? Page 199

* What patterns in text can be expressed using regular expressions? Page 204

* How do I find a URL or an email address in text? Page 228

* How do I process a report with a concrete state machine? Page 274

* How do I parse, create, and manipulate internet formats? Page 345

* How do I handle lossless and lossy compression? Page 454

* How do I find codepoints in Unicode? Page 465

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