Text Processing in Python (豆瓣)

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作者: David Mertz

ISBN: 9780321112545
定价: USD 54.99
出版社: Addison-Wesley Professional
装帧: Paperback
出版年: 2003-06-02

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简介 · · · · · ·

　　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 ... (展开全部) 　　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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Python(43) 文本处理(11) 程序设计(9) programming(7) 编程(7) 技术(2) 经典(2) 自由软件(1)

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字符串处理方面的介绍，东西很多，可以过一遍
狼外婆(苦练二郎神)

看之前被其他人的书评中用到的“自然语言”的字样唬到了，其实除了有一章介绍了几个词法和语法解释库以外，别的都是很常用的。形式是以介绍为主，把很多和文本处理相关的库和函数都走一遍，写几个小例子，点到为止。内容包括文件系统操作，字符串处理，正则，internet工具，状态机。这些都是经常要用到的。......

2009-03-19