Text Processing in Python - Softcover

Mike Hendrickson; Mertz, David

Softcover

ISBN 10: 0321112547 ISBN 13: 9780321112545

Publisher: Addison-Wesley Professional, 2003

Synopsis

Text Processing with Python, written by Python authority David Mertz, teaches programmers how to accomplish numerous text processing tasks using the Python language. Filled with concrete examples, this book provides effective solutions to specific text processing problems and practical strategies for dealing with all types of text processing challenges. It provides the answers to questions such as: What is the best way to convert from binary to ASCII?; How do I work with full text indexing?; How do I find a URL or an email address in text?; What are the different levels of pattern matching?; How do I process a report with a concrete state machine?; How do I parse, create and manipulate HTML documents?; How do I handle a lossless and lossy compression?; And what is the most efficient way to find codepoints in Unicode?

About this title

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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About the Author

David Mertz came to writing about programming via the unlikely route of first being a humanities professor. Along the way, he was a senior software developer, and now runs his own development company, Gnosis Software ("We know stuff!"). David writes regular columns and articles for IBM developerWorks, Intel Developer Network, O'Reilly ONLamp, and other publications.

0321112547AB05022003

Edition details

• Publisher: Addison-Wesley Professional
• Publication date: 2003
• ISBN 10: 0321112547
• ISBN 13: 9780321112545
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 544