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Pro Perl Parsing

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  • Anonymous

    Posted June 26, 2006

    Experts guide to extracting the data you want!

    Christopher M. Frenz has put together a real how to manual for those who use Perl for parsing. Grabbing the data you want from a file can be tricky but Frenz has taken parsing from the top shelf and placed it where any Perl programmer can use it. The opening chapter is great for anyone who has had trouble understanding how to use the regular expressions as built into Perl. He explains Pattern Matching, Quantifiers, and how not to be Greedy with your pattern matching. However, the book goes far beyond the basics of regular expressions in Perl to various libraries which can be used for parsing HTML, XML, RSS, and any text based file. Chapter 2 of the book seems very heady as he discusses the use of Generative Grammars which is foundational for anyone wanting to truly understand parsing. From Chomsky's grammar to Type 1, 2, and 3 grammars, he details these structures and how to use them. Perl modules GraphViz::Regex, Regexp::Common, Parse::Yapp, Parse::RecDescent, HTML::TreeBuilder, XML::LibXML, XML::SAX, and XML::RSS are all discussed in this book and clear examples are given on how you can use them to parse files to get the data you want. In the end of the book is a section on Data Mining well worth the read dealing with Descriptive Modeling and Predictive Modeling. For anyone doing data mining work from Web based data or from Relational Databases this section can be very helpful.

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  • Anonymous

    Posted August 18, 2005

    Outstanding!

    Pro Perl Parsing is a major advance to the field of programming Perl in general, and medical-text processing in particular (among many others). Pro Perl Parsing presents a unique conceptual framework for application of regexps, and goes beyond hinting on the importance of parsing for generating medical lexicons from massive sources of patient-specific encounter data. Pro Perl Parsing sets the stage (structure) for application of programming intelligence in clinical medicine using Perl. It is an outstanding piece of scholarship! Oscar A. Linares, MD, PhD (Applied Mathematics)

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