Data Munging with Perl: Amazon.ca: David Cross: Books

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" . . . well written, informative, thought provoking . . . will be as relevant five years from now as it is today. . . . buy [one]." -- Dr. Dobb’s Journal

"A very good resource for programmers who want to learn more about data parsing, data filters, and data conversion..." -- ACM Computing Reviews

"I found the sample problems and the author's solutions to be very well done. I especially liked the design tips..." -- Pikes Peak Perl Mongers

"Well worth the price, and a good starting point for more advanced forays." -- Use.Perl.com

the chapters are concise, the coverage is comprehensive, and the examples are plentiful and relevant. -- Web Techniques Magazine

Book Description

Techniques for using Perl to recognize, parse, transform, and filter data.

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Customer Reviews

8 Reviews

5 star:		(5)
4 star:		(2)
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Average Customer Review

4.2 out of 5 stars (8 customer reviews)

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5.0 out of 5 stars Belongs on every sysadmin's desk, July 2 2002

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Sean Burke (Edmonton, Alberta, Canada) - See all my reviews
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Ce commentaire est de: Data Munging with Perl (Paperback)

This book isn't about arcane corners of Perl theory. It's about how to write Perl programs that perform the "simple" task of converting data from one format to another.

Need to get every headline from an RSS feed? Or report the three users with the most processes running, as listed by `ps`? Or extract the first paragraph from each of a thousand HTML files? Or make a .tsv file based on all the "From:" and "Subject:" lines in your mailbox file? If those sorts of tasks sound familiar to you, then this is the book you've been looking for. It has working code for doing these sorts of things, involving lots of different common kinds of formats.

By tech book standards, this book is short (300 pages), but it's clear and direct and to the point -- no bloat here. Every page tells you something you need to know, with useful examples for every idea that it explains.

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5.0 out of 5 stars Valuable for its _clarity_, July 24 2001

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Robert J. Monn (NY,NY USA) - See all my reviews
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Ce commentaire est de: Data Munging with Perl (Paperback)

After reading this book I rewrote a pretty massive postscript pasrsing and munging system that I was having a lot of trouble with and felt like I did it the _right_ way. If you follow the author through his examples and actually read the book (which I was able to read almost straight through) I think that you will find yourself with a more long-view approach. And I think that makes this book valuable. And admit it, every time you read throgh a regex chapter you get a little more in the old noggin...

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4.0 out of 5 stars Good for data-processing *beginners*, July 6 2001

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Goldin Evgeny (Tel-Aviv, Israel) - See all my reviews
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Ce commentaire est de: Data Munging with Perl (Paperback)

It's a guide. David takes you through the different "data munging" tasks ( record oriented data ? binary data ? fixed-width data ? XML ? ) and shows you his proper ways of dealing with them ( or, at least, thinking about them ). It's not an encyclopedia of "data munging", the book is 300 pages and many of them ( too many, may be ) are detailed descriptions of useful CPAN modules ( which I wasn't reading as careful as the rest of the book, since POD was always enough ), so it covers only a usual data processing tasks letting you to go deeper by yourself for more advanced topics. After you'll finish it much less "data sources" will scare you - the solutions and references are inside.

As I said, it may be good for data-processing beginners, but Perl experts will hardly find lot's of new information in it.

P.S. I trust him and therefore follow his advices in every script I start to think of ( especially the one about "UNIX filter model" ).

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Most recent customer reviews

1.0 out of 5 stars 7 years ago this would have been good.
I was hoping this book would provide some valuable routines for processing data, but instead it has proved virtually useless in my day to day job as a UNIX data center... Lisez davantage

Published on Jun 11 2001