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The first edition (2001) was the go-to handbook for Perl developers who needed to coerce scruffy, inconsistent data into tidy, predictable formats. Twenty-four years on, data is bigger, messier and more multilingual – and Perl has evolved to match.
This edition adds:
Understand how to effectively parse complex data structures for easier manipulation and analysis.
Learn techniques to efficiently clean and preprocess messy data for accurate analysis and reporting.
Master the art of transforming data formats to suit various applications and integration needs.
"A non-academic, on-the-money, practical book on converting, filtering and parsing data"
The second edition of Data Munging with Perl is structured around a practical, format-driven approach to working with messy data. Each chapter focuses on a different kind of structure or technique — from simple lines of text to nested formats and binary records — with real-world examples throughout.
iWhy Perl is still an excellent tool for data wrangling.
Modern Perl syntax and idioms every munging script needs.
Techniques for parsing free-form or chaotic input.
Reading and unpacking data where position matters.
Extracting meaningful data from markup with modern tools.
Regex, grammars and Regexp::Grammars.
Core principles for approaching any munging task.
Using regex and Perl’s pattern tools to extract structure.
Working with delimited, structured text formats like CSV.
Introducing parsers for complex data.
Parsing and generating XML, YAML and JSON effectively.
What you've learned and where to learn more.
Reviews of the first edition
Cross has written a well-designed book with helpful examples and insights. The accompanying book web site and author web site provide downloadable code and other resources. This book is of course most useful to those working in Perl. But many general concepts and strategies have transferred well to data munging tasks I have done in TextPipe.
You're shown all the handy tricks you need such as piping, taking input from standard in as well as files, slurping paragraphs etc. My 4-star rating applies if this sounds like what you need: it's a clear, short and to-the-point book, which is definitely taking with you on your first journey into data munging.
Day-to-day, in the trenches, this is the book that has influenced my own coding more than any other. Lucid and practical; every page brims with proven advice..
After a bit of research I bought this book last week, I'm just sorry that I didn't buy it months ago. I like the style that it's written in, and it's chock-a-block full of useful information. I've been writing Perl (hacking at it really) for about six months now, and this is just the sort of stuff that I need to improve my skills.
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