Publisher OReilly
Author(s) John Macdonald, Jon Orwant, Jarkko Hietaniemi
ISBN 1565923987
Release Date 01 August 1999
Pages 701

Written for readers with at least some Perl programming experience, Mastering Algorithms in Perl delivers a solid library of algorithms written in Perl for business and mathematical computing. From data structures to cryptography and more advanced mathematical algorithms, this book provides a worthwhile guide to extending Perls coding capabilities.

The best thing about Mastering Algorithms in Perl is the scope at which it covers the universe of algorithms while refraining from getting bogged down in academic detail. Besides basic data structuresa lynchpin of books on algorithmsthe authors provide dozens and dozens of algorithms for sorting, searching, and doing mathematical computations of all kinds. While they discuss Big-O notation and assume a general familiarity with math, they dont overwhelm the reader. (You can even borrow the code without needing a math degree to understand it.) The focus is on efficient, reusable Perl subroutines written and compiled by three Perl experts.

Standout chapters include extending Perls already powerful string processing abilities, game programming, and cryptography. Generally, the authors achieve a good mix of more advanced (and less well-known) algorithms, along with the basics. Chances are you wont need to use all the dozen or so sorting algorithms presented here, but the authors include them all, just in case. As a reference and tutorial, readers can pick and choose what they need for real-world Perl development.

There hasnt been a book dedicated exclusively to Perl algorithms prior to the publication of this one. In all, Mastering Algorithms in Perl fills a useful niche by compiling a powerful library of Perl algorithms that will be useful for anyone who works with this programming language, whether in business or academic computing. Richard Dragan

From Library Journal
Perl is very similar to C in syntax, and while Perl doesnt have the speed of complied C, it has been getting much faster. It also is one of the most portable languages, available for most hardware with no changes in code. It is free, which makes it very attractive to developers. This guide covers everything from data structures, sorting and searching, to sets and matrices, to cryptography, probability, and statistics. Readers must already know Perl, so this is recommended for advanced programming collections.

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