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Mastering Algorithms with Perl

by John Macdonald, Jon Orwant, and Jarkko Hietaniemi


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About Book

Amazon.com
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 Perl's 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 structures--a lynchpin of books on algorithms--the 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 don't 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 Perl's 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 won't 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 hasn't 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

Topics covered: Perl data types, Big-O notation, data structures, queues, deques, linked lists, binary trees, sorting and searching algorithms, game and dynamic programming, sets and multisets, matrices and graphs, string matching and parsing, 2-D geometry, number systems, cryptography (including DES and RSA), probability, statistics, and numerical analysis.

From Library Journal
Perl is very similar to C in syntax, and while Perl doesn't 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.
Copyright 1999 Reed Business Information, Inc.

Book Description
Many programmers would love to use Perl for projects that involve heavy lifting, but miss the many traditional algorithms that textbooks teach for other languages. Computer scientists have identified many techniques that a wide range of programs need, such as:

  • Fuzzy pattern matching for text (identify misspellings!)
  • Finding correlations in data
  • Game-playing algorithms
  • Predicting phenomena such as Web traffic
  • Polynomial and spline fitting
Using algorithms explained in this book, you too can carry out traditional programming tasks in a high-powered, efficient, easy-to-maintain manner with Perl. This book assumes a basic understanding of Perl syntax and functions, but not necessarily any background in computer science. The authors explain in a readable fashion the reasons for using various classic programming techniques, the kind of applications that use them, and -- most important -- how to code these algorithms in Perl. If you are an amateur programmer, this book will fill you in on the essential algorithms you need to solve problems like an expert. If you have already learned algorithms in other languages, you will be surprised at how much different (and often easier) it is to implement them in Perl. And yes, the book even has the obligatory fractal display program. There have been dozens of books on programming algorithms, some of them excellent, but never before has there been one that uses Perl. The authors include the editor of The Perl Journal and master librarian of CPAN; all are contributors to CPAN and have archived much of the code in this book there. "This book was so exciting I lost sleep reading it." Tom Christiansen

Book Info
Assuming some experience in programming this text will provide information on the essential algorithms you need to solve problems in the manner of an expert. Explains the reasons for using various classic programming techniques, the kind of applications that use them, and how to code these algorithms in Perl. Softcover.

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