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Mastering Algorithms with Perl: Practical Programming Through Computer Science Paperback – August 28, 1999
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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.
Top customer reviews
There are great examples of creating and accessing nested data structures, references, etc. as well as the map and sort that makes them really stand out. By the time you are half way through the book you'll be an expert in slicing and dicing any hierarchy of arrays, hashes, and references. Other books cover these topics, but using them with data structures and algorithms makes them really stick. I may never write a sort algorithm, but my code is much tidier now.
"you wrap in exponential time, and I'm Big O of log n"
If you don't understand that statement, well, monzy is cool, and this book will end the crumby state of affairs forever.
Once you read this, you can't go back.. you'll understand Algorithms sort of.. so be warned
The book begins with basic and advanced data structures. The next series of chapters each address basic programming tasks such as sorting, searching, and working with sets, matrices, graphs, and strings. The final set of chapters is organized by topic area, covering geometric algorithms, number systems, number theory, cryptography, probability, statistics, and numerical analysis. A concluding appendix suggests additional readings.
The format and quality are familiar to readers of other O'Reilly books. It is a good, readable exploration of algorithms implemented in Perl. You will need to get the latest version of Perl on your own. No problems with that, either.