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Mastering Algorithms with Perl: Practical Programming Through Computer Science, by Jarkko Hietaniemi, John Macdonald, Jon Orwant
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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
- Sales Rank: #569657 in Books
- Brand: Brand: O'Reilly Media
- Published on: 1999-08-28
- Original language: English
- Number of items: 1
- Dimensions: 9.19" h x 1.29" w x 7.00" l, 2.19 pounds
- Binding: Paperback
- 706 pages
- Used Book in Good Condition
Amazon.com Review
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.
Review
'An O'Reilly book, and what a good one it is. And what a fun one too: a book on algorithms for Perl. Yowza! As far as I know, this is a first. But otherwise this standard O'Reilly fare: well written, well edited, well designed (note the wolf on the cover), all you will expect and get from this publisher time and time again. And no, I don't haved shares in O'Reilly!' - Julian Bucknall, Developers Review, June 2000. '...and the authors show every sign of enjoying themselves in writing it. It's a great read, as much for the byways it opens up as for the possibility of using it to attack real-world problems. It marks a sort of coming of age for the language and most people who use Perl as a day to day 'Swiss army chainsaw' will enjoy it.' - Fiachra O Marcaigh, Irish Times, February 21st 2000
Most helpful customer reviews
33 of 34 people found the following review helpful.
more perl than algorithms ...
By A Customer
After reading rave reviews about this book all over the net, I decided to check it out. I found it a bit disappointing for several reasons. First, there appear to be type setting errors that are distracting. For example, there are sections with example code with text that follows, only the text that follows appears to be introducing the next code snippet, but is actually describing the snippet above (off by 1 error?) Indeed the final code snippet in a section has no following explanatory text.
This is only a problem early on though because as the book progresses, the authors stop describing the code examples! In fact, I found myself trying to figure out what the text was doing in the chapters since all of the concepts were explained in code (without full explanations in the text).
In addition, I found the unrelated annecdotes and allusions and obscure literary quotes a further distraction. I'm sure there is a certain academic audience that would appreciate this, but I hate having to look up words only to find out I didn't really need to look them up ;-).
Some other things I disliked were the absence of hashes in the data structures section (perl has built in hashes, so you'd think a discussion on what a hash is, and hashing algorithms would be included in a perl algorithms book), and the description of algorithm analysis was too short.
On the up side, the sorting and searching sections are very thorough (the perl code implementing them, not the text explaining the code), as are the other sections. If its perl your after, this book has some of the best perl code in print (save for Joseph Hall's "Effective Perl").
In summary, if you already understand these topics, then this book will show you some excellent perl code to implement them. If you do not understand the data structures and algorithms already, I don't think this book is going to make them crystal clear (though the authors are good about referring the reader to other sources).
4 camels for the high quality perl code and thoroughness, but it could have been 5 if the authors followed through with the type of supporting text that Hall did in EP.
1 of 1 people found the following review helpful.
Perl How and Why
By John M. Ford
It's another one of those useful blue O'Reilly books with an animal on the front. A wolf, in this case. This one starts with basic data structures in Perl and then presents reusable algorithms of increasing complexity. The authors intend it for two types of readers: "...those who want to cut and paste solutions and those who want to hone their programming skills." Attempting to serve both audiences, the authors attempt to be both practical and theoretical.
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.
0 of 0 people found the following review helpful.
monzy is cool, and this book will end the crumby state ...
By Scott Deindorfer
Orwant. Monte Hall. Leonard Euler. Radix Sort. The Travelling Salesman Problem. B-Trees, Red-Black Trees, Bushier Trees. you might actually have to think! No, in fact you definitely will:
"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
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