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Mastering Algorithms with Perl: Practical Programming Through Computer Science, by Jarkko Hietaniemi Jon Orwant
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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.
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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.
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Product details
Paperback: 706 pages
Publisher: O'Reilly Media; 1st edition (August 28, 1999)
Language: English
ISBN-10: 1565923987
ISBN-13: 978-1565923980
Product Dimensions:
7 x 1.3 x 9.2 inches
Shipping Weight: 2.2 pounds (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
23 customer reviews
Amazon Best Sellers Rank:
#902,034 in Books (See Top 100 in Books)
I learned as much about Perl as I did about data structures and algorithms.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.
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.
Mastering Algorithms with Perl is an intermediate to advanced text describing traditional algorithms and data structures through Perl. It assumes a basic understanding of Perl. And while the average reader will be able to progress through the better part of the book with no background in computer science, the last third of the book requires at least a passing familiarity with Calculus, advanced mathematical notation, and covers topics from the vantage those already initiated to Probability, Statistics, Cryptology, and Number Theory.That said, the book has something for everyone. Beginner and Intermediate level Perl programmers will find the book's materials information dense but approachable. Advanced programmers will find a well written refresher illustrating familiar concepts in Perl. Given the breadth of the book and the language specific insights, even experience Perl programmers should expect to learn a thing or two.Topics covered include: linked lists, circular linked lists, garbage collection, doubly-linked lists, infinite lists, binary trees, heaps, binary heaps, janus heaps, sorting, searching, sets, matrices, graphs, strings, geometric algorithms, number systems, number theory, cryptography, probability, statistics, and numerical analysis.I've found that while the book is somewhat daunting, it goes down best a little bit at a time: read a chapter, then work through the examples. The first time I attempted to read the book I got about a third of the way through before stopping, scanning the rest, and putting it back on the shelf. A couple months later as I was working on a problem involving graphs and trees, the book came back down. And as interesting and complicated problems present themselves, I often find myself reaching for it.It covers an awful lot in 701 tightly packed pages. Have you ever wondered how regular expressions work? Hashes? Insights into their internal workings are in there. It is an excellent reference and fills a much needed gap. No other Perl book comes close to the breadth and depth coverage of these materials. That said, early printings of the first edition had a tremendous number of errors and typos. If you buy it used, I would highly recommend visiting the O'Reilly site to read the errata. ...
As expected a broad overview of several areas with a few gems. I found particular value in the chapters on matrices, stats, and numerical methods.
If you have to learn Perl in your production life for any reason, I think this book would be one of the best option that you can have. At least, you can enrich your knowledge of algorithms, and that is worth to pay for.
This is a great book with good coverage of important data structures and algorithms.
Great book with detailed description of algorithms beautifully explained in Perl, which we have learned either in C or C++ or higher Mathematics. I wished I had this book 12 years ago while I was doing my undergrad. This book will definitely imbibe great ideas to your Perl programming skills and will make you more efficient.
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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