PDF Ebook , by Jon Orwant Jarkko Hietaniemi

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, by Jon Orwant Jarkko Hietaniemi

PDF Ebook , by Jon Orwant Jarkko Hietaniemi

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Product details

File Size: 13631 KB

Print Length: 706 pages

Simultaneous Device Usage: Unlimited

Publisher: O'Reilly Media; 1 edition (August 18, 1999)

Publication Date: April 1, 2011

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B004VB3UQK

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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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