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Mastering Algorithms with Perl Review by calvinnme
Accessible discussion of algorithm topics implemented in Perl
If you have ever studied algorithms and data structures, then balanced trees and O(N) notation may still be a painful memory. Also, part of Perl's strength is in its built in parsing and sorting features so why would you need to know other ways of doing the same job? If your work does not challenge Perl's features then you probably do not need this book. However, if you have no computer science background and Perl is your language of choice then this book requires serious consideration.
The book is concise and the advice given in concepts like choosing an appropriate data structure or in benchmarking your program is actually quite sound. It covers a wide number of topics such as sorting, searching, sets and matrices together with material you may not find in a data structures book like geometry, cryptography and statistics.
Your choice depends on the task at hand. If you're looking for a Perl book where you can find routines to encrypt a string or find the maximum distance between two points then this book will not disappoint. Indeed, I believe that anyone serious about programming would benefit greatly from some of the Computer Science subjects discussed and implemented in Perl that are offered in this book.