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Mastering Algorithms with Perl: Practical Programming Through Computer Science
85% of respondents would recommend this to a friend
NIO 972
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Using algorithms explained in this book, you too can carry out traditional programming tasks in a high-powered, efficient, easy-to-maintain manner with Perl.
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What Stands Out
Product Details
| Publisher | O'Reilly Media |
| Publication date | September 21, 1999 |
| Edition | First Edition |
| Language | English |
| Print length | 701 pages |
| ISBN-10 | 1565923987 |
| ISBN-13 | 978-1565923980 |
| Item Weight | 2.2 pounds (1 kg) |
| Dimensions | 7 x 1.29 x 9.19 inches (17.8 x 3.3 x 23.3 cm) |
Who Should Buy?
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Intermediate Programmers
Those with basic Perl knowledge looking to deepen their understanding of algorithms in practical applications.
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Computer Science Students
Students studying computer science who need a practical approach to algorithms and data structures using Perl.
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Self-learners
Individuals interested in self-study who prefer hands-on examples and exercises in mastering algorithms with Perl.
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Beginners
Complete beginners to programming may find the content challenging without a foundational understanding of coding.
Product Description
Mastering Algorithms with Perl: Practical Programming Through Computer Science
Customer Questions & Answers
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Question:
What level of Perl proficiency is required to benefit from this book?
Answer: Basic understanding of Perl syntax and functions is assumed, no background in computer science needed. -
Question:
Is this book suitable for experienced programmers too?
Answer: Yes, it is ideal for both amateur programmers looking to enhance their skills and experienced programmers familiar with algorithms in other languages. -
Question:
Who are the authors of this book?
Answer: The authors include the editor of The Perl Journal and master librarian of CPAN, all contributing to CPAN and archiving code in the book.
LAN Editorial Review
**** "Mastering Algorithms with Perl: Practical Programming Through Computer Science" is an enriching resource aimed primarily at intermediate to advanced Perl programmers. The text delves into traditional algorithms and data structures, presenting complex topics in a manner that is both accessible and engaging. For those who already have a foundational understanding of Perl, this book serves as an oasis of knowledge, where beginners and intermediate users can expand their skill set while even seasoned Perl developers are likely to glean fresh insights. The book is extensive, comprising 701 pages filled with practical examples and theoretical underpinnings of a plethora of algorithms and data structures like linked lists, trees, heaps, and sophisticated concepts in probability and number theory. Readers have highlighted the importance of working through the material at a manageable pace, as the density of information can initially seem daunting. Many users found that the best approach was to digest each chapter thoroughly before moving on, allowing time to grasp the intricacies of complex problems in programming. Though some readers noted that a solid background in calculus and advanced mathematical notation is beneficial, the vast array of topics covered ensures there is something valuable for almost every level of expertise. The book successfully navigates the delicate balance between theory and practice, emphasizing not just the how but also the why behind various algorithms, making it a valuable educational tool for self-learners and students alike. However, not all feedback is entirely positive. Earlier print editions were criticized for containing numerous errors and typos, and certain explanations—such as those concerning the A* algorithm—may come off as unclear for some readers. These areas could require dedicated focus to overcome potential comprehension issues. Despite these flaws, the book is praised for its role in fostering a deeper appreciation for the nuances of computer science, especially through the lens of Perl. In summary, "Mastering Algorithms with Perl" stands out as a comprehensive guide that bridges programming with theoretical concepts, successfully engaging its audience with the intellectual appeal of computer science. **
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Pros
- Comprehensive coverage of algorithms and data structures
- Accessible for intermediate and advanced Perl programmers
- Engaging and practical examples
- Encourages a deep understanding of programming concepts
- Valuable resource for both self-learners and students
Cons
- Requires a basic understanding of Perl; not beginner-friendly
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Features & Benefits
- Master algorithms with Perl for heavy lifting projects
- Learn techniques like fuzzy pattern matching, finding correlations in data, game-playing algorithms, and more
- Assumes basic Perl syntax understanding, no computer science background needed
- Explains classic programming techniques and applications in a readable manner
- Ideal for amateur programmers or those familiar with algorithms in other languages
- Includes contributions from experts in Perl programming and code archives on CPAN
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