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Hands-On Data Structures and Algorithms with Python

You're reading from   Hands-On Data Structures and Algorithms with Python Write complex and powerful code using the latest features of Python 3.7

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995573
Length 398 pages
Edition 2nd Edition
Languages
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Authors (2):
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Benjamin Baka Benjamin Baka
Author Profile Icon Benjamin Baka
Benjamin Baka
Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Toc

Table of Contents (16) Chapters Close

Preface 1. Python Objects, Types, and Expressions 2. Python Data Types and Structures FREE CHAPTER 3. Principles of Algorithm Design 4. Lists and Pointer Structures 5. Stacks and Queues 6. Trees 7. Hashing and Symbol Tables 8. Graphs and Other Algorithms 9. Searching 10. Sorting 11. Selection Algorithms 12. String Algorithms and Techniques 13. Design Techniques and Strategies 14. Implementations, Applications, and Tools 15. Other Books You May Enjoy

Summary

In this chapter, we have discussed the most popular and important string processing algorithms that have wide applications in real-time scenarios. We started this chapter by looking at the basic concepts and definitions related to strings. Next, we described the brute-force, Rabin-Karp, KMP, and Boyer-Moore pattern matching algorithms in detail for pattern matching problems. We have seen that the brute-force pattern matching algorithm is quite slow as it compared the characters of the pattern and the text string character by character.

In pattern matching algorithms, we try to find out ways to skip unnecessary comparisons and move the pattern over the text as fast as possible to quickly find out the positions of the matched patterns. The KMP algorithm finds out the unnecessary comparisons by looking at the overlapping substrings in the pattern itself to avoid unimportant...

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