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Python Data Structures and Algorithms

You're reading from   Python Data Structures and Algorithms Improve application performance with graphs, stacks, and queues

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786467355
Length 310 pages
Edition 1st Edition
Languages
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Author (1):
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Benjamin Baka Benjamin Baka
Author Profile Icon Benjamin Baka
Benjamin Baka
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Table of Contents (20) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Python Objects, Types, and Expressions FREE CHAPTER 2. Python Data Types and Structures 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. Design Techniques and Strategies 13. Implementations, Applications, and Tools

Chapter 9. Searching

With the data structures that have been developed in the preceding chapters, one critical operation performed on all of them is searching. In this chapter, we shall explore the different strategies that can be used to find elements in a collection of items.

One other important operation that makes use of searching is sorting. It is virtually impossible to sort without some variant of a search operation. The "how of searching" is also important as it has a bearing on how quick a sorting algorithm ends up performing.

Searching algorithms are categorized under two broad types. One category assumes that the list of items to apply the searching operation on, has already been sorted whiles the other does not.

The performance of a search operation is heavily influenced by whether the items about to be searched have already been sorted or not as we will see in the subsequent topics too.

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