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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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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

Hashing and Symbol Tables

We have previously looked at arrays and lists, where items are stored in sequence and accessed by index number. Index numbers work well for computers. They are integers so they are fast and easy to manipulate. However, they don't always work so well for us. For example, if we have an address book entry, let's say at index number 56, that number doesn't tell us much. There is nothing to link a particular contact with number 56. It is difficult to retrieve an entry from the list using the index value.

In this chapter, we are going to look at a data structure that is better suited to this kind of problem: a dictionary. A dictionary uses a keyword instead of an index number, and it stores data in (key, value) pairs. So, if that contact was called James, we would probably use the keyword James to locate the contact. That is, instead of accessing...

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