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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 (14) Chapters Close

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

Hashing


Hashing is the concept of converting data of arbitrary size into data of fixed size. A little bit more specifically, we are going to use this to turn strings (or possibly other data types) into integers. This possibly sounds more complex than it is so let's look at an example. We want to hash the expression hello world, that is, we want to get a numeric value that we could say represents the string.

By using the ord() function, we can get the ordinal value of any character. For example, the ord('f') function gives 102. To get the hash of the whole string, we could just sum the ordinal numbers of each character in the string:

>>> sum(map(ord, 'hello world'))
1116

This works fine. However, note that we could change the order of the characters in the string and get the same hash:

>>> sum(map(ord, 'world hello'))
1116

And the sum of the ordinal values of the characters would be the same for the string gello xorld as well, since g has an ordinal value which is one less than...

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