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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

Hash tables

A hash table is a data structure where elements are accessed by a keyword rather than an index number, unlike in lists and arrays. In this data structure, the data items are stored in key/value pairs similar to dictionaries. A hash table uses a hashing function in order to find an index position where an element should be stored and retrieved. This gives us fast lookups since we are using an index number that corresponds to the hash value of the key.

Each position in the hash table data structure is often called a slot or bucket and can store an element. So, each data item in the form of (key, value) pairs would be stored in the hash table at a position that is decided by the hash value of the data. For example, the hashing function maps the input string names to a hash value; the hello world string is mapped to a hash value of 92, which finds a slot position in...

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