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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

Summary

This chapter has examined ways to answer the question of how to find the ith-smallest element in a list. The trivial solution of simply sorting a list to perform the operation of finding the ith-smallest has been explored.

There is also the possibility of not necessarily sorting the list before we can determine the ith-smallest element. The random selection algorithm allows us to modify the quick sort algorithm to determine the ith-smallest element.

To further improve upon the random selection algorithm so that we can obtain a time complexity of O(n), we embark on finding the median of medians to enable us find a good split during partitioning.

In the next chapter, we will explore the world of strings. We will learn how to efficiently store and manipulate large amounts of text. Data structures and common string operations will be covered too.

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