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Python Data Structures and Algorithms

You're reading from Python Data Structures and Algorithms

Product type Book

Published in May 2017

Publisher Packt

ISBN-13 9781786467355

Pages 310 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Benjamin Baka

Table of Contents (20) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Python Objects, Types, and Expressions

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

Amortized analysis

Often we are not so interested in the time complexity of individual operations, but rather the time averaged running time of sequences of operations. This is called amortized analysis. It is different from average case analysis, which we will discuss shortly, in that it makes no assumptions regarding the data distribution of input values. It does, however, take into account the state change of data structures. For example, if a list is sorted it should make any subsequent find operations quicker. Amortized analysis can take into account the state change of data structures because it analyzes sequences of operations, rather then simply aggregating single operations.

Amortized analysis finds an upper bound on runtime by imposing an artificial cost on each operation in a sequence of operations, and then combining each of these costs. The artificial cost of a sequence takes in to account that the initial expensive operations can make subsequent operations cheaper.

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Authors (1)

Benjamin Baka

Benjamin Baka is a full-stack software developer and is passionate about cutting-edge technologies and elegant programming techniques. He has 10 years in different technologies, from C++, Java, Ruby, Python to Qt. Some of the projects he's working on can be found on his GitHub page. He is currently working on exciting technologies all from the camp of mPedigree Network.

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