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Data Structures and Program Design Using Python

You're reading from Data Structures and Program Design Using Python A Self-Teaching Introduction to Data Structures and Python

Product type Paperback

Published in Aug 2024

Publisher Mercury_Learning

ISBN-13 9781836640738

Length 394 pages

Edition 1st Edition

Languages

Python

Concepts

Data Structures and Algorithms

Authors (3):

Mercury Learning and Information

D. Malhotra

N. Malhotra

View More author details

Table of Contents (16) Chapters

Preface

1. Acknowledgments

2. Chapter 1: Introduction to Data Structures FREE CHAPTER

3. Chapter 2: Introduction to Python

4. Chapter 3: Arrays/Lists

5. Chapter 4: Linked Lists

6. Chapter 5: Queues

7. Chapter 6: Searching and Sorting

8. Chapter 7: Stacks

9. Chapter 8: Trees

10. Chapter 9: Multi-Way Search Trees

11. Chapter 10: Hashing

12. Chapter 11: Files

13. Chapter 12: Graphs

14. Index

Appendix: Answers to Multiple Choice Questions

1.6ANALYZING AN ALGORITHM

An algorithm can be analyzed by two factors: space and time. We should develop an algorithm that makes the best use of both these resources. Analyzing an algorithm measures the efficiency of the algorithm. The efficiency of the algorithm is measured in terms of the speed and time complexity. The complexity of an algorithm is a function that measures the space and time used by an algorithm in terms of input size.

Time Complexity–The time complexity of an algorithm is the amount of time taken by an algorithm to run the program completely. It is the runtime of the program. The time complexity of an algorithm depends upon the input size. The time complexity is commonly represented by using big O notation. For example, the time complexity of a linear search is O (n).

Space Complexity–The space complexity of an algorithm is the amount of memory space required to run the program completely. The space complexity of an algorithm depends upon the input...

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Data Structures and Program Design Using Python

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Data Structures and Program Design Using Python

Published in: Aug 2024

Publisher: Mercury_Learning

ISBN-13: 9781836640738

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Authors (3)

Mercury Learning and Information

Mercury Learning and Information

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.

See other products by Mercury Learning and Information

D. Malhotra

D. Malhotra

D. Malhotra, PhD is a professor in information technology and has published numerous research articles with international publishers such as ACM, Springer, Elsevier, and IEEE.

See other products by D. Malhotra

N. Malhotra

N. Malhotra

N. Malhotra's teaching and research interests include data structures, big data analytics, business intelligence, Java, and distributed programming.

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