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Hands-On Data Structures and Algorithms with Python – Third Edition

You're reading from   Hands-On Data Structures and Algorithms with Python – Third Edition Store, manipulate, and access data effectively and boost the performance of your applications

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801073448
Length 496 pages
Edition 3rd Edition
Languages
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Author (1):
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Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Toc

Table of Contents (17) Chapters Close

Preface 1. Python Data Types and Structures FREE CHAPTER 2. Introduction to Algorithm Design 3. Algorithm Design Techniques and Strategies 4. Linked Lists 5. Stacks and Queues 6. Trees 7. Heaps and Priority Queues 8. Hash Tables 9. Graphs and Algorithms 10. Searching 11. Sorting 12. Selection Algorithms 13. String Matching Algorithms 14. Other Books You May Enjoy
15. Index
Appendix: Answers to the Questions

Chapter 2: Introduction to Algorithm Design

Question 1

Find the time complexity of the following Python snippets:

  1. i=1 
    while(i<n): 
        i*=2 
        print("data")
    
  2. i =n
    while(i>0):
        print("complexity")
        i/ = 2
    
  3. for i in range(1,n):
        j = i 
        while(j<n):
            j*=2
    
  4. i=1
    while(i<n): 
        print("python")
        i = i**2
    

Solution

  1. The complexity will be O(log(n)).

    As we are multiplying the integer i by 2 in each step there will be exactly log(n) steps. (1, 2, 4, …… till n).

  1. The complexity will be O(log(n)).

    As we are dividing the integer i by 2 in each step there will be exactly log(n) steps. (n, n/2, n/4, …… till 1).

  1. The outer loop will run n times for each i in the outer loop, while the inner while loop will run log(i) times because we are multiplying...
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