Book Image

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

By : Dr. Basant Agarwal
Book Image

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

By: Dr. Basant Agarwal

Overview of this book

Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.
Table of Contents (17 chapters)
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  1. Show the KMP prefix function for the pattern "aabaabcab".
  2. If the expected number of valid shifts is small and the modulus is larger than the length of the pattern, then what is the matching time of the Rabin-Karp algorithm?
    1. Theta (m)
    2. Big O (n+m)
    3. Theta (n-m)
    4. Big O (n)
  3. How many spurious hits does the Rabin-Karp string matching algorithm encounter in the text T = "3141512653849792" when looking for all occurrences of the pattern P = "26", working modulo q = 11, and over the alphabet set Σ = {0, 1, 2,..., 9}?
  4. What is the basic formula applied in the Rabin-Karp algorithm to get the computation time as Theta (m)?
    1. Halving rule
    2. Horner’s rule
    3. Summation lemma
    4. Cancellation lemma
  5. The Rabin-Karp algorithm can be used for discovering plagiarism in text documents.
    1. True
    2. False