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  • Book Overview & Buying Hands-On Data Structures and Algorithms with Python – Third Edition
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Hands-On Data Structures and Algorithms with Python – Third Edition

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

By : Dr. Basant Agarwal
4.8 (26)
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Hands-On Data Structures and Algorithms with Python – Third Edition

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

4.8 (26)
By: Dr. Basant Agarwal
Buy this Book

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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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
Lock Free Chapter
1
Python Data Types and Structures
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Python Data Types and Structures
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Introducing Python 3.10
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Installing Python
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Setting up a Python development environment
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Overview of data types and objects
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Basic data types
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Complex data types
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Python’s collections module
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Summary
2
Introduction to Algorithm Design
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Introduction to Algorithm Design
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Introducing algorithms
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Performance analysis of an algorithm
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Asymptotic notation
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Amortized analysis
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Composing complexity classes
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Computing the running time complexity of an algorithm
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Summary
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Exercises
3
Algorithm Design Techniques and Strategies
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Algorithm Design Techniques and Strategies
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Algorithm design techniques
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Recursion
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Divide and conquer
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Dynamic programming
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Greedy algorithms
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Summary
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Exercises
4
Linked Lists
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Linked Lists
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Arrays
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Introducing linked lists
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Singly linked lists
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Doubly linked lists
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Circular lists
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Practical applications of linked lists
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Summary
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Exercise
5
Stacks and Queues
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Stacks and Queues
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Stacks
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Queues
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Summary
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Exercises
6
Trees
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Trees
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Terminology
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Binary trees
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Binary search trees
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Summary
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Exercises
7
Heaps and Priority Queues
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Heaps and Priority Queues
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Heaps
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Priority queues
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Summary
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Exercises
8
Hash Tables
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Hash Tables
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Introducing hash tables
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Resolving collisions
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Implementing hash tables
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Symbol tables
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Summary
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Exercise
9
Graphs and Algorithms
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Graphs and Algorithms
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Graphs
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Graph representations
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Graph traversals
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Other useful graph methods
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Summary
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Exercises
10
Searching
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Searching
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Introduction to searching
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Linear search
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Jump search
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Binary search
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Interpolation search
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Exponential search
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Choosing a search algorithm
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Summary
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Exercise
11
Sorting
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Sorting
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Technical requirements
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Sorting algorithms
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Bubble sort algorithms
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Insertion sort algorithm
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Selection sort algorithm
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Quicksort algorithm
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Implementation of quicksort
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Timsort algorithm
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Summary
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Exercise
12
Selection Algorithms
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Selection Algorithms
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Technical requirements
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Selection by sorting
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Randomized selection
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Deterministic selection
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Summary
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Exercise
13
String Matching Algorithms
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String Matching Algorithms
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Technical requirements
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String notations and concepts
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Pattern matching algorithms
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The brute force algorithm
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The Rabin-Karp algorithm
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The Knuth-Morris-Pratt algorithm
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The Boyer-Moore algorithm
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Summary
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Exercise
14
Other Books You May Enjoy
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Other Books You May Enjoy
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Index
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Index
1
Appendix: Answers to the Questions
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Chapter 2: Introduction to Algorithm Design
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Chapter 3: Algorithm Design Techniques and Strategies
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Chapter 4: Linked Lists
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Chapter 5: Stacks and Queues
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Chapter 6: Trees
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Chapter 7: Heaps and Priority Queues
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Chapter 8: Hash Tables
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Chapter 9: Graphs and Algorithms
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Chapter 10: Searching
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Chapter 11: Sorting
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Chapter 12: Selection Algorithm
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Chapter 13: String Matching Algorithms

Searching

An important operation for all data structures is searching for elements from a collection of data. There are various methods to search for an element in data structures; in this chapter, we shall explore the different strategies that can be used to find elements in a collection of items.

Data elements can be stored in any kind of data structure, such as an array, link list, tree, or graph; the search operation is very important for many applications, mostly whenever we want to know if a particular data element is present in an existing list of data items. In order to retrieve the information efficiently, we require an efficient search algorithm.

In this chapter, we will learn about the following:

  • Various search algorithms
  • Linear search algorithm
  • Jump search algorithm
  • Binary search algorithm
  • Interpolation search algorithm
  • Exponential search algorithm

Let us start with an introduction to searching and a definition...

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