Advanced Applications of Python Data Structures and Algorithms

Title Page....2

Copyright Page....3

Book Series....4

Table of Contents....6

Detailed Table of Contents....9

Preface....17

Acknowledgment....20

Introduction....21

Chapter 1: Fundamentals of Data Structures....22

Chapter 2: Organizing Data Using Lists....56

Chapter 3: Linear Data Structures and Their Applications....73

Chapter 4: A Comprehensive Analysis of Stack and Queue Data Structures and Their Uses....97

Chapter 5: Dynamic Programming With Python....123

Chapter 6: Exploratory Data Analysis in Python....144

Chapter 7: Empowering Scientific Computing and Data Manipulation With Numerical Python (NumPy)....168

Chapter 8: Exploring Python's Powerful Data Collections....183

Chapter 9: Interactive Visualization With Plotly Express....203

Chapter 10: Enhancing Big Data Analytics and Recommendation Systems With Python....228

Chapter 11: Optimizing Energy Consumption in Wireless Sensor Networks Using Python Libraries....243

Chapter 12: An Exploratory Study of Python's Role in the Advancement of Cryptocurrency and Blockchain Ecosystems....257

Chapter 13: Exploring the Role of Python in Self-Supervised Contrastive Learning for Generating Medical Imaging Reports....274

Chapter 14: Python's Role in Predicting Type 2 Diabetes Using Insulin DNA Sequence....287

Compilation of References....300

About the Contributors....313

Index....317

Assist in understanding and applying the fundamentals of data structures and their many implementations. Data structures play a critical role in creating efficient applications. To improve one's ability to solve problems by utilizing proper data formats. Upon successful completion of reading this textbook, students will have gained the ability to: Recognize and use the most fundamental types of data structures and algorithms. Be familiar with the advantages and disadvantages of various data structures. Use the proper data structure in the given problem's solution context. Improve your ability to program to address a particular problem. To distinguish between programmers and non-programmers, it is necessary to know about Data Structures and Algorithms.