Advanced Applications of Python Data Structures and Algorithms

Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily with Python than with any other programming language because of their interpretability, interactivity, and object-oriented nature. Computers may store and process data at an extraordinary rate and with outstanding accuracy. Therefore, it is of the utmost importance that the data is efficiently stored and is able to be accessed promptly. In addition, data processing should take as little time as feasible while maintaining the highest possible level of precision. Advanced Applications of Python Data Structures and Algorithms assists in understanding and applying the fundamentals of data structures and their many implementations and discusses the advantages and disadvantages of various data structures. Covering key topics such as Python, linked lists, datatypes, and operators, this reference work is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students. Cover Title Page Copyright Page Book Series Mission Coverage Preface Acknowledgment Introduction Chapter 1: Fundamentals of Data Structures ABSTRACT INTRODUCTION STACK QUEUE LINKED LIST SINGLY LINKED LIST DOUBLY LINKED LIST CIRCULAR LINKED LIST GRAPH SEARCHING SORTING CONCLUSION REFERENCES Chapter 2: Organizing Data Using Lists ABSTRACT THE BASICS OF LIST STACK QUEUE RESEARCH DIRECTIONS AND CHALLENGES CONCLUSION REFERENCES Chapter 3: Linear Data Structures and Their Applications ABSTRACT INTRODUCTION CHARACTERISTICS OF LINEAR DATA STRUCTURES APPLICATIONS OF LINEAR DATA STRUCTURES ADVANTAGES OF LINEAR DATA STRUCTURES DRAWBACKS OF LINEAR DATA STRUCTURES ARRAYS SINGLY-LINKED LIST DOUBLY LINKED LIST CIRCULAR LINKED LIST STACK QUEUE PRIORITY QUEUE CONCLUSION REFERENCES Chapter 4: A Comprehensive Analysis of Stack and Queue Data Structures and Their Uses ABSTRACT INTRODUCTION TO STACK FEATURES OF STACK STACK OPERATIONS STACK IMPLEMENTATION APPLICATIONS OF STACK QUEUE: INTRODUCTION FEATURES OF QUEUE QUEUE OPERATIONS QUEUE IMPLEMENTATION TYPES OF QUEUES APPLICATIONS OF QUEUE DIFFERENCES BETWEEN STACK AND QUEUE DATA STRUCTURES CONCLUSION REFERENCES Chapter 5: Dynamic Programming With Python ABSTRACT INTRODUCTION DYNAMIC PROGRAMMING FIBONACCI SERIES TOWERS OF HANOI PUZZLE DIJKSTRA'S ALGORITHM CHECKERED BOARD PROBLEM CONCLUSION REFERENCES Chapter 6: Exploratory Data Analysis in Python ABSTRACT INTRODUCTION PYTHON LIBRARIES TO PERFORM EDA PYTHON FUNCTIONS FOR EDA UNIVARIATE GRAPHICAL METHOD UNIVARIATE NON-GRAPHICAL METHOD MULTIVARIATE NON-GRAPHICAL METHOD MULTIVARIATE GRAPHICAL METHOD DATA VISUALISATION IN EDA BIVARIATE ANALYSIS NUMERICAL AND NUMERICAL NUMERICAL AND CATEGORICAL CATEGORICAL AND CATEGORICAL CONCLUSION REFERENCES Chapter 7: Empowering Scientific Computing and Data Manipulation With Numerical Python (NumPy) ABSTRACT INTRODUCTION NUMPY DATATYPES NUMPY ARRAYS THE DIFFERENCE BETWEEN A NUMPY ARRAY AND A LIST ARRAY OPERATIONS SPECIAL FUNCTION OF NUMPY PYTHON CONCLUSION REFERENCES Chapter 8: Exploring Python's Powerful Data Collections ABSTRACT INTRODUCTION TO LIST NESTED LIST LIST METHODS LIST AND FUNCTIONS INTRODUCTION TO TUPLE TUPLE SLICING TUPLE PACKING AND UNPACKING NESTED TUPLES COUNT AND INDEX METHODS OF A TUPLE INTRODUCTION TO SET INITIALIZING AND PRINTING A SET SET METHODS INTRODUCTION TO DICTIONARY CREATING A DICTIONARY ACCESS DICTIONARY ITEMS ADDING AND REMOVING ITEMS DICTIONARY METHODS CONCLUSION REFERENCES Chapter 9: Interactive Visualization With Plotly Express ABSTRACT IMPORTANCE OF DATA VISUALIZATION PLOTLY EXPRESS FOR DATA VISUALIZATION INTERACTIVE VISUALIZATION WITH PLOTLY EXPRESS CONCLUSION REFERENCES Chapter 10: Enhancing Big Data Analytics and Recommendation Systems With Python ABSTRACT INTRODUCTION CLUSTERING RELATED WORK PROPOSED WORK MULTI-DIMENSIONAL CONTENT DIFFICULTY RATING EXPERIMENTAL RESULT CONCLUSION REFERENCES Chapter 11: Optimizing Energy Consumption in Wireless Sensor Networks Using Python Libraries ABSTRACT INTRODUCTION WIRELESS SENSOR NETWORKS LITERATURE REVIEW RESEARCH GAP IDENTIFIED OBJECTIVES OF THE STUDY METHODOLOGY LIMITATIONS OF LEACH PROTOCOL IMPORTANCE OF RELAY NODES ENERGY CONSUMPTION OPTIMISATION IN WSN USING PYTHON ADAPTIVE DUTY CYCLING WITH RELAY NODES CONCLUSION REFERENCES Chapter 12: An Exploratory Study of Python's Role in the Advancement of Cryptocurrency and Blockchain Ecosystems ABSTRACT INTRODUCTION LITERATURE REVIEW THE FACTORS AND PARAMETERS PROBLEM STATEMENT OBJECTIVES OF THE STUDY SCOPE OF THE STUDY METHODOLOGY TOOLS ANALYZING CRYPTO MARKET DATA WITH PYTHON CREATING OUR OWN CRYPTOCURRENCY USING PYTHON CONCLUSION REFERENCES Chapter 13: Exploring the Role of Python in Self-Supervised Contrastive Learning for Generating Medical Imaging Reports ABSTRACT INTRODUCTION LITERATURE REVIEW RESEARCH GAP RESEARCH QUESTIONS THE FACTORS AND PARAMETERS PROBLEM STATEMENT OBJECTIVES OF THE STUDY SCOPE OF THE STUDY METHODOLOGY A STUDY ON EXITING VGG16 MODEL TO PREDICT LABELS ROLE OF PYTHON TO PREDICT LABELS CONCLUSION REFERENCES Chapter 14: Python's Role in Predicting Type 2 Diabetes Using Insulin DNA Sequence ABSTRACT INTRODUCTION PREDICTING TYPE 2 DIABETES THE MAIN OBJECTIVES OF THE RESEARCH THE ROLE OF PYTHON VISUALIZATION TOOLS ALGORITHMS IN PYTHON BIOINFORMATICS TOOLS CONCLUSION REFERENCES Compilation of References About the Contributors "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"-- Provided by publisher "Business Models and Strategies for Open Source Projects investigates the rationales and the strategy underlying companies' decisions to produce and release open source products, as well as which business models have succeeded. Covering topics such as embedded systems, open source ecosystems, and software companies, this premier reference source is a valuable resource for entrepreneurs, business leaders and managers, students and educators of higher education, librarians, software developers, researchers, and academicians"-- Provided by publisher "This book will aim to provide stepwise discussion; exhaustive literature review; detailed analysis and discussion; rigorous experimentation results, application-oriented approach that will be demonstrated with respect to applications of Graph Neural Network (GNN). It will be written to develop the understanding of concepts and techniques on GNN and to establish the familiarity of different real applications in various domains for GNN. Moreover, it will also cover the prevailing challenges and opportunities"-- Provided by publisher "Cyber-Physical System Solutions for Smart Cities considers the most recent developments in several crucial software services and cyber infrastructures that are important to smart cities. Covering key topics such as artificial intelligence, smart data, big data, and computer science, this premier reference source is ideal for industry professionals, government officials, policymakers, scholars, researchers, academicians, instructors, and students"-- Provided by publisher "The comprehensive and timely publication aims to be an essential reference source, on the available literature in the field of Neural computing-based Microchip Technology. This will provide further research opportunities in these dynamic fields. It is hoped that this handbook will provide the resources necessary for researchers, advanced level students, technology developers to adopt and implement the advances in technology and applications"-- Provided by publisher Provides a stepwise discussion, an exhaustive literature review, detailed analysis and discussion, rigorous experimentation results, and application-oriented approaches that are demonstrated with respect to applications of graph neural networks. The book also develops an understanding of concepts and techniques of graph neural networks. Investigates the rationales and the strategy underlying companies' decisions to produce and release open source products as well as which business models have succeeded. The book covers a range of topics, including embedded systems, open source ecosystems, and software companies. Explores the available literature in the field of neural computing-based microchip technology. The book provides further research opportunities in this dynamic field. Topics covered include emotion recognition, biometric authentication, and neural network protection. Focuses on applying the fundamentals of data structures and their many implementations and discusses the advantages and disadvantages of various data structures. The book covers a range of key, including Python, linked lists, datatypes, and operators.