About the Book: Data Analytics Using Python (Second Edition) is a comprehensive guide designed for students, researchers, academicians, and professionals seeking practical expertise in data analytics, Python programming, and statistical analysis. Covering real-world datasets and hands-on examples, the book explores data visualization, web scraping (Beautiful Soup, Selenium), dashboards with Streamlit, GUI development with Tkinter, SQL and NoSQL databases (MongoDB, Neo4j), optimization techniques, conjoint analysis, and machine learning algorithms such as recommendation systems and association rules. With clear explanations, commented code, and industry-relevant applications, it equips readers to apply advanced analytics, data science tools, and Python-based solutions across diverse domains.