Python Data Science Handbook: Essential Tools for Working with Data 2nd Edition ISBN: 978-1098121228

Comprehensive guide to Python's essential data science libraries and tools. This second edition covers NumPy, Pandas, Matplotlib, and Scikit-Learn with practical examples and real-world applications. Ideal for analysts, engineers, and data professionals seeking to master data manipulation, visualization, and machine learning workflows. Perfect for corporate training programs, technical teams, and institutional libraries building data literacy curricula.