This book provides a comprehensive yet accessible introduction to Python for scientific computing, ideal for students, research scholars, and professionals in science and engineering. Written in clear language, it explains fundamental concepts with supporting example scripts and graphical demonstrations, requiring no prior programming experience. The content is structured into four major sections: Core Python ? foundational programming skills. Computation with external packages ? including NumPy, SciPy, Matplotlib, SymPy, and Pandas. Applications in science ? practical use of numerical methods. Special topics ? covering quantum mechanics, statistical mechanics, and additional explorations.