Ebook: Practical Numerical Computing Using Python: Scientific & Engineering Applications

Key Features of the Book:

• Perfect book for introduction to practical numerical algorithms and programs for advanced undergraduate and beginning graduate students.
• Introduces Python programming language and its modules related to numerical computing
• Covers Numpy, Matplotlib, and Scipy modules in details.
• Illustrates how to make a variety of plots and animations.
• Detailed discussions on important numerical algorithms: Interpolation, Integration, Differentiation, ODE and PDE solvers, and Linear algebra solvers.
• Practical implementation of the algorithms in Python.
• Introduces Spectral and Finite-difference methods and applications to fluid mechanics and quantum mechanics.
• Includes chapters on Monte Carlo methods and applications to statistical physics, as well as on error analysis.
• A brief introduction to Computer hardware, complexity estimates, and nondimensionalization.