Practical Numerical Computing
Using Python
Scientific & Engineering Applications
“This excellent book of Prof. Verma is a single resource which a student can use to learn the fast-developing field of computational science. In addition to the description of Python language, it provides a broad overview of hardware, software, classic numerical methods, and everything in between. I recommend it strongly to all!”
— Prof. Prateek Sharma, IISc Bengaluru
Key features
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.