Review: "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

Link for the Python codes in Google Colab: https://colab.research.google.com/drive/1OA4FrzHYr9755HFm53LW-YELcGk-np_V?usp=sharing

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.

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• Science & MathPhysics
• Computers & TechnologyProgramming

• Publication Date: October 9, 2021
• Text-to-Speech: Disabled
• Lending: Disabled
• Print Length: 531 Pages
• File Size: 152 KB