Go back

Practical Numerical Computing Using Python Scientific And Engineering Applications(1st Edition)

Authors:

Mahendra Verma

Free practical numerical computing using python scientific and engineering applications 1st edition mahendra verma
16 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Include with your book

Free shipping: April 04, 2024
Access to 3 Million+ solutions Free
Ask 10 Questions from expert 200,000+ Expert answers
7 days-trial

Total Price:

$0

List Price: $19.99 Savings: $19.99(100%)

Book details

ISBN: B09LGPMV3D, 979-8767314713

Book publisher: Independently published

Get your hands on the best-selling book Practical Numerical Computing Using Python Scientific And Engineering Applications 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Practical Numerical Computing Using Python Scientific And Engineering Applications 1st Edition Summary: 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 BengaluruLink for the Python codes in Google Colab: https://colab.research.google.com/drive/1OA4FrzHYr9755HFm53LW-YELcGk-np_V?usp=sharingKey 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 computingCovers 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.