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Top (max 10) reviews: Numerical Methods in Engineering with Python.

4.5 out of 5.0    7 total reviews.

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4.0 out of 5.0 -

by Krysta on May 14, 2016

Concise and well explained; if you are looking for easy to read and unencumbered implementations of numerical algorithms, this book is a great addition.

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by Loonatic Fringe on Sept. 1, 2016

Definitely heavier on the math than the python, but it contains enough of a primer to get you started. Well written with very clear explanations.

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by J. Leeman on Aug. 22, 2010

Being familiar with python is necessary for this volume, but the concepts used are simple. The description of the numerical methods is complete, but a comparison of methods is not always present leaving an inexperienced analyst to wonder which method is the best for a given situation. Python is also not the most efficient language for numerical computation, but is a good linker and with cython it can become a viable option. Overall I recommend this book for learning numerical methods as you will not be tangled in the programming language, but learning numerical methods.

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by Stuart Leviton on April 17, 2013

. I bought this book as a way to teach myself python. I figured I might as well see what the world of numerical analysis is like as well. This book provided the atmosphere I sought. It's a good introductory text.

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by Chris S. Bullock on Oct. 14, 2012

If you need to learn mathematical programming this is a great book to get. It covers all types of mathematics and gives you pointer to where to look for . I would say if you already know python this is a good book.

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by crunk106 on Sept. 16, 2015

Good. Could be a little better.....but not much more to improve!!!!

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by Keiichi Ito on Dec. 2, 2005

The content is typical of an undergraduate course in numerical methods. The author employs Python for that. It doesn't tell you how to use various modules available on the net. Instead, the author sticks to the standard few and explains numerical methods from the very basics. The book is very good for an introduction coursework. However, if you are a researcher looking for tools for serious numerical computation and thinking of using Python as an efficient and convenient organizer(or "glue") rather than a number cruncher, you might as well consult the book by H.P. Langtangen.
This book is also useful if you want to get a hang on how a textbook numerical method would work on Python. You can then use the language for a quick algorithm prototyping in your own work.