Numerical Methods in Engineering with Python

by Jaan Kiusalaas

Numerical Methods in Engineering with Python is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of Python. Examples and applications were chosen for their relevance to real world problems, and where numerical solutions are most efficient. Numerical methods are discussed thoroughly and illustrated with problems involving both hand computation and programming. Computer code accompanies each method and is available on the book web site. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method. Python was chosen as the example language because it is elegant, easy to learn and debug, and its facilities for handling arrays are unsurpassed. Moreover, it is an open-source software package; free and available to all students and engineers. Explore numerical methods with Python, a great language for teaching scientific computation.

Genres: Textbooks

432 pages, Hardcover

First published July 1, 2005

Reviews

[Leonardo]

Many of the machine learning algorithms discussed in this chapter are numerically intensive, and as a result, they will run slowly when coded naively in Python. For information on increasing the efficiency of numerically intensive algorithms in Python, see (Kiusalaas, 2005).

Natural Language Processing with Python Pág.257