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This book is an introduction to numerical methods for students in engineering. It covers the usual topics found in an engineering course: solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems, and optimization. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use. All methods include programs showing how the computer code is utilized in the solution of problems. The book is based on Numerical Methods in Engineering with Python, which used Python 2. This new text demonstrates the use of Python 3 and includes an introduction to the Python plotting package Matplotlib. This comprehensive book is enhanced by the addition of numerous examples and problems throughout. |
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 Effective Software Testing: 50 Specific Ways to Improve Your TestingEffective Software Testing explores fifty critically important best practices, pitfalls, and solutions. Gleaned from the author's extensive practical experience, these concrete items will enable quality assurance professionals and test managers to immediately enhance their understanding and skills, avoid costly... | | Microsoft Excel 2013 Step By Step
The smart way to learn Excel 2013—one step at a time!
Experience learning made easy—and quickly teach yourself how to manage, analyze, and present data with Excel 2013. With Step by Step, you set the pace—building and practicing the skills you need, just when you them! Includes downloadable practice files and... | | How Cool Stuff Works
Communication systems have existed for thousands of years. A postal system, with relays of riders to deliver messages, was used in Ancient Persia (now Iran) as long ago as the 6th century BC. Until the 1800s, sending post in this way was the only method of long-distance communication. The time it took for a message to be received depended on... |
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