Python is a powerful programming language that’s easy to learn and fun to play with. But once you’ve gotten a handle on the basics, what do you do next?

Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of...

This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection...

Autodesk Inventor was introduced in 1999 as an ambitious 3D parametric modeler based not on the familiar AutoCAD programming architecture but instead on a separate foundation that would provide the room needed to grow into the fully featured modeler it is now, a decade later. Inventor 2011 continues the development of Inventor with...

Whether you're designing airplanes, appliances, or industrial machinery, this complete guide to Autodesk Inventor 2009 shows you how to produce and manage build-worthy 3D virtual prototypes. A team of industry professionals and Autodesk developers combines years...

MATLAB Mathematical Analysis is a reference book that presents the techniques of mathematical analysis through examples and exercises resolved with MATLAB software. The purpose is to give you examples of the mathematical analysis functions offered by MATLAB so that you can use them in your daily work regardless of the application....

This is the most affordable printed OpenStax book available. As an OpenStax Partner we print all OpenStax textbooks with a unique soft cover and B&W interior pages. The textbook s content is exactly the same as the OpenStax book (Digital ISBN-13: 978-1-947172-16-6 and Hardcover Print ISBN-13: 978-1-938168-07-9). This textbook is available...

Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of...

John Bird's approach to mathematics, based on numerous worked examples supported by problems, is ideal for students of a wide range of abilities. Theory is kept to a minimum, with the emphasis firmly placed on problem-solving skills, making this a thoroughly practical introduction to the mathematics engineering students need to...