(Ebook) Python Graphics: A Reference for Creating 2D and 3D Images by Bernard Korites ISBN 9781484296608, 9781484296592, 1484296591, 1484296605, B0CHQ4Y684

(Ebook) Python Graphics: A Reference for Creating 2D and 3D Images by Bernard Korites ISBN 9781484296608, 9781484296592, 1484296591, 1484296605, B0CHQ4Y684

This book shows how to use Python’s built-in graphics primitives - points, lines, and arrows – to create complex graphics for the visualization of two- and three-dimensional objects, data sets, and technical illustrations. This updated edition provides more detailed explanations where required, especially regarding Python code, and explores scientific applications to topics of contemporary importance. You’ll learn how to create any 2D or 3D object or illustration, as well as how to display images, use color, translate, rotate, shade, add shadows that are cast on other objects, remove hidden lines, plot 2D and 3D data, fit lines and curves to data sets, display points of intersection between 2D and 3D objects, and create digital art. Demonstrations are included which illustrate graphics programming techniques by example, the best way to learn a language. Also brand new to this edition are demonstrations on how to visualize electron probability clouds around a nucleus, climate change, ecological diversity, population dynamics, and resource management. Python source code, including detailed explanations, is included for all applications, making the book more accessible to novice Python programmers. After completing this book, you will be able to create compelling graphic images without being limited to functions available in existing Python libraries. What You Will Learn    Create 2D and 3D graphic images    Add text and symbols to images    Shade 3D objects    Display cast shadows    Use color for maximum effect    View 2D and 3D data sets    Fit lines and curves to data sets Who This Book Is ForPython developers, scientists, engineers, and students who use Python to produce technical illustrations and display and analyze data sets. Assumes familiarity with vectors, matrices, geometry and trigonometry.