Python Graphics, 2nd Edition

Python Graphics: A Reference for Creating 2D and 3D Images, 2nd Edition

eBook Details:

  • Paperback: 505 pages
  • Publisher: WOW! eBook; 2nd edition (December 16, 2023)
  • Language: English
  • ISBN-10: 1484296591
  • ISBN-13: 978-1484296592

eBook Description:

Python Graphics: A Reference for Creating 2D and 3D Images, 2nd Edition

This Python Graphics, 2nd Edition 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 Python Graphics: A Reference for Creating 2D and 3D Images, 2nd 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.

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

After completing this Python Graphics, 2nd Edition book, you will be able to create compelling graphic images without being limited to functions available in existing Python libraries.


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