Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose. Starting with the essential Python functions to set up a plotting space and produce 2 and 3-dimensional objects, you'll learn how to construct more complex objects, translate and rotate them, remove hidden lines, introduce shading to add realism, and project images to visualize any dataset. The final chapter includes several worked applications in science and engineering including planetary models, which you can adapt for your own use. Written for developers who want to harness Python's capabilities to fine-tune their images, Python Graphics covers the different commands for plotting dots, lines, arrows, or arcs, creating custom plotting grids, correcting distortions, adding text and labels to illustrations, manipulating arcs and circles, specify and use colors, and more. Armed with these techniques and core math skills, you'll be ready to create and customize detailed technical illustrations or data visualizations.

Autorentext
**Dr. Bernard J. Korites** has been involved in engineering and scientific applications of computers for his entire career. He has been an educator, consultant, and author of more than ten books on geometric modelling, computer graphics, artificial intelligence, simulation of physical processes, structural analysis and the application of computers in science and engineering.
He has been employed by Northrop Aviation, the Woods Hole Oceanographic Institute, Arthur D. Little, Itek and Worcester Polytech. He has consulted for Stone and Webster Engineering, Gould Inc, Wyman Gordon, CTI Cryogenics, the US Navy, Aberdeen Proving Grounds, and others. Early in his career he developed software to find physical interference between systems of solid objects and draw 3-dimensional and stereographic views. This found wide application in the design of power plants, submarines and other systems with densely packed spaces.

Klappentext
Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose.
Starting with the essential Python functions to set up a plotting space and produce 2 and 3-dimensional objects, you'll learn how to construct more complex objects, translate and rotate them, remove hidden lines, introduce shading to add realism, and project images to visualize any dataset. The final chapter includes several worked applications in science and engineering including planetary models, which you can adapt for your own use.
Written for developers who want to harness Python's capabilities to fine-tune their images, Python Graphics covers the different commands for plotting dots, lines, arrows, or arcs, creating custom plotting grids, correcting distortions, adding text and labels to illustrations, manipulating arcs and circles, specify and use colors, and more. Armed with these techniques and core math skills, you'll be ready to create and customize detailed technical illustrations or data visualizations.

Zusammenfassung
This book will show you how to use Python to create graphic objects for technical illustrations and data visualization.
Often, the function you need to produce the image you want cannot be found in a standard Python library. Knowing how to create your own graphics will free you from the chore of looking for a function that may not exist or be difficult to use. This book will give you the tools to eliminate that process and create and customize your own graphics to satisfy your own unique requirements.
Using basic geometry and trigonometry, you will learn how to create math models of 2D and 3D shapes. Using Python, you will then learn how to project these objects onto the screen of your monitor, translate and rotate them in 2D and 3D, remove hidden lines, add shading, view in perspective, view intersections between surfaces, and display shadows cast from one object onto another.
You will also learn how to visualize and analyze 2D and 3D data sets, fit lines, splines and functions.
The final chapter includes demonstrations from quantum mechanics, astronomy and climate science.
Includes Python programs written in a clear and open style with detailed explanation of the code.
What You Will Learn

• How to create math and Python models of 2D and 3D shapes.
• How to rotate, view in perspective, shade, remove hidden lines, display projected shadows, and more.

• How to analyze and display data sets as curves and surfaces, fit lines and functions.
  Who This Book Is ForPython developers, scientists, engineers, and students using Python to produce technical illustrations, display and analyze data sets. Assumes familiarity with vectors, matrices, geometry and trigonometry.

  Inhalt
  

  • ****
  Python Graphics***

1) Essential Python Commands and Functions

2) Graphics in 2-Dimensions

3) Graphics in 3-Dimensions

4) Perspective

5) Intersections

6) Hidden Line Removal

7) Shading

8) 2D Data Plotting

9) 3D Data Plotting

10) Demonstrations

11) Appendix A: Where to Get Python

12) Appendix B: Planck's Radiation Law and the Stefan-Boltzmann Equation