Chapter 1: Essential Python Commands and Functions -- Chapter 2: Graphics in 2-Dimensions -- Chapter 3: Graphics in 3-Dimensions -- Chapter 4: Perspectives -- Chapter 5: Intersections -- Chapter 6: Hidden Line Removal -- Chapter 7: Shading -- Chapter 8: 2D Data Plotting -- Chapter 9: 3D Data Plotting -- Chapter 10: Demonstrations -- Chapter 11: Appendix A: Where to Get Python -- Chapter 12: Appendix B: Planck's Radiation Law and the Stefan-Boltzmann Equation.

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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. .

Mode of access: World Wide Web.