Python graphics : a reference for creating 2D and 3D images / Bernard Korites.
New York, NY, USA : Apress Media, LLC, 2023Edition: Second editionDescription: xvii, 488 pages: illustrations (chiefly color); 25 cmISBN:- 9781484296592
- 23 005.133 K84 2023
Item type | Current library | Collection | Call number | Status | Barcode | |
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College Library General Circulation Section | GC | GC 005.133 K84 2023 (Browse shelf(Opens below)) | Available | HNU005573 |
Includes index.
Chapter 1: Essential Python Commands and Functions
Chapter 2: Graphics in Two Dimensions
Chapter 3: Graphics in Three Dimensions
Chapter 4: Perspective
Chapter 5: Intersections
Chapter 6: Hidden Line Removal
Chapter 7: Shading
Chapter 8: 2D Data Plotting
Chapter 9: 3D Data Plotting
Chapter 10: Demonstration - Saturn
Chapter 11: Demonstration - Electron Probability Clouds
Chapter 12: Demonstration - The Sun
Chapter 13: Demonstration - Climate Change
Chapter 14: Demonstration - Ecological Diversity
Chapter 15: Demonstration - Population Dynamics
Chapter 16: Demonstration - Resource Management
Appendix A: Where to Get Python
Appendix B: Planck's Radiation Law and the Stefan-Boltzmann Equation
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 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. You will: 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
College of Engineering and Computer Studies Bachelor of Science in Information Technology
In English
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