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Python graphicsa reference for creating 2D and 3D images /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Python graphicsby Bernard Korites.
Reminder of title:	a reference for creating 2D and 3D images /
Author:	Korites, B. J.
Published:	Berkeley, CA :Apress :2023.
Description:	xvii, 488 p. :illustrations, digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language)
Online resource:	https://doi.org/10.1007/978-1-4842-9660-8
ISBN:	9781484296608$q(electronic bk.)

Python graphicsa reference for creating 2D and 3D images /
Korites, B. J.

Python graphicsa reference for creating 2D and 3D images /[electronic resource] :by Bernard Korites. - Second edition. - Berkeley, CA :Apress :2023. - xvii, 488 p. :illustrations, digital ;24 cm.

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.

ISBN: 9781484296608$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-9660-8doiSubjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Python graphicsa reference for creating 2D and 3D images /
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505 0 $a 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.
520 $a 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.
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