Bernard Korites
Python Graphics: A Reference for Creating 2D and 3D Images
Python Graphics: A Reference for Creating 2D and 3D Images
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Excellent- More about Python Graphics: A Reference for Creating 2D and 3D Images
This book teaches you to use Python's built-in graphics primitives to create complex graphics for visualizing 2D and 3D objects, data sets, and technical illustrations. It includes detailed explanations, demonstrations, and Python source code, making it accessible to novice Python programmers. You'll learn how to create various graphics objects, apply shading and color, display images, and analyze data sets.
Format: Paperback / softback
Length: 488 pages
Publication date: 21 December 2023
Publisher: APress
This comprehensive book delves into the realm of Python's built-in graphics primitives, encompassing points, lines, and arrows, to create intricate graphics for visualizing two- and three-dimensional objects, data sets, and technical illustrations. With an emphasis on providing detailed explanations, particularly in Python code, the book explores a wide range of applications, including scientific visualization. It teaches readers how to create a diverse array of 2D and 3D objects, illustrations, and visualizations, showcasing techniques such as image display, color manipulation, translation, rotation, shading, shadow casting, hidden line removal, 2D and 3D data plotting, curve fitting, intersection analysis, and digital art creation.
Furthermore, the book introduces brand-new demonstrations covering electron probability clouds, climate change, ecological diversity, population dynamics, and resource management. Python source code accompanies each demonstration, making the book accessible to novice Python programmers. By the end of this book, readers will possess the skills to generate compelling graphic images, surpassing the limitations of existing Python libraries.
This book is a valuable resource for Python developers, scientists, engineers, and students who utilize Python for technical illustration, data visualization, and analysis. It assumes a foundational understanding of Python and is designed to enhance the visual storytelling capabilities of Python users.
Weight: 957g
Dimension: 254 x 178 (mm)
ISBN-13: 9781484296592
Edition number: 2nd ed.
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