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Python Graphics

5,24 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18b62b5d0db4bf4056827ab6e393c9719e
Autor: Korites, B.J.
Themengebiete: 3-dimensional computer graphics 3D graphics Curve Fitting Images Matrices Python Graphics Shading Stereographic Transformations Surface Regression Vectors
Veröffentlichungsdatum: 03.09.2019
EAN: 9781484246801
Sprache: Englisch
Seitenzahl: 363
Produktart: Kartoniert / Broschiert
Verlag: APRESS
Untertitel: A Reference for Creating 2D and 3D Images
Produktinformationen "Python Graphics"
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.  What You'll Learn Use Python's built-in commands for plotting, removing distortions, and rotating objects Create and edit 2D and 3D objectsDevelop illustrations for scientific and engineering applicationsWho This Book Is For Python developers looking for tips on how to create illustrations and visualizations, as well as scientists, engineers, or students using Python. It assumes familiarity with vectors, matrices, geometry and trigonometry.

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