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interested in exploring the power of OpenGL for data visualization, this book is for you. While familiarity with C/C++ is recommended, no previous;
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++ programmers. Full of practical techniques for implementing amazing computer graphics and visualizations, using OpenGL. Crammed full of useful recipes;
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This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization;
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OpenGL Shading Language 4 Cookbook is a hands-on guide that gets straight to the point - actually creating graphics, instead of just;
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Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book;
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Packed with practical recipes, this is a step-by-step guide to learning data visualization with D3 with the help of detailed illustrations;
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for developing 3D applications, OpenGL is widely used in video game development, visualization and simulation, CAD, virtual reality, modeling;
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If you are new to OpenGL ES or have some experience in 3D graphics, then this book will be extremely helpful in raising your expertise;
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in learning effective data visualization techniques with R and a wide-range of its associated libraries.;
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Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists;
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learning. Each recipe is specifically tailored to satisfy your appetite for producing real-time 3-D graphics using GLSL 4.0. If you are an OpenGL;
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From beginner to Jedi, this cookbook has a recipe for everyone, whether you're just learning how to create data visualizations or have;
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Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for;
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resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and;
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Includes Complete Coverage of the OpenGL (R) Shading Language! Today's OpenGL software interface enables programmers to produce;
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of graphical networks without having to write any code Learn to optimize the Gephi plugins for efficient data visualization Who This Book Is ForIf;
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popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x;
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processing with OpenGL 4.6 Key Features Explore techniques for implementing shadows using shadow maps and shadow volumes Learn to use GLSL features;
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data visualization, or just want to play around with math in a visual way, Mathematica Cookbook is ideal for professionals and hobbyists from;
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This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies;
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provides detailed recipes for managing a wide range of common iOS game-development issues, ranging from 2D and 3D math, SpriteKit, and OpenGL to;
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data with other graphics formats. The OpenGL Technical Library provides tutorial and reference books for OpenGL and Open Inventor. The library;
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OpenGL is the fastest and most widely available software standard for producing high-quality color images of 3D scenes. This practical;
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly;
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This books programming-friendly;
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