WebGPU Data Visualization Cookbook (2nd Edition)

WebGPU Data Visualization Cookbook (2nd Edition)

Published: February 22, 2025

ISBN: 979-8311744461

webgpu wgsl graphics compute shader
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About This Book

An essential reference for modern professional-grade graphics solutions that will transform your development process.

Key Features

  • Performance optimization techniques
  • Hands-on exercises with real-world scenarios
  • Hands-on exercises with real-world scenarios
  • Comprehensive coverage of best practices and patterns
  • Companion website with code samples and resources

Reader Photos

Reader photo of WebGPU Data Visualization Cookbook (2nd Edition)
Reader photo of WebGPU Data Visualization Cookbook (2nd Edition)
Reader photo of WebGPU Data Visualization Cookbook (2nd Edition)

Community Reviews

4.8/5 (174 reviews)
5 stars (85%)
4 stars (10%)
3 stars (3%)
2 stars (1%)
1 star (1%)

Discussions About This Book

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Applying concepts from WebGPU Data Visualization Cookbook (2nd Edition) in real projects

Posted by Rowe Phillips 9 hours ago

WebGPU Data Visualization Cookbook (2nd Edition) isn't just another technical manual—it's a thoughtful exploration of what it means to be an effective developer in today's landscape. The authors blend technical depth with philosophical insights that have changed how I think about my craft.

wgsl
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Drew Roberts

I've been recommending WebGPU Data Visualization Cookbook (2nd Edition) to everyone. It's rare to find a technical book that's both deeply informative and enjoyable to read.

5 hours ago
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Is WebGPU Data Visualization Cookbook (2nd Edition) worth the read?

Posted by Jordan Collins 11 hours ago

As a senior developer, I'm often skeptical of technical books, but WebGPU Data Visualization Cookbook (2nd Edition) surprised me. The authors don't just explain how things work—they explain why they work that way, which is crucial for truly understanding these concepts. The sections on graphics are worth the price alone.

ai
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Is WebGPU Data Visualization Cookbook (2nd Edition) worth the read?

Posted by Cameron Green 4 hours ago

WebGPU Data Visualization Cookbook (2nd Edition) isn't just another technical manual—it's a thoughtful exploration of what it means to be an effective developer in today's landscape. The authors blend technical depth with philosophical insights that have changed how I think about my craft.

visualization
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How WebGPU Data Visualization Cookbook (2nd Edition) changed my approach to development

Posted by Jordan Torres 12 hours ago

As a senior developer, I'm often skeptical of technical books, but WebGPU Data Visualization Cookbook (2nd Edition) surprised me. The authors don't just explain how things work—they explain why they work that way, which is crucial for truly understanding these concepts. The sections on graphics are worth the price alone.

visualization
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Casey Nelson

The section on optimization in WebGPU Data Visualization Cookbook (2nd Edition) is brilliant. I applied their recommendations to our legacy codebase and saw a 40% performance improvement.

1 hours ago
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Applying concepts from WebGPU Data Visualization Cookbook (2nd Edition) in real projects

Posted by Emerson Wilson 22 hours ago

I've been working with webgpu for over five years, and I still found valuable insights in WebGPU Data Visualization Cookbook (2nd Edition). The chapter on wgsl particularly transformed how I approach my work. The examples are practical and the explanations are clear without being oversimplified.

shader
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Applying concepts from WebGPU Data Visualization Cookbook (2nd Edition) in real projects

Posted by Parker Anderson 1 hours ago

What sets WebGPU Data Visualization Cookbook (2nd Edition) apart is its focus on practical application. Each chapter includes exercises that challenge you to apply what you've learned, and the companion website provides additional resources. I've already incorporated several techniques into my daily work.

ai
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Jules Smith

The section on optimization in WebGPU Data Visualization Cookbook (2nd Edition) is brilliant. I applied their recommendations to our legacy codebase and saw a 40% performance improvement.

3 hours ago
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Morgan Young

The section on optimization in WebGPU Data Visualization Cookbook (2nd Edition) is brilliant. I applied their recommendations to our legacy codebase and saw a 40% performance improvement.

1 hours ago