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WebGPU Data Visualization Cookbook (2nd Edition)

By Kenwright

WebGPU Data Visualization Cookbook (2nd Edition) provides a fresh and engaging entry point into one of the most dynamic areas of modern tech.

WHAT THE PUBLISHER HIGHLIGHTS

  • Master practical coding skills.
  • Explore real-world projects.
  • Accelerate your learning curve.

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Catalogue reference: 541bbafee4f631cb

INSIDE THE BOOK

About this book

WebGPU Data Visualization Cookbook (2nd Edition) offers a comprehensive and in-depth guide that walks you through the concepts, applications, and best practices. With a strong focus on hands-on examples and real-world relevance, it empowers you to not just learn the theory but to apply it in meaningful ways across graphics, compute, and more.

From the publisher’s description

  • Master practical coding skills.
  • Explore real-world projects.
  • Accelerate your learning curve.
  • Demystify advanced technical topics.

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A CLOSER LOOK

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ANOTHER PERSPECTIVE

Readers, in their own words

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Reader review4

Almost excellent

Almost excellent. A second edition could easily push it to five stars.

I came to this book already familiar with the basics, and it still had plenty to offer. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Solid, and I would buy another book from this author without hesitation.

Liam WhiteData engineer · Buenos Aires, AR
WebGPU Data Visualization Cookbook: (2nd Edition)
Reader review5

Finally, an explanation that clicks

The clearest explanation of ai & machine learning I have come across.

I have been working with ai & machine learning for a few years now and I still found plenty here that was new to me. The writing is direct and does not waste space on filler, which I value in a technical book. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. One of those books that pays for itself within the first few chapters. Highly recommended.

Jessica KingFrontend developer · Prague, CZ
WebGPU Data Visualization Cookbook: (2nd Edition)

BEYOND THE BOOKSHELF

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