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AOL discontinues dial-up, and now your grandkids will never know that classic, scratchy handshake sound – here's why that's a shame
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101 Data Visualization and Analytics Projects: A Hands-On Journey Through 101 Data Visualization and Analytic Project Examples
101 Data Visualization and Analytics Projects: A Hands-On Journey Through 101 Data Visualization and Analytic Project Examples is a groundbreaking work in webgpu. Featuring 10 chapters of thought-provoking content, this book illuminates our understanding of webgpu.
"Infinite diversity in infinite combinations."
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What do you call a Vulcan who tells jokes? A stand-up logician.
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books programming computers & technology graphics javascript compute webgpu web development & design simulation wgsl shader visualization computer science ray-tracing machine learning vulkan ai & machine learning game programming psychology games & strategy guides neural networks data visualization graphics & design analytics 3d graphics python animation science & math patterns physics5 a Day for Your Brain
Just like fruits for your body, these activities nourish your mind daily
- Read for 30 minutes (fiction boosts empathy!)
- Learn something new (a word, fact, or skill)
- Solve a puzzle (crossword, Sudoku, etc.)
- Practice mindfulness (5 minutes of meditation)
- Physical exercise (even a short walk helps)
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Community Discussions
Discussion about data storytelling in Data Visualization+Blender/Scripting/Python All-in-One (Paperback)
Posted by Jessica Wilson
Can someone help me understand Blender scripting from chapter 5? I'm struggling to see how it connects to open-source tools....
Discussion about open-source models in 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)
Posted by Lisa Jones
Discussion: What did everyone think of the author's treatment of transformers? I found it more accessible compared to other works in the field....
Discussion about Blender scripting in 101 Blender Scripting Projects (Paperback)
Posted by Sarah Rodriguez
Can someone help me understand Python from chapter 5? I'm struggling to see how it connects to Blender API....