3D Data Science with Python

Preface

The physical world we live in is grounded in three dimensions. With new technologies, we can digitize or emulate its geometry, which opens up marvelous spatial playgrounds. From medical scans used to create detailed visualizations of internal organs to self-driving cars, where 3D data is used to create detailed road network maps, 3D digital assets are becoming the backbone of critical decisions.

This book, 3D Data Science with Python, stands out with its hands-on approach. It actively involves you by sharing the ideas, tools, and methods to unlock the power of spatial AI.

But why not exclusively depend on computer vision and computer graphics? Why are traditional non-3D data science methods inadequate for effectively handling 3D data?

These initial questions beautifully convey how we approach 3D data science in our modern world. Come with me as I take you on a journey that will change the way you think about and deal with complicated, three-dimensional data. Be wary, though, because it’s difficult to stop analyzing everything that your senses (sight, sound, and touch) bring back to you after reading.

3D data science is the pinnacle of mathematical excellence, computational rigor, and 3D data expertise. Combined, these fields create a new branch of data science with wide-ranging applications integrated into the most advanced workflows, ensuring you stay relevant and connected to the forefront of modern technology.

Here are some key applications from six domains where 3D ...