Books 3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows by Florent Poux

"3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows" by Florent Poux is a practical, hands-on guide for data scientists, engineers, and researchers working with 3D data. The book focuses on leveraging cutting-edge algorithms, spatial AI models, and Python libraries (including Open3D) to load, manipulate, analyze, and visualize 3D datasets such as point clouds, voxels, 3D CAD models, and meshes.

Key topics include:

Core concepts and representations of 3D data

Advanced AI algorithms for 3D pattern recognition (both supervised and unsupervised)

3D reconstruction techniques to generate accurate 3D datasets

Automated 3D modeling and generative AI workflows

Practical applications spanning computer vision, geospatial intelligence, scientific computing, robotics, and autonomous driving

Building precise digital environments optimized for spatial AI solutions

Florent Poux, a leading authority in 3D data science, shares extensive Python code and clear explanations to help readers develop robust, production-ready 3D data processing systems with a focus on automation and real-world impact. The book is aimed at enabling readers to understand, build, and deploy advanced 3D data science workflows efficiently and effectively.