3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows
by Florent Poux
Explore 3D data science with Python through workflows centered on point clouds and digital environments. This book introduces the concepts and practices involved in processing three-dimensional spatial data and building accurate digital representations, making it a useful guide for readers working across programming, data science, and 3D modeling.
About This Book
This book focuses on using Python for 3D data science and digital environment creation.
It introduces workflows built around 3D point clouds, with attention to processing and developing accurate three-dimensional representations.
Designed for readers interested in the intersection of programming, spatial data, and digital modeling, it presents the subject through a data science perspective.
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