3D Data Science with Python. Building Accurate Digital Environments with 3D Point Cloud Workflows, Paperback

This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D CAD models, meshes, images, and more.

• Publisher: O'Reilly Media
• Author(s): Florent Poux
• Number of pages: 500
• Publication date: 2025
• Dimensions: 234 x 179 x 38
• Cover type: Paperback / softback