Your entry point into 3D data science with Python. Set up a clean environment, load your first point cloud, and build the foundations that every advanced workflow relies on.
Your 3D bookmarks are a pile of tutorials that never reference each other. Here is the whole field of 3D spatial AI with Python, six skills wired into one pipeline you can build.
3D Spatial AI The Complete Guide Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 3 July 2024 This guide helps you get started with Python for 3D Data Science. It covers the essential steps in setting up your environment, including the resources you’ll need and the workflow to follow. By […]
3D Python Environment Setup: 7-Steps Guide for Beginners Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 18 January 2024 3D Roadmap Recommendations for 2024 In this episode, I am showing you my 3D Roadmap Recommendation for 2024. We are going to cover the various aspects of 3D Data Science and Processing and […]
3D Roadmap Recommendations for 2024 Read More »
By Dr. Florent Poux, PhD in 3D geospatial sciences | Author, 3D Data Science with Python (O’Reilly) | Published 30 September 2022 Julia Tutorial for 3D Data Science Discover the make-it-all alternative to Python, Matlab, R, Perl, Ruby, and C through a 6-step workflow for 3D point cloud and mesh processing. If you are always on […]
Julia Tutorial for 3D Data Science Read More »
