O'Reilly Published

3D Data Science with Python

My O’Reilly book. 420 pages on turning raw point clouds into working spatial systems. Everything I wish someone had written when I started, and the exact methods engineers at Meta, Airbus and CNRS now run in production.

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420 Pages

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I wrote this book because no one had. Tools change every year. The pipeline doesn't. I wanted a single place where the full chain, acquisition to deployed insight, was explained the way I wish someone had explained it to me.

— Dr. Florent Poux

Founder, 3D Geodata Academy

Your Master Guide

Meet Dr. Florent Poux

The unique bridge from field experience to academic excellence to
entrepreneurial success. Dr. Poux has guided thousands from
confusion to mastery in the 3D geodata realm.

Author & Researcher

Published expert in spatial AI and
3D reconstruction

Industry Leader

Trusted by professionals at
Google, Intel, and beyond

Field Pioneer

Real-world experience from
excavation to innovation

Founder

Building the future of spatial
intelligence

“From excavation sites to AI breakthroughs – I’ve walked every
step of this journey. Now, I’ll guide you on the fastest path to
3D mastery.”

— Dr. Florent Poux

How I Help

I’ve raised millions for startups. I’ve published with O’Reilly. I’ve taught at university and led R&D for major companies.

I don’t teach syntax. I teach judgment. Every track is built around real decisions. Which neural renderer fits an industrial inspection job. How to architect a semantic pipeline that scales past the demo. How to ship AI workflows, not just prototype them.

You walk away with tools that keep paying off. Not a certificate on a shelf.

Your Learning Journey

18 expertly crafted chapters that progressively build your expertise— from first principles to cutting-edge AI techniques. Each chapter includes practical Python code, real-world datasets, and hands-on projects.

Production-ready code

Real datasets included

Latest AI techniques

Chapter 1 : Introduction to 3D Data Science

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Foundation concepts and the evolution of spatial intelligence

Chapter 2 : Resources and Software Essentials

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Complete toolkit setup for professional 3D dataprocessing

Chapter 3 : 3D Python and 3D Data Setup

Master the Python ecosystem for spatial computing

Chapter 4 : 3D Data Representation and Structuration

Efficient data structures for large-scale point clouds

Chapter 5 : Developing a Multimodal 3D Viewer with Python

Build interactive visualization systems from scratch

The Vision

Six years ago I watched a senior engineer, brilliant with code, freeze in front of executives. The question was simple. “Should we use this tech, or that one?”

The Academy exists to build technical leaders who design systems instead of following tutorials. People who can walk into a room full of conflicting data, tight budgets and unclear tech, and still make the call.

Because in the AI era, everyone can run the tools. The edge belongs to those who know which one to pick, and why.

The Learning Path

Master 3D Data Science with Dr Florent Poux

An all-in-one resource to become an expert in 3D data science with Python

Ready to build with it?

15,000+ readers use this book to ship real systems in the field. Grab your copy and start building.

Ready to build with it?

15,000+ readers use this book to ship real systems. Autonomous platforms, digital twins, scene understanding. Whatever you’re building, the methods inside have shipped in production.