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3D Python

Discover 3D Point Cloud Processing with Python

Tutorial to simply set up your python environment, start processing and visualize 3D point cloud data. Highlights Anaconda, NumPy, Matplotlib and Google Colab.

Florent Poux, Ph.D.
Towards Data Science
8 min readApr 13, 2020

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5-Step Guide to set-up your python environment

  • We need to set-up our environment. I recommend to download Anaconda Navigator, which comes with an easy GUI.
  • Once downloaded and installed, create an environment (2nd tab on the left > Create button), which allows you to specify a python version (the latest is fine). You know it is selected when the green arrow is next to it.
Anaconda GUI — Manage independent projects through environments with different libraries / Python versions
  • Once created, you can then link wanted libraries without conflicts. Very handy! For this, just search packages in what is installed (E.g. NumPy, Matplotlib), and if it is not popping, then select Not installed, check them both and click on Apply to install them. Numpy and Matplotlib are standard libraries that will be useful for this and future projects.

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Towards Data Science
Towards Data Science

Published in Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

Florent Poux, Ph.D.
Florent Poux, Ph.D.

Written by Florent Poux, Ph.D.

🏆 Director of Science | 3D Data + Spatial AI. https://learngeodata.eu (💻 + 📦 + 📙 + ▶️)

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