Install Anaconda on NVIDIA Jetson Tutorial - All the Pythons for AI & ML!
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Want to unlock the full potential of Python on your NVIDIA Jetson? In this tutorial, we guide you step-by-step to install Anaconda on your Jetson device, empowering you to run multiple Python environments—even Python versions that aren’t available in JetPack!
Using a Jetson Nano 4GB, we demonstrate how to install and configure Python 3.12 and 3.10, and integrate them seamlessly into Visual Studio Code for a smoother workflow. This tutorial works on all Jetson models.
Plus, we dive into how Anaconda works behind the scenes, and compare it to other tools like pip and venv, so you can see why it’s the best choice for your Python projects on NVIDIA Jetson. Whether you’re working on AI, machine learning, or development projects, this guide is your gateway to a more flexible and professional Python setup!
We used this SD card on the Nano:
64GB SD card: https://amzn.to/45Xbmeo
In the video, the version installed is: Miniconda3-py312_24.9.2-0-Linux-aarch64.sh
00:00 Intro
00:22 Anaconda Installation using Miniconda
02:49 Create custom Python environment
03:33 Visual Studio Code integration
04:18 How Anaconda works
07:34 Python Package Manager - Anaconda and Pip
08:19 Anaconda versus venv
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