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Okay, now that your Jetson Nano is up and running, let's talk about the essential software and tools you'll need to get the most out of it. This **Jetson Nano tutorial** will give you a leg up. First and foremost, you'll be working with the **Linux operating system**. The Jetson Nano runs on a customized version of Ubuntu, so if you're not familiar with Linux, it's a good idea to brush up on the basics. You can find tons of online resources and tutorials to help you get started. Next up, you'll need a way to develop and run your AI applications. The good news is that NVIDIA has made this super easy. They provide a comprehensive SDK, called **JetPack**, which includes everything you need. This **Jetson Nano tutorial PDF** will explain it. JetPack includes the CUDA Toolkit, which allows you to harness the power of the Jetson Nano's GPU for parallel processing. It also includes libraries like cuDNN and TensorRT, which are optimized for deep learning tasks. These tools are absolutely crucial for building and running AI models on your Nano. You'll likely be working with programming languages like Python. Python is the go-to language for AI and machine learning, and it's well-supported on the Jetson Nano. You can install Python and various AI libraries using the `pip` package manager. Some of the most popular libraries include TensorFlow, PyTorch, OpenCV, and scikit-learn. These libraries provide the tools you need to build and train your AI models, process images and videos, and perform other exciting tasks. This is the core of this **Jetson Nano tutorial**.
* **Directories:** 755 (rwxr-xr-x) – Owner: read, write, execute; Group: read, execute; Others: read, execute.
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