I agree with what onlinexdjw1 says. I followed a couple of YouTube’rs like jetsonhacks and Paul McWhorter (TopTechBoy) so I could get the nano up and running. I was able to get my headless setup and then remote Jupyter Lab.
Then I went to the getting started course and found that I should have flashed the dlinano image which means that all the configs I setup on my 128G sdcard might need to be scrapped.
Having two sdcard images seems dumb. There is no simple post or article explaining what the difference between the two images are. Jetpack, dlinano etc. That would help us decide which to use. I don’t want two. That will complicate things.
So why does jetpack not include the courseware and an integrated set of dependencies so I could at least run the starting notebooks? A single image that everyone can get going with?
There is a tower of babel of threads and posts all over this forum and stackoverflow that makes this seem really knotted up as a developer learning path.
Nvidia: How about saving data science people some heartache and get all of this ported to Anaconda? That would save us a lot of wasted time and effort.