I figured Id post on here because I am unclear about a couple things and I figured it would be a quick way to clear up some questions I have.
Im curious if libraries like SK Learn, numpy, pandas, h5py etc. are compatible with ARM based processors?
I see for example that Anaconda appears to have a Linux version available for ARM but I am not clear for example if they differentiate between x64 and ARM64 packages and if there's a difference in whats available etc.
I am also curious about running a Docker image with Anaconda and Jupyter notebook and remotely connecting to it. I would run it on an Oracle Cloud instance (ARM based).
Any feedback from anyone who has some insight on these issues?
Pretty much all the tools you mention are just python libraries, so it's just a matter of having a native python build for your OS / aarch64. Linux has that, so if that's your OS, you should get good performance.
Anaconda also has a Linux/aarch64 package (make sure you find that one, rather than the x64 one)
I haven't personally done cloud-based, but there shouldn't be any particular issue if you have access to Arm64-based cloud services. Docker has appropriate images.
Yes, the mentioned python libraries could run on ARM Cortex A processors with Linux.
Instead of cloud, you could also run jupyter notebook on the ARM processor and access it remotely via ssh from your PC.for eg) this is how I accessed it via my PC while the Juptyer notebook was running on Jetson Nano board.github.com/.../jetson_nano_setup_instructions.md