Installed since a few days my first Linux PC ever, approaching the stage want to configure the environment for testing and learning with fastai and other frameworks.
Confused what’s the more beginner (with just basic Python experience) friendly way to install and use fastai and the cuda acceleration.
When I was on Windows I tried Docker as the most safe solution, one image with all. On Linux I think pip, virtualenv, conda (but also pipenv or others) are also suitable but can’t understand how to proceed nor want to start messing with my new system.
Also my idea was using some IDE such as Kdevelop (installed Kubuntu) to ease my Python usage, so my concern is how complex is working with various setups and an IDE (i. E. Just discovered it’s not straightforward to make docker container read the external host file system).