A book is being worked on, but in the meantime the webpage has a good getting started guide: https://rapids.ai/start.html
Our blog is also a good place to take a look: https://medium.com/rapids-ai
In general it’s very similar to pandas. With dask support GPU memory is now no longer a limitation so you can iterate over data of arbitrary size which is amazing. It works like magic.
Finally, I’ve got a team work on a project https://github.com/NVIDIA/NVTabular that covers dataloaders for PyTorch and Tensorflow. We’ll have a new release shortly. This sprint we’ll be working on a fastai2 integration.