hot007
commented
2 years ago Data carpentry: https://carpentries-lab.github.io/python-aos-lesson/ might be the most on topic Carpentries course but we could also point to Software carpentry: https://software-carpentry.org/lessons/ HPC carpentry: https://carpentries-incubator.github.io/hpc-intro/
dougiesquire
I've started opening issues for notebooks I think might be interesting. But maybe we also need this issue to collect info of where to look for them. So add whatever you think it's useful here
CMS blogs: https://climate-cms.org/index.html. (if you have a look at these, while you're there let us know if they could be tagged better :-) )
Pangeo: https://github.com/pangeo-data/pangeo-example-notebooks
Cosima cookbook: https://cosima-recipes.readthedocs.io/en/latest/documented_examples/index.html
NCI training: https://github.com/NCI-data-analysis-platform/examples-dask and https://github.com/NCI-data-analysis-platform/climate-cmip
Pawsey training resources: https://pawseysc.github.io/training.html I couldn't find the material but I went to one of their training on how to use python and numba and other python related stuff, so they might be available somewhere
software carpentry?
EarthPy: http://earthpy.org (this looks a bit old though last post was 2017, still you never know!)
Not sure about this as I don't use Julia and it's for oceanography rather than climate but I know some of our researchers are using Julia, so there you go: https://juliaclimate.github.io/GlobalOceanNotebooks/
Slightly different resource, Real Python Machine learning tutorials: https://realpython.com/tutorials/machine-learning/ While they're not applied necessarily to relevant examples they could help as introduction and evaluation of packages