Proposed grouping of titles

[epogrebnyak]

The list of links will be more digestible if you classify a big chunk of links to smaller ones, so a reader can navigate. Here is a rough grouping proposal:

1. Python for earth scientists

Start with

• Data Carpentry lessons for atmosphere and ocean scientists (@DamienIrving), reviewed by Rob F
• Latest iteration of @rabernat's intro to python "book"
• Python for Geosciences course taught at Texas A&M
• A lightly opinionated guide to reproducible data science

More in-depth

• Unidata Python Workshop material
• @brian-rose's climate modeling lecture notes
• Dask tutorial running on Pangeo Binder: Dataframes, Delayed and Scikit-learn, originaly developed by @mrocklin here
• @rabernat's Research Computing in Earth Sciences course
• Gallery of geoscience examples

2. Pangeo own tutorials

• Pangeo Tutorial for the AGU 2018 meeting
• Pangeo Tutorial for the NCAR Software Engineering Assembly Workshop 2018
• Pangeo Notebook Gallery with various simple or real science examples

3. Datasets and cases

• @robfatland material on the NASA Common Metadata Repository
• Connecting the Regional Cabled Array ocean data to other resources (ARGO, MODIS, ...)
• Land ice velocity (golive) including bootstrapping xarray, reviewed by Siyu Yang
• Bio-Acoustic Transfer learning (@pshivraj), reviewed by Sarah Barnes, Derya Gumustel
• Univ MD Baltimore County big data atmospheric science (flipped classroom)
• Syzygy courtesy Phil Austin
• ESIP workshop feedback sheet

[epogrebnyak]

Also ESIP workshop feedback sheet - is this of general interest? Maybe any comment is needed why it is useful.

[guillaumeeb]

Hi @epogrebnyak,

Sorry for the delay in answer here. I think your grouping titles proposal is good. Could you submit a Pull request for that?

And I agree the feedback sheet should probably be somewhere else...