A curated list of learning resources

[lheagy]

Following up from the EarthCube meeting on Sept 10, one item that came to light was that it would be valuable to have a curated / opinionated list of learning resources to onboard scientists to the Jupyter, Pangeo, and Python ecosystems.

Here are a few that we discussed

• Carpentries
• EarthLab @ CU Boulder
• ICESat-2 Hackweek tutorials
• A python introduction to Earth Science
• Binder
  • Presentation on Binder at SDSS
  • Binder documentation

What others do you highly recommend?

How should we arrange these on the website? Here are a couple potential headings, I would be curious to hear others thoughts!

• learning Python
• working on the cloud
• working with large data
• sharing your results
• others?

[andersy005]

The Pangeo gallery houses a collection of great learning resources

[fperez]

Idea suggested by @lheagy in discussion - let's contact some of the participants in today's call and suggest a recorded "office hours" where we help onboard them and take their questions, but make that available later to the public.

[lrennels]

That sounds like a great idea @fperez , I know for our work on Mimi we also started a forum (https://forum.mimiframework.org) which has allowed us to monitor questions and also get a general sense for the needs. Obviously the scope of that work is far tighter but I thought I'd mention it. I monitor it and answer questions, and then dispatch ones I can't answer or need to discuss to the rest of the team.

[fperez]

Indeed @lrennels! We've been mostly using the Pangeo discourse as a home for announcements/discussions related to this effort, and can hopefully direct more resources there to strengthen that as the space where a Jupyter/Pangeo community focused on geosciences can grow. Glad to hear this matches successes in your experience, thx :)

[lrennels]

@fperez ah perfect I didn't see that, good to know!

[consideRatio]

Some quick notes

• To get an ecosystem overview suggested as very valuable by @fperez and I agree!
• Transparent research / reproducibility etc: https://www.youtube.com/watch?v=S1qK_TA52e4&list=PLj8QFvBykB7dtTd_HiOTbctHvU6pbGC0i
• Jupyter and python intro: https://www.youtube.com/watch?v=aIbvUDF0Pfg&list=PLj8QFvBykB7fGEH274TlqhToqGd_Qxt1H

[lheagy]

These were surfaced at the AGU session @fperez and @alicecima spoke at:

• https://earthdata.nasa.gov/learn/user-resources/webinars-and-tutorials/cloud-primer
• https://earthdata.nasa.gov/learn/user-resources/webinars-and-tutorials/how-to-cloud-for-earth-scientists

[rabernat]

Don't forget my book! 😄

http://earth-env-data-science.github.io/