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A curated list of learning resources

Open lheagy opened this issue 5 years ago • 8 comments

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

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?

lheagy avatar Sep 10 '20 20:09 lheagy

The Pangeo gallery houses a collection of great learning resources

andersy005 avatar Sep 10 '20 20:09 andersy005

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.

fperez avatar Sep 11 '20 00:09 fperez

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.

lrennels avatar Sep 11 '20 01:09 lrennels

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 :)

fperez avatar Sep 11 '20 04:09 fperez

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

lrennels avatar Sep 11 '20 04:09 lrennels

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

consideRatio avatar Sep 14 '20 17:09 consideRatio

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

lheagy avatar Dec 07 '20 16:12 lheagy

Don't forget my book! 😄

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

rabernat avatar Dec 07 '20 17:12 rabernat