Review & update intro python & R resources for Our Cookbook section - Githubissues

NASA-Openscapes / earthdata-cloud-cookbook

A tutorial book of workflows for research using NASA EarthData in the Cloud created by the NASA-Openscapes team

https://nasa-openscapes.github.io/earthdata-cloud-cookbook

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Review & update intro python & R resources for Our Cookbook section #183

Open jules32 opened 1 year ago

jules32 commented 1 year ago

Review and add resources if relevant for Cookbook audience:

https://openscapes.github.io/cyop/python.html

jules32 commented 1 year ago

Add https://lifescitrainers.org/ https://www.pyopensci.org/

jules32 commented 1 year ago

Also add: https://geo-smart.github.io/curriculum-book/. Machine-Learning focused, however the intro chapters are great and really friendly

stefaniebutland commented 11 months ago

Sean Kross shared these June 2023 in Monday Morning Data Science from the Fred Hutch Data Science Laboratory: https://fhdata.substack.com/p/summer-treat

the following links are some of our favorite free online learning resources for jump-starting folks who want to break into data science this summer.

Python Learning Track:

[Beginner Level: Think Python 2e] by Allen Downey. Also check out the rest of the Think series of books.
[Get Interactive: Python Tutor] by Philip Guo.
[Level Up: Python for Data Analysis 3E] by Wes McKinney.
[Get Interactive: Pandas Tutor] by Sam Lau and Philip Guo.
[Galaxy Brain: What are Embeddings?] by Vicki Boykis.

R Learning Track:

[Beginner Level: R for Data Science 2e] by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund.
[Beginner Level: R Programming for Data Science] by Roger Peng.
[Get Interactive: Tidy Data Tutor] by Sean Kross and Philip Guo.
[Level Up: An Introduction to Statistical Learning] by Gareth James, Daniela Witten, Trevor Hastie, and Rob Tibshirani.
[Galaxy Brain: Mastering Shiny] by by Hadley Wickham.