Make a Resources page

[kelle]

We need to have a page with other tutorials and educational materials.

from @bmorris3, as a pre-req for workshops:

One recommendation that might work for now is to share the link to Jake VanderPlas’ free ebook A Whirlwind Tour of Python as a “prerequisite knowledge” resource: https://www.oreilly.com/programming/free/files/a-whirlwind-tour-of-python.pdf

A higher level one: https://www.datacamp.com/courses/software-engineering-for-data-scientists-in-python

[pllim]

http://swcarpentry.github.io/python-novice-inflammation/ (data is not astronomy specific but if you want novice Python lesson, you might find it helpful)

[ahriley]

Worth noting that DataCamp has had issues with sexual assault within the company that were poorly handled, and many instructors have been telling people not to take their course on DataCamp in response

https://www.noamross.net/2019/04/12/datacamp-sexual-assault/

[pankajb64]

Sharing this link to a series of short "Intro to Astropy" tutorials - https://www.youtube.com/playlist?list=PL7kL5D8ITGyV7zeT-oADweFKHsZNh3tKV

[laudb]

I think the notebooks from the past workshops are quite helpful:

• https://github.com/astropy/past-astropy-workshops

Here are some others that I've come across:

• Data-driven astronomy on Coursera : https://www.coursera.org/learn/data-driven-astronomy

• STScI https://github.com/spacetelescope/scientific-python-training-2015

• STScI https://github.com/spacetelescope/notebooks

• Gravitational Wave Open Science Center https://www.gw-openscience.org/tutorials/

[kelle]

http://summerappspace.com/curriculum/?fbclid=IwAR0zpO1r51jiwPlrpzgQ1FwP4U78RZnAOfII5I24XmKMgcvpzfe2ZrP01EI

[kelle]

Beginners Guide to to Working with Astronomical Data by Markus Pössel

This elementary review covers the basics of working with astronomical data, notably with images, spectra and higher-level (catalog) data. The basic concepts and tools are presented using both application software (DS9 and TOPCAT) and Python. The level of presentation is suitable for undergraduate students, but should also be accessible to advanced high school students.

[kelle]

• https://jakevdp.github.io/PythonDataScienceHandbook/
• https://github.com/Morisset/Python-lectures-Notebooks

[jehturner]

Not forgetting The Python Tutorial, which I found useful back in the day.