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This is the wiki for PyLunch Nova. It's main purpose is a moderately disorganized, crowd-sourced list of resources. Feel free to edit if you think you have something to add!

Python Data Science Handbook Recorded Sessions

The full content of the book is in this GitHub repo.

Some of these recordings require you to have the Webex Player installed...

• Session 1 Recording: Covers 01.00 to 01.03 (February 14, 2017)
• Session 2 Recording: Covers 01.04 to 01.05 (February 28, 2017)
• Session 3 Recording: Covers 01.06 to 01.08 (March 28, 2017)
• Session 4 Recording: Covers 02.00 to 02.02 (April 11, 2017)
• Session 5 Recording: Covers 02.XX to 02.YY (April 25, 2017)
• Session 6 Recording: Covers 02.XX to 02.06 (May 9, 2017)
• Session 7 Recording: Covers Safari/book tour and 02.06 (May 23, 2017)
• Session 8 Recording: Covers 02.07 to 02.09 (June 6, 2017)
• Session 9 Recording: Covers 02.09 through Astropy Units Interlude (June 20, 2017)
• Session 10 Recording: Covers 03.00 to 03.02 (July 25, 2017)
• Session 11 Recording: Covers 03.02 to 03.03 including Astropy Table/Pandas comparison interlude (August 5, 2017)
• Session 12 Recording: Covers 03.03 through 03.04 (September 5, 2017)
• Session 13 Recording: Covers 03.05 through part of 03.07 (September 26, 2017)
• Session 14 Recording: Covers 03.07 through part of 03.08 (October 31, 2017)
• Session 15 Recording: Covers remainder of 03.08 (November 13, 2017)
• Session 16 Recording: Covers 03.09 through part of 03.11, including Astropy.time summary (November 28, 2017)

Python Language Tutorials

• Official tutorial from the Python documentation (v3.5, v2.7)
• CodeAcademy tutorial
• Windwhirl Tour of Python

Astro or science-oriented Python Tutorials

• Astropy Tutorials
• Numpy Tutorial
• "Practical Python for Astronomers" (note that this is now rather out-of-date)
• 100 Numpy Exercises

Git Tutorials

• Git Immersion
• Atlassian Git Tutorials