Creating color palettes using numpy, scikit-learn, and matplotlib

These tutorials are based on the Urban Goggles project created at AstroHackWeek 2016.
More information can be found ond on the AHW Wiki.
Location: GitHub HQ (San Francisco) & Berkeley Institute for Data Science, 29th August – 2nd September, 2016.

Urban Goggles: https://github.com/adrn/urbangoggles

The Jupyter notebooks take you through each step of the process, dissecting some of the functions along the way. The images were downloaded from the Apollo Project Archive Flickr galleries and the Planet Labs Gallery

• Tutorial 1: [Color palettes from Apollo images (nbviewer)] (https://nbviewer.jupyter.org/github/drarnakarick/matplotlib_color_palettes/blob/master/apollo_color_palettes.ipynb)
• Tutorial 2: [Color palettes from Planet Labs images (nbviewer)] (https://nbviewer.jupyter.org/github/drarnakarick/matplotlib_color_palettes/blob/master/planetlabs_color_palettes.ipynb)
• Tutorial 3: [Color palettes from abstract art (nbviewer)] (https://nbviewer.jupyter.org/github/drarnakarick/matplotlib_color_palettes/blob/master/abstract_art_color_palettes.ipynb)

Target audience:

Those who are new to Python and would like to start using the matplotlib and scikit-learn packages. Experience or familiarity with other programming languages (dare I say Fortran, IDL etc.) may be helpful. Comments and suggestions welcome.

Acknowledgements:

Thanks to Adrian–Price Whelan (Princeton), Dan Foreman–Mackey (University of Washington), and Ben Nelson (CIERA - Northwestern University), for sharing their code.