emcee

5000 stars. That's an interesting threshold. I've checked and astropy -- the main python module used by pretty much every python user in astrophysics has 5100 stars. I would guess almost no open source code in science would pass the threshold. EDIT: Just another test, one of the most used codes in astro -- an ensemble Markov-Chain Monte-Carlo sampler https://github.com/dfm/emcee has 1600 stars. It just shows the 5000 stars is a bit PR, rather than a serious attempt to help open source.

Nothing really productive to say to anyone except professional astronomers in the room: This is a similar tutorial we went through at ESA: http://python4esac.github.io/index.html This is a more advanced machine learning focused module, go through the "book figures" and example code is given. I also have a collection of slides on the module if anyone is interested: http://www.astroml.org This is a padova isochrone query tool for python: https://github.com/jonathansick/padova MCMC library, arguably better than pymc, written by astronomers: https://github.com/dfm/emcee Lifesaver on how to make fancy plots: http://matplotlib.org/gallery.html Not python specific, tools of the trade: http://aladin.u-strasbg.fr (star chart with survey data overlays), http://www.star.bris.ac.uk/~mbt/topcat/ (table manipulation and quick visualization for CSV, FI