In contrast with academics in other fields, economists and other social scientists have been slow to adopt new open source programming languages, instead sticking with expensive proprietary applications like Matlab and STATA when doing modeling or running complex analyses on data.  Because such programs cannot be used without a license, their popularity hamstrings reproducibility, hampers archiving, and hinders reuse of research that employs them. This grant funds efforts by Nobel Prize–winner Tom Sargent of New York University and computational economist John Stachurski of Australian National University to speed the adoption of Python—a compact, powerful open source programming and computation platform—among economists and social scientists.  Funds from this grant will bring Stachurski to NYU for a year to work with Sargent on expanding and promoting the usefulness of Python to economists everywhere.  They will develop free Python modules and teaching materials, publicize the capabilities of the new iPython notebook, give presentations, publish a textbook, and further develop the materials and resources freely available on their website, quant-econ.net.