PyData brings together both users and developers of data analysis tools to share ideas and learn from each other. The goals are to provide data science enthusiasts, across various domains, a place to discuss how best to apply languages and tools to the challenges of data management, processing, analytics, and visualization.
We aim to be an accessible, community-driven conference, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
PyData began as a workshop held in March of 2012 at the Googleplex in Mountain View, CA. Travis Oliphant and Peter Wang, from Continuum Analytics, along with Julie Steele and Edd Dumbill, from O'Reilly, organized the event. Many prominent individuals in the community were on-hand to deliver tutorials and discuss the current state of the Python Scientific Stack. Unfortunately, many who wanted to attend were unable to do so due to limited space. In light of the demand and the success of that first event, a much larger venue was reserved for the first PyData conference, held in NYC in November. The sold out event served as a foundation to launch today’s PyData community.
In 2013 PyData grew to 3 events, Silicon Valley, Boston, and New York City. PyData NYC 2013, hosted by J.P. Morgan, was attended by over 400 and included NumFOCUS’ first Women in Technology Workshop for high school young women. Widespread community interest in 2014 led to the first European PyData events taking place in London and Berlin, as well as worldwide PyData meetups. 2014 US conferences included PyData NYC, and PyData SV, hosted by Facebook.
PyData saw further growth in 2015 with conferences in 7 locations; Dallas, London, Berlin, Seattle, and NYC, and a PyData track in Florence as part of PyCon Italy. Demand for regional events hit an all-time high in 2016 with 11 events taking place in Amsterdam, Madrid, London, Florence, Berlin, Paris, Bilbao, San Francisco, Chicago, Carolinas, and DC.