Python and Big Data• Python has become an established language for scientiﬁc, engineering, and technical computing• Ubiquitous in industry for all kinds of problems large and small - National labs - Finance - Oil & Gas - Consumer Products - Aerospace / Defense
Next Steps• Challenge is now to build/expand this community around out-of-core and distributed data structures and algorithms.• A unifying focus of the PyData community.• The accessibility of Python syntax will empower the next generation of “data scientists” just as it has empowered this generation of “real” scientists.
A few thoughts on how• Integration with as much as possible: Python is and should remain the ultimate glue (need Python .JVM equivalent of Python .NET)• Compelling new features (Python compiler, out-of- core data structures, R-inspired data-frames with hierarchical indexing, meta-data enhanced plotting)• Focus on pragmatic solving of real problems easily not on language fanboyism or feature-fetish. Empower domain experts and the occasional programmer.
Thank you!• Our Sponsors - DE Shaw and Co - Appnexus - JPMorgan - NumFOCUS - PSF• Our Organizers: People at Continuum Analytics, Inc., Lambda-Foundry• Our Speakers: They put a lot of effort into both the talks and the work being discussed• Attendees: your participation makes this all possible!
Reminders• Sign up for the hack-a-thon: http://pydata.eventbrite.com/ - Bring your photo-ID that matches your registration name - Need to be on the list to be admitted. List being sent over at noon - Sign up to lead BOFs, sprints, or demos at wiki page: http://tinyurl.com/ pydata-sprints• Register for Dinner tonight (included in ticket) - Continuum will present a brief overview of our products and services and answer questions but otherwise it will be lively discussion among friends -Special networking track for students and other people looking for jobs• PyData West in Santa Clara: March 19-21, 2013 - http://pydatawest2013.pydata.org