Introductory slides for the PyData NYC 2012 event.

1. PyData
NYC 2012

2. 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

3. 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.

4. 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.

5. 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!

6. 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

7. PyData
NYC 2012