PyData Introduction

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PyData NYC 2012

Transcript of PyData Introduction

Page 1: PyData Introduction

PyDataNYC 2012

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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

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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.

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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.

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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!

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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

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PyDataNYC 2012