November 8-10, 2013
1 Chase Manhattan Plaza
New York, NY
PyData.org is the home for all things related to the use of Python in data management and analysis. This site aims to make open source data science tools easily accessible by listing the links in one location. If you would like to submit a download link or any items to be listed in PyData News, please let us know at: [email protected]
PyData conferences are a gathering of users and developers of data analysis tools in Python. The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization.
We aim to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and oppor- tunities for package developers and users to meet in person.
A major goal of PyData events and conferences is to provide a venue for users across all the various domains of data analysis to share their ex- periences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems.
PyData is organized by NumFOCUS with the generous help and support of our sponsors. Proceeds from PyData are donated to NumFOCUS and used for the continued development of the open-source tools used by data scientists If you would like to volunteer to be a part of the PyData team contact us at: [email protected]
Continuum Analytics is sponsoring the PyData NYC kickoff event, Drinks and Data, November 8 from 7:00 PM-9:00 PM at Ryan Maguire's Ale House. Please join us for drinks, appetizers and an opportunity to mingle with fellow Python data enthusiasts.
This event is free, but you must REGISTER for it separately from your conference registration.
We are proud to announce that Diversity Scholarships are available for PyData NYC. These awards are made possible through NumFOCUS, the generous sponsorship of our Diamond Partner, JP Morgan, as well as our Diversity Scholarship partners Data Nitro and Data Pad.
We are committed to fostering a diverse community and culture that respects and values our attendees differences. We strongly encourage any women or members of other under-represented groups to apply. Please send us a short email, including your name and reason for wanting to attend PyData NYC, to [email protected] by 10/29/13.
If you haven't already, check out the incredible PyData NYC Schedule!
We received many outstanding proposals, making narrowing down the field a hard job for the Review Committee. Thank you to all who submitted abstracts. We appreciate your interest and support of PyData.
The Call For Proposals deadline has been extended through September 20.
Submit your bio and a short abstract of your talk or tutorial idea online.