PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in 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 opportunities for package developers and users to meet in person.
This meetup listing is for the tutorial day only. Three tracks of Python data science tutorials, four tutorials per track, two 90 minute tutorials in the morning and two 120 minute tutorials in the afternoon. Fully catered breakfast, lunch, snacks, and beverages. Tutorials are limited to 200 participants. The talk days are limited to 400 participants. Social events in downtown Durham on the evenings of September 14th and 15th.
To participate, you must register at: http://pydata.org/carolinas2016/
Diversity scholarship applications may be submitted by following the link to the application form at: http://pydata.org/carolinas2016/
To sponsor the conference, email [masked]
To propose a talk or tutorial for the conference, see http://pydata.org/carolinas2016/cfp/
To volunteer at the conference, email [masked]
Follow us on twitter at: https://twitter.com/pydatacarolinas