PyData 2013 | New York, NY | Nov 8 - 10

Conference Schedule

Tutorials
November 8

Talks
November 9

Talks and Workshops
November 10

Schedule for Nov. 8, 2013

Time	Track 1	Track 2
8:00 a.m.	Registration & Breakfast Room: 28th Floor
9:00 a.m.	Jake Vanderplas (University of Washington) Machine Learning with scikit-learn Level: Intermediate Room: 2807/2808	Saul Diez-Guerra (Ampush) My First Numba Level: Intermediate Room: 1st Floor Auditorium
10:45 a.m.	Matthew Rocklin (Continuum Analytics) Old School - Functional Data Analysis Level: Novice Room: 2807/2808	Thomas Levine (CSV Soundsystem) ddpy: Data-Driven Music for Big Data Analysis Level: Intermediate Room: 1st Floor Auditorium
12:15 p.m.	Lunch Room: 28th Floor and 1st Floor Auditorium
1:15 p.m.	Karissa McKelvey (Continuum Analytics) Intro to Python Data Analysis in Wakari Level: Novice Room: 2807/2808	Travis Oliphant (Co-Founder & CEO, Continuum Analytics) Packaging and Deployment Level: Advanced Room: 1st Floor Auditorium
3:00 p.m.	Andrew Montalenti (CTO, Parse.ly) Rapid Data Visualization, from Python to Browser Level: Novice Room: 2807/2808	Jake Vanderplas Efficient Computing with NumPy Level: Intermediate Room: 1st Floor Auditorium
4:30 p.m.	Break Room: 28th Floor and 1st Floor Auditorium
4:45 p.m.	Julia Evans A practical introduction to IPython Notebook & pandas Level: Novice Room: 2807/2808	Yves Hilpisch Performance Python Level: Advanced Room: 1st Floor Auditorium

Schedule for Nov. 9, 2013

Time	Track 1	Track 2
8:00 a.m.	Registration & Breakfast Room: 28th Floor
9:00 a.m.	Welcome Room: 60th Floor MDR
9:10 a.m.	Peter Wang Continuum Analytics Python's Role in the Future of Data Analysis Room: 60th Floor MDR
10:15 a.m.	Sarah Guido (University of Michigan School of Information) A Beginner’s Guide to Machine Learning with Scikit-Learn Level: Novice Room: 1st Floor Auditorium	Martin Laprise (Parse.ly) Probabilistic Data Structures for Realtime Analytics Level: Intermediate Room: 2807/2808
11:05 a.m.	Dan Blanchard (Educational Testing Service) DataViz Showdown: a comparison of different data visualisation libraries Level: Novice Room: 1st Floor Auditorium	Olivier Pomel (Datadog) Python @ Datadog: Building High-Volume Data Systems in the Python Ecosystem Level: Advanced Room: 2807/2808
11:50 a.m.	Lunch Room: 28th Floor and 1st Floor Auditorium
12:55 p.m.	Chris Colbert (JP Morgan ) K-means Clustering with Scikit-Learn Level: Intermediate Room: 1st Floor Auditorium	Thomas Wiecki (Quantopian & Brown University) Bayesian Data Analysis with PyMC3 Level: Intermediate Room: 2807/2808
1:45 p.m.	Avishek Panigrahi (Xilinx) Generators Will Free Your Mind Level: Novice Room: 1st Floor Auditorium	Allen Grimm Churn Prediction With Graphical Models Level: Intermediate Room: 2807/2808
2:25 p.m.	Break & Snacks Room: 28th Floor and 1st Floor Auditorium
2:45 p.m.	James Powell (NYC Python) Generator Showcase Showdown Level: Advanced Room: 1st Floor Auditorium	Kelsey Jordahl (Enthought, Inc.) GeoPandas: Geospatial Data in Python Made Easy Level: Intermediate Room: 2807/2808
3:35 p.m.	Wes McKinney (DataPad) Practical Medium Data Analytics with Python Room: 1st Floor Auditorium	Erik Bernhardsson (Spotify) Building Data Pipelines with Python and Luigi Level: Intermediate Room: 2807/2808
4:25 p.m.	Panel Discussion Scaling Python Across Hardware & Organizations Room: 60th Floor MDR

Schedule for Nov. 10, 2013

Time	Track 1	Track 2	Workshops
8:00 a.m.	Job Fair & Breakfast Room: 28th/29th - Main Floor
9:30 a.m.	Brian Granger Cal Poly State University, IPython Functional Performance with Core Data Structures Room: 60th Floor MDR
10:45 a.m.	Ian Huston (Pivotal) , Srivatsan Ramanujam (Pivotal) Python Powered Data Science at Pivotal Level: Intermediate Room: 1st Floor Auditorium	James Powell (NYC Python) Embeddings of Python Level: Advanced Room: 2807/2808	Ben Lerner (DataNitro) Data Engineering 101: Building your First Data Product Level: Novice Room: 2908/2909
11:35 a.m.	Bryan Lewis (Paradigm4) , Jake Vanderplas (University of Washington) Python as Part of a Production Machine Learning Stack Room: 1st Floor Auditorium	Daniel Krasner (Johnson Research Labs) Rapid Development and High Performance Text Processing Level: Intermediate Room: 2807/2808	Emily Chen Working with Hadoop from Python Level: Novice Room: 2908/2909
12:15 p.m.	Lunch Room: 28th Floor and 1st Floor Auditorium
1:20 p.m.	Alex Rubinsteyn (NYU) Python on the GPU with Parakeet Level: Intermediate Room: 1st Floor Auditorium	Imran Haque (Counsyl) Beyond the dict: Python Tools to Wrangle Data From CSV Up Level: Intermediate Room: 2807/2808	Daniel Krasner (Johnson Research Labs) House Prices and Rents: Evidence from a Matched Dataset in Central London Level: Intermediate Room: 2908/2909
2:10 p.m.	Victor Jakubiuk (DataNitro) Excel and IPython Room: 1st Floor Auditorium	Matthew Trentacoste ( Adobe) Image Features in Python Level: Intermediate Room: 2807/2808	Paddy Mullen (Continuum Analytics) Bokeh Workshop Level: Intermediate Room: 2908/2909
2:50 p.m.	Break & Snacks Room: 28th Floor and 1st Floor Auditorium
3:10 p.m.	Trent Nelson (Continuum Analytics) PyParallel: How we Removed the GIL and Exploited all Cores (Without Needing to Remove the GIL at all) Level: Advanced Room: 1st Floor Auditorium	Joshua Horowitz (TechLawNY) An Intro to FOSS Licenses and Copyrights in Data and Software Room: 2807/2808	Paddy Mullen (Continuum Analytics) A practical introduction to Pandas with Citibike Data Level: Intermediate Room: 2908/2909
4:00 p.m.	Lightning Talks Room: 1st Floor Auditorium
5:00 p.m.	Closing Remarks