PyData 2014 | Silicon Valley | May 2 - 4

Conference Schedule

Day 1
Tutorials

Day 2
Talks

Day 3
Talks

Schedule for Friday, May 02, 2014

Time	Beginner/Intermediate Tutorials	Intermediate/Advanced Tutorials
8:00 a.m. - 9:00 a.m.	Registration
9:00 a.m. - 12:00 p.m.	Brian Granger (Cal Poly State University, IPython) , Jonathan Frederic (IPython) IPython Interactive Widgets Level: Intermediate Room: Son of Ping & Pong	Bryan Van De Ven (Continuum Analytics) Bokeh Level: Intermediate Room: Move Fast Be Open
12:00 p.m. - 1:00 p.m.	Lunch
1:00 p.m. - 2:20 p.m.	Christopher Roach (Linkedin) Map Reduce: 0-60 in 80 Minutes Level: Novice Room: Son of Ping & Pong	Peter Prettenhofer (DataRobot, scikit-learn) Gradient Boosted Regression Trees in scikit-learn Level: Intermediate Room: Move Fast Be Open
2:30 p.m. - 3:50 p.m.	Greg Lamp (Yhat) ggplot for python Level: Novice Room: Son of Ping & Pong	Eytan Bakshy (Facebook) Designing and Deploying Online Experiments with PlanOut Room: Move Fast Be Open
3:50 p.m. - 4:05 p.m.	Break & Snacks
4:05 p.m. - 4:45 p.m.	Portia Burton (PLB Analytics, ) Know Thy Neighbor: An Introduction to Scikit-learn and K-NN Level: Novice Room: Son of Ping & Pong	Tim Spurway (Chango) Hustle: a column oriented, distributed event database Level: Novice Room: Move Fast Be Open
4:50 p.m. - 5:30 p.m.	Sarah Guido (Reonomy) K-means Clustering with Scikit-Learn Level: Intermediate Room: Son of Ping & Pong

Schedule for Saturday, May 03, 2014

Time	Beginner/Intermediate Talks	Intermediate/Advanced Talks
8:00 a.m. - 9:00 a.m.	Registration
9:00 a.m. - 9:05 a.m.	Guy Bayes (Facebook) Welcome to PyData at Facebook! Room: Living the Dream
9:05 a.m. - 10:00 a.m.	Burc Arpat Facebook Why Python is Awesome When Working With Data at any Scale Room: Living the Dream
10:10 a.m. - 10:50 a.m.	Jason Sundram (Facebook) A Full Stack Approach to Data Visualization: Terabytes (and Beyond) at Facebook Room: Son of Ping & Pong	Travis Oliphant (Co-Founder & CEO, Continuum Analytics) Conda Level: Intermediate Room: Living the Dream
11:00 a.m. - 11:40 a.m.	Rob Witoff (NASA, Y Combinator) Dark Data: A Data Scientist's Exploration of the Unknown Level: Intermediate Room: Son of Ping & Pong	James Powell (NYC Python) Generators Will Free Your Mind Level: Experienced Room: Living the Dream
11:40 a.m. - 12:40 p.m.	Lunch
12:40 p.m. - 1:20 p.m.	Freedom Dumlao (ZEFR, Inc.) Building an Army of Data Collecting Robots in Python Level: Novice Room: Son of Ping & Pong	Alex F. Bokov (University of Texas Health Science Center at San Antonio) , Dan Connolly (University of Kansas Medical Center) Using Python and Paver to Control a Large Medical Informatics ETL Process Level: Intermediate Room: Son of Ping & Pong
1:30 p.m. - 2:10 p.m.	Robert Brewer (Crunch.io) Crushing the head of the snake Level: Novice Room: Son of Ping & Pong	Wes McKinney (DataPad) DataPad: Python-powered Business Intelligence Level: Intermediate Room: Living the Dream
2:20 p.m. - 3:00 p.m.	Ryan Rosario (Facebook) Sentiment Classification Using scikit-learn Level: All Room: Son of Ping & Pong	Paul Ivanov , Thomas Kluyver (UC Berkeley) The IPython protocol, frontends and kernels Level: Intermediate Room: Living the Dream
3:00 p.m. - 3:20 p.m.	Break & Snacks
3:20 p.m. - 4:00 p.m.	Jacob Barhak (None) The Reference Model for Disease Progression uses MIST to find data fitness Level: Intermediate Room: Son of Ping & Pong	Bartek Wilczynski (University of Warsaw) Using Python to Find a Bayesian Network Describing Your Data Level: Intermediate Room: Living the Dream
4:10 p.m. - 4:50 p.m.	Rob Story (DataPad) Up and Down the Python Data and Web Visualization Stack Level: Novice Room: Son of Ping & Pong	Stephan Hoyer (The Climate Corporation) Introducing xray: extended arrays for scientific datasets Level: Intermediate Room: Living the Dream
5:00 p.m. - 6:00 p.m.	Chris Beaumont (Harvard Center for Astrophysics) Data Analysis with SciDB-Py Level: Intermediate Room: Son of Ping & Pong	Chris Laffra (Google) PyAlgoViz: Python Algorithm Visualization in the Browser Level: Intermediate Room: Living the Dream

Schedule for Sunday, May 04, 2014

Time	Beginner/Intermediate Talks	Intermediate/Advanced Talks	Sponsor Talks
8:00 a.m. - 9:00 a.m.	Job Fair & Breakfast
9:00 a.m. - 9:40 a.m.	Min Ragan-Kelley (IPython, UC Berkeley) IPython: what's new, what's cool, and what's coming Level: Intermediate Room: Son of Ping & Pong	Saul Diez-Guerra (Ampush) Speed without drag Level: Novice Room: Living the Dream	No Scheduled Talks
9:50 a.m. - 10:30 a.m.	Lynn Root (Spotify, PyLadies) How to Spy with Python Level: Novice Room: Son of Ping & Pong	Mehdi Amini Pythran: Static Compiler for High Performance Level: 2 Room: Living the Dream	No Scheduled Talks
10:40 a.m. - 11:40 a.m.	Joshua Bloom UC Berkeley Data Science at Berkeley Level: Novice Room: Living the Dream
11:40 a.m. - 12:30 p.m.	Lunch
12:30 p.m. - 1:10 p.m.	Matthew Rocklin (Continuum Analytics) Functional Performance with Core Data Structures Level: Intermediate Room: Son of Ping & Pong	Andrew Montalenti (CTO, Parse.ly) , Keith Bourgoin (Backend Lead, Parse.ly) Real-time streams and logs with Storm and Kafka Level: Intermediate Room: Living the Dream	Daniel Yao (Yelp) Ad Targeting at Yelp Room: Nux
1:20 p.m. - 2:00 p.m.	James Horey (OpenCore.io) Ferry - Share and Deploy Big Data Applications with Docker Level: Intermediate Room: Son of Ping & Pong	Ville Tuulos (AdRoll) How to build a SQL-based data warehouse for 100+ billion rows in Python Level: Advanced Room: Living the Dream	Jonathan Dinu (Zipfian Academy) Data Engineering 101: Building your First Data Product Level: Novice Room: Nux
2:10 p.m. - 2:50 p.m.	Jiwon Seo (Stanford) SociaLite: Python-integrated query language for big data analysis Level: Novice Room: Son of Ping & Pong	Bugra Akyildiz (Axial) Outlier Detection in Time Series Signals Level: Intermediate Room: Living the Dream	Michael Manapat (Stripe) Python as Part of a Production Machine Learning Stack Level: 1 Room: Nux
2:50 p.m. - 3:10 p.m.	Break & Snacks
3:10 p.m. - 3:50 p.m.	Daniel Moisset (Machinalis) Querying your Database in Natural Language Level: Novice Room: Son of Ping & Pong	Mike Starr (Facebook) Dataswarm Room: Living the Dream	Analyzing Satellite Images With Python Scientific Stack Room: Nux
4:00 p.m. - 5:00 p.m.	Peter Wang Continuum Analytics Level: Intermediate Room: Living the Dream
5:00 p.m. - 6:00 p.m.	Lightning Talks