Schedule

Tutorials

Schedule for March 18, 2013

Time Introductory Tutorial Track Advanced Tutorial Track
8:00 a.m.
Registration
9:00 a.m.
Bryan Van De Ven (Continuum Analytics)
Intro to NumPy
Anthony Scopatz (University of Chicago, NumFOCUS)
HDF5 is for Lovers
10:45 a.m.
Wes McKinney
pandas
Min Ragan-Kelley (IPython)
IPython-parallel
12:15 p.m.
Lunch
1:15 p.m.
Mike Mueller (Python Academy)
Beautiful Plots With Matplotlib
Krishna Sankar (Tata Consultancy Services)
Bayesian Machine Learning & Python – Naïve Bayes
3:00 p.m.
Katherine Chuang (Drexel University)
Social Network Analysis
4:30 p.m.
Break & Snacks
4:50 p.m.
Davin Potts (Continuum Analytics)
scikit - image
Jake Vanderplas (University of Washington)
Creating Interactive Applications in Matplotlib

Main Conference

Schedule for March 19, 2013

Time Talk Track 1 Talk Track 2
8:00 a.m.
Registration
9:00 a.m.
Welcome
9:15 a.m.
Peter Norvig
Director of Research, Google
Learning Python
10:15 a.m.
Angelica Pando, Dave Himrod, Steve Kannan (AppNexus)
Python in an Evolving Enterprise System
Christopher Roach
Intro to Network Science
11:05 a.m.
Travis Oliphant (Continuum Analytics)
Blaze
Charles Doutriaux (Lawrence Livermore National Laboratory)
UV-CDAT Resharable Analyses and Diagnostics
11:55 a.m.
Lunch Panel - Contributing to Open Sourced Projects
1:15 p.m.
Gabor Szabo (Twitter)
PyCascading for Intuitive Flow Processing With Hadoop
Prashanth Mundkur (Nokia)
Disco: Not Just MapReduce Any More
2:05 p.m.
Chang She (Lambda Foundry)
Practical Time Series Modeling and Analysis
Henrik Brink (wise.io)
Wise.io: A Machine-Learning Platform
2:55 p.m.
Break & Snacks
3:20 p.m.
Olivier Grisel
Scaling Machine Learning in Python
Andre Karpistsenko (Marinexplore)
Spatio-Temporal Data Platform for the Ocean
4:10 p.m.
Lynn Cherny
Data Visualization With Nodebox
Josh Levy (Vast)
Thin Client Data Science
5:00 p.m.
Lightning Talks

Schedule for March 20, 2013

Time Talk Track 1 Talk Track 2
8:00 a.m.
Registration
9:00 a.m.
Fernando Perez
Research Scientist, UC Berkeley’s Helen Wills Neuroscience Institute/NumFOCUS
IPython: a modern vision of interactive computing
10:00 a.m.
Elias Freider (Spotify)
Luigi - Batch Data Processing in Python
Wes McKinney
Data Wrangling Kung Fu With pandas
10:50 a.m.
Katherine Chuang (Drexel University)
Big Data in Fashion
James Powell
Dataflow Programming Using Generators and Coroutines
11:40 a.m.
Lunch Panel
1:05 p.m.
Thomas Wiecki (Quantopian)
Zipline in the Cloud: Optimizing Financial Trading Algorithms
Ville Tuulos (Bitdeli)
Bitdeli - A Platform for Creating Custom Analytics in Your Browser
1:55 p.m.
Robert Brewer
Building Analytic Database Engines With Python
Dan Gunter, Shreyas Cholia (Lawrence Berkeley National Laboratory)
How Web APIs and Data-centric Tools Power the Materials Project
2:45 p.m.
Break & Snacks
3:10 p.m.
Jason Rudy (Clinicast)
MARS Modeling on the Python Data Stack
Ryan Faulkner (Wikimedia Foundation)
Measuring the New Wikipedia Community
4:00 p.m.
Patrick Wendell (U.C. Berkeley's AMPLab)
Lighting Fast Cluster Computing with PySpark
David Schachter (Disney Interactive)
Escape from the Curse of the Cluster and the Headache of Hadoop: Highly reliable, high performance processing of 'Big Data' on a Single Box with Python.
4:50 p.m.
Closing Remarks
5:00 p.m.
Lightning Talks