PyData 2014 - Silicon Valley

Keynotes

Why Python is Awesome When Working With Data at any Scale by None -- Link to Video
Data Science at Berkeley by None -- Link to Video
Analyzing Satellite Images With Python Scientific Stack by Juan Nunez Iglesias ❓ -- Link to Video

Talks

PyData: Past, Present, Future by Peter Wang (Continuum Analytics) -- Link to Video
A Full Stack Approach to Data Visualization: Terabytes (and Beyond) at Facebook by Jason Sundram (Facebook) -- Link to Video
Conda by Travis Oliphant (Co-Founder & Chief Executive Officer, Continuum Analytics) -- Link to Video
Dark Data: A Data Scientist's Exploration of the Unknown by Rob Witoff (NASA, Y Combinator) -- Link to Video
Generators Will Free Your Mind by James Powell (NYC Python) -- Link to Video
Building an Army of Data Collecting Robots in Python by Freedom Dumlao (ZEFR, Inc.) -- Link to Video
Using Python and Paver to Control a Large Medical Informatics ETL Process by Alex F. Bokov (University of Texas Health Science Center at San Antonio) -- Link to Video
Crushing the head of the snake by Robert Brewer (Crunch.io) -- Link to Video
DataPad: Python-powered Business Intelligence by Wes McKinney (DataPad) -- Link to Video
Sentiment Classification Using scikit-learn by Ryan Rosario (Facebook) -- Link to Video
The IPython protocol, frontends and kernels by Paul Ivanov -- Link to Video
The Reference Model for Disease Progression uses MIST to find data fitness by Jacob Barhak (None) -- Link to Video
Using Python to Find a Bayesian Network Describing Your Data by Bartek Wilczynski (University of Warsaw) -- Link to Video
Up and Down the Python Data and Web Visualization Stack by Rob Story (DataPad) -- Link to Video
Introducing xray: extended arrays for scientific datasets by Stephan Hoyer (The Climate Corporation) -- Link to Video
Data Analysis with SciDB-Py by Chris Beaumont (Harvard Center for Astrophysics) -- Link to Video
PyAlgoViz: Python Algorithm Visualization in the Browser by Chris Laffra (Google) -- Link to Video
IPython: what's new, what's cool, and what's coming by Min Ragan-Kelley (IPython, UC Berkeley) -- Link to Video
Speed without drag by Saul Diez-Guerra (Ampush) -- Link to Video
How to Spy with Python by Lynn Root (Spotify, PyLadies) -- Link to Video
Pythran: Static Compiler for High Performance by Mehdi Amini -- Link to Video
Functional Performance with Core Data Structures by Matthew Rocklin (Continuum Analytics) -- Link to Video
Real-time streams and logs with Storm and Kafka by Andrew Montalenti (CTO, Parse.ly) -- Link to Video
Ad Targeting at Yelp by Daniel Yao (Yelp) -- Link to Video
Ferry - Share and Deploy Big Data Applications with Docker by James Horey (OpenCore.io) -- Link to Video
How to build a SQL-based data warehouse for 100+ billion rows in Python by Ville Tuulos (AdRoll) -- Link to Video
Data Engineering 101: Building your First Data Product by Jonathan Dinu (Zipfian Academy) -- Link to Video
SociaLite: Python-integrated query language for big data analysis by Jiwon Seo (Stanford) -- Link to Video
Outlier Detection in Time Series Signals by Bugra Akyildiz (CB Insights) -- Link to Video
Python as Part of a Production Machine Learning Stack by Michael Manapat (Stripe) -- Link to Video
Querying your Database in Natural Language by Daniel Moisset (Machinalis) -- Link to Video
Dataswarm by Mike Starr (Facebook) -- Link to Video

Tutorials

IPython Interactive Widgets by Brian Granger (Cal Poly State University, IPython) -- Link to Video Part 1, Link to Video Part 2, Link to Video Part 3
Bokeh by Bryan Van De Ven (Continuum Analytics) -- Link to Video
Map Reduce: 0-60 in 80 Minutes by Christopher Roach (Linkedin) -- Link to Video
Gradient Boosted Regression Trees in scikit-learn by Peter Prettenhofer (DataRobot, scikit-learn) -- Link to Video
ggplot for python by Greg Lamp (Yhat) -- Link to Video
Designing and Deploying Online Experiments with PlanOut by Eytan Bakshy (Facebook) -- Link to Video
Know Thy Neighbor: An Introduction to Scikit-learn and K-NN by Portia Burton (PLB Analytics, ) -- Link to Video
Hustle: a column oriented, distributed event database by Tim Spurway (Chango) -- Link to Video
K-means Clustering with Scikit-Learn by Sarah Guido (Reonomy) -- Link to Video