Tutorials — July 24, 2015

	Rainier	Cascade	Helens	Baker
08:00AM	Registration and Breakfast ----
09:00AM	Keynote: Computer Science: America's Untapped Opportunity Hadi Partovi
10:00AM	Machine Learning with Scikit-Learn Jake VanderPlas	Python for Data Science: A Rapid On-ramp Primer Joe McCarthy	Simplified statistics through simulation Justin Bozonier	PySnpTools: A New Open-Source Library for Reading and Manipulating Matrix Data (including Genomics) Carl Kadie
12:00PM	Lunch ----
01:00PM	Scalable Pipelines w/ Luigi or: I’ll have the Data Engineering, hold the Java! Jonathan Dinu	Pandas: .head() to .tail() Tom Augspurger	Beautiful Interactive Visualizations in the Browser with Bokeh Bryan Van de Ven	A brief introduction to Distributed Computing with PySpark Holden Karau
03:00PM	Break and Snacks ----
03:20PM	Dask: out-of-core arrays with task scheduling Matthew Rocklin	Using Python for Linguistic Data Analysis Rutu Mulkar-Mehta	Learn to Build an App to Find Similar Images using Deep Learning Piotr Teterwak	Real-Time Change Detection on Streaming Data (Sponsor Tutorial) Cody Rioux
05:20PM

General Sessions — July 25, 2015

	Kodiak	Helens/ Rainier	Hood/ Baker	Cascade
08:00AM	Registration and Breakfast ----
09:00AM	Keynote: Clouded Intelligence Joseph Sirosh
09:50AM	Sparkling Pandas - Letting Pandas Roam on Spark DataFrames Holden Karau	Building TaxBrain: Numba-enabled Financial Computing on the Web T.J. Alumbaugh	Investigating User Experience with Natural Language Analysis Stephanie Kim	Accelerate data analytics and Python performance with Intel® software (Sponsor Talk) Sergey Maidanov
10:40AM	Memex: Mining the Dark Web Katrina Riehl	Who needs users? Just simulate them! Chris Harland	The past, present, and future of Jupyter and IPython Jonathan Frederic	Mixed-language Python/C++ debugging with Python Tools for Visual Studio (Sponsor Talk) Pavel Minaev
11:30AM	Saving Lives with Data: Python and Global Health Kyle Foreman	From DataFrames to Interactive Web Applications in 10 minutes Adam Hajari	An Intuitive Introduction to the Fourier Transform and FFT William Cox	Anaconda Cluster Use Case (Sponsor Talk) Peter Steinberg
12:10PM	Lunch ----
01:05PM	Keynote: Computation at the edges Van Lindberg
01:50PM	Straight, White Males Should Advocate for Diversity Tony Wieczorek	What's coming in Python 3.5 (and why you should be excited) Steve Dower	Deep Learning with Python: getting started and getting from ideas to insights in minutes Alex Korbonits	SFrame and SGraph: Scalable External Memory Data Frame and Graph Structures for Machine Learning Jay (Haijie) Gu
02:40PM	Testing for Data Scientists Trey Causey	Trend Estimation in Time Series Signals Bugra Akyildiz	When is it good to be bad? How do hockey penalties affect the outcome of the game? Wendy Grus	Using Python and Azure Machine Learning (Sponsor Talk) Chris Wilcox
03:30PM	Break and Snacks ----
03:45PM	Panel /Group Discussion: “Using, contributing to, and integrating open source" ----	Accelerating the Random Forest algorithm for commodity parallel hardware Mark Seligman	Supernova Cosmology with python Rahul Biswas	Brains & Brawn: the Logic and Implementation of a Redesigned Advertising Marketplace (Sponsor Talk) Stephanie Tzeng, Sal Rinchiera
04:35PM	Blaze and Odo Phillip Cloud	Hack the Derivative Erik Taubeneck	Learning Data Science Using Functional Python Joel Grus	University of Washington eScience Institute (Sponsor Talk) Jake VanderPlas
05:25PM	Building a JIT for Python Dino Viehland	Democratizing Data Science Benjamin Mako Hill, Tommy Guy	Swarm Intelligence Optimization using Python James McCaffrey	Jupyter for Education: Beyond Gutenberg and Erasmus Paco Nathan
06:05PM

General Sessions — July 26, 2015

	Kodiak	Helens/ Rainier	Hood/ Baker	Cascade
08:00AM	Breakfast ----
09:00AM	Keynote: Data-driven Education and the Quantified Student Lorena Barba
10:00AM	Counterfactual evaluation of machine learning models Michael Manapat	Integration with the Vernacular James Powell	Big Data Analytics - The Best of the Worst : AntiPatterns & Antidotes Krishna Sankar	State of the Library: matplotlib Thomas Caswell
10:50AM	Python Data Bikeshed Rob Story	Bot or Not Erin Shellman	Low Friction NLP with Gensim Trent Hauck	Bokeh Dashboard Capability Use Case/Demo (Sponsor Talk) Casey Clements
11:40AM	The Possibilities Of Plotting With pandas and IPython Matthew Sundquist	High-Throughput Processing of Space Debris Data Andreas Schreiber	Numba: Flexible analytics written in Python with machine-code speeds and avoiding the GIL. Travis Oliphant	Jupyter Notebooks and ML Model Operationalization (Sponsor Talk) Dino Viehland, Raymond Laghaeian
12:20PM	Lunch ----
01:20PM	Keynote: A Systems View of Machine Learning Josh Bloom
02:15PM	NLP and text analytics at scale with PySpark and notebooks Paco Nathan	An example of Predictive Analytics: Building a Recommendation Engine using Python Anusua Trivedi	Statistical learning of human brain structure Ariel Rokem	Open Space ----
02:55PM	Break and Snacks ----
03:10PM	Pandas Under The Hood: Peeking behind the scenes of a high performance data analysis library Jeffrey Tratner	Bayesian inference with PyMC 3 John Salvatier	Sequoia: Point Cloud Processing and Meshing Mark Wiebe	Creating an intelligent world at Dato.(Sponsor Talk) Shawn Scully
04:00PM	Mistakes I've Made Cameron Davidson-Pilon	Why "data-informed" beats "data-driven. Greg Reda	Social Media Brand Positioning Workflow David Gerson	Top 5 uses of Redis as a Database Dave Nielsen
04:50PM	Lightning Talks ----
05:30PM