Conference Schedule

View past PyData event schedules here.

icons represent local speakers.

Tutorial Sessions — Sunday Oct. 21, 2018

	Fertitta Hall, Room LL105	Fertitta Hall, Room LL125	Popovich Hall, Room 110
8:00 AM	Breakfast & Registration
9:00 AM	Learning to Scale Data Science, Machine Learning, and Pandas with Ray and Modin Devin Petersohn	When Rotten Tomatoes Isn’t Enough: Analyzing Twitter Movie Reviews Using DataStax Enterprise Amanda K Moran	Introduction to Data Manipulation and Visualizations in R David Sung 🌴
10:30 AM	Break
11:00 AM	Network Science, Game of Thrones and US Airports Mridul Seth	A Hands-On Application of Causal Methods in Python Abi Aryan 🌴	Tips, Tricks and Topics in Text Analysis Bhargav Srinivasa Desikan
12:30 PM	Lunch
1:30 PM	Docker for Data Science: Reproducibility and Deployment Hareem Naveed	Applying Statistical Modeling and Machine Learning to Perform Time-Series Forecasting Tamara Louie	Testing with Pytest for Data Science Ravin Kumar 🌴
3:00 PM	Coffee Break
3:30 PM	CatBoost - The New Generation of Gradient Boosting Vasily Ershov	An Introduction to Julia Jane Herriman 🌴	Making Computation Easier with Cool Numpy Tricks Kirit Thadaka
5:00 PM

General Sessions — Monday Oct. 22, 2018

	The Trojan Ballroom / ML	The Franklin Suite, 3rd Floor / Technical	The Forum, 4th Floor / NLP
8:00 AM	Breakfast & Registration
9:00 AM	Opening Notes
9:15 AM	Keynote #1: Building a Player-Focused Data Team at Riot Games Andrea Trevino 🌴
10:00 AM	Break
10:15 AM	Time, Interrupted: Measuring Intervention Effects with Interrupted Time-Series Analysis Ben Cohen	Serverless for Data Scientists Mike Lee Williams 🌴	Data Mining JIRA Tickets to Gain Insights into Organizational Behavior Wendy Grus
11:00 AM	Break
11:15 AM	1D Convolutional Neural Networks for Time Series Modeling Nathan Janos 🌴, Jeff Roach	Developing Dashboard Applications Using Bokeh Bryan Van de Ven	Why You Should Do Text Analysis in Python (Even if You Don't Want to) Bhargav Srinivasa Desikan
12:00 PM	Lunch
1:00 PM	(Deep) Learn You a Neural Net for Great Good! Stu (Michael Stewart)	JupyterLab: The Evolution of the Jupyter Notebook Ian Rose 🌴, Grant Nestor	Accelerating Data Science with RAPIDS Mike Wendt
1:45 PM	Break
2:00 PM	Hot Water Leak Detection Using Variational Autoencoder Model Jay Kim 🌴	Iodide and Pyodide: Bringing Data Science Computation to the Web Browser Michael Droettboom, Brendan Colloran, Hamilton Ulmer	Extracting Structured Data from Legal Documents Zack Witten
2:45 PM	Coffee & Sponsor Break
3:15 PM	Attacking Clustered Data with a Mixed Effects Random Forests Model in Python Sourav Dey	Help! I Just Inherited 50,000 Lines of Code! What Do I Do? — A Practical Guide James Powell	Detecting Signed and Unsigned Documents with Deep Learning - Beyond Transfer Learning Jordan Bramble
4:00 PM	Break
4:15 PM	Keynote #2 - Tensorly: A Flexible Python Framework for Machine Learning Anima Anandkumar 🌴
5:00 PM	Lightning Talks
5:45 PM

General Sessions — Tuesday Oct. 23, 2018

	The Trojan Ballroom / ML	The Franklin Suite, 3rd Floor / Technical	The Forum, 4th Floor / Case Studies
8:00 AM	Breakfast & Registration
9:00 AM	Opening Notes
9:15 AM	Building an Open Platform for Sustaining Data Science Innovation: A Tour of NumFOCUS Projects Andy Terrel
10:00 AM	Break
10:15 AM	Measuring Model Fairness Stephen Hoover	StaticFrame: An Immutable Alternative to Pandas Christopher Ariza 🌴	Python at City Scale Hunter Owens 🌴
11:00 AM	Break
11:15 AM	Customer Lifetime Value: Models, Metrics and a Multitude of Uses Brian Bloniarz	What's the Science in Data Science? Skipper Seabold	Building a Visualizer in Yellowbrick Nathan Danielsen 🌴
12:00 PM	Lunch
1:00 PM	Big Problems at the Heart of Machine Learning Abi Aryan 🌴	Deploy and Use a Multiframework Distributed Deep Learning Platform on Kubernetes ANIMESH SINGH, Tommy Li	Using Data to Get Your Next Raise Michelle Brenner 🌴
1:45 PM	Break
2:00 PM	Using Simpson’s Paradox to Discover Interesting Patterns in Behavioral Data Nazanin Alipourfard 🌴, Peter Fennell	Extending Pandas with Custom Types Will Ayd 🌴	Train, Evaluate, Repeat: Building a Credit Card Fraud Detection System Leela Senthil Nathan
2:45 PM	Coffee Break
2:55 PM	Lightning Talks
3:15 PM	Keynote #4: What is a Data Desk? Ben Welsh 🌴
4:00 PM	Break
4:10 PM	Keynote #5: The New Science of Cause and Effect Judea Pearl 🌴
4:55 PM	Closing Notes
5:05 PM

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