8:00 AM |
Breakfast & Registration
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9:00 AM |
Keynote (McKinley & Livestream in Cascade)
Katrina Riehl
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10:00 AM |
Scalable Data Science in Python and R on Apache Spark
Felix Cheung
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Using Scattertext and the Python NLP Ecosystem for Text Visualization
Jason Kessler
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Provenance for Reproducible Data Science
Andreas Schreiber
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Monitoring Displacement Crises with Python: A Humanitarian Project by Data for Democracy
George Richardson
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10:45 AM |
Designing for Guidance in Machine Learning
Olivia Gunton
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Automatic Citation generation with Natural Language Processing
Claire Kelley, Sarah Kelley
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Practical Optimization for Stats Nerds
Ryan J. O'Neil
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PixieDust - make Jupyter Python Notebooks with Apache Spark Faster, Flexible, and Easier to use
Raj Singh
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11:30 AM |
Pandas, Pipelines, and Custom Transformers
Julie Michelman
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Scan Statistics with Spark Streaming: Distribution Based Real Time Anomaly Detection
Michal Monselise
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National Geospatial-Intelligence Agency: Changing the Bureaucrat’s Mind Toward Data-Driven Decisions
Gary Dunow
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Unlocking the power of AI: A fundamentally different approach to building intelligent systems
Keen Browne
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12:15 PM |
Lunch
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1:05 PM |
Keynote (McKinley & Livestream in Cascade)
Jake Vanderplas
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2:05 PM |
Robust Automated Forecasting in Python and R
Pranav Bahl, Jonathan Stacks
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In-database Machine Learning with Python in SQL Server - Sponsor Talk
Sumit Kumar
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How to be a 10x Data Scientist
Stephanie Kim
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Code First, Math Later: Learning Neural Nets Through Implementation and Examples
Kyle Shaffer
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2:50 PM |
Python and IoT: From Chips and Bits to Data Science
Jeff Fischer
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Applying the four-step "Embed, Encode, Attend, Predict" framework to predict document similarity
Sujit Pal
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WorldRowing.com: End To End Data Analysis
Lou Harwood
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How diversity drives excellence in our data-driven tech world
PyData Seattle Diversity Panel
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3:35 PM |
Break/Snacks
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3:50 PM |
Big data processing with Apache Beam
Sourabh Bajaj
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Make it Work, Make it Right, Make it Fast - Debugging and Profiling in Dask
Jim Crist
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Python for .NET or .NET for Python
Denis Akhiyarov, Xavier Dupré
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Moving notebooks into the cloud: challenges and lessons learned
Saranga Komanduri, Lori Eich
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4:35 PM |
Chatbots - Past, Present and Future
Dr. Rutu Mulkar-Mehta
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Of Mice & Python: Building a Brain Observatory for Visual Behavior
Justin Kiggins, Doug Ollerenshaw
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Batch and Streaming Processing in the World of Data Engineering and Data Science
Keira Zhou
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Forecasting Time Series Data at scale with the TICK stack
Nathaniel Cook
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5:20 PM |
PyData "Pub" Quiz! (Kodiak)
Moderated by James Powell
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6:05 PM |
Social Event
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8:05 PM |
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