PyData Seattle: A Glimpse into the Future of Data Science
Get ready, data enthusiasts! PyData Seattle, hosted by NumFocus at the Microsoft Campus in Redmond Washington, is set to be a game-changer. This premier event, spanning three days from April 26-28, offers an inspiring and educational opportunity for data scientists, researchers, engineers, and users to mingle, exchange ideas, and collaborate on cutting-edge data science projects. With a jam-packed schedule filled with talks, workshops, and networking events, PyData Seattle promises to be a transformative experience.
Day 1: Laying the Foundation
The first day kicks off with a series of hands-on workshops to help attendees gain essential skills in data manipulation and machine learning. From building interactive network graphs with Lucas Durand to learning about automated machine learning with FLAML, there’s something for everyone.
After a brief break, Jim Hibbard introduces Delta Lake for creating reliable open-lakehouses, while Kevin Kho and Anthony Holten demonstrate how to port existing Python and Pandas code to Spark, Dask, and Ray with Fugue.
Day one wraps up with a panel discussion on "Building a Stronger Open Source Python Data Community: Trends, Gaps, and Collaborative Contributions," featuring an impressive lineup of industry experts like Hamel Husain, Stefan Krawczyk, Katrina Riehl, Juanita Gomez, and Zander Matheson.
Day 2: Exploring New Horizons
The second day is filled with a wide array of stimulating talks and workshops focused on enhancing your data science skills. Don’t miss the keynote address by Katrina Riehl on "Scientific Computing and the Gateway to Open Source."
Dive into Federo Garza Ramirez‘s lecture on "Quantifying Uncertainty in Time Series Forecasting with Conformal Prediction" and learn about scaling Altair visualizations with VegaFusion from Jon Mease.
The day closes with a must-attend keynote by Holden Karau on "Distributed Computing 4 Kids—with Spark (and guest appearances from Ray and Dask)."
Data Science, Applied Mathematics, Computer Science, Applied Science
Data Institute at the University of San Francisco
March 12th-14th, 2023
Day 3: The Finale
On the final day, gear up for an exciting keynote speech by Travis Oliphant, followed by an engaging talk by Nate Stemen on "Growing the Open Source Quantum Ecosystem."
Sessions covering topics like ML model observability pipelines, scaling data workloads with pandas and Spark, and the importance of synthetic data in data-centric AI promise to leave you feeling energized and ready to tackle any data challenge.
Don’t miss the last keynote of the event, presented by Peter Wang, and make sure to stick around for the Lightning Talk sessions featuring incredible speakers sharing their insights in a fast-paced format.
The clock is ticking, and the excitement is building. So, mark your calendars and register now for your chance to connect with some of the brightest minds in data science at the next PyData event. The future awaits!
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