High-Performance Data Workflows with Python and DuckDB [PyData x MotherDuck]
Details
🚨 Important: Please read before registering
🚀 Limited spots — please register early via Luma
👉 Registration is handled exclusively through Luma.
Meetup is for visibility only — RSVPs here will not be counted.
👉 Register here for the schedule and event details:
https://luma.com/motherduck-pydata
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## 🔹 About the Event
Join us for an evening of data engineering and analytics with PyData Seattle, hosted at MotherDuck!
This event focuses on high-performance data workflows with Python and DuckDB, featuring real-world use cases, practical insights, and live demos.
Whether you're a data engineer, data scientist, analyst, or simply interested in modern data tools, this session will provide valuable insights into working efficiently with large datasets.
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## 🔹 What to Expect
- Technical talks on DuckDB and modern data workflows
- Real-world use cases and live demos
- Interactive Q&A with speakers
- Networking with the Seattle data community
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## 🎤 Speakers
Jacob Matson (Developer Advocate, MotherDuck)
Processing CSV and JSON in DuckDB — how fast can we do 1B rows?
Pierre Brunelle (CEO, Pixeltable)
Topic: TBA
Arif Rahman (Founder & CTO, pg-warehouse)
Introducing pg-warehouse — a local-first data warehouse at scale
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## 📍 Location
MotherDuck Seattle Office
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## 🕒 Event Time
👉 5:30 PM – 8:30 PM
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## 💡 Who Should Attend
- Data engineers, data scientists, analysts
- Python developers working with data
- Anyone interested in DuckDB, analytics, or modern data stacks
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PyData Seattle is a volunteer-run community dedicated to bringing together data practitioners to learn, share, and connect.
We look forward to seeing you there!