Gábor Szárnyas – DuckDB: The Power of a Data Warehouse in your Python Process

Gábor Szárnyas, a Developer Relations Advocate and Technical Writer at DuckDB Labs, provides a talk on “DuckDB: The Power of a Data Warehouse in your Python Process.”

DuckDB is an in-process analytical database management system, a powerful data warehouse engine running inside the Python process without any setup or communication overhead.

It is an open-source and highly portable system available as a command line tool with R, NodeJS, and Julia clients;
– which loads data from many formats, such as CSV and Parquet, as well as pandas data frames,
-its speed and features allow it to tackle a remarkable number of use cases in data science – including data wrangling and running complex ad-hoc SQL queries – while running on a laptop.
—
www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps