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

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.

PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData tech talks.

CREDITS:
PyData YouTube channel: https://www.youtube.com/@PyDataTV

source by Coding Tech

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4 thoughts on “DuckDB: The Power of a Data Warehouse in your Python Process || Gábor Szárnyas

  • This fixes sooooooo many of my daily struggles with dataframes and client/Server based Data exchanges… Love it

  • This is really awesome, I will have to explore more about it

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