Today, we begin learning Polars, an alternative data analysis Python library to pandas. We’ll learn about how Polars is similar to and different from pandas and why it is an appealing choice in 2025 for ETL (extract-transform-load) operations.
Data Club, provided by Research Data Services at Columbia University Libraries, offers a series of strategic lessons and a supportive meeting space for members of the Columbia community of all levels to learn, share, and implement the philosophies, tools, and methodologies for a data-driven project of their choosing. In five meetings a semester, the Data Club provides a short instructive session, free-work time, and a collaborative and exploratory environment for researchers to pursue a personal project with the assistance of Columbia University librarians and their data-minded peers.
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