Polars and Time Series: What It Can Do, What It Can’t (Yet!), and What You Can Do About It

Time series analysis is ubiquitous in applied data science because of the value it delivers. In order to do effective time series analysis, you need to know your tools well. Polars has excellent built-in time series support, and it's also possible to extend it where necessary.

In this talk, we will cover:

--> Basic built-in time series operations with Polars (e.g. "what's the average number of sales per month?").
--> Advanced, custom time series operations, and how you can implement them as Polars plugins (e.g. business day arithmetic).
--> What Polars can't (yet!) do, and what we can do about it.

Audience level:
Basic interest and knowledge of Python and data will be assumed, but no prior Polars experience is required.

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This event is hosted by OpenTeams (https://www.openteams.com), the sponsor of REPOS, a platform that promotes sustainable funding for open source projects. To learn more, visit https://repos.openteams.com.