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.

We will talk about:

  • 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.

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.

PRESENTED BY:

Marco Gorelli

Marco Gorelli
Sr. Software Engineer
Quansight Labs

Marco is a core developer of pandas and Polars and the author of Narwhals. He works at Quansight Labs as Sr. Software Engineer contributing to open source, consulting on building business solutions with open source technology, and providing training on it. Notably, Marco wrote the first Polars Plugins Tutorial and now teaches on this topic and everything related to Polars to audiences worldwide.

Marco holds a MSc in Mathematics from the University of Oxford.

LinkedIn
GitHub: @MarcoGorelli

Inessa Pawson

Inessa Pawson
OSPO Manager
OpenTeams

Inessa is Open Source Program Manager at OpenTeams, leading initiatives focused on widening the contributor pipeline and bringing funding to more open source projects (e.g., REPOS https://repos.openteams.com). She is an active open source contributor and organizer primarily in the Python ecosystem (NumPy, PyOpenSci, PyCon US Maintainers Summit, and more).

Before joining the open source movement, she spent nearly two decades developing digital products as a full-stack developer, a data-driven UX researcher, and a product lead. 

LinkedIn 
GitHub: @inessapawson

 
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