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
Basic interest and knowledge of Python and data will be assumed, but no prior Polars experience is required.
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.
SPEAKER BIOS
Inessa Pawson
Inessa is the 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: https://www.linkedin.com/in/ipawson
GitHub: www.github.com/inessapawson
Marco Gorelli
Marco is a Core Developer of pandas and Polars and the author of Narwhals. He works at Quansight Labs as a Sr. Software Engineer contributing to open source, consulting on building business solutions with open source technology, and providing training. Notably, Marco wrote the first Polars Plugins Tutorial and now teaches this topic, and everything related to Polars, to audiences worldwide.
Marco holds an MSc in Mathematics from the University of Oxford.
LInkedIn: https://www.linkedin.com/in/marcogorelli
GitHub: www.github.com/marcogorelli
