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UID:pretalx-pyconde-pydata-2024-LNFSDV@pretalx.com
DTSTART;TZID=CET:20240423T163500
DTEND;TZID=CET:20240423T170500
DESCRIPTION:Time series analysis is ubiquitous in applied data science beca
 use of the value it delivers. In order to do effective time series analysi
 s\, you need to know your tools well. Polars has excellent built-in time s
 eries support\, and it's also possible to extend it where necessary.\n\nWe
  will talk about:\n- Basic built-in time series operations with Polars (e.
 g. "what's the average number of sales per month?").\n- numba/numpy/scipy 
 interoperability for not-so-basic time series operations (e.g. non-linear 
 interpolation\, or cumulative operations).\n- Advanced\, custom time serie
 s operations\, and how you can implement them as Polars plugins (e.g. busi
 ness day arithmetic).\n\nBasic interest and knowledge of Python and data w
 ill be assumed\, but no prior Polars experience is required.\n\nAnyone wor
 king with time series and/or dataframes will likely benefit from the talk.
DTSTAMP:20260722T082906Z
LOCATION:B05-B06
SUMMARY:Polars and Time Series: what it can do\, and how to overcome any li
 mitation - Marco Gorelli
URL:https://pretalx.com/pyconde-pydata-2024/talk/LNFSDV/
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