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UID:pretalx-pyconde-pydata-2026-V8DNCL@pretalx.com
DTSTART;TZID=CET:20260415T101500
DTEND;TZID=CET:20260415T104500
DESCRIPTION:Weather and environmental data power analytics\, ML\, and opera
 tions—but APIs differ wildly and data prep is slow. Wetterdienst is a Py
 thon library that provides a unified\, Polars‑first interface to multipl
 e weather services (DWD\, ECCC\, EA\, NOAA/NWS\, Geosphere Austria\, IMGW\
 , Eaufrance\, WSV\, and more). It standardizes request patterns\, returns 
 tidy (long) data\, converts to SI units\, handles caching\, timezones (UTC
  by default)\, and retries—so teams can focus on analysis instead of plu
 mbing. This talk introduces Wetterdienst’s provider architecture\, core 
 request patterns\, performance practices with Polars\, and how to integrat
 e via Python\, CLI\, or its REST API. We’ll walk through real examples (
 station discovery\, parameter selection\, timeseries retrieval)\, exportin
 g to databases\, and patterns for robust pipelines in ETL and ML.
DTSTAMP:20260523T180009Z
LOCATION:Titanium [2nd Floor]
SUMMARY:Wetterdienst: Fast\, Unified Access to Open Weather Data with Polar
 s - Benjamin
URL:https://pretalx.com/pyconde-pydata-2026/talk/V8DNCL/
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