Wetterdienst: Fast, Unified Access to Open Weather Data with Polars [PyCon DE & PyData 2026] @PyDataTV
Wetterdienst: Fast, Unified Access to Open Weather Data with Polars [PyCon DE & PyData 2026]  @PyDataTV
Uploaded August 2026 | Updated September 2026, 2 weeks ago
🔊 Recorded at PyCon DE & PyData 2026, 15.04.2026
2026.pycon.de/talks/V8DNCL

🎓 Watch Benjamin Gutzmann demonstrate how to eliminate API complexity and accelerate weather data pipelines using Wetterdienst, a powerful Polars-first library for unified open weather access.

Speakers:
Benjamin

Description:
In this presentation, Benjamin Gutzmann, a Data Engineer at Otto Group data.works, introduces Wetterdienst, a Python library designed to simplify the complex process of accessing open weather data. Because weather and environmental APIs vary wildly in format and structure, data engineers often spend more time on "plumbing" than on actual analysis. Benjamin explains how Wetterdienst solves this by providing a unified, Polars-first interface that standardizes request patterns across multiple global services, including the DWD, NOAA/NWS, and ECCC.

Viewers will learn how the library normalizes inconsistent data into tidy, long-format DataFrames using SI units and UTC timestamps, while implementing robust caching and retry mechanisms to ensure pipeline reliability. Benjamin walks through the provider architecture and demonstrates practical workflows for station discovery, timeseries retrieval, and exporting data to databases. Whether you are building ETL pipelines or training ML models, this talk provides a blueprint for integrating weather data via Python, CLI, or REST API to accelerate your analytics and operations.

⭐️ About PyCon DE:
PyCon DE is the leading conference on open-source Python applications in AI and data science. It brings together industry professionals, researchers, AI and data science practitioners, and software engineering communities, providing a unique platform for collaboration, knowledge sharing, and innovation.

The PyCon DE & PyData 2026 conference delivered an exceptional experience, fostering stronger connections within the Python community while showcasing the latest advancements in artificial intelligence and data science. Attendees enjoyed a diverse and engaging program of talks, workshops, and networking opportunities, further establishing the conference as a premier event for Python, AI, and data science enthusiasts across Germany.

PyCon DE 2027 will take place in Heidelberg from 19 to 23 April 2027.

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Links:
• Conference website: pycon.de
• Other sessions: 2026.pycon.de/talks

The conference was organized by
• Python Softwareverband e.V.: pysv.org
• Pioneers Hub gemeinnützige GmbH: pioneershub.org
in collaboration with NumFOCUS Inc.: numfocus.org


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Acknowledgements:
Special thanks to all the volunteers and sponsors who made this event possible.

About:
Python Softwareverband e.V.:
PySV is a non-profit that promotes the use and development of Python in Germany through events, education, and advocacy, fostering an open Python community.

Pioneers Hub gemeinnützige GmbH:
is a non-profit fostering innovation in AI and tech by connecting experts and promoting knowledge exchange through events and collaborative initiatives.

NumFOCUS Inc.
supports open-source scientific computing by providing financial and logistical support to key projects like NumPy and Jupyter, promoting sustainable development and collaboration.


pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
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Wetterdienst: Fast, Unified Access to Open Weather Data with Polars [PyCon DE & PyData 2026]

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