What we’re about
Anybody that appreciates the PyData/NumFOCUS mission - Bringing the world of open source data science & scientific users together! - is greatly appreciated to join our meetup group and if you can and want, also help out in some way to make our meetups happen and great!
We wish to have interesting talks in a friendly and informal setting with snacks/food and beer, so that people have a reason to stay and get to know each other.
Also, we aim to be an accessible, community-driven meetup (and eventually conference), with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Please contact us if you can provide a room, interesting talks, food, drinks, or alike. You or whom you are associated with could also become an official sponsor (with a little banner, link, and mention during meetups) of our group!
To centrally, efficiently, and transparently manage suggestions, current tasks/problems, and just in general the continuous organization/milestones of individual meetups as well as the overall group, we have a GitHub repo.
PYDATA
PyData brings together both users and developers of data analysis tools to share ideas and learn from each other. The goals are to provide data science enthusiasts, across various domains, a place to discuss how best to apply languages and tools to the challenges of data management, processing, analytics, and visualization. We are focused around the Python ecosystem, but are also open to other languages and relevant topics that may help to better solve the evolving challenges in data management, processing, analytics, and visualization.
PyData groups, events, and conferences aim to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.
CODE OF CONDUCT & EVENTUAL COMPLAINTS
The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer: Titus von Koeller (+41 79 722 40 63; titus@vonkoeller.com) or NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org).
Upcoming events (2)
See all- PyData Zurich: Rust in ML & Polars validationPause im Foifi, Zurich
Talk #1: Rust in the data science and machine learning stack
The Python ecosystem has seen the emergence of several high-profile tools and libraries developed with the Rust programming language, including the ruff linter/formatter, the uv package/project manager, the polars dataframe library, the pydantic data validation library, and HuggingFace's tokenizers.
This talk will explore the role that Rust can play in the data science and machine learning stack, through case studies, high-level considerations, and practical examples. It will include a concise introduction to the language and techniques for integrating it with Python.
We aim to give attendees the tools to understand when it makes sense to reach for Rust, particularly in the context of data-intensive applications, and how to do so effectively.
Talk #2: Dataframely — A declarative, polars-native data frame validation library
In this talk, we will talk about the motivation behind building dataframely in more detail and lead the audience through its key features. We will also touch upon our learnings in developing robust data pipelines that establish clear contracts for the design of data transformations. In our experience, this significantly improves communication among developers and comprehensibility of the entire pipeline.
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The event is kindly hosted and sponsored by Galaxus. The talks will be followed by informal drinks.
- Network event322 attendees from 135 groups hostingPyData London 2025Needs location
Get ready to unleash your inner data aficionado at PyData London 2025, happening June 6-8 at Convene Sancroft, St. Paul’s! This three-day, in-person event is your golden ticket to dive into live keynotes, talks, and lightning sessions alongside fellow data enthusiasts.
Have an idea you want to share? Submit your talk proposal by Feb. 24. Tickets sold out in 2024, so don’t wait—grab yours today! Buy Here
Past events (28)
See all- Network event114 attendees from 131 groups hostingPyData Virginia 2025This event has passed
