About us
PyData Prague aims to unite data analysts, engineers, scientists, and others involved in the usage, developments, and support of open source technologies in the area of scientific computation. These include pandas, numpy, IPython, R, matplotlib, Julia, Jupyter, and other related projects.
We ultimately aim to organise meetups as well as conferences, we want to provide a platform for spreading the ideas revolving around open technologies that help us in day to day work, be it commercial, non-profit, or educational.
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If you have any questions, don't hesitate to contact me, Ondrej, at ondrej.kokes@gmail.com. We're open to all sorts of topics, so feel free to suggest what you want to discuss or present yourself.
There's a Czech Python Slack where we have a channel intended for PyData organisational purposes. Ping me an email if you want to be a part of this, we welcome support in all shapes and forms.
In case you want to keep track via Facebook, you can join this group - https://www.facebook.com/groups/pydataprague
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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.
The PyData Code of Conduct (http://pydata.org/code-of-conduct.html) 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 local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS: https://numfocus.typeform.com/to/ynjGdT. Thank you for helping us to maintain a welcoming and friendly PyData community!
Upcoming events
1
PyData Prague #33 - The Root of All Eval
Pure Storage, Rohanské nábř. 661/5, Rohanský ostrov, Hlavní město Praha, CZHello Python magicians and A.I. operators!
The 33rd Prague PyData meetup will take place at Pure Storage offices. As usual, the talks will start at 18:30 but we encourage you to come as soon as 18:00 to enjoy the opportunity to socialize and refresh yourselves (which you can continue doing during the break and after the talks). Note that this time we will want you to sign a non-disclosure agreement (NDA) when entering (only to protect the Pure Storage hardware in development; the talks themselves are public of course!)
Our main goal is to build the community around Python and data and make it welcoming to people of various skills and experience levels.
⚡ If you are interested in giving a lightning talk (up to 5 minutes to present an idea, tool or results related at least to some degree to Python and/or data), please contact us before the event or at its beginning.
📢 Evals, Benchmarks, and Guardrails: A Pythonista's Guide to Not Mixing Them Up
(Šimon Podhajský, Waypoint)"I'll just write pytest tests for my LLM"—but should you? This talk untangles benchmarks, evals, and guardrails: three concepts that sound similar but map to different Python patterns. Learn why pytest CAN work for evals (with the right mindset), why guardrails aren't tests at all, and a grounded theory approach to defining what "good" actually means for your task.
📢 Orchestration Beyond the Schedule: Real-Time Integrations with Prefect
(Ondřej Hlaváč, Pure Storage)As Python data workflows grow in complexity, relying on simple scripts and cron jobs often leads to "silent failures" and a lack of visibility. Enter Prefect—a modern orchestration framework that empowers developers to build, observe, and manage robust pipelines using standard Python code. While Prefect is rapidly gaining traction for scheduled batch processing, we took a different path: using it to power real-time event integrations for Master Data Management.
In this talk, I will introduce what makes Prefect unique compared to legacy tools and demonstrate how we adapted it to handle immediate, event-driven flows. We will explore how its built-in resilience
capabilities—like automatic retries, state management, and detailed observability—can be repurposed to make real-time integrations as reliable as nightly ETL jobs.83 attendees
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