PyData Berlin 2025 November Meetup
Details
Welcome to the PyData Berlin November meetup!
We would like to welcome you all starting from 18:30. There will be food and drinks. The talks begin around 19.30 and the doors will close at 19:30. Make sure to arrive on time!
Please provide your first and last name for the registration because this is required for the venue's entry policy. If you cannot attend, please cancel your spot so others are able to join as the space is limited.
Host: Ecosia is excited to welcome you to this month's version of PyData.
Entrance is in Hof 4 - there will be signs - then up to the 3rd floor of the building.
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The Lineup for the evening
Talk 1: The Zen of Claude Code
Abstract: This talk traces the evolution of AI agents from the ambitious but complex AutoGPT experiment in 2023, through Cursor's gradual "autonomy slider" approach (2023-2025), to the elegant simplicity of Claude Code in 2025. The presentation argues that we've moved from highly complex systems with multiple agents, embeddings, and cloud infrastructure that, while groundbreaking, often struggled with basic tasks, to "The Zen of Claude Code": a simple terminal-based agent that achieves excellent performance by embracing the bitter lesson.
Speaker: Vlad Gheorghe
Bio: Vlad is an AI Engineer based in Berlin who builds production AI systems and teaches others to do the same. He's currently building SceneMind.ai, a suite of AI tools for movie producers. His YouTube course on SQL has 338k views, and he's created several open-source MCP servers including PDF Agent MCP. Previously, he scaled data platforms at Delivery Hero and other Berlin companies, processing billions of records daily. He's fascinated by the evolution of AI agents and believes the best tools are often the simplest ones.
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Talk 2: Functional Reproducibility
Abstract: Have you ever written the perfect data analysis?
Has it still run unchanged 6 months later?
Can your colleagues run it without you?
Just because your analysis is executable, it doesn’t mean the results are reproducible.
Data ages.
Libraries change.
Machines differ.
Servers go down.
Bits rot.
Entropy is inescapable.
We can learn how to engineer reproducibility by drawing on techniques from functional programming and the MLOps movement.
Speaker: Robin Gower
Bio: Robin is freelance data scientist, software engineer and economic analyst. He helps teams build products that let people take decisions with data.
When he's not deleting notebooks, Robin can be found digging in the garden or down in the cellar brewing ale.
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Lightning talks
There will be slots for 2-3 Lightning Talks (3-5 Minutes for each).
Kindly let us know if you would like to present something at the start of the meetup :)
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