**Code of Conduct** This event follows the [NumFOCUS Code of Conduct](https://numfocus.org/code-of-conduct). Please get in touch with the organizers with any questions or concerns. **Details** Join us for an evening of Python/Data Science related talks and discussion This is a very informal event where we will have a couple of interesting presentations (see details below) with plenty of room for questions. All skill levels are welcome and actively encouraged! Afterwards we'll take a trip to the local pub for anyone that wants to come along. **Presentations** Sam Greenwood (Independent consultant) - **10 years of Data Engineering with Python - Part 2** Sam will follow on from his exposition of how Python became integrated into the Data Engineering landscape. This time extending from the Python/data history review into looking at Data Engineering specifically. Chris Ballard (Justified AI) - **Playing with Trains: How I Keep Up with the AI Agents I Work Wit**h AI agents are now part of most of what I do as a consultant, from building software for clients and running data science experiments through to automating the business processes behind the company. I'm not really handing the work over to them, though. Building the right thing in the right way for a client still takes a lot of close collaboration, and that's where it starts to get difficult. With several pieces of work on the go, the agents produce far more than I can comfortably read, and it's easy to lose track of what's happening, what was decided and why. That's how I ended up playing with trains. Each piece of work now runs as a steam train on a 3D railway, held at a red signal when it needs a decision from me. In this talk I'll demo that setup, using Claude Code agent teams and Paperclip, and share what I've learnt along the way, including a few little experiments that changed how I work with agents, and some early thinking on how to keep track of research in the same way. **Location** Spaces Digital Hub, To

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