PyData London Meetup

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.

If you can no longer make it, please unRSVP as soon as you know.

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Code of Conduct:
This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.

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As always, there'll be free food & drinks, generously provided by our host, Man Group.

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Main Talks

Microsoft Fabric for Python Data Developers - Barry Smart
Fabric is a major new development from Microsoft where Python is treated as a first class citizen. This talk will provide an overview of Microsoft Fabric through the lens of a Python Data developer, with demos showing how Python can be used to build cloud native, enterprise grade data pipelines on the platform. It will also touch on concepts such as lakehouse, data mesh, medallion architecture and star schemas - all fundamental building blocks of a modern cloud native data architecture.

Desert Island Docker: Python Edition - Andrew Collier
What 3 Docker images would you choose if you were shipwrecked on a desert island? Choosing the right images will determine whether you are rescued or end up in a cannibals' cooking pot (Python images will make you particularly unpalatable).

Docker is an essential tool for survival as a Python developer, regardless of whether you are stranded or not. In this talk I'll describe three Python Docker images that I consider essential for survival on a desert island. I'll demonstrate how to set up and build a custom image. And finally I'll demonstrate how using a Docker image can simplify CI/CD and deployment.

⚡ Lightning Talks
1️⃣ Why You Should Be Afraid of Pickles - Rikard Anglerud

2️⃣ ASCII Art with Python - Hugh Evans

Logistics
Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with!

Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!

Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.