PyData London - 76th meetup

Venue: 1 Angel Lane, EC4R 3AB

Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. You MUST use your full real names on your meetup profile, otherwise, you will NOT make it on the guest list! 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

Tickets are assigned through a lottery draw about 1 week before the event.

If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in.

If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list.

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Code of Conduct:
This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. 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
1️⃣ Code AI: Reimagining Software Development with Generative Models - Paige Bailey
Paige Bailey is a Lead Product Manager for Generative Models at Google DeepMind. Prior to returning to the DeepMind team, Paige spent just over a year at Microsoft as Director of Machine Learning and MLOps at GitHub, working on projects like GitHub Codespaces and Copilot. As a former applied ML engineer (in Azure Research, Chevron, and on NASA projects), Paige can’t imagine a more exciting charter than accelerating developer productivity with machine learning, and unlocking the capabilities of these models for users.

2️⃣ Web Scraping Your Government with Python - Antonio Feregrino
Learn how to create an automated web scraper using Python and GitHub Actions.

Lightning Talks ⚡
⚡1️⃣ GenAI in AWS - George Drakos
⚡2️⃣ Generating music videos using Stable Diffusion - Gavin Francis
⚡3️⃣ Open-Source, Community Innovation, and A.I. - Peter Wang

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.