PyData London - 63nd meetup

PyData London Meetup
PyData London Meetup
Public group


Angel Ln · London

How to find us

Check in with building security in 1 Angel Lane (photo ID required)

Location image of event venue


Venue: 1 Angel Lane, EC4R 3AB

NOTE: 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!

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.



This event follows the NumFOCUS code of conduct, please familiarise yourself with it before the event. Please get in touch with the organizers with any questions or concerns regarding the code of conduct.


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

Main Talks

John Sandall - How To Forecast An Election

Learn about the field of psephology, a division of political science that deals with the examination and statistical analysis of elections and political polling. Psephology and the polling that underlies it are powerful forces in contemporary politics: they shape our political narratives around elections, govern the news cycle and act as powerful social proof of a campaign’s success or failure.

As trust in polling declines and as technology begins to unlock new sources of political information, we ask what is the future of this discipline and how will it affect campaigning? How do psephologists build predictive models for results and turnout? What kind of models, approaches, and data do psephologists currently use? Can new approaches be developed using data science techniques that are emerging from different sectors?

Ben Byford - Making Ethical AI projects

A brief tour of some of the considerations you should be making when creating ML/AL services. I'll talk through why you might want to consider the Ethical impact of your work, what you can do and what an Ethical project might look like.

Lightning Talks

Pav Andriychenko - pythonjobs - community-drive jobs platform

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 normally have >200 folks in the room so there's plenty of people to discuss data science questions with!

Please unRSVP in good time if you realize 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 ( for updates and early announcements.