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 initially. Waitlist places are assigned manually. We can only admit you if you use your full real names on your meetup profile.
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.
CODE OF CONDUCT: https://numfocus.org/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.
As always, there'll be free food & drinks, generously provided by our host, Man.
We are issuing tickets via a lottery - if you want to be in with a chance of a place - sign up for the waitlist! The lottery will be run approx 1 week before the meetup, and we will re-run the lottery to fill any spaces that free up or use the waitlist towards the time of the event.
Isambard Poulson on “A Startup Journey”
A talk on how we went through our early stages with data scaling in Python, warts and all
Emma Gordon on "WRITING CODE? PFFT... EVOLVE IT INSTEAD!"
We’re heading into a future of delivery drones, driverless cars and 3D-printed “hoverboards” … With machines now able to perform many tasks better than humans, some people are going to be out of a job. But not software developers, right?! Could a computer generate the code you currently write for a living?
In this talk, we’ll take a look at one of the many biologically inspired approaches to AI - Genetic Algorithms, and how they can be used to generate code given a description of the function that that code should perform.
Spoiler - you’re probably not out of a job, yet…
Taylor Brownlow on Count
Doors open at 6.30pm (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 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.