PyData London - 65th meetup
Details
Venue: 1 Angel Lane, EC4R 3AB
Please 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!
- All attendees will be expected to wear face masks (preferably FFP2) while in the venue.
- This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.
Tickets are assigned on a first come first serve basis for this event.
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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About Masks:
We wish to create an inclusive and safe environment for all of our community. We will be constantly assessing the situation regarding COVID-19 and our policy may change in future meetups.
About 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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Talks
- "Why you should go to EuroPython" — Cheuk Ho
- "How to create a dataset of 10 million records to platform load testing quickish" — Conor O'Dwyer
- "What is a coding dojo & why you should join one" — Tom Viner
- "Easily run your Python code in the cloud" — Kurt Schelfthout
- "How To Organise a PyData Conference" — Prashant Tiwari
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.
COVID-19 safety measures
Sponsors
PyData London - 65th meetup