Past Meetup

PyData London 43rd meetup

This Meetup is past

250 people went

Location image of event venue

Details

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NOTE: a valid photo ID is required by building security. Please use your full real names when signing up, otherwise you may be refused entry!

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As always, there'll be free beer and pizza, generously provided by our host AHL.

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.

Talks:

Roma Klapaukh on "Snails by numbers"

The are numerous different kinds of snails in an amazing variety of shapes and sizes. Due to their variety and distribution, understanding the history of snails helps us understand the history of the land and oceans. We use a mixture of rock saws, synchrotron light sources, and statistics to find a method of mathematically expressing the shape of snails in the hopes of uncovering more of their evolutionary history.

Lightning Talks:

Robin Meehan on "Initial experiences with AWS Sagemaker"

A quick run through of what python notebook code is required to train Random Forest or Tensorflow models using AWS’s latest “machine learning-as-a-service” offering, plus some data on training and prediction run-times.

Ian Ozsvald on "pandas_profiling"
Kickstart your exploratory data analysis with pandas_profiling

Steve Holden on "Teach Me JupyterLab"
Steve reveals his almost total ignorance about JupyterLab while trying to synthesise the best of the knowledge that the audience has. Somewhat along the lines of the previous talk from PyCon2008 "Teach me Twisted" (http://catherinedevlin.blogspot.co.uk/2008/03/teach-me-twisted.html)

---------------------More talks to be listed soon.---------------------

Logistics:

Doors open at 6.30 (get there early as you have to sign-in via AHL's security), talks start at 7 pm, beers 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 (https://twitter.com/pydatalondon) for updates and early announcements. See you on the 6th!