PyData London - 57th Meetup
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.
Dani Papamaximou on "Seismic analyses using python for civil engineering applications"
I am developing a python module to calculate the depth of the competent material below train tracks to accommodate high Rayleigh wave velocities. This module is using site investigation data and through a series of processes calculates the optimum thickness of the competent strata below the track of the train. This enables the contractor to have an early estimate of the imported material needed or inform the operating authority on the optimum speed of the train using a maintenance cost- profit analysis.
Peter Bleackley on "The Grammar of Truth and Lies - Using NLP to detect fake news"
I present a simple classifier that uses grammatical and stylistic features to distinguish between fake news and reliable sources with 90% accuracy.
Tariq Rashid on "d3fdgraph: interactive force-directed graphs in Jupyter"
Python has many options for data visualisation, including in the Jupyter notebook. However there didn't seem to be a simple one for visualising graphs of related data. Tariq decided to write his own package which is now available via pip, and works on google's colab notebook too. He'll briefly share how easy it is to write plugins that work in the notebook and demonstrate how easy it is to use d3fdgraph. https://github.com/intuitivetextmining/d3fdgraph
Cheuk Ho on "PyCon Namibia summary"
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.