PyData London - 67th meetup

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!

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.

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Code of Conduct:
This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. For reporting guidelines or to submit a report, please follow the above link. For any questions or concerns regarding the Code of Conduct, please get in touch with the organisers.

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

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Main Talks
The Entropy of Alice in Wonderland — Pete Bleackley

This talk will demonstrate the information theory based keyword extraction algorithm proposed by Montemurro and Zanette by using it to analyse the text of "Alice's Adventures in Wonderland".

Sharing Python Code as No Code Solutions — Paolo Tamagnini

Python devs and data scientists are used to producing libraries to share internally with their organisation or externally to the Python open-source community. Those libraries are hardly adopted however by analysts and engineers who are not versed in Python. This talk will show how any Python library can be packaged and shared to no-code users of KNIME Analytics Platform, a free and open source desktop tool! KNIME users can then drag and drop the library functions via colourful blocks, called nodes, and build data pipelines, called workflows, without any coding knowledge. A simple use case on computing geographical distances will be used to show how this is possible!

Lightning Talks

1. Intro to git hooks. Automating Python formatting in git. — Tambe Tabitha Achere
2. Scoring sustainability in the news — Bruce Pannaman

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.