PyData London - 86th Meetup

Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD -
IMPORTANT: LOCATION UPDATED!
Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.

If you can no longer make it, please unRSVP as soon as you know.

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Code of Conduct:
This event follows the NumFOCUS Code of Conduct. 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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Main Talks

NLP and generative models for psychology research - Thomas Wood

I will present our work on Harmony, harmonydata.ac.uk, which is a free online tool that uses generative AI and LLMs to help psychologists analyse datasets. It uses Python, Pandas and HuggingFace Sentence Transformers to find similarities between questionnaires.
Psychologists and social scientists often have to match items in different questionnaires, such as "I often feel anxious" and "Feeling nervous, anxious or afraid".
This is called harmonisation.
Harmonisation is a time consuming and subjective process.
Going through long PDFs of questionnaires and putting the questions into Excel is no fun.
We've been working on an open source Python library and free web tool called Harmony which uses natural language processing and generative AI models to help researchers harmonise questionnaire items, even in different languages.
https://pypi.org/project/harmonydata/
https://github.com/harmonydata/harmony

Homomorphic Encryption in Python - Sefik Ilkin Serengil
Sefik Ilkin Serengil
Sefik Ilkin Serengil (@serengil) on X

Discover the power of homomorphic encryption in Python with a focus on secure cloud computing. Learn how calculations on encrypted data can be performed in the cloud without exposing the private key. We'll showcase LightPHE, a lightweight Python library that supports various homomorphic encryption schemes, and walk through an end-to-end example. Uncover the practical applications of homomorphic encryption and its potential to transform data privacy in the cloud.

⚡ Lightning Talks
1️⃣ Is Your Open-source LLM Really Open? - Marco Bonzanini

2️⃣ Art with character(s): Make your own ASCII art with Python - Hugh Evans

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.