Part of PyData - 159 groups

PyData London Meetup

London, GB

15,441 members · Public group

Organized by NumFOCUS, Inc. and 15 others

What we’re about

london.pydata.org
Submit a talk: https://london.pydata.org/submit-a-talk/

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org) or the group organizer.

Upcoming events (1)

See all

Tue, Jul 1, 2025, 7:00 PM BSTPyData London - 97th Meetup
EC4R 3AD, London
Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD

Please note:

🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨

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

Main Talks

1. Predicting Rainfall: LSTM Applications in Time Series Forecasting - Aman Adukoorie

This talk will introduce LSTM networks as a robust alternative to traditional statistical forecasting models. Using historical rainfall data from India, I will walk through an LSTM model trained for time series forecasting. After evaluating the model, I show how that outperforms traditional statistical models.

2. Code Reviewing ChatGPT - Peter Bleackley

There's a lot of hype about "Vibe Coding" at the moment, but how well can Large Language Models actually write code. I have set ChatGPT the task of writing a Word Sense Disambiguation system using the Viterbi algorithm, and reviewed its results.

⚡ Lightning Talks

1. TBC

2. Dark Data: The Untapped Resource That Could Transform Industries - Rhea Menonca

While companies and institutions rely heavily on the data they can easily access and analyze, a significant portion of valuable data remains untapped, often overlooked due to the complexity or sheer volume of information. I’ll present real-world examples from industries like healthcare, finance, and education, where dark data is beginning to unlock groundbreaking insights.

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.
181 attendees+176