Lighting talk: Local MCP servers for your Local coding Agents (Cursor, Claude, Codex etc) - Prashant Tiwari MCP systems are distributed and can get out of sync if multiple agents are working at once. Using a shared MCP server simplifies management and helps manage shared resources.

Lighting talk: Understanding Embedding Space: Surprises, Pitfalls, and Intuition - Alper Nebi Kanlı

Lightning talk: Amusingly Abliterated LLMs - Ian Ozsvald Even if you ask it to be rude, LLMs will tell derivative dad jokes. Can we make an LLM tell good jokes if we remove the guardrails? It’s definitely rude, but also more original.

Our first talk is Productionising research papers with Python and serverless infrastructure - Chess commentary generation use case @guillaumealla.in

Excited to kick off our 102nd PyData meetup! Jiarui is compering us tonight and as ever we’re hosted by the kind folks at Man AHL.

1. And finally we have a lightning talk on USearch: The Engine Behind Most New Search & RAG Pipelines - Ash Vardanian USearch might be the most widely used search engine you’ve never heard of, up there with FAISS and Lucene. It even supports semantic search and geospatial indexing!

Our first lightning talk is Mise and easy: managing environments the fun way - Connor Adams. Environment management is very messy across languages. Mise can make your life much easier!

Next tonight we’re hearing about No More Boilerplate: Data-Driven Testing Made Easy from @feregri.no

Starting tonight’s meet up with @geirfreysson.bsky.social Using Hugging Face's smolagents framework to create a Fantasy Premier League AI Agent. His main motivation was to beat his brother at FPL!

Our next meetup is on Tuesday (4 November) and as ever the waiting list is building.... If you can't make it, we'd be very grateful if you could unRSVP and let someone on the waitlist take your spot. But otherwise see you there for amazing talks and conversations! www.meetup.com/pydata-londo...

Yeah, back at the PyData meetups!

I'm talking about building AI agents at PyData London. Very much looking forward to this!

It's nearly that time again! Join us on Tue 4 Nov for the 101st PyData London meetup. Using Hugging Face's smolagents framework to create a Fantasy Premier League AI Agent - @geirfreysson.bsky.social No More Boilerplate: Data-Driven Testing Made Easy - @feregri.no www.meetup.com/pydata-londo...

Up next: @hevansdev.bsky.social Answering a dumb question with a smart bird feeder. Is this robin abnormally large?

Now hearing HangMAN vs AI - Kavit Tolia Learnings building a custom transformer to play hangman.

Next up Why Python is the best language for algorithmic trading from @richardhickling.bsky.social

Now hearing from Victor Zommers on his experiments getting LLMs to play Go. They were not good, not only losing to KataGo but also Wally, developed in 1981 with just 7 rules.

Next up we have Sam Joseph LLMs can tell jokes, but they’re pretty bad. Sam found he can breed better jokes using ideas from evolutionary computing—with pretty decent results!

Our first talk tonight is from PyDatalondon founder @ianozsvald.bsky.social on his playgroup: a collaborative space to explore really difficult but interesting problems together like ARC AGI, diagnosing bugs agenically and making LLMs funny.

It’s finally time! 🥳 PyData London 100 is here! 💯

It’s nearly time for our 100th Meetup! 🥳 Looking forward to a full roster of lightning talks, reflections from organisers past and present (including many of the OG crew!) and of course well-deserved celebrations--maybe even with cake! 🎂

Python: The Documentary | An origin story What began as a side project in the 1990s now powers AI, data science and some of the world's biggest companies. But Python almost disappeared at one point. Featuring Guido van Rossum, Travis Oliphant, Barry Warsaw, and many more! youtu.be/GfH4QL4VqJ0?...

Skrub: machine-learning with dataframes Presentation at @pydatalondon.bsky.social, discussing how skrub facilitates data transformations & wrangling on dataframes for machine learning and introducing the exciting "DataOps" to tune and re-apply any wrangling code speakerdeck.com/gaelvaroquau...

Last but definitely not least we have Ruby Waller on Apprenticeships in Data: a practical pathway into the profession.

Our first lightning talk from Imamuddin Shaik on Reliable Agents: Context Engineering, Roles, and What 1M-Token Windows Don’t Fix.

Next up we have Craig West on Breaking the Black Box — evaluating AI agents!

Our first talk tonight is from @gaelvaroquaux.bsky.social on @skrub-data.bsky.social. Real tables are too messy for sklearn - skrub preprocesses them for you.

Excited to kick off PyData London 99 with an amazing lineup tonight!

PyData London 2025 keynote: Tony Mears -- Innovation is Dead Innovation gets stifled in the public sector by risk aversion and punishment for failure. But there is hope: Tony shares a way forward, drawing on his experience directing operations in the NHS and UK Space Agency. youtu.be/XMLbJYM46xo

Join us at the 99th PyData London Meetup — with a talk from a genuine PyData celebrity! 🤩 Tue 2 September 19:00 Skrub: machine-learning with dataframes — @gaelvaroquaux.bsky.social Model Context Protocol: is refactoring tool calls worth your time? — Victor Zommers meetu.ps/e/Pt20x/5p7c...

Finally tonight our second lighting talk: The future of Python Notebooks - Rahul Ayyappan Notebooks are ubiquitous but have limitations like hidden state (which cells have we run???). We can improve on this with new tools like Marimo.

Our first lightning talk tonight is Continuous Prompt Evaluation and Optimisation in Production - Anand Rawat Have a good CICD flow for your prompts similar to software. Prompt evaluation is about more than just tokens.

Next up tonight is Yash Sakhuja with Fuzzy, Not Fussy: Using AI to Tackle Data Entity Resolution at Scale Messy customer data — typos, inconsistent formats, and duplicates — can make it surprisingly difficult to answer basic questions, such as “How many unique customers do we have?”

Our first talk tonight is from @datancoff.ee on How to prepare your AI Agents for the Ice(berg) Age. LLMs are extremely powerful, but their data is often old and they hallucinate. We can largely solve that using agents with tools.

Kicking off PyData London 98 tonight with close to a full house! And a special guest MC—thanks Adam!

Final call to submit your PyData Global 2025 proposal! If you’ve got a great idea for a talk or tutorial you’ll love to share with the community, submit before 28 July. pydata.org/global2025/c...

👨‍🎓🧾✨#icml2025 Paper: TabICL, A Tabular Foundation Model for In-Context Learning on Large Data With Jingang Qu, @dholzmueller.bsky.social, and Marine Le Morvan TL;DR: a well-designed architecture and pretraining gives best tabular learner, and more scalable On top, it's 100% open source 1/9

Join us for the PyData London 98th Meetup! Come and hear all about How to prepare your AI Agents for the Ice(berg) Age - @datancoff.ee Fuzzy, Not Fussy: Using AI to Tackle Data Entity Resolution at Scale - Yash Sakhuja meetu.ps/e/PmX9X/5p7c...

🎢 When the Q&A goes off-script 🤣 🇯🇵 Japanese math rock, 🅿️ porpoises and unfortunate aliases, and 🎤 Taylor Swift: 🥈All of these unexpectedly came up in this fun session, which is currently the 2nd most viewed of the conference 🙏 Thanks @pydatalondon.bsky.social for inviting me!

Finally tonight a lightning talk from Rhea Menonca on Dark Data: The Untapped Resource That Could Transform Industries 80% of data is unstructured and unused! It’s a potential goldmine of new insights, but we need to handle it responsibly.

Next a Lightning talk from Nawaf Alageel! Wasted Compute: Why GPU Utilization Is Slipping Through the Cracks Docker and Nvidia’s tools don’t work well together, but this solution lets you know which container needs which GPU, massively increasing observability for his team.

Now up Code Reviewing ChatGPT by Peter Bleackley Pete tries vibe coding the Viterbi algorithm with (at best) mixed results. But LLMs are much better at producing routine code. Creative coding is still a challenge.

Tonight’s PyData Meetup starting in a very hot London! Aman Adukoorie – Predicting Rainfall: LSTM Applications in Time Series Forecasting

🌀 𝐅𝐨𝐨𝐭𝐛𝐚𝐥𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐭 𝐏𝐲𝐃𝐚𝐭𝐚 𝐋𝐨𝐧𝐝𝐨𝐧 My @pydatalondon.bsky.social talk on Graph Neural Networks applied to Football has just been uploaded to YouTube, go check it out! www.youtube.com/watch?v=PUXU...

The recording of our tutorial from PyData London 2025 on GPU Accelerated Python with CUDA is now up on YouTube 🎉 www.youtube.com/watch?v=UnNw... @pydatalondon.bsky.social #python #programming #tutorial #gpu #pydata

Quick reminder: if you've reserved a place at our next monthly meetup (Tue 1 July at 19:00) but can't make it, please free up your spot so someone else can attend. But otherwise look forward to seeing you there—it's going to be another great one! www.meetup.com/pydata-londo...

The first PyData London 2025 videos are out! To start on a high, here's @fonnesbeck.bsky.social conference tutorial on Bayesian Time Series Analysis Gain confidence in tackling real-world forecasting problems. Subscribe on YouTube to learn when the next batch drops! youtu.be/2cfZsTLcDV0

Check out my latest newsletter including the final day of ML books humble bundle & my reflections on @pydatalondon.bsky.social! kaparker.substack.com/p/data-insig...

Join us for the 97th PyData Meetup, Tue 1 July at 19:00! Predicting Rainfall: LSTM Applications in Time Series Forecasting - Aman Adukoorie Code Reviewing ChatGPT - Peter Bleackley Dark Data: Untapped Resource That Could Transform Industries - Rhea Menonca [⚡️] www.meetup.com/pydata-londo...

🌀 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐅𝐨𝐨𝐭𝐛𝐚𝐥𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 @ 𝐏𝐲𝐃𝐚𝐭𝐚 𝐋𝐨𝐧𝐝𝐨𝐧 𝟐𝟎𝟐𝟓 On Saturday I presented a Graph Neural Network Expected Possession Value model at @pydatalondon.bsky.social 2025. This 𝐆𝐫𝐚𝐩𝐡𝐄𝐏𝐕 model is an ML approach that predicts scoring probability for any moment in the game 🔗 tinyurl.com/pydata-ldn25