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PyData London

@pydatalondon.bsky.social

470 followers 270 following 140 posts

https://london.pydata.org We run a monthly meetup and host the annual PyData London conference. PyData is an educational program of NumFOCUS, helping our community share ideas and learn from each other. https://www.meetup.com/PyData-London-Meetup/

london.pydata.org

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PyData London @pydatalondon.bsky.social · 1d

Up next: @hevansdev.bsky.social Answering a dumb question with a smart bird feeder.

Is this robin abnormally large?

PyData London @pydatalondon.bsky.social · 1d

Now hearing HangMAN vs AI - Kavit Tolia

Learnings building a custom transformer to play hangman.

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PyData London @pydatalondon.bsky.social · 1d

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

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PyData London @pydatalondon.bsky.social · 1d

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.

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PyData London @pydatalondon.bsky.social · 1d

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!

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PyData London @pydatalondon.bsky.social · 1d

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.

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PyData London @pydatalondon.bsky.social · 1d

From small beginnings to great things! @emlynclay.bsky.social tells us the history of PyData London.

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PyData London @pydatalondon.bsky.social · 1d

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

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PyData London @pydatalondon.bsky.social · 2d

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! 🎂

PyData Global @pydata.bsky.social · 3d

Our PyData London Meetup chapter is about to celebrate its 100th meetup tomorrow! 💯

We’re beyond proud to see how far our community has come, and can’t wait to hear all about this milestone event! Congrats to our fabulous PyData London Meetup chapter! 🥳

PyData London - 100th Meetup, Tue, Oct 7, 2025, 7:00 PM | Meetup

**Venue**: Riverbank House, 2 Swan Ln, London EC4R 3AD **Please note**: 1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨 2. This event follows the **[Nu

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PyData London @pydatalondon.bsky.social · 29d

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?...

Python: The Documentary | An origin story

YouTube video by CultRepo

youtu.be

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PyData London @pydatalondon.bsky.social · 29d

Craig's slides on breaking blackbox evals for AI agents

github.com/Python-Test-...

github.com

PyData London @pydatalondon.bsky.social · Sep 5

Slides for Imamuddin Shaik's talk on context engineering.

www.canva.com/design/DAGxx...

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www.canva.com

PyData London @pydatalondon.bsky.social · Sep 3

Thanks for sharing!

Reposted by PyData London

Gaël Varoquaux @gaelvaroquaux.bsky.social · Sep 3

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...

Skrub: machine-learning with dataframes

While data-science talks a lot about machine learning, much of the work is preparing and assembling dataframes. Such work is very manual. Here I introdu…

speakerdeck.com

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PyData London @pydatalondon.bsky.social · Sep 3

You don’t need a degree to get into data science: apprenticeships are also great.

And there are many benefits. Empowered and loyal, apprentices drive plenty of fresh thinking with real world impact: 87% of employers say apprentices boost team innovation.

PyData London @pydatalondon.bsky.social · Sep 2

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

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PyData London @pydatalondon.bsky.social · Sep 2

There are many unresolved problems with agents.

Context engineering helps. Designing the entire informational environment not just the prompt so the model can "plausibly" complete the task.

PyData London @pydatalondon.bsky.social · Sep 2

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

PyData London @pydatalondon.bsky.social · Sep 2

One surprisingly effective way to evaluate outputs is using an LLM as a judge.

Observability is key. Focus on process not tools.

PyData London @pydatalondon.bsky.social · Sep 2

Why use evals?

Ensure TRUST and CAPABILITIES of our AGENTS so that somebody will pay for them.

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PyData London @pydatalondon.bsky.social · Sep 2

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

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PyData London @pydatalondon.bsky.social · Sep 2

It looks like a date frame, but Skrub stores the whole transformation pipeline in the magic skb attribute!

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PyData London @pydatalondon.bsky.social · Sep 2

@skrub-data.bsky.social DataOps lets you wrap your pandas (or other!) data wrangling code as sklearn transforms that can now be transferred to production.

And we can also cross validate and optimise our data wrangling!

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PyData London @pydatalondon.bsky.social · Sep 2

@skrub-data.bsky.social’s text encoders find latent categories for you. It has several different text encoders depending on accuracy / fit time trade off you want. Or it will choose the best for you!

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PyData London @pydatalondon.bsky.social · Sep 2

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.

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