Dear PyLadies 💚🐍

Our next on-site event is coming on the 20th of May featuring 𓆙 Sarah Abderemane from Kraken and Marie Sacksick from probabl: **.** and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h30 - 18h45 Come and take your seat

18h45 - 19h00 Welcome by PyLadies Paris and Mobiskill Technology

19h00 - 19h45 Accessibility Awareness by Sarah Abderemane

19h45 - 20h30 Extending Scikit-learn using Skore by Marie Sacksick

20h30 - 22h00 Snacks and Networking

🌟 Sarah Abderemane from Kraken Talk Title: Accessibility Awareness Abstract: Accessibility is generally not considered or integrated into the software development process. Awareness of accessibility is needed among developers and beyond, so that it can be integrated in, or at least think better about users’ needs in the process of creating tools or software. This is important because it affects so many folks, far more than people might think. The aim of this talk is to raise awareness through examples and give a few pointers on how to contribute to this effort to make tools and software accessible to all.

About Sarah: Sarah Abderemane is the VP of the Django Software Foundation and a member of the Django Accessibility team. She invests time in community growth and she is tackling climate change at Kraken. She also organizes the Django Paris meetup.

🌟 Marie Sacksick Talk Title: Extending Scikit-learn using Skore Abstract: Scikit-learn has long been the go-to library for predictive modeling, but data science is much more than just training models. In this talk, we’ll explore new tools that enhance the entire machine learning workflow—from data preparation with skrub, to experiment tracking with skore, to production-ready model deployment with skops. Expect demos, insights, and a fresh perspective on how the scikit-learn ecosystem is evolving. About Marie : Marie Sacksick is product engineer at probabl, scikit-learn spinoff, bridging the developer and product team, and bringing data science experience. She is also co-organizer of the meetup Women in Machine Learning and Data Science Paris.

Mobiskill will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Dilane from Mobiskill for all the support.

Important info

1:❗For safety reasons, the venue's staff will check everyone's identity on site. 📝Please remember to bring an ID with you and register for the event with your real name and family name. Thank you!

2: Please be on time. We can’t guarantee a seat once the meetup has started

# 🔍 FAQ

Q. I'm not female, is it ok for me to attend?

A. Yes, PyLadies Paris events are open to everyone at all levels.

📢 PyData Milano is back with another exciting event, hosted at Amazon Italia! This time, we’re diving into two major topics shaping the future of data science and software development. 📍 Location: Amazon Italia, Viale Monte Grappa 3/5, 20124 Milano 🕕 Time: 18:30

Agenda

18:30 – Doors open 19:00 – Welcome from PyData Milano 19:10 – Talk 1: Developments in the Scikit-Learn Ecosystem – Marie Sacksick & Guillaume Lemaître (Probabl.) 19:50 – Talk 2: AI Coding Agents and How to Code Them – Alex Shershebnev (Zencoder) 20:30 – Networking & Aperitivo 🍹

Talk Details

Developments in the Scikit-Learn Ecosystem: Going Beyond .fit(X, y).predict(X)

Scikit-learn has long been the go-to library for predictive modeling, but data science is much more than just training models. In this talk, we’ll explore new tools that enhance the entire machine learning workflow—from data preparation with skrub, to experiment tracking with skore, to production-ready model deployment with skops. Expect demos, insights, and a fresh perspective on how the scikit-learn ecosystem is evolving. 👩‍💻 Speakers: Marie Sacksick (Product Engineer @ Probabl., WiMLDS Paris) Guillaume Lemaître (Open-Source Engineer @ Probabl.)

AI Coding Agents and How to Code Them

AI coding agents promise a new paradigm in software development, going beyond simple autocomplete to autonomous task execution. In this talk, we’ll break down what makes them different from traditional coding assistants, showcase live coding examples, and explore how they might shape the future of programming. By the end, you’ll be ready to integrate AI agents into your workflow—starting now. 🧑‍💻 Speaker: Alex Shershebnev (Head of ML/DevOps @ Zencoder) Join us for a deep dive into the future of machine learning and AI-powered coding, and don’t miss the chance to network over an aperitivo after the talks! 🔗 Register now and spread the word! 🚀

PyDataMilano #MachineLearning #AI #ScikitLearn #DataScience #AIAgents