DATA, AI & MACHINE LEARNING

Python is the language of data science and AI — EuroPython features dedicated tracks covering data engineering, machine learning, NLP, computer vision, and scientific computing.

Wednesday – Friday, July 15–17

34 sessions across 5 tracks

34 data, AI & ML sessions at EuroPython 2025

# Machine Learning: Research & Applications

From Trees To Transformers: Adopting Deep Learning for Ranking

Theodore Meynard, Mihail Douhaniaris

Psychological Model for Mapping and Prediction of Stress Among Students

Oluwakemi Omowunmi Jacobs, Oladapo Kayode Abiodun

Wisdom of the cloud? Drifting through Community Notes

Laura Summers, Andy Kitchen

# Data Engineering and MLOps

Accelerating privacy-enhancing data processing

Florian Stefan

Data Governance 101: Stop Firefighting, Start Engineering

Kateřina Ščavnická

Exploring LLM latency

Pavel Král

Sharing is caring: Efficient Data Exchange with pyarrow

Raúl Cumplido Domínguez, Rok Mihevc, Alenka Frim

The Pydantic stack for AI apps

Laura Summers, Victorien Plot

dbt-score: continuous integration for dbt metadata

Matthieu Caneill, Jochem van Dooren

# Data preparation and visualisation

Building my own (accurate!) Spotify Wrapped

Iulia Feroli

Cleaner Code, Better Queries: SQLAlchemy, ORMs and asyncio

Rhythm Patel, Olga Matoula

Python and Data Storytelling to create and deliver better presentations

Sebastián Flores

Python on the Pitch: How Germany will win World Cup 2026

Ruslan Korniichuk

Running every street in Paris with Python and PostGIS

Vinayak Mehta

Slithering through Audio Data with Python

Tamsin Fuller

# Machine Learning, NLP and CV

AI Discussion Panel

Laura Summers, Kayode Makinde, Reyha Verma, Jenny Vega

Efficient Query Routing using Agentic RAG

Tarun Jain

Is Prompt Engineering Dead? How Auto-Optimization is Changing the Game

Iryna Kondrashchenko, Oleh Kostromin

# Jupyter and Scientific Python

Accelerating Scientific Python: JAX, Numba, and Ray in Action

Jakub Urban, Jan Pipek

GPU performance or ease of use: why not both?

Szymon Karpiński, Kamil Tokarski

How to Stop an Epidemic using the Atomica Python Tool

Eloisa Pérez Bennetts

Meet Marimo, the next-gen Notebook

Sven Arends

Origami Speed Championships: Fast Polygon Triangulation in Python

Grzegorz Bokota

Portable data-parallel Python extensions using oneAPI

Nikita Grigorian

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