Yuval Feinstein: Georgia on my Mind: NLP Meets Social Network Analysis for Exploring New Domains

Ronny Ahituv: Supercharging CTR (Click-Through Rate) with Plug-and-Play AI Capabilities

Mike Erlihson: State-Space Models and Deep Learning: Is there a new revolution on our doorstep?

Dominique Alexander Piatti - Peek into Threat Intelligence (PyData Prague #23)

Martin Votruba - Low-Tech ETL (PyData Prague #23)

PyData Chicago December 2024 Meetup | Merging Monte Carlo Methods with Machine Learning

Unleashing Confidence in SQL Development through Unit Testing - Tobias Lampert (Lotum)

Boosting Time Series Accuracy: The Power of Ensemble Methods - Robert Haase (Paretos)

James Munro - ArcticDB, the OLAP antidote | PyData NYC 2024

Daniel Goldfarb: Adding Your Own Data Apps to JupyterLab | PyData Tel Aviv 2024

Šimon Podhajský - Multi-Agent Frameworks: Teaming Up Specialized AI Models to Tackle Complex Tasks

Erik Welch - Fast NetworkX and How Accelerated Backends Are Changing Graph Analytics

Jesse Averbukh - Color-composite images from the James Webb Space Telescope

Nicolas M. Thiéry - Jupylates- spaced repetition for teaching with Jupyter

Silva-Enhancing RAG-based apps by constructing and leveraging knowledge graphs with open-source LLMs

Luis Blanche & Benoît Courty - Track your code's CO2 emissions with Code Carbon | PyData Paris 2024

Johannes Bechberger - Python 3.12's new monitoring and debugging API | PyData Paris 2024

Tim Paine - High Performance Data Visualization for the Web | PyData Paris 2024

Christophe Dervieux - Exploring Quarto Dashboard for impactful and visual communication

Breddels & Rotko - Solara: Pure Python web apps beyond prototypes and dashboards | PyData Paris 2024

Nichita Morcotilo - Bridging the worlds: pixi reimplements pip and conda in Rust

Johan Mabille & Julien Jerphanion - Unveiling Mamba 2.0: The Future of Fast Package Management

Pierre Raybaut - Bridging Scientific and Industrial Worlds for Advanced Signal and Image Processing

Cordier & Laurent - Boosting AI Reliability- Uncertainty Quantification with MAPIE

Tuloup & Thomas - JupyterLite, Emscripten-forge, Xeus, and Mamba

Wright & Dave - Open Source Sustainability & Philanthropy: Building Contributor Communities

Hendrik Makait - Geoscience at Massive Scale | PyData Paris 2024

Serge « sans » Paille - xsimd: from xtensor to firefox | PyData Paris 2024

Baggi & Orlandi-Foundational Models for Time Series Forecasting: are we there yet |PyData Paris 2024

Heidrich & Kiraly - sktime: python toolbox for time series- next-generation AI | PyData Paris 2024

Cheuk Ting Ho - Counting down for CRA: updates and expectations | PyData Paris 2024

Baumann & Marchand - Visualization of the sky in Notebooks: the ipyaladin widget extension

Comte et al. - Onyxia: A User-Centric Interface for Data Scientists in the Cloud Age

Noé Achache - Towards a deeper understanding of retrieval and vector databases | PyData Paris 2024

Simeon Carstens - Chainsai:- facilitating sampling of multimodal probability distributions

Carton & Tiran-Cappello - MLOps at Renault: A Generic Pipeline for Scalable Deployment

Klein & Martí Escofet - An Introduction to 'metalearners', a Flexible MetaLearner Library in Python

Alexandre Abraham - Dreadful Frailties in Propensity Score Matching and How to Fix Them

Andro Sabashvili - Adaptive Prediction Intervals | PyData Paris 2024

Lemaitre & Senger - An update on the latest scikit-learn features | PyData Paris 2024

KEYNOTE: Olivier Grisel - Handling predictive uncertainty in Machine Learning | PyData Paris 2024

Lightning talks - session 2 | PyData Paris 2024

Nicolas Guenon des Mesnards - Would you rely on ChatGPT to dial 911? | PyData Paris 2024

El Mawass & Knorps - Evaluating the evaluator- RAG eval libraries under the loop | PyData Paris 2024

Bel-Letoile & Carton - Leveraging LLMs to build supervised datasets suitable for smaller models

Inácio Medeiros - Unveiling new maps of biology with Squidpy | PyData Paris 2024

Patrick Hoefler - Building Large Scale ETL Pipelines with Dask | PyData Paris 2024

Joris Van den Bossche - The expanding Apache Arrow universe | PyData Paris 2024

Marco Gorelli - Polars Plugins: how you (yes, you!) can extend Polars Dataframes | PyData Paris 2024

KEYNOTE: Katharine Jarmul - DIY Personalization: How, when why to offer self-made AI

KEYNOTE: Merve Noyan - Open-source AI: why it matters and how to get started | PyData Paris 2024

Lightning talks - session 1 | PyData Paris 2024

Max Halford - Unpack business metrics to explain their evolution | PyData Paris 2024

Emanuele Fabbiani - Is your marketing effective? Let Bayes decide! | PyData Paris 2024

KEYNOTE: Sophia Yang - Building with Mistral | PyData Paris 2024

Trung Le & Martin Renou - Building web-based engineering applications with JupyterLab components

M. Knorps & Z. Zhang - On the structure and reproducibility of Python packages - data crunch

Geva Kipper: Identifying Repetitive Songs using LZ Compression (HE) | PyData Tel Aviv 2024

Eran Krakovsky: APL-Inspired Techniques for Advanced NumPy (HE) | PyData Tel Aviv 2024

Janssens, Chow & Nieuwdorp - Turning DataFrames into Pretty Pictures with Plotnine | PyData NYC 2024