🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🇫🇷 Le planning de la #PyConFR 2024 est disponible ! Venez consulter en détail les ateliers et les conférences proposées durant les 4 jours ! 🐍 Rappel : l'inscription est obligatoire, mais gratuite. Planning : pycon.fr/2024/fr/schedu… Détails des sprints : pycon.fr/2024/fr/talks/…

Open-source contributors are working hard at the PyData Paris sprints following the 2024 conference! Many thanks to Carrefour numérique² for hosting us!

This September, I attended the PyData Paris 2024 conference organized by QuantStack . I had a great time, met some interesting people, learned a lot, and gave a talk on @datalabplatform. Here's my humble/non-objective feedback on the conference: t.ly/Ilyh3.

Retour en image sur notre participation à PyData Paris.  📸 Ce fut une belle opportunité d'échanges avec d'autres experts et de mettre en lumière notre expertise dans le domaine du MLOps, Data et Machine Learning ! 🤝 #PyDataParis #MLOps #DataScience #MachineLearning

📢 We will be back in 2025 for another PyData Paris conference! 📻 Stay tuned!

👋 Anne Fouilloux and TinaOdaka are kicking off the Pangeo meetings organized by CNES in Paris.

📢 The videos of our 2024 conference are out ! Go get a look and enjoy hours of interesting talks. 💻 #PyData #PyDataParis youtube.com/playlist?list=…

🔍 Long-term knowledge acquisition requires repetition. Nicolas M. Thiéry introduces Jupylates, a Jupyter extension for spaced repetition in teaching. It integrates repetitions directly into Jupyter courses. Watch the full talk: youtu.be/4WDVm4PcHig #PyData #PyDataParis

🔌 Live coding, Rust plugins, and lazy execution insights – Marco Gorelli breaks down polars data at PyData Paris. This talk is a must-watch for data enthusiasts! buff.ly/3ZBkvrR #Polars #DataFrame #Narwhals

💡 Open-source AI is revolutionizing the field, offering privacy, customization, and cost-efficiency. merve from Hugging Face explores why it matters and how to get started. 🔗 Watch now: youtu.be/-Mv1KGr2FKs

🔒 The EU's Cyber Resilience Act is set to impact the software industry globally. Cheuk Ting Ho discusses its implications, timeline, and new responsibilities for developers and maintainers. Learn how the PSF is preparing and how you can too. 📺 youtu.be/KkUo8bD-0cE

📈 "Half of my marketing budget is wasted, but I don't know which half." This century-old quote still rings true today. Emanuele Fabbiani discusses how Bayesian models can optimise marketing spend. Learn how to maximise ROI with actionable insights: youtu.be/GYmE_VcAeJA

📊 Unpacking business metrics to explain their evolution is a common challenge for data analysts. Max Halford's talk introduces a robust framework for decomposing metrics, offering a clear methodology and an open-source Python tool.🔍 youtu.be/kiWW4Oty8kY

🎯 Adaptive prediction intervals are crucial for practitioners involved in decision-making. Learn about state-of-the-art algorithms for constructing these intervals. 🔗 Watch Andro Sabashvili's talk here: youtu.be/t56zcfj51aU

🔬 Processing medical images at scale on the cloud is crucial for advancing oncology. Guillaume Desforges discusses the challenges and solutions in handling large Whole Slide Images for cancer detection. 👀youtu.be/GHTPLJpzgtM

📊 Propensity Score Matching has significant flaws. Alexandre Abraham introduces A2A, a novel metric to enhance PSM reliability. 🔍 Watch now: youtu.be/y75GbnHizaQ

🔔 "Would you rely on ChatGPT to dial 911?" Nicolas Guenon des Mesnards explores balancing determinism and probabilism in production ML systems. Learn how to enhance robustness and controllability in ML models. 🔍 Watch now: youtu.be/UUNaRYvEJkY

PyData Paris will be back in 2025 ! 🎉 📆 Sept 30th & Oct 1st 2025 📍Cité des Sciences et de l’Industrie Thanks to our early supporters Hopsworks and Université Paris-Saclay's Graduate School of Computer Science. NumFOCUS PyData PyData Paris pydata.org/paris2025

Evaluating RAG systems is crucial yet challenging. N. El Mawass and M. Knorps dive into the stability and usefulness of RAG evaluation libraries. They explore the impact of evaluator LLMs, query reformulation, and dataset characteristics on performance. youtu.be/yrWmK3pXrKk