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🍁 PyData Autumn Gathering — October 28 🍂

As the leaves turn and the air grows crisp, join us for a day of data, discovery, and community at PyData Cluj-Napoca! This autumn edition brings together data enthusiasts, analysts, and machine learning practitioners to explore the latest tools and techniques in Python’s data ecosystem. Expect engaging talks, hands-on sessions, and lively discussions on topics ranging from pandas and PySpark to modern AI workflows. Whether you’re refining your data engineering skills or diving into new machine learning approaches, this event is your chance to learn, connect, and be inspired. Let’s celebrate the season of change — and innovation — together. 🍂

Don't forget to bring good vibes and warmth for a social and informative evening! We'll have goodies for hanging out, courtesy of Global Logic. 🍕🥤🌇

---------------------------------------------------------------------------------------------------- "Introduction to the Unified Namespace (UNS) architecture" by Pócs Géza

A presentation and demo session demonstrating the use of MQTT brokers and broker bridging to create a single source of truth across distributed systems—from edge devices to cloud analytics platforms.

---------------------------------------------------------------------------------------------------- "Unifying Data and AI: How to Deliver More Value with the Databricks Lakehouse Platform" by Mircea Chira

Discover how to build end-to-end data and AI solutions on a single, collaborative platform. In this session, we'll walk through the Databricks Lakehouse, showing you how to move seamlessly from raw data ingestion to a production-ready machine learning model. You'll see how core components like Delta Lake, the pandas API on Spark, and MLflow work together to eliminate data silos and simplify your workflow. This talk is for Python data professionals who want to spend less time managing tools and more time delivering value.

---------------------------------------------------------------------------------------------------- NumFOCUS Code of Conduct https://numfocus.org/code-of-conduct

PyData Cluj-Napoca: Meetup #29
David Lapsanschi – Head of Data Science @ Evozon

Panel featuring four professionals from industry and academia sharing experiences, insights, and guidance for students and beginners in data science. Moderated by the Head of Data Science at Evozon. Topics include career paths, programming languages to focus on, building your first portfolio, and landing your first data science role.

Data Science

Learn how to set up MLflow for LLM tracing and monitoring in this practical session. We’ll walk through the basics of capturing execution traces from language model applications and explore how MLflow can help you track and debug your LLM workflows. Using straightforward LangChain examples, you’ll see how to implement basic tracing functionality to gain better visibility into your model’s behavior and performance. An introduction for data scientists and ML engineers who want to add observability to their language model projects. We will also go into managing the lifecycle of experiments, runs and traces.

mlflow langchain llm monitoring
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