Emanuele Fabbiani

Do you find yourself struggling with Pandas' limitations when handling massive datasets or real-time data streams? Discover Polars, the lightning-fast DataFrame library built in Rust.

This session explores Langfuse, OpenLIT, and Phoenix, highlighting their unique strengths and practical applications in monitoring, debugging, and scaling AI-driven systems. By the end, you’ll gain valuable insights to better understand your applications and optimize your generative AI workflows.

Large Language Models (LLMs) are transforming digital products, but their non-deterministic behaviour challenges predictability and testing, making observability essential for quality and scalability.

Understanding the effectiveness of various marketing channels is crucial to maximise the return on investment (ROI). However, the limitation of third-party cookies and an ever-growing focus on privacy make it difficult to rely on basic analytics.

In today's digital landscape, traditional analytics struggle with understanding marketing ROI, especially with evolving privacy norms. But Python and its ecosystem come to the rescue.

This talk showcases the use of serverless computing to solve large-scale optimization problems efficiently. Starting from a real case study, we discuss different cloud-based architectures and we show how cloud functions enable a 96% reduction in elapsed time while keeping the cost low.

Want to improve your understanding of asyncio? This talk is for you. We present the event loop, coroutines, tasks, async loops and context manager, describing their implementation in python and asyncio. Then, we provide practical tips about how to use async primitives in python applications.