PyMI and PyData Special: Python AST and EU AI Act

We will be diving into two fascinating topics: advanced Python parsing with Abstract Syntax Trees and the implications of the EU AI Act for machine learning practitioners.

📍Location: TrueLayer, Via J. Colombo 8, Milano
🕒 Date & Time: 16 April, 18:30

Agenda
18:30 – Welcome Aperitivo🍹
19:15 – Welcome from PyData Milano
19:30 – Talk 1: Practical Python Parsing with the `ast` Standard Module – Domenico Nucera
20:15 – Talk 2: EU AI Act – The Abridged Version – Paolo Nicoli

After the second talk, we'll likely grab dinner together in a nearby place 🍕

Practical Python Parsing with the ast Standard Module
Python’s standard library includes a powerful yet underutilised module for working with Abstract Syntax Trees (AST). This talk will introduce the audience to the `ast` module and its practical applications in analysing and transforming Python code. We’ll explore what happens when invoking `ast.parse()` on a code snippet, walk through the library’s API, and showcase useful examples in a live demo. Whether you’re new to ASTs or looking for practical use cases, this session will provide insights and hands-on tips.

👨‍💻 Domenico Nucera
Software Engineer with expertise in Python, C++, and Go, and a passion for Rust and Dart. When he’s not coding, he enjoys cooking, hiking, and surfing.

EU AI Act - The Abridged Version
The European Union's AI Act is poised to bring significant changes to the field of machine learning, introducing a structured framework for AI regulation. This talk will cover the core elements of the AI Act, including:

• Definitions of roles and responsibilities for AI developers and providers
• Classification of AI systems by risk levels and the associated requirements
• Compliance obligations, enforcement mechanisms, and potential penalties

By the end of this session, you'll gain a practical understanding of how the AI Act may impact your work and what steps may be required for compliance.

👨‍🎓 Paolo Nicoli
Machine Learning Engineer with a background in physics, a passion for data science, and hands-on experience in cloud-based infrastructure and auto-scaling solutions.