PyData Roma Capitale + PyRoma Meetup! 🎉 Let's pick up where we left off and continue our mission to make Rome a fantastic place for software engineering and data science. This edition will take place at The Social Hub Roma San Lorenzo, a brand-new hybrid space that combines hospitality, coworking, and culture — the perfect place to learn, share, and connect. The presentations for this event will be announced soon. You could be the next speaker for a future event. If you have a presentation, some interesting code, or an open problem you'd like to discuss with the community, compile the form and let us know! (Proposals can be in English or Italian, whatever makes you comfortable.)

Date: November 19th 2025 Schedule:

• 18:00 🚪 Door Opening
• 18.30 ⚡ Jaeger Advisor: How I built my own personal TripAdvisor in just half a day - Andrea Rosati (Software developer @Screevo)
• 18.40⚡ Python 3.14 (or "π-thon" for real nerd pythonists) - Alssandro Pappalettera (Senior Software Engineer @Neosperience)
• 19.00 🎤 From OpenAI to DeepSeek: New Scaling Laws for LLMs that can Reason - Luca Baggi (AI Engineer @xtream)
• 19.30 🎤 The unsatisfying issue of AI's environmental impact - Martino Wong (Content Creator @Oradecima, @Datapizza)
• 20.00 🍕🍹 Socializing & aperitivo

Jaeger Advisor: How I built my own personal TripAdvisor in just half a day In half a day, I built a personal TripAdvisor by linking Notion to Google My Maps. I can save, tag, and rate places in Notion and see them instantly on a custom map, keeping full control of my data without relying on external platforms.

Python 3.14 (or "π-thon" for real nerd pythonists) Python 3.14, a brave new version of the language, tries to embrace perfection. It moves us one step forward into the free-threaded era where nothing is (globally) locked anymore. Let's see together where we are so far and where we can go further!

The unsatisfying issue of AI's environmental impact In a talk that has the potential to be irritating for both environmentalists and AI-optimists, we will tackle the growing concern about generative AI's environmental impact. We'll explore the energy costs of AI in an accessible way, look at what companies reveal (and don’t) and try to answer the question: is AI's energy cost an overblown issue, or should we be worried?

From OpenAI to DeepSeek: New Scaling Laws for LLMs that can Reason With o1, OpenAI ushered a new era: LLMs with reasoning capabilities. This new breed of models broadened the concept of scaling laws, shifting focus from train-time to inference-time compute. But how do these models work? What does "inference-time compute" exactly mean? What data do we use to train these new models? And finally - and perhaps more importantly: how expensive can they get, and what can we use them for?

Sign Up! Space is limited, so RSVP today to secure your spot! Please note: Remember to RSVP using your full name for security reasons and bring a valid ID to show at the entrance. If you can't attend, please let us know at least 2 days in advance so you can free spots for people on the waiting list. We look forward to seeing you there! 🙌