**PyData Roma Capitale × R-Ladies Rome × R User Group Meetup!** 🎉
Three vibrant communities unite for a special evening celebrating the power of collaboration, diversity, and curiosity. Join us at INGV, a hub of innovation and knowledge, for an inspiring meetup where data scientists, developers, and enthusiasts from Python and R worlds share experiences, discoveries, and friendly banter.
📍 **Location**: INGV, Via di Vigna Murata 605, 00143 Rome
📅 **Date**: 16 June 2025
🕒 **Time**: 18:00 – 20.00

⚠️ Remember to RSVP using your **full name** for security reasons and bring a **valid ID** to show at the entrance. **Otherwise, you will not be allowed to enter the premises!** ⚠️

Schedule:

* 18:00 🚪 Doors open
* 18:15 🙌 Welcome from PyData Roma Capitale, R-Ladies Rome, and R User Group
* 18.30 🎤 **"Speaking Many Languages: Finding Power and Joy in R and Python" – Federica Gazzelloni**
* 19.00 ⚡ **Lightning Talks** (open mic, up to 5 minutes!)
* 19.30 🤝 Networking —share insights, spark new collaborations
* 20:00 👋 Close & goodnight (or if you want, join us for a multi-community dinner outside the venue!)

**"Speaking Many Languages: Finding Power and Joy in R and Python" – Federica Gazzelloni:**
When I started my data science journey, I believed I had to “choose a side”—R or Python. But over time, I discovered that speaking more than one programming language isn’t about choosing sides; it’s about expanding perspectives. In this talk, I’ll share a bit of my personal story—how I learned both R and Python, what each has taught me, and how switching between them has enriched my work and opened unexpected doors. Along the way, I’ll walk through a few simple, side-by-side examples in both languages to highlight their strengths and unique styles. Whether you’re deeply rooted in one language or just starting out, I hope this talk leaves you feeling empowered to learn broadly, build confidently, and connect across communities.
⚡ **Lightning Talks:** Got a story about a coding adventure, a neat trick you recently learned, or a side project you'd love to share? Step up and speak out—everyone’s welcome! Sign up on-site for a quick 5-minute talk (English or Italian).
🎟️ **Sign up:** Places are limited—RSVP early to secure your spot!
**Note:**

* Use your full name when you RSVP.
* Can’t make it? Please cancel at least 48 hours in advance so others can join.

Let's explore, learn, and grow together. No matter your background or experience, we can't wait to hear your stories and discoveries!
See you there! 🙌

PyData Roma Capitale

Carmela Salandria

Egon Ferri

Federica Gazzelloni

Vincenzo Ventriglia

Marco Sciacovelli

Vanessa Iannozzi

alessio.a

Lucy M

arnaldo morena

Alessandro Pappalettera

valerio A

Enrico

Giulio

Davide Coppola

Denise Mars

nurkamilkyzy.1992740

Francesco Conti

Federico Kieffer

Ahmed Sheta

Federico Palma

PyData Roma Capitale, R-Ladies Rome, R User group meetup @ INGV

Istituto Nazionale di Geofisica e Vulcanologia

**📅 Date:** 17-06-2025 **(Tuesday)**
**📍 Location:** Talentware @ WAO PL7, Via Luigi Porro Lambertenghi 7 (Isola/Zara/Garibaldi FS)

**Agenda**

* **18:30 -** Doors Open
* **18:50 -** Welcome to PyData
* **19:00 - Talk 1:** *Stock Market Forecasting with Nixtla Conformal Prediction and Stock Agent Analysis*
* **Speaker**: Claudio Giorgio Giancaterino, Actuary & AI Scientist @ Intesa San Paolo Assicurazioni
* **19:40 - Talk 2:** *Proof of Concept or Proof of Chaos? Develop AI POC that impress and create value for your product*
**Speaker**: Raffaele Bongo, Senior ML Engineer & Data Solutions Architect @ Talentware
* **20:20 -** Networking & Aperitivo offered by Talentware

Join us for dinner after the event too to continue chatting!

**Talks and Speakers**

*Stock Market Forecasting with Nixtla Conformal Prediction and Stock Agent Analysis*

Dive into the future of financial analysis and the power of uncertainty quantification using conformal prediction techniques, applied through the robust capabilities of Nixtla library. Gain insights into how this tool provides reliable predictive intervals, enhancing decision-making in volatile markets.

* Advantages and Fundamentals concepts of Conformal Prediction:
Explore the impact of conformal prediction on financial time series forecasting. This talk will introduce the fundamentals of conformal prediction, highlighting its ability to provide reliable uncertainty quantification by generating predictive intervals that encompass real market behaviours. In this way conformal prediction allows investors to make informed decisions despite inherent market volatility.
* Nixtla library and practical example of a financial time series:
To bring theory into practice, Claudio will present the Nixtla library, which simplifies the implementation of conformal prediction, and walk us through a use case using Yahoo! Finance's API with a comparison of TimeGPT against several statistical and machine learning models.
* Streamlit App: Develop a Streamlit App for a general Stock Market Forecasting, supported by a Stock Agent Analysis built with pyautogen

**Claudio Giorgio Giancaterino** is an actuary at ISPA by day and freelance data scientist in his spare time.

*Proof of Concept or Proof of Chaos? Develop AI POC that impress and create value for your product*

With hundreds of new AI technologies and methodologies emerging daily, having a robust and holistic Proof of Concept (POC) framework to identify what truly adds value to a product has never been more critical.

POC projects are often underestimated, yet they play a pivotal role in the success of AI initiatives and features. This talk highlights the importance of bringing rigor back to AI POCs, offering a structured, end-to-end approach to ensure their effectiveness. It also examines how AI feature POCs intersect with traditional software and design processes, clarifying AI’s role within the broader product development lifecycle.

We’ll explore common pitfalls and strategies to address them. You’ll learn how to:

1. Define scope: Set clear objectives, boundaries, and success metrics while involving the right stakeholders from the start.
2. Iterate effectively: Track experiments properly, build in a flexible and repeatable way, and be ready to pivot or start over when necessary.
3. Facilitate feedback loops: Present results effectively, collect actionable feedback, and guide discussions to improve the solution.

By applying these principles, teams can develop AI POCs that not only prove value but also lay the groundwork for scalable, production-ready solutions.

**Raffaele Bongo** is a Senior Machine Learning Engineer and Data Solutions Architect at Talentware. Raffaele has an extensive experience in startups and scale-ups, where he has specialized in building and deploying machine learning models and data pipelines on cloud platforms. Originally, Raffaele signed up for mechanical engineering but switched to computer science last minute because AI sounded cooler. Great call!

PyData Milano

Emanuele Roppo

Pietro Peterlongo

Cesare Placanica

Giulio Mazzanti

Luca Melfi

Paolo Melissari

Zana Ilic

Marta Brasola

Varaga Ha

Leonardo Acquaroli

dilan udawala hewage

Francesca Zara

Matteo Rocco

Alessandro Marchesin

Bonaventura Cappelletti

Marco Beri

Julia

Stelios Kritsotalakis

Andrea Guzzo

Emanuele Fabbiani

PyData Milan: Stock Forecasting & AI POCs That Deliver

WAO PL7 - Spazio Coworking

**Venue**: Carnival House, 100 Harbour Parade, Southampton, SO15 1ST
**📢 Want to speak 📢: [submit your talk proposal](https://bit.ly/pydataSoton-talks)**

**Please note**:

1. 🚨🚨🚨A valid photo ID is required by building security. You MUST use your initial/first name and surname on your meetup profile, otherwise, you will NOT make it on the guest list! 🚨🚨🚨
2. This event follows the **[NumFOCUS Code of Conduct](https://numfocus.org/code-of-conduct)**, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in.
If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list.

\*\*\*
**Code of Conduct**:
This event follows the **[NumFOCUS Code of Conduct](https://numfocus.org/code-of-conduct)**, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.
\*\*\*
There will be pizza & drinks, generously provided by our host, Carnival UK.
\*\*\*

**AI Agents in the Data Pipeline -** [Craig West](https://craig-west.netlify.app/)
*Can we build an Agentic AI Data Analyst (intern)?*
In this 90-minute workshop we will work almost exclusively with notebooks. The aims for the workshop are:

1. To see that it can be just ‘AI as API’, albeit a very magical API.
2. To show that AI based apps need not be all AI or not at all, but we can have ‘a bit of AI’ in our apps.
3. To show that it is ‘business as usual’ as Pythonistas, using our experience and skills to create AI Apps.

**PART ONE**

1. We will learn how to build AI Agents from scratch and see that they can be considered to use ‘AI as API’. A new way of coding is involved, and we will spend time understanding how Generative AI is used.
2. We will look at the fundamental patterns and explore Tool/Function calling.
3. We will examine how Multi Agents frameworks use traditional design patterns.
4. We will also look briefly at how we test Agentically and evaluate our Agents.

**PART TWO**

1. We will look at some AI Agents and see how they can be used in a Data Pipeline, from ETL to Query Analysis and Text2SQL.
2. We will have a conversation about how capable our AI Agents are and what we can expect from them.

Access to an LLM will be required.
Groq provides a free tier which will be more than suﬀicient for our use. It uses the same interface as OpenAI so an OpenAI API key or Groq API key will be suﬀicient. Code is wired for both Groq and OpenAI except for one or two demo examples.

Free Tier with Groq: https://console.groq.com/login
GitHub Repository: https://github.com/Python-Test-Engineer/pydata-southampton

Please follow the instructions in advance of attending the workshop

**Please note this is a practical session and you will need to bring your own laptop. We recommend you bring it fully charged, if you can, as there may not be enough plug sockets for everyone to use at the same time.**

**Logistics**
Doors open at 6.30 pm, talks start at 7 pm. For those who wish to continue networking and chatting we will move to a nearby pub/bar for drinks from 9 pm.

Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!

Follow [@pydatasoton](https://twitter.com/pydatasoton) (https://twitter.com/pydatasoton) for updates and early announcements. We are also on Instagram/Threads as @pydatasoton; and find us on LinkedIn.

PyData Southampton

Adam Hill

Robin Wilson

Christopher Frohmaier

Luis Corrêa

Rebecca French

Craig West

Krzysztof Balonek

gedghill1896

Aigbs Ohiwerei

Itos Okonna

Simon

Sirajuddin Mohammed

Lana Smith

David Yang

Tianhao Chen

Roja

mohammadfaisalkhan1522

Rob Davis

Ismet Gocer

Natalie Parkhomenko

PyData Southampton - 17th Meetup

Carnival House

FastAPI in 2025: Building Lightning-Fast Python APIs with Automatic Documentation and Type Safety

Abstract: FastAPI has emerged as the go-to framework for high-performance Python API development, processing over 3,000 requests per second while maintaining developer productivity. This talk explores FastAPI's game-changing features including automatic OpenAPI documentation generation, built-in data validation through Pydantic, and native async/await support that rivals Node.js and Go performance.
Key topics include FastAPI's modern Python type hint integration, automatic interactive documentation (Swagger UI/ReDoc), advanced security features, and testing strategies.

PyData T&T

T. Dyer

kris manohar

Zachary Subran

37th Meet up: FastAPI in 2025 Building Lightning-Fast Python APIs

Online event

Carissimi, continuiamo con i meetup PyData, incentrati come sempre sulla condivisione di best practice, metodologie, analisi, sistemi di machine learning, .., con i progetti open source del programma di [NumFOCUS](https://numfocus.org/sponsored-projects) ma non solo !

Ci troviamo in **#presenza giovedì 19 giugno alle ore 19:00**.
L'incontro si terrà presso il [Coworking Mestre](https://www.google.com/maps/search/?api=1&query=45.480927%2C%2012.249968), in via Torino 135, di fronte al NH Laguna Palace Hotel, e per chi non potesse raggiungerci, si terrà anche su YouTube in **#streaming**.

👥 Avremo due speech interessanti:
🗣 [Luca Bigon](https://www.linkedin.com/in/bigluck/) ci porterà oltre i paradigmi dei dati tradizionali, raccontandoci la sua avventura a [Bauplan](https://www.bauplanlabs.com/) in cui applica pratiche di sviluppo software come **#branching** e **#TimeTravel** su **#ApacheIceberg** in **#SQL** e **#python**.
A seguire 🗣 [Alberto De Lazzari](https://www.linkedin.com/in/albertodelazzari/) continua la saga di quest’anno, portandoci degli esempi concreti di come l’analisi delle connessioni, con **#GraphAI** e **#GraphNeuralNetworks**, ha fatto la differenza in [LARUS Business Automation](https://larus-ba.it/).

📽 E se avete piacere di condividere idee, progetti, argomenti, o proporvi come prossimi speaker, lascio il solito [form Google](https://forms.gle/rVMWxFnodHaNb9ab9) !

PyData Venice

Alessandra Bilardi

gamage.ranmalee

Fabio D.

Tiziana

Luca Bigon

Roberto B

Ainura

angelociulla89

Matteo Piombo

Arnela Halili

Federico

ignacio abé

Nilson Soares

Максим Коханський

slvnnn

Luca Stefanuto

Simone Sicchia

matteofranchin31

Rajatkant Nayak

Andrea.Masotti

PyDataVE #21 - #GraphAI & #DataVersioning

Via Torino, 135

PyData

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This group is operated by NumFOCUS, Inc. PyData is a program of NumFOCUS, a U.S.-based 501(c)3 non-profit. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including Python, Julia, R, and more.

The PyData Code of Conduct (http://pydata.org/code-of-conduct.html) governs this meetup. You can submit a report of any potential Code of Conduct violation here: https://numfocus.typeform.com/to/ynjGdT 

Thanks for making PyData a welcoming and friendly community!

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