Valerio Maggio

"Come for the language, stay for the community." If you've been around Python long enough, you've heard this before. I don't know when I first heard it, but I know exactly when I understood it.

Lightning Talks at PyCon DE & PyData are short, 5-minute presentations open to all attendees. They’re a fun and fast-paced way to share ideas, showcase projects, spark discussions, or raise awareness about topics you care about — whether technical, community-related, or just inspiring.

Lightning Talks at PyCon DE & PyData are short, 5-minute presentations open to all attendees. They’re a fun and fast-paced way to share ideas, showcase projects, spark discussions, or raise awareness about topics you care about — whether technical, community-related, or just inspiring.

Machine Learning models can be exploited to leak sensitive data used during training. In this tutorial we will explore Privacy-preserving machine learning (PPML) methods which hold the promise to overcome these issues by training ML models with full privacy guarantees.

Python in Excel is the new integration created by Microsoft that brings Python programming directly into Excel workbooks, for advanced data analytics. With Python in Excel, it is now possible to embed Python code directly into workbook cells, very easily, and with zero setup required.

This talk is meant to be an hitchhickers guide to Dungeons and Dragons (D&D) for programmers. We will leverage on our wit and intelligence to explore a very perilious dungeon 🧙 , where a venomous dragon is hiding in the shadows 🐉 .

Privacy guarantee is **the** most crucial requirement when it comes to analyse sensitive data. However, data anonymisation techniques alone do not always provide complete privacy protection; moreover Machine Learning models could also be exploited to _leak_ sensitive data when _attacked_, and no counter-measure is applied.

PyScript brings the full PyData stack in the browser, opening up to unprecedented use cases for interactive data-intensive applications. In this scenario, the web browser becomes a ubiquitous computing platform, operating within a (nearly) zero-installation & server-less environment.

The Python Data Model is `__magic__` (like, literally!), and what a better use case than processing [Magic: The Gathering™](https://magic.wizards.com/en) cards dataset to deep dive into the the power of the `__dunders__` to create flexible data representations for complex pipelines ?

Nowadays Python is very likely to be the first choice for developing machine learning or data science applications. Reasons for this are manifold, but very likely to be found in the fact that the Python language is amazing (⚠️ opinionated ), and the open source community in the PyData ecosystem is absolutely fantastic (💙 that's a fact 1 2 3 ).

PyScript brings the full PyData stack in the browser, opening up to unprecedented use cases for interactive data-intensive applications. In this scenario, the web browser becomes a ubiquitous computing platform, operating within a (nearly) zero-installation & server-less environment.

PyScript leverages on the web browser to act as a ubiquitous virtual machine to deliver unprecedented Data Science use cases. Data Visualisation is the first and perhaps the most straightforward context in which PyScript can have its say.

This tutorial provides a general introduction to the PyTorch Deep Learning framework with specific focus on Deep Learning applications for Precision Medicine and Computational Biology.