By: Gertrude Abagale
The global tech ecosystem continues to grow, yet challenges like limited mentorship, a lack of role models, and fragmented community support hinder progress, especially for underrepresented groups. Py...
By: AISHAT MUIBUDEEN (Maya)
Open source runs on passion, but passion is not a renewable resource. This talk will explore the hidden emotional and social costs of contributing to open-source projects. From burnout to invisibility...
By: Emma Saroyan
Are you a scientist or a developer looking to understand how to use NumPy to solve computer vision problems?
NumPy is a Python package that provides the multidimensional array object which you can us...
By: Ferdinand Schenck
Energy infrastructure is vulnerable to damage by erosion or third party interference, which often takes the form of unsanctioned construction. In this talk we discuss our experiences using deep learni...
By: Tobias Lampert
Are your SQL queries becoming tangled webs that are difficult to decipher, debug, and maintain? This talk explores how to write shorter, more debuggable, and extensible SQL code using **Pipelined SQL*...
By: Tobias Hann
In January the Synthetic Data SDK was introduced and it quickly is gaining traction as becoming the standard Open Source library for creating privacy-preserving synthetic data. In this hands-on tutori...
By: Konrad Richter
At GetYourGuide, we transformed experimentation from a centralized, closed system into a democratized, self-service platform accessible to all analysts, engineers, and product teams. In this talk, we'...
By: Michele Dolfi, Christoph Auer
Docling, an open source package, is rapidly becoming the de facto standard for document parsing and export in the Python community. Earning close to 30,000 GitHub in less than one year and now part of...
By: Tim Tenckhoff, Matthias Orlowski
The visual exploration of large, high-dimensional datasets presents significant challenges in data processing, transfer, and rendering for engineering in various industries. This talk will explore inn...
By: Orell Garten
Many industrial and legacy systems still push critical data over TCP streams. Instead of reaching for heavyweight cloud platforms, you can build fast, lean batch pipelines on-prem using Python and Duc...
By: Alexander C.S. Hendorf
Using AI agents and automation, PyCon DE & PyData volunteers have transformed chaos into streamlined conference ops. From YAML files to LLM-powered assistants, they automate speaker logistics, FAQs, v...
By: Mehdi Ouazza
Most Python developers reach for Pandas or Polars when working with tabular data—but DuckDB offers a powerful alternative that’s more than just another DataFrame library. In this tutorial, you’ll lear...
By: Maria Knorps
Managing who can see or do what with your data is a fundamental challenge, especially as applications and data grow in complexity. Traditional role-based systems often lack the granularity needed for ...
By: Vinayak Nair
I will share how our team built an end-to-end system to transform raw satellite imagery into analysis-ready datasets for use cases like vegetation monitoring, deforestation detection, and identifying ...
By: Kristian Rother, Shreyaasri Prakash
In this tutorial, you will play several games that can be used to teach machine learning concepts. Each game can be played in big and small groups. Some involve hands- on material such as cards, some ...
By: Adrin
The EU AI Act is already partly in effect which prohibits certain AI systems. After going through the basics, we cover some of the less talked about aspects of the Act, introducing entities involved i...
By: Yashasvi Misra
As machine learning models become more complex, understanding why they make certain predictions is becoming just as important as the predictions themselves. Whether you're dealing with business stakeh...
By: Jakob Pörschmann
Drawing on experience at Google designing 50+ RAG applications rolled out to millions of users, this talk presents a practical RAG design blueprint. We'll dissect key decision points for building robu...
By: Emily White, Vinay Babu
This talk explores how we're applying agentic AI, ontology, and GraphRAG to tackle some complex data integration challenges in the trucking and logistics industry. We'll detail the development of a sy...
By: CainĂŁ Max Couto da Silva
This hands-on tutorial will guide participants through building an end-to-end AI agent that translates natural language questions into SQL queries, executes them on live databases, and returns coheren...
By: Giampaolo Casolla, Ansgar GrĂĽne
How to use LLMs to categorize hundreds of thousands of products into 1,000 categories at scale? Learn about our journey from manual/rule-based methods, via fine-tuned semantic models, to a robust mult...
By: Laura
With a focus on healthcare applications where accuracy is non negotiable, this talk highlights challenges and delivers practical insights on building AI agents which query complex biological and scien...
By: Alina Dallmann
Using LiteLLM in a Real-World RAG System: What Worked and What Didn’t
LiteLLM provides a unified interface to work with multiple LLM providers—but how well does it hold up in practice? In this talk...
By: Johannes Kolbe
API calls suck! Okay, not all of them. But building your AI features reliant on third party APIs can bring a lot of trouble. In this talk you'll learn how to use web technologies to become more indepe...
By: Dat Tran, Dennis Schmidt
In aviation, search isn’t simple—people use abbreviations, slang, and technical terms that make exact matching tricky. We started with just Postgres, aiming for something that worked. Over time, we up...
By: Johannes Schöck
A practical deep-dive into Azure DevOps pipelines, the Azure CLI, and how to combine pipeline, bicep, and python templates to build a fully automated web app deployment system. Deploying a new proof o...
By: Sankalp Gilda, Ph.D.
Many projects build knowledge graphs with custom schemas but struggle to align them with standard hubs like Wikidata. Manual mapping is tedious and error-prone, while fully automated methods often lac...
By: Elizaveta Zinovyeva
Transform time-consuming document compliance reviews into automated workflows with Generative AI. Through live demonstrations, learn how to build systems that extract policies from unstructured data, ...
By: Alexandre Andorra, Jesse Grabowski
**State Space Models** (SSMs) are powerful tools for time series analysis, widely used in finance, economics, ecology, and engineering. They allow researchers to encode structural behavior into time s...
By: 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. T...
By: Christoph Scheuch
WebAssembly is reshaping how Python applications can be delivered - allowing fully interactive apps that run directly in the browser, without a traditional backend server. In this talk, I’ll demonstra...
By: Danial Senejohnny
*Causal inference techniques are crucial to understanding the impact of actions on outcomes.* *This talk shares lessons learned from applying these techniques in real-world scenarios where standard me...
By: Nathaniel Forde
Consumer choice models are an important part of product innovation and market strategy. In this talk we'll see how they can be used to learn about substitution goods and market shares in competitive m...
By: Carlos Trujillo
Traditional budget planners chase the highest predicted return and hope for the best. Bayesian models take the opposite route: they quantify uncertainty first, then let us optimize budgets with that u...
By: Jeroen Janssens
Polars is known for its speed, but its elegance comes from its use of expressions. In this talk, we’ll explore how Polars expressions work and why they are key to efficient and elegant data manipulati...
By: Yaseen Esmaeelpour
Optimizing user funnels is a common task for data analysts and data scientists. Funnels are not always linear in the real world. often, the next step depends on earlier responses or actions. This resu...
By: Avik Basu
As machine learning models become more accurate and complex, explainability remains essential. Explainability helps not just with trust and transparency but also with generating actionable insights an...
By: Wessel van de Goor
NiceGUI is a Python-based web UI framework that enables developers to build interactive web applications without using JavaScript. In this talk, I’ll share how my team used NiceGUI to create an intern...
By: Veit Schiele
Digital mapping has long been dominated by commercial providers, creating barriers of cost, complexity, and privacy concerns. This talk introduces Protomaps, an open-source project that reimagines how...
By: Dr. Juan Orduz
This talk presents variational inference as a tool to scale probabilistic models. We describe practical examples with NumPyro and PyMC to demonstrate this method, going through the main concepts and d...