Rosa Marie Keller
As the world is being reshaped through the rise of advanced AI technologies, governments seek their place in the arena. This talk explores how German government institutions adapt to these changes by focusing on three key areas of action: Adoption, Regulation, and Up-/Reskilling.
Rodrigo Girão Serrão
Rodrigo has been working full-time on FOSS for 525. Join him as he shares some of the key lessons he learned during that time.
A conceptual and practical introduction to Hilbert Space Gaussian Process (HSGP) approximation methods
Dr. Juan Orduz
In this talk, we explore a new method to approximate Gaussian processes using spectral analysis methods, known as the Hilbert Space Gaussian process (HSGP) approximation.
A Retrieval Augmented Generation system to query the scikit-learn documentation
Facing observability challenges in Python microservices? 🐍 ☁️ Learn how #OpenTelemetry can streamline your system monitoring in cloud environments. We're diving into its Python SDK integration, showcasing real-world implementation for enhanced efficiency.
Shirli Di-Castro Shashua
Excited to share my journey at the intersection of healthcare and AI! Join me as I unveil the game-changing 'chatting with my medical database' feature, powered by LLMs. Discover how AI, SQL, and GraphQL team up to revolutionize doctors' access to crucial patient data.
Understanding protest movements through multi-dimensional geo-social media data analysis.
Gear up for 'Async Awaits: Mastering Asynchronous Python in FastAPI' 🚀. Discover the power of async/await in #Python and learn how to supercharge your web apps with #FastAPI. Perfect for developers eager to excel in modern web development! 🌐 #TechTalk #AsyncPython #WebDev
Asyncio based code is still not the go-to solution for many when starting new Python projects. Let me show you a simple and attractive asyncio based approach for console applications to address that.
Automate Distributed ML Pipelines with DVC and Ray for Computer Vision and Generative AI Applications
Join our talk at PyCon DE & PyData Berlin to master 'Automating Distributed ML Pipelines with DVC & Ray' for advanced applications in Computer Vision and Generative AI.
Hector Hernandez, Pascal Wenker
Dive into the fusion of human intelligence & AI at Babbel! Explore our journey in crafting an AI-aided content creation tool for personalized language learning. #LanguageLearning #AI #LLMs
Is your code secure enough? Find out by doing Threat Modeling!
"Beyond Deployment: Exploring Machine Learning Inference Architectures and Patterns" - uncover the ML inference strategies that power StepStone's success and learn to scale your models with confidence!
Laysa Uchoa, Yuliia Barabash
If you're keen to move beyond basic optimizations and truly understand what happens under Python's hood during application execution, this session is for you.Boost your app to Flash speed by mastering performance tricks by @laysauchoa and @yuliia_barabash
Exploring the need for fairness in machine learning in indirect human impact areas, proposing solutions for challenges in unstructured data.
Wolf Vollprecht, Ruben Arts
pixi is an awesome new package manager that combines the power of conda & pip.
Dr. Tania Allard
Come learn how you can make your tools and documentation more accessible and usable by disabled end-users and contributors
Meet Vocode, an open-source framework for AI voice agents. We'll cover its integration of speech APIs, LLMs, and conversation etiquette in real-world applications. #OpenSource #AI #VoiceAgents
Can ChatGPT convince you to get a COVID19 vaccine? Comparing ChatGPT to an expert system - which one is more convincing?
Dr. Lisa Andreevna Chalaguine
Comparison between ChatGPT and Domain-Specific Expert System - which is more convincing in getting people to vaccinate against COVID-19?
Dr. Mirza Klimenta
Content Recommendation with Graphs: From Basic Walks to Neural Networks
Miguel de Benito Delgado
pyDVL is the library for data valuation in machine learning. Use it to clean, prune and select your data to improve model performance.
Current state of deploying Python applications to Android with a comparison of the current available frameworks.
Drive performance with Automation : Unleash the Power of Python CDK on AWS for Infrastructure Transformation
Deploy your Infrastructure error-free on AWS using Python CDK.
Understanding and repairing garbled text (Mojibake) with Python
Improve the efficiency of your balcony power plant with Python
How do you detect an activity change from smartwatch data, abrupt climate transitions, or server failures? If you work with long time series, you will inevitably have to detect changes. This talk describes how to do that using ruptures (https://github.com/deepcharles/ruptures).
Hi all! I’ll discuss Zarr, an open-source data format for storing chunked, compressed N-dimensional arrays. We’ll explore the Zarr ecosystem from fundamentals to V3.0 and beyond. If you’re interested in storing massive datasets, please attend my talk. Thanks!
Flix CitySnap: How we use GenAI and not only to collect captivating images for cities and confirm their locations
Flix’s buses operate in more than 5,000 cities around the world. In this talk, we will demonstrate how we leverage state-of-the-art models, including Generative AI, to automatically collect images for thousands of cities and verify their locations. Our comprehensive end-to-end pi
From idea to production in a day: Leveraging AzureML and Streamlit to build and user test machine learning ideas quickly
How to leverage AzureML, automated machine learning, and Streamlit to build and test machine learning apps quickly? Find out about our favorite Hackathon stack and walk away with some code to build and user-test your own machine learning ideas fast.
From LLM as oracle to LLM as translator - our journey from theory to everyday’s practice in a corporate setting with dmGPT (and python)
Emma Haley, Niklas Lederer
Learn how dm-drogeriemarkt put LLMs in production and implemented a day-to-day assistant for everyone.
Uwe L. Korn
Only ever used pandas.to_parquet? Would you like to know what it does and how you could make it even more efficient? Find out about Parquet's newest features in this talk.
Green Software Engineering and the concept of sustainability
Building a high performance streaming data website with Perspective
Zoran Štefanić, Boris Gomaz
Uncovering protein motion by leveraging awsome Python tools.
If I want a text classifier in 2024, what should I choose -- LLMs or pre-LLM era classifier? Is the answer the same for English and other languages? We will provide the recipe how to find your classifier depending on the target language and data availability.
Paula Gonzalez Avalos
Is it possible to find a Leadership role rewarding as a creative hands-on work driven person? In this talk I’ll talk about my journey from Data Scientist into management and how - after a transition period - I learned to embraced and ultimately really like the new Head roles.
Have you ever tried to install a different Python version on Ubuntu or tried to upgrade your current one? This talk will explain why this is hard, and introduce the available options in-depth, and give an outlook what Ubuntu could do in the future to make our lives easier.
In the ever-evolving landscape of software development, crafting code that not only functions flawlessly but also operates at peak performance is a skill that sets exceptional developers apart. This talk delves into the art of optimizing Python code, exploring techniques and stra
RAG handles common issues in LLM applications, but a dependable system requires one more step: a fallback mechanism. Explore the implementation of LLM applications with diverse fallback techniques using Haystack in Bilge's insightful talk.
Learn how agent-based reasoning can improve baseline performance on LLMs on math benchmarks by 30%.
Marc Palyart, Kateryna Budzyak
GenAI is sometimes touted as the panacea for all natural language processing (NLP) tasks. This presentation explores a practical text classification scenario at Malt, highlighting the practical hurdles encountered when employing GenAI and how we overcame these obstacles.
Jupyter Notebooks as a platform to create books, magazine and newspaper articles, and other print media
Cement is responsible for about 8% of worldwide carbon emissions. Let me tell you about lessons learned decarbonizing the industry with Machine Learning.
Azan Bin Zahid, Syed Ansab Waqar Gillani
Unlocking the power of parallel unit testing with Python and Django! 🚀
Deploy ML models to microcontrollers - using just the Python you already know! A practical presentation on how to use the emlearn Machine Learning package and MicroPython to build smart sensor systems.
Discover how Italy's fastest-growing tour operator unlocked transformative marketing insights using Bayesian models, domain knowledge, Python, and PyMC. Gain valuable tips to develop similar models for your business.
Hierarchical structures are everywhere in business! Ever wondered how trickle-down management missteps drive non-response bias in Employee Engagement? Model the hierarchy, model the missing-ness with PyMC!
"Chris Lattner's Mojo promised to revolutionize AI dev with 68k times speed & Python ease. One year later, we dissect its reality—can it outshine Rust & Julia, or is it just hype? #PyData #MojoLanguage #PythonCousin"
"Discover PyFixest, a Python library inspired by R's 'fixest'! 🐍📊 It speeds up regression model estimation with high-dimensional fixed effects, offering tools for robust inference and efficient post-processing. Perfect for AB Tests and event studies! #Python #DataScience #PyDat
Learn the differences between online and offline ML and get started on your online ML journey today with River, an open source Python ML library
Data stories are the bridge between complex data insights and business impact! Transforming data into clear, actionable narratives is no easy task. That's where Streamlit and Snowflake come in - a duo for creating visually engaging, interactive data applications.
No more robots. No more glowing brains. It's time for Better Images of AI
Florian Jetter, Patrick Hoefler
Dask DataFrame is fast now - The re-implementation of DataFrames in Dask is fast, reliable and fun.
Marcel Kurovski, Steffen Klempau
Personalizing Carousel Ranking on Wolt's Discovery Page with a Hierarchical Multi-Armed Bandit Approach
Learn how to use Polars for time series: what it does, and it doesn't do (and what to do about that!)
Humans are complex. As developers, we wanna ignore that ... but to do our job right, we cannot.
Imagine a data lab in a federal ministry wants to publish code and share it - how long could it possibly take? Take a guess and come to the talk to find out.
Put your RAG to the test: Component-per-component evaluation of our LLM-powered airplane manufacturing assistant
This talk discusses the topic of component-wise evaluation of RAG-based applications on the example of a digital shopfloor assistant developed at Airbus using open source Python libraries paired with Google Vertex AI.
Alexander CS Hendorf
A joyful journey through a decade in the Python community: contributing, leadership, magic, personal and professional growth!
Python 3.12 got a new debugging and monitoring API. Learn in this talk why it will change debugging forever.
What if writing software would be more like building with LEGO bricks, and have a more playful developer experience. Polylith solves this in a nice and simple way. I’ll walk through the simple Architecture & the Developer friendly tooling for a joyful Python Experience.
While developing a Proof-Of-Concept RAG is widely accessible, creating a performant version that truly adds value remains a challenge. We willl share our learnings from building a RAG for a medical company, aiding doctors with drug documentation.
Reinforcement learning (RL) has untapped potential for industry. This talk presents Tianshou, an open-source library with interfaces facilitating both industrial RL applications and new algorithm research, with the dual goals of accelerating progress and adoption.
How we made our code more readable by replacing intricated callback-based code with much more readable generators. Also a great example of using python in an unexpected domain: realtime audio processing for live music!
How Pydantic's strong data validation based on type annotations can help build a strict spec for your configuration format, catch misconfiguration early, and mitigate the aforementioned problems with a non-formalized configuration management system.
Safeguarding Privacy and Mitigating Vulnerabilities: Navigating Security Challenges in Generative AI
How to protect and secure your data will using LLM and Generative AI. Your data privacy and security is importance.
Select ML from Databases: New workflow for building your machine learning models using the capabilities of modern databases
🚀 Streamlining Python Development: A Guide to a Modern Project Setup. We'll explore tools like Hatch, mypy, and ruff, and dive into efficient project setups. Perfect for Python beginners!
Learn how continuous integration/delivery boosts project resilience to Python updates and packaging changes. Automate for peace of mind, better code, and seamless collaboration.
Alexander Meier, Daria Mokrytska
Exploring the Cold Start problem in Demand Forecasting. Overcoming difficulties faced by Time Series and ML models. Uncover practical techniques and a systematic evaluation framework for effective forecasting.
Dr. Christian Leschinski
Diving into the world of recommendations! Learn how we overcome the special challenges of recommending news at Axel Springer NMT by using simple statistics.
That’s it?! How to deal with unexpected data quality and quantity issues
Are we heading further into a black box era with larger and larger models, obscured behind APIs controlled by big tech monopolies? I don’t think so, and in this talk, I’ll show you why.
Feature Stores have become an important component of the machine learning lifecycle. They have been particularly pivotal in bridging the gap between data engineering and machine learning workflows(experimentation, training and serving). This talk will explore Feature Stores with
Gunar Maiwald, Tobias Senst
idealo.de presents its holistic approach for testing in machine learning
Learn to make practical decisions in data engineering with Python's vast ecosystem. Avoid blindly following market guidelines and consider the reality of your situation for better performance and architecture
Anuun, Hiba Jamal
A new wave in data engineering! From tangled tasks to sleek, plug-and-play magic in data pipelines. 🚀
Exploring the integration of Python into Computer Aided Engineering (CAE) workflows: While shell scripts are ubiquitous, they face challenges in CAE, particularly in Computational Fluid Dynamics (CFD). Python + DVC provides a robust alternative to manage simulations at scale.
Confidently ship changes to your SQL data model by validating logic with a SQL unit testing framework. Our framework, powered by pytest, ensures robust deployments, making data model evolution a breeze.
Unlock the Power of Dev Containers: Say goodbye to the hassle and build a Consistent Python Development Environment in Seconds!
This talk demonstrates how we can intuitively analyze political debates using knowledge graphs created using LLMs.
Have you always wondered when and how to start coding with your kid? This talk will shed light on all your questions, giving concrete advice on how to get started.
Explore a variety of software testing methodologies, from Manual and A/B Testing to Unit and Performance Tests. Learn how to make informed decisions for enhanced software delivery, matching the unique needs of your projects.
🕵️ Calling all Spythonistas: Do you need a live speech transcription and summarization "secret agent" that works offline by running on your own hardware? Learn about the latest trends in open-source GenAI tools and how to build your own in this light-hearted talk.
Would you rely on ChatGPT to dial 911? A talk on balancing determinism and probabilism in production machine learning systems
Nicolas Guenon des Mesnards
Combining deterministic and probabilistic models to boost ML system robustness. Learn their benefits and applications in AI, backed by NLP case studies. #AIInnovation #MLTech #RobustAI
Antonia Scherz, Roman Krafft
You shall not pass! Make your Python code strong against attacks.
So, just how much data did ChatGPT memorize? Let's find out!
Django - the new trend in creating asynchronous Python microservices.
🌳 The taller the tree, the harder the fall. Determining tree height from space using Deep Learning and very high resolution satellite imagery 🛰️
🌳 The taller the tree, the harder the fall. Measuring tree height from space using Deep Learning 🛰️