In this talk\, we’ll explore the challenges of running Python in enterprise data teams and share lessons learned from building for PyData developers at Snowflake\, with an emphasis on flexibility\, performance\, and library compatibility. We'll focus on two key aspects: APIs and runtimes. First\, we'll look at how you can run pandas at all data scales using Modin\, and how this interoperates with other tools in the PyData stack. Then\, we'll discuss ways to manage runtime compatibility\, from customizing environments to working within notebook-based workflows.
\nSpeakers:\nSavannah Ostrowski\nSavannah Ostrowski is a Python Core Developer and product lead for Python Developer Experience and Notebooks at Snowflake. She helps maintain the new JIT compiler introduced in Python 3.13 and the argparse module in the Python standard library. Savannah is also a member of the broader Faster CPython team and serves on the Jupyter Foundation Governing Board on behalf of Snowflake.
\nA self-taught developer with a background in geospatial computing\, Savannah has built a career at the intersection of developer tools and open-source software. Before Snowflake\, she led product for Docker’s runtime\, working on foundational technology for the container ecosystem\, including Docker Engine (moby/moby) and Docker CLI. She previously worked at Microsoft on the Azure Developer CLI and was the product manager for the Pylance language server.
\nShe lives in beautiful Washington state with her husband and their three cats\, enjoying pottery and reading in her spare time.
\nDoris Lee\nDoris Lee leads Python developer experience across Snowflake's products. Previously\, Doris was CEO and co-founder of Ponder (acquired by Snowflake in 2023)\, the company behind the open-source project Modin. Doris received her Ph.D. from the UC Berkeley RISE Lab and School of Information in 2021\, where she developed open-source tools that help data scientists explore and understand their data. She received Forbes 30 under 30 for Enterprise Technology in 2023.
DTEND:20250515T163000Z LOCATION:Room 309 DTSTART:20250515T153000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] Enterprise-Ready Python for High-Performance Data Teams (Sponsor: Snowflake) TRANSP:OPAQUE UID:7c6a3a8e-cf58-5e71-8987-5a59385334f7 URL:https://us.pycon.org/2025/schedule/presentation/148/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: Accelerated Python: The Community and Ecosystem (Sponsor: NVIDIA)\nhttps://us.pycon.org/2025/schedule/presentation/149/\nPython is everywhere. Simulation\, data science\, and Gen AI all depend on it. Unfortunately\, the dizzying array of tools leaves a newcomer baffled at where to start. We'll take you on a guided tour of the vibrant community and ecosystem surrounding accelerated Python programming. Explore a variety of tools\, libraries\, and frameworks that enable efficient computation and performance optimization in Python\, including CUDA Python\, RAPIDS\, Warp\, and Legate. We'll also discuss integration points with PyData\, PyTorch\, and JAX communities. Learn about collaborative efforts within the community\, including open source projects and contributions that drive innovation in accelerated computing. We'll discuss best practices for leveraging these frameworks to enhance productivity in developing AI-driven applications and conducting large-scale data analyses.
\nSpeakers:\nJeremy Tanner\nJeremy talks to people who talk to computers about talking to computers.
DTEND:20250515T143000Z LOCATION:Room 315 DTSTART:20250515T133000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] Accelerated Python: The Community and Ecosystem (Sponsor: NVIDIA) TRANSP:OPAQUE UID:80798e70-401c-5194-a03a-d707995ba3d6 URL:https://us.pycon.org/2025/schedule/presentation/149/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: High-Performance Python: Faster Type Checking and Free Threaded Execution (Sponsor: Meta)\nhttps://us.pycon.org/2025/schedule/presentation/118/\nMeta's Commitment to the Python Community: Empowering Innovation and Collaboration
\nAt Meta\, we're dedicated to advancing the Python ecosystem through open-source contributions and community engagement. Our mission is to improve the tooling and runtime\, making the language more efficient\, scalable\, and accessible for developers worldwide.
\nIntroducing Pyrefly: A Scalable Type Checker for a Unified IDE Experience
\nWe're excited to introduce Pyrefly\, a new type checker designed with scalability in mind. Built from the ground up using Rust\, Pyrefly provides a faster and more efficient type checking experience\, enabling developers to write better code with confidence. With Pyrefly\, we aim to deliver a unified IDE experience power type hints and code navigation on a new type checking engine.
\nUnlocking Better Performance with Free-Threaded Python
\nIn collaboration with the Python community\, we've been working on making free-threaded Python (No-GIL) available in Python 3.13. This significant milestone allows developers to take full advantage of modern multi-core processors directly from Python. More recently\, our efforts have focused on improving the single-threaded performance of the free threading build\, ensuring that Python remains a top choice for developers seeking high-performance capabilities.
\nSpeakers:\nSam Gross\n-
\nNeil Mitchell\nProgrammer at Meta\, working on improving the Python developer experience.
DTEND:20250515T183000Z LOCATION:Room 315 DTSTART:20250515T173000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] High-Performance Python: Faster Type Checking and Free Threaded Execution (Sponsor: Meta) TRANSP:OPAQUE UID:dea2dfca-1957-5934-8fcf-5d473cee64eb URL:https://us.pycon.org/2025/schedule/presentation/118/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: Building AI Applications the Pydantic Way (Sponsor: Pydantic)\nhttps://us.pycon.org/2025/schedule/presentation/143/\nAI is becoming an increasingly common part of software development\, but best practices for building and maintaining AI-powered applications are still evolving. Many developers are experimenting with LLMs\, but figuring out how to structure AI applications effectively—let alone debug and monitor them—can be a challenge. The good news? AI development is just software development—with a few unique twists. You don't need to reinvent engineering principles to work with LLMs\, but you do need the right design patterns and development tools to build reliable AI applications efficiently. In this talk\, we'll share an opinionated blueprint for AI development in Python\, covering both PydanticAI\, an open-source AI agent framework\, and Pydantic Logfire\, an observability platform that helps you understand and debug your AI applications. You'll learn practical techniques for structuring LLM-powered systems\, tracking and evaluating model behavior\, and integrating AI features into larger software projects—using familiar tools and proven patterns. Whether you're already building AI applications or just curious about how best to approach them\, this session will give you a clear\, pragmatic foundation for writing AI-powered software in Python.
\nSpeakers:\nSamuel Colvin\nSamuel Colvin is a Python and Rust developer and creator of Pydantic. The Pydantic library\, which he created is downloaded over 300M/month and is a dependency of many GenAI Python libraries including the OpenAI SDK\, the Anthropic SDK\, Langchain\, AutoGPT\, instructor and LlamaIndex.
DTEND:20250515T163000Z LOCATION:Room 316 DTSTART:20250515T153000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] Building AI Applications the Pydantic Way (Sponsor: Pydantic) TRANSP:OPAQUE UID:3577af1c-295a-539f-91ff-f17ef3a95447 URL:https://us.pycon.org/2025/schedule/presentation/143/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: Real-World Problems Blockchain Actually Solves (and How to Code Them in Python) (Sponsor: Algorand)\nhttps://us.pycon.org/2025/schedule/presentation/150/\nIn this talk\, we'll zero in on real-world problems blockchain genuinely solves. We'll cut through the jargon and focus on when blockchain makes sense and when it doesn't.
\nEverything we build will use Python\, using libraries and patterns you already know\, plus a few lightweight tools to interact with the Algorand blockchain.
\nWe'll work through hands-on examples: coding trust into peer-to-peer payment systems for underbanked regions\, building fractional ownership for previously illiquid assets\, and creating self-sovereign digital identity systems that empower users with ownership of their credentials. These aren't hypotheticals—companies are running these solutions in production today\, and we'll break down how they do it.
\nExpect a session that meets you where you are: practical\, approachable\, and 100% Python. By the end\, you'll see where blockchain fits into your toolkit—not as a magic bullet\, but as a practical option for specific\, thorny problems.
\nSpeakers:\nGabriel Kuettel\nWith over a decade of experience spanning blockchain\, cybersecurity\, and web2 software engineering\, Gabe brings deep technical expertise and entrepreneurial spirit to the Algorand ecosystem. As a Developer Relations Engineer at the Algorand Foundation\, he bridges the gap between emerging technology and practical implementation. Previously\, he co-founded TxnLab and helped build NFDomains - the leading identity solution on the Algorand blockchain. Having worked with both early-stage startups and established enterprises\, Gabe leverages his diverse background to help builders navigate the full spectrum of challenges in blockchain development. He is committed to empowering developers through hands-on technical education and community building.
DTEND:20250515T183000Z LOCATION:Room 309 DTSTART:20250515T173000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] Real-World Problems Blockchain Actually Solves (and How to Code Them in Python) (Sponsor: Algorand) TRANSP:OPAQUE UID:33921e54-21da-5617-8c8e-27ab8e5716f6 URL:https://us.pycon.org/2025/schedule/presentation/150/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: 🐍 Python meets the crab 🦀 - Friendship at first sight? (Sponsor: Bloomberg)\nhttps://us.pycon.org/2025/schedule/presentation/151/\nPython's simplicity often comes at the cost of performance\, especially in computationally-intensive tasks. In contrast\, Rust enables one to write low-level code that takes full advantage of the underlying hardware. Furthermore\, Rust (just like Python) has a vibrant ecosystem with many great libraries. PyO3 (together with the maturin build back-end) allows you to easily integrate the two languages together and make use of the best of both.
\nSpeakers:\nBernát Gábor\nOver the years\, I have delivered 2 presentations + 1 workshop at PyCon US\; 2 presentation + 1 workshop at PyTexas\, 4 presentations at EuroPython\, 1 at PyCon UK\, and two talks at PyLondinium. My website (https://bernat.tech/presentations) contains links to the videos and slides for these presentations. I am also the author of the virtualenv/tox packages and a PyPA member.
DTEND:20250515T143000Z LOCATION:Room 316 DTSTART:20250515T133000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] 🐍 Python meets the crab 🦀 - Friendship at first sight? (Sponsor: Bloomberg) TRANSP:OPAQUE UID:dcf7bebe-2ae8-53d7-8569-e39a2aae958d URL:https://us.pycon.org/2025/schedule/presentation/151/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: Reviewing another year of security partnership between the PSF and Alpha-Omega\nhttps://us.pycon.org/2025/schedule/presentation/153/\nAlpha-Omega's mission is to protect society by catalyzing sustainable security improvements to the most critical open source software projects and ecosystems. Funded by Amazon AWS\, Google\, Microsoft\, and Citi\, Alpha-Omega has partnered with the Python Software Foundation to support two critical security-focused roles for the Python Ecosystem. Last year's talk with Seth Larson and Michael Winser was the origin story of this effort and showed the road ahead. This year's talk will be at least 50% more interesting and entertaining because we're adding Mike Fiedler. Together we have a lot to talk about.
\nMichael Winser is the co-founder of Alpha-Omega. Seth Larson is the Python Security Developer in Residence and Mike Fiedler is the PyPI Safety and Security Engineer.
\nSpeakers:\nSeth Michael Larson\nSecurity Developer-in-Residence and Fellow of the Python Software Foundation\, Minnesoootan
\nMichael Winser\nMichael Winser has been creating and delivering software applications since 1984. He has worked on everything from Internet Explorer and Google Cloud to the kitchen sink (well\, kitchen design software). Michael’s experience spans over 25 years at Google and Microsoft and more than a decade of startups. Today Michael helps organizations with product strategy\, developer ecosystems\, open source\, and software supply chain security.
\nWhen not playing with computers Michael enjoys wingfoiling\, skating\, skiing\, and spending time with his family.
\nMike Fiedler\nWith over three decades of experience as a professional engineer\, Mike has amassed a wealth of knowledge and expertise in his field. Throughout his career\, he has sought to learn from every colleague he's worked with\, and in turn\, has taught many others. He has held senior leadership roles at companies such as Datadog\, MongoDB\, LeafLink\, Warby Parker\, and Paribus (Capital One) to name a few.
\nMike has been a speaker at conferences since 2012\, and has been recognized for his contributions to the tech community with awards such as the Awesome Community Chef Award in 2016 and an AWS Container Hero since 2018.
\nCurrently working as the PyPI Safety &\; Security Engineer at the Python Software Foundation\, he devotes his free time to working on open source tools\, learning new technologies\, and volunteering as a roller derby referee. With a holistic view of systems and software and a passion for problem-solving\, Mike helps others navigate the complexities of the tech world.
\nHe can be found on Mastodon\, GitHub\, or wearing stripes at a roller derby game near you.
DTEND:20250515T203000Z LOCATION:Room 309 DTSTART:20250515T193000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] Reviewing another year of security partnership between the PSF and Alpha-Omega TRANSP:OPAQUE UID:5c2b23de-4bad-58ee-a4b3-f22f3b9cfd7d URL:https://us.pycon.org/2025/schedule/presentation/153/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: sponsor-workshop\n\n DTEND:20250515T163000Z LOCATION:Room 315 DTSTART:20250515T153000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] sponsor-workshop TRANSP:OPAQUE UID:c64e6ce6-4549-5b73-ab53-6746ec8714af END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: DataComPy - Dataframe Comparisons made Explicit (Sponsor: Capital One)\nhttps://us.pycon.org/2025/schedule/presentation/73/\nDataComPy is a widely used validation tool with over 1.1 million monthly installations\, written to quickly and comprehensively compare a pair of dataframes. Designed to help make differences between schemas and data clear and explicit\, DataComPy generates a comprehensive report at the completion of all comparisons\, providing useful metrics such as match percentages\, maximal differences\, and sample mismatches between comparable columns. In addition\, it supports various forms of input data types for both native (Pandas\, Polars\, Spark\, Snowpark) and indirect (Dask\, Ray) comparisons. It also supports comparison of certain types of database tables\, including Snowflake and DuckDB. Over the course of the presentation\, we'll be delving further into how DataComPy works\, what features it provides\, and what types of practical use cases it is designed to help address.
\nSpeakers:\nAkshay Gupta\n-
\nRaymond Haffar\nUWaterloo Comp Eng undergrad\, data science @ Capital One. Interested in building practical and resilient solutions for data tooling!
DTEND:20250515T183000Z LOCATION:Room 316 DTSTART:20250515T173000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] DataComPy - Dataframe Comparisons made Explicit (Sponsor: Capital One) TRANSP:OPAQUE UID:4ffb1b16-8d69-5ec6-bd66-ce11767a98e1 URL:https://us.pycon.org/2025/schedule/presentation/73/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: Building Scalable AI Tool Servers with Model Context Protocol (MCP) and Heroku (Sponsor: Heroku)\nhttps://us.pycon.org/2025/schedule/presentation/3/\nLarge Language Models (LLMs) become vastly more powerful when given the ability to call external tools to gather information and take real-world actions - such as querying APIs\, modifying databases\, or kicking off workflows. This talk explores how to build and scale these tool servers using Python and the Model Context Protocol (MCP).
\nMCP is an open-source protocol that provides a standardized request format and response structure for LLMs interacting with external tools\, ensuring consistency while allowing flexible execution under the hood. We’ll walk through implementing an MCP-compliant tool server in Python\, covering topics like transport types\, the connection lifecycle\, and best practices.
\nLLM tool servers must handle increasing traffic efficiently\, requiring strategies for load balancing\, container orchestration\, and cloud deployment. We’ll discuss scaling Python services horizontally using load balancing and container orchestration. This includes practical considerations for deploying on 12-Factor App platforms like Heroku.
\nThrough live coding\, we’ll implement\, deploy\, and scale an MCP-compliant tool server using Python. We’ll also demonstrate how an LLM can interact with MCP tool servers\, enabling you to build powerful\, API-driven AI agents.
\nAttendees will gain hands-on knowledge of building\, deploying\, and scaling Python-based MCP tool servers and AI agents\, made simple with Heroku’s streamlined deployment process.
\nSpeakers:\nHillary Sanders\n-
\nKen Alger\n-
DTEND:20250515T203000Z LOCATION:Room 315 DTSTART:20250515T193000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] Building Scalable AI Tool Servers with Model Context Protocol (MCP) and Heroku (Sponsor: Heroku) TRANSP:OPAQUE UID:bf8d3ce7-6778-5d87-a7f9-67e16dabc7c3 URL:https://us.pycon.org/2025/schedule/presentation/3/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: Evolving Django: What We Learned by Integrating MongoDB (Sponsor: MongoDB)\nhttps://us.pycon.org/2025/schedule/presentation/142/\nAt MongoDB\, we have several Django enthusiasts who have jumped at the idea of backing a long-term solution to combining MongoDB and Django. Having historically provided support for SQL-based open source frameworks like Entity Framework in .NET/C#\, Doctrine in PHP\, and many more\, we are familiar with the territory.\nWe're happy to say we've successfully created a MongoDB Backend Library for Django and want to share all that we've learned kitting out a new NoSQL backend for a traditionally SQL framework including how we believe we have influenced -- and will continue to influence -- changes in the core Django library.
\nSpeakers:\nAnaiya Raisinghani\nAnaiya Raisinghani is a passionate Developer Advocate at MongoDB\, where she empowers developers to turn their quirkiest dreams into reality with AI and Python. With her background in Computational Linguistics and Industrial and Systems Engineering\, she is all about exploring the niche between fun and useful by helping people build playful\, creative applications that can actually fit into real life (even through the chaos of it all!). When she's away from her laptop\, you can find Anaiya hanging out with her favorite coworkers (her two cats) or exploring all the fun brunch spots NYC has to offer.
DTEND:20250515T143000Z LOCATION:Room 309 DTSTART:20250515T133000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] Evolving Django: What We Learned by Integrating MongoDB (Sponsor: MongoDB) TRANSP:OPAQUE UID:31c1fa49-8635-5943-b57e-c7e667e181db URL:https://us.pycon.org/2025/schedule/presentation/142/ END:VEVENT BEGIN:VEVENT DESCRIPTION:Section: sponsor-presentations\nKind: sponsor-workshop\nName: Build modern Python apps on Azure (Sponsor: Microsoft)\nhttps://us.pycon.org/2025/schedule/presentation/140/\nFor software engineers today\, developing Python apps and getting them to the cloud can be a serious hassle. Join us to explore a streamlined end-to-end experience of developing cloud-ready Python applications with Microsoft technologies!
\nWe'll cover how to build and deploy applications to Azure that use modern async frameworks\, generative AI\, and open-source databases like PostgreSQL.
\nBy the end\, you'll learn how save time and supercharge your development workflows with fan-favorite Python developer tools like VS Code\, our Python extension\, and GitHub Copilot - all without leaving your IDE!
\nSpeakers:\nPamela Fox\nPamela Fox is a human that loves to learn\, teach\, and create. She's currently a Cloud Advocate in Python at Microsoft\, where she helps developers use Python with Azure\, VS Code\, and GitHub.
\nOn the teaching front\, Pamela has taught computer science at UC Berkeley and volunteered in bay area classrooms as part of the TEALS\, GirlsWhoCode\, and CoderDojo organizations. She also started the SF chapter of GirlDevelopIt\, where she taught dozens of web development workshops.
\nPamela's been in the tech industry for 15+ years now\, starting with her first role at Google as one of their first developer advocates. She went on to be an early full-stack engineer at Coursera and spent many years after at Khan Academy\, both as an engineer and the creator of the computer programming content.
\nRohit Ganguly\nRohit is a Python enthusiast and Product Manager at Microsoft working primarily on Azure Developer Experience and the Azure SDK for Python.
\nThis will be Rohit’s third PyCon US\, attending in 2023\, 2024\, and speaking at the documentation summit at PyCon US 2024.
\nRohit’s interests in Python include web app development\, community organization\, responsible AI\, and all aspects of developer experience from package management to documentation.
\nAs a proud Pitt alum\, contributor to the PittAPI Python package\, and former Microsoft Pittsburgh community member\, Rohit is excited to bring his love for Pittsburgh and Python to PyCon US 2025.
\nYou can find Rohit online at https://rohit.info.
DTEND:20250515T203000Z LOCATION:Room 316 DTSTART:20250515T193000Z STATUS:CONFIRMED SUMMARY:[sponsor-workshop] Build modern Python apps on Azure (Sponsor: Microsoft) TRANSP:OPAQUE UID:cfff2af7-ed85-5f59-8246-88bfc5a0d398 URL:https://us.pycon.org/2025/schedule/presentation/140/ END:VEVENT END:VCALENDAR