Talk Python To Me

Danny Yang, a Meta engineer, joins Abby Mitchell and Kyle Into to explore Pyrefly, a groundbreaking, Rust-based type checker and IDE language server designed for fast Python typing. They discuss how Pyrefly significantly improves developer experience by reducing check times in massive codebases like Instagram from minutes to seconds. The team emphasizes Pyrefly's open-source nature, aiming to benefit the broader Python community. They also highlight how features like inference and type hints help both newcomers and experienced developers streamline their workflows.

Quynh Truong, a developer advocate at Nixler and founder of CodeCut.ai, shares her wealth of knowledge on Python and data science. She delves into the art of crafting bite-sized tips, helping busy data scientists boost productivity. The discussion covers open-source tools, the balance between notebooks and scripts, and how to achieve reproducibility in workflows. Quynh also highlights the benefits of using Loguru for logging and Git for version control, making data projects more trustworthy and manageable.

Tori Westerhoff leads operations for Microsoft's AI Red Team, focusing on high-risk generative AI systems, while Roman Lutz develops automation tools like PyRIT for enhanced adversarial testing. They discuss the growing threat landscape of prompt injection and the vulnerabilities facing LLM applications. Tori and Roman explore how automation can revolutionize red teaming, detailing their framework's ability to streamline testing and improve security. Insights on integrating human oversight and minimizing cognitive load highlight the delicate balance between automation and expert judgment.

In this episode, Charlie Marsh, Founder and CEO of Astral, shares insights on his latest project, pyx, a revolutionary hosted Python registry. He explains how pyx enhances package management by allowing for faster and more reliable installations through smart server-client communication. The conversation also dives into the challenges of GPU-aware packaging, particularly with PyTorch, and discusses security measures and the relationship between pyx and PyPI. Prepare for a frictionless development experience!

In this engaging discussion, Matthew Rocklin, the creator of Dask and co-founder of Coiled, and Nat Tabris, a staff software engineer at Coiled, delve into the complexities of running Python workloads at cloud scale. They unveil the reality of outgrowing local data processing, showcasing a live demo of spinning up a 1,000-core cluster. The pair shares savvy insights on choosing between pandas and Polars, optimizing costs, and the benefits of ephemeral clusters. Tune in for real-world lessons on navigating the cloud!

Simon Willison and Adrian Holovaty, co-creators of Django, along with Jeff Triplett from the Django Software Foundation, reflect on the framework's evolution over 20 years. They delve into Django's origins in journalism, its powerful community culture, and the impact of open source. The trio discusses modern enhancements like async features and API development, all while keeping Django's inclusive spirit. They also explore its role in AI, the significance of initiatives like Django Girls, and future challenges for web development. A compelling look at Django’s legacy and what lies ahead!

This discussion features Matt Makai, VP of Developer Relations at DigitalOcean and creator of Full Stack Python, who dives into the world of agentic AI programming. He breaks down how coding assistants are evolving from simple autocomplete tools to collaborative partners. Topics include managing technical debt, the quirks of AI tools like Cursor and Claude Code, and effective git workflows for AI-driven changes. Matt shares insights on why typing less can lead to more bugs and the future of open-source agents, highlighting the shift towards developers as system editors.

Ben Zaitlen, a system software manager at NVIDIA with over 15 years in the Python ecosystem, discusses revolutionary advancements in GPU-accelerated data science. He unpacks RAPIDS, an open-source toolkit that supercharges popular libraries like pandas and scikit-learn. Listeners learn about the challenges and triumphs of GPU integration, including speed boosts that reduce hours of work to mere minutes. The conversation also covers scaling techniques for large datasets and the exciting future of using GPUs to revolutionize AI workloads.

Mason Egger, a developer educator at Temporal and president of the PyTexas Foundation, chats about making Python applications crash-proof with the Temporal framework. He explains how Temporal manages resilient workflows and simplifies error handling, allowing seamless execution during failures. The discussion also touches on organizing Python conferences and the shift in community engagement, especially post-COVID. Plus, he shares insights into managing budgets in data science and the open-source landscape of Temporal, highlighting its benefits for developers.

Seth Michael Larson, a security expert and Python blogger, shares his insights from the closed-door Python Language Summit 2025. He dives into critical discussions about Python's future, covering topics like the need for ARM builders in GitHub CI and the innovative integration of Rust for improved memory safety. Seth also addresses challenges with thread safety, the implications of immutability, and Python's governance dynamics. With excitement for upcoming features in Python 3.14, he provides a glimpse into evolving development opportunities in the community.