Talk Python To Me

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.

Join Python legends Barry Warsaw, Paul Everitt, Carol Willing, and Brett Cannon as they share hilarious and heartfelt stories from Python's colorful history. Discover how the quirky name linked to Monty Python and the evolution from a niche language to an AI powerhouse have shaped the community. Enjoy anecdotes from the very first PyCon and hear about Python's growing presence in the banking sector. Their reflections celebrate the camaraderie that defines the Python community and foster a spirit of mentorship and inclusivity.

Join Brandt Bucher, a Python core developer at Microsoft, as he dives deep into the development of a JIT compiler for CPython. Discover how this initiative differs from JITs in languages like C# and Java. The conversation highlights recent performance advancements and the delicate balance between speed and memory efficiency. Brandt discusses integer performance optimizations, error tracking with Sentry, and the collaborative dynamics between the JIT compiler and the adaptive interpreter, all crucial for modern Python's evolution.

Catherine Nelson, a self-employed data scientist and author of 'Software Engineering for Data Scientists,' discusses vital techniques for transitioning from local data science notebooks to robust production workflows. She shares insights on effective coding practices, the challenges of machine learning integration, and organizing Python projects for scalability. Additionally, Catherine highlights the dual nature of notebooks, emphasizing their role in project exploration versus production needs. Her personal journey reflects a rich intersection between software engineering principles and data science.

Christopher Trudeau, a Python educator and author, dives into the impressive capabilities of the Polars library for data science. He discusses essential tools like Patito for data validation and polars_encryption for adding security. The conversation explores Polars' integration with web frameworks like Django and Flask, its lazy evaluation for optimized performance, and innovative features such as DataFramely. Trudeau emphasizes the importance of data integrity and effective error tracking, providing insights for enhancing data workflows.

Bryce Adelstein Lelbach from NVIDIA, a pioneer in programming language evolution, discusses the transformative use of GPUs in modern computing, moving beyond traditional graphics. He highlights advancements in Python SDKs that allow pure Python coding for GPU programming, making it more accessible. The conversation also delves into the evolution of ARM processors, the implications of Python 3.13's removal of the global interpreter lock, and essential algorithms for high-performance tasks, paving the way for more efficient data science and machine learning applications.

Glyph, an independent software developer and founder of the Twisted project, dives into programming your computer with Python. He discusses tools for automating boring tasks and building desktop apps that enhance productivity. The conversation highlights using local computing power over cloud services, the complexity of integrating with Windows' APIs, and valuable Python libraries for macOS. Glyph also emphasizes ethical AI use, open-source contributions, and the importance of community collaboration in developing applications.

Sydney Runkle, an open-source developer at LangChain, dives into the world of agentic AI workflows using LangGraph. She explains how integrating agentic frameworks can supercharge Python applications with large language models (LLMs). The discussion highlights the balance of AI-driven workflows, transparency in software development, and the importance of context and memory in enhancing user interactions. Runkle also shares insights on developing intelligent agents and managing application interrupts, showcasing practical examples that bridge creativity with responsibility in AI.

Charlie Marsh, the founder of Astral, and Carl Meyer, a Python community member and Astral employee, delve into their exciting new type checker, TY. Formerly known as Red-Knot, TY aims to revolutionize type checking in Python with superior usability and performance. They discuss the importance of type annotations for better code clarity and reveal how TY addresses common developer challenges. Additionally, they emphasize ongoing innovations in Python tooling and the need for standardization in the Python type system.

Dave Peck, a freelance software developer, joins Jim Baker, a veteran in Python and Jython, and Paul Everett, head of developer advocacy at JetBrains, to discuss the upcoming T-strings feature in Python. They delve into the evolution of string formatting, highlighting the security improvements of T-strings over f-strings, especially against SQL and HTML injections. The trio explores practical applications in web development, optimized templating, and the potential of T-strings for advanced data science workflows, all while sharing insights on community collaboration in Python's growth.