Michael Kennedy interviews Python maintainers on packaging, security, web tools, and AI.
Talk Python To Me follows Python’s working edge through conversations with builders, maintainers, and technical contributors. Recent episodes move from OWASP security updates and packaging PEPs to LangChain agents, Rust-backed Python tooling, static sites, monorepos, and typing governance.
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Talk Python To Me is a weekly interview-format podcast hosted by developer and entrepreneur Michael Kennedy, who conducts long-form technical conversations, typically 60 to 80 minutes, with guests from the Python open-source community. Most episodes are one-on-one interviews with a package author, maintainer, or specialist walking through a specific tool, proposal, or problem, though the show periodically runs panel episodes with multiple guests, including a year-end review featuring several Python core developers. Recurring subject areas include packaging and environment tooling (UV, pyproject.toml, wheel formats, monorepo workflows), web frameworks and hypermedia techniques, application and supply-chain security, documentation tooling, and the integration of LLMs into Python applications through agent frameworks and API design patterns. Guests typically include maintainers of widely used packages, corporate open-source engineers, security specialists, and current or former Python core developers. Episodes reference specific PEPs, GitHub projects, and named companies such as Astral, JetBrains, Microsoft, and Meta, grounding discussion in concrete current developments rather than general programming advice. Michael Kennedy is a Python Software Foundation fellow and frequently connects episode topics to broader open-source governance and sustainability questions, including funding models like sponsorware. Sponsor reads for tools such as Sentry and Temporal appear within episodes but are separate from the interview content. The tone is educational and conversational, with hosts and guests working through technical trade-offs in some detail rather than delivering high-level summaries or news headlines. Because many episodes center on a single new tool, library, or proposal, the show functions as a running technical record of changes in the Python ecosystem. Listeners looking for implementation-level detail rather than introductory tutorials are the best fit.
Made for: Working Python developers, data scientists, and engineering leads who want detailed, tool-level coverage of packaging, security, and AI integration in Python.
What sets it apart: Unlike broader software-engineering interview shows, it stays specifically within the Python ecosystem and pairs tool creators with PEP-level technical discussion rather than career or industry-trend framing.
Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
Based on 6 episodes we listened to · September 2026
Michael Kennedy turns Python's changing tools, security concerns, and AI frameworks into concrete engineering decisions.
Talk Python To Me follows Michael Kennedy into the decisions underneath working Python systems. Through interviews and panels, he keeps the conversation close to implementation: where an LLM call belongs in an application, how a cache stays consistent, and what a server-driven…
Michael Kennedy turns Python's sharp edges into questions you will be glad someone asked before deployment.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A practical OWASP update for Python developers who want security advice tied to real web app failure modes.
Talk Python To Me treats the 2025 OWASP Top 10 as a developer checklist, not a security poster. Michael Kennedy brings Tanya Janka back to walk through the updated list, with supply chain attacks, exceptional condition handling, hardening, patching, and misconfiguration tied to…
A clear look at WheelNext's push to make Python installs hardware-aware without puzzle-book setup pages.
Python packaging gets a useful pressure test here: what happens when compiled wheels still target old CPU assumptions, while users want AVX2, GPU support, and installs that do not require special index URLs.
A practical Python-side look at LangChain's Deep Agents and the harness that turns LLMs into planning, tool-using agents.
Deep Agents makes agent building feel less like magic and more like Python infrastructure. Michael Kennedy and Sydney Rinkle focus on the harness around the model: planning tools, file system access, sub-agents, system prompts, memory loaded into those prompts, middleware hooks,…
A practical maintainer story about turning MKDocs ecosystem pressure into a faster Rust-backed static site generator.
Zensical is about documentation tooling when a side project grows into infrastructure. Martin Donoff's Material for MKDocs had become important enough that a planned MKDocs 2.0 direction could have broken Material and hundreds of plugins.
A practical Airflow case study on making a huge Python monorepo less painful with uv and modern packaging.
Talk Python To Me turns Apache Airflow's monorepo into a useful field report on modern Python packaging at scale. Michael Kennedy sets up the episode around a production codebase with more than a million lines of Python and over a hundred subpackages, then digs into how Airflow…
A focused Datastar pitch for Python web developers who want HTMX-style simplicity without bolting on separate interactivity tools.
Talk Python To Me frames Datastar around a familiar pain point for Python web developers: HTMX makes server-driven HTML feel refreshingly simple, until richer interactivity and client-side state push teams toward AlpineJS as a second moving part.
A grounded Python year-end panel on uv, packaging trust, and the tradeoff between smoother tools and hidden machinery.
Talk Python To Me's 2025 year in review sounds like a working conversation from inside the Python ecosystem. Michael Kennedy brings together Barry Warsaw, Brett Cannon, Gregory Kampfhammer, Jody Birchall, Reuven Lerner, and Thomas Worders to talk through what mattered, with…
A practical Python conversation about treating LLM calls as manageable, observable parts of an application.
Python apps with LLM building blocks treats model calls as ordinary production dependencies: API calls with boundaries, monitoring, caches, and a real question of whether they belong in the architecture at all.
Long-form interviews on AI coding agents, infrastructure, and security, plus a recurring SED News roundup.
Founders and engineers on AI coding agents like Claude Code, and supply chain security.
Stack Overflow's Ryan Donovan interviews founders and engineers on AI agents, protocols, and dev tools.
Michael Kennedy and Brian Okken run down the week's Python tooling, typing, and packaging news.
Matt Stratton interviews DevOps practitioners on security, platform engineering, and trusting AI-written code.
Talk Python To Me episode 545, recorded April 8th, 2026, focuses on Tanya Janka’s walk-through of the 2025 OWASP Top 10 and why it was released on December 31st, 2025.
For Python packages with compiled code, wheels are still pinned to old CPU assumptions.
Raw chat is the small version.
Documentation tooling can hit a maintenance cliff fast.
This episode explores Monty, a Python interpreter written in Rust designed to securely and efficiently run LLM-generated code, featuring an interview with Samuel Colvin, creator of Pydantic.
Monorepos get concrete fast.
This episode features an interview with three members of the Python Typing Council discussing how Python's type system is governed, the relationship between specifications and type checkers, and advice on using type hints effectively.
This episode explores how Python can solve practical problems in digital humanities, such as maintaining websites after grant funding ends through static sites and client-side search.
Datastar starts with a familiar Python web headache.
This episode features an interview with the FastAPI Cloud team discussing their platform for simplifying FastAPI app deployment and how it strengthens the open-source FastAPI project.
An interview with Larry Ogrenek about PyView, a project bringing real-time Phoenix Live View capabilities to Python web development.
An interview with Vincent Warmerdam about Disk Cache, a caching library built on SQLite for Python applications.
A roundtable discussion with creators of major Python web frameworks about running apps in production, covering deployment patterns, async gotchas, and scaling.
Python in 2025 sounds refreshed.
Interview with Michael Kennedy about his book on deploying Python web apps at scale with right-sized engineering.
Interview with Trevor Mance about AnyWidget, a library that simplifies building interactive widgets in Python notebooks without heavy JavaScript.
An interview with David Kopech about computer science concepts for self-taught programmers.
Episode 528 keeps LLMs practical.
This episode explores the Model Context Protocol (MCP) for Python developers, featuring guest Den Delamarski from Microsoft to discuss building practical services that integrate AI tools across editors and agents.
This episode explores how foundation LLM models are transforming data science workflows, discussing tools like Cursor and Copilot, practical patterns, and when traditional approaches still excel.
Interview with NiceGUI creators about building modern component-based web apps in pure Python.
This episode discusses 38 essential things Python developers should learn in 2025, covering topics like free-threaded CPython, UV for packaging, Docker, Kubernetes, DuckDB, PyScript, and MCP for AI workflows.
An interview with the Pyrefly team about a new fast Python type checker from Meta.
Host Michael Kennedy interviews Quinn Tran about bite-sized Python and data science snippets, open-source tools, and cleaner workflows.
This episode discusses AI red teaming, security risks, and defenses using the Python framework Pirate, with guests from Microsoft.
Interview with Charlie Marsh about PYX, a smart server for Python package installation that works with UV and PIP.
A roundtable discussion celebrating Django's 20th anniversary, covering its history, modern features, and future in web development.
A discussion on agentic AI programming, practical use of coding assistants, and managing technical debt in Python development.
Interview with Mason Egger about Temporal, a durable execution platform for building crash-proof Python applications.
This episode explores automating desktop tasks with Python, covering tools and APIs for building productive apps.
Host Michael Kennedy interviews Sydney Runkle about building Python apps with LangChain and LangGraph, an agentic framework for LLMs.
An interview with Miguel Sanda about Django Ledger, an open-source accounting framework built with Django for Python developers.
An interview with Brett Kennedy about outlier detection in data science, covering its applications in fraud detection and pattern discovery.
An interview with Peter Wang, co-founder of Anaconda, discussing the Anaconda toolbox for Excel and trends in the Python ecosystem.
An interview with the CEO of LanceDB about using the open-source database for AI and multimodal data in Python applications.