Talk Python To Me

#530: anywidget: Jupyter Widgets made easy

For years, building interactive widgets in Python notebooks meant wrestling with toolchains, platform quirks, and a mountain of JavaScript machinery. Most developers took one look and backed away slowly. Trevor Manz decided that barrier did not need to exist. His idea was simple: give Python users just enough JavaScript to unlock the web’s interactivity, without dragging along the rest of the web ecosystem. That idea became anywidget, and it is quickly becoming the quiet connective tissue of modern interactive computing. Today we dig into how it works, why it has taken off, and how it might change the way we explore data. Episode sponsors Seer: AI Debugging, Code TALKPYTHON [https://talkpython.fm/seer-code-review] PyCharm, code STRONGER PYTHON [https://talkpython.fm/pycharm-psf-2025] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW Trevor on GitHub: github.com [https://github.com/manzt?featured_on=talkpython] anywidget GitHub: github.com [https://github.com/manzt/anywidget?featured_on=talkpython] Trevor's SciPy 2024 Talk: www.youtube.com [https://www.youtube.com/watch?v=CjNSP_yQqrc] Marimo GitHub: github.com [https://github.com/marimo-team/marimo?featured_on=talkpython] Myst (Markdown docs): mystmd.org [https://mystmd.org/?featured_on=talkpython] Altair: altair-viz.github.io [https://altair-viz.github.io/?featured_on=talkpython] DuckDB: duckdb.org [https://duckdb.org/?featured_on=talkpython] Mosaic: uwdata.github.io [https://uwdata.github.io/mosaic/?featured_on=talkpython] ipywidgets: ipywidgets.readthedocs.io [https://ipywidgets.readthedocs.io/?featured_on=talkpython] Tension between Web and Data Sci Graphic: blobs.talkpython.fm [https://blobs.talkpython.fm/anywidget-web-data-tension.png?cache_id=bd498f] Quak: github.com [https://github.com/manzt/quak?featured_on=talkpython] Walk through building a widget: anywidget.dev [https://anywidget.dev/en/notebooks/counter/?featured_on=talkpython] Widget Gallery: anywidget.dev [https://anywidget.dev/en/community/#widgets-gallery] Video: How do I anywidget?: www.youtube.com [https://www.youtube.com/watch?v=oZhyilx3gqI] PyCharm + PSF Fundraiser: pycharm-psf-2025 code STRONGER PYTHON [https://talkpython.fm/pycharm-psf-2025] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=qcxgukkmJjg] Episode #530 deep-dive: talkpython.fm/530 [https://talkpython.fm/episodes/show/530/anywidget-jupyter-widgets-made-easy#takeaways-anchor] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/530/anywidget-jupyter-widgets-made-easy] Theme Song: Developer Rap 🥁 Served in a Flask 🎸: talkpython.fm/flasksong [https://talkpython.fm/flasksong] ---== Don't be a stranger ==--- YouTube: youtube.com/@talkpython [https://talkpython.fm/youtube] Bluesky: @talkpython.fm [https://bsky.app/profile/talkpython.fm] Mastodon: @talkpython@fosstodon.org [https://fosstodon.org/web/@talkpython] X.com: @talkpython [https://x.com/talkpython] Michael on Bluesky: @mkennedy.codes [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: @mkennedy@fosstodon.org [https://fosstodon.org/web/@mkennedy] Michael on X.com: @mkennedy [https://x.com/mkennedy?featured_on=talkpython]

#529: Computer Science from Scratch

A lot of people building software today never took the traditional CS path. They arrived through curiosity, a job that needed automating, or a late-night itch to make something work. This week, David Kopec joins me to talk about rebuilding computer science for exactly those folks, the ones who learned to program first and are now ready to understand the deeper ideas that power the tools they use every day. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON [https://talkpython.fm/sentry] NordStellar [https://talkpython.fm/nordstellar] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW David Kopec: davekopec.com [https://davekopec.com?featured_on=talkpython] Classic Computer Science Book: amazon.com [https://www.amazon.com/Classic-Computer-Science-Problems-Python/dp/1617295981?featured_on=talkpython] Computer Science from Scratch Book: computersciencefromscratch.com [https://computersciencefromscratch.com?featured_on=talkpython] Computer Science from Scratch at NoStartch (CSFS30 for 30% off): nostarch.com [https://nostarch.com/computer-science-from-scratch?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=EVQOoD6cZmg] Episode #529 deep-dive: talkpython.fm/529 [https://talkpython.fm/episodes/show/529/computer-science-from-scratch#takeaways-anchor] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/529/computer-science-from-scratch] Theme Song: Developer Rap 🥁 Served in a Flask 🎸: talkpython.fm/flasksong [https://talkpython.fm/flasksong] ---== Don't be a stranger ==--- YouTube: youtube.com/@talkpython [https://talkpython.fm/youtube] Bluesky: @talkpython.fm [https://bsky.app/profile/talkpython.fm] Mastodon: @talkpython@fosstodon.org [https://fosstodon.org/web/@talkpython] X.com: @talkpython [https://x.com/talkpython] Michael on Bluesky: @mkennedy.codes [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: @mkennedy@fosstodon.org [https://fosstodon.org/web/@mkennedy] Michael on X.com: @mkennedy [https://x.com/mkennedy?featured_on=talkpython]

#528: Python apps with LLM building blocks

In this episode, I’m talking with Vincent Warmerdam about treating LLMs as just another API in your Python app, with clear boundaries, small focused endpoints, and good monitoring. We’ll dig into patterns for wrapping these calls, caching and inspecting responses, and deciding where an LLM API actually earns its keep in your architecture. Episode sponsors Seer: AI Debugging, Code TALKPYTHON [https://talkpython.fm/seer] NordStellar [https://talkpython.fm/nordstellar] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW Vincent on X: @fishnets88 [https://x.com/fishnets88?featured_on=talkpython] Vincent on Mastodon: @koaning [https://fosstodon.org/@koaning] LLM Building Blocks for Python Co-urse: training.talkpython.fm [https://training.talkpython.fm/courses/llm-building-blocks-for-python] Top Talk Python Episodes of 2024: talkpython.fm [https://talkpython.fm/blog/posts/top-talk-python-podcast-episodes-of-2024/] LLM Usage - Datasette: llm.datasette.io [https://llm.datasette.io/en/stable/usage.html?featured_on=talkpython] DiskCache - Disk Backed Cache (Documentation): grantjenks.com [https://grantjenks.com/docs/diskcache?featured_on=talkpython] smartfunc - Turn docstrings into LLM-functions: github.com [https://github.com/koaning/smartfunc?featured_on=talkpython] Ollama: ollama.com [https://ollama.com?featured_on=talkpython] LM Studio - Local AI: lmstudio.ai [https://lmstudio.ai?featured_on=talkpython] marimo - A Next-Generation Python Notebook: marimo.io [https://marimo.io?featured_on=talkpython] Pydantic: pydantic.dev [https://pydantic.dev?featured_on=talkpython] Instructor - Complex Schemas & Validation (Python): python.useinstructor.com [https://python.useinstructor.com/#complex-schemas-validation] Diving into PydanticAI with marimo: youtube.com [https://www.youtube.com/watch?v=ujQjqqBka-8] Cline - AI Coding Agent: cline.bot [https://cline.bot?featured_on=talkpython] OpenRouter - The Unified Interface For LLMs: openrouter.ai [https://openrouter.ai?featured_on=talkpython] Leafcloud: leaf.cloud [https://leaf.cloud?featured_on=talkpython] OpenAI looks for its "Google Chrome" moment with new Atlas web browser: arstechnica.com [https://arstechnica.com/ai/2025/10/openais-new-atlas-web-browser-wants-to-let-you-chat-with-a-page/?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=t-ReN9jS9sQ] Episode #528 deep-dive: talkpython.fm/528 [https://talkpython.fm/episodes/show/528/python-apps-with-llm-building-blocks#takeaways-anchor] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/528/python-apps-with-llm-building-blocks] Theme Song: Developer Rap 🥁 Served in a Flask 🎸: talkpython.fm/flasksong [https://talkpython.fm/flasksong] ---== Don't be a stranger ==--- YouTube: youtube.com/@talkpython [https://talkpython.fm/youtube] Bluesky: @talkpython.fm [https://bsky.app/profile/talkpython.fm] Mastodon: @talkpython@fosstodon.org [https://fosstodon.org/web/@talkpython] X.com: @talkpython [https://x.com/talkpython] Michael on Bluesky: @mkennedy.codes [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: @mkennedy@fosstodon.org [https://fosstodon.org/web/@mkennedy] Michael on X.com: @mkennedy [https://x.com/mkennedy?featured_on=talkpython]

#527: MCP Servers for Python Devs

Today we’re digging into the Model Context Protocol, or MCP. Think LSP for AI: build a small Python service once and your tools and data show up across editors and agents like VS Code, Claude Code, and more. My guest, Den Delimarsky from Microsoft, helps build this space and will keep us honest about what’s solid versus what's just shiny. We’ll keep it practical: transports that actually work, guardrails you can trust, and a tiny server you could ship this week. By the end, you’ll have a clear mental model and a path to plug Python into the internet of agents. Episode sponsors Sentry AI Monitoring, Code TALKPYTHON [https://talkpython.fm/sentryagents] NordStellar [https://talkpython.fm/nordstellar] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW Den Delimarsky: den.dev [https://den.dev?featured_on=talkpython] Agentic AI Programming for Python Course: training.talkpython.fm [https://training.talkpython.fm/courses/agentic-ai-programming-for-python] Model Context Protocol: modelcontextprotocol.io [https://modelcontextprotocol.io?featured_on=talkpython] Model Context Protocol Specification (2025-03-26): modelcontextprotocol.io [https://modelcontextprotocol.io/specification/2025-03-26?featured_on=talkpython] MCP Python Package (PyPI): pypi.org [https://pypi.org/project/mcp?featured_on=talkpython] Awesome MCP Servers (punkpeye) GitHub Repo: github.com [https://github.com/punkpeye/awesome-mcp-servers?featured_on=talkpython] Visual Studio Code Docs: Copilot MCP Servers: code.visualstudio.com [https://code.visualstudio.com/docs/copilot/customization/mcp-servers?featured_on=talkpython] GitHub MCP Server (GitHub repo): github.com [https://github.com/github/github-mcp-server?featured_on=talkpython] GitHub Blog: Meet the GitHub MCP Registry: github.blog [https://github.blog/ai-and-ml/github-copilot/meet-the-github-mcp-registry-the-fastest-way-to-discover-mcp-servers?featured_on=talkpython] MultiViewer App: multiviewer.app [https://multiviewer.app?featured_on=talkpython] GitHub Blog: Spec-driven development with AI (open source toolkit): github.blog [https://github.blog/ai-and-ml/generative-ai/spec-driven-development-with-ai-get-started-with-a-new-open-source-toolkit/?featured_on=talkpython] Model Context Protocol Registry (GitHub): github.com [https://github.com/modelcontextprotocol/registry?featured_on=talkpython] mcp (GitHub organization): github.com [https://github.com/mcp?featured_on=talkpython] Tailscale: tailscale.com [https://tailscale.com?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=0V3Tah-BDy4] Episode #527 deep-dive: talkpython.fm/527 [https://talkpython.fm/episodes/show/527/mcp-servers-for-python-devs#takeaways-anchor] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/527/mcp-servers-for-python-devs] Theme Song: Developer Rap 🥁 Served in a Flask 🎸: talkpython.fm/flasksong [https://talkpython.fm/flasksong] ---== Don't be a stranger ==--- YouTube: youtube.com/@talkpython [https://talkpython.fm/youtube] Bluesky: @talkpython.fm [https://bsky.app/profile/talkpython.fm] Mastodon: @talkpython@fosstodon.org [https://fosstodon.org/web/@talkpython] X.com: @talkpython [https://x.com/talkpython] Michael on Bluesky: @mkennedy.codes [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: @mkennedy@fosstodon.org [https://fosstodon.org/web/@mkennedy] Michael on X.com: @mkennedy [https://x.com/mkennedy?featured_on=talkpython]

#526: Building Data Science with Foundation LLM Models

Today, we’re talking about building real AI products with foundation models. Not toy demos, not vibes. We’ll get into the boring dashboards that save launches, evals that change your mind, and the shift from analyst to AI app builder. Our guide is Hugo Bowne-Anderson, educator, podcaster, and data scientist, who’s been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around. Episode sponsors Posit [https://talkpython.fm/ppm] NordStellar [https://talkpython.fm/nordstellar] Talk Python Courses [https://talkpython.fm/training] LINKS FROM THE SHOW Hugo Bowne-Anderson: x.com [https://x.com/hugobowne?featured_on=talkpython] Vanishing Gradients Podcast: vanishinggradients.fireside.fm [https://vanishinggradients.fireside.fm?featured_on=talkpython] Fundamentals of Dask: High Performance Data Science Course: training.talkpython.fm [https://training.talkpython.fm/courses/fundamentals-of-dask-getting-up-to-speed] Building LLM Applications for Data Scientists and Software Engineers: maven.com [https://maven.com/hugo-stefan/building-llm-apps-ds-and-swe-from-first-principles?promoCode=friendsoftalkpython] marimo: a next-generation Python notebook: marimo.io [https://marimo.io?featured_on=talkpython] DevDocs (Offline aggregated docs): devdocs.io [https://devdocs.io?featured_on=talkpython] Elgato Stream Deck: elgato.com [https://www.elgato.com/us/en/p/stream-deck?featured_on=talkpython] Sentry's Seer: talkpython.fm [https://talkpython.fm/seer] The End of Programming as We Know It: oreilly.com [https://www.oreilly.com/radar/the-end-of-programming-as-we-know-it/?featured_on=talkpython] LorikeetCX AI Concierge: lorikeetcx.ai [https://www.lorikeetcx.ai?featured_on=talkpython] Text to SQL & AI Query Generator: text2sql.ai [https://www.text2sql.ai?featured_on=talkpython] Inverse relationship enthusiasm for AI and traditional projects: oreilly.com [https://www.oreilly.com/radar/wp-content/uploads/sites/3/2025/04/LLM-SDLC_Fig1_edit3-1.png?featured_on=talkpython] Watch this episode on YouTube: youtube.com [https://www.youtube.com/watch?v=_LFdKjsKdPE] Episode #526 deep-dive: talkpython.fm/526 [https://talkpython.fm/episodes/show/526/building-data-science-with-foundation-llm-models#takeaways-anchor] Episode transcripts: talkpython.fm [https://talkpython.fm/episodes/transcript/526/building-data-science-with-foundation-llm-models] Theme Song: Developer Rap 🥁 Served in a Flask 🎸: talkpython.fm/flasksong [https://talkpython.fm/flasksong] ---== Don't be a stranger ==--- YouTube: youtube.com/@talkpython [https://talkpython.fm/youtube] Bluesky: @talkpython.fm [https://bsky.app/profile/talkpython.fm] Mastodon: @talkpython@fosstodon.org [https://fosstodon.org/web/@talkpython] X.com: @talkpython [https://x.com/talkpython] Michael on Bluesky: @mkennedy.codes [https://bsky.app/profile/mkennedy.codes?featured_on=talkpython] Michael on Mastodon: @mkennedy@fosstodon.org [https://fosstodon.org/web/@mkennedy] Michael on X.com: @mkennedy [https://x.com/mkennedy?featured_on=talkpython]