PodcastsTechnologieTalk Python To Me

Talk Python To Me

Michael Kennedy
Talk Python To Me
Neueste Episode

536 Episoden

  • Talk Python To Me

    #537: Datastar: Modern web dev, simplified

    21.2.2026 | 1 Std. 16 Min.
    You love building web apps with Python, and HTMX got you excited about the hypermedia approach -- let the server drive the HTML, skip the JavaScript build step, keep things simple. But then you hit that last 10%: You need Alpine.js for interactivity, your state gets out of sync, and suddenly you're juggling two unrelated libraries that weren't designed to work together.



    What if there was a single 11-kilobyte framework that gave you everything HTMX and Alpine do, and more, with real-time updates, multiplayer collaboration out of the box, and performance so fast you're actually bottlenecked by the monitor's refresh rate? That's Datastar.



    On this episode, I sit down with its creator Delaney Gillilan, core maintainer Ben Croker, and Datastar convert Chris May to explore how this backend-driven, server-sent-events-first framework is changing the way full-stack developers think about the modern web.

    Episode sponsors

    Sentry Error Monitoring, Code talkpython26

    Command Book

    Talk Python Courses

    Links from the show

    Guests

    Delaney Gillilan: linkedin.com

    Ben Croker: x.com

    Chris May: everydaysuperpowers.dev

    Datastar: data-star.dev

    HTMX: htmx.org

    AlpineJS: alpinejs.dev

    Core Attribute Tour: data-star.dev

    data-star.dev/examples: data-star.dev

    github.com/starfederation/datastar-python: github.com

    VSCode: marketplace.visualstudio.com

    OpenVSX: open-vsx.org

    PyCharm/Intellij plugin: plugins.jetbrains.com

    data-star.dev/datastar_pro: data-star.dev

    gg: discord.gg

    HTML-ivating your Django web app's experience with HTMX, AlpineJS, and streaming HTML - Chris May: www.youtube.com

    Senior Engineer tries Vibe Coding: www.youtube.com

    1 Billion Checkboxes: checkboxes.andersmurphy.com

    Game of life example: example.andersmurphy.com

    Watch this episode on YouTube: youtube.com

    Episode #537 deep-dive: talkpython.fm/537

    Episode transcripts: talkpython.fm

    Theme Song: Developer Rap

    🥁 Served in a Flask 🎸: talkpython.fm/flasksong

    ---== Don't be a stranger ==---

    YouTube: youtube.com/@talkpython

    Bluesky: @talkpython.fm

    Mastodon: @[email protected]

    X.com: @talkpython

    Michael on Bluesky: @mkennedy.codes

    Michael on Mastodon: @[email protected]

    Michael on X.com: @mkennedy
  • Talk Python To Me

    #536: Fly inside FastAPI Cloud

    10.2.2026 | 1 Std. 7 Min.
    You've built your FastAPI app, it's running great locally, and now you want to share it with the world. But then reality hits -- containers, load balancers, HTTPS certificates, cloud consoles with 200 options. What if deploying was just one command? That's exactly what Sebastian Ramirez and the FastAPI Cloud team are building. On this episode, I sit down with Sebastian, Patrick Arminio, Savannah Ostrowski, and Jonathan Ehwald to go inside FastAPI Cloud, explore what it means to build a "Pythonic" cloud, and dig into how this commercial venture is actually making FastAPI the open-source project stronger than ever.

    Episode sponsors

    Command Book

    Python in Production

    Talk Python Courses

    Links from the show

    Guests

    Sebastián Ramírez: github.com

    Savannah Ostrowski: github.com

    Patrick Arminio: github.com

    Jonathan Ehwald: github.com

    FastAPI labs: fastapilabs.com

    quickstart: fastapicloud.com

    an episode on diskcache: talkpython.fm

    Fastar: github.com

    FastAPI: The Documentary: www.youtube.com

    Tailwind CSS Situation: adams-morning-walk.transistor.fm

    FastAPI Job Meme: fastapi.meme

    Migrate an Existing Project: fastapicloud.com

    Join the waitlist: fastapicloud.com

    Talk Python CLI

    Talk Python CLI Announcement: talkpython.fm

    Talk Python CLI GitHub: github.com

    Command Book

    Download Command Book: commandbookapp.com

    Announcement post: mkennedy.codes

    Watch this episode on YouTube: youtube.com

    Episode #536 deep-dive: talkpython.fm/536

    Episode transcripts: talkpython.fm

    Theme Song: Developer Rap

    🥁 Served in a Flask 🎸: talkpython.fm/flasksong

    ---== Don't be a stranger ==---

    YouTube: youtube.com/@talkpython

    Bluesky: @talkpython.fm

    Mastodon: @[email protected]

    X.com: @talkpython

    Michael on Bluesky: @mkennedy.codes

    Michael on Mastodon: @[email protected]

    Michael on X.com: @mkennedy
  • Talk Python To Me

    #535: PyView: Real-time Python Web Apps

    23.1.2026 | 1 Std. 7 Min.
    Building on the web is like working with the perfect clay. It’s malleable and can become almost anything. But too often, frameworks try to hide the web’s best parts away from us. Today, we’re looking at PyView, a project that brings the real-time power of Phoenix LiveView directly into the Python world. I'm joined by Larry Ogrodnek to dive into PyView.

    Episode sponsors

    Talk Python Courses

    Python in Production

    Links from the show

    Guest

    Larry Ogrodnek: hachyderm.io

    pyview.rocks: pyview.rocks

    Phoenix LiveView: github.com

    this section: pyview.rocks

    Core Concepts: pyview.rocks

    Socket and Context: pyview.rocks

    Event Handling: pyview.rocks

    LiveComponents: pyview.rocks

    Routing: pyview.rocks

    Templating: pyview.rocks

    HTML Templates: pyview.rocks

    T-String Templates: pyview.rocks

    File Uploads: pyview.rocks

    Streams: pyview.rocks

    Sessions & Authentication: pyview.rocks

    Single-File Apps: pyview.rocks

    starlette: starlette.dev

    wsproto: github.com

    apscheduler: github.com

    t-dom project: github.com

    Watch this episode on YouTube: youtube.com

    Episode #535 deep-dive: talkpython.fm/535

    Episode transcripts: talkpython.fm

    Theme Song: Developer Rap

    🥁 Served in a Flask 🎸: talkpython.fm/flasksong

    ---== Don't be a stranger ==---

    YouTube: youtube.com/@talkpython

    Bluesky: @talkpython.fm

    Mastodon: @[email protected]

    X.com: @talkpython

    Michael on Bluesky: @mkennedy.codes

    Michael on Mastodon: @[email protected]

    Michael on X.com: @mkennedy
  • Talk Python To Me

    #534: diskcache: Your secret Python perf weapon

    13.1.2026 | 1 Std. 14 Min.
    Your cloud SSD is sitting there, bored, and it would like a job. Today we’re putting it to work with DiskCache, a simple, practical cache built on SQLite that can speed things up without spinning up Redis or extra services. Once you start to see what it can do, a universe of possibilities opens up. We're joined by Vincent Warmerdam to dive into DiskCache.

    Episode sponsors

    Talk Python Courses

    Python in Production

    Links from the show

    diskcache docs: grantjenks.com

    LLM Building Blocks for Python course: training.talkpython.fm

    JSONDisk: grantjenks.com

    Git Code Archaeology Charts: koaning.github.io

    Talk Python Cache Admin UI: blobs.talkpython.fm

    Litestream SQLite streaming: litestream.io

    Plash hosting: pla.sh

    Watch this episode on YouTube: youtube.com

    Episode #534 deep-dive: talkpython.fm/534

    Episode transcripts: talkpython.fm

    Theme Song: Developer Rap

    🥁 Served in a Flask 🎸: talkpython.fm/flasksong

    ---== Don't be a stranger ==---

    YouTube: youtube.com/@talkpython

    Bluesky: @talkpython.fm

    Mastodon: @[email protected]

    X.com: @talkpython

    Michael on Bluesky: @mkennedy.codes

    Michael on Mastodon: @[email protected]

    Michael on X.com: @mkennedy
  • Talk Python To Me

    #533: Web Frameworks in Prod by Their Creators

    05.1.2026 | 1 Std. 1 Min.
    Today on Talk Python, the creators behind FastAPI, Flask, Django, Quart, and Litestar get practical about running apps based on their framework in production. Deployment patterns, async gotchas, servers, scaling, and the stuff you only learn at 2 a.m. when the pager goes off. For Django, we have Carlton Gibson and Jeff Triplet. For Flask, we have David Lord and Phil Jones, and on team Litestar we have Janek Nouvertné and Cody Fincher, and finally Sebastián Ramírez from FastAPI is here. Let’s jump in.

    Episode sponsors

    Talk Python Courses

    Python in Production

    Links from the show

    Guests

    David Lord

    Janek Nouvertné

    Cody Fincher

    Philip Jones

    Jeff Triplett

    Carlton Gibson

    Carlton Gibson - Django: github.com

    Sebastian Ramirez - FastAPI: github.com

    David Lord - Flask: davidism.com

    Phil Jones - Flask and Quartz(async): pgjones.dev

    Yanik Nouvertne - LiteStar: github.com

    Cody Fincher - LiteStar: github.com

    Jeff Triplett - Django: jefftriplett.com

    Django: www.djangoproject.com

    Flask: flask.palletsprojects.com

    Quart: quart.palletsprojects.com

    Litestar: litestar.dev

    FastAPI: fastapi.tiangolo.com

    Coolify: coolify.io

    ASGI: asgi.readthedocs.io

    WSGI (PEP 3333): peps.python.org

    Granian: github.com

    Hypercorn: github.com

    uvicorn: uvicorn.dev

    Gunicorn: gunicorn.org

    Hypercorn: hypercorn.readthedocs.io

    Daphne: github.com

    Nginx: nginx.org

    Docker: www.docker.com

    Kubernetes: kubernetes.io

    PostgreSQL: www.postgresql.org

    SQLite: www.sqlite.org

    Celery: docs.celeryq.dev

    SQLAlchemy: www.sqlalchemy.org

    Django REST framework: www.django-rest-framework.org

    Jinja: jinja.palletsprojects.com

    Click: click.palletsprojects.com

    HTMX: htmx.org

    Server-Sent Events (SSE): developer.mozilla.org

    WebSockets (RFC 6455): www.rfc-editor.org

    HTTP/2 (RFC 9113): www.rfc-editor.org

    HTTP/3 (RFC 9114): www.rfc-editor.org

    uv: docs.astral.sh

    Amazon Web Services (AWS): aws.amazon.com

    Microsoft Azure: azure.microsoft.com

    Google Cloud Run: cloud.google.com

    Amazon ECS: aws.amazon.com

    AlloyDB for PostgreSQL: cloud.google.com

    Fly.io: fly.io

    Render: render.com

    Cloudflare: www.cloudflare.com

    Fastly: www.fastly.com

    Watch this episode on YouTube: youtube.com

    Episode #533 deep-dive: talkpython.fm/533

    Episode transcripts: talkpython.fm

    Theme Song: Developer Rap

    🥁 Served in a Flask 🎸: talkpython.fm/flasksong

    ---== Don't be a stranger ==---

    YouTube: youtube.com/@talkpython

    Bluesky: @talkpython.fm

    Mastodon: @[email protected]

    X.com: @talkpython

    Michael on Bluesky: @mkennedy.codes

    Michael on Mastodon: @[email protected]

    Michael on X.com: @mkennedy

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Über Talk Python To Me

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.
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