PodcastsTechnologyTalk Python To Me

Talk Python To Me

Michael Kennedy
Talk Python To Me
Latest episode

533 episodes

  • Talk Python To Me

    #534: diskcache: Your secret Python perf weapon

    13/1/2026 | 1h 14 mins.
    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 | 1h 1 mins.
    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

    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
  • Talk Python To Me

    #532: 2025 Python Year in Review

    29/12/2025 | 1h 18 mins.
    Python in 2025 is in a delightfully refreshing place: the GIL's days are numbered, packaging is getting sharper tools, and the type checkers are multiplying like gremlins snacking after midnight. On this episode, we have an amazing panel to give us a range of perspectives on what matter in 2025 in Python. We have Barry Warsaw, Brett Cannon, Gregory Kapfhammer, Jodie Burchell, Reuven Lerner, and Thomas Wouters on to give us their thoughts.

    Episode sponsors

    Seer: AI Debugging, Code TALKPYTHON

    Talk Python Courses

    Links from the show

    Python Software Foundation (PSF): www.python.org

    PEP 810: Explicit lazy imports: peps.python.org

    PEP 779: Free-threaded Python is officially supported: peps.python.org

    PEP 723: Inline script metadata: peps.python.org

    PyCharm: www.jetbrains.com

    JetBrains: www.jetbrains.com

    Visual Studio Code: code.visualstudio.com

    pandas: pandas.pydata.org

    PydanticAI: ai.pydantic.dev

    OpenAI API docs: platform.openai.com

    uv: docs.astral.sh

    Hatch: github.com

    PDM: pdm-project.org

    Poetry: python-poetry.org

    Project Jupyter: jupyter.org

    JupyterLite: jupyterlite.readthedocs.io

    PEP 690: Lazy Imports: peps.python.org

    PyTorch: pytorch.org

    Python concurrent.futures: docs.python.org

    Python Package Index (PyPI): pypi.org

    EuroPython: tickets.europython.eu

    TensorFlow: www.tensorflow.org

    Keras: keras.io

    PyCon US: us.pycon.org

    NumFOCUS: numfocus.org

    Python discussion forum (discuss.python.org): discuss.python.org

    Language Server Protocol: microsoft.github.io

    mypy: mypy-lang.org

    Pyright: github.com

    Pylance: marketplace.visualstudio.com

    Pyrefly: github.com

    ty: github.com

    Zuban: docs.zubanls.com

    Jedi: jedi.readthedocs.io

    GitHub: github.com

    PyOhio: www.pyohio.org

    Watch this episode on YouTube: youtube.com

    Episode #532 deep-dive: talkpython.fm/532

    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

    #531: Talk Python in Production

    18/12/2025 | 1h 21 mins.
    Have you ever thought about getting your small product into production, but are worried about the cost of the big cloud providers? Or maybe you think your current cloud service is over-architected and costing you too much? Well, in this episode, we interview Michael Kennedy, author of "Talk Python in Production," a new book that guides you through deploying web apps at scale with right-sized engineering.

    Episode sponsors

    Seer: AI Debugging, Code TALKPYTHON

    Agntcy

    Talk Python Courses

    Links from the show

    Christopher Trudeau - guest host: www.linkedin.com

    Michael's personal site: mkennedy.codes

    Talk Python in Production Book: talkpython.fm

    glances: github.com

    btop: github.com

    Uptimekuma: uptimekuma.org

    Coolify: coolify.io

    Talk Python Blog: talkpython.fm

    Hetzner (€20 credit with link): hetzner.cloud

    OpalStack: www.opalstack.com

    Bunny.net CDN: bunny.net

    Galleries from the book: github.com

    Pandoc: pandoc.org

    Docker: www.docker.com

    Watch this episode on YouTube: youtube.com

    Episode #531 deep-dive: talkpython.fm/531

    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

    #530: anywidget: Jupyter Widgets made easy

    13/12/2025 | 1h 11 mins.
    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

    PyCharm, code STRONGER PYTHON

    Talk Python Courses

    Links from the show

    Trevor on GitHub: github.com

    anywidget GitHub: github.com

    Trevor's SciPy 2024 Talk: www.youtube.com

    Marimo GitHub: github.com

    Myst (Markdown docs): mystmd.org

    Altair: altair-viz.github.io

    DuckDB: duckdb.org

    Mosaic: uwdata.github.io

    ipywidgets: ipywidgets.readthedocs.io

    Tension between Web and Data Sci Graphic: blobs.talkpython.fm

    Quak: github.com

    Walk through building a widget: anywidget.dev

    Widget Gallery: anywidget.dev

    Video: How do I anywidget?: www.youtube.com

    PyCharm + PSF Fundraiser: pycharm-psf-2025 code STRONGER PYTHON

    Watch this episode on YouTube: youtube.com

    Episode #530 deep-dive: talkpython.fm/530

    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

More Technology podcasts

About 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.
Podcast website

Listen to Talk Python To Me, The AI Daily Brief: Artificial Intelligence News and Analysis and many other podcasts from around the world with the radio.net app

Get the free radio.net app

  • Stations and podcasts to bookmark
  • Stream via Wi-Fi or Bluetooth
  • Supports Carplay & Android Auto
  • Many other app features

Talk Python To Me: Podcasts in Family

Social
v8.3.0 | © 2007-2026 radio.de GmbH
Generated: 1/19/2026 - 2:59:49 PM