Episodes

  • #504: Developer Trends in 2025

    #504: Developer Trends in 2025
    May 5 2025
    What trends and technologies should you be paying attention to today? Are there hot new database servers you should check out? Or will that just be a flash in the pan? I love these forward looking episodes and this one is super fun. I've put together an amazing panel: Gina Häußge, Ines Montani, Richard Campbell, and Calvin Hendryx-Parker. We dive into the recent Stack Overflow Developer survey results as a sounding board for our thoughts on rising and falling trends in the Python and broader developer space. Episode sponsors NordLayer Auth0 Talk Python Courses Links from the show The Stack Overflow Survey Results: survey.stackoverflow.co/2024 Panelists Gina Häußge: chaos.social/@foosel Ines Montani: ines.io Richard Campbell: about.me/richard.campbell Calvin Hendryx-Parker: github.com/calvinhp Explosion: explosion.ai spaCy: spacy.io OctoPrint: octoprint.org .NET Rocks: dotnetrocks.com Six Feet Up: sixfeetup.com Stack Overflow: stackoverflow.com Python.org: python.org GitHub Copilot: github.com OpenAI ChatGPT: chat.openai.com Claude: anthropic.com LM Studio: lmstudio.ai Hetzner: hetzner.com Docker: docker.com Aider Chat: github.com Goose AI: goose.ai IndyPy: indypy.org OctoPrint Community Forum: community.octoprint.org spaCy GitHub: github.com Hugging Face: huggingface.co Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy
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    1 hr and 10 mins
  • #503: The PyArrow Revolution

    #503: The PyArrow Revolution
    Apr 28 2025
    Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based upon numpy. But changes are afoot to update those internals and you can now optionally use PyArrow. PyArrow comes with a ton of benefits including it's columnar format which makes answering analytical questions faster, support for a range of high performance file formats, inter-machine data streaming, faster file IO and more. Reuven Lerner is here to give us the low-down on the PyArrow revolution. Episode sponsors NordLayer Auth0 Talk Python Courses Links from the show Reuven: github.com/reuven Apache Arrow: github.com Parquet: parquet.apache.org Feather format: arrow.apache.org Python Workout Book (45% off with code talkpython45): manning.com Pandas Workout Book (45% off with code talkpython45): manning.com Pandas: pandas.pydata.org PyArrow CSV docs: arrow.apache.org Future string inference in Pandas: pandas.pydata.org Pandas NA/nullable dtypes: pandas.pydata.org Pandas `.iloc` indexing: pandas.pydata.org DuckDB: duckdb.org Pandas user guide: pandas.pydata.org Pandas GitHub issues: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy
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    1 hr and 9 mins
  • #502: Django Ledger: Accounting with Python

    #502: Django Ledger: Accounting with Python
    Apr 21 2025
    Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also really like Django and would rather have a foundation to build your own accounting system exactly as you need for your company or your product. On this episode, we're diving into Django Ledger, created by Miguel Sanda, which can do just that.

    Episode sponsors

    Auth0
    Talk Python Courses

    Links from the show Miguel Sanda on Twitter: @elarroba
    Miguel on Mastodon: @elarroba@fosstodon.org
    Miguel on GitHub: github.com

    Django Ledger on Github: github.com
    Django Ledger Discord: discord.gg

    Get Started with Django MongoDB Backend: mongodb.com
    Wagtail CMS: wagtail.org
    Watch this episode on YouTube: youtube.com
    Episode transcripts: talkpython.fm

    --- Stay in touch with us ---
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    Michael on Bluesky: @mkennedy.codes at bsky.app
    Michael on Mastodon: mkennedy
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    1 hr and 4 mins
  • #501: Marimo - Reactive Notebooks for Python

    #501: Marimo - Reactive Notebooks for Python
    Apr 14 2025
    Have you ever spent an afternoon wrestling with a Jupyter notebook, hoping that you ran the cells in just the right order, only to realize your outputs were completely out of sync? Today's guest has a fresh take on solving that exact problem. Akshay Agrawal is here to introduce Marimo, a reactive Python notebook that ensures your code and outputs always stay in lockstep. And that's just the start! We'll also dig into Akshay's background at Google Brain and Stanford, what it's like to work on the cutting edge of AI, and how Marimo is uniting the best of data science exploration and real software engineering.

    Episode sponsors

    Worth Search
    Talk Python Courses

    Links from the show Akshay Agrawal: akshayagrawal.com
    YouTube: youtube.com
    Source: github.com
    Docs: marimo.io
    Marimo: marimo.io
    Discord: marimo.io
    WASM playground: marimo.new
    Experimental generate notebooks with AI: marimo.app
    Pluto.jl: plutojl.org
    Observable JS: observablehq.com
    Watch this episode on YouTube: youtube.com
    Episode transcripts: talkpython.fm

    --- Stay in touch with us ---
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    Talk Python on Bluesky: @talkpython.fm at bsky.app
    Talk Python on Mastodon: talkpython
    Michael on Bluesky: @mkennedy.codes at bsky.app
    Michael on Mastodon: mkennedy
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    1 hr and 1 min
  • #500: Django Simple Deploy and other DevOps Things

    #500: Django Simple Deploy and other DevOps Things
    Apr 10 2025
    We're sitting down with Eric Matthes, the educator, author, and developer behind Django Simple Deploy. If you've ever struggled with taking that final step of getting your Django app onto a live server (without spending days wrestling with DevOps complexities), then give Django Simple Deploy a look. Eric shares how Django Simple Deploy automates away the boilerplate parts of deployment, so you can focus on building features instead of deciphering endless configs. We'll talk about this new project's journey to 1.0, the range of hosting platforms it supports, and why it's not just for beginners.

    Episode sponsors

    Worth Search
    Talk Python Courses

    Links from the show django-simple-deploy documentation: readthedocs.io
    django-simple-deploy repository: github.com
    Python Crash Course book: ehmatthes.github.io
    Code Red: codered.cloud
    Docker: docker.com
    Caddy: caddyserver.com
    Bunny.net CDN: bunny.net
    Platform.sh: platform.sh
    fly.io: fly.io
    Heroku: heroku.com
    Watch this episode on YouTube: youtube.com
    Episode transcripts: talkpython.fm

    --- Stay in touch with us ---
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    Talk Python on Bluesky: @talkpython.fm at bsky.app
    Talk Python on Mastodon: talkpython
    Michael on Bluesky: @mkennedy.codes at bsky.app
    Michael on Mastodon: mkennedy
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    58 mins
  • #499: BeeWare and the State of Python on Mobile

    #499: BeeWare and the State of Python on Mobile
    Mar 31 2025
    This episode is all about Beeware, the project that working towards true native apps built on Python, especially for iOS and Android. Russell's been at this for more than a decade, and the progress is now hitting critical mass. We'll talk about the Toga GUI toolkit, building and shipping your apps with Briefcase, the newly official support for iOS and Android in CPython, and so much more. I can't wait to explore how BeeWare opens up the entire mobile ecosystem for Python developers, let's jump right in.

    Episode sponsors

    Posit
    Python in Production
    Talk Python Courses

    Links from the show Anaconda open source team: anaconda.com
    PEP 730 – Adding iOS: peps.python.org
    PEP 738 – Adding Android: peps.python.org
    Toga: beeware.org
    Briefcase: beeware.org
    emscripten: emscripten.org
    Russell Keith-Magee - Keynote - PyCon 2019: youtube.com
    Watch this episode on YouTube: youtube.com
    Episode transcripts: talkpython.fm

    --- Stay in touch with us ---
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    Talk Python on Bluesky: @talkpython.fm at bsky.app
    Talk Python on Mastodon: talkpython
    Michael on Bluesky: @mkennedy.codes at bsky.app
    Michael on Mastodon: mkennedy
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    1 hr and 8 mins
  • #498: Algorithms for high performance terminal apps

    #498: Algorithms for high performance terminal apps
    Mar 24 2025
    In this episode, we welcome back Will McGugan, the creator of the wildly popular Rich library and founder of Textualize. We'll dive into Will's latest article on "Algorithms for High Performance Terminal Apps" and explore how he's quietly revolutionizing what's possible in the terminal, from smooth animations and dynamic widgets to full-on TUI (or should we say GUI?) frameworks. Whether you're looking to supercharge your command-line tools or just curious how Python can push the limits of text-based UIs, you'll love hearing how Will's taking a modern, web-inspired approach to old-school terminals.

    Episode sponsors

    Posit
    Python in Production
    Talk Python Courses

    Links from the show Algorithms for high performance terminal apps post: textual.textualize.io
    Textual Demo: github.com
    Textual: textualize.io
    Zero ver: 0ver.org
    memray: github.com
    Posting app: posting.sh
    Bulma CSS framewokr: bulma.io
    JP Term: davidbrochart.github.io
    Rich: github.com
    btop: github.com
    starship: starship.rs
    Watch this episode on YouTube: youtube.com
    Episode transcripts: talkpython.fm

    --- Stay in touch with us ---
    Subscribe to Talk Python on YouTube: youtube.com
    Talk Python on Bluesky: @talkpython.fm at bsky.app
    Talk Python on Mastodon: talkpython
    Michael on Bluesky: @mkennedy.codes at bsky.app
    Michael on Mastodon: mkennedy
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    1 hr and 8 mins
  • #497: Outlier Detection with Python

    #497: Outlier Detection with Python
    Mar 21 2025
    Have you ever wondered why certain data points stand out so dramatically? They might hold the key to everything from fraud detection to groundbreaking discoveries. This week on Talk Python to Me, we dive into the world of outlier detection with Python with Brett Kennedy. You'll learn how outliers can signal errors, highlight novel insights, or even reveal hidden patterns lurking in the data you thought you understood. We'll explore fresh research developments, practical use cases, and how outlier detection compares to other core data science tasks like prediction and clustering. If you're ready to spot those game-changing anomalies in your own projects, stay tuned.

    Discount code for Outlier Detection in Python book: talkpython45 (45% off, no expiration date).

    Episode sponsors

    Posit
    Python in Production
    Talk Python Courses

    Links from the show Data-morph: github.com
    PyOD: github.com
    Prophet: github.com

    Outlier Detection in Python Book: manning.com
    Episode transcripts: talkpython.fm

    --- Stay in touch with us ---
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    Talk Python on Bluesky: @talkpython.fm at bsky.app
    Talk Python on Mastodon: talkpython
    Michael on Bluesky: @mkennedy.codes at bsky.app
    Michael on Mastodon: mkennedy
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    55 mins