Python Bytes Podcast Por Michael Kennedy and Brian Okken capa

Python Bytes

Python Bytes

De: Michael Kennedy and Brian Okken
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Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space.Copyright 2016-2026 Política e Governo
Episódios
  • #469 Commands, out of the terminal
    Feb 9 2026
    Topics covered in this episode: Command Book Appuvx.sh: Install Python tools without uv or PythonEnding 15 years of subprocess pollingmonty: A minimal, secure Python interpreter written in Rust for use by AIExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hostsMichael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Command Book App New app from MichaelCommand Book App is a native macOS app for developers, data scientists, AI enthusiasts and more.This is a tool I've been using lately to help build Talk Python, Python Bytes, Talk Python Training, and many more applications.It's a bit like advanced terminal commands or complex shell aliases, but hosted outside of your terminal. This leaves the terminal there for interactive commands, exploration, short actions.Command Book manages commands like "tail this log while I'm developing the app", "Run the dev web server with true auto-reload", and even "Run MongoDB in Docker with exactly the settings I need"I'd love it if you gave it a look, shared it with your team, and send me feedback.Has a free version and paid version.Build with Swift and Swift UICheck it out at https://commandbookapp.com Brian #2: uvx.sh: Install Python tools without uv or Python Tim Hopper Michael #3: Ending 15 years of subprocess polling by Giampaolo RodolaThe standard library's subprocess module has relied on a busy-loop polling approach since the timeout parameter was added to Popen.wait() in Python 3.3, around 15 years agoThe problem with busy-polling CPU wake-ups: even with exponential backoff (starting at 0.1ms, capping at 40ms), the system constantly wakes up to check process status, wasting CPU cycles and draining batteries.Latency: there's always a gap between when a process actually terminates and when you detect it.Scalability: monitoring many processes simultaneously magnifies all of the above.+ L1/L2 CPU cache invalidationsIt’s interesting to note that waiting via poll() (or kqueue()) puts the process into the exact same sleeping state as a plain time.sleep() call. From the kernel's perspective, both are interruptible sleeps.Here is the merged PR for this change. Brian #4: monty: A minimal, secure Python interpreter written in Rust for use by AI Samuel Colvin and others at PydanticStill experimental“Monty avoids the cost, latency, complexity and general faff of using a full container based sandbox for running LLM generated code. ““Instead, it lets you safely run Python code written by an LLM embedded in your agent, with startup times measured in single digit microseconds not hundreds of milliseconds.” Extras Brian: Expertise is the art of ignoring - Kevin Renskers You don’t need to master the language. You need to master your slice.Learning everything up front is wasted effort.Experience changes what you pay attention to.I hate fish - Rands (Michael Lopp) Really about productivity systemsAnd a nice process for dealing with email Michael: Talk Python now has a CLINew essay: It's not vibe coding - Agentic engineeringGitHub is having a dayPython 3.14.3 and 3.13.12 are availableWall Street just lost $285 billion because of 13 markdown files Joke: Silence, current side project!
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    34 minutos
  • #468 A bolt of Django
    Feb 3 2026
    Topics covered in this episode: django-bolt: Faster than FastAPI, but with Django ORM, Django Admin, and Django packagespyleakMore Django (three articles)DatastarExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: django-bolt : Faster than FastAPI, but with Django ORM, Django Admin, and Django packages Farhan Ali RazaHigh-Performance Fully Typed API Framework for DjangoInspired by DRF, FastAPI, Litestar, and RobynDjango-Bolt docsInterview with Farhan on Django Chat PodcastAnd a walkthrough video Michael #2: pyleak Detect leaked asyncio tasks, threads, and event loop blocking with stack trace in Python. Inspired by goleak.Has patterns for Context managersdecoratorsChecks for Unawaited asyncio tasksThreadsBlocking of an asyncio loopIncludes a pytest plugin so you can do @pytest.mark.no_leaks Brian #3: More Django (three articles) Migrating From Celery to Django Tasks Paul TaylorNice intro of how easy it is to get started with Django TasksSome notes on starting to use Django Julia EvansA handful of reasons why Django is a great choice for a web framework less magic than Railsa built-in adminnice ORMautomatic migrationsnice docsyou can use sqlite in productionbuilt in emailThe definitive guide to using Django with SQLite in production I’m gonna have to study this a bit.The conclusion states one of the benefits is “reduced complexity”, but, it still seems like quite a bit to me. Michael #4: Datastar Sent to us by Forrest LanierLots of work by Chris MayOut on Talk Python soon.Official Datastar Python SDKDatastar is a little like HTMX, but The single source of truth is your serverEvents can be sent from server automatically (using SSE) e.g yield SSE.patch_elements( f"""{(#HTML#)}{datetime.now().isoformat()}""" ) Why I switched from HTMX to Datastar article Extras Brian: Django Chat: Inverting the Testing Pyramid - Brian Okken Quite a fun interviewPEP 686 – Make UTF-8 mode default Now with status “Final” and slated for Python 3.15 Michael: Prayson Daniel’s Paper trackerIce Cubes (open source Mastodon client for macOS)Rumdl for PyCharm, et. alcURL Gets Rid of Its Bug Bounty Program Over AI Slop OverrunPython Developers Survey 2026 Joke: Pushed to prod
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    31 minutos
  • #467 Toads in my AI
    Jan 26 2026
    Topics covered in this episode: GreyNoise IP Checktprof: a targeting profilerTOAD is outExtrasJokeWatch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python TrainingThe Complete pytest CoursePatreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky)Brian: @brianokken@fosstodon.org / @brianokken.bsky.socialShow: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: GreyNoise IP Check GreyNoise watches the internet's background radiation—the constant storm of scanners, bots, and probes hitting every IP address on Earth.Is your computer sending out bot or other bad-actor traffic? What about the myriad of devices and IoT things on your local IP?Heads up: If your IP has recently changed, it might not be you (false positive). Brian #2: tprof: a targeting profiler Adam JohnsonIntro blog post: Python: introducing tprof, a targeting profiler Michael #3: TOAD is out Toad is a unified experience for AI in the terminalFront-end for AI tools such as OpenHands, Claude Code, Gemini CLI, and many more.Better TUI experience (e.g. @ for file context uses fuzzy search and dropdowns)Better prompt input (mouse, keyboard, even colored code and markdown blocks)Terminal within terminals (for TUI support) Brian #4: FastAPI adds Contribution Guidelines around AI usage Docs commit: Add contribution instructions about LLM generated code and comments and automated tools for PRsDocs section: Development - Contributing : Automated Code and AIGreat inspiration and example of how to deal with this for popular open source projects “If the human effort put in a PR, e.g. writing LLM prompts, is less than the effort we would need to put to review it, please don't submit the PR.”With sections on Closing Automated and AI PRsHuman Effort Denial of ServiceUse Tools Wisely Extras Brian: Apparently Digg is back and there’s a Python Community thereWhy light-weight websites may one day save your life - Marijke LuttekesHome Michael: Blog posts about Talk Python AI Integrations Announcing Talk Python AI Integrations on Talk Python’s BlogBlocking AI crawlers might be a bad idea on Michael’s BlogAlready using the compile flag for faster app startup on the containers: RUN --mount=type=cache,target=/root/.cache uv pip install --compile-bytecode --python /venv/bin/pythonI think it’s speeding startup by about 1s / container.Biggest prompt yet? 72 pages, 11, 000 Joke: A date via From Pat Decker
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    32 minutos
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