Podcasts about Python

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 NordStellar Talk Python Courses Links from the show Den Delimarsky: den.dev Agentic AI Programming for Python Course: training.talkpython.fm Model Context Protocol: modelcontextprotocol.io Model Context Protocol Specification (2025-03-26): modelcontextprotocol.io MCP Python Package (PyPI): pypi.org Awesome MCP Servers (punkpeye) GitHub Repo: github.com Visual Studio Code Docs: Copilot MCP Servers: code.visualstudio.com GitHub MCP Server (GitHub repo): github.com GitHub Blog: Meet the GitHub MCP Registry: github.blog MultiViewer App: multiviewer.app GitHub Blog: Spec-driven development with AI (open source toolkit): github.blog Model Context Protocol Registry (GitHub): github.com mcp (GitHub organization): github.com Tailscale: tailscale.com Watch this episode on YouTube: youtube.com Episode #527 deep-dive: talkpython.fm/527 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Dan and Chris unpack whether today's surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation?Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Powell says that, unlike the dotcom boom, AI spending isn't a bubble: ‘I won't go into particular names, but they actually have earnings'Sponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!

Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 01/11 a 07/11.☕ Café Código FontePrograme sua xícara para o sabor certo!http://cafe.codigofonte.com.br

Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 01/11 a 07/11.☕ Café Código FontePrograme sua xícara para o sabor certo!http://cafe.codigofonte.com.br

What are techniques for writing maintainable Python code? How do you make your Python more readable and easier to refactor? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Learn how Anyscale's Ray platform enables companies like Instacart to supercharge their model training while Amazon saves heavily by shifting to Ray's multimodal capabilities.Topics Include:Ray originated at UC Berkeley when PhD students spent more time building clusters than ML modelsAnyscale now launches 1 million clusters monthly with contributions from OpenAI, Uber, Google, CoinbaseInstacart achieved 10-100x increase in model training data using Ray's scaling capabilitiesML evolved from single-node Pandas/NumPy to distributed Spark, now Ray for multimodal dataRay Core transforms simple Python functions into distributed tasks across massive compute clustersHigher-level Ray libraries simplify data processing, model training, hyperparameter tuning, and model servingAnyscale platform adds production features: auto-restart, logging, observability, and zone-aware schedulingUnlike Spark's CPU-only approach, Ray handles both CPUs and GPUs for multimodal workloadsRay enables LLM post-training and fine-tuning using reinforcement learning on enterprise dataMulti-agent systems can scale automatically with Ray Serve handling thousands of requests per secondAnyscale leverages AWS infrastructure while keeping customer data within their own VPCsRay supports EC2, EKS, and HyperPod with features like fractional GPU usage and auto-scalingParticipants:Sharath Cholleti – Member of Technical Staff, AnyscaleSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Чтобы научиться программировать и разбираться в тонкостях Python 3.12 записывайтесь на базовый курс Learn Python — https://clck.ru/3MuShF  Ведущие – Григорий Петров и Михаил Корнеев Ссылки выпуска: Курс Learn Python — https://learn.python.ru/advanced Канал Миши в Telegram — https://t.me/tricky_python Канал Moscow Python в Telegram — https://t.me/moscow_python Все выпуски — https://podcast.python.ru Митапы Moscow Python — https://moscowpython.ru Канал Moscow Python на Rutube — https://rutube.ru/channel/45885590/ Канал Moscow Python в VK — https://vk.com/moscowpythonconf Курс «Основы Python» от Learn Python — это отличный старт для новичков в программировании. За несколько уроков вы освоите базовый синтаксис, научитесь работать с данными и получите первый опыт для успешного старта карьеры в ИТ. Подробности: https://clck.ru/3MuShF

This interview was recorded for the GOTO Book Club.Read the full transcription of the interview here:https://gotopia.tech/episodes/387Prof. Andreas Zeller - Faculty at CISPA Helmholtz Center for Information Security & Author of "The Debugging Book"Clare Sudbery - Independent Technical CoachRESOURCESAndreashttps://bsky.app/profile/andreaszeller.bsky.socialhttps://www.linkedin.com/in/andreaszellerhttps://andreas-zeller.infoClarehttps://bsky.app/profile/claresudbery.bsky.socialhttps://www.madetech.com/podcasthttps://insimpleterms.blogLinkshttps://www.debuggingbook.orghttps://github.com/uds-se/debuggingbookhttps://www.st.cs.uni-saarland.de/ddDESCRIPTIONProgramming education has a critical blind spot: while we extensively teach code creation, we barely scratch the surface of testing and give almost no attention to debugging—despite debugging consuming half of all software development time.In this conversation with Clare Sudbery, Prof. Andreas Zeller argues that systematic debugging skills and modern automated debugging tools are the "ugly stepchild" of programming that nobody wants to discuss, yet debugging represents the biggest business risk and time sink in software development.RECOMMENDED BOOKSAndreas Zeller • The Debugging Book • https://www.debuggingbook.orgSy Brand • Building a Debugger • https://amzn.to/4cWWr84Nora Sandler • Writing a C Compiler • https://amzn.to/3Z6SMhUInspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Vol au Louvre: voici l’histoire des suspects. Un guide échappe à la mort. Spectaculaire explosion à New York. Dure journée pour un partisan des Jays… As-tu vu ça? avec Alexandre Dubé. Regardez aussi cette discussion en vidéo via https://www.qub.ca/videos ou en vous abonnant à QUB télé : https://www.tvaplus.ca/qub ou sur la chaîne YouTube QUB https://www.youtube.com/@qub_radioPour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Sandra und Daniel reden über ihren Spaß mit DNS und was sie dabei gelernt haben. Dazu gibt es etwas zu Open Source, Python und React.

Cisco Workflows is a new platform that makes network automation easier, smarter, and safer. On today’s episode, sponsored by Cisco, we get introduced to Cisco Workflows by Stephen Orr, Distinguished Solutions Engineer; and Reid Butler, Director of Product Management. They break down how Workflows helps you ditch repetitive tasks, roll out changes faster, and plug... Read more »

Cisco Workflows is a new platform that makes network automation easier, smarter, and safer. On today’s episode, sponsored by Cisco, we get introduced to Cisco Workflows by Stephen Orr, Distinguished Solutions Engineer; and Reid Butler, Director of Product Management. They break down how Workflows helps you ditch repetitive tasks, roll out changes faster, and plug... Read more »

Send us a textWe talk about JABBERWOCKY, Terry Gilliam's first solo directing project and a movie that definitely exists.

SyFy Channel's crowning achievement in goofy movie knock-offs gets a brief summary: BOA VS. PYTHON!   Aside from some interesting star power, no nonsense pacing & making its low-budget work for its already sarcastic nature, where does this crossover franchise even rank among other B-movie franchises?   Inbetween the sequels summary, you'll also get to hear some other quips and clips from the 2004 TV ratings smash hit!  

Intro topic: Asymmetric ReturnsNews/Links:NanoChat by Andrej Karpathyhttps://github.com/karpathy/nanochatPydantic AIhttps://www.marktechpost.com/2025/03/25/pydanticai-advancing-generative-ai-agent-development-through-intelligent-framework-design/1000th Starlink this yearhttps://spaceflightnow.com/2025/05/16/live-coverage-spacex-plans-morning-launch-of-starlink-satellites-from-california/ChatGPT Apps SDKhttps://openai.com/index/introducing-apps-in-chatgpt/Book of the ShowPatrickThe Will of the Many by James Islingtonhttps://amzn.to/43IfU8QJasonInterview with DHH (Founder of Ruby on Rails)https://www.youtube.com/watch?v=vagyIcmIGOQPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrickFactoriohttps://www.factorio.com/ Jasonnip.io Topic: Workflow OrchestratorsWhyBatch jobs (embarrassingly parallel)Long-running tasks (e.g. transcoding video)Checkpointing/resumingHowMessage QueuesContainerizationWorker Pools & AutoscalingHistory & BackfillSteps to run workflows:Containerize the workflow definition and send to the cloudContainerize all the individual tasksSubmit job(s)ExamplesAirflowLegacy but dominantDagsterGreat UX for python developersTemporal: https://temporal.io/The new hotnessRayLow-level but very powerfulKubeflowDesigned for ML workflows, integrated dashboard ★ Support this podcast on Patreon ★

In this episode of MPR, we are catching up with you guys on Texas Carpet Fest, Reptilandia, and some thoughts on the carpet python community. MPR Network SocialsFB: https://www.facebook.com/MoreliaPythonRadioMorelia Pic of the Week: IG: YouTube: https://www.youtube.com/channel/UCtrEaKcyN8KvC3pqaiYc0RQEmail: moreliapythonradio@gmail.com Merch store: https://teespring.com/stores/mprnetworkPatreon: https://www.patreon.com/moreliapythonradio ★ Support this podcast on Patreon ★

Aeroview (https://aeroview.io/) Marc on LinkedIn (https://www.linkedin.com/in/mhweiner/) Alice for Snowflake (https://alice.dev/alice-snowflake/) Mike on X (https://x.com/dominucco) Mike on BlueSky (https://bsky.app/profile/dominucco.bsky.social) Coder on X (https://x.com/coderradioshow) Show Discord (https://discord.gg/k8e7gKUpEp) Alice & Custom Dev (https://alice.dev) Mike's Recent Omakub Blog Post (https://dominickm.com/omakhub-review/)

In this episode, Matt and Mike compare JavaScript and Python for building LLM-powered chatbots. They explore how each ecosystem handles tool calling, type safety, performance, and framework support — from TypeScript's tight end-to-end types to Python's dominance in data and ML. They also discuss architecture patterns that mix the best of both worlds, helping teams choose the right stack for scalable, efficient AI projects. Show Notes: https://www.htmlallthethings.com/podcast/javascript-vs-python-which-is-better-for-building-llm-chatbots Powered by CodeRabbit - AI Code Reviews: https://coderabbit.link/htmlallthethings Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

In our latest episode, Robby and Tim talk with Will McGugan, creator of the Rich and Textual open source projects and founder of Textualize and Toad (not yet released), about the challenges of turning beloved open-source projects into real businesses. Despite Rich and Textual's huge adoption in the Python community, he says he waited too long to monetize, focused too much on technical perfection, and tried to build infrastructure before a killer product. He also burned himself out and wishes he had simplified and hired earlier.McGugan believes the terminal is a neglected but essential interface, prized for speed and flow. Rich and Textual modernized terminal output, but monetizing open-core dev tools proved difficult. His new project, Toad, aims to be a universal AI front-end for the terminal - open-source, protocol-driven, and able to plug into different agent back ends like Claude and others. The goal: seamless workflows and modern UX in the environment developers already live in.Big takeaways: monetize early, ship a killer app sooner, don't overcomplicate structure, and avoid grinding yourself into the ground.

Topics covered in this episode: The PSF has withdrawn a $1.5 million proposal to US government grant program A Binary Serializer for Pydantic Models T-strings: Python's Fifth String Formatting Technique? Cronboard Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @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. Brian #1: The PSF has withdrawn a $1.5 million proposal to US government grant program Related post from Simon Willison ARS Technica: Python plan to boost software security foiled by Trump admin's anti-DEI rules The Register: Python Foundation goes ride or DEI, rejects government grant with strings attached In Jan 2025, the PSF submitted a proposal for a US NSF grant under the Safety, Security, and Privacy of Open Source Ecosystems program. After months of work by the PSF, the proposal was recommended for funding. If the PSF accepted it, however, they would need to agree to the some terms and conditions, including, affirming that the PSF doesn't support diversity. The restriction wouldn't just be around the security work, but around all activity of the PSF as a whole. And further, that any deemed violation would give the NSF the right to ask for the money back. That just won't work, as the PSF would have already spent the money. The PSF mission statement includes "The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers." The money would have obviously been very valuable, but the restrictions are just too unacceptable. The PSF withdrew the proposal. This couldn't have been an easy decision, that was a lot of money, but I think the PSF did the right thing. Michael #2: A Binary Serializer for Pydantic Models 7× Smaller Than JSON A compact binary serializer for Pydantic models that dramatically reduces RAM usage compared to JSON. The library is designed for high-load systems (e.g., Redis caching), where millions of models are stored in memory and every byte matters. It serializes Pydantic models into a minimal binary format and deserializes them back with zero extra metadata overhead. Target Audience: This project is intended for developers working with: high-load APIs in-memory caches (Redis, Memcached) message queues cost-sensitive environments where object size matters Brian #3: T-strings: Python's Fifth String Formatting Technique? Trey Hunner Python 3.14 has t-strings. How do they fit in with the rest of the string story? History percent-style (%) strings - been around for a very long time string.Template - and t.substitute() - from Python 2.4, but I don't think I've ever used them bracket variables and .format() - Since Python 2.6 f-strings - Python 3.6 - Now I feel old. These still seem new to me t-strings - Python 3.14, but a totally different beast. These don't return strings. Trey then covers a problem with f-strings in that the substitution happens at definition time. t-strings have substitution happen later. this is essentially “lazy string interpolation” This still takes a bit to get your head around, but I appreciate Trey taking a whack at the explanation. Michael #4: Cronboard Cronboard is a terminal application that allows you to manage and schedule cronjobs on local and remote servers. With Cronboard, you can easily add, edit, and delete cronjobs, as well as view their status. ✨ Features ✔️ Check cron jobs ✔️ Create cron jobs with validation and human-readable feedback ✔️ Pause and resume cron jobs ✔️ Edit existing cron jobs ✔️ Delete cron jobs ✔️ View formatted last and next run times ✔️ Accepts special expressions like @daily, @yearly, @monthly, etc. ✔️ Connect to servers using SSH, using password or SSH keys ✔️ Choose another user to manage cron jobs if you have the permissions to do so (sudo) Extras Brian: PEP 810: Explicit lazy imports, has been unanimously accepted by steering council Lean TDD book will be written in the open. TOC, some details, and a 10 page introduction are now available. Hoping for the first pass to be complete by the end of the year. I'd love feedback to help make it a great book, and keep it small-ish, on a very limited budget. Joke: You are so wrong!

Five years ago, a CFO's main focus was cutting costs and boosting efficiency, but that conversation has dramatically shifted, with artificial intelligence (AI) now topping the priority list. In this episode of Blood, Sweat & Balance Sheets, host Mike Whitmire sits down with Andrew Moses, Associate Director at Cross Country Consulting, to dive into the evolving role of the modern CFO and the urgent need to adopt AI.They'll unpack why AI is no longer a "nice to have," but an essential budget item. You'll learn:How finance leaders can overcome the challenge of implementing AI, especially when general-purpose tools like Copilot and Python fall short for accounting-specific tasks.The critical difference between general-purpose and purpose-built AI solutions that seamlessly integrate with existing accounting systems.How to view AI as an investment not just in technology, but in your people.This discussion will provide a clear path for companies to effectively and easily adopt solutions purpose-built for the accounting function, making AI a practical reality.

Morse code transcription: vvv vvv Houses without lounges are a reality for renters Egypts Grand Museum opens, displaying Tutankhamun tomb in full for first time Where might Andrew live on the Sandringham estate Hair transplants, finasteride and hair systems Welcome to the world of hair restoration Andrew Why Sarah Ferguson, Beatrice and Eugenie cant escape the taint of family scandal Andrew should answer Jeffrey Epstein questions in US, Democrats say Newspaper headlines Downfall of a prince and something completely Python A line in the sand the fence dividing residents in Sandbanks Halloween 2025 Jade, Demi Lovato and Megan Thee Stallion reveal their costumes Cruise cancelled following death of woman left behind on island

Morse code transcription: vvv vvv Hair transplants, finasteride and hair systems Welcome to the world of hair restoration Newspaper headlines Downfall of a prince and something completely Python A line in the sand the fence dividing residents in Sandbanks Houses without lounges are a reality for renters Where might Andrew live on the Sandringham estate Halloween 2025 Jade, Demi Lovato and Megan Thee Stallion reveal their costumes Andrew Why Sarah Ferguson, Beatrice and Eugenie cant escape the taint of family scandal Cruise cancelled following death of woman left behind on island Andrew should answer Jeffrey Epstein questions in US, Democrats say Egypts Grand Museum opens, displaying Tutankhamun tomb in full for first time

Morse code transcription: vvv vvv Newspaper headlines Downfall of a prince and something completely Python Egypts Grand Museum opens, displaying Tutankhamun tomb in full for first time Hair transplants, finasteride and hair systems Welcome to the world of hair restoration Cruise cancelled following death of woman left behind on island Andrew Why Sarah Ferguson, Beatrice and Eugenie cant escape the taint of family scandal Where might Andrew live on the Sandringham estate Halloween 2025 Jade, Demi Lovato and Megan Thee Stallion reveal their costumes Houses without lounges are a reality for renters A line in the sand the fence dividing residents in Sandbanks Andrew should answer Jeffrey Epstein questions in US, Democrats say

In this week's episode, Jon Westfall and I kicked things off by discussing "falling back" for Daylight Saving Time and reminiscing about dealing with dark mornings. We then moved on to some podcast milestones. I realized that MobileViews is about to turn 18, with the first episode dating back to November 26, 2008 . We also noted that Jon's 12th anniversary on the show is coming up in December. This got us talking about the early days of podcasting. I recalled listening to pioneers like Adam Curry (the "Podfather") and Adam Christiansen ("The Mac Cast") , and how I was amazed they could produce so much content solo . We contrasted that with today's landscape, which seems dominated by celebrity-hosted shows, and I made sure to thank Jon, as I'm certain the podcast would have ended years ago without him. We discussed the recently released free Affinity all-in-one creative suite for MacOS, which both Jon and I had previously purchased, becoming a free all-in-one app on the Mac following its acquisition by Canva. We also chatted about the recent Microsoft Azure outage , which briefly gave me trouble accessing a file on OneDrive , and shared a laugh about how "it's always DNS". On the AI front, I shared a song I generated with Suno AI called "DNS Blues" and we discussed the news of an AI artist, Xenia Monet, debuting on the Billboard charts. Jon shared his own impressive AI project: in about 30 minutes, he used ChatGPT to build a Python-based Discord bot that can serve up Disney trivia, psychology questions, or bad jokes pulled from his 12-year spreadsheet archive.

Morse code transcription: vvv vvv Halloween 2025 Jade, Demi Lovato and Megan Thee Stallion reveal their costumes Andrew should answer Jeffrey Epstein questions in US, Democrats say Cruise cancelled following death of woman left behind on island Newspaper headlines Downfall of a prince and something completely Python Egypts Grand Museum opens, displaying Tutankhamun tomb in full for first time Andrew Why Sarah Ferguson, Beatrice and Eugenie cant escape the taint of family scandal A line in the sand the fence dividing residents in Sandbanks Where might Andrew live on the Sandringham estate Houses without lounges are a reality for renters Hair transplants, finasteride and hair systems Welcome to the world of hair restoration

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 NordStellar Talk Python Courses Links from the show Hugo Bowne-Anderson: x.com Vanishing Gradients Podcast: vanishinggradients.fireside.fm Fundamentals of Dask: High Performance Data Science Course: training.talkpython.fm Building LLM Applications for Data Scientists and Software Engineers: maven.com marimo: a next-generation Python notebook: marimo.io DevDocs (Offline aggregated docs): devdocs.io Elgato Stream Deck: elgato.com Sentry's Seer: talkpython.fm The End of Programming as We Know It: oreilly.com LorikeetCX AI Concierge: lorikeetcx.ai Text to SQL & AI Query Generator: text2sql.ai Inverse relationship enthusiasm for AI and traditional projects: oreilly.com Watch this episode on YouTube: youtube.com Episode #526 deep-dive: talkpython.fm/526 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Durante años hemos pensado que el BIM iba de muros, ventanas y geometrías. Pero el invitado de hoy viene a desmontar ese mito con gráficos, métricas y un Power BI bajo el brazo. Porque, al final, el modelo no es solo geometría: es información. Y la información, cuando se entiende, vale más que el render más bonito. En este episodio hablamos con Israel Álvarez, ingeniero de telecomunicaciones, máster en Big Data y Business Intelligence, y —para sorpresa de muchos— uno de los tipos que mejor entiende cómo el análisis de datos puede darle una nueva dimensión al BIM. Power BI, Speckle, dashboards, datos estructurados y gobernanza: bienvenido al episodio más nerdamente delicioso que ha pasado por BIMrras. ¡Bienvenido al episodio 192 de BIMrras! BIMrras es el Primer Podcast Colaborativo sobre BIM en español. El podcast sobre BIM que Chuck Norris no se atreve a escuchar. Donde tres arquitectos BIMtrastornados discutimos sobre todo lo relacionado con el mundo del Building Information Modeling. Más en https://BIMrras.com Contenido de este episodio: 00:00:00 – Presentación del episodio y bienvenida a Israel Álvarez 00:05:40 – De Teleco al BIM: el camino hacia los datos 00:13:10 – Power BI, Speckle y los nuevos flujos de trabajo 00:22:00 – Qué datos importan: más allá de la geometría 00:31:20 – Gobernanza del dato y calidad de la información 00:43:00 – La democratización del dato y el papel del dashboard 00:52:45 – Sesgos, dashboards y cómo mentir con estadísticas 01:03:20 – Power BI vs Tableau, Looker y alternativas open source 01:14:10 – ¿Y el open source qué? Python, Grafana y otras vías 01:22:45 – IA, copilotos y dashboards automágicos 01:31:30 – Conclusión: el valor del dato en el BIM

How do you deploy your Python application without getting locked into an expensive cloud-based service? This week on the show, Michael Kennedy from the Talk Python podcast returns to discuss his new book, "Talk Python in Production."

In this conversation with Malte Ubl, CTO of Vercel (http://x.com/cramforce), we explore how the company is pioneering the infrastructure for AI-powered development through their comprehensive suite of tools including workflows, AI SDK, and the newly announced agent ecosystem. Malte shares insights into Vercel's philosophy of "dogfooding" - never shipping abstractions they haven't battle-tested themselves - which led to extracting their AI SDK from v0 and building production agents that handle everything from anomaly detection to lead qualification. The discussion dives deep into Vercel's new Workflow Development Kit, which brings durable execution patterns to serverless functions, allowing developers to write code that can pause, resume, and wait indefinitely without cost. Malte explains how this enables complex agent orchestration with human-in-the-loop approvals through simple webhook patterns, making it dramatically easier to build reliable AI applications. We explore Vercel's strategic approach to AI agents, including their DevOps agent that automatically investigates production anomalies by querying observability data and analyzing logs - solving the recall-precision problem that plagues traditional alerting systems. Malte candidly discusses where agents excel today (meeting notes, UI changes, lead qualification) versus where they fall short, emphasizing the importance of finding the "sweet spot" by asking employees what they hate most about their jobs. The conversation also covers Vercel's significant investment in Python support, bringing zero-config deployment to Flask and FastAPI applications, and their vision for security in an AI-coded world where developers "cannot be trusted." Malte shares his perspective on how CTOs must transform their companies for the AI era while staying true to their core competencies, and why maintaining strong IC (individual contributor) career paths is crucial as AI changes the nature of software development. What was launched at Ship AI 2025: AI SDK 6.0 & Agent Architecture Agent Abstraction Philosophy: AI SDK 6 introduces an agent abstraction where you can "define once, deploy everywhere". How does this differ from existing agent frameworks like LangChain or AutoGPT? What specific pain points did you observe in production that led to this design? Human-in-the-Loop at Scale: The tool approval system with needsApproval: true gates actions until human confirmation. How do you envision this working at scale for companies with thousands of agent executions? What's the queue management and escalation strategy? Type Safety Across Models: AI SDK 6 promises "end-to-end type safety across models and UI". Given that different LLMs have varying capabilities and output formats, how do you maintain type guarantees when swapping between providers like OpenAI, Anthropic, or Mistral? Workflow Development Kit (WDK) Durability as Code: The use workflow primitive makes any TypeScript function durable with automatic retries, progress persistence, and observability. What's happening under the hood? Are you using event sourcing, checkpoint/restart, or a different pattern? Infrastructure Provisioning: Vercel automatically detects when a function is durable and dynamically provisions infrastructure in real-time. What signals are you detecting in the code, and how do you determine the optimal infrastructure configuration (queue sizes, retry policies, timeout values)? Vercel Agent (beta) Code Review Validation: The Agent reviews code and proposes "validated patches". What does "validated" mean in this context? Are you running automated tests, static analysis, or something more sophisticated? AI Investigations: Vercel Agent automatically opens AI investigations when it detects performance or error spikes using real production data. What data sources does it have access to? How does it distinguish between normal variance and actual anomalies? Python Support (For the first time, Vercel now supports Python backends natively.) Marketplace & Agent Ecosystem Agent Network Effects: The Marketplace now offers agents like CodeRabbit, Corridor, Sourcery, and integrations with Autonoma, Braintrust, Browser Use. How do you ensure these third-party agents can't access sensitive customer data? What's the security model? "An Agent on Every Desk" Program Vercel launched a new program to help companies identify high-value use cases and build their first production AI agents. It provides consultations, reference templates, and hands-on support to go from idea to deployed agent

LinkedIn users have until Monday to opt out of its AI training program New names surface for NSA leadership Open-source security group pulls out of U.S. grant, citing DEI restrictions Huge thanks to our sponsor, Conveyor Security reviews don't have to feel like a hurricane. Most teams are buried in back-and-forth emails and never-ending customer requests for documentation or answers. But Conveyor takes all that chaos and turns it into calm. AI fills in the questionnaires, your trust center is always ready, and sales cycles move without stalls. Breathe easier—check out Conveyor at www.conveyor.com. Find the stories behind the headlines at CISOseries.com.

Most AI agent frameworks are backend-focused and written in Python, which introduces complexity when building full-stack AI applications with JavaScript or TypeScript frontends. This gap makes it harder for frontend developers to prototype, integrate, and iterate on AI-powered features. Mastra is an open-source TypeScript framework focused on building AI agents and has primitives such as The post Building AI Agents on the Frontend with Sam Bhagwat and Abhi Aiyer appeared first on Software Engineering Daily.

What is Chapel? This week, Technology Now explores the programming language, Chapel. We ask what it is, how it was designed, and we explore why people would use it instead of some of the more established languages.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Brad Chamberlain:https://www.linkedin.com/in/brad-chamberlain-3ab358105 Sourceshttps://www.britannica.com/biography/Ada-Lovelacehttps://www.adalovelaceinstitute.org/about/https://cdn.britannica.com/31/172531-050-E009D42C/portion-Charles-Babbage-Analytical-Engine-death-mill-1871.jpghttps://commons.wikimedia.org/wiki/File:PunchedCardsAnalyticalEngine.jpghttps://www.mpg.de/female-pioneers-of-science/Ada-Lovelace

Hear that? That's the sound of STEM careers taking off. Meet CoDrone EDU from Robolink — the drone made for classrooms and competitions and the sponsor for this episode. It's safe, durable, and fixable — with no FAA license or assembly required to fly and help every student feel more confident in a tech-driven world. Students fly CoDrone EDU three ways: manually, coded with Blockly, or coded with Python. See how over 7 thousand schools have proven you CAN have drones in classrooms, buzz and all, at www.robolink.com Ever wondered how to get a drone club off the ground—without crashing it on day one? In this episode, we're joined by Frankie Baker, former classroom teacher turned Community Manager at Robolink, to break down the big wins (and mistakes) teachers make when bringing drones into their schools. From fixable, flyable classroom drones to career-ready skills and whale snot (yes, really), we're covering everything you didn't know you needed to know about drones in education. Whether you're drone-curious or halfway to competition day, this episode will give you the real talk, the how-tos, and a few good laughs. In This Episode, You'll Learn: The real reason most teachers fail at starting a drone club Why drones aren't just toys—and how they build real-world skills A $250 drone that doesn't need an FAA license? Yep. Free curriculum + PD that makes drone clubs teacher-friendly Student-led learning in action: from Earth Day bees to conference presenters Why Frankie's Twitter handle is "BaconEdTech" A food segment featuring sourdough gone wrong and pan de muerto done right Gabriel's Sourdough Pan De Muerto Recipe Connect With Gabriel Carrillo EdTech Bites Website: https://edtechbites.com EdTech Bites On Bluesky: https://bsky.app/profile/edtechbites.bsky.social EdTech Bites Instagram: https://instagram.com/edtechbites EdTech Bites X: https://twitter.com/edtechbites EdTech Bites Facebook Page: https://facebook.com/edtechbites EdTech Bites On TikTok: https://www.tiktok.com/@edtechbites EdTech Bites YouTube Channel: https://www.youtube.com/@edtechbites About Frankie Baker A self-proclaimed "hype girl of all the things," Frankie is committed to empowering teachers to confidently integrate technology and foster student voice, choice, and agency in every classroom. With a strong focus on AI in education, robotics, and coding, she helps bridge the gap between tech and curriculum—making it approachable and meaningful for all learners. Frankie thrives on learning through collaboration and loves growing her network through communities, tools, and events that push the boundaries of what's possible in education. Connect With Frankie Frankie On X: https://x.com/baconedtech Frankie On Instagram: https://www.instagram.com/baconedtech/ Frankie On LinkedIn: https://www.linkedin.com/in/frankie-baker-9001636a/ Robolink Website: https://www.robolink.com Robolink On Linkedin: https://www.linkedin.com/company/robolinkinc/ Robolink On YouTube: https://www.youtube.com/@robolinkinc

This is a recap of the top 10 posts on Hacker News on October 29, 2025. This podcast was generated by wondercraft.ai (00:30): Keep Android OpenOriginal post: https://news.ycombinator.com/item?id=45742488&utm_source=wondercraft_ai(01:50): Uv is the best thing to happen to the Python ecosystem in a decadeOriginal post: https://news.ycombinator.com/item?id=45751400&utm_source=wondercraft_ai(03:11): Tell HN: Azure outageOriginal post: https://news.ycombinator.com/item?id=45748661&utm_source=wondercraft_ai(04:32): AWS to bare metal two years later: Answering your questions about leaving AWSOriginal post: https://news.ycombinator.com/item?id=45745281&utm_source=wondercraft_ai(05:52): Minecraft removing obfuscation in Java EditionOriginal post: https://news.ycombinator.com/item?id=45748879&utm_source=wondercraft_ai(07:13): YouTube is taking down videos on performing nonstandard Windows 11 installsOriginal post: https://news.ycombinator.com/item?id=45744503&utm_source=wondercraft_ai(08:34): Tips for stroke-surviving software engineersOriginal post: https://news.ycombinator.com/item?id=45742419&utm_source=wondercraft_ai(09:55): Who needs Graphviz when you can build it yourself?Original post: https://news.ycombinator.com/item?id=45742907&utm_source=wondercraft_ai(11:15): uBlock Origin Lite in Apple App StoreOriginal post: https://news.ycombinator.com/item?id=45742446&utm_source=wondercraft_ai(12:36): Kafka is Fast – I'll use PostgresOriginal post: https://news.ycombinator.com/item?id=45747018&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Most AI agent frameworks are backend-focused and written in Python, which introduces complexity when building full-stack AI applications with JavaScript or TypeScript frontends. This gap makes it harder for frontend developers to prototype, integrate, and iterate on AI-powered features. Mastra is an open-source TypeScript framework focused on building AI agents and has primitives such as The post Building AI Agents on the Frontend with Sam Bhagwat and Abhi Aiyer appeared first on Software Engineering Daily.

One small but fatal flaw of most LLMs?

Host Eric Chou talks with Jeff Kala, co-author of the newly released “Network Automation Cookbook 2nd Edition,” to discuss his book and the experiences that led him from networking to network automation author. They discuss Jeff’s learning style and why it was helpful when working on his book. Lastly, they dig into Jeff’s predictions on... Read more »

Host Eric Chou talks with Jeff Kala, co-author of the newly released “Network Automation Cookbook 2nd Edition,” to discuss his book and the experiences that led him from networking to network automation author. They discuss Jeff’s learning style and why it was helpful when working on his book. Lastly, they dig into Jeff’s predictions on... Read more »

Tune in to Colliers' Marty Mooradian sharing how curiosity about tech, coding, and AI is reshaping brokerage strategies and driving smarter deals in CRE.The Crexi Podcast connects CRE professionals with industry insights built for smart decision-making. In each episode, we explore the latest trends, innovations and opportunities shaping commercial real estate, because we believe knowledge should move at the speed of ambition and every conversation should empower professionals to act with greater clarity and confidence.  In this episode of The Crexi Podcast, host Shanti Ryle sits down with Marty to discuss his extensive experience and strategies in the commercial real estate sector. Marty shares his background in multifamily brokerage, his journey from political campaign fundraising to real estate, and his move to Colliers to build out their East Coast multifamily team. The conversation delves into Marty's approach to digital marketing, his venture into coding, and the use of AI tools to streamline real estate processes. Additionally, Marty provides insights on the current real estate market in Central Virginia, the impact of economic trends, and strategies for managing deals and building a successful brokerage team. This episode is packed with valuable information for anyone interested in commercial real estate, technology, and market strategies.Meet Marty Mooradian: Multifamily Broker ExtraordinaireMarty's Passion for Coding and LanguagesMarty's Journey in Commercial Real EstateChallenges and Lessons in BrokerageBuilding a Team at ColliersFinding a Niche in the Multifamily MarketThe Importance of Market MindsetEmbracing Technology in Real EstateBuilding a Web App: The Struggles and TriumphsFinding Zen in Real Estate and CodingThe AI Revolution: No Need to Code Every LineFrom DJing to Python: Automating TasksCreating a Virtual Assistant for BusinessThe Future of AI in Real EstateThe Importance of Coding KnowledgeCurrent Trends in the Central Virginia MarketChallenges and Creativity in Deal MakingAdvice for Future SuccessConclusion and Contact InformationFor show notes, past guests, and more CRE content, please check out Crexi's blog.Looking to stay ahead in commercial real estate? Visit Crexi to explore properties, analyze markets, and connect with opportunities nationwide. About Marty Mooradian:Marty is a seasoned multifamily broker with extensive experience in transacting assets in the $5 million to $30 million range. His accomplishments are many, including receiving the “Largest Deal Award” in the Carolina region of Marcus & Millichap. These accolades underscore his dedication and expertise in the real estate industry.Beyond his professional achievements, Marty embraces a wide array of passions. He has ventured into the world of coding, self-teaching himself Python and Ruby on Rails. He also has a deep appreciation for language and culture. He is currently immersed in learning two Armenian dialects and mastering the intricacies of the Armenian alphabet.Marty began his brokerage career with Marcus & Millichap, working in the multifamily sector for over 6 years. He possesses a significant expertise in digital marketing, utilizing innovative strategies to enhance online presence and engagement. His skills in this area have been instrumental in driving business growth and fostering stronger client relationships. For show notes, past guests, and more CRE content, please check out Crexi's blog.Looking to stay ahead in commercial real estate? Visit Crexi to explore properties, analyze markets, and connect with opportunities nationwide. Follow Crexi:https://www.crexi.com/​ https://www.crexi.com/instagram​ https://www.crexi.com/facebook​ https://www.crexi.com/twitter​ https://www.crexi.com/linkedin​ https://www.youtube.com/crexi

In this episode, we sit down with Paul Klein IV, Founder & CEO of Browserbase, to explore how his team is redefining the foundation of AI-driven browser automation. Browserbase provides the web browser infrastructure for AI agents and apps, and its open-source SDK, Stagehand, lets developers write automations using natural language - adapting seamlessly as websites evolve.Paul shares his belief that browser automation is a critical but underinvested primitive that future AI applications will depend on for years. He traces the journey from the limitations of traditional headless browsers and brittle RPA tools to the emergence of a cleaner, more adaptable framework built for the AI era.We dive into:Stagehand's design philosophy: minimal feature bloat and strong abstractions.Developer-first community: TypeScript and Python support driven by user demand and open-source contributions prioritized through community PRs.Director, Browserbase's new layer for non-technical users: “if v0 was for building websites, Director is for building automations.”How open source investment fuels both innovation and integration, and why Browserbase believes the next billion-dollar company will be built on top of its framework.The evolving relationship between AI agents and the web, touching on Cloudflare, automation ethics, and where the line lies between automation and scraping.Paul also reflects on inspiration from figures like Jeff Lawson, the importance of great abstractions for new developers, and the “moment of magic” when AI begins to work on your behalf.

Join Pure Storage Technical Evangelists Don Poorman and Mike Nelson as we dive into Pure Fusion and how Pure Storage is enabling users to focus less on managing storage and more on managing their data. We start by examining the complexities of managing storage and application workloads in today's rapidly evolving IT landscape. We expose the challenges posed by legacy vendor "portfolios" which often consist of disparate products lacking unified GUIs and APIs. Learn why a fundamental shift is necessary to eliminate silos in enterprise storage, moving beyond mere federation to true integration – a unified management plane with common APIs that seamlessly operate across the entire storage ecosystem. Poorman and Nelson underscore how this integration and automation are not just valuable for traditional workloads but will be absolutely critical for the future of AI implementation, especially for inference. Our discussion pivots to Pure Storage's groundbreaking solution: Fusion. Learn what Fusion is – a powerful capability included in the latest versions of the Purity operating environment that provides an intelligent control plane for a centralized, unified management experience across an entire fleet of arrays. Our experts explain how Fusion inherently adopts Pure's API-First strategy, offering robust automation capabilities through PowerShell SDK, Ansible, and Python. They highlight how Fusion drives management, compliance, and workload configuration consistency from a single pane of glass, and how it's a vital foundation of Pure's Enterprise Data Cloud (EDC) vision. Listeners and viewers will gain invaluable insights into the tangible benefits of Fusion, including the ability to provision storage on any array from any array within the same UI, search and manage storage resources globally, and reconfigure resources without needing to access a specific array. Poorman and Nelson also explore how Fusion simplifies and standardizes workload deployments with pre-configured definitions, enabling end-to-end workload orchestration. They touch upon future enhancements like seamless interoperability across file, object, and block storage in on-site, hybrid, and cloud environments, and the exciting prospect of workload mobility. 
 Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: 
https://purecommunity.purestorage.com/

Maintaining consistency across a sprawling codebase is one of the hardest challenges in software engineering. Denis Rechkunov, a Principal Software Engineer at Elastic, joins Robby to share how his team turned consistency into a cultural practice rather than a technical checklist. From managing open source projects with hundreds of contributors to experimenting safely with new patterns, Denis believes maintainability begins with shared ownership, not just clean code.He explains how Elastic introduced automation and linters to improve cohesion without discouraging creativity. Instead of enforcing perfection across the entire system, Denis' team scopes their changes to manageable areas and rewards steady progress over sweeping rewrites. Their annual “On Week” tradition gives engineers space to fix what frustrates them most, showing how small, focused bursts of work can produce big leaps in stability and morale.The conversation also explores the human side of maintainability. Denis recalls early lessons about unclear expectations, the importance of documenting decisions in public pull requests, and how open feedback loops build trust across remote teams. Whether it's stabilizing a flaky CI pipeline or mentoring new engineers, Denis argues that technical excellence thrives when consistency becomes a habit shared by everyone.Episode Highlights[00:01:02] Defining Well-Maintained SoftwareDenis identifies consistency, documentation, testability, and agility as the key ingredients of maintainable systems.[00:02:22] Balancing Standards and AutonomyHow automation and linters help preserve code cohesion while minimizing interpersonal friction.[00:04:08] Experimenting SafelyElastic scopes new patterns to low-risk modules before broader adoption, avoiding mass rewrites.[00:07:19] Incremental CleanupLinters only apply to changed files, helping the team fix issues gradually without overwhelming contributors.[00:08:02] Maintainability as a People ProblemDenis highlights that sustainable systems depend more on culture and mentorship than on architecture.[00:10:13] Lessons from MiscommunicationAn early experience showed the cost of undocumented conventions and unclear onboarding.[00:17:09] Making Space for Technical DebtElastic's engineers dedicate part of each sprint and an annual “On Week” to tackle maintenance work.[00:23:05] Restoring CI ReliabilityDenis shares how the team revived a pipeline with only a 10% success rate by categorizing failures and focusing on data.[00:32:00] Practicing Software ArchaeologyHe stresses the value of documenting discussions in pull requests to avoid historical guesswork later.[00:36:09] Feedback and TrustOpen communication, humility, and mutual feedback loops form the backbone of a maintainable culture.[00:51:00] Embracing Chaos in Open SourceDenis encourages teams to accept a degree of entropy and focus their efforts on user-facing stability.[01:00:00] Security and PrivacyWhy maintainability, trust, and privacy are inseparable pillars of long-term sustainability.[01:01:06] Where to StartInstead of rewriting code, start by cultivating maintainability as a shared value across the team.Resources MentionedElasticgolangci-lintAppSignalThe Caves of Steel by Isaac Asimov — Denis' recommendation inspired Robby to finally pick up a copy and start reading it himself.Denis's Blog – rdner.deDenis on GitHubDenis on MastodonDenis on LinkedInThanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

George Werbacher, Head of Security Operations at Live Oak Bank, reviews the practical realities of implementing AI agents in security operations, sharing his journey from exploring tools like Cursor and Claude Code to building custom agents in-house. He also reflects on the challenges of moving from local development to production-ready systems with proper durability and retry logic. The conversation explores how AI is changing the security analyst role from alert analysis to deeper investigation work, why SOAR platforms face significant disruption, and how MCP servers enable natural language interactions across security tools. George offers pragmatic advice on cutting through AI hype, emphasizing that agents augment rather than replace human expertise while dramatically lowering barriers to automation and query language mastery. Through technical insights and leadership perspective, George illuminates how security teams can embrace AI to improve operational efficiency and mean time to detect without inflating budgets, while maintaining the critical human judgment that effective security demands. Topics discussed: Understanding AI's role in augmenting security analysts rather than replacing them, shifting roles toward investigation and threat hunting. Building custom AI agents using Python and exploring frameworks like LangChain to solve specific SecOps use cases. Managing moving agents from local development to production, including retry logic, failbacks, and durability requirements. Implementing MCP servers to enable natural language interactions with security tools, eliminating the need to learn multiple query languages. Navigating AI hype by focusing on solving specific problems and understanding what agents can realistically accomplish. Predicting SOAR platform disruption as agents take over enrichment, orchestration, and response with simpler automation approaches. Removing platform barriers by enabling analysts to use natural language rather than mastering specific tools or query languages. Exploring context management, prompt engineering, and conversation history techniques essential for building effective agentic systems. Adopting tools like Cursor and Claude Code to empower technical security professionals without deep coding backgrounds.  Listen to more episodes:  Apple  Spotify  YouTube Website

Building a UI in Python usually means choosing between "quick and limited" or "powerful and painful." What if you could write modern, component-based web apps in pure Python and still keep full control? NiceGUI, pronounced "Nice Guy" sits on FastAPI with a Vue/Quasar front end, gives you real components, live updates over websockets, and it's running in production at Zauberzeug, a German robotic company. On this episode, I'm talking with NiceGUI's creators, Rodja Trappe and Falko Schindler, about how it works, where it shines, and what's coming next. With version 3.0 releasing around the same time this episode comes out, we spend the end of the episode celebrating the 3.0 release. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Rodja Trappe: github.com Falko Schindler: github.com NiceGUI 3.0.0 release: github.com Full LLM/Agentic AI docs instructions for NiceGUI: github.com Zauberzeug: zauberzeug.com NiceGUI: nicegui.io NiceGUI GitHub Repository: github.com NiceGUI Authentication Examples: github.com NiceGUI v3.0.0rc1 Release: github.com Valkey: valkey.io Caddy Web Server: caddyserver.com JustPy: justpy.io Tailwind CSS: tailwindcss.com Quasar ECharts v5 Demo: quasar-echarts-v5.netlify.app AG Grid: ag-grid.com Quasar Framework: quasar.dev NiceGUI Interactive Image Documentation: nicegui.io NiceGUI 3D Scene Documentation: nicegui.io Watch this episode on YouTube: youtube.com Episode #525 deep-dive: talkpython.fm/525 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Topics covered in this episode: Cyclopts: A CLI library * The future of Python web services looks GIL-free* * Free-threaded GC* * Polite lazy imports for Python package maintainers* Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @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: Cyclopts: A CLI library A CLI library that fixes 13 annoying issues in Typer Much of Cyclopts was inspired by the excellent Typer library. Despite its popularity, Typer has some traits that I (and others) find less than ideal. Part of this stems from Typer's age, with its first release in late 2019, soon after Python 3.8's release. Because of this, most of its API was initially designed around assigning proxy default values to function parameters. This made the decorated command functions difficult to use outside of Typer. With the introduction of Annotated in python3.9, type-hints were able to be directly annotated, allowing for the removal of these proxy defaults. The 13: Argument vs Option Positional or Keyword Arguments Choices Default Command Docstring Parsing Decorator Parentheses Optional Lists Keyword Multiple Values Flag Negation Help Defaults Validation Union/Optional Support Adding a Version Flag Documentation Brian #2: The future of Python web services looks GIL-free Giovanni Barillari “Python 3.14 was released at the beginning of the month. This release was particularly interesting to me because of the improvements on the "free-threaded" variant of the interpreter. Specifically, the two major changes when compared to the free-threaded variant of Python 3.13 are: Free-threaded support now reached phase II, meaning it's no longer considered experimental The implementation is now completed, meaning that the workarounds introduced in Python 3.13 to make code sound without the GIL are now gone, and the free-threaded implementation now uses the adaptive interpreter as the GIL enabled variant. These facts, plus additional optimizations make the performance penalty now way better, moving from a 35% penalty to a 5-10% difference.” Lots of benchmark data, both ASGI and WSGI Lots of great thoughts in the “Final Thoughts” section, including “On asynchronous protocols like ASGI, despite the fact the concurrency model doesn't change that much – we shift from one event loop per process, to one event loop per thread – just the fact we no longer need to scale memory allocations just to use more CPU is a massive improvement. ” “… for everybody out there coding a web application in Python: simplifying the concurrency paradigms and the deployment process of such applications is a good thing.” “… to me the future of Python web services looks GIL-free.” Michael #3: Free-threaded GC The free-threaded build of Python uses a different garbage collector implementation than the default GIL-enabled build. The Default GC: In the standard CPython build, every object that supports garbage collection (like lists or dictionaries) is part of a per-interpreter, doubly-linked list. The list pointers are contained in a PyGC_Head structure. The Free-Threaded GC: Takes a different approach. It scraps the PyGC_Head structure and the linked list entirely. Instead, it allocates these objects from a special memory heap managed by the "mimalloc" library. This allows the GC to find and iterate over all collectible objects using mimalloc's data structures, without needing to link them together manually. The free-threaded GC does NOT support "generations” By marking all objects reachable from these known roots, we can identify a large set of objects that are definitely alive and exclude them from the more expensive cycle-finding part of the GC process. Overall speedup of the free-threaded GC collection is between 2 and 12 times faster than the 3.13 version. Brian #4: Polite lazy imports for Python package maintainers Will McGugan commented on a LI post by Bob Belderbos regarding lazy importing “I'm excited about this PEP. I wrote a lazy loading mechanism for Textual's widgets. Without it, the entire widget library would be imported even if you needed just one widget. Having this as a core language feature would make me very happy.” https://github.com/Textualize/textual/blob/main/src/textual/widgets/__init__.py Well, I was excited about Will's example for how to, essentially, allow users of your package to import only the part they need, when they need it. So I wrote up my thoughts and an explainer for how this works. Special thanks to Trey Hunner's Every dunder method in Python, which I referenced to understand the difference between __getattr__() and __getattribute__(). Extras Brian: Started writing a book on Test Driven Development. Should have an announcement in a week or so. I want to give folks access while I'm writing it, so I'll be opening it up for early access as soon as I have 2-3 chapters ready to review. Sign up for the pythontest newsletter if you'd like to be informed right away when it's ready. Or stay tuned here. Michael: New course!!! Agentic AI Programming for Python I'll be on Vanishing Gradients as a guest talking book + ai for data scientists OpenAI launches ChatGPT Atlas https://github.com/jamesabel/ismain by James Abel Pets in PyCharm Joke: You're absolutely right

Fedora 43 arrives with polish, new spins, and a smarter installer; and one decision the rest of the Linux world should pay attention to.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: This open enrollment, take your power back. Join CrowdHealth to get started today for $99 for your first three months using code UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

Infostealer Targeting Android Devices This infostealer, written in Python, specifically targets Android phones. It takes advantage of Termux to gain access to data and exfiltrates it via Telegram. https://isc.sans.edu/diary/Infostealer%20Targeting%20Android%20Devices/32414 Attackers exploit recently patched Adobe Commerce Vulnerability CVE-2025-54236 Six weeks after Adobe's emergency patch, SessionReaper (CVE-2025-54236) has entered active exploitation. E-Commerce security company SanSec has detected multiple exploit attempts. https://sansec.io/research/sessionreaper-exploitation Patch for BIND and unbound nameservers CVE-2025-40780 The Internet Systems Consortium (ISC.org), as well as the Unbound project, patched a flaw that may allow for DNS spoofing due to a weak random number generator. https://kb.isc.org/docs/cve-2025-40780 WSUS Exploit Released CVE-2025-59287 Hawktrace released a walk through showing how to exploit the recently patched WSUS vulnerability https://hawktrace.com/blog/CVE-2025-59287

How does Python 3.14 perform under a few hand-crafted benchmarks? Does the performance of asyncio scale on the free-threaded build? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.

Using Syscall() for Obfuscation/Fileless Activity Fileless malware written in Python can uses syscall() to create file descriptors in memory, evading signatures. https://isc.sans.edu/diary/Using%20Syscall%28%29%20for%20Obfuscation%20Fileless%20Activity/32384 AWS Outages AWS has had issues most of the day on Monday, affecting numerous services. https://health.aws.amazon.com/health/status Time Server Hack China reports a compromise of its time standard servers. https://thehackernews.com/2025/10/mss-claims-nsa-used-42-cyber-tools-in.html