Лучшие подкасты про Talk Python (2026)

1
#533: Web Frameworks in Prod by Their Creators 1:01:58

22h ago1:01:58

1:01:58

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 D…

1
#532: 2025 Python Year in Review 1:18:32

9d ago1:18:32

1:18:32

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…

1
#531: Talk Python in Production 1:21:13

20d ago1:21:13

1:21:13

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 …

1
#530: anywidget: Jupyter Widgets made easy 1:11:21

25d ago1:11:21

1:11:21

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 interact…

1
#529: Computer Science from Scratch 1:17:00

1M ago1:17:00

1:17:00

A lot of people building software today never took the traditional CS path. They arrived through curiosity, a job that needed automating, or a late-night itch to make something work. This week, David Kopec joins me to talk about rebuilding computer science for exactly those folks, the ones who learned to program first and are now ready to understan…

1
#528: Python apps with LLM building blocks 1:16:46

1M ago1:16:46

1:16:46

In this episode, I’m talking with Vincent Warmerdam about treating LLMs as just another API in your Python app, with clear boundaries, small focused endpoints, and good monitoring. We’ll dig into patterns for wrapping these calls, caching and inspecting responses, and deciding where an LLM API actually earns its keep in your architecture. Episode s…

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#527: MCP Servers for Python Devs 1:06:25

2M ago1:06:25

1:06:25

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 kee…

1
#526: Building Data Science with Foundation LLM Models 1:07:24

2M ago1:07:24

1:07:24

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…

1
#525: NiceGUI Goes 3.0 1:17:46

2M ago1:17:46

1:17:46

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 runni…

1
#524: 38 things Python developers should learn in 2025 1:09:15

3M ago1:09:15

1:09:15

Python in 2025 is different. Threads really are about to run in parallel, installs finish before your coffee cools, and containers are the default. In this episode, we count down 38 things to learn this year: free-threaded CPython, uv for packaging, Docker and Compose, Kubernetes with Tilt, DuckDB and Arrow, PyScript at the edge, plus MCP for sane …

1
#523: Pyrefly: Fast, IDE-friendly typing for Python 1:07:00

3M ago1:07:00

1:07:00

Python typing got fast enough to feel invisible. Pyrefly is a new, open source type checker and IDE language server from Meta, written in Rust, with a focus on instant feedback and real-world DX. Today, we will dig into what it is, why it exists, and how it plays with the rest of the typing ecosystem. We have Abby Mitchell, Danny Yang, and Kyle Int…

1
#522: Data Sci Tips and Tricks from CodeCut.ai 1:09:32

3M ago1:09:32

1:09:32

Michael Kennedy (@mkennedy)

1
#521: Red Teaming LLMs and GenAI with PyRIT 1:02:40

3M ago1:02:40

1:02:40

English is now an API. Our apps read untrusted text; they follow instructions hidden in plain sight, and sometimes they turn that text into action. If you connect a model to tools or let it read documents from the wild, you have created a brand new attack surface. In this episode, we will make that concrete. We will talk about the attacks teams are…

Подкасты, которые стоит послушать

Подкасты на тему Talk Python

Подкасты, которые стоит послушать

1
Talk Python To Me

Michael Kennedy

1
Talk Python To Me (SoundCloud)

Michael Kennedy

1
#533: Web Frameworks in Prod by Their Creators 1:01:58

1
#532: 2025 Python Year in Review 1:18:32

1
#531: Talk Python in Production 1:21:13

1
#530: anywidget: Jupyter Widgets made easy 1:11:21

1
#529: Computer Science from Scratch 1:17:00

1
#528: Python apps with LLM building blocks 1:16:46

1
#527: MCP Servers for Python Devs 1:06:25

1
#526: Building Data Science with Foundation LLM Models 1:07:24

1
#525: NiceGUI Goes 3.0 1:17:46

1
#524: 38 things Python developers should learn in 2025 1:09:15

1
#523: Pyrefly: Fast, IDE-friendly typing for Python 1:07:00

1
#522: Data Sci Tips and Tricks from CodeCut.ai 1:09:32

1
#521: Red Teaming LLMs and GenAI with PyRIT 1:02:40

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