Talk Python To Me
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Talk Python To Me
Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly lear...
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531 епизода
#532: 2025 Python Year in Review
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 multi...
#531: Talk Python in Production
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...
#530: anywidget: Jupyter Widgets made easy
For years, building interactive widgets in Python notebooks meant wrestling with toolchains, platform quirks, and a mountain of JavaScript machinery....
#529: Computer Science from Scratch
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-ni...
#528: Python apps with LLM building blocks
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 e...
#527: MCP Servers for Python Devs
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 acros...
#526: Building Data Science with Foundation LLM Models
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...
#525: NiceGUI Goes 3.0
Building a UI in Python usually means choosing between "quick and limited" or "powerful and painful." What if you could write modern, component-based...
#524: 38 things Python developers should learn in 2025
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...
#523: Pyrefly: Fast, IDE-friendly typing for Python
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...
#522: Data Sci Tips and Tricks from CodeCut.ai
Today we’re turning tiny tips into big wins. Khuyen Tran, creator of CodeCut.ai, has shipped hundreds of bite-size Python and data science snippets ac...
#521: Red Teaming LLMs and GenAI with PyRIT
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...
#520: pyx - the other side of the uv coin (announcing pyx)
A couple years ago, Charlie Marsh lit a fire under Python tooling with Ruff and then uv. Today he’s back with something on the other side of that coin...
#519: Data Science Cloud Lessons at Scale
Today on Talk Python: What really happens when your data work outgrows your laptop. Matthew Rocklin, creator of Dask and cofounder of Coiled, and Nat...
#518: Celebrating Django's 20th Birthday With Its Creators
Twenty years after a scrappy newsroom team hacked together a framework to ship stories fast, Django remains the Python web framework that ships real a...
#517: Agentic Al Programming with Python
Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we...
#516: Accelerating Python Data Science at NVIDIA
Python’s data stack is getting a serious GPU turbo boost. In this episode, Ben Zaitlen from NVIDIA joins us to unpack RAPIDS, the open source toolkit...
#515: Durable Python Execution with Temporal
What if your code was crash-proof? That's the value prop for a framework called Temporal. Temporal is a durable execution platform that enables develo...
#514: Python Language Summit 2025
Every year the core developers of Python convene in person to focus on high priority topics for CPython and beyond. This year they met at PyCon US 202...
#513: Stories from Python History
Why do people listen to this podcast? Sure, they're looking for technical explorations of new libraries and ideas. But often it's to hear the story be...
#512: Building a JIT Compiler for CPython
Do you like to dive into the details and intricacies of how Python executes and how we can optimize it? Well, do I have an episode for you. We welcome...
#511: From Notebooks to Production Data Science Systems
See the full show notes for this episode on the website at talkpython.fm/511
#510: 10 Polars Tools and Techniques To Level Up Your Data Science
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#509: GPU Programming in Pure Python
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#508: Program Your Own Computer with Python
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#507: Agentic AI Workflows with LangGraph
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#506: ty: Astral's New Type Checker (Formerly Red-Knot)
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#505: t-strings in Python (PEP 750)
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#504: Developer Trends in 2025
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#503: The PyArrow Revolution
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#502: Django Ledger: Accounting with Python
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#501: Marimo - Reactive Notebooks for Python
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#500: Django Simple Deploy and other DevOps Things
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#499: BeeWare and the State of Python on Mobile
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#498: Algorithms for high performance terminal apps
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#497: Outlier Detection with Python
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#496: Scaf: Complete blueprint for new Python Kubernetes projects
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#495: OSMnx: Python and OpenStreetMap
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#494: Update on Flet: Python + Flutter UIs
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#493: Quarto: Open-source technical publishing
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