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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522 ຕອນ
#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
If you're doing data science and have mostly spent your time doing exploratory or just local development, this could be the episode for you. We are jo...
#510: 10 Polars Tools and Techniques To Level Up Your Data Science
Are you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly...
#509: GPU Programming in Pure Python
If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming l...
#508: Program Your Own Computer with Python
If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph ba...
#507: Agentic AI Workflows with LangGraph
If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use to...
#506: ty: Astral's New Type Checker (Formerly Red-Knot)
The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. Yo...
#505: t-strings in Python (PEP 750)
Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted...
#504: Developer Trends in 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...
#503: The PyArrow Revolution
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...
#502: Django Ledger: Accounting with Python
See the full show notes for this episode on the website at talkpython.fm/502
#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
See the full show notes for this episode on the website at talkpython.fm/496
#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
See the full show notes for this episode on the website at talkpython.fm/493
#492: Great Tables
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#491: DuckDB and Python: Ducks and Snakes living together
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#490: Django Ninja
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#489: Anaconda Toolbox for Excel and more with Peter Wang
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#488: Multimodal data with LanceDB
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#487: Building Rust Extensions for Python
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#486: CSnakes: Embed Python code in .NET
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#485: Secure coding for Python with SheHacksPurple
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#484: From React to a Django+HTMX based stack
See the full show notes for this episode on the website at talkpython.fm/484