#544: Wheel Next + Packaging PEPs

#544: Wheel Next + Packaging PEPs

When you pip install a package with compiled code, the wheel you get is built for CPU features from 2009. Want newer optimizations like AVX2? Your installer has no way to ask for them. GPU support? You're on your own configuring special index URLs. The result is fat binaries, nearly gigabyte-sized wheels, and install pages that read like puzzle books. A coalition from NVIDIA, Astral, and QuanSight has been working on Wheel Next: A set of PEPs that let packages declare what hardware they need and let installers like uv pick the right build automatically. Just uv pip install torch and it works. I sit down with Jonathan Dekhtiar from NVIDIA, Ralf Gommers from Quansight and the NumPy and SciPy teams, and Charlie Marsh, founder of Astral and creator of uv, to dig into all of it.

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#514: Python Language Summit 2025

#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 2025. Those meetings are closed door to keep focused ...

18 Heinä 20251h 13min

#513: Stories from Python History

#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 behind them. If that speaks to you, then I have the ...

14 Heinä 20251h 8min

#512: Building a JIT Compiler for CPython

#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 back Brandt Bucher to give us an update on the up...

2 Heinä 20251h 8min

#511: From Notebooks to Production Data Science Systems

#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 joined by Catherine Nelson to discuss techniques and...

25 Kesä 202554min

#510: 10 Polars Tools and Techniques To Level Up Your Data Science

#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 of course. But you might not be aware of all the ...

18 Kesä 20251h 2min

#509: GPU Programming in Pure Python

#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 language such as C++. But the folks over at NVIDIA ...

11 Kesä 202557min

#508: Program Your Own Computer with Python

#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 back on the podcast to talk about "Programming YOUR ...

6 Kesä 20251h 11min

#507: Agentic AI Workflows with LangGraph

#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 tools and take further action based on what it has l...

2 Kesä 20251h 3min