#541: Monty - Python in Rust for AI

#541: Monty - Python in Rust for AI

When LLMs write code to accomplish a task, that code has to actually run somewhere. And right now, the options aren't great. Spin up a sandboxed container and you're paying a full second of cold start overhead plus the complexity of another service. Let the LLM loose on your actual machine and... well, you'd better be watching. On this episode, I sit down with Samuel Colvin, creator of Pydantic, now at 10 billion downloads, to explore Monty, a Python interpreter written from scratch in Rust, purpose-built to run LLM-generated code. It starts in microseconds, is completely sandboxed by design, and can even serialize its entire state to a database and resume later. We dig into why this deliberately limited interpreter might be exactly what the AI agent era needs.

Jaksot(541)

#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

#506: ty: Astral's New Type Checker (Formerly Red-Knot)

#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. You may have known it as Red-Knot. But it's coming u...

19 Touko 20251h 4min

#505: t-strings in Python (PEP 750)

#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 values into strings. And we have string.format() w...

13 Touko 20251h 11min

#504: Developer Trends in 2025

#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 flash in the pan? I love these forward looking epi...

5 Touko 20251h 9min

#503: The PyArrow Revolution

#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 upon numpy. But changes are afoot to update those ...

28 Huhti 20251h 8min