Python, every mention
12 scenes (said by Samuel Colvin) · ← back to Python
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Verbatim, from the transcripts: the passages where Python comes up
⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic
- ▶ 0:46 Samuel Colvin And now here I am building this, like, if you want a big pejorative slop fork of Python, mostly with AI, I think it's incredibly powerful.
- ▶ 5:03 Samuel Colvin And then the other massive win is latency, because if you can have a Python interpreter that runs inside the same process, you're looking at a boot time.
- ▶ 11:15 Samuel Colvin I mean, I think the other thing to say is like, I, I wanted to implement the like, 20 or so built-in functions available in Python. 4 times in the scene
- ▶ 25:04 Samuel Colvin So you, you see here, like we have the system prompt where we've basically told it what Python, what, what, what code it can use. 4 times in the scene
- ▶ 30:50 Samuel Colvin And I think if we get to that point, we resort to Python or we resort to Monty for some of that stuff.
Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire
- ▶ 1:46 Samuel Colvin I think the success of Pydantic and libraries like fast API that build on top of it means that today that's no longer controversial in Python.
- ▶ 3:58 Samuel Colvin Not convert to Python types. 2 times in the scene
- ▶ 5:52 Samuel Colvin Like we're going to go off and three engineers are going to work full on for a year in Python and Rust. 3 times in the scene
- ▶ 8:11 Samuel Colvin Looking in general at the ecosystem of agent frameworks, the engineering quality is far below that of the rest of the Python ecosystem. 4 times in the scene
- ▶ 11:11 Samuel Colvin I was sort of of the opinion you didn't need them, and you could use standard, like, Python flow control to do all of that stuff. 2 times in the scene
- ▶ 21:48 Samuel Colvin Because my, like, just call the next agent with Python code was not a satisfactory answer to people, so it was like, okay, we gotta go and have a better answer for that, that, like,
- ▶ 50:11 Samuel Colvin If you search Datadog logging Python and you just try as a like a non-observability expert to get something up and running with Datadog and Python. 4 times in the scene