Python: JIT Gets Smarter and Core Gets Cleaner
Python's JIT compiler just got a major performance boost with in-place float operations, while the core team tackled some serious cleanup work across 96 files. We also got better debugging support for JIT frames and improved OpenSSL 4.0 compatibility, showing Python's commitment to both performance and future-proofing.
Duration: PT4M13S
Episode overview
This episode is a short developer briefing from Python.
It explains recent repository work in plain language.
- Show: Python
- Published: 2026-03-25T10:32:00Z
- Audio duration: PT4M13S
Transcript excerpt
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Hey there, Python developers! Welcome back to another episode. I'm so excited to chat with you today because we've got some really fascinating changes that landed yesterday. Grab your coffee, because we're diving into some seriously cool stuff.
So, seventeen pull requests merged yesterday, and honestly, it feels like the Python core team had one of those super productive days where everything just clicks. You know those days where you're in the zone and every commit feels like a small victory? That's exactly what this looks like.
Let's start with the absolute star of the show - Pieter Eendebak just dropped some serious JIT magic. This pull request is all about making float operations blazingly fast by doing something really clever. Instead of creating new objects every time you do math with floats, the JIT now checks if it's the only one…
Now, here's something that'll make your debugging life easier. Brandt Bucher just made it possible for native profilers and debuggers to actually see through JIT frames. If you've ever tried to debug JIT-compiled code and felt like you were looking into a black box, this is your moment. They've enabled frame…
But wait, there's more performance…
Speaki…
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