Python: Memory and Performance Powerhouse
Today brings some serious performance wins with huge pages support for pymalloc and optimized Base64 decoding, plus important fixes for free-threaded builds and memory leaks. Pablo Galindo leads the charge on memory optimization while contributors tackle everything from reference counting to build system updates.
Duration: PT3M52S
Episode overview
This episode is a short developer briefing from Python.
It explains recent repository work in plain language.
- Show: Python
- Published: 2026-01-30T11:15:14Z
- Audio duration: PT3M52S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Hey there, Python developers! Welcome back to another episode. I'm your host, and wow, do we have some exciting stuff to dig into today. Grab your favorite beverage because we're talking about some really meaty performance improvements and some solid engineering wins that just landed in CPython.
Let's jump right into the big story of the day - huge pages support for pymalloc! Pablo Galindo just merged a fantastic contribution that adds huge pages support to Python's memory allocator. Now, if you're not familiar with huge pages, think of them as Python asking the operating system for bigger chunks of memory…
Speaking of performance, Serhiy Storchaka delivered another win with Base64 decoding optimizations. This one's really clever - when you're decoding Base64 data that contains characters that should be ignored, the decoder now tries the fast path again after handling the slow cases. Plus there's a bitmap cache for…
We also got some love for the free-threading build, which is Python's exciting new parallel execution model. Pieter Eendebak tackled reference counting contention in bitwise operations on large integers. The fix avoids unnecessary increment and decrement operations that…
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