07-14, 11:20–11:50 (Europe/Dublin), The Auditorium
Python 3.11 is between 10% and 60% faster than Python 3.10, depending on the application.
We have achieved this in a fully portable way by making the interpreter adapt to the
program being run, and by streamlining key data structures.
In this talk I will explain what changes we have made, and how they improve performance.
The "Faster CPython" project aims to speed up Python, specifically CPython, by a large factor over the next few releases.
The first release to see the benefits of this work is Python 3.11.
Python 3.11 includes the following major changes:
- Adaptive specializing interpreter (PEP 659)
- Consecutively allocated execution frames
- Zero cost try-except
- More regular object layout
- Lazily created object dictionaries.
I will describe each of these, describing how each helps speed up Python, and how they interact with each other.
I will end the talk with some possible directions for Python 3.12.
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Abstract as a tweet –Python 3.11 is faster than 3.10. Find out how we have achieved this.
Expected audience expertise: Python –some
I've been using Python since 2005.
I have an extensive background in compilers, virtual machines and static analysis for dynamic languages, specifically Python.
After a long interlude working on static analysis tools, I have returned to performance work over the last couple of years.
I am currently working as technical lead with the "Faster CPython" team funded by Microsoft.