Mark Shannon
Mark has been using Python since 2005, and has been contributing to CPython since 2010. After a long interlude working on static analysis tools, he has returned to working on speeding up Python over the last couple of years. His academic and commercial work is focused on compilers, virtual machines and static analysis for Python. His PhD was on building virtual machines for dynamic languages. He is the author of various PEPs including 412, 590, 626 and 659. Mark is currently working for Microsoft as the technical lead of the "Faster CPython" team.
Sessions
Python 3.11 is considerably faster than 3.10.
How did we do that? And how are we going to make 3.12 and following releases even faster?
In this talk, I will present a high level overview of the approach we are taking to speeding up CPython. Starting with a simple overview of some basic principles, I will show how we can apply those to streamline and speedup CPython. I will try to avoid computer science and software engineering terminology, in favor of diagrams, a few simple examples, and some high-school math. Finally, I make some estimates about how much faster the next few releases of CPython will be, and how much faster Python could go.
Come meet the folks who make the Python programming language!
A panel discussion of core Python developers will take place on Wednesday at 2pm. Hear what's on their mind, what they're working on, and what the future holds for Python.
The panel will include:
* sitting Steering Council member Pablo Galindo Salgado;
* cybersecurity expert and aspiring core developer Marta Gómez Macías who made f-strings much better in 3.12;
* CPython's Windows expert Steve Dower;
* Red Hat veteran and emeritus Steering Council member Petr Viktorin;
* and the tech lead of Microsoft's "Faster Python" team Dr. Mark "HotPy" Shannon.
The panel will be chaired by Łukasz "Any-color-you-like-as-long-as-it's-black" Langa.