Diego Russo

Running Python natively on Windows on Arm requires more than a working interpreter. To have the best developer experience, it depends on compilers, packaging, binary wheels, CI infrastructure, and support from the wider library ecosystem.

This talk is a follow-up to my EuroPython 2025 session on the foundations of the CPython JIT compiler. It looks at how the JIT has evolved since Python 3.14 and where it stands as Python 3.15 approaches release.

I’ll explore CPython’s new Just-In-Time (JIT) compiler in Python 3.14. We’ll cover how JIT works, its performance improvements, and my contributions to the project. Attendees will learn how to enable the JIT, apply it in real applications, and engage with open-source Python development.

In this talk, we will explore the world of Just-In-Time (JIT) compilation within the CPython interpreter. As Python continues to grow in popularity, performance enhancements are crucial to meet the demands of modern applications.

Arm is everywhere technology matters: 250+ billion chips in everything from sensors to smartphones to servers. Due to its simplicity, versatility, and growth in popularity over the past decade Python is the most used language in the world.