The CPython codebase can be linted from scratch in just 0.3 seconds using Ruff, a tool written in Rust. Rust is increasingly being adopted within the Python ecosystem, appearing in popular tools like Pydantic, Polars, uv, and Granian. This integration of Rust with Python serves three main purposes: standalone tools, libraries imported by Python, and servers that embed Python interpreters. The focus is on making Rust accessible to Python developers, not requiring deep Rust expertise. Christopher Trudeau discusses this trend and his new course, "Up and Running with Rust." A fundamental difference between Python and Rust is memory management, where Python relies on garbage collection, while Rust enforces strict ownership rules at compile time. This talk explores how Rust is being leveraged to enhance Python development. It also mentions various sponsored products and resources for learning more about Rust and its applications. The episode provides extensive links to relevant projects, documentation, and related content. The discussion highlights the growing synergy between the Rust and Python communities.