Python Workers redux: fast cold starts, packages, and a uv-first workflow

This post details the technical advancements in Cloudflare Workers for Python support. Key contributions include: 1. Integration of Pyodide for running Python in WebAssembly, enabling support for pure Python packages and many dynamic library packages. 2. Development of `pywrangler` tooling around `uv` for simplified package management and deployment. 3. Implementation of memory snapshots for significantly reducing Python Worker cold start times (over 2.4x faster than AWS Lambda without SnapStart), achieved by capturing and restoring the Pyodide runtime's linear memory. 4. Strategies for handling entropy at startup to ensure proper randomness after memory snapshot restoration. 5. Generation of type hints for Worker bindings using `pywrangler types` for improved developer experience with tools like Pylance and mypy.