Cloudflare has made significant improvements to its Python Workers, enhancing the overall experience for developers. With the introduction of package support via Pyodide, users can now incorporate any package supported by this WebAssembly runtime, which includes pure Python packages and many that use dynamic libraries. This development allows for a more flexible and native Python experience, replacing the limited set of built-in packages previously available. One of the standout features is the implementation of dedicated memory snapshots, which drastically reduce cold start times. In tests, Cloudflare's Python Workers start more than 2.4 times faster than AWS Lambda without SnapStart and three times faster than Google Cloud Run when loading common packages like httpx, FastAPI, and Pydantic. These cold start times average around 1.027 seconds for Cloudflare, compared to 2.502 seconds for AWS and 3.069 seconds for Google Cloud Run. The architecture of Workers, which is isolate-based, plays a key role in achieving these performance metrics. For deployment, developers can launch a FastAPI app in under two minutes using a few simple commands with the Pywrangler tool. This tool integrates tightly with the uv package manager, allowing for easy dependency management. Type hints can also be generated automatically, enhancing code quality and developer productivity. Overall, these advancements position Cloudflare as a strong contender in the serverless space, especially for Python developers looking for speed and flexibility.