Cloudflare has promoted Python Workers from beta to general availability, making Python a fully supported language alongside TypeScript on its serverless edge platform. The move completes a two-year effort to run Pyodide — a WebAssembly-compiled CPython interpreter — inside the Workers runtime, with native support for FastAPI, Django, Flask, and direct bindings to Cloudflare's platform services including Workers AI, R2, D1, Queues, and Durable Objects. The most significant engineering change is the elimination of the JavaScript interop tax. Previously, Python developers had to manually convert Python objects to JavaScript types at every RPC boundary — a friction point that tripped up both humans and AI code generators. Cloudflare moved the entire type conversion layer into the runtime and Python SDK, so calling a Queue or AI binding now looks like native Python. This is a DX improvement, but it also signals that Cloudflare considers Python developers a first-class acquisition target, not an afterthought. Framework support works through WSGI/ASGI connectors that bridge Python's standard web server interface to the Workers runtime. The platform itself acts as the web server — no Uvicorn or Gunicorn needed — while Cloudflare's network handles load balancing and scaling. This is elegant architecture: it lets developers bring existing FastAPI or Django apps with minimal code changes while Cloudflare captures them into its infrastructure moat. The TCP socket implementation is the quiet infrastructure win. Python database drivers like asyncpg and aiomysql rely on POSIX socket calls, which are stubbed out inside WebAssembly sandboxes. Cloudflare implemented socket syscalls using the Workers connect API, translating standard Python socket operations into JavaScript runtime calls at the system-call level. This makes Hyperdrive (Cloudflare's database proxy) usable from Python Workers with PostgreSQL and MySQL, closing a critical gap for real-world applications. The longest-range bet is PEP 783, which Cloudflare proposed and shepherded through acceptance. It standardizes a platform tag (PyEmscripten) for Python packages compiled to WebAssembly, and Cloudflare contributed tooling to cibuildwheel so package maintainers can build Wasm wheels without specialized knowledge. This is classic platform strategy: by making the standard benefit the entire Python-on-Wasm ecosystem (including Pyodide in browsers), Cloudflare gets ecosystem tailwinds without bearing the full maintenance cost. If PyEmscripten adoption reaches critical mass, the package availability problem that has historically limited Wasm-based Python environments largely disappears. The competitive context matters. AWS Lambda, Google Cloud Functions, and Vercel all support Python, but none run it at the edge via WebAssembly. Cloudflare's approach trades cold-start performance (Wasm interpretation overhead) for deployment ubiquity across 300+ edge locations. The bet is that for AI agent workloads, API servers, and data pipelines — the use cases Cloudflare is explicitly targeting — edge latency gains outweigh Wasm overhead. This is a generative move that expands the addressable developer population for Cloudflare's platform while contributing genuine public goods (PEP 783, cibuildwheel patches, Pyodide improvements). The extraction risk is familiar: Cloudflare is building a platform moat with generous on-ramps. The bindings are Pythonic, but they bind to Cloudflare. If Python-on-Wasm succeeds broadly, Cloudflare has the best-integrated offering. If it remains niche, Cloudflare still captured Python developers who would otherwise have stayed on Lambda.