Python Workers now feature improved cold start performance, reducing initialization time for new Worker instances. This improvement is particularly noticeable for Workers with larger dependency sets or complex initialization logic. Every time you deploy a Python Worker, a memory snapshot…

We are introducing a brand new tool called Pywrangler, which simplifies package management in Python Workers by automatically installing Workers-compatible Python packages into your project. With Pywrangler, you specify your Worker's Python dependencies in your pyproject.toml file: [project]name = "python-beautifulsoup-worker"version…