Most of OpenAI's tech stack runs on Python, using FastAPI for building APIs quickly, C for optimizations, and Temporal for asynchronous workflows.
PyPI's test suite was made 81% faster by steps such as parallelizing test execution, using Python 3.12's features, optimizing test discovery, and eliminating unnecessary imports.
Python enthusiasts can find interesting PyCon talks on YouTube covering topics from FOSS work to JIT compiler building and design pressure in code.
Optimizing Python import performance involves techniques like lazy imports, avoiding circular imports, and optimizing __init__.py files for faster loading.
PEPs & Co. and updates to pythontest.com are some of the extras shared, along with resources like git-bug and a Pyrefly follow-up.
Python enthusiasts can catch up on Python-related updates and jokes including a humorous take on programmer humor shared in the episode.