Python for Data Engineering

Independent skill assessment covering the Python a data engineer actually writes: pandas and NumPy, file and serialization formats, HTTP APIs with retries and pagination, errors and logging, testing and type hints, performance and memory, and dates across timezones. Written and maintained here — not a credential. Free for registered users.