Describe Your Python Experience

# Describe Your Python Experience Describe your practical Python experience, including the kinds of systems or analyses you built, quality practices, and limits of your expertise. ### Constraints & Assumptions - Use concrete work rather than a list of libraries. - Distinguish production experience from prototypes or coursework. - Discuss testing, packaging, typing, performance, or operations where relevant. ### Clarifying Questions to Ask - Was the code a service, pipeline, automation, or analysis? - How was correctness tested? - Where did Python stop being the right tool? ```hint Show the engineering context A language is credible experience only when the answer explains what was built and how it was maintained. ``` ### What a Strong Answer Covers - Representative Python work and your contribution. - Testing, dependency, observability, and deployment practices. - A debugging or performance lesson. - Honest boundaries and how you choose another tool. ### Follow-up Questions 1. How do you keep a large Python codebase maintainable? 2. Describe a performance problem you would not solve by micro-optimizing Python.