How good are you on Python?

I have over three years of professional experience using Python across multiple domains, including data analysis, web development, and automation. I am comfortable with core language features such as list comprehensions, generators, decorators, and context managers. In data science, I routinely use pandas for data manipulation, NumPy for numerical operations, and scikit‑learn for machine learning pipelines. For web services, I have built REST APIs with Flask and FastAPI, and I am familiar with asynchronous programming using asyncio. I write unit tests with pytest, use virtual environments and Docker for reproducibility, and integrate continuous integration pipelines with GitHub Actions. I also have experience profiling code with cProfile and optimizing performance-critical sections. My workflow includes version control with Git, code reviews, and documentation using Sphinx or Markdown. Overall, I can write clean, maintainable Python code, troubleshoot bugs efficiently, and collaborate effectively in a team setting.