python-expert

To implement asynchronous API calls in Python, use the asyncio library to manage concurrent task execution. This Skill provides expertise on structuring async operations to handle multiple network requests efficiently without blocking the main thread.

Best practices for adding type hints to a legacy Python script involve progressively annotating function signatures to enforce type safety and PEP 8 compliance. This Skill guides you through refactoring code to be well-typed, clean, and testable.

Optimizing Python performance requires profiling critical sections to identify bottlenecks and applying modern execution strategies. This Skill offers specific advice on performance optimization techniques to make your code run more efficiently.

Configuring pyproject.toml for modern Python packaging involves defining build systems and project metadata correctly. This Skill provides best practices for managing dependencies and virtual environments to ensure robust project setups.

Yes, this guidance supports concurrent task execution by leveraging asyncio for asynchronous programming. It addresses common patterns and pitfalls to help you write efficient, maintainable code for concurrent workloads.