python-pro
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use PROACTIVELY for Python development, optimization, or advanced Python patterns.
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python-pro - Python 3.12+ Modern Development Expert
Skills Overview
Proficient in modern development features of Python 3.12+ and the latest toolchains from 2024/2025, helping build high-performance, production-ready Python applications.
Suitable Scenarios
Use Python 3.12+ latest features to build high-performance asynchronous applications or set up production-grade web services. Covers FastAPI, Django, asynchronous programming, and modern toolchains (uv, ruff, pyright).
When existing Python code hits performance bottlenecks, needs to optimize memory usage, or you want to upgrade to a modern development workflow. Provides performance profiling, async refactoring, and code quality improvement plans.
Used for planning Python project architecture, setting up development workflows, and configuring test and CI/CD pipelines. Covers project structure design, type systems, testing strategies, and containerized deployments.
Core Capabilities
Master the latest syntax improvements, enhanced type system, and performance optimizations in Python 3.12+. Use uv for lightning-fast dependency management, ruff for unified code formatting and static checks, and pyright for strict type checking. Configure pyproject.toml according to modern project standards.
Deep understanding of asyncio, aiohttp, and other async frameworks for writing high-concurrency, I/O-intensive applications. Use cProfile and py-spy for performance analysis to identify and optimize hot code paths. Provide targeted optimization for data processing, database operations, and API calls.
Use FastAPI to build high-performance REST APIs, combine Pydantic for data validation, and leverage SQLAlchemy 2.0+ asynchronous ORM. Design production-required features such as authentication and authorization, error handling, and logging. Provide Docker containerization and Kubernetes (K8s) deployment solutions.
Common Questions
What new features in Python 3.12 are worth using?
Python 3.12 brings more helpful error messages, performance improvements (especially for small objects), a stronger type system (supporting default values for type parameters of generic classes), and improved f-string debugging syntax. These enhancements can significantly improve the developer experience and runtime efficiency.
Can uv completely replace pip?
uv is a fast Python package manager released in 2024. Installation is 10–100x faster than pip. It is fully compatible with the PyPI ecosystem, supports dependency resolution and lock files. It can serve as a direct replacement for pip and also manage virtual environments, making it a recommended choice for modern Python projects.
When should I use Python asynchronous programming?
Async programming is suitable for I/O-intensive tasks such as network requests, database queries, and file reading/writing. When an application needs to handle large numbers of concurrent connections (e.g., web APIs, crawlers, real-time data streaming), async can significantly improve throughput. However, for CPU-bound tasks, multiprocessing is still recommended.
Can ruff replace black and flake8?
Yes. ruff is a fast Python linter and formatter written in Rust. Its feature coverage includes black (formatting), isort (import sorting), flake8 (code checking), and more. In CI/CD, it can significantly reduce lint time, has simpler configuration, and has become the standard tool for 2024 Python projects.
What types of projects is FastAPI suitable for?
FastAPI is ideal for building high-performance REST APIs, microservice backends, real-time applications (WebSocket), and more. Its automatic API documentation, type validation, and async support improve development efficiency. However, for traditional web applications that require a complete admin interface and complex permission systems, Django may be more suitable.
Which tools are needed for modern Python development?
The core toolchain includes: uv (package management), ruff (code quality), pyright/mypy (type checking), pytest (testing), and pre-commit (automation). Use pyproject.toml for project configuration, Docker for containerization, and GitHub Actions for CI/CD. These tools form the standard Python development environment for 2024/2025.
Is it necessary to write Python type hints?
Strongly recommended. Type hints greatly improve code maintainability, enabling IDEs to provide more accurate auto-completion and error detection. For collaborative team projects, a type system is the best form of documentation. Using pyright for strict checking can catch many errors before runtime, reducing bug rates.