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python-performance-optimization

使用cProfile、内存分析器及性能最佳实践来剖析和优化Python代码。适用于调试Python代码运行缓慢、优化瓶颈或提升应用性能的场景。

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name:python-performance-optimizationdescription:Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

Python Performance Optimization

Comprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.

Use this skill when

  • Identifying performance bottlenecks in Python applications

  • Reducing application latency and response times

  • Optimizing CPU-intensive operations

  • Reducing memory consumption and memory leaks

  • Improving database query performance

  • Optimizing I/O operations

  • Speeding up data processing pipelines

  • Implementing high-performance algorithms

  • Profiling production applications

    • Do not use this skill when

  • The task is unrelated to python performance optimization

  • You need a different domain or tool outside this scope

    • Instructions

  • Clarify goals, constraints, and required inputs.

  • Apply relevant best practices and validate outcomes.

  • Provide actionable steps and verification.

  • If detailed examples are required, open resources/implementation-playbook.md.

    • Resources

  • resources/implementation-playbook.md for detailed patterns and examples.

      • python-performance-optimization - Agent Skills