python-performance
CommunityOptimize Python code for speed and efficiency.
Authordandudzi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses performance bottlenecks in Python applications, enabling faster execution and reduced memory consumption.
Core Features & Use Cases
- Profiling: Identify CPU and memory hotspots using tools like cProfile, memory_profiler, and scalene.
- Optimization Techniques: Apply strategies such as vectorization with NumPy/pandas, efficient data structure selection, caching, and concurrency patterns (asyncio, multiprocessing).
- Use Case: Debug a slow data processing pipeline by profiling it to find the N+1 query issue or inefficient list comprehensions, then refactor using eager loading or generators.
Quick Start
Profile the execution of the my_script.py file using cProfile to identify performance bottlenecks.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: python-performance Download link: https://github.com/dandudzi/dotfiles/archive/main.zip#python-performance Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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