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python-performance

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Profile, benchmark, and optimize Python code.

Software Engineering#performance#python#optimization#profiling#cprofile#line_profiler#numba
Authorjustanesta
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Python performance profiling and optimization help developers identify bottlenecks and improve runtime and efficiency of Python code.

Core Features & Use Cases

  • Profiling workflows: cProfile, line_profiler, memory_profiler to locate hot paths and memory hotspots.
  • Optimization guidance: from algorithm choices to data structures, NumPy/Numba approaches and minimal code changes to achieve speedups.
  • Use Case: a data processing function that runs slowly can be profiled, refactored, and re-benchmarked to reduce runtime by orders of magnitude.

Quick Start

Run a quick profiling session on your script to identify bottlenecks and iterate on optimizations.

Dependency Matrix

Required Modules

None required

Components

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/justanesta/claude-code-resources/archive/main.zip#python-performance

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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