skills.rest
acaprino
acaprinoCOMMUNITY
Explore all skills by this author →
GitHub

python-performance-optimization

Profile Python CPU and memory usage with cProfile, memory_profiler, and line_profiler.

6|2|Updated Jan 6, 2026
Search Tags:#performance#python#optimization#profiling#memory-profiler#py-spy#cProfile
One-click install
npx skills add https://github.com/acaprino/alfio-claude-plugins --skill python-performance-optimization-acaprino
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-performance-optimization
Source: https://github.com/acaprino/alfio-claude-plugins/tree/main/plugins/python-development/skills/python-performance-optimization
Command: npx skills add https://github.com/acaprino/alfio-claude-plugins --skill python-performance-optimization-acaprino

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Profiling and optimizing Python code to diagnose slow paths and improve overall performance.

Core Features & Use Cases

  • CPU profiling with cProfile to identify time-consuming functions.
  • Memory profiling with memory_profiler to find leaks and peak usage.
  • Line-by-line profiling with line_profiler to optimize hot loops.
  • Guidance on optimization strategies and best practices for real-world Python apps.
  • Use Case: When a Python app shows latency or excessive memory consumption, profile and optimize critical paths to speed up execution.

Quick Start

Run a quick profiling session on your script using built-in tools such as:

  • CPU: python -m cProfile -o profile.prof your_script.py
  • Inspect: python -m pstats profile.prof
  • Optional: memory profiling with memory_profiler (pip install memory_profiler)
  • Optional: production-like profiling with py-spy: py-spy top --pid <pid>

Frequently Asked Questions about python-performance-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I profile Python code to find slow functions and reduce latency?▼

Profile Python code with memory_profiler to detect memory leaks and find peak usage. Install the package via pip and decorate target functions with `@profile` to generate line-by-line memory consumption reports.

Can I profile CPU usage in a production Python application without code changes?▼

Profile CPU usage in production Python applications without modifying code using py-spy. Attach the sampling profiler to a running process via `py-spy top --pid <pid>` to monitor performance overhead safely.

How do I optimize Python hot loops and line-level execution time?▼

Optimize Python hot loops using line_profiler to analyze line-level execution time. Identify the specific lines consuming the most CPU within a function and apply targeted improvements to those critical paths.

What is the best way to diagnose excessive memory consumption in a Python script?▼

Diagnose excessive memory consumption by profiling Python code with memory_profiler. The tool reports memory usage incrementally per line, helping you locate memory leaks and optimize resource-intensive sections.

Do I need to install external dependencies to start profiling Python execution time?▼

You do not need external dependencies to start profiling Python execution time. cProfile and pstats are built-in modules, allowing immediate CPU profiling, while memory profiling requires installing memory_profiler separately.

Related Skills

Explore More Software Engineering Skills→
farhadunecifarhaduneci

python-performance-optimization

Profile Python CPU and memory usage with cProfile, memory_profiler, and line_profiler.

Community
Intermediate
andronicsandronics
1

performance-analyzer

Analyze CSS performance bottlenecks and deliver optimization strategies.

Community
Advanced
unicorn-pluginsunicorn-plugins
21

verify-regenerated

Run automated regression tests and performance benchmarks on regenerated code.

Official
Advanced
wojonswojons
4

distributed-tracing-logs

Implement distributed tracing with log-based trace context propagation and OpenTelemetry integration.

Community
Advanced