performance-profiling

What problem does it solve?

This Skill addresses the challenge of slow or inefficient Python code by providing tools and techniques to identify performance bottlenecks and optimize execution speed and memory usage.

Core Features & Use Cases

• CPU Profiling: Pinpoint functions consuming the most CPU time using cProfile and line_profiler.
• Memory Profiling: Detect memory leaks and high memory consumption with memory_profiler.
• Benchmarking: Compare the performance of different code snippets or implementations using timeit.
• Optimization Strategies: Apply common Python optimization techniques like using "".join() for string concatenation and sets for faster lookups.
• Use Case: You have a Python script that takes too long to run. Use this Skill to profile it, identify the slowest parts, and refactor them for significant speed improvements.

Quick Start

Use the performance-profiling skill to analyze the CPU usage of the function my_function and print the top 20 cumulative functions.