Profiling

A comprehensive guide to profiling and optimizing Python code. Covers CPU and memory profiling tools (cProfile, memory_profiler, py-spy), optimization patterns like list comprehensions, caching with lru_cache, NumPy vectorization, and parallel processing with multiprocessing and asyncio.

This skill teaches systematic debugging techniques using the scientific method approach. It covers debugging tools and techniques for JavaScript/TypeScript, Python, and Go, including profiler usage, memory leak detection, binary search debugging with git bisect, and best practices for tracking down elusive bugs in any codebase.

This skill provides comprehensive React Native performance optimization guidelines from Callstack's 'Ultimate Guide to React Native Optimization'. It covers JavaScript/React optimizations (FPS, re-renders, animations), native performance (Turbo Modules, memory management), and bundling optimizations (tree shaking, code splitting) with practical code patterns and debugging commands.