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.
PythonPerformanceProfiling+3