Summary
- Profile and optimize Python code using cProfile, memory profilers, and performance best practices.
- Covers CPU profiling with cProfile, line-by-line profiling with line_profiler, memory tracking with memory_profiler, and production profiling with py-spy Includes 20+ optimization patterns: list comprehensions, generators, string concatenation, dictionary lookups, NumPy vectorization, caching, multiprocessing, and async I/O Provides database optimization techniques including batch operations, query planning, and indexing strategies Features memory leak detection with tracemalloc, weak references for caches, and benchmarking tools including custom decorators and pytest-benchmark integration