Profiling

A comprehensive guide to profiling and optimizing Python code. Covers CPU and memory profiling tools (cProfile, line_profiler, memory_profiler, py-spy), optimization patterns for loops, data structures, caching, multiprocessing, async I/O, and database operations with practical code examples.

A comprehensive guide to systematic debugging techniques that transforms bug-hunting from guesswork into methodical problem-solving. Covers debugging tools and strategies for JavaScript/TypeScript, Python, and Go including profilers, debuggers, memory leak detection, and best practices for tracking down intermittent bugs and production issues.