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How do you profile Python applications?

Expert Python
Quick Answer Profile Python applications: cProfile (built-in, minimal overhead): python -m cProfile -o output.prof script.py. Visualize with snakeviz output.prof. For production: py-spy (sampling profiler - attach to running process without code changes). Line-level: kernprof -l -v script.py with @profile decorator. Memory: python -m memory_profiler with @profile. Always profile first, optimize second.

Answer

Use cProfile, timeit, and line profiling.
Identify slow functions and optimize algorithms.
Apply vectorization and efficient data structures.
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